From 5ec0ded1b6a1a56cf1221a9575940add3c251ba1 Mon Sep 17 00:00:00 2001
From: Stefan Schneider <28340802+stefanbschneider@users.noreply.github.com>
Date: Thu, 20 Jul 2023 23:21:35 +0200
Subject: [PATCH] Split off and fix RLlib demo notebook (#42)

The demo notebook used to contain everything: Customization, single-agent with SB3 and multi-agent with RLlib. It had several issues that are resolved in this PR:

* The SB3 version was pinned to some alpha that supported Gymnasium. Now, it's pinned to newly released version v2.0.0.
* RLlib was not pinned to any version, installed the latest one (2.5.1), which broke the notebook (#38 ). RLlib is now pinned to v2.5.1 and the notebook is adjusted to work correctly with it.
* SB3 and RLlib need different Gymnasium versions, leading to conflict within the notebook. This PR splits the RLlib part off into a separate notebook, avoiding the compatibility issues.

Closes #38 , #31, and #32
---
 README.md            |    5 +-
 examples/demo.ipynb  | 1084 ++++++++++++++++--------------------------
 examples/rllib.ipynb |  670 ++++++++++++++++++++++++++
 3 files changed, 1075 insertions(+), 684 deletions(-)
 create mode 100644 examples/rllib.ipynb

diff --git a/README.md b/README.md
index c26d220..ad20d5b 100644
--- a/README.md
+++ b/README.md
@@ -27,7 +27,10 @@ To maximize QoE globally, the policy must recognize that (1) the data rate of an
     <sup><a href="https://thenounproject.com/search/?q=base+station&i=1286474" target="_blank">Base station icon</a> by Clea Doltz from the Noun Project</sup>
 </p>
 
-**[Try mobile-env: ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/stefanbschneider/mobile-env/blob/master/examples/demo.ipynb)**
+**Try mobile-env:**
+
+- Part I: Customizing mobile-env and single-agent RL with stable-baselines3: [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/stefanbschneider/mobile-env/blob/master/examples/demo.ipynb)
+- Part II: Multi-agent RL on mobile-env with Ray RLlib: [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/stefanbschneider/mobile-env/blob/master/examples/rllib.ipynb)
 
 Documentation and API: [ReadTheDocs](https://mobile-env.readthedocs.io/en/latest/)
 
diff --git a/examples/demo.ipynb b/examples/demo.ipynb
index e682fa5..8f9c4b4 100644
--- a/examples/demo.ipynb
+++ b/examples/demo.ipynb
@@ -33,7 +33,7 @@
     "1. Installation and usage of `mobile-env` with dummy actions\n",
     "2. Configuration of `mobile-env` and adjustment of the observation space (optional)\n",
     "3. Training a single-agent reinforcement learning approach with [`stable-baselines3`](https://github.com/DLR-RM/stable-baselines3)\n",
-    "4. Training a multi-agent reinforcement learning approach with [Ray RLlib](https://docs.ray.io/en/latest/rllib.html)\n",
+    "4. Training a multi-agent reinforcement learning approach with [Ray RLlib](https://docs.ray.io/en/latest/rllib.html) --> [**Separate RLlib-notebook**](examples\\rllib.ipynb)\n",
     "\n",
     "\n",
     "## Step 1: Install and Test `mobile-env` With Dummy Actions\n",
@@ -58,28 +58,28 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Requirement already satisfied: mobile-env in c:\\users\\stbs\\projects\\mobile-env (2.0.0)\n",
+      "Requirement already satisfied: mobile-env in c:\\users\\stbs\\projects\\mobile-env (2.0.1)\n",
       "Requirement already satisfied: gymnasium in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (0.28.1)\n",
       "Requirement already satisfied: matplotlib in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (3.7.1)\n",
-      "Requirement already satisfied: numpy in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (1.24.3)\n",
+      "Requirement already satisfied: numpy in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (1.23.5)\n",
       "Requirement already satisfied: pandas in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (2.0.1)\n",
       "Requirement already satisfied: pygame in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (2.3.0)\n",
       "Requirement already satisfied: shapely in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (2.0.1)\n",
       "Requirement already satisfied: svgpath2mpl in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\svgpath2mpl-1.0.0-py3.8.egg (from mobile-env) (1.0.0)\n",
-      "Requirement already satisfied: farama-notifications>=0.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (0.0.4)\n",
       "Requirement already satisfied: cloudpickle>=1.2.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\cloudpickle-2.2.1-py3.8.egg (from gymnasium->mobile-env) (2.2.1)\n",
+      "Requirement already satisfied: jax-jumpy>=1.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (1.0.0)\n",
       "Requirement already satisfied: importlib-metadata>=4.8.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (6.1.0)\n",
+      "Requirement already satisfied: farama-notifications>=0.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (0.0.4)\n",
       "Requirement already satisfied: typing-extensions>=4.3.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (4.5.0)\n",
-      "Requirement already satisfied: jax-jumpy>=1.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (1.0.0)\n",
-      "Requirement already satisfied: cycler>=0.10 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\cycler-0.11.0-py3.8.egg (from matplotlib->mobile-env) (0.11.0)\n",
       "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\pillow-9.4.0-py3.8-win-amd64.egg (from matplotlib->mobile-env) (9.4.0)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (23.0)\n",
       "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\kiwisolver-1.4.4-py3.8-win-amd64.egg (from matplotlib->mobile-env) (1.4.4)\n",
-      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (2.8.2)\n",
-      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (1.0.7)\n",
       "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\pyparsing-3.1.0a1-py3.8.egg (from matplotlib->mobile-env) (3.1.0a1)\n",
       "Requirement already satisfied: importlib-resources>=3.2.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (5.12.0)\n",
+      "Requirement already satisfied: cycler>=0.10 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\cycler-0.11.0-py3.8.egg (from matplotlib->mobile-env) (0.11.0)\n",
       "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\fonttools-4.39.2-py3.8.egg (from matplotlib->mobile-env) (4.39.2)\n",
-      "Requirement already satisfied: packaging>=20.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (23.0)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (1.0.7)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (2.8.2)\n",
       "Requirement already satisfied: tzdata>=2022.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from pandas->mobile-env) (2023.3)\n",
       "Requirement already satisfied: pytz>=2020.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from pandas->mobile-env) (2022.7.1)\n",
       "Requirement already satisfied: zipp>=0.5 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from importlib-metadata>=4.8.0->gymnasium->mobile-env) (3.15.0)\n",
@@ -127,14 +127,14 @@
     }
    ],
    "source": [
-    "import gymnasium as gym\n",
+    "import gymnasium\n",
     "import matplotlib.pyplot as plt\n",
     "# importing mobile_env automatically registers the predefined scenarios in Gym\n",
     "import mobile_env\n",
     "\n",
     "# create a small mobile environment for a single, centralized control agent\n",
     "# pass rgb_array as render mode so the env can be rendered inside the notebook\n",
-    "env = gym.make(\"mobile-small-central-v0\", render_mode=\"rgb_array\")\n",
+    "env = gymnasium.make(\"mobile-small-central-v0\", render_mode=\"rgb_array\")\n",
     "\n",
     "print(f\"\\nSmall environment with {env.NUM_USERS} users and {env.NUM_STATIONS} cells.\")"
    ]
@@ -177,7 +177,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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JkrueyeWQZZmuXbsyYsQId4Cg1+u59957kWWZG264gRMnTnDnnXcCF2btzJo1izVr1pCXl0d8fLx7OKtiNs4f9e3bF4PBwPbt21EqlTz33HO0b98ehULBxIkT+frrr/n111+56667uPPOO1Gr1bRq1Qqj0YhCoWDEiBFER0cTFRXF9OnT2bFjByqVitjYWAICAoiMjGT48OENZngHRCVZQRD+wGaz8d1333Hq1CmGDh1Ks2bNRIByjTp16pS7HskPP/zATTfdxOjRo2vs++ByuViyZAk7duzgoYceYujQoVe0j5ycHHx9fS/p3akgyzKLFi1i+/btPPXUU/Tr1+8qW36pn3/+mf3792M2m/nxxx9ZuHAh8fHx1X6cf3L48GHef/99PDw8mDNnTp0HKFW5fosARRCESqxWK+vWrePUqVMMHz6cNm3aiADlGlVUVMSvv/5Kfn4+UVFRdOnSpVorKP+RLMuYzWYsFou7XklNHaekpAS73Y6Xl9dfBjJXIy0tjd9++w2Hw+Ge+l8d1aKr6vDhwxw7dow+ffrg7+9f53/LIkARBOGKVVwkioqKCAwMrPZy6IIgXLvEWjyCIFwxSZLw9PT803FyQRCE2tJwsmUEQRAEQbhmiB4UocbZ7Xbsdjt6vV4MFQhCHakomnbxei/C/2YGNsBshxqlVCrR6/V1kjdTQQQoQo2y2+1s27aN7Oxshg4d6i5ZLQhC7fv666/da9EIF5hMJmw22yVr21zrwsPDmTFjxl/WqKkNIkARapTFYiElJYWsrCwKCgpEgCIIdWjgwIF07ty5rptRr4gelD+n0Wjq/PdaBChCjfLw8OCGG26gqKjIXWxNEITaJ0kSfn5+lcrEC0J9JgIUoUYpFAoiIiKIiIgQ+SfXkIvvRsXnLgjClRCzeIQaJ0mSuEhdQ2RZ5ty5c/z888/k5uaKrnNBEK6I6EERBKFaORwO9uzZw4EDB3A4HPTr1++aDFAdDgdFRUVYLBbUajVGoxGtVlvj74XL5cJisdTqrDmn00lBQQF2u929WN6fHVuWZQoLC3E6nfj5+SFJEna7nfz8fGRZxmQyuSvVFhcXu1dPNhqNGAyGBvk9qpg9VVBQgEqlwsfHB5Wq8qXXZrNVWvHYy8sLo9GI3W6nuLgYm82GXq93r41ls9koKipyz46seLyxEQGKIAjVSqlU0rx5c5xO558uKHctsNvtfPjhh3z33Xfo9XqcTietWrXiiSee+Mdpm7IsX5K4WZX3MCsri7fffptp06bVSqVtl8vFtm3bePvtt9FoNISHh/PUU0/h7e19ybalpaXcfffd6PV6PvvsM2RZ5qOPPmLdunVoNBqaNWvGU089hUKh4LXXXuPUqVM4HA78/f2ZPXs2AQEBDe77ZDabeemllzh27Bh2u51//etf3HTTTZW+BwcOHOC+++4jPj4ehULBsGHDGDlyJNu2bWPlypUYDAbMZjMPPfQQffv2ZcOGDXz66adotVrKy8uZPHkyPXv2bHDvzT8RAYogCNVKoVDQokUL4uLirtky+T///DNffvklixYtIjY2lvLyck6cOEF6ejp6vZ7AwEDMZjPp6ek0a9aMjIwMHA4HxcXFaDQalEolOp2O3NxcAgIC8PX15fTp01gsFiIiIggMDKS8vJzU1FT0ej25ubmEhoYSGBjI0aNH2bZtGz169KBly5Y1nv9VVFTE22+/zZQpU9wBxq+//srQoUMrHdfpdPLFF1+4VwMGSElJ4auvvmLZsmXodDqmT5/Onj176N27Nw8//DBqtRq73c7jjz9OUlISAwcOrLHzqAmyLHPgwAGOHj3KK6+8QlZWFnPnzqVXr14EBgZW2i4uLo5XX30VjUaDWq0GoEOHDrRp0waTycQPP/zAv//9b7p3706XLl3o1q0bHh4ebNmyhXfffZcOHTrg4eFRV6daI0SAIghXSJZl8vPzSU5OpmXLlpfdpS7LMk6nE6VS2Wgv3gqFokYWYGsIZFlm3bp19O/fn3bt2rmXDvD19WXevHlERUVx3333ceLECebPn88XX3zBhx9+yObNm+nUqRNt2rRh69atWK1WmjRpwqBBg9i7dy/79+/HZDJhNptZunQpOTk53HfffXTt2hWn08n58+dZvnw5R44cITs7m82bNyNJEuHh4TX6PSspKcFsNtO8eXP8/Pzo1q0be/furbQSsSzLJCcn89tvv3HzzTezbt064EJwo9frCQsLQ6vVEhUVxY4dO+jbty9+fn6YzWZycnJwOByYTKYaO4eatG/fPjp06EBQUBAGgwGFQkF+fn6lAEWSJNLS0pg3bx4xMTHcdddd+Pv7ExQUBFx4/3x8fHA4HMiyTFhYmPtxX19f9+ONTeMbtBKEWlJWVsbMmTPp378/q1atuqzXOJ1Otm/fzrx58zh69Gij/FG51tntdnJzc6vcc9GsWTPmzp3LyJEjkSSJXr16MX/+fIxGI7/99huvvPIKL7/8MlFRUXzzzTfAhTyXadOmsWDBAiRJIjk5mcGDB9O8eXOeeOIJBgwYUONBsN1uB3D3lhmNRoqLiytt43Q6WbVqFTfeeCM+Pj7ux729vTGbzZw5c4b09HSSkpLIy8tzP79w4UIee+wxTCZTgxkulGUZWZZxuVzumxiTyYQkSahUKvR6PSUlJZVeExoaypw5cxg5ciRnz57l2Wefxel0up8vLCzkvffe45ZbbnHn6MiyzPnz53n33XcZOXJko+s9AdGDIlymirt+SZJQKBQN4oeiqhwOBzabDZ1Od1kJZwqFAi8vL7y8vDAYDJd1jLKyMlasWMHnn3+OXq+nRYsWjfK9vJYplUoMBgOFhYWV8kn+qOJCVqFly5YYDAYsFgsAbdu2RaPRkJWVxYkTJ5g6dSoAmZmZeHl5ARAcHIyfnx9qtRpfX18KCwvdyadKpbJWEicregIrLsgWi8V9Ea2QmJjIsWPHGDp0KAcOHKCwsJD09HTCw8O54447mD17Nh4eHu5aLXChV2H27NkUFRXx4osvsnHjRsaMGdMg/l42btzI6tWr8fX1RavVunOBXC6XO+H1YqGhoe6KreHh4Tz88MNkZ2cTFhZGSUkJS5cuJSYmhptvvtn9mZaVlbF06VJatmzJkCFDGsT7UlUiQBEui8Vi4YcffkCv19OrVy/3GGlj4XA4+PTTT9m8eTOPP/448fHx//gHr9PpWLBgARMnTiQqKuqyjmMwGLj99tvR6/Vcf/31lz0kVFZWRkZGBpGRkWg0mkb5Y9RYKBQK+vTpw/r167njjjvcQxM5OTmVApe8vLxKd9IXz+youNsG8PPzo1mzZsybNw+tVossy3h5eXHu3LlLEm5dLhcKhcId/FxJkm1VVcyuKSwsxMvLi6NHj9KqVSt3eypuary9vVmxYgUZGRmcPHmSjRs3cs899zBmzBhuueUWLBYL8+fPJyEhwd12g8GATqcjNDSU7Ozsvw346pPevXvTrl07lEole/fu5dtvv8VqtVJaWkpZWRne3t7uc/zj+ZjNZmRZRqPRYLFYWLFiBQUFBSxatAi9Xu8OApcsWYIkSTz22GPu70VDeG+qQgQowmXJy8sjKSkJg8FA+/btKyW6NQZms5nPPvuMb775hg4dOhAfH/+Pr6nILWjatOllH0epVHLLLbcwdOhQdDrdZf2g2Gw25s+fz6pVq5g7dy733Xdfo/shakwkSWLEiBEkJiYyc+ZM2rVrR15eHuXl5QwaNIhly5YhSRIHDhyo1I3/Vzp06ECLFi1Yvnw5cXFxmM1m+vbt6+5F+aOKnIT//Oc/9O/fn44dO9bo98XX15fhw4ezePFiYmJiSEtL4+GHH8bpdDJhwgTGjx9Pjx49aNu2LbIs8+OPP/LRRx8xfvx4ZFlmzZo15Obmkp6ejslkonPnzpSWlvLcc88RFhaG2WwmKSmJp556qkF87yVJcvesyrJMt27dWLt2LUuWLCEnJ4d+/foRGBjI4cOHWbp0KUuXLuXXX38lKSkJo9HIzp07GThwIL6+vnz55Ze888473HfffXz66af4+fkxYsQIvvzyS9asWcP48eNZs2YNISEhXH/99Zf0zDR0ktwAB8GLi4sxmUwUFRXVyjQ6AaxWK3v37kWn09G+fftL5vE3dE6nk23btvHzzz8zZswY4uLi6s2PYXl5OdOnT2fVqlXMnz+fyZMnN8qaB41NaWkp+/btIzMzE6PRSHx8PAEBAezevZusrCxiY2MpLCykd+/eHD16FJVKRbNmzXA6nezevZu4uDh3ImVJSQm7du0iPz8ff39/OnbsCMD+/fvp0aMHCoWCxMREwsPDCQ4O5uDBgxw7dozmzZvTrl27Gv++WCwWduzYQUFBAZ06dSIqKsodjDRv3rzSgnNZWVmcOXOGhIQEXC4XBw8e5MSJE/j4+NCtWzeMRiMOh4PffvuNzMxMtFot7dq1Iyoqqt78TVaFLMtkZGSwe/duPDw86NGjB56enuTn55OUlERCQgJ5eXns27eP8vJyQkND6dy5MzqdjiNHjpCUlOTel7e3N4MGDeLw4cMcPnzY/XhQUBC9evW6ZGitPqrK9VsEKMJl+WN3ZH3/oahIIFMqlfj6+l72UEpFF3l9Or+K4lZnz56lefPmDbZglSAIQlWu343rNlioMQ2tXH1aWhp33nknRqORVatWXdaqnBWJhfWNJEn4+PhUmv0gCILQ2IkARWiUCgsLOX78OCaTidLS0jpfNry2Xdzj1ZACS0EQhAoiQBEapVatWrF+/Xo0Gg0RERF13Zxa5XA4WL9+PWfOnGHs2LHuaZv1md1ud68rIgIqQRBABChCI6VSqejevXtdN6NO5OTkMG/ePA4cOEDTpk0ZPnx4XTfpb9ntdrZt20ZmZiZDhw6tVGFTEIRrlwhQhAbj4nxucZf913x9fRk5ciTNmzendevWdd2cf2S1WklLSyMjI4OCgoIGF6BYLBaKi4sbRFVgSZIaRDtr0x8XZhQuUKlUmEymOp2xKWbxCA1GYWEh69evJyYmhm7dutXLhNb6wmq1Yrfb3dU56zOXy0VGRgZFRUXExcWh1WrruklVsmPHDl555RV3yff6LDg4mKysrLpuRr1iMpmw2WyUl5fXdVPqlYpVqS+eIl4dxDRjoVH6+uuvGTlyJF26dOG///2veyEtQahLVqv1krVnBKGhUyqVGI3Gau9BEdOMhUYpLi6O6667js6dO/9lFU1BqG1arZaAgIC6boYgNDoiQBEajFatWvHZZ5+h1+sbXUnnulKxrodarW501YEFQWjYqlz/+KeffuLGG28kNDQUSZL4+uuvKz0vyzLPPvssISEh6PV6BgwYwMmTJyttk5+fz913343RaMTb25v77ruP0tLSqzoRoepcLhcFBQVYLJYGkSCmUCjw9fUVwUk1kWWZkydP8uijj/Lhhx82iBwKQRCuHVW+ZTKbzbRv3557772XW2+99ZLnlyxZwmuvvcYHH3xATEwMzzzzDIMHD+bIkSPudQLuvvtuMjMz2bJlC3a7nXvuuYcHH3yQ1atXX/0ZCZctNTWVr7/+moiICIYPH97gkhOFq7dz507ee+89Tp06xYgRI665gnY1JScnh5KSEmJjYwEoKyvj1KlTtGzZkuPHjxMbG/ungbbZbMZqteLj41Pvk5svZrPZOH78OKWlpcTGxhIQEFCp/bIsc+DAAQoLC4ELK4F36dIFl8tFamoqWVlZqFQqoqOj3a+tWMMmJSUFjUZDixYt8PT0rKMzvHKyLJOfn8+pU6fQarW0aNHikjVzMjMzOXXqFC6XC7jw/rRt2xa9Xk9GRgapqalotVqaNm2Kp6en+71JTU3Fy8uLFi1aNLoV5uEKApQhQ4YwZMiQP31OlmWWLVvG008/zU033QTAhx9+SFBQEF9//TV33nknR48eZdOmTezZs4fOnTsDsHz5coYOHcrSpUurPWNY+Gt2u53y8nLKy8vdfxjCtaVfv37MmjWLzp074+3tXdfNaTS2bNnCvn37eOmll4ALSy9Mnz6dL7/8kgMHDhAaGvqnAcqvv/7K/v37mT59+mUdp6Lnsy6DGafTyZdffsk333xDUFAQpaWlLFiwgMDAwErtevrpp/H39ycqKgqTyUSnTp0wm8188cUX5OfnU1ZWRn5+Pq+88gr+/v4cPHiQ1157DX9/fxwOB/fcc0+DmDZ/sYp1tObOnQtAUVERvXr14p577qkUUGRkZLB9+3acTifJyckcOXKEDRs2kJmZyZw5cwgJCSE3N5fIyEhmz55NZmYm06ZNIywsjMzMTG677TZuu+22RreIaLUOOp89e5asrCwGDBjgfsxkMtGtWzd27tzJnXfeyc6dO/H29nYHJwADBgxAoVCwa9cubrnllkv2a7VasVqt7n+LjPnqERMTw7hx4/D09GwQq2AK1UuSJCIjI5k3bx4KhaLR/bjVR5Ik4efnh0qlwmw2u1fsDQ4OpnPnznz//fckJSXh7+9P3759iYiIYOfOnaSlpdGkSRN3r8NPP/1EUFAQx44dIzAwELVaTUJCApIkcerUKQoLC+nUqVOtBC4FBQWsXr2aF154gejoaGbPns2PP/7I7bffXmk7Dw8Pxo0bR+/evYELQ7ZGo5HHHnsMhUJBWVkZkyZN4vDhw3Tv3p0VK1Zwxx130K9fP2RZbrBlBRITEyktLeW1114jNzeXSZMmMXz48Eo34x06dCA+Ph6Xy8Ubb7xBQEAAfn5+/Prrr5hMJhYsWMDZs2d57LHHsFgsfPXVV7Rv356ZM2dy+vRpZsyYQZ8+fQgODq7DM61+1fqLVDG//o/TP4OCgtzPZWVlXVKISaVS4evr+5fz8xctWoTJZHL/d62VLq8pKpWK0NBQjEZjg+pOFqqPJEmoVCoRnNSA/Px8jhw5wpEjRzh9+rS71sby5cvJzs5m7dq1fPTRR5SXl3PixAkKCwvdaydVfB6fffYZy5cvJysriyVLlrB+/XosFgsvv/wyixcvpqCggIKCAl555RVKSkpwOBy88847l+T91aTS0lIcDgdBQUHo9Xrat2/PoUOHLtnO5XKxbNkyHnzwQb755hucTieSJKFWq0lNTWXHjh2Ul5cTFRVFeXk5x44d4/vvv+f+++/nlVdeoaioqEHkyv3RwYMHadOmDR4eHvj5+aHT6dxDXRUUCgVKpRKr1cr27dsZOnQoABERERQVFbFr1y5++uknmjZtikajIT8/n+DgYDQaDUFBQaSnp5Ofn18HZ1ezGkTa/qxZs5g6dar738XFxSJIaWRkWSY7O9v9AyUumEJDd/DgQd58803gQpHBgoKCSs+npaUREhLCDTfcQEhICEqlkk6dOmG1Whk7diwlJSWsXbuWqVOnkpCQQOvWrfn444/p0aMHTqeTMWPGMHjwYFwuF9u3b+eHH36gbdu2HD9+nBkzZtTaTYfT6QQu1M2QJAmDwYDZbL5ku5kzZ2IymUhOTmbx4sVERETQqVMn7HY7n332GUlJSXh6euLl5YXT6eT3339nwIABjB8/nldffZXPP/+cBx98sFbO6WrIsozL5XIHYMXFxQQHB7tXS9fpdH/6/gAkJydTXl5Oy5YtAQgJCUGr1fLvf/+boqIiBgwYgFKppG3btvz3v/9lyJAh/PTTT2RnZ2Oz2WrzNGtFtV4FKrqXsrOzKz2enZ3tfi44OJicnJxKzzscDndE+Ge0Wi1Go7HSf0Ljkpuby6hRo+jfvz+HDx+u6+YIwlXr1asXL730Ei+99BJPPvlkpZ5jhULBmDFj8PDwYOrUqTz22GNkZGRUen1ZWRnl5eVERka6h+PMZrN7WnjF40qlkptuuolNmzbxww8/0KpVq1rNJ1KpVEiShNPpRJZlzGbzJcmskiTRuXNnmjZtyoABA+jYsSOJiYkAaDQapk+fzjvvvIO/vz/ffPMNCoWCiIgIRowYQYsWLRg+fDj79+9vMLlyGzZsYMyYMTz66KNYLBZKSkqQZRmn00l5eTkeHh6XvEaWZb755hsSEhIICAhAlmW+/PJL4uLiePvtt3n55Zf57rvvyMnJYfDgwbRo0YLp06eza9cud0JtY1OtAUpMTAzBwcFs3brV/VhxcTG7du0iISEBgISEBAoLC91fToBt27bhcrno1q1bdTZHaEBcLhcWiwWLxeK+IxOEP6q4M20IXf1KpRKtVotWq0WtVl8yq8XPz49p06axfPlyCgoK2LNnD0ql0r2ys6enJz4+Puzfvx+LxcL+/fvx8/PDYDAAlRNj27VrR25uLp999hkDBw6s1XwNT09P1Go1GRkZmM1mkpKSaNeuHXDh999ms+FwODCbzdhsNoqKisjOzsbPzw+n00lZWRmyLLt7TR0Oh3u2S05ODlarlYyMjAY1FD1w4EDeeustFi1axPXXX8/BgwcpLi4mJycHm82Gj48PDoeDoqIid9CVl5fHrl27uOGGG9yfX3l5uXv4R6VS4XA4APDy8mLatGm88cYb3HXXXURGRja6/BO4giGe0tJSTp065f732bNnSUpKwtfXl8jISB5//HEWLFhA06ZN3dOMQ0NDufnmmwFo2bIlN9xwAw888AArVqzAbrczadIk7rzzTjGD5xoWGBjIl19+idlspmnTpnXdHKEecjgc7Nu3j+LiYnr06OG+UDdELpeLDz/8kP3796PRaFAoFLRs2RKLxcIHH3zA008/zd133829997LsmXLWLduHZmZmTz11FN/Op3Ux8eHLl26sH37djp37lyrF3IfHx/Gjh3Lc889h5+fH5Ik0adPH5xOJ+PGjWPixInExcXx4osvolQqyc3NxcfHh4EDB5Kens4rr7wC4L5BmTZtGgaDgQkTJvDWW2/x5ZdfkpOTwzPPPNMgAhRJktDpdO6JB507d2bjxo3MnDmTkpISbrvtNgICAjh48CBz5szh3XffJSAggCNHjuBwOIiPj3fvZ8iQIcybN48ZM2ZQWFhIt27d8Pf3JzMzk8WLFyNJEgUFBUyZMqVRjixUeS2e7du3c911113y+Lhx41i5ciWyLDNnzhz+/e9/U1hYSK9evXjzzTdp1qyZe9v8/HwmTZrk7sobOXIkr7322mXPcRdr8QhC7SgqKmLTpk1ER0fTuXPnOp1JUVhYyKpVqygsLOTuu+8mJiamztryT/Ly8igrK3PnylksFlJTU4mJiSElJYXw8HDMZjOZmZnuBNPg4GCcTiepqakUFhYSHR2NyWQiNTWVoqIifHx8iIiIQJZlzp49S1hYGHq9HlmWKS0tZeHChTRp0oQHHnig1s/XbreTnJzsPmcfHx8ATp06RWBgIAaDgZSUFEpKStBoNERERODl5YXD4SA9PZ2ioiLUajWhoaF4e3u7h4wq3ovAwEBCQkIaZG6aLMsUFxe767nExMSg1Woxm81kZGQQHR2NSqWisLDQ/blXBGIul4vs7GxycnLc75uHhwc2m82deF3x3jSE4A3EYoGCIFST+rRAo8PhIDExkeLiYnr27Nmge1CqU1FREYsXL+bMmTMsW7aMkJCQum6SIPwlsVigIAjVIjY2lj59+tCpU6c6X6BRpVLRpUuXSvkKwoUckBkzZqBSqer8MxKE6iR6UARB+Esul4v8/HwMBoPosRAE4aqJHhRBEKqFQqEQ6/MIglAnRD+pUGtcLheFhYWNsqCQIAiCUL1ED4pQK2RZZteuXTz//PPccMMNPPjgg2g0mrpuliBctZKSEjIyMhpMbRZRZ6gyhUKBLMsN4vOrTRqNhvDw8Dr9nRYBilBrEhMT2bBhAwqFgtGjR4sARWgUjhw5wuuvv94gegaDgoIuqfR9rTMaje6V3YX/CQsLY8aMGXU6K0wEKI1cRenpc+fOERwcXKfVGG+++WZ3yWuR3Cw0Fh07dnSvuSMIjYVCoajz8vliFk8jV7E0+08//UR8fDxDhgz500qUteHir1pDKSok/Lk//myIz1MQhMshZvEIbpIk4e/vT3BwMIGBgdVaP0KWZaxWKwqF4rKGa/7uIibLMna7HZfLhVarFRe8es5qtfLll1+iUCi49dZb0Wq1dd0kQRAaGRGgNHKSJNGyZUuioqLQ6/XVWqq8uLiYDRs2YDQaGThw4FXllNjtdrZs2UJxcTHDhg0TPWP13MmTJ3n00UdRqVTEx8e7l4cXBEGoLiJAuQYolUp3hUmXy0VJSQkGg+Gqh3qKioo4c+YMRqOR8vLyqwpQysrKOHPmDMXFxRQWFooApZ4LDw/npptuQqlUikU+BUGoESIH5RoiyzInT57k+++/p1mzZvTt2/eqghSbzcbx48cxGAzExMRc1fCRy+XizJkzlJeX06JFizrLkxEuT0XytSRJGAwGMSQnCMJlETkowl8qKSkhLy+P/Px8XC7XVe1LrVbTpk0b4OqTJBUKBbGxsVe1D6H2SJJ02auPC4IgXAkRoFxj2rRpg4+PD35+flddh6S675qra38ul4vy8nK0Wi0qlfiKN3bi8xaExkmUur+GSJKEVqulSZMmmEymGuuWl2WZ0tJStm/fTkpKSq1WaJRlmXPnzvHZZ5/xyy+/4HA4au3YQu0Tn7cgNF4iQGkgKkoxN5SUof/+978MHjyYSZMmUVRUVKvHzs3NJS0tjbS0NOx2e60eW6h94vMWhMZJ9Ic2ABUJpDabjWbNmjWIbuzAwECaNGlCTExMrZe0b968OWq1Gn9/f3Q6Xa0eW6h94vMWhMZJzOJpAAoKCli5ciUWi4Vx48Y1iGmdDoeDzMxMfH198fDwqOvmCIIgCPWAmMXTyFRM47VYLO56JvWdSqUiIiKirpshCIIgNFAiQGkANBoNQ4YMQZZlUVK8npFl2V1c7vDhw+Tm5qJUKmnatCmRkZH4+Pig0WgadZ0QWZYpKSlhx44dxMbGEhsbW61LKggX/Pbbb6xdu5aysjK6du3KyJEj0el07N69mzVr1qBUKnnggQdo0aJFXTdVEKqFCFAagIrZN0Lt+afF8CpmKn377bd8/PHHHD16FC8vL3x8fHA4HGRnZ6NWqxk4cCB33303nTp1QpKkRhuofP3119x3330MHDiQ1atX4+3tXddNanSUSiX/+te/8PT0ZM6cOURHRxMfH89LL73Eww8/jNls5oUXXuCNN97AYDAAl36PBeFK1NXvlghQBOFPuFwuTp48ic1mo2XLlpUq27pcLg4dOsTChQs5deoUN954IwsWLCAoKAhZlpEkCYfDwYEDB1i9ejUTJkxg1KhRPPTQQ432wh0REUGbNm1o3bq1CKZrSJcuXQCwWCz4+PggyzKnT5/Gy8uLXr16IUkSn3zyCampqZV6UY4cOUJ6erp7cU+RSCxcDqfTSdu2bQkPD6+zNogApRGpWBE4JycHX19f9Hp9o71jr2lFRUVs3LgRi8WCn58fYWFhwIX3+MCBAzz00EM0adKEDz74gKCgIH766SdWr15Neno6Op2OFi1a0L9/f9566y02bNjA4sWLKSgoYNasWTVag6YuSJJEnz59WL9+Pd7e3uj1+rpuUqPldDpZv349kiTRvn17Dhw4gE6nQ61Wu4eAy8vLK70mNzeXs2fP4nA4+OijjxgzZkyDmAko1K3du3dTUlLCqFGj6qwN4lvayPz+++9s3bqVtm3bcsMNN4g1ba6Qh4cHTZs2pby8HJPJBFwITlJTU5k2bRrx8fHMmTOH/fv3M2HCBMrKyujSpQutWrXCarWyY8cO3nvvPfr378/06dNZsWIFEyZMwGQy8cQTT1TrqtL1gVg0sOa5XC4+++wzdu3axbPPPovRaCQwMJDi4mLKysqQJImysrJLeun69OlDnz59sFqt7Nq1iwceeKDWp/4LDYssy3h5edX575QIUBoZrVaLwWAQvSdXSaPRMGjQIGRZdv+Yu1wu3nrrLQDmzJnDjz/+yNy5c7nzzju5++67CQsLw263o1AocDqdHDhwgAULFjBlyhReeuklnn76aRYtWkTfvn3p0aOH+HyEKlm/fj0rV65kwoQJnDlzBpfLRWRkJB4eHnz88ceUlpYSHR1dqUv+4u9YRQ5UY86FEhoXkWrfyLRt25axY8fSt2/fWo1+K8a3jx07RmlpaYNPzpMkCY1Gg1ardf+YJycns3HjRh599FFycnJ44YUXGDt2LE8++SQOh8P97wceeID169fTvn173n77bcrLy1myZAlDhgyhbdu2rFq1CqvVWsdnKDQ0Op2Ovn37cuzYMbZu3UpGRgY6nY6nn34aWZYxGo3MnDlT9JoKjYboQaklFQua6XS6GgscJElCqVTi6+tbI/v/O7Is89FHH/H0009z1113sWjRokaVjCfLMps3byYoKIiuXbuycOFCYmNjefzxx9m9ezczZswgNDSUPn36UFBQwMsvv8yPP/7ICy+8wNy5c3nggQdISkpi9OjRPPLII+Tn54shEaFKBg4cyMCBAy95PCIiggkTJtRBiwShZokelFogyzInTpzg888/JykpCZfLVddNqhE2mw2r1YrNZmvwPSh/ZLFYSExMJD4+Hp1Ox48//sjo0aORJInFixfTuXNnli5dSlRUFIMGDeK1114jKSmJr7/+mnbt2hEfH8+2bdto3rw5Op2OY8eO1fUpCYIg1GsiQKkFsiyTmZlJSkoK6enpOJ3Oum5StZMkifHjx7N9+3aef/75RtV7AlBeXk5KSgpxcXFkZmZSXl5Oy5Yt2b9/P+fOnWPMmDG8/PLLzJkzh/vvv5/y8nJGjBjB119/jSzLtG3blkOHDgEQEhLCyZMn6/iMBEEQ6jcxxFMLJEmiY8eO+Pj4EB4e3iin+EmShMFgoH379nXdlBohyzJOpxONRkNpaSkqlQqVSkVxcTF6vR6NRsPp06dp3bo1J0+eJDU1lcDAQEpLS3E6nRgMBqxWKy6XC7Va3SiDVEEQhOokelBqgSRJGI1G2rdvj5+fn8igb4CUSiUeHh7k5+cTHByMzWajoKCApk2bUlRUxMkTx7n/7hvJTD5M82Zx9OzZk59//pm4uDi0Wi3p6ekEBQWhUqkoKSlptItcyrKMw+Go9SE+WZZxuVy4XK5GN7woCNcqEaDUEjG9r2Hz9PSkc+fO7N27F09PT5o2bcrGjRsJDw/npptuYtlLL9BMdZSF93Rg/oN9+H7jV+6k2Pz8fHbv3k2vXr0oKCjg3LlzdOrUqa5PqdrJsszu3buZOHEimzdvrtVeIovFwg8//MCOHTuw2+21dlxBEGpO4xtrEIQaoFKpSEhIYP369WRkZHDHHXfw1ltvMWLECKZMmYLaWUROdg5vfvU7/TpncTDNQnx8eyTLeT5dvR2rpYzr+/fnq7VriYqKapQzeOx2O2+++SYffvghZ8+epVu3brVW2j8lJYXffvsNtVpNREQEUVFRtXJcQRBqjuhBEYTL1K1bN0wmEx9//DG33HILzZs35/HHHyc/P5+58+ZTrI5k275UPtpwiK4d2xETHcMHH63inbde4/E7O1GWsZtPVq/i1ltvwcPDo9ENRahUKm6++Wb69OnDbbfdhoeHR60dOzQ0lLi4OJo1a0ZAQECtHVcQhJojAhRBuExGo5Hp06fzzTffsHv3bubPn09kZCRTp07l8MkMVm46Rmm5ncPJeeSknSIvZS/btv/CjDHduK6NnleWLiRAV8zdCSqUxUfAmo/sajzJsgqFghtvvJEvv/yS8ePH12rBMC8vL2666SaGDBlSr9YCqsiNEQSh6kSAIlw1l8uF0+lsdD0Cf1SxKN6oUaOYMWMGR48eZenSpUyfPp3TZ85w7PgJwkICiQ01sX3PSaLCgphw/3jadezOko/28GtSGjPHdsMkp8PZz+HUR5D2LXLRcWSHBVlu+AmeKpUKf3//Wl/rRZIkdDpdpcq/9UFWVhZLly7l2LFjWK3WBv/5CkJtEjkowlWx2WysXr2ac+fO8cgjj+Dj44PNZiM3N5eAgIBGV3Zbr9czbdo0NBoNM2bM4MEHH+Tuu+9m0qRJDB8+nMS9uxnUQuKzbccwUIousCPTXvqUgoICpj/6EBGxRsqdZvRKG5I1F6y5kPc7aH3BuxUYY5ENIaCoXxda4coYjUbCw8N56aWX0Gg09OrVix49ehAZGVnlz1eWZc6ePcvBgwfx9vamR48eqFQqCgoK2LlzJ06nk969e+Pj41NDZyMItUsEKFVU0VugUqka3QXE6XSyb98+CgsL6dOnD1qt9h9fk5mZyeLFi0lOTqZHjx707t2bd955h/fee4/HHnuM0aNHX1La3+VykZSUxPnz5+nTp0+96pK/HB4eHjz66KNERUVx+PBhfv31V3755RceeOABXLKES+WBVqPiqy2JjLk9iDZt23Hvvffh4+NDRnYGaaXnMUr5BOvy8FKVo1Y4UFhyICsHcveALgC8WyIbm4LGBApNo/uuXSs8PDy46667GDx4ML/88guvv/46K1eupGfPntx3332EhYVd9r5kWebIkSPs27ePw4cP06FDB/R6Pa+88gpKpRKlUslvv/3GnDlzLutvVxDqOxGgVIHT6eTgwYPui3FAQECjunBkZGQwZswY0tLS+P7770lISPjH1wQFBTF27FjS0tJo1aoVTqeTo0ePcuDAAY4fP47L5bokQMnKymL8+PGcOHGCTZs20a9fv8tq38Xd43X9vhsMBu68807sdjtjxowhKiqKDz74gPPnz3P0sJK2TXw5l1MAljwm3PMIrePjUSqVREdHU1RURE5ODsfPZ0NJBv6aQgJ1hZjUZiS7GRxmpNJkUG4HryZgaoZsjAP1/2qn1PX5C5fHYrHw888/s3nzZvLz87nxxhvp168fv//+O8uXL2fx4sWXvS9Jkhg2bBjx8fFMnToVgMLCQo4dO8Ybb7yByWTinnvu4fTp07Rq1QpADCkJDZoIUKrAZrNx6NAhTp8+TXh4eL2cLeByubBYLGi12iovSmg0GunQoQMBAQEEBQVd1mt0Oh3Tp0/H5XK579pmzZrF4MGD6dKly59WzfX09KRDhw54eHgQHBx8WcdxOBxs3ryZtLQ07rjjjlqbvvpPduzYwdGjR1m+fDnff/89L774IkGBgSyd+xifrF7FZxt307pDAufD4wgODkGpVOLj44O3tzcxMTEUFxeTmZnB0YIclKW5BGrO46ctwUNlQeksh8LDUHQc1B7gFQveLcEQiqz2QpJECll9l5eXx7Zt27j55ptp2bIl3t7eKBQK4uLi2LVrV5X29WdBaU5ODgaDAaPRiFqtxsfHh/z8/ErbHDx4kNTUVOx2O8XFxVd1PoJQm0SAUgVarZZu3boRFhZGbGxsXTfnEhVj1L/++iutWrWiQ4cOVQpSjEYjK1aswGaz4e/vf9mv+2NCZFhY2N92XRuNRpYvX47FYrns42RnZzNr1iyOHDlCdHQ0gwcPvuz21RSz2cyHH35Ix44dOXToEJ9//jlarZbikhKee/Nr7ugRxZc/HOfM4d1oA1sTEBDoHhqUJAmtVktAQAD+/v6Ul5eTn59PdnYW6fnn8FQUEKDJJ0BbjFrhRLIWIdn2Qf4B0AeBZwyyT6sL/1+hBkQRwPrI5XLRqVMnEhISUCgU2Gw23n//fSZMmMB111131fvX6/U4HA4cDgcajQa73X7J32NxcTHZ2dnu7QShoRABShVU3PnExsbW26qwGRkZnD17Fg8PD9q1a1elAEWSJEwmUw227n+MRmOVyr37+voyfPhwd62L+uDAgQNs3ryZtm3bsmLFCp599ln+/e9/M2zYMA4dOsSSj7cT4K3n0427ebZNB7IymxEWHnHJ96ZiHSO9Xk9oaCjl5S3Jzs4mKzeHM0XZ+ChyCNQW4aMpRaN0QNk5KMuA87+BIRS8W4BXLLI+CEkh/qTri/z8fBITE9m2bRtNmzZFoVCQl5fHrl27mDBhQpX3J8sy5eXlFBQUYLVaKSwsxM/PD5fLRWJiIl5eXhQVFRETE1PpdT179qRnz57YbDZ++eWX6jo9Qahx4tesiuprYFKhXbt2eHh4uBclPHLkCIcPH+a6665r0OsA6fV6nnnmGWw2G15eXnXdHAA+/vhjsrKyUKvVzJ49mx49evD222+j1WqZOnUqr76q4NNPPuZsZjFZp5OQ/NvhHxD4l1NhK75bHh4exMTEEBERQWlpKedzcjiTcw6pJB9vRS7BunwMKitqyYFkTgVzGqh/A30wsk9r8IwBjRdItZfI7XK5KCsrQ6vVNrqZW1dq//79fPDBB6Snp1NaWookSajVam655ZYr2p8sy2zZsoWPPvqI3Nxc5s+fz5QpU3jooYdYvXo1drudhx56qFKv5J8Fw4LQUIgApRGpWJSwQ4cOwIWu3SeffJL169fzxhtvXNFdW32i0+nQ6XR13Qy3igRgi8XCa6+9xmuvvUZaWhrJycm8++67OBwOJIUapQLUWDGaD5GTFUdEVMw/7rviYubt7X0hX6VJE/Lz8zl//jwHcjLQOnLw1xYSpC3AoLIi2YqR7MVQfAI03uAVA6bmyF6xoNRSk0NAsixz6NAhFi5cSN++fbnvvvtqvQ5KfSPLMn379qVDhw6kpKTQunXrq37/JUlixIgRjBgx4pLn+vTpU2k7QWgMRIDSyFz846TT6ejatSt5eXk0b968DltV+ywWCyUlJfj6+lY5WfhyLV68mEceeQSbzfbXG8lOvLI2EWnIQ1ZkczztIAFBIZdMrZZlGavVClCph6Xif9VqNYGBgQQEBGCLi7uQr5KVQVZRLlpHDsG6PHw0peiVVhS2wgu1VQoOXZj5Y2p+IVjRB4PKUCMXsD179vDZZ5+Rl5fHHXfcga+vb7UfoyEpLy9nw4YNJCQksHLlykrPRUREuGfhVIUIPIRrjQhQGjGtVsv06dN58MEHG/TwTlVZrVZeeeUVNm7cyPz58+nbt2+NnLvJZKJt27bAhQCjpKQEoFJujSzLyLlaOP4JuGz42U9w7lxLmjSJQ6H43ywcs9nMt99+i0qlYtiwYX9aG6ZiCEin0xEaGkpwcDClpaUUFBSQkXmO1JJsPKUCgnW5eKvLUMl2JGceknUH5O0DffCFXBWfVhd6WaqxvsqgQYNYuHAhnTp1qrU8pvpMo9EQHx+PyWTi1ltvrfRcfRmiFIT6TgQojVx9GxapDRaLhZ07d/Lrr79y9OhR+vbtW+PHLCsr49lnn6WgoIB33323Uh6G5NMM2ac55B0kQHGeY+n7sYSGYzAY3NuYzWZSUlJQqVSUlZVdVvE6hUKB0WjEy8uLiIgISkpKyM7O5vT5bByFWQSo8wjQFmFSm1HKFihNRipNgexfwDMKTC2QjU1A6/e/tl5BwCJJEuHh4cycObPe52jVFpfLxYkTJzh69Oglz4naJIJweUSA0gBZLBbsdjuenp719mLgcrkoLS1Fp9PVej6Cl5cXCxcu5K677mLAgAG1csy0tDQ0Gg0hISEcPHiQDh06uC/WslKHFNoTufAEatlKoOMU51LPENuslbsXxd/fn1tuucVdJ6UqKo5jMpkwGo1ERUVRWlpKZmYGJ/KzkMryCVTn4K8txqC0opStSMUnoOQ0qL3AIwJ82l6or6LxQpKqPiQmApPKnE4niYmJ2O32S54LDQ2tlDMiCMKfEwFKA1NeXs7ChQs5duwYL774ItHR0XXdpEvIssz+/fuZN28e1113HQ8//HCtBikKhYI2bdrQpk2bWjmeLMt899139OzZE51Ox48//kj79u3duS+SJCEbY8C3FdL53wlQ5ZGbfZiSkAiMRiOSJKFUKqtl+nRFfRWtVouvry9Wa9P/r6+STXreOTzII0BTQICuCK3CjmQtRLIVQsHhCyX2jU2QTS3AI7xB1FeRZRmn00lubi5eXl4YDDWTY1NVOp2OJ598EqVSeUmO0sVDe4Ig/DURoDQw+fn5rFu3jiNHjnD//ffXywAFYN++faxbt46ysjLGjBnTqJMmc3Jy2Lx5M7fccgtlZWVs27aNe++9t3IuhkJ1oRel6BQKawlBzhNkpMbh1bpDjV1QK/JVQkJCCAoKwmZrQU5ODuezM0kpycUoZxOoK8BbY0ansCNZssGSDbmJF4Z9fFqDVxNkfVC9Xg/oxIkTfPPNN8TGxnLjjTfWi3VoysrK+Oyzz+jfvz+zZ8+u9FxMTAzPPfdcHbVMEBoOEaA0MEFBQTz//POkpqbSrVu3um7OXxoyZAjLli1zJwrWZy6XC6vVilarrfLdrSzLJCYmEhJyoYy90WjEZDKxd+9err/+evd2kiQhe0WBbxukrJ34KIvIOX+Y4uImmEzeNXrxr+ih0ev1REZGEhYWRmlpKbm5uSRnpUNxHiZFHsG6fDzV5ahlG1J5JpRngsrzQnKtd8sL6wFpvEBS/217ZVkGlw1cVnA5QVKAQgNKbY2U51cqlahUqnq1gKdOp2P48OHu1a+9vLwufAf+v9iaIAj/rEq/FosWLaJLly54eXkRGBjIzTffzPHjxyttY7FYmDhxIn5+fnh6ejJy5Eiys7MrbZOamsqwYcMwGAwEBgYyY8aMOi3BLMuy+7/6rmKWx8MPP1xvL/ySJBESEsLkyZPp3bt3jU3zrQ4ul4utW7cyceJEtm/fjsvlqtLrnU4nmzdv5o477mD8+PGMGzeO++67j3Xr1l3StS8plEihPUFjRImLMOk06cmncDqd1XlKf0uSJFQqFSaTidjYWLol9KZZfF+k4J4csXdjb35zTpeGUGQz4JJBtpcil5yCtG/g+L8h5b+Qvx/ZXnLJ340sy8guBxQdhdS1cOJtOPYqHH8dzq6G8zuQHeZq/zuLi4tj/Pjx3HDDDfWmSJxSqcTf35/09HQ2b95MTEwMTZo0ISwsjH//+9913TxBaBCq1IPy448/MnHiRLp06YLD4eCpp55i0KBBHDlyBA8PDwCmTJnC+vXr+fzzzzGZTEyaNIlbb72VX3/9Fbjwgz5s2DCCg4PZsWMHmZmZjB07FrVazcKFC6v/DP+By+XizJkzlJSU0KpVq3rRPfxP6std4t9pCG0EsNvtrF27lpUrV2I0GunVq1eV8mWUSiVPPvkk3t7/6wXp0aMHLVq0+NOFEjEEQmBnpPTteClKUeTtp7AwGn//2l14sqKtSqUSPz8/fH19sTWJpaioiMyMc+QUnUddmkuQNhdfTQl6lRWlwwz5+6HwCKi8wNQUTC0uVLBVe4DTCllboeAguCz/O5jLBmWpF0r0F5+E0MHI+pBq+Y5U9A75+fn988a17NChQ3zyySckJSWh0+mQJImCgoJ6E0QJQn1XpQBl06ZNlf69cuVKAgMDSUxMpE+fPhQVFfHee++xevVq+vfvD8D7779Py5Yt+e233+jevTubN2/myJEjfP/99wQFBREfH89zzz3HE088wdy5c2t9xkdpaSmbN28mLy8Pk8lEkyZNavX4Qt1Sq9WMGTMGo9HIrbfeWuWLhyRJl6zIrNVqCQkJ+fPtFSoI6Y58/neU1gJCFKmkJx/Dx6fmCsr9k4vrq+h0OgICAigrK3MvXphSmIFRkU+gtgA/bbG7voorKxdy9qLwDEXyigFnORQkAf/rhbLaHLzz5T58TXruGtIGyZwM5zZA9F0XVmhuxDQaDT4+PgQGBrqToQMCAujevXtdN00QGoSrykEpKioCcCdAVkyru3hqZ4sWLYiMjGTnzp10796dnTt30rZtW4KCgtzbDB48mIcffpjDhw+7y7RfzGq1uqtsAtW6ZLherycuLg5fX99Gncgp/DmFQkH37t3p0qULSqWydnp+dL4QkgDJGzEqStEWHyEnJ47g4OB60fOkUCjw9PTEw8ODsLAwystbkZWVSVpuDicLs/FT5uIl5/Dpuu2olBIPjeyIviwdFApAhv8/B5cs892O02zddZZWsRf1EJWdg7w9yEF9aiQnpb7w8fGhd+/eJCQkoNFoUKvVhIeHV2ml8Mt18uRJ9uzZQ2hoKN27d7/mah8JjdMVBygul4vHH3+cnj17uqdzZmVlodFo8Pb2rrRtUFAQWVlZ7m0uDk4qnq947s8sWrSIefPmXWlT/5Zarea6667D6XTW+fBORQKdSqWq1p4kWZax2+2oVCoxxfFPVORl1OIRkQLikc/vB/M5gqQ0UlKP4O/vX6+6/yuGTzw9PYmNjSMyMoqSkhJycnL4efevPP/+LjRKmV5dWtGxuRblRcGJLMscPX2evYczGDmgJSdS8i7as+vCmkF+nS7UYWmkjh8/zurVq93/ttvtlJaW8thjj5GQkFBtx0lJSWHhwoX07NmTzz//nKysLEaNGiX+1oUG74p/lSdOnMihQ4dqZfnuWbNmVVq7ori4mIiIiGrbv1qtrhcXhqysLJ5++mmio6OZMWNGtdwFybJMSkoKiYmJtGrViubNm4sfrjomSRKyzg+CuyKd/hoPRRm64sOcz2lOSGhYvehF+SNJktBoNO6exuDgYA4cPoHFYiHfeB1m51GMiv/NTim3Oli1/iC3D2pFambRhYRbGUC+cH6WnAtDQo04QOnVqxe9evVy/1uWZfbs2cOnn35abQFKxT6jo6O599572bdvHytWrOCWW25Bq9U2iMR/QfgrVxSgTJo0iW+//ZaffvqJ8PBw9+PBwcHYbDYKCwsr9aJkZ2e7x+mDg4PZvXt3pf1VzPL541h+hYrCU43dsWPHWLVqFTExMYwbN47IyMir3qcsy5w5c4ZDhw6hVCqJi4sTAUo9IEkSBHRAzt6LojSNcHUGJ1KP4OvnX6+75yuCJ29vbxYsWIDL5UKWZTRnU8H+v8TYvMIyzpwrYOkHO8g4X0J+UTnd24YxrE/TCxvIdpBrb/ZSXfhjoClJElFRUZSVlVXbMWRZJicnh5CQEHc14fLy8kqz0ZKSkkhOTsbhcPzt8LjL5cLpdKJSqXC5XJSUlGC1WvHz86vlHkZBuKBK3zpZlpk8eTJr165l+/btxMRUXja+U6dOqNVqtm7dysiRI4EL3ZypqanuO4aEhASef/55cnJyCAwMBGDLli0YjUZatWpVHefUYFUkDIeFhf1lkmVVSZJEmzZtUCgUxMbG1tkPjSzLmM1mfv/9d2JjY90/qNc0tQFCesDpr9DKNoxlR8jJbkpEZHS9f28qelTg/+ueaLzA/r9hnNBAL9559kZkWWbjr6f4/WgWAxOa/O+8FDqQGvdFLy8vj/T0dPe/y8vL2bJlS7VUDK4gSRJ6vd4deFQM5V78/alY2dtut1NWVsb+/ftJT0/H398fSZI4ePAgAGfOnCEvL4+WLVuSmZlJamoqoaGhPPvsszWSNyMI/6RKvxATJ05k9erV/Pe//8XLy8udM2IymdDr9ZhMJu677z6mTp2Kr68vRqORyZMnk5CQ4M5cHzRoEK1atWLMmDEsWbLEPawxceLEa6KX5O94e3szffp0oPrKYVfMHOjTp0+dr5eyZs0aJk+ezIgRI3j33Xev+VVdJUkBAe2Rc/ZC4WmClVmcSD1AYFDIX/ai2Gw2ysvL8fLyql89YZ5NwJzs/qdSocDoeeHvuXVsAJ4GDRr1RbOU9CGgMtCYHT58mI8//tg9zKLRaGjVqhX/+te/qvU4LVu25O233yY1NZWff/6Z6OjoSjci3bt3p3v37thsNlauXMnSpUsJCQmhuLgYl8vlHvbt0KEDAQEBHDx4kISEBB555BFCQ0Mva+FKQagJVQpQ3nrrLQD69etX6fH333+f8ePHA/DKK6+gUCgYOXIkVquVwYMH8+abb7q3VSqVfPvttzz88MMkJCTg4eHBuHHjmD9//tWdSSNQUwFEXQcmFQICAoiIiCA8PLxBdRk7nU5+++03MjIyGDJkCJ6entW3c6UWwnojlaSiddrws53gXHpLYppcOhRns9nYsmULycnJDB06lOjoetTTYmoO+fvAXnjJU22bBtG26UWJ8ZIKvFuBsnEHKD179qxU7VmpVFb7TDFJkujQoQN9+vRh7ty5BAUF8dBDD1VaB+pikZGRLF++HJPJhN1ux+VyodfrK203cODAamufIFyNKg/x/BOdTscbb7zBG2+88ZfbREVFsWHDhqocWmjgJEli2LBhxMfHExAQ0KDuyrKzs5k4cSKHDx9m/fr1DBo0qNr2LUkSeDdF9m6GlH+YAOV5jp47iCU0DIOhcp0Qp9NJYWEhBQUF1ZrHcLUuJP0GQmBPyPgO5H+oCu3VFHza15/gqoZUBCQ1TavVMn78ePdNIvx1ocSKWVm11TZBuBoN5zZWaPBUKhVRUVF13YwqM5lM9O7dGz8/v5pZnFGpg7DeUHQatWwh0HGCc6nNiGveptKFRqfTMWzYMAoLCwkNDa1XF3hJUiD7dgTZBed3/mlPCgoNeLeBoH4X/r9QberTd0EQqosIUAThH3h4eLB48WIsFgs+Pj7Vvn9JksAUg+zTAik3iQBVHseyj1IcEumuQFqxnbe39yV1hmqCLMvk5eWxb98+2rZte1lF5CSFCtm/C3hEQOFRKD0DjpILwYg+7MKwjmcMkvLazTWzWCxYLJZa+QwFoaGrR1l2glB/eXh44OfnV3OJqZLqwkKCai+UuAhyHicz7Uyd1bFwOp0sX76c4cOHs2DBgkqVnP+OJClBHwoh10PT+6HF49D8EYi8GYzNrzg4kWWZ4uJiysrK/vY9qe+Lfu7cuZMXX3yxrpshCA2C6EGpAy6Xi+LiYgwGQ62vPSTUT5IkIRujwK81UtZv+CiLycneT3F4TJ3cbSsUCqKjo2nWrBlNmjSpUr7C/3paJKimkYfc3Fw+++wzTCYTt956KwZD5QRbp8VKWVoWtoIiZKcTlZcH+tBAND6mejX80a1bN3flbUEQ/p4IUGqZLMvs2rWL559/nhtuuIEHH3xQBCkC8P8LCYb2Qs47hMpeSqgimfSUU3h6xtf6rCeFQsHdd9/NgAEDCAwMrPNKyxVl4pVKJU7n/wq8yS4XhQdPcOKNVeRs3405+RwuhwNdoB8+8S1pcu9Iwob3R6nX1kmgUlRUxPr164ELgZvL5cJgMNCqVSvi4uJEoqog/I1rJkApKyurNyXtExMT2bBhAwqFgtGjR4sAhf914dtsNncBqWuSIRCCukD6j5gUJWTn7aewMAo/v9p/TzQaTbUuKXE1goODGTt2LBqNxj3N2+Vwkv719+ybtpiy9Exw/W9ox5KdR+Z3v5Dz815i77+ddvMfQ2Oq/bo7paWlrFy5kpiYGIKCgkhKSkKv12O1Wpk4caKY0isIf+OaCVB27dqFw+GgX79+dR6k3HzzzUiSROfOnTEajXXalvqiuLiYCRMmkJ6ezgcffEBsbGxdN6lOSAoVBHdDPr8fyZJPMKlkpBzDx6fHNX23rVAoLqmuXJB0hMQpz1Oeno2MzDls/EQxVlz0wItm6HGWWTj170/RBwfQcvq9KGr5b99isdC5c2dmz56NwWDg1KlT/Pvf/2bUqFF88cUXIkARhL9xzSTJlpaWkpOTg8PxDzUaapgkSYSFhfHII4/QtWvX+lUNtA4VFxeTlJTE77//zvnz5+u6OTWmIonzbxM59QEXFhKUwKQsQVV4hPPnz1/ymov3VZ8TQ2uCs9zC0Rffo/xcDgAOYBMFxKGjL0Y2UUghF4aCXBYbx15ZSemZ9L/ZY805ffo0Z86cIT8/n99//x2z2YyHh4f42xeEf3DN9KB07NgRnU5XLxZiu2aHL/5GWFgYq1atoqioiA4dOtR1cy6Ly+WisLAQg8Fw2d+r8vJyDh8+jL+/P1FRUX95kZICOyLnHkAyZxCqSOVsylF8fX0rDQc6nU6OHDmCJEm0bNmyQVXnvVpFx86Qt/tAxRLJ2HBRiosW6PFCiTcqsrDh8/8/cdb8Qs59sw1j8/tqtZ2RkZHceeedvPjii1itVgIDA3n00Ufdy4IIgvDXrplftLCwsLpuQr0ky7L77jwgIKDO7uoUCgWdO3euk2P/nYt7J/64ZMCBAweYOXMmPXv25IknnrisIOXs2bNs3LiRsLAw7rjjjj8tm3+hMqvvhVyUs99gUFjQlxwiL7cpwSFh7jbk5eWxadMmFAoFwcHBBAQEVNNZ12+yLFN+Lpvyc9nux2zIKADV/08bUiNh56JeJaeL/MTDyLJcqzcIVquVpk2bsmzZMiRJwmg0XtNDdYJQFddMgCL8uYKCAlavXo0sy4wdOxY/P7+6blK9YrVa+e2339DpdHTu3LlSL8XRo0fZunWrO+HxcgKUwMBAmjVrRlhY2N9uL0kKCOqMnL0Xhfkc4apznEg5gq9fgHtRTaPRSPPmzZEk6YoWXpRlmcLCQvedfUMacnDZ7Ljs/xuu1aHABVhwoUOBGSeGP4xgO8zltdzKC0PLy5cvR5Zl2rdvT58+fWjRosUV5cGlpaW5c+lGjRqFQqFAlmXOnj3Ljh078PHxoX///g1qGQlB+DsiQLnGqdVqPD09kWW5zpOH66Pc3Fx27NiBwWCgWbNm+Pr6up8bNGgQ7733Hs2bN7/sCrP+/v7cfPPNqFSqfx6SURkgtCecXotWtmEqO0JWZlMioy4sEqjT6RgyZAjAFX12hYWF3HvvvaSlpfHJJ5/QtGnTKu+jLkiShNrkhcroiaO4FAANEuFo+IVivFCiAELRXPwiDOH/XA23ugUFBfHKK6+QnJzMzp07mT17NlFRUSxfvrzK+0pOTubIkSNs376dkSNHolAoKCoqYt68eSQkJLB3714yMjK4//77xTCy0CiIAOUa5+npyZ133glcqJZa31UMt1R01df0D7G/vz9dunRBp9NdMuPK19eXcePGAZefV1QRWFwuyb8tcs5epKIzBCqzOJF6gOCQULTaC3U9rmaKellZGcePHyc9PZ38/Pwr3k9d8GoahVdsBAW/HwUuZPvfgA/7MWPFxS34ob+oB0VSKggekFAnbVUoFJw/f56UlBS8vLyIiYm5ov306tWLyMhI9u/f735sz549+Pn58cADD5CcnMzs2bP517/+5f5bvtaSp4XGRQQoNcTlclFQUIBWq/3TPIP6QpKket2+P7LZbHzyySfY7XZGjx5d493ZWq2W/v37A1wyBFLTwZEkScgqA4T2geJUdJINf/sJzqW1IrpJ7FUPyYSEhLBmzRqKi4sbTGJyBUN4MJGjhlB48ASyw4mEhCdKevLn0/b9uscT2LdrLbcSMjMzeeqppwgICOD666/n0Ucf/dugsrCwkD179mCxWCo93rVrV4KCgv50/8HBwSiVSkJDQ7FarRQVFVW62UhMTOTMmTM4HA6Kioqq7+QEoYaJAKWGnD59moceeojmzZuzZMmSBhUE1GfJyck8+eSTWK1WunbtSvv27Wv0eJIk1WlSoyRJ4B2H7NMUKf8oAcrzHMs4RHlIqPsi5HA4yMjIwGAw4Ofnd9mBk0KhoF27dsiyjMVi4ezZswQEBODh4VHvhwgkhYLY+27n/C/7yNz0E7LT9ZfbGiJDaTd3MhofUy228AIfHx9mz55NaGgoeXl5fPXVV2RkZDB37tw/3d5ms5GVlUVpaWmlxys+pz8yGAzu9YnKy8tRKBTuHKUKLpcLh8OBw+EQPSpCgyIClBqSmprKzz//TE5ODkVFRSJAqSahoaGMGjUKq9VKVFTU32578eybBk2lRwrtg1x0FrVswd92jIy0psQ1b40kSaSnp7N69Wr8/Py4++673YHL5Z63LMskJiayfft22rVrx5AhQxpEPpLW34eub8/n4LzXSV79Dc6yci6euINCgV+3drR/7jGCruuOpKjd74Esy1itVo4ePcq7777L1q1b+de//sXo0aP/8jUBAQF/+bzVaiU/Px+r1cr58+fx8/OjQ4cOfPrppxw7doxdu3YRExNzST5Uly5d6NKlCzabje+//75az1EQapIIUGpI9+7d+eSTTwgODiY4OLium9NoeHp68sILLyDL8t8O7zgcDk6ePIlKpSI29uqHQ+qSJEnI3rHg0wIpN4lAdR7Hsg9TEhqJl5cXer0eHx8ffH19cTqdfP311+h0OgYOHHhZtVEqpr96e3vj7e3dYN4rSZLQhwbS8eUnif7XcNK+2kxB0jGcFiueTSIIvaE3IYN6oQv2r/XgBGD79u2sWLGCPn36MGbMGDIzM7n99tv/dvmAvwsq9+zZw4oVKzCbzUyfPp0pU6bQsWNHbr/9dl566SW8vLyYPHlypc+vwQfnwjVNBCg1xMPDg5EjR9Z1MxodSZIuK+/k/Pnz/Pe//0Wr1TJu3LhKs28aJEmJFNoDuegUKnspQY6TnEtrQfOWbQkMDGT06NGo1WqOHj3K+PHjMRqNbN++/bKWDJAkidatWxMVFYWHh0etD2nJskxpaSllZWX4+/tXeeVktacHQf26EdSvW73qNTMYDISEhJCdnU1xcbF7WvCV1mLp3bs3vXv3vuTxUaNGMWrUqOposiDUKyJAERqlitkSGo0Gg8FQ1825apIkIRujwK8tZO3ER1lETlYSJWFRmLy93XVQQkND6d+/P0ajEX9//8vev1KpxGSq/RwNuLBezX//+1/OnTvHqFGjrniWC9SPwKRCly5daNWqFcePH2fdunWkpKTw4YcfMmjQILp2rf2EXUFoaESAIly1irH2wsJCkpOTOX36NE6nk4CAAFq3bo33/19Aa/Pi4eHhQc+ePdm7dy+5ubmEhYXV+PFdLhdWqxWtVlsjwySSQg2hPZHzDqCymwmRkklPOYmnV0d3r0NgYCArV65EoVA0mLwnSZJQqVSo1eoGM7x0ORQKBV5eXnTu3Jn4+HjS09PZtWsX27dvFwGKIFwGEaAIV6yiu3rXrl188sknfP/99zgcDoKCglAqlRQUFFBSUkLbtm256667uPHGGzEYDLUSqLhcLv7zn//w3HPPMX78eF577bUanZLscrnYvHkzn332GePGjaN3797VdrGtNPPCEAiBXeDcj3gri8jJO0hBQYx79o4kSXXWEyLLMk6nk+LiYry8vFCpVJf1WWu1WkaMGIHFYsHb27vmG1oHVCoVUVFRREVFiZk0gnCZRIAiXLGCggLeeustvvjiC9q0acPLL79M69atUalU7nH2zMxMvv76a1588UW+/fZbnnjiCdq0aVMrNURiY2Np3bo1LVq0qPGF9Gw2G1999RUrV67E19eXHj16VEuA4nA42LZtG2lpadx2220YjUak4K7IeYeQynMJJoWMlKP4+PSoF2u8JCUl8fPPPxMfH0+fPn0uq02SJGEwGBrFUNzfqfjO16dhKEGoz66ZAMXlctVK5dFrgSzLFBQUsGDBArZt28YzzzzDgAEDOHbsGB9//DHHjx/HZrMRERFB9+7defTRR7n99tuZP38+jzzyCCtWrKBVq1Y1+lkoFApGjRpFv3798Pf3v6xps7Is43K53K+vSvs0Gg3jxo3Dz8+PkSNHVltAlJ2dzYwZMzhy5Ajh4eEMHjwY2RAEgR2RUjdjVJaSU3iUvNxmBAQG1un3u2Koz2KxYLFYRE+BIAhX5ZoJUA4fPoxaraZZs2aNapy7tlVcgJYtW8aPP/7Iu+++i9FoZObMmWzfvp3WrVvTpk0bNBoNKSkpzJ07F29vb5566imWLVvG3Llzefzxx3n//fdrPC9ErVZXaRVrs9nMm2++iVarZcKECVUqSa9QKOjRowfdunVDqVRW23n5+Phwww03EBUV5V4rR5IkCOqCnLsfRVk2YYoUzqQcxdvH56pK318tSZLo3Lkz0dHR+Pr61oseHUEQGq5rJkBJTk6moKCAyMjIRt+VXFOsVisbNmxg165drFu3jkWLFmE0GnnssceQJIn//Oc/tGnTBoVCgcvlQq1Wk56ezgcffMDkyZNZvHgxzzzzDKNHj+add95hzpw59apH6+TJkyxatAidTscNN9xA8+bNq/T6imTPv1NcXMwPP/xAdHQ0bdu2/cdg2WAwMHfuXGw2W+W1gHQ+ENwdzn6LXmFBX3SQvNw4gkNqPhn4r0iShFarrVJQKAiC8FeumQAlNDSUyMjIS8pAV6eKeg4ZGRlER0ej0Wjq1QX4atntdjIyMtiyZQsJCQn07duXxx57DIVCwZtvvonRaGTdunV8++23WCwWOnbsyF133cXs2bPRarU8//zzrFy50h2sjBs3jiZNmtT1abnFxsbywAMPoNPp/raY1sUuHsa4nM/6+++/Z9SoUSQkJPDVV18REBDwj6/R6/WXJPhKkgKCOiFn70EqzSBMlcHJlCP4+QeiVqsb1fdOEIRr0zUz1tG+fXvatm1bo93OFouFWbNm0bdvXz799NMaO05d8fDwICEhgfPnzzN27Fh+//13duzYwbx58/D09GTKlCksX76c5s2b06tXL/bt28e4cePYv38/06dPJyQkhJUrV9KnTx+8vLzYtm1bvcpT8PLy4rnnnuPpp5++rBk/LpeLXbt2sWzZMlJSUi7rXKKioujSpQudO3e++tWjVR4Q2htJoUKnsGIqO0Jmxrmr26cgCEI9cc0EKCqVqsZzTyqSBK1WKzabrUaPVRckSSInJwej0UjLli3dPSktWrTgiy++4OjRoyxbtozrr7+e2NhYli5dSps2bViyZAlKpZK7776b7du34+npSbt27UhMTPzb90mWZXJycsjIyHAnr9b0+Wm12svu+TKbzbz44otMmzaNL7744rIClA4dOvD111+zYMGCqx5qlCQJya8VGCNBgkBlNgVphxrld08QhGvPNTPEUxv0ej1Llixh0qRJNGvWrK6bUyNOnDhBZGQkTqeTo0eP0qdPH2w2G+vWreP222+nqKiIRx99FLVazaBBgxg/fjyTJ0/mwIEDtGjRgrKyMtLS0oiLi2PDhg3YbLa/HHYrLi7m008/pby8nLFjx9a7NY10Oh1Dhw7F5XKRkJBwWUGNQqEgKCio+hqh9oTQPkjFKegkK762Y5xLb05Mk6ZimKcRcTqdHDlyhMTERJRKJb1793Yvlnns2DF27txJSEgI/fv3r9FhbEGoTddMD0ptkCQJHx8f2rdvj16vb5QXCIfDgVqtxuFwYLFY0Ov1OBwOysrKCAgIIDk5GS8vL1q1asWpU6cwGAyo1WrMZjNqtRqVSkVZWRlarRan0/m3vQ5qtRqTyYTJZKqXP7pqtZqxY8eycuXKyw5QqpskSUg+TcG7GZIEQcrzlGQcwWw216vhM+HqWK1Wfv/9dwwGAw6Hgzlz5nD+/HmysrJ47rnnUCgUfPvtt3z11Vd13VRBqDaiB0WoEqPRSFFREVqtlqCgINLS0jAYDMTExPDTTz8xZcoUtm3bRk5ODlOmTOHIkSOUl5cTHR3NuXPnsNvtBAUFkZ+fj6en598Ou+n1em677TacTme9LdteEURdzOVy4XK5qnW68d9S6pBCe+IqTkYpl+NrPUZ2RjOaNG1Z88f+Ey6Xi7y8PPR6PR4eHpf9HvwxoGqMAf6VMhgMjBkzBrjQs7h161ZKSkrYu3cvzZs3Z9y4cbRv355XX32V22+/3T2bTJZlLBYLNpvN/V9RUVGdTkcXGoby8vI6vzEUAYpQJV26dGHRokUUFhbSo0cPVq1axaRJkxg3bhwTJ07kl19+YdGiRWRnZ+Pp6cmECRO45ZZbCA8P5z//+Q/NmjXDZDKxZ88eunTp8rfJqBUVRhsSu93OunXr+P7775k0aVKNF6SD/19I0KcZ+eo4dh05QaipCElxgNKQCHdgV5sX+9TUVD7//HNCQkK49dZbL/szdLlcHDx4EKvVSocOHa7Ji2hBQQG//fYb5eXllR5PSEggODgYl8vFDz/8gL+/P4GBgWRnZxMSEoIkSYSEhGA2mykrK3NPSZdlmc8++4yffvoJp9PJ3r17mTFjRq3UqHE4HBw6dIh27drVSu0pi8XCyZMna6VSNUBJSQnnzp2jefPmtXK83NxcSkpKrmoxzao4ffo0DzzwQK0c66+IAEWokrCwMMLDw9m+fTuDBg1yl7p/4IEHmDVrFjk5OWzevJmff/6Ze++9l0GDBjFp0iQOHz7Mhg0bmDp1KmfOnCEtLY3Jkyc3umJeOTk5vPDCC+zZswcvLy9eeOGF2jmwpORQcQiJGSlklDgZ6Hkc61ELHjo7ICMbApH8WoNXJChrdvq7JEkoFIoqV+MtKirihx9+wGKxEB4efk3WU3E6nRQVFWE2mys9brfbcblcfPfdd2zZsoVZs2bh5eWFwWCgtLQUWZYxm82oVKpKgZ0kSYwePZp//etf2Gw2JkyYwBtvvFErwV9paSlTpkzhzTffrPGlJgCysrJYtGgRL7/8cq38rhw5coQ1a9Ywb968WglQtm/fzuHDh5k4cWKNHwtgzZo1ogdFaFi8vb25+eab+fjjjxkwYABTp05l4cKFeHt7c8cdd1BQUMCwYcM4c+YMd999N3PmzOHo0aM8/vjjdOjQgRtuuIEFCxYQFBREp06d6vp0qp2fnx+33347Hh4eDBkypFaPHdusFdmpx2njkUaE1oZUkodcCv+/Agxy+s/g1xqpyXBkQ0CN/ahGREQwfvx4dDpdlarxenl50aZNGywWCz4+PjXStvrOz8+PO+6445LHKxaj/OSTT5g1axbe3t64XC66dOnC4sWLOXnyJOvXr6d169aVLiqSJKFUKlEqlbhcLhQKBWq1+rKWfrhaFTMnK1aqrs3j1UZApFQq3cerjRmiFZ/j5S7CWR3Hq2siQBGqRKVSMW7cOL777jtef/11nnrqKcxmM0uWLEGn01FcXMyhQ4dwOBysXLmSyMhIpk+fTkxMDM888wy//vormzZt4s0338TLy6uuT6fa6XQ6Jk+ezD333IOPj0+tDq2E+3twUysnGrONnMIyMnJLAYnIQE98jToklx3OJyHbipFa3HWhV6UG2qdQKPDz86vy61QqFddddx2yLNfKBaY++qvPo7y8nO3bt1NQUMALL7yAJEk8//zztGrVimHDhrFkyRICAwOZNGnSX+5DpVJx++2319qFR6vVMnLkyFpbWsTLy4sbb7yx1o4XFBTEoEGDau1vPDY2tnI16RrWvn37Og9SJLkBpvoXFxdjMpkoKiqq1Q9MuECWZbZv387jjz/OzTffzKRJkzh27BharZbZs2eTkZFBaWkpBoOBpUuXotFoaN++Pb/88gtz585l9OjRPProo1W6u25MXC4Xp06dQpZlmjZtWi0/qLIsI5/6L6T9AMi89lUSBSVWbA4nBSVWlkzohaf+orvY4K5ILe5CUtT9XZIgCNeOqly/xTTjGmI2m8nKysLpdNZ1U6qdJEn06dOH119/nW+//ZZp06YRHh7O0aNHKSgo4LbbbqN58+YMHDjQPY65ePFiZs+ezb333ntNBycAKSkpDB06lCFDhnD27Nnq2WlZDpxPAi7cbzw4vA1P3d2FWf/qTGm5nfTzJZW3zz0E5ozqObYgCEINuDb7UWuY2Wxm5syZ7Nq1i7feeosuXbrUdZOqnVKppGfPnrz77rusWrWK9PR03nvvPXfg4XQ6MRqNfP755yiVSk6ePMmUKVMYO3ZsowpOZFl2V2693Aq0arUao9HoXlCxKseRZRmtVnvpcUpSwfa/IESnUSHLMkmnCgAI9fvDNG2nFbngFJLX5a05JDRsLpeL3NxcysrK8Pb2xmQyVevQhCzLFBQUUFxcjFKpxN/f3/13XlRUREFBAR4eHvj7+1f7EEx5eTm5ubkEBASg1WrJz8+nuLgYo9GIr69vtZ1nxXtYWlqKp6cn/v7+SJJEXl4eJSUlmEwmvL29q61HtKysjNzcXCRJwt/f3z3j8fz585jNZnx8fK76c6x47yRJIjg4GJVKhcPhICcnB7vdjr+/v3sW3sWfY0BAzeWwXeyaCVAqRrJq400tKyvjwIED7N+/n/T09EYZoMCFXIP4+Hjat2/P559/TnZ2NiaTieXLl2O328nMzCQ6Oprff/+dRx55hFGjRjWq4AQuTDWcN28eKpWKZ5555rLqtYSFhfHtt98iyzKhoaGXdZyysjKee+45rFYrc+fOrVR7RZZlZGsRuOyVHjuRVsjb3xxk0s3t8DL8IRCSnWAtRJZlUW/kGnD06FGef/55d2C8ePFifH19q23/siyzbNkySkpKMJvNxMTEMHPmTHJycliwYAFw4W9l2rRptGvXrtq+cw6Hg48//ph3332XN954A19fXxYsWIBer6esrIynnnqK2NjYqz6ey+Xi559/Zs2aNXh4eBAXF8eYMWM4f/48c+fOxWAwUF5ezpw5c4iKirrq41Xk9RUUFOB0OgkNDWXq1KmcPXuWhQsX4uXlhcvlYuHChfj7+1/xcX777TdWr17NiRMnWL16NaGhoXz//fd8+OGH6PV6QkJCmDNnDvn5+cybNw+4MEQzc+ZM2rZtW+O/HdfMEM+pU6dIS0urlTVd/Pz8WLFiBevWrWPgwIE1fry6JEkS+fn5vP/++4wePdqdLOtyubj33nsZM2YMWVlZlJeXN7iaJpcjOTmZlStXsnLlSlJTUy/rNZIkERoaSlhY2GX/gaelpbmPk5ycfOk+FSoq5usAHDqbx8KP9zBucEvaxfrzp5lmimvm/uSaJssyn3zyCTfddBMvvfQSwcHBbN68uVqPIUkSjz/+OAsXLuS5555j7969nD9/nh9//JHAwEBefPFFbrnlFtasWYPD4ai24yYmJpKVlUVsbCwul4t169bRqVMnXnzxRbp168a6deuqpaJycXExK1eupF+/fowYMYIRI0ag0+n44osv6NGjB0uXLiU+Pp7169dXw1lBfn4+x48fZ8aMGUyZMoXDhw9TVFTExx9/zC233MJLL71EUFAQW7duvarjdO/enSVLlrhveBwOB2vWrOHRRx/l5ZdfJiMjg6SkJH766ScCAgJ48cUXue2221i1alW1fo5/5ZoJUI4dO8aPP/6I1Wqt8WMpFApat27NkCFD6m0F1Or0yy+/kJycTIsWLVi0aBFOpxOlUsnKlSuxWCy0adOGpKSkWvlC17a4uDieffZZnn766RotoBQdHc0zzzzDs88+S9OmTSs9J0kS6P1B9b/eqdfXHuB4WiErNx1l2ps/czK9sPIOFWowBP1pgCTL8j8uQyA0HHa7nZSUFNq1a4eHh4d7GYrqJEkSvr6+6HQ6Tp486V6ioqJwml6vp1mzZmRnZ2O32/95h/9AlmUyMzNZu3YtY8eOdS8BcOrUKdq3b49Op6N58+bVdlNaVlbGL7/8ws6dO/nhhx9YunQpOTk5nD59mvj4eAwGA82bNyclJeWqjwXg7+9Phw4dePrpp5k3bx49evRAq9WSmppKfHw8Hh4etGzZkjNnzlzVcfR6PV5eXu7fgcLCQkpKSmjZsiUmk4mYmBjOnDnD6dOnadGiBR4eHrRr14709HQsFkt1nOrfumZuofz9/fH3978mq1PWpJKSEt555x38/PyYP38+vXv3pm/fvmzfvp1Ro0bxyiuvEBERwebNmzl69Gijq32i1+vdUztrsrtTq9Xy8MMPI8vyn49xm5pcCFJK0gB4dXIfnK7/H9YEtJo/zNbRmJB8W1yyG1mWyc/PJzExkcjISJo1a1Zr0zaFmnVxwFlT39UDBw7w3nvv8fjjj7tzpSqOW50Br8vlYs2aNZw/f56NGzdy7Ngx1q9fX6M3QXq9nsmTJxMSEsLUqVM5ffo0QKXzq673taCggJMnT3L//fdjs9n44IMPGDZsWLXs+0pc/DnWpmvml6djx4507dq1zud1NzY7d+5k165d7N+/n169evHwww+jUl1I0Lz++ut55JFHOHLkCDk5OXz88cf1/q7c5XKxd+9evvrqK0pKSv5x+4pCWJIkkZKSwqeffkp6enq1n2dFdda/XN9HpYeI/qC8UKRLp1HhoVPjoVNj0KlRXhxkKNQQ0Rc0f16H5syZM+zcuZO9e/fWSo+jULPUajVNmjRh3759lJSUcODAgWpfbV2WZRITE3n11Vd56KGHaNnywjpQzZs358CBA5jNZo4cOUJoaGi1FG2TJIkBAwYwdOhQd0Kun58fzZs3JzExkbKyMg4dOkR0dHS1BNg6nY64uDhKS0uxWCw4HA48PDxo1qwZiYmJlJaWcuTIkWrrRS0qKsJisdCyZUtat27triQcExPDnj17KC4u5uDBg1f9OTqdTiwWCy6XC6vVitFoxGQyceDAAfLz8zl9+jRNmzaladOmHD58mOLiYhITE4mKiqqVfEJRB0W4Khs3bmT8+PGYzWaioqJQKpUUFhZSWlpKeHg4ANnZ2RQUFPDII4/wyiuvVPkuozYXkcvOzmbEiBEkJiaydu1abrzxxst6ncViYerUqaxYsYKZM2fy3HPP1Ur1zIvJThty2k+QvAlctj/fSFJBxHVI0QNBeelsIFmWyc3NZffu3URFRdGqVat63YNSG70CjcHx48dZsGABGo0GnU7HggULqrVar8vlYvDgwTgcDtq2bYu3tzcPPfQQKpWK559/nrKyMux2OzNmzKiW9aku/txlWeaRRx7hgQceICAggOeff/5C4rgs89RTTxEdHX3Vx3M6naxdu5Zvv/0WnU5HdHQ0kydPrpQ8KkkSzz77LOHh4Vd9vKKiIhYtWkRBQQGyLBMREcHUqVNJT0+v9DnOnz//iooiVkhKSmL58uVs376dnj17MmHCBCwWC++99x5qtZrY2FhmzZpFYWEhCxYsoKysDKvVypNPPknLli2v6Dyrcv0WAYpwVWw2G2lpaRQWFv7tdiqViujo6EtW/r3cY+zfvx+tVkvr1q1rtBfMbDYze/ZsEhMTefPNN2nbtu1lva6icu5//vMfJk+ezB133FEnF3bZZYe8Y8jnfobSjP9NPVZ7gEcIhCYgBbRDUl461FlWVkZZWRm+vr7usuj1PTjJysri9OnTNGvWrNamPjZEsiy778o9PT2rtMr05e4/JyfHXfepopqwSqXCbDZTUlKCXq/HaDRW+3eq4twMBgNqtdo9k8jDw6NSfsXVcjgcFBYW4nQ6MZlM6HQ6ZFmmuLiYsrKyaj2eLMuUl5e7e3FNJpN7CYPCwkKsVmu1fI4Wi4X8/Hz3v729vdFqtRQUFOBwONz/Btyfo06nw9vb+4qPKwIUodZd/AMoSRI6nQ4vL69q+TE6d+4cH3zwAQaDgbFjx1br9Mg/U7EirJ+fX5Xab7fbyc/Px9fXt9Z7T/5ItpdBWTbYSgEZ1J5gCAT1n/+glZWV8cwzz5CYmMjrr79OmzZtar/RVeRwONi4cSP79u0jISGB66+/XgzhCkI9V5Xr9zWTJCvULIfDwaOPPorNZsPf35/i4mL3AoFXe0fh4+ND69at0ev1tTIrysPDAw8Pjyq/Tq1WExQUVAMtunzu+w2VHskUc9n1f0pKSvjll19ITEzkzJkzDSJAUSgUxMXFUV5eTpMmTep1b48gCFUnAhSh2hgMBh555BHi4+N57bXX2L17Nx06dLjq/er1eoYMGeJOEhUqq6gyq1AoyMvLIzs7m9jY2Cp1//r7+/Paa6+RkpJCv379arbB1UShUNC8eXOaNGmCWq0WwzuC0MiIAKWGOBwOjh8/jslkqlJBroaspKSEFStW4OfnR0pKCk8++WS17FeSpKuaHi7LMlarlePHjxMeHl6t5a/rg6KiIrZs2YKnpyd5eXmcPn2aoUOH0rlz58veh1KppFu3bnTr1q0GW1r9FAqFe4xcEITGRfSJ1pA9e/bQr18/7rrrLnJzc+u6ObXCYDAwfPhwxo8fT7t27di0aVO9WSzx888/p1+/fkydOhWz2VzXzalWeXl5HDt2jNOnTxMQEEB0dDSBgYF13SxBEISrInpQaoharUav16PX66+ZsXGlUklkZCQtW7YkOzubd955B7vdjkpV918zjUaDVqulqKiI7Ozsap/FUJfCwsK44YYbMBqNxMTE4HA40Ol0jeb8BEG4NlXpyvnWW2/Rrl07jEYjRqORhIQENm7c6H7eYrEwceJE/Pz88PT0ZOTIkWRnZ1faR2pqKsOGDcNgMBAYGMiMGTMaZQn0Dh06sH37dj7++OMan3VSFyrqDFw8Cay0tJS33nqLp59+mv/85z/ceuut9aZy7y233MKnn35Ku3bt2LBhA8XFxVe1vz87/7ral1arpXPnzjRr1gyNRoPBYKjRoLg6z10QBOGvVOnWNjw8nMWLF9O0aVNkWeaDDz7gpptu4vfff6d169ZMmTKF9evX8/nnn2MymZg0aRK33norv/76K3Ch2M2wYcMIDg5mx44dZGZmMnbsWNRqNQsXLqyRE6wrSqWSJk2a1HUzaoQsy5SUlHDixAlCQ0MJCQlBpVKxZMkSSktLkSTJHYDWh6TWihyWdu3acerUKby8vK46pyUvL4+zZ88SExODn5/fFfdWVCyrfvToUQIDAwkPD69ycFHbPSW5ubmsXbuWli1b0qNHj3rxGQuC0PhcdR0UX19f9wqHAQEBrF69mttuuw24sEBfy5Yt2blzJ927d2fjxo0MHz6cjIwM93TMFStW8MQTT3D+/PnLvmiIOih1S5ZlfvvtNzZv3kyLFi24+eabG0SiYkUwoFQq3euEXAmn08mWLVvYsWMHPj4+3HbbbVdcPVKWZQ4cOMDXX39NdHQ0t99+e71f9fmTTz7h7rvvpnfv3nzxxRcEBATUdZMEQWggqnL9vuJ+YKfTyZo1azCbzSQkJJCYmIjdbmfAgAHubVq0aEFkZCQ7d+4ELqzb0rZt20q1IgYPHkxxcTGHDx/+y2NZrVaKi4sr/SfUrdDQUOLi4oiJiakXOSaXQ5IkPDw8rjo/Q6FQEBkZSUFBAbNmzeKhhx76x0q6fycwMJC4uDhiY2PrzZDY36lYqXvQoEF4ef35ej6CIAhXq8pXloMHD5KQkOAumbx27VpatWpFUlISGo0Gb2/vStsHBQWRlZUFQFZW1iWFrCr+XbHNn1m0aJF7vQOh7kmSREREhDvH5Frr4pckiRYtWjBs2DC++eYbd0nvK91XcHAwt956K2q1ukEEe23atOHjjz9Gr9c3iJ4zQRAapir/GjZv3pykpCSKior44osvGDduHD/++GNNtM1t1qxZTJ061f3v4uJiIiIiqrSPwsJCdDrdVXXtC/+jUCjQ6/V13QygdhcTrKBQKBgwYAA//PADvr6+V1XhVpKkevNeXg6FQnHJjYggCEJ1q3KAotFoiIuLA6BTp07s2bOHV199lTvuuAObzUZhYWGlH6/s7GyCg4MBCA4OZvfu3ZX2VzHLp2KbP6PVaq/6Tm3Xrl2UlZUxdOhQcdfXyFitVtasWYNSqWTUqFG19vmqVKpqW15dEARBqOyq5yK6XC6sViudOnVCrVazdetW93PHjx8nNTWVhIQEABISEjh48CA5OTnubbZs2YLRaKRVq1ZX25R/bGd9KBomyzKlpaX8/PPPZGRkiKma1eDkyZNMmzaN6dOnc+bMmbpujlAPybKM0+kUf2+C0IBUqQdl1qxZDBkyhMjISEpKSli9ejXbt2/nu+++w2Qycd999zF16lR8fX0xGo1MnjyZhIQEunfvDsCgQYNo1aoVY8aMYcmSJWRlZfH0008zceLEGr/r7datGzqdrl4kIa5Zs4bJkyczYsQI3n33XZFoeJUq8mFUKhVhYWF13Rzh/zkcDjIyMvD396/TmUkul4vTp09z6tQpOnToQFBQ0DU5zCvLMhaLBYVCcU2ev1A1TqcTtVqNUqmss+9LlQKUnJwcxo4dS2ZmJiaTiXbt2vHdd98xcOBAAF555RUUCgUjR47EarUyePBg3nzzTffrlUol3377LQ8//DAJCQl4eHgwbtw45s+fX71n9SfqU7G0gIAAIiIiCA8PbxBJkfWdyWRi2bJlDS6XozGTZZkNGzYwc+ZMbrzxRubPn19nn43dbicpKYkjR47g6elZ5ytO15Xy8nLuv/9+FArFNVPdWrgysixTWFjIww8/zJAhQ+qsHVW6Or733nt/+7xOp+ONN97gjTfe+MttoqKi2LBhQ1UO26hIksSwYcOIj48nICBAXFCrQcX0YaF+yc7OJjk5mZSUlDqtFq1Wq2nfvj0eHh7u/LlrkVKpRKFQsGLFCtRqdV03R6jn1qxZQ1lZWZ22Qdy+1wGVSkVUVFRdN0MQatSdd95J06ZNiYuLu6pZTldLoVDQtGlTmjRpUqfd1fWBQqFAo9HUi6Fuof6SZble9O7XfQsEoZ6SZZnk5GROnz5N165d8fLyuqYvblUhSRJeXl7069fv0icrElVr8b2UJKle/OAKgnD5xECkIPyF4uJiHnvsMYYOHcpXX31V181BlmWsViuFhYW4XK66bk7VyDLIDpDzgHQgFeRMkM3//5yYXSMIQmXilkKo92w2G2VlZRiNxlpN7tNoNDRr1owzZ84QGhpaa8f9K3a7ne+++46zZ88yfPhwmjRp0jB6dGQnkAekAuVART6KAlAD/kAEyLpa7VURBKF+Ez0oQr1ms9l48803GTNmDImJibVax0Kv1zN//nw2bdpE//796zwYcDqdlJaWYjabsVqtddqWyya7gAzgGLJcjM1WjtlsoazMgsNhB6zAOeAYYBE9KYIguIkeFKFeM5vNfPfdd3z33XfceOONdO7cuVaPbzAY6s3qwjqdjuHDh1NcXNyAankUAmeBC0XSVq36nt17jmGz2WnTOpqJE29Bq1X//3angRaInyVBEED8EtQrFouFn376CV9fXzp27FjntQrsdjvJycl4eXnV2QXRaDTyzDPPcOONN3LjjTfW+vHrE0mSMBqN/7hEeb0hO7jQO3KhgrMkSdx8c09uv70vJSVlTJ68nFtv7UN0dMUyF3lACeBTN+0VBKFeEQFKPbJnzx5uuukmYmNj+e677+q8KmpqaiqffvopgYGB3HXXXXVS8VapVJKQkOBeLqFh9BoIF5RzIeC44EK9Gh1ffPkTe/cep3nzCIKCLg5GXMB5RIAiCAKIHJR6JTg4mI4dO9KhQ4d6Uf7ey8uL4OBggoOD67RugiRJ7v+EBkKWuZAMWzlXRqVS0rFDUxK6tyYrK5+8vOI/vLCsUeWhuFwuLBaLew2us2fPYrfb67pZgtAgiACF+rOQWGxsLGvXruWNN96oF934AQEB3HnnnQwePLjRrgAtyzIOh6NeLCTZaMgyUBGgXPywjMPholmzcG6+uScarZrTpzP++OLaamWtyMnJ4eOPP6akpIRly5Yxc+ZM1q5dW+3HkWWZgwcP8tRTT4kFM4VGQwzxcKHexe7duwkKCqJ169Yolco6aYdCoSAwMLBOjv1nJEmq0wqgtSE/P59XXnmF8PBw7r33XlFh82q4e02KgNz//+9/XC6Zl1/+HCQoKSlDo1HRpk30H3ZiaFRTjQsKCkhJSSElJYW8vDwWLVrE0qVLGTVqVLUeJz8/n1WrVnHgwAHy8/Np0qRJte5f+L/27js8qir9A/j3Tk+Zkl5IT4CABAihBcKKhhWQlSIgi0hRBKUtiIpYEH64AqsuCKy4CipLkUjvghiKAqGFGkogtASSmWSSTDKTMu2e3x8xIxGQkklmMnk/PPM8ZO7N3HPmTu5955T3EEegAAVATk4O0tLS0KRJE0RFRbn8TZn87syZM/j0008RGRmJZ599FmFhYY4uUsPCGKrGjlQCKAKQD6Ac1a0n1a2SHMdBIOAwePCTKC42QCIRISzMH15ed3ZlcgB86rP0dc7NzQ25ubnYuHEjWrRoAYlEYvcvQCaTCT/88AOSkpKg1dYMChljtgfP8w5vJSbkUVCAAiAkJATt27dHYGBgg1i8r/qCQ+Myai8uLg7jx49HWFhYo13l9pHZbnIWVE0PLgBQDMD02yYGnueg1Vqg1/OIiBCh+p4cE/NnA7+9ACjrqtT1jjGG4OBgPP/887h+/Tr69esHg8GAvn372vUY+/fvR2lpKZKTk7F582ZbdzXHcWCMYcOGDThy5AisVivUarXdjk1IXaMABYBSqcQzzzzTYJYh12q1WLlyJZo1a4ZevXrRGiO14Ovri3nz5kEoFNL7+CC21pIy/N5aUvHbcwDPA3q9FdpCHrdvm2Ew8GAMsPJAdJQYf95wIAcQjfq+JPE8j4qKCshkMru3bFy9ehWenp7o1asXLl26BF9fX3h5eSErK8tux+B5HtnZ2Th27BjGjBmDo0ePoqSkBKtWrYJMJgPHcejevTvatWsHs9mMWbNm2e3YhNQ1uiKj4S0k9uuvv+Ltt99G+/btbS0/roAxhtu3b+PKlStISEiol8X5OI5z2QHAdlFjwKsOVUFJKapn5zDGYDYDxcU8bueaUVRkRUVFVQuLSCSCSqWEh0dIVe8Ncn/7vep1hDgAQgDeAMIBeNTr+BPGGK5cuYLDhw/jiSeeQEJCgl2DlNTUVERFRaF79+744osv8MknnwAA1qxZg549e9rlGAKBAC+99BJeeOEF8DyPKVOm4JVXXrF9pjmOg5+fH/z8/GA0GmmMFWlQGs5dmdi0bt0agwcPRnx8PLy8XCdnhMFgwJtvvonNmzdj4cKFeO211xxdpMbJ1oXDUJXHpBBV3Tjlv22u2l5SyqMgvyowqW4tAQBPT0/4+/sjKCgISqUSAoGgKj5BIKq6gspQlbxNCkAFwBMAV++DYxljUKvVyM7OhkqlQnx8fJ0NkK+rpQk4joNMJoNMJgNjDL1790ZkZCR1/RKXQAFKAxQdHY1ly5ZBIpG41DcisViMyMhIREVFISgoyNHFaZwYj6pWjhIAGlQFKFV5OxhjqKxk0Ol45Nwyo0THw2hiYAyQSqVQKpVo0qQJvL29IZPJ7tFdKgEQ8HsA5OCbKMdxaNeuHby9vREcHFwnragZGRkQi8XQaDQ4fPgwAKC8vNzuxwGq6jNkyJA6eW1CHIEClAbIVaf/ymQyfPjhh5gwYQKCgoIe+1sgYwxFRUW4desWmjdvDqlU2mC+Udb7AGhbawkPwICqLpwi3NlawhhQqmfIyzMjP98Kvb6qtaQqM6wngoOD4e/vb2steSAnORccx0EulyMuLq5OXr9169bYsGEDbt++jebNm2P37t0AgC5dutTJ8QhxNRSgEKdij8X5ysrK8MYbb2Dbtm1YvHgxhg0bZqfS1S2e53Hp0iVotVq0a9eu7oNQxlAViOhQFZjoUb1uDmMM5RUMRUVVA16Li62w/JZ3TSaTwcvLy9ZaIhaLaUbZPbRt2xYxMTG2n8ViMdzd3RvEQHxCnAEFKC7ObDYjLS0NMpnM7oMAnVV1v7ybm5vTDoBljKGiogIlJSW4cuUKsrOzUVFRgfPnz0MkEsHT0xPx8fH2v+nbkqkZUNWFU4KqmTjst0yvgMHAcDvXBK2WR1kZD56vWhNJofBAkyZN4OvrC7lcXjW2pJblM5vNOHr0KEQiETp06OBSn8+DBw9i6dKltp8FAgHCwsIwceJEyrdDyEOgAMXFXbhwAf3794dCocC+ffsQGRnp6CLVOXd3d3z22Wd46623EBER4eji1FCdMGvfvn1ISUnBL7/8AqFQaMsgnJ+fD61Wixs3bmDEiBHo1auXrYWiFgf97T8V+H3Aqx5A9cBWhooKID/fArXGgsJCK/jfJtpIpVL4+fkhKCgIPj4+tnEa9gqcMjMz0b9/f7i5uWH//v2Ijo62y+s6g27duqFdu3a2nysrK7Fr1y58++23NN2XkIdAAYqL8/b2RlxcHBQKhVOs71MfOI5z2vrm5eVh4cKF2L17Nzp16oSlS5ciOjra1nLA8zxycnKwdu1azJw5E7t27cJbb731eDMzGANgwu+tJbrffq4aV2IyM5SWWJGXZ0V+gQVGIwPPV3VFKJW/jy1xc3OzS2vJvVR/Pt3c3KBUuk6SNgC22TV36tu3Lz744AMHlYiQhoUCFBcXEhKC9evX/5aTQnXf/axWKwoKCiCVSm3N987SV84Yg16vx8WLF9GsWTOoVKoGN96BMQaNRoPp06fj8uXL+Oyzz9C+fXucOXMG3377La5evQqr1YrIyEgkJSVhxowZeOGFFzBjxgxMmTIFixYtQnh4+IPrbctbUomqcSWFqApQqlpLqmfi5Kkt0Gis0OmssFqrgjqJRGpbvVqlUtW+5eYhBAUFYd26dRAIBC41ZR6o6r66c3oxz/M4evQofHxcK50/IXWFAhQXV52o6UHy8vKwevVqCAQC6PV6tG3bFn379nWKBHZWqxX/+c9/MGfOHIwdOxZz58512rEl92M0GjFz5kzcunULy5cvR2VlJcaPH4+TJ08iPj4esbGx4DgOV69exdSpUxEVFYXp06dj6dKlePPNN/HWW29h2bJl9w8yba0lJagKTIrx+3o4gNnMUFRkhVpjgUZjgdlc9bxIJIKfnxcCAwMREBBgm/FUXwEgx3Hw9fWtl2PVt19++QXffPON7Wee56FUKvHmm286sFSENByOv/s0IIwxaLVaaLVaRERE2FJJu4LqGQbZ2dlYsmQJOnbsiL/85S91cvOwWq1IT09HQUEBnn766Qeuf8RxHJRKJXx8fODl5eU0LTsPizGGnTt3Ii0tDUuWLLEFJ+Hh4fj+++/RtGlT235CoRA3btzA4sWLMX78eCxatAizZs3CyJEj8cMPP2DMmDG/158xVM26qUDVuJJCVM3K+S3FvJWhooJBrbEgL8+CsjIeFkvVYE03NxkCAgIQFBQEuVxeL60ljU3Hjh1rzOKpbsWs7Sw1QhoLClAegdFoxJ49e5CVlYW//e1viI+Pd3SR7Mbf3x8jRozAzZs3odPpkJiY+FBjAhhjyM/PR1lZGcLDwx9qFoZarcbo0aNx+fJl7Nq1C927d0dFRQWys7MRHh5+V+AnEAjw6quvolevXnWWUKsu6XQ6rFy5Es8//zyaNm2K0aNHIyYmBp9++ikAYNWqVUhNTYXVakXXrl0xZMgQzJs3D7NmzcKMGTOwcuVKjB49GikpKejbty+CAgNRlTytCFWBiQ6AxTbg1WIBCgqqWkvy86taSwD8NhjXB0FBQfDz87ONj6DApG7I5XLI5fIH7+ikqgd019X4I0IepGF9FXUwkUiEoKAgBAcHw9vb29HFsavqVoq4uDgsXrwYI0aMgFgsfuDvFRYW4u9//zueeuopnDt37qGOpVAo0LFjR3Ts2BFNmjSBxWLBv//9b3Tv3h2LFi2C1Wq9q2xSqRTR0dFwc3NrUBfL6vVeLl26hCFDhiA1NRXXrl3D7NmzYTKZMGbMGKxZswZt2rRBp06d8NNPP2HkyJHIy8vDBx98ALPZjI0bN6Jfv34oLi7GyZO/grGrAE4CyASgBWMWWCwMOp0Vly+bcfBQOU6fqcTt2xZYrQIoFArExMSga9euSEhIQGhoqO19bEjvJalfpaWlmDhxIgoKChxdFNJINayvog4mEomQlJSEDh06wN3d3SUv7tU5RB4Wz/MwGo0wGo2wVGfyegC5XI7PP/8clZWV8PHxgdVqhclkgtFohMlketyiO61z587Bz88PERERmDdvHvr06YPAwED861//gl6vx6JFi5Cfnw+TyYS+ffvi/fffx+LFi/H55wswePAg/PTTLkycMBDRUb44mb4bvXr6QCAQ2BbqK9BakJdrRbHOCqOR/bb4pRh+fj4IDg6Gl5dXgwvs6lL1WkKOeD+sViusVmuDWKKivLwct27danBdqsR1UIDyiMRi8UO1LDQWfn5+WLt2LfR6PZo1a/bQv3dn8zfHcZg2bRoGDRpUY8qtq8jMzERUVBQMBgOuXbuG3r17Q6vVIjU1Fa+99hpOnz6Njz/+GAKBAC+//DLGjh2LmTM/xPVrpxEX54dVq65DozmKmBg/ZGXlwGLhYTDw0ORbkZdnQUUFs6WeV6lUCAgIQGBgIDw9PamV5A5Wowm6c5dRknEZZkM5xHIPqFo1gzKuGYSS+vmbTktLwy+//IL33nuvXo5XGwUFBZDL5Y/0hYUQe6IAhdQKx3EICQmp9WvI5XK0adPGTqVyLtXfmKtbmWQyGYxGI8xmM3x9fXHw4EEEBATA09MTV69eQPfucWCsHBUV5yGV6MEBKK8wQiAUobjYgmPHK1FeDphM1d1fMnh7eyMkJARKpbJBrT1UH3irFSUZV5DxzyXQHjkNY34ReJMZAokYUn8f+CW1Q6v3xkHZMhpcHQfHsbGxDzWrzhloNBqoVCoKUIjDUIBCiJ0xxlBcXAyBoGr8h1wuR3Z2NhQKBZRKJW7duoXu3bvD19cXBw4cQP9+z+HUycMwGrV4cWgvHDnyI2QyIQIDlci6mgMrL0R+vgyZmcUwW6QoLLRCLBZDpVIgKCgI/v7+NVqjGqLqAZkcx9m1S4ExhvxfjuPYqx/AcP0WGONRPcJJaDKh4pYa2T/8iKL08+j8zRz4JSXY9T2sXtIgKysLZWVlYIw1mIU+8/Pz4e3t7XItmqThoACFEDsrLCzE6tWrIZVK8eKLL6Jz587YuHEjTCYTOnXqhN27d2PEiBEYNWoU3ntvOhLaqfCvfw1HRUUlDIYKLFu2A6NG9kOpXobvv09DUFAE1GqGixevYsCAAYiIiECTJk2gUqkgEokabFByp9zcXHzyySdo0aIFRo0aZbdv7Ybrt3DqzXkwXMsBANyAEXuhgwZmjEUgfCEGGIPhyk2cfHMektYuhGdEE7scG6j6LEyfPh0Wi8U2vTg8PBytW7e22zHqSkFBAfz8/Fzi80UaJgpQCLGz6laA6umZTZs2hZubGw4fPox+/fph3bp12L17N5599lnk5d1CaWke1q+/gIKCErRLaI1Onf6CmKaJ2LjxLNLTL2LcuHHIzc2DSCRCv3790Lp1a5cbuLh9+3YsXrwYERER6Nq1K+Li4mr9mrzFiuyUHdCdu2x7zh9i9IUPViAf/B/2Lz59ETkbdiN2yki7dfUUFhZCLpfj448/bnD5T7RaLVq0aOHoYpBGzLWucoQ4AW9vb7z00kv4+9//Dk9PT4SEhKB79+5YunQpgoKCMGbMGMyePRt79+7FuHHj0aXLX7D6+1T8sPZXFBfL0bfv88jMvIHly/+Hfv36YcCAATh69Cg6duyIVq1auVxwAgBJSUno0aMHBgwYgPDwcLu8prXSiFvb9oFZfp+27gEhfCGCEHe3CjCzBbe2pMJqNNvl+ACgVCrBGMPx48dx+fJlXLlyBTk5OXZ7/brCGLO1oBDiKNSCQoidcRxXY10ZqVSKCRMmYNCgQbakawaDATNnzoSnpycOHjyG69fV4HkeBw78Ai8vb6xZswbPPvsspk2bhh07duDMmTNISUmBh4eHA2tWd1q0aIGUlBRIpVK71ZGZLSi9dPWRfqf04lWwh5wu/zBMJhMyMzMxf/58W7dVdHQ05syZY7dj1IXKykro9XrbKtuEOAIFKPWgKl+FGVqtFt7e3jTLohEKCQnBtGnTMGvWLEgkEowfPx5JSUlwd3fH9u0/IioqCmazGdevX0d0dDQ+++wzxMfHY9OmTfj888/xxhtvIDY21tHVqDMCgcDuyQ8ZGJiVv/s54LdH1T/ujtYU3lIzSWBthYWFYceOHbBYLGCMgTHWIFrAysrKUF5eTi0oxKEoQKkHjDGcOHECBw4cQHx8PHr06NHg0rXXNZPJBK1WC19f3waRxOpRCQQCDBgwAGKxGO+//z5u3LiBt99+G6tWrYJCoUCHDh1QXFwMi8WCbdu2YerUqfjss8+wZcsWvPvuuxg6dCh9Zh6RQCSCZ1QodGcu2Z4rggWHoYcaJuxDCTrAE9H4fS0oeUwYOJH9Zq1UVlZi/fr1SEtLg9lsBmMMEREReP/99+12jLpgMBhgNptdboVp0rDQFa+eiMViSKVSSCQSaj35A4vFgm+//RZff/01JkyYgFGjRrnk1EahUIg+ffrA19cXGzZswLVr17BixQo0a9bMNs1WoVBg/fr16NmzJ4xGI/7zn/8gKSmJgpPHIJRJEdQzCbpzmQBflT1WBgGiIUMUZOAAqO68BAoECOrVDQI7Jm27ffs29uzZg9dff902vfhBi2M+CsYYCgsLYTAYfluZ2s8uK32XlZVBJpO55N8haTjoqlcPOI5DfHw8oqKioFAoGkQTb33ieR6XLl3C2bNncenSJfA877IXRpFIhC5duiAxMRGLFy8GAFy7dg379u0Dz/OIjo6Gr68vUlNT8emnn9JCbbXAiYSIePE5ZK/fjbLfphl7QIiWuPdsGnlMGMKH9LFrsjahUIiIiAi0adOmThZnNJlMmDdvHnieR0lJCdq3b4+xY8fW+u+nrKzMZZfzIA0HBSj1oGptFBF8fHwcXZT7YozBaDRCIBDUexeLWCzGtGnTkJycjPbt2zeK1oLs7GysW7cOU6ZMgZeXF8aOHQuO4zB16lRIJBJ88skneOmll/DEE084uqgNFsdxUMU1Q5uPJiN9yhwYC4ruu6/U3wet/zmlKpusHW/KYrEYaWlpGDt2LIKDg22ZlydNmmS313/33Xfh4eEBrVaLKVOm4IUXXqjVtYYxBoPBAA8PDwpQiEO5/p2APJSSkhLs3LkTXl5eSE5OrtcgheM4BAcHIzg4uN6O+Weqs38WFhbamsztnV10586dMBqN8Pb2xvz58yEUCmE2m7F48WJMmzYNHh4eWLduHWJjYxtFwFZXOIEAYYN6QazwxNlZi1F68SqslcaqLh8BB6FMCmWrpmg9axICe3QFZ+fWTaVSiWnTptkGyFavGm4vAoEAPj4+4Hke586dQ1BQkC2rMFD1WSstLUV5eTlMJhPM5vtPoc7NzUVGRgb++te/QqfTQalUUmsvcSi68hEAgE6nw7Vr1+Dl5YUuXbq45EDVh2W1WnHgwAGcPHkS3bp1Q1JSkl0DlKKiInz33XeQy+V4//33MXjwYHTs2BEFBQWIi4vDjBkzEBISgu+//x4vv/wyIiIi7HbsxkggESO4T3f4dU1A/q/HoT18CiZdKSReSvh2aQf/bgkQK+V10lrg4eGB5s2b46effkJxcTGaN2+Orl272v04hw4dwtq1azFjxowaf7vVwfDBgwfB8zwKCgru+xoZGRlYvHgxevToAbVajcDAQGpBIQ5FAQoBAAQHB6Nv377w9PSs8Q2sMeI4Dh4eHvD09KyT7J+7d+/GhQsXIJFIMG7cOAwbNgxfffUVOI7D888/D57nsWDBApSUlGDDhg2YOnWqy94oGGOorKz8bdHDupt+z3EcJF4KhPRNRpPnnrY9V9e0Wi1mz56NFi1aIDQ0FHv27MHNmzcxceJEu7w+z/P49ddfsXLlSkydOhWhoaG2lhqgqo5DhgzB4MGDYTKZ8Nprr93zdRhj0Ol0yM7OhslkgkajQbNmzVz2c0caBgpQGhDGmO3/9r5wiMViW3rxxn5REggE6NKlC+Li4qBQKOz+flgsFohEIvA8j23btmH79u3QarWwWCw4c+YMgKpWHKFQCJ7/Y0J216LT6fDee+9BJpPho48+qpeF9Orz863VaqFUKjFx4kSIxWIkJSXhww8/tNvrG41GTJ06FYGBgVi6dCkCAwMxduxY+Pr6Aqiqa/XSC1ar9U/rXlRUhNLSUhQXF0On00GlUtmtnIQ8DgpQGgie53Hz5k3k5uaiVatWdr9xNvag5E7Vg5rrKgfEkCFDkJiYCL1e/6f7SaVSREZGuvS5uXnzJlJSUiCTyfD666+jefPmji6SXcnlcmg0Guzfvx9+fn44ePCgXcdaSaVSbN++3fblRSQSPVZgwfM88vPzYTQaodVqodfr6yQ4J+RRUIDSQBiNRhw6dAhXr16FVCpFQkKCo4tEHpNMJkOzZs0A/D5joqKiAgKBAB4eHpDJZI3mxtCsWTPMmTMHUqnUJcfaVLdobNy4ERUVFQgNDcXYsWPt9voCgQBBQUG1fp3qAEUikaCwsBB6vb7Rd/USx6MApYGQSCSIjY2FVCpFkyb2Ww6eOA7P80hLS8OyZcsglUrh5uaGgIAATJs2rdEEKG5ubrZxEa5WZ6PRiPPnzyMxMRGJiYlgjOHatWtOOQDdarVCr9cjJCQEarUaFRUVUCgUji4WaeQoQGkghEIh4uPjERcX59LZaBljKC8vB8dxcHNzc9l6AlXjLz7++GO88cYb6NKlC3ieh0ajcek6/1H1GAlXdOLECaSnp6Nt27YQCARgjKGoqAi7du3C5MmTHV28GnieR2VlJUJCQpCVlQWRSEQtKMThaJJ7AyIUCl1+ocHi4mJMnDgRb731FgwGwyP/PmMMFosFarUaZWVlNQYWO5ucnBxwHIeEhAR4eHhALpcjJibGpc+vM6lexDMvLw+VlZV2/6xkZWXVGEPEcRyaN2+OS5cuPeA36x/P8zAajQgNDcWlS5cgkUgoQCEORwEKcSrZ2dnYvHkzNm/ejNzc3Md6jcuXL+N///sffvzxR5hMJjuX0H54nqdEWA528uRJrFixAvv27YPVat+VjN3c3HDz5s0az92+fdspz7nZbIbZbEZkZCQuXboEd3d3u6zpQ0htUBdPI1Kdzj4nJwe+vr5QqVRO9229efPmWLBgASQSCSIjIx/rNYRCIUQiEUQikdPV706hoaGorKzExYsX0b59e1sXQFBQkFOX25Xc+Vmxt06dOuHdd9+FXC5H+/btodVq8fXXX6Nfv352P1ZtFRUVwc3NDZGRkbhy5Qq6du1Kn0HicLUK5efNmweO4zBlyhTbc5WVlZgwYQJ8fHzg6emJgQMHQqPR1Pi97Oxs9OnTB+7u7vD398fbb78Ni8VSm6KQh5SRkYGUlBT89NNPTtm6IJPJMHLkSAwdOhRi8eOtKhsTE4NRo0ahV69ej/0a9cHb2xvTpk3DkiVLMH36dMyePRvfffedU3dLuZq2bdti5MiRePLJJ+2+QGVYWBjeeecdHDt2DG+99RaWLFmCPn364LnnnrPrcexBrVZDLpcjJCQEJpMJ/v7+ji4SIY/fgnL8+HF89dVXaN26dY3n33jjDezYsQPr1q2zJSh6/vnncejQIQBVo8X79OmDwMBAHD58GHl5eRgxYgTEYjHmzJlTu9qQB1IqlfDz84Ofn59Trhhc229tHMdBKBQ69cKM1QQCAZKTk9G2bVuUlpbayk3fXOtHdb6b6qRmdfH6rVu3xnvvvQeRSAR3d3d4eHg4ZRdPfn4+VCoV5HI5fHx8EBgY6OgiEfJ4LSgGgwHDhg3D0qVLaySzKikpwTfffIP58+fj6aefRkJCAr777jscPnwYR44cAQD89NNPuHDhAlatWoW2bduid+/e+Oijj/DFF1845Td6V8JxHKKjo/Hiiy+iW7dutW7W5nkearUaRUVFtf7WX929oVarXT576p0EAgH8/PwQHR2NiIgIyOV1syaMM2CMoaysDMeOHYNWq3X5liKDwYCSkhKsW7cOpaWl+Pnnnx9r4Hd90Gq18PPzg0QioQCFOI3HClAmTJiAPn36oEePHjWeT09Ph9lsrvF8bGwswsLCkJaWBgBIS0tDXFwcAgICbPv07NkTpaWlOH/+/D2PZzQaUVpaWuNBHo9AIIBCobBL14darcaKFSuwbt26Wl94DQYD1q1bhxUrVkCtVte6bMT5MMawYsUKJCcnY9q0aSgvL3d0kerU2bNn8eGHH2LDhg1Ys2YNli9fjpycHIcH4NX5WAwGA6xWK3799VccOXIEvr6+kEql8PX1tUvyN0Jq65EDlJSUFJw8eRJz5869a5tarYZEIrkr1XJAQIDtpqNWq2sEJ9Xbq7fdy9y5c6FUKm2P0NDQRy02qQPVzdbu7u617i4SCoVwc3ODu7u7U48bIY+P4zgoFAp4e3vD29vbKbsY7Sk2NhZjxoxBq1atEBgYCIPBgH//+9+YP3++Q8tlNpvx0Ucf4dKlS9BqtZg5cyYkEgkSExPh6emJ1157zSWz+pKG55Ha+HNycjB58mTs2bMHMpmsrsp0l3fffRdTp061/VxaWkpBSh1jjKGiogIVFRXw8vK6Z7+5n58fhg8fDrFYDDc3t1odz83NDYMGDYLZbKYMli5s8ODB6Ny5MwIDA11+Guu1a9ewceNGZGRkQCqVQiwWY+rUqQ4fgMrzPE6cOIHi4mLIZDJ4eXnh888/t2W4HTx4sEPLR0i1R2pBSU9PR35+Ptq1a2ebmnfgwAEsWrQIIpEIAQEBMJlM0Ol0NX5Po9HY+jQDAwPvmtVT/fP9+j2lUikUCkWNB6lblZWV2LJli61Z+l44joNSqYS7u7tdBre6u7tDqVS67BiMxo7jOEgkEkRHR8PDw8Plz3NCQgJmzJiBpKQkdOnSBQAwf/58rFixwqHlMplMUKvV0Gq1KCwshEKhsGWnvvNBiKM9UgtKcnIyzp07V+O5l19+GbGxsXjnnXcQGhoKsViM1NRUDBw4EACQmZmJ7OxsJCYmAgASExPx8ccfIz8/3/ZNYs+ePVAoFGjZsqU96kTsxGq1wmq1OrzP3GKx4MyZM5DJZGjRooVTzoIg5I+ql2sYOHAgoqOjkZmZiTFjxtRJzpVHUVhYCLPZDI1GA4lEAm9vbwpIiFN6pL8UuVyOVq1a1XjOw8MDPj4+tudHjx6NqVOnwtvbGwqFApMmTUJiYiI6d+4MAHjmmWfQsmVLDB8+HJ988gnUajU++OADTJgwweWbfBsSmUyG/v37o7y83OFTds+fP4+ePXvCx8cHP//8M3XvkQaleuXx6dOnOzx5IGPM1mKt0Wjg5ubm8L9vQu7H7qH8ggULIBAIMHDgQBiNRvTs2RNLliyxbRcKhdi+fTvGjRuHxMREeHh4YOTIkZg9e7a9i0JqgeM4eHp6wtPT09FFgaenJ8LCwuDj41PrsS6E1LfqgMQZBn9bLBbk5OQgICAApaWlKCwspACFOK1aByj79++v8bNMJsMXX3yBL7744r6/Ex4ejp07d9b20KSRiIqKwo4dO2zN0YSQx2M0GpGVlYWoqCgUFxdDKpVS1zpxWrQWD3F6HMdRXgZC7KCyshJXrlxBdHQ0srKyIBQK6W+LOC0abUgIsTue51FZWenwAdakpsrKSmRlZSEyMhIVFRXIz8+nVknitChAIYTYldVqxa5duzB58mQcO3bMoSntq/P5lJSUuHxq/Yeh1+tx48YNNG3aFEDVGjw0OYE4KwpQCCF2ZTQakZKSgqVLl2LHjh0ObUWprKzE5s2bsXLlyrvyLzVGlZWVKCkpQUxMDKRSKXietyVoI8TZ0BgUQohdyWQyjBo1Cv7+/hgwYIBD89ZYrVYYDAYYDAaXXozUbDbDZDJBKBRCKpX+6VRmiUQCPz8/+Pr6wmw2O8XsIkLuhQIUQohdCQQCdO/e3bZitiPzfnh4eGDgwIGorKy8aw0wV2EwGLBw4UJkZmZCIpFg0qRJaN269X3fdz8/P4jFYgQFBcFsNlMLCnFaFKAQu+N5Hrm5uTCZTAgLC6vTzJnFxcX48ccfERsbi7Zt2z7yt/Xy8nLs3LkTAQEB6NKly58uYMcYQ35+Pvbs2YN27dohNjb2nsdjjCE3Nxd79+5FYmIioqOj77pZWK1WnD59GpmZmXj22WfvWmATqGqO37VrF+RyOZ588sl7vo9WqxUnT55EVlYWnn32WSiVyvuWv6SkBDt37kTTpk0RHx//UIv18TyPrKwsHD16FMnJyQgKCnqogEMgENz3XFgsFty4cQPu7u4P/XqPi+M4lx4EyhjD8ePHcfv2bSxYsAB79+7FqlWrMGfOHIjFYjDGbGNveJ4HYwx+fn7gOA4BAQEwGAwQiUQ0mJnUcOfnxpEoQCF2p9frsWnTJpSVlWH48OFo0qRJnR1rw4YNGDduHDp06ID169cjODj4kX5///79GD58OMLCwrBjxw7ExMTcd1/GGJYtW4ZZs2bhmWeewcqVK+9587NarViwYAEWLlyIQYMGYenSpXclvNNoNJg0aRKOHz+O//73vxg9evRdr3P06FGMGDECKpUKu3btume+iry8PEyYMAGnTp3CsmXLMHLkyPuWf9OmTRgzZgzatWuHDRs2ICQk5M/eGgBV387fe+89bNmyBW+99Rb++c9/1noV4tu3b2Pt2rXw8vLCsGHDaG2tWsrKysITTzwBb29vxMXFYevWrbBarbYAZevWrTh27BisVisKCgpgMpnwz3/+ExcvXkRhYSFmz55dZ0EiY6xeW9Bc/Xj16fz58xgyZIhDy8AxZwiTHlFpaSmUSiVKSkro4uaEqvv9eZ6Hp6dnnfZxFxcXo7i4GBKJBAEBAY98LL1eD61WC6FQiICAgD+d0cAYQ2FhIUpLSyGVShEQEHDPVg3GGAoKCmAwGODm5gZ/f/+7burVa6GYTCZ4eXnBy8vrrtcxGAwoKCiAQCBAQEDAPVcQN5lM0Gg0MJvN8Pb2vmdLTDWdToeioiKIxWIEBAQ8VNO+1WqFRqNBZWUl5HI5fH19a31BNplMKCsrg0AggKenZ60DnsaMMYavvvoKAPDaa6/hypUrmD17NpYtWwaZTAbGGPLy8qDT6WAymfDhhx9i9uzZ9dKtU1ZWhjlz5uD//u//6mX9oYKCAnz11Vd499136+UzdeXKFezcuROTJk2ql3FWR48eRVZWFl588cU6D4oYY9ixYwciIiIwePBgux7vUe7f1IJC7E4oFP5pV4M93e/m/rDkcjnkcvlD7ctxHHx9feHr6/vA/fz9/W2LYd6LWCx+YAvGwyw1IJFIHnptIpVK9acBzL0IhcJHbpV6EIlEQuMe7Cg4OBhHjhyxBb1yudx2w+Q4DsHBwQgODobRaIRKpULLli3r5f3X6/VQqVRo0aJFvQzEzcvLg5eXF1q0aFEvARHP8/D19UXLli3rPEBhjEGtVsNgMKBly5b1EqCcPn3a4QuzUoBCCCENFMdxSExMxO7duzFr1izcvn0bL7300j0DAoFAgIiIiHrrkhAKhfV6PLFYjLCwsHo7npubW512X/+RXC7/0y899ubj4+PwGV7UxUMIIQ1cfn4+srOzoVQqERERcc8bC2MMxcXF8PLyqpebOM/z0Ol09XY8q9WK0tJSqFSqejme2WxGeXk5FApFvbRoGI1GWCwWeHh41MvxKioqAFQFYo7q4qEAhRBCCCH14lHu35RJlhBCCCFOh8agEEKIi9Pr9Vi+fDmuXLmCbt26oV+/fnYdKMsYww8//IDjx49DIpFgwIAB6NChA8xmM7Zu3YoDBw6gefPmGDFihF1bvasHc65cuRLjx49HSEgIUlJScOLECSQkJGDIkCFwd3e3y3GKi4uxZs0aXLx4Ee3atcPQoUMhEAiwcuVKnDlzBh06dMCgQYPs0iVitVpx8OBBbN++HRzHoX///ujcuTMqKirwzTffICsryy7n8dy5c/jhhx9gMpnwzjvvwMfHB7m5ufjmm29QVFSE/v37o1u3bjCbzdi+fTv279+Ppk2b4pVXXnngAH57oBYUQghxYYwxrF27Frdv38arr76KTZs24eTJk3Y/joeHB8aOHYtevXrhX//6F0pKSnDkyBFs374d48ePR35+PlavXm3XpHBarRZr1qxBZmYmdDodfvzxR5w4cQKTJk3CqVOnsHPnTrskHDMajZg/fz7c3d3xzjvvoHv37hAKhdi2bRvOnTuHcePG4dChQ0hNTbVDrQC1Wo3FixdjyJAh6Nu3LxYsWACtVovVq1dDo9HYzmN6enqtjiOTydCjRw9kZGSgsrISjDEsWrQIPj4+eOGFF7Bo0SLk5eUhPT0dmzdvxuuvvw6tVosVK1bUS3I/ClAIIcSF8TyPtLQ0DBw4EHFxcUhOTkZaWppdj8FxHJ577jk0a9YMTZs2hVAohNVqRXp6Op566inExsaiX79+OH36NIxGo12OaTQasWbNGjz11FMICgqCxWLBkSNHbOXo3bs3Tpw4YZcbaXWwdebMGcybNw+nT5+GxWJBWloa+vbtixYtWqBnz544ceKEHWpWNRXf29sbubm5yMvLs031P3bsGAYNGoS4uDg89dRTOHbsWK2O07RpUyQlJdkGVev1ely9ehUDBgxA586d0axZM5w8eRInTpzAk08+iZYtW+KFF17AsWPHUFlZWet6PggFKIQQ4sLMZjMqKipss1uqByjWhYqKCixZsgTJycnw8vKCTqez5URyc3OD0Wi0S8DAGENqairKy8uRlJQEnudRWVlpm8UDVLXoVFRU2KUFxWKx4MKFC/jrX/+KiRMnYt26dbh8+TJKS0vh7e0NjuMgl8thMBhqfSwAtmUgdu/ejdTUVHh7e4MxhrKyMtusKKVSidLSUrscr1pZWRl4nodcLgfHcVAoFCgtLYVer7c95+HhYZtRVNdoDAohhLgwiUQChUIBjUaDmJgYaDQa+Pn52fUYjDHo9XosWrQIAQEBGD58uC1hoUajAVA1e8Pd3d0uWV55nodGo8HJkycxfvx4HDlyBDqdDk2bNoVarQZQlWXaXlOARSIRWrZsidatWyMgIAA+Pj4oKyuDr68vcnNz0bZtWxQWFtYqaeSdsrOzkZOTg/nz58NisWDy5MkoLi6GUqmEWq1GeHg48vPzH5g08lEpFAoIhUIUFRXB3d0dWq0W7dq1g16vR2FhIXieR1FRETw8POolRwoFKIQQ4sIEAgF69OiBNWvWoLS0FL/++is++OADux/n008/RW5uLsaOHYubN28iMjISnTt3xsKFCxEdHY3t27ejW7dudhmcKxAI8OKLL2LQoEFgjOEf//gHRo8eDaPRiB9++AFyuRzbt2/HoEGD7JINVaFQoG3bttiyZQsiIyNhMBgQHh6Op59+GuvWrYNEIsGuXbvw8ssv1/pYQFULSklJCQ4dOgSTyQSe56FSqZCcnIzVq1ejuLjYLuexsLAQGRkZKCoqwokTJ9C5c2ckJCRg+fLlaNmyJXJzc9G+fXsEBATgs88+Q0xMDHbu3Ink5OR7Lr1hb5QHhRBCXJzJZML27dtx+fJlJCUlITEx0a7r1fA8jwULFkCn09m6BoYPHw4/Pz8cPnwYv/zyC2JjY/G3v/3N7mn2GWPYsmULOnTogMDAQKSmpuL48eNISEhAcnKyXb7pV6/DtXHjRhgMBvTp0wfNmjUDYwy7d+/GqVOn0KFDB3Tv3h0ikajWrTY8z+Ps2bNITU2FUChEz549ERsbC4vFgq1bt+Ly5cvo1q1brc/jpUuX8P3334PneYjFYvTt2xfR0dFYv349CgsL0adPH7Ro0QI8z+PIkSO22Vh9+/Z97PeVErURQgghxOlQojZCCCGENGgUoBBCCCHE6VCAQgghhBCnQwEKIYQQl8IYg9VqhcViqfHIycnBtm3b6iULKqk9mmZMCCHEpfA8j6lTp6KoqAiXL19GaGgoFAoFhg4dioSEBLvkRiF1j2bxEEIIcSmMMRiNRlRUVGDKlCn4xz/+gSeeeAI3btzAwYMH8corr+Drr7+GUCjExYsX0blzZ/j7+2PHjh3o1KkTBgwYAJPJhK1bt+Lo0aOIiIjAiBEjbFlqyeOjWTyEEEIaLY7jIJPJIJPJIBQKIZVKIZPJUFJSgvT0dFuqfLVajeHDh+OLL77A6dOnMWTIEKxatQoFBQX4+eefcebMGYwfPx4SiQT//e9/YbVaHV21RoW6eAghhDQ6SqUSTz31FNq2bYuoqCgkJCSgXbt28Pb2Rl5eHvbu3Yvz589Do9GgvLwcTZo0gdFohLu7u6OL3mhQgEIIIaTREQqFEIvF4DgOYrEYUqkUAoEAAoEAVqsVnp6eGDJkCAYMGAAAEIvFcHNzc3CpGxcKUAghhJA/eP7557FgwQKUlZWBMYbo6Gj06dPH0cVqVGiQLCGEEJdktVqRkZGBqKgoyOVy6HQ65OTkoFWrVsjIyEBoaChUKhXOnj2LsLCwGv+Xy+W4ceMGrl69ColEgtjYWAQEBNAMoFqitXgIIYQQ4nRoFg8hhBBCGjQKUAghhBDidChAIYQQQojToQCFEEIIIU6HAhRCCCGEOB0KUAghhBDidChAIYQQQojToQCFEEIIIU6HAhRCCCGEOB0KUAghhBDidChAIYQQQojToQCFEEIIIU6HAhRCCCGEOB0KUAghhBDidChAIYQQQojToQCFEEIIIU6HAhRCCCGEOB0KUAghhBDidChAIYQQQojTETm6AI+DMQYAKC0tdXBJCCGEEPKwqu/b1ffxP9MgA5TCwkIAQGhoqINLQgghhJBHpdfroVQq/3SfBhmgeHt7AwCys7MfWEFXUlpaitDQUOTk5EChUDi6OPWG6k31bgyo3lTvxoAxBr1ej+Dg4Afu2yADFIGgauiMUqlsVCe2mkKhoHo3IlTvxoXq3bg0xno/bMMCDZIlhBBCiNOhAIUQQgghTqdBBihSqRQzZ86EVCp1dFHqFdWb6t0YUL2p3o1BY633o+DYw8z1IYQQQgipRw2yBYUQQgghro0CFEIIIYQ4HQpQCCGEEOJ0KEAhhBBCiNOhAIUQQgghTqdBBihffPEFIiIiIJPJ0KlTJxw7dszRRaqVX375Bc899xyCg4PBcRw2b95cYztjDB9++CGCgoLg5uaGHj164MqVKzX2KSoqwrBhw6BQKKBSqTB69GgYDIZ6rMWjmTt3Ljp06AC5XA5/f3/0798fmZmZNfaprKzEhAkT4OPjA09PTwwcOBAajabGPtnZ2ejTpw/c3d3h7++Pt99+GxaLpT6r8ki+/PJLtG7d2pY9MjExET/++KNtuyvW+V7mzZsHjuMwZcoU23OuWPdZs2aB47gaj9jYWNt2V6xztdu3b+Oll16Cj48P3NzcEBcXhxMnTti2u+J1LSIi4q7zzXEcJkyYAMC1z3edYA1MSkoKk0gk7Ntvv2Xnz59nY8aMYSqVimk0GkcX7bHt3LmTvf/++2zjxo0MANu0aVON7fPmzWNKpZJt3ryZnTlzhvXt25dFRkayiooK2z69evVibdq0YUeOHGG//vori4mJYUOHDq3nmjy8nj17su+++45lZGSw06dPs2effZaFhYUxg8Fg2+f1119noaGhLDU1lZ04cYJ17tyZdenSxbbdYrGwVq1asR49erBTp06xnTt3Ml9fX/buu+86okoPZevWrWzHjh3s8uXLLDMzk7333ntMLBazjIwMxphr1vmPjh07xiIiIljr1q3Z5MmTbc+7Yt1nzpzJnnjiCZaXl2d7FBQU2La7Yp0ZY6yoqIiFh4ezUaNGsaNHj7Jr166x3bt3s6ysLNs+rnhdy8/Pr3Gu9+zZwwCwffv2McZc93zXlQYXoHTs2JFNmDDB9rPVamXBwcFs7ty5DiyV/fwxQOF5ngUGBrJPP/3U9pxOp2NSqZStWbOGMcbYhQsXGAB2/Phx2z4//vgj4ziO3b59u97KXhv5+fkMADtw4ABjrKqOYrGYrVu3zrbPxYsXGQCWlpbGGKsK7AQCAVOr1bZ9vvzyS6ZQKJjRaKzfCtSCl5cXW7ZsWaOos16vZ02bNmV79uxhTz75pC1AcdW6z5w5k7Vp0+ae21y1zowx9s4777CkpKT7bm8s17XJkyez6OhoxvO8S5/vutKgunhMJhPS09PRo0cP23MCgQA9evRAWlqaA0tWd65fvw61Wl2jzkqlEp06dbLVOS0tDSqVCu3bt7ft06NHDwgEAhw9erTey/w4SkpKAPy+UnV6ejrMZnONesfGxiIsLKxGvePi4hAQEGDbp2fPnigtLcX58+frsfSPx2q1IiUlBWVlZUhMTGwUdZ4wYQL69OlTo46Aa5/vK1euIDg4GFFRURg2bBiys7MBuHadt27divbt22Pw4MHw9/dHfHw8li5datveGK5rJpMJq1atwiuvvAKO41z6fNeVBhWgaLVaWK3WGicPAAICAqBWqx1UqrpVXa8/q7NarYa/v3+N7SKRCN7e3g3ifeF5HlOmTEHXrl3RqlUrAFV1kkgkUKlUNfb9Y73v9b5Ub3NW586dg6enJ6RSKV5//XVs2rQJLVu2dOk6A0BKSgpOnjyJuXPn3rXNVeveqVMnLF++HLt27cKXX36J69evo1u3btDr9S5bZwC4du0avvzySzRt2hS7d+/GuHHj8I9//AP/+9//ADSO69rmzZuh0+kwatQoAK77Ga9LIkcXgJAJEyYgIyMDBw8edHRR6kXz5s1x+vRplJSUYP369Rg5ciQOHDjg6GLVqZycHEyePBl79uyBTCZzdHHqTe/evW3/b926NTp16oTw8HCsXbsWbm5uDixZ3eJ5Hu3bt8ecOXMAAPHx8cjIyMB///tfjBw50sGlqx/ffPMNevfujeDgYEcXpcFqUC0ovr6+EAqFd4161mg0CAwMdFCp6lZ1vf6szoGBgcjPz6+x3WKxoKioyOnfl4kTJ2L79u3Yt28fQkJCbM8HBgbCZDJBp9PV2P+P9b7X+1K9zVlJJBLExMQgISEBc+fORZs2bbBw4UKXrnN6ejry8/PRrl07iEQiiEQiHDhwAIsWLYJIJEJAQIDL1v1OKpUKzZo1Q1ZWlkuf76CgILRs2bLGcy1atLB1b7n6de3mzZv4+eef8eqrr9qec+XzXVcaVIAikUiQkJCA1NRU23M8zyM1NRWJiYkOLFndiYyMRGBgYI06l5aW4ujRo7Y6JyYmQqfTIT093bbP3r17wfM8OnXqVO9lfhiMMUycOBGbNm3C3r17ERkZWWN7QkICxGJxjXpnZmYiOzu7Rr3PnTtX4yK2Z88eKBSKuy6OzozneRiNRpeuc3JyMs6dO4fTp0/bHu3bt8ewYcNs/3fVut/JYDDg6tWrCAoKcunz3bVr17vSBly+fBnh4eEAXPe6Vu27776Dv78/+vTpY3vOlc93nXH0KN1HlZKSwqRSKVu+fDm7cOECGzt2LFOpVDVGPTc0er2enTp1ip06dYoBYPPnz2enTp1iN2/eZIxVTcdTqVRsy5Yt7OzZs6xfv373nI4XHx/Pjh49yg4ePMiaNm3q1NPxxo0bx5RKJdu/f3+NaXnl5eW2fV5//XUWFhbG9u7dy06cOMESExNZYmKibXv1lLxnnnmGnT59mu3atYv5+fk59ZS86dOnswMHDrDr16+zs2fPsunTpzOO49hPP/3EGHPNOt/PnbN4GHPNur/55pts//797Pr16+zQoUOsR48ezNfXl+Xn5zPGXLPOjFVNJReJROzjjz9mV65cYatXr2bu7u5s1apVtn1c8brGWNXM0rCwMPbOO+/ctc1Vz3ddaXABCmOMLV68mIWFhTGJRMI6duzIjhw54ugi1cq+ffsYgLseI0eOZIxVTcmbMWMGCwgIYFKplCUnJ7PMzMwar1FYWMiGDh3KPD09mUKhYC+//DLT6/UOqM3DuVd9AbDvvvvOtk9FRQUbP3488/LyYu7u7mzAgAEsLy+vxuvcuHGD9e7dm7m5uTFfX1/25ptvMrPZXM+1eXivvPIKCw8PZxKJhPn5+bHk5GRbcMKYa9b5fv4YoLhi3YcMGcKCgoKYRCJhTZo0YUOGDKmRC8QV61xt27ZtrFWrVkwqlbLY2Fj29ddf19juitc1xhjbvXs3A3BXXRhz7fNdFzjGGHNI0w0hhBBCyH00qDEohBBCCGkcKEAhhBBCiNOhAIUQQgghTocCFEIIIYQ4HQpQCCGEEOJ0KEAhhBBCiNOhAIUQQgghTocCFEIIIYQ4HQpQCCGEEOJ0KEAhhBBCiNOhAIUQQgghTuf/AYtDmBZng/biAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -302,7 +302,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -314,7 +314,7 @@
    "source": [
     "def plot_env(env_name):\n",
     "    \"\"\"Create env, take a random step, and then render the environment.\"\"\"\n",
-    "    env = gym.make(env_name, render_mode=\"rgb_array\")\n",
+    "    env = gymnasium.make(env_name, render_mode=\"rgb_array\")\n",
     "    env.reset()\n",
     "    env.step(env.action_space.sample())\n",
     "    plt.imshow(env.render())\n",
@@ -339,7 +339,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -367,7 +367,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -414,7 +414,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -541,43 +541,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-0.744409</td>\n",
-       "      <td>0.199264</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-0.796059</td>\n",
+       "      <td>1.095001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>-0.501816</td>\n",
-       "      <td>0.580297</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-0.632101</td>\n",
+       "      <td>0.937527</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.780080</td>\n",
-       "      <td>1.581959</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-0.469606</td>\n",
+       "      <td>0.729372</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.796922</td>\n",
-       "      <td>1.073442</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-0.618302</td>\n",
+       "      <td>0.819879</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
        "      <td>2</td>\n",
-       "      <td>-0.661286</td>\n",
-       "      <td>0.739973</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-0.630108</td>\n",
+       "      <td>0.864256</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -586,19 +586,19 @@
       "text/plain": [
        "           overall connections  number connections  number connected   \n",
        "Time Step                                                              \n",
-       "0                            2                   2                 2  \\\n",
-       "1                            4                   4                 3   \n",
-       "2                            2                   2                 1   \n",
-       "3                            1                   1                 1   \n",
-       "4                            3                   3                 2   \n",
+       "0                            1                   1                 1  \\\n",
+       "1                            2                   2                 2   \n",
+       "2                            3                   3                 3   \n",
+       "3                            3                   3                 2   \n",
+       "4                            2                   2                 2   \n",
        "\n",
        "           mean utility  mean datarate  \n",
        "Time Step                               \n",
-       "0             -0.744409       0.199264  \n",
-       "1             -0.501816       0.580297  \n",
-       "2             -0.780080       1.581959  \n",
-       "3             -0.796922       1.073442  \n",
-       "4             -0.661286       0.739973  "
+       "0             -0.796059       1.095001  \n",
+       "1             -0.632101       0.937527  \n",
+       "2             -0.469606       0.729372  \n",
+       "3             -0.618302       0.819879  \n",
+       "4             -0.630108       0.864256  "
       ]
      },
      "execution_count": 9,
@@ -649,7 +649,7 @@
     "         }\n",
     "    \n",
     "# pass the configuration to the environment\n",
-    "env = gym.make(\"mobile-small-central-v0\", config=config, render_mode=\"rgb_array\")\n",
+    "env = gymnasium.make(\"mobile-small-central-v0\", config=config, render_mode=\"rgb_array\")\n",
     "env.reset()\n",
     "\n",
     "for _ in range(40):\n",
@@ -738,16 +738,16 @@
        "      <td>67.215703</td>\n",
        "      <td>52.943728</td>\n",
        "      <td>83.360218</td>\n",
-       "      <td>-0.902071</td>\n",
+       "      <td>-0.814810</td>\n",
        "      <td>-1.0</td>\n",
-       "      <td>-0.103357</td>\n",
+       "      <td>-0.127394</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>60.145925</td>\n",
        "      <td>51.157285</td>\n",
        "      <td>76.509602</td>\n",
-       "      <td>-0.736425</td>\n",
+       "      <td>-0.686548</td>\n",
        "      <td>-1.0</td>\n",
        "      <td>-0.064351</td>\n",
        "    </tr>\n",
@@ -756,27 +756,27 @@
        "      <td>56.253197</td>\n",
        "      <td>45.321201</td>\n",
        "      <td>74.520349</td>\n",
-       "      <td>-0.473469</td>\n",
+       "      <td>-0.506864</td>\n",
        "      <td>-1.0</td>\n",
-       "      <td>0.119474</td>\n",
+       "      <td>0.019707</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>58.155210</td>\n",
        "      <td>40.677124</td>\n",
        "      <td>75.709291</td>\n",
-       "      <td>-0.764591</td>\n",
+       "      <td>-0.561646</td>\n",
        "      <td>-1.0</td>\n",
-       "      <td>-0.052410</td>\n",
+       "      <td>0.098105</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>40.510698</td>\n",
        "      <td>16.895876</td>\n",
        "      <td>67.734091</td>\n",
-       "      <td>-0.460898</td>\n",
+       "      <td>-0.583361</td>\n",
        "      <td>-1.0</td>\n",
-       "      <td>0.564930</td>\n",
+       "      <td>0.729975</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -786,11 +786,11 @@
        "Metric distance station                       user utility               \n",
        "                   mean        min        max         mean  min       max\n",
        "UE ID                                                                    \n",
-       "0             67.215703  52.943728  83.360218    -0.902071 -1.0 -0.103357\n",
-       "1             60.145925  51.157285  76.509602    -0.736425 -1.0 -0.064351\n",
-       "2             56.253197  45.321201  74.520349    -0.473469 -1.0  0.119474\n",
-       "3             58.155210  40.677124  75.709291    -0.764591 -1.0 -0.052410\n",
-       "4             40.510698  16.895876  67.734091    -0.460898 -1.0  0.564930"
+       "0             67.215703  52.943728  83.360218    -0.814810 -1.0 -0.127394\n",
+       "1             60.145925  51.157285  76.509602    -0.686548 -1.0 -0.064351\n",
+       "2             56.253197  45.321201  74.520349    -0.506864 -1.0  0.019707\n",
+       "3             58.155210  40.677124  75.709291    -0.561646 -1.0  0.098105\n",
+       "4             40.510698  16.895876  67.734091    -0.583361 -1.0  0.729975"
       ]
      },
      "execution_count": 10,
@@ -992,7 +992,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "New, raw observations:  [0.0, 0.0, 0, 0.39157578, 1.0, -1.0, 0.0, 1.0, 1, 0.08438771, 1.0, -0.14720577, 0.0, 0.0, 0, 1.0, 0.021902867, -1.0]\n",
+      "New, raw observations:  [0.0, 0.0, 0, 0.39157578, 1.0, -1.0, 0.0, 1.0, 1, 0.08438771, 1.0, -0.14720577, 1.0, 0.0, 1, 1.0, 0.021902867, 0.65321183]\n",
       "\n",
       "Observations for user 1:\n",
       "Current connections to the 2 cells: [0.0, 0.0]\n",
@@ -1007,10 +1007,10 @@
       "Current utility: -0.14720577001571655\n",
       "\n",
       "Observations for user 3:\n",
-      "Current connections to the 2 cells: [0.0, 0.0]\n",
-      "NEW: Any connection?: 0\n",
+      "Current connections to the 2 cells: [1.0, 0.0]\n",
+      "NEW: Any connection?: 1\n",
       "SNR to the 2 cells: [1.0, 0.021902867]\n",
-      "Current utility: -1.0\n"
+      "Current utility: 0.6532118320465088\n"
      ]
     }
    ],
@@ -1069,77 +1069,65 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
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-      "Requirement already satisfied: importlib-metadata>=4.4 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from markdown>=2.6.8->tensorboard) (6.1.0)\n",
+      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (1.26.15)\n",
       "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (3.1.0)\n",
       "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (3.4)\n",
-      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (1.26.15)\n",
       "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (2022.12.7)\n",
+      "Requirement already satisfied: sympy in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from torch>=1.11->stable-baselines3==2.0.0) (1.11.1)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from torch>=1.11->stable-baselines3==2.0.0) (3.1.2)\n",
+      "Requirement already satisfied: networkx in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from torch>=1.11->stable-baselines3==2.0.0) (3.1)\n",
+      "Requirement already satisfied: filelock in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from torch>=1.11->stable-baselines3==2.0.0) (3.12.0)\n",
       "Requirement already satisfied: MarkupSafe>=2.1.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from werkzeug>=1.0.1->tensorboard) (2.1.2)\n",
-      "Requirement already satisfied: zipp>=0.5 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard) (3.15.0)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->stable-baselines3==2.0.0) (2.8.2)\n",
+      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\kiwisolver-1.4.4-py3.8-win-amd64.egg (from matplotlib->stable-baselines3==2.0.0) (1.4.4)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->stable-baselines3==2.0.0) (1.0.7)\n",
+      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\pyparsing-3.1.0a1-py3.8.egg (from matplotlib->stable-baselines3==2.0.0) (3.1.0a1)\n",
+      "Requirement already satisfied: importlib-resources>=3.2.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->stable-baselines3==2.0.0) (5.12.0)\n",
+      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\pillow-9.4.0-py3.8-win-amd64.egg (from matplotlib->stable-baselines3==2.0.0) (9.4.0)\n",
+      "Requirement already satisfied: cycler>=0.10 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\cycler-0.11.0-py3.8.egg (from matplotlib->stable-baselines3==2.0.0) (0.11.0)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\fonttools-4.39.2-py3.8.egg (from matplotlib->stable-baselines3==2.0.0) (4.39.2)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->stable-baselines3==2.0.0) (23.0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from pandas->stable-baselines3==2.0.0) (2022.7.1)\n",
+      "Requirement already satisfied: tzdata>=2022.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from pandas->stable-baselines3==2.0.0) (2023.3)\n",
+      "Requirement already satisfied: zipp>=0.5 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from importlib-metadata>=4.8.0->gymnasium==0.28.1->stable-baselines3==2.0.0) (3.15.0)\n",
       "Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard) (0.5.0)\n",
-      "Requirement already satisfied: oauthlib>=3.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard) (3.2.2)\n"
+      "Requirement already satisfied: oauthlib>=3.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard) (3.2.2)\n",
+      "Requirement already satisfied: mpmath>=0.19 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from sympy->torch>=1.11->stable-baselines3==2.0.0) (1.3.0)\n"
      ]
     }
    ],
    "source": [
-    "# first, install stable baselines\n",
-    "# currently, gymnasium support is only in an alpha release of stable baselines\n",
-    "!pip install \"sb3_contrib>=2.0.0a1\" --upgrade\n",
-    "# TODO: update to v2.0.0 once released\n",
-    "# !pip install stable-baselines3>=2.0.0\n",
-    "\n",
-    "# also needs tensorboard\n",
-    "!pip install tensorboard"
+    "# first, install stable baselines; only SB3 v2.0.0+ supports Gymnasium\n",
+    "!pip install stable-baselines3==2.0.0 tensorboard"
    ]
   },
   {
@@ -1174,40 +1162,313 @@
       "---------------------------------\n",
       "| rollout/           |          |\n",
       "|    ep_len_mean     | 10       |\n",
-      "|    ep_rew_mean     | -5.55    |\n",
+      "|    ep_rew_mean     | -5.51    |\n",
       "| time/              |          |\n",
-      "|    fps             | 266      |\n",
+      "|    fps             | 204      |\n",
       "|    iterations      | 1        |\n",
-      "|    time_elapsed    | 7        |\n",
+      "|    time_elapsed    | 10       |\n",
       "|    total_timesteps | 2048     |\n",
       "---------------------------------\n",
       "-----------------------------------------\n",
       "| rollout/                |             |\n",
       "|    ep_len_mean          | 10          |\n",
-      "|    ep_rew_mean          | -5.76       |\n",
+      "|    ep_rew_mean          | -5.83       |\n",
       "| time/                   |             |\n",
-      "|    fps                  | 199         |\n",
+      "|    fps                  | 214         |\n",
       "|    iterations           | 2           |\n",
-      "|    time_elapsed         | 20          |\n",
+      "|    time_elapsed         | 19          |\n",
       "|    total_timesteps      | 4096        |\n",
       "| train/                  |             |\n",
-      "|    approx_kl            | 0.012489059 |\n",
-      "|    clip_fraction        | 0.145       |\n",
+      "|    approx_kl            | 0.010369745 |\n",
+      "|    clip_fraction        | 0.101       |\n",
       "|    clip_range           | 0.2         |\n",
       "|    entropy_loss         | -3.29       |\n",
-      "|    explained_variance   | -0.031      |\n",
+      "|    explained_variance   | -0.188      |\n",
       "|    learning_rate        | 0.0003      |\n",
-      "|    loss                 | 0.935       |\n",
+      "|    loss                 | 0.7         |\n",
       "|    n_updates            | 10          |\n",
-      "|    policy_gradient_loss | -0.0178     |\n",
-      "|    value_loss           | 2.52        |\n",
+      "|    policy_gradient_loss | -0.0131     |\n",
+      "|    value_loss           | 2.41        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -5.08       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 206         |\n",
+      "|    iterations           | 3           |\n",
+      "|    time_elapsed         | 29          |\n",
+      "|    total_timesteps      | 6144        |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.010770578 |\n",
+      "|    clip_fraction        | 0.0915      |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -3.27       |\n",
+      "|    explained_variance   | 0.254       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.38        |\n",
+      "|    n_updates            | 20          |\n",
+      "|    policy_gradient_loss | -0.0157     |\n",
+      "|    value_loss           | 3.24        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -5.38       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 201         |\n",
+      "|    iterations           | 4           |\n",
+      "|    time_elapsed         | 40          |\n",
+      "|    total_timesteps      | 8192        |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.011654593 |\n",
+      "|    clip_fraction        | 0.11        |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -3.25       |\n",
+      "|    explained_variance   | 0.325       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.1         |\n",
+      "|    n_updates            | 30          |\n",
+      "|    policy_gradient_loss | -0.0192     |\n",
+      "|    value_loss           | 3.33        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -5.09       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 196         |\n",
+      "|    iterations           | 5           |\n",
+      "|    time_elapsed         | 52          |\n",
+      "|    total_timesteps      | 10240       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.011995258 |\n",
+      "|    clip_fraction        | 0.112       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -3.21       |\n",
+      "|    explained_variance   | 0.41        |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.98        |\n",
+      "|    n_updates            | 40          |\n",
+      "|    policy_gradient_loss | -0.0184     |\n",
+      "|    value_loss           | 3.69        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -4.91       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 191         |\n",
+      "|    iterations           | 6           |\n",
+      "|    time_elapsed         | 64          |\n",
+      "|    total_timesteps      | 12288       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.013515313 |\n",
+      "|    clip_fraction        | 0.128       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -3.16       |\n",
+      "|    explained_variance   | 0.459       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.82        |\n",
+      "|    n_updates            | 50          |\n",
+      "|    policy_gradient_loss | -0.0201     |\n",
+      "|    value_loss           | 3.81        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -4.51       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 193         |\n",
+      "|    iterations           | 7           |\n",
+      "|    time_elapsed         | 74          |\n",
+      "|    total_timesteps      | 14336       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.011076832 |\n",
+      "|    clip_fraction        | 0.119       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -3.11       |\n",
+      "|    explained_variance   | 0.501       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.3         |\n",
+      "|    n_updates            | 60          |\n",
+      "|    policy_gradient_loss | -0.0179     |\n",
+      "|    value_loss           | 3.55        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -4.32       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 184         |\n",
+      "|    iterations           | 8           |\n",
+      "|    time_elapsed         | 88          |\n",
+      "|    total_timesteps      | 16384       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.012778498 |\n",
+      "|    clip_fraction        | 0.125       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -3.04       |\n",
+      "|    explained_variance   | 0.501       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.15        |\n",
+      "|    n_updates            | 70          |\n",
+      "|    policy_gradient_loss | -0.0177     |\n",
+      "|    value_loss           | 3.49        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -4.27       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 189         |\n",
+      "|    iterations           | 9           |\n",
+      "|    time_elapsed         | 97          |\n",
+      "|    total_timesteps      | 18432       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.010462103 |\n",
+      "|    clip_fraction        | 0.109       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -2.98       |\n",
+      "|    explained_variance   | 0.594       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.9         |\n",
+      "|    n_updates            | 80          |\n",
+      "|    policy_gradient_loss | -0.0142     |\n",
+      "|    value_loss           | 3.3         |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -4.24       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 191         |\n",
+      "|    iterations           | 10          |\n",
+      "|    time_elapsed         | 107         |\n",
+      "|    total_timesteps      | 20480       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.013994195 |\n",
+      "|    clip_fraction        | 0.179       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -2.94       |\n",
+      "|    explained_variance   | 0.623       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.37        |\n",
+      "|    n_updates            | 90          |\n",
+      "|    policy_gradient_loss | -0.0226     |\n",
+      "|    value_loss           | 2.95        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -4.13       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 192         |\n",
+      "|    iterations           | 11          |\n",
+      "|    time_elapsed         | 116         |\n",
+      "|    total_timesteps      | 22528       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.010907989 |\n",
+      "|    clip_fraction        | 0.137       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -2.87       |\n",
+      "|    explained_variance   | 0.678       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.58        |\n",
+      "|    n_updates            | 100         |\n",
+      "|    policy_gradient_loss | -0.0176     |\n",
+      "|    value_loss           | 3.41        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -4.12       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 194         |\n",
+      "|    iterations           | 12          |\n",
+      "|    time_elapsed         | 126         |\n",
+      "|    total_timesteps      | 24576       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.012438992 |\n",
+      "|    clip_fraction        | 0.129       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -2.79       |\n",
+      "|    explained_variance   | 0.732       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.37        |\n",
+      "|    n_updates            | 110         |\n",
+      "|    policy_gradient_loss | -0.0173     |\n",
+      "|    value_loss           | 3.11        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -3.44       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 195         |\n",
+      "|    iterations           | 13          |\n",
+      "|    time_elapsed         | 135         |\n",
+      "|    total_timesteps      | 26624       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.010979122 |\n",
+      "|    clip_fraction        | 0.112       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -2.73       |\n",
+      "|    explained_variance   | 0.761       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 2.01        |\n",
+      "|    n_updates            | 120         |\n",
+      "|    policy_gradient_loss | -0.0151     |\n",
+      "|    value_loss           | 3.23        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -3.97       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 195         |\n",
+      "|    iterations           | 14          |\n",
+      "|    time_elapsed         | 146         |\n",
+      "|    total_timesteps      | 28672       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.010477952 |\n",
+      "|    clip_fraction        | 0.107       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -2.68       |\n",
+      "|    explained_variance   | 0.794       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.15        |\n",
+      "|    n_updates            | 130         |\n",
+      "|    policy_gradient_loss | -0.0109     |\n",
+      "|    value_loss           | 3.41        |\n",
+      "-----------------------------------------\n",
+      "-----------------------------------------\n",
+      "| rollout/                |             |\n",
+      "|    ep_len_mean          | 10          |\n",
+      "|    ep_rew_mean          | -3.71       |\n",
+      "| time/                   |             |\n",
+      "|    fps                  | 194         |\n",
+      "|    iterations           | 15          |\n",
+      "|    time_elapsed         | 157         |\n",
+      "|    total_timesteps      | 30720       |\n",
+      "| train/                  |             |\n",
+      "|    approx_kl            | 0.010441923 |\n",
+      "|    clip_fraction        | 0.122       |\n",
+      "|    clip_range           | 0.2         |\n",
+      "|    entropy_loss         | -2.62       |\n",
+      "|    explained_variance   | 0.811       |\n",
+      "|    learning_rate        | 0.0003      |\n",
+      "|    loss                 | 1.79        |\n",
+      "|    n_updates            | 140         |\n",
+      "|    policy_gradient_loss | -0.014      |\n",
+      "|    value_loss           | 3.41        |\n",
       "-----------------------------------------\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<stable_baselines3.ppo.ppo.PPO at 0x1eaf26af220>"
+       "<stable_baselines3.ppo.ppo.PPO at 0x1b2bce6bfa0>"
       ]
      },
      "execution_count": 16,
@@ -1253,82 +1514,11 @@
      "name": "#%%\n"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: tensorboard in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (2.12.2)\n",
-      "Requirement already satisfied: google-auth-oauthlib<1.1,>=0.5 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (1.0.0)\n",
-      "Requirement already satisfied: wheel>=0.26 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (0.40.0)\n",
-      "Requirement already satisfied: google-auth<3,>=1.6.3 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (2.17.3)\n",
-      "Requirement already satisfied: numpy>=1.12.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (1.24.3)\n",
-      "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (0.7.0)\n",
-      "Requirement already satisfied: absl-py>=0.4 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (1.4.0)\n",
-      "Requirement already satisfied: protobuf>=3.19.6 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (3.20.3)\n",
-      "Requirement already satisfied: markdown>=2.6.8 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (3.4.3)\n",
-      "Requirement already satisfied: requests<3,>=2.21.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (2.29.0)\n",
-      "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (1.8.1)\n",
-      "Requirement already satisfied: werkzeug>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (2.3.1)\n",
-      "Requirement already satisfied: grpcio>=1.48.2 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (1.51.3)\n",
-      "Requirement already satisfied: setuptools>=41.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from tensorboard) (67.6.0)\n",
-      "Requirement already satisfied: six>=1.9.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard) (1.16.0)\n",
-      "Requirement already satisfied: rsa<5,>=3.1.4 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard) (4.9)\n",
-      "Requirement already satisfied: pyasn1-modules>=0.2.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard) (0.3.0)\n",
-      "Requirement already satisfied: cachetools<6.0,>=2.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard) (5.3.0)\n",
-      "Requirement already satisfied: requests-oauthlib>=0.7.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from google-auth-oauthlib<1.1,>=0.5->tensorboard) (1.3.1)\n",
-      "Requirement already satisfied: importlib-metadata>=4.4 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from markdown>=2.6.8->tensorboard) (6.1.0)\n",
-      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (3.1.0)\n",
-      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (3.4)\n",
-      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (1.26.15)\n",
-      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard) (2022.12.7)\n",
-      "Requirement already satisfied: MarkupSafe>=2.1.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from werkzeug>=1.0.1->tensorboard) (2.1.2)\n",
-      "Requirement already satisfied: zipp>=0.5 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard) (3.15.0)\n",
-      "Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard) (0.5.0)\n",
-      "Requirement already satisfied: oauthlib>=3.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard) (3.2.2)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# install and load tensorboard\n",
-    "!pip install tensorboard\n",
-    "%load_ext tensorboard"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    },
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "\n",
-       "      <iframe id=\"tensorboard-frame-2651eab2c43d7afa\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
-       "      </iframe>\n",
-       "      <script>\n",
-       "        (function() {\n",
-       "          const frame = document.getElementById(\"tensorboard-frame-2651eab2c43d7afa\");\n",
-       "          const url = new URL(\"/\", window.location);\n",
-       "          const port = 6006;\n",
-       "          if (port) {\n",
-       "            url.port = port;\n",
-       "          }\n",
-       "          frame.src = url;\n",
-       "        })();\n",
-       "      </script>\n",
-       "    "
-      ],
       "text/plain": [
-       "<IPython.core.display.HTML object>"
+       "Launching TensorBoard..."
       ]
      },
      "metadata": {},
@@ -1337,6 +1527,7 @@
    ],
    "source": [
     "# show training progress\n",
+    "%load_ext tensorboard\n",
     "%tensorboard --logdir results_sb"
    ]
   },
@@ -1358,7 +1549,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false,
     "jupyter": {
@@ -1371,7 +1562,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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QkBCPzy4rAxRJkiRJkuqdc7l+N5zOKEmSJEmSmgwZoEiSJEmSVO/IUTySJElNQNWkaSeu9yLhzslogNkOtUqr1WIymTySN1NFBiiSJElNxIIFC9xr0UiV/P39sdvtp6xt09TFxMTw0EMP/eMcNXVBBiiSJElNxODBg+nevbuni1GvyBaU0zMYDO41kDxFBiiSJElNgKIoBAcHV5smXpLqM5kkK0mSJElSvSMDFEmSJEmS6h3ZxSNJklQLnE4nxcXFWK1W9Ho9ZrMZLy+vWp/JU1VVrFYrJpOpTmYNVVXVvdKxRqMhICDAvd5OFSEEDoeDoqIinE4nfn5++Pr6YrPZKCkpwel04uPj414DSAhBaWkppaWleHl5ERAQ4PEp2s9X1eipwsJCdDodgYGB6HTVL71VdeNwONDr9QQEBKDT6XA6nZSUlGCz2dz1UDWqxuVyUVRUhM1mw2Qy4e/v32Dr6J/IAEWSJKmGORwOPvvsM3799VdMJhMul4ukpCQeeeSRMw7bFEKckrh5LoFGVlYW77//PlOnTq2TmbYLCwt5/PHHsVqt2O122rZty/33319t1VyHw8F7773Hhg0b0Gq19O3bl9tuu40vv/yS5cuXo9frUVWVhx56iA4dOpCXl8e0adMoKyvD6XTy+OOP06lTJ49P034+ysrKePnll0lNTcXhcHDjjTdyzTXXVPsc7N27lzfeeAObzUZpaSlXX301N998MykpKbz11lt4e3tTVlbGuHHjuOKKKxBCsHjxYubPn49GoyE+Pp777ruPgIAAzx1obRANUHFxsQBEcXGxp4siSZJ0iuXLl4vLL79cbN26VVgsFpGTkyP+/PNPceTIEZGdnS2EEKK0tFSkpqYKVVVFRkaGOHLkiNi+fbtITU0V+/fvF+np6eKvv/4SGRkZory8XOzYsUNs3LhRZGVlCVVVRVlZmdizZ484cuSI2LRpk8jMzBROp1P89ttvom/fvmLJkiXi6NGjQlXVWj1Wq9Uq9u/fLwoLC0V6erq44oorxMaNG937VVVVLF68WEyePFlkZ2eL4uJiUVRUJFRVFUePHhVZWVmiuLhYvPPOO2LKlCnCZrOJd955Rzz22GOioKBAzJs3T0yYMEHYbLZaPY7aoKqqWLNmjRg9erTIzMwUW7ZsEVdffbX7M1ClvLxc5ObmipKSErFq1Spx1VVXidLSUpGXlyeOHDkiSkpKxLJly8TVV18tSktLxZEjR8To0aPF7t27RUlJiSgoKBBOp9NDR3luzuX6LVtQJEmSapAQgp9++omBAwfSsWNHFEXB19eXoKAgnn76aZo3b85tt93Gvn37eOaZZ/j222/57LPPWLp0Kd26daN9+/YsX74cm81GQkICQ4YMYdOmTWzbtg1/f3/Kysp46aWXyMnJ4bbbbqNnz564XC5yc3N588032b17N9nZ2SxduhRFUYiJianVlgcvLy9atGgBgE6nQ6/X43K53M87nU7++OMPgoKCeOONN/D19eXGG2/EbDYTGxvrrjN/f38cDgeqqrJlyxaGDx9OYGAggwYN4rPPPiM3N5fo6OhaO47asmXLFrp06UJ4eDje3t5oNBoKCgoICwtzv8ZkMqHX67FYLGRkZBAaGoper8fHx4fg4GCEEAQFBaGqKkIItmzZgk6nY8GCBVgsFkaOHEmXLl08eJS1o3F1WEmSJHmYw+EgLy+PZs2anVNg0KpVK2bMmMGIESNQFIW+ffvyzDPPYDabWb9+Pa+++iqvvPIKzZs3Z+HChUDlxX/q1Kk8++yzKIrCkSNHGDp0KK1bt+aRRx5h0KBBddYt4nK5WLx4MWazmZYtW7r363K5yMrKYsWKFfTt2xchBE8//bQ7iBFCcPToUb799ltGjBgBVHaLVHVX+Pr64nK5GsxEakIIhBDuYKKgoAB/f38URUGn02EymbBYLKe8b9++fdx77728//77DBgwAL1e736urKyMOXPmMGzYMEwmE8eOHWPt2rXExsbSqVMnpk+fTlpaWl0eZp2QLSiSJEk1SKvV4u3tTVFRUbV8kpNVXciqtG3bFm9vb6xWKwAdOnTAYDCQlZXFvn37mDJlCgDHjx9353dEREQQHByMXq8nKCiIoqIigoODURQFrVZbZ0mTQghWrlzJ119/zaxZswgMDHQ/pygKJpOJIUOGcNlll9G+fXvuuusudytCQUEBs2bNYujQofTp0weonCSsKiCx2+0oilLtgl3f/fLLL8ydO5egoCC8vLzcuUCqqmK32zGZTKe8p1WrVrz11lscOHCAmTNncvHFFxMbG0t5eTlvvvkm3t7ejB071v356tq1K1dffTV6vZ6FCxeSlpZGbGxsg8zT+ScyQJEkSapBGo2G/v37s2jRIkaPHo2/vz8AOTk51QKX/Pz8anfSJ47sqLrbBggODqZVq1Y8/fTTeHl5IYTAz8+PY8eOnZJwq6oqGo3GHfyI80iyPVdVXQ6vv/4606ZNo1WrVu7HhRDo9XratGlDXl6ee0SLqqpotVqKioqYOXMmLVq04Oabb3YfT2JiIrt372bAgAHs2rWLoKAgj89qei769etHx44d0Wq1bNq0iZ9//tmdAFteXk5AQIC7fqr+Nlqt1t36VDUCzOFw8Omnn7J3715efvllfH19EULQvn17fvrpJ1wuF1qtFrvd3uhG8IAMUCRJkmqUoihcffXVbN68mYcffpiOHTuSn59PRUUFQ4YM4bXXXkNRFLZv314tV+OfdOnShTZt2vDmm2/SokULysrKuPjii6uNkjlRUFAQTqeTjz76iIEDB9K1a9daDVDy8vKYPHkyLVq0YPv27ezcuZOhQ4eyevVq9uzZw7PPPsvVV1/N448/zqxZszh69Ch9+vQhICCAV155hd9//51bbrmFL774gvj4eC6++GJGjRrF448/TmlpKdu3b2f06NF4e3vX2jHUJEVR8PPzw8/PDyEEvXr14ocffuCFF14gJyeHAQMGEBYWxq5du3jppZd46aWX2LRpExs3biQwMJA9e/bQpk0bWrVqxfLly3nllVe4+eab+e677/D19WXkyJG0adOGmJgYZs+ejUajwd/fn9atWzeq1hMARZzYxthAlJSU4O/vT3FxcZ0Mo5MkSTpXpaWlbNmyhePHj2M2m+ncuTOhoaFs2LCBrKwsEhMTKSoqol+/fuzZswedTkerVq1wuVxs2LCBFi1auBMpLRYLKSkpFBQUEBISQteuXQHYtm0bF110ERqNhs2bNxMTE0NERAQ7duwgNTWV1q1b07Fjx1q9uy4rK2Px4sXY7Xb3YwMGDKCsrIzCwkJ69eqFEIJDhw6xdetW/P396dWrF76+vqxfv55Dhw653xcbG0tycjIajYbU1FR2795NZGQkvXr1OmXukIZCCEFmZiYbNmzAx8eHiy66CF9fXwoKCti6dSvJycmUlJSwefNmSktLCQsLo1u3bvj6+nLw4EFSUlLc2/L29mbYsGEYDAby8vJYt24dqqrSu3dvwsPDPXiUZ+9crt8yQJEkSZIkqU6cy/W78XVaSZIkSZLU4MkARZIkSZKkekcGKJIkSZIk1TsyQGkinE4nR48eJT8/nwtNO1JVlePHj5OZmYmqqjVUQs9wuVykp6eTm5t7wfUihCA7O5uMjIyzGp0hSZIk/bOGmRYtnbMjR47w9ddfExERwZgxY/Dx8TnvbRUXFzNv3jxcLhfjx48nNDS0BktatzIzM/n8888JCgpi7Nix/zh082yUlJQwf/5896JeUVFRNVhSqb6yWq2UlJRccIBbF6pWCpb+5+SFGaVKOp0Of39/j46ekgFKPVY166DBYLjgYYLe3t4EBgaedqnvc1U1a6XT6cTLy+uCtnU+qiZ70uv1Z1wZ9kyMRiNBQUEEBgZe8EyVBoOBoKAgDAYDRqPxgrYlNRxbtmzh1VdfxeFweLooZxQREUFWVpani1Gv+Pv7Y7fbG8xU+nUlJiaGxx57zKM3WnKYcT0lhODw4cOkpKSQlJREhw4dLihIEUJgsVjw8vK64KBCCEFFRQVCCLy9vet0ciAhBBkZGaxZs4aWLVvSuXPnCwpShBCUlpai1+svOKgQQmC1WnG5XPj4+DS6SZOk07PZbJSUlHi6GJJUo6pmtq3pFpRzuX7LFpR6SghBWloa+/btw8vLi7Zt22IwGM57e4qi1FgwpyiKR2d1zMjIYO/evQC0a9fuggKUqlkfa0LVmiNS0+Ll5dWguzklqb6SAUo9pSgKHTt2xGg0Ehsb26AWyjoXVWuSFBUVERsbe1ZBWNu2bd3LyHuii6m2VXVhpaenExwcTGBgoGyNkSSpyTnnPoNVq1Zx1VVXERUVhaIoLFiwoNrzQgieeuopIiMjMZlMDBo0iP3791d7TUFBAWPHjsVsNhMQEMBtt91GaWnpBR1IY6MoCoGBgfTq1YvIyMhGe4GqqKhg0aJFfPXVVxw4cOCMr1cUxT1VdnR0dKOtl927dzNv3jx+/fVXbDabp4sjSZJU5845QCkrK6NTp068/fbbp33+hRde4I033uC9994jJSUFHx8fhg4d6l5CHGDs2LHs2rWLZcuW8fPPP7Nq1SruvPPO8z+KRkpRFPdPY6XT6QgLCyMsLOysu1qaQr34+/sTGhpKaGjoBScCS3UvJyeHgwcPun8vLy9n+/btOBwOdu7c+Y8JmWVlZRQUFDTYESWqqpKens6GDRtISUlxr2AshKC8vJytW7eydu1ajhw5csoxVr133bp1/PXXX5SVlXnoKGpWVStxSkoKW7durXYtrFJeXs62bdv4888/2bZtG+Xl5e7nCgsL3e+telwIwfHjx1m3bh3btm1rtDcxF5QkqygKP/zwA9deey1QWWlRUVFMnTqVBx98EKgckhoeHs4nn3zCmDFj2LNnD0lJSWzcuJHu3bsDsGTJEq644goyMjLOKmO4vifJnriMdmO+iJ6Lk5d+P7Fe7HY7NpsNHx+fRrlk+PlQVZXS0lJMJlOj7d5rzL788ku2bNnCyy+/DMDevXuZPHky3333HQsXLuSyyy4jKCjolPctXbqUbdu28eCDD57VuePE71R9UF5eziOPPILBYMDpdFJeXs706dMJCwvjpZdeIj09nYCAAGJjY7nrrruqfd8PHjzIww8/TEJCAtnZ2bRv35777ruvQXfjCiEoKiriqaeeAiqvh3379uXWW2+t9r3etWsXn3zyCXq9nqNHj9K5c2cefPBBSkpKeOaZZ6ioqKC8vJxu3boxYcIE8vLyeOCBBwgJCSEvL4/Bgwczfvz4BnEz47Ek2cOHD5OVlcWgQYPcj1U1x69bt44xY8awbt06AgIC3MEJwKBBg9BoNKSkpHDdddedsl2bzVYtQqzPGfNCCHJzc9m+fTsJCQnExcXJiy6VE6Jt3rwZh8NBz549q+WaGAyGC0oAbow0Gk29DL6lC6MoCsHBweh0OsrKyli/fj3Hjx8nIiKC7t2789tvv7F161ZCQkK4+OKLadasGevWrSM9PZ2EhAR69OiBqqqsWrWK8PBwUlNTCQsLQ6/Xk5ycjKIoHDhwgKKiIrp161bngYvRaGTmzJl4e3ujqir33HMPmzZtwsvLi6ysLF5++WX0er37Bu5E69atIyEhgZkzZ5KTk8Ptt9/OuHHjiIyMrNNjqGlVqxS/8cYb5OXlMWnSJK688spqN+Nt2rTh2WefRavVsnv3bh577DEmTJjApk2byMvL47333uPYsWPcf//9jB49miVLlhATE8MzzzxDdnY2d911F4MGDSI2NtaDR1rzavTKWTW+/uRln8PDw93PZWVluZcQr6LT6QgKCvrH8fnPP/88/v7+7p9mzZrVZLFrXGpqKmvWrGHLli04nU5PF6deKC4uZs2aNfz555/k5eV5ujiSVOsKCgrYvXs3u3fv5uDBg+65Nt58802ys7P54Ycf+Pzzz6moqGDfvn0UFRW5Wxerbmq++eYb3nzzTbKysnjhhRdYtGgRVquVV155hdmzZ1NYWEhhYSGvvvoqFosFp9PJBx98cEreX13RaDQEBAS4bzhsNhteXl5s3LgRu93O1KlTmTx5Mlu2bDnlvW3atCE9PZ2UlBQWL15M+/btG0WQvmPHDtq3b4+Pjw/BwcEYjUaKioqqvUar1eJ0OklNTWX58uW0bt0aLy8vDhw44P53VFQUAQEBHDlyhLy8PMLDwzEajQQGBpKXl0d+fr5nDrAWNYhRPNOmTWPKlCnu30tKSup1kJKYmEhRUREtW7b06Cx89YnZbKZLly44HI7TNm1LUmOzY8cO3nnnHQCKioooLCys9nx6ejqRkZFcdtllREZGotVq6datGzabjZtvvhmLxcIPP/zAlClTSE5Opl27dnz55ZdcdNFFuFwuxo0bx9ChQ1FVlZUrV/L777/ToUMH9u7dy0MPPeTRbh+Xy8X333+PTqeja9eu/Prrr2zbto0333yT/fv38/zzz/Pll1/i6+vrfk9ERAQ6nY4PP/yQ/Px8RowY0SBbVoUQqKqKy+VCURRKSkqIiIhAURS0Wi1Go/G0+TXHjh3jv//9L3v37uWaa65Bo9FQUlKCn58fiqKg1+sxmUyUlJTQoUMH3nvvPUaOHMmOHTs4cOAAdrvdA0dbu2r06hkREQFAdnZ2tWa57OxsOnfu7H5NTk5Otfc5nU4KCgrc7z9ZTUwuVlcURSEqKoqwsDC0Wq3s3vmbTqejf//+CCFqpZ9UVVUqKiowGo0Noh+2rqiqitVqxWAwyGC5jvXt25f//Oc/AOzfv58HHnjA/ZxGo2HcuHF88sknTJkyhbCwMB577LFq7y8vL6eiooLY2FgURSE2NpaysjKsVit6vd79uFar5ZprruGbb74hLy+PpKQkAgIC6vJQq1FVlV9//ZVvv/2WF198keDgYMxmM/3796d79+60atWKb775hvT0dNq2bet+39y5c+ncuTMTJkwgNzeXiRMnMnDgQOLj4z12LOdr8eLFfPHFFwQFBREQEIDFYkEIgcvloqKi4rRLjbRo0YIXX3yR7OxsJk2axKBBg/D393evE1bVAufv709SUhI7duzg0UcfJSgoiB49ejTKOZhq9OoZHx9PREQEy5cvdz9WUlJCSkoKycnJACQnJ1NUVMTmzZvdr1mxYgWqqtKrV6+aLI7HVEW7Mjj5n6oTqU6nq/E7OyEEBw8eZP78+WzevFku1Pe3qsn+5s+fT0pKiqyXOqbVat03V3q9vtrnXghBcHAwU6dO5c0336SwsJCNGzei1WpxOBw4HA58fX0JDAxk27ZtWK1Wtm3bRnBwsHuSxBO317FjR/Ly8vjmm28YPHiwx4J0IQRr167l/fff5+GHH6ZZs2ZoNBrat29PUVERFRUV5OTkYLfb8fPzw+FwUFxc7B7lo9Fo0Gq16PV6nE5ng12MdPDgwbz77rs8//zzXHrppezYsYOSkhL3sQcGBuJ0OikuLnbfRNhsNvd50uVyoaoqLVu2ZO/evZSXl5ORkUFxcTFxcXGYTCYmTpzIO++8w913301UVFSDz9U5nXO+pSotLa02X8Xhw4fZunUrQUFBxMbGcv/99/Pss8/SsmVL4uPjefLJJ4mKinKP9Gnbti2XXXYZd9xxB++99x4Oh4NJkyYxZswYubiadN6ysrI4evQofn5+Fzz9fWOSk5PDkSNHMBgMdOvWTdZLPaGqKp999hnbtm1zr7XVtm1brFYrn376KU888QRjx47l//7v/3jttdf46aefOH78OI899thpR3UFBgbSo0cPVq5cSffu3T3WvVNWVsaUKVMwm8189913fPfdd4wcOZIhQ4awevVqJk6cSFlZGQMHDiQqKoq1a9cye/Zs5s+fz3XXXcdTTz3F4cOHycvLY+DAgURHR3vkOC6EoigYjUb30hndu3fnl19+4eGHH8ZisTBy5EhCQ0PZsWMH06dP58MPP3Tn3ZhMJrKzsxkwYAAtW7YkOjqaX3/9lfvuuw+r1cqwYcMIDAykoKCAWbNmoaoq+fn53HXXXYSEhHj4yGveOQ8zXrlyJZdccskpj48fP55PPvkEIQTTp0/nv//9L0VFRfTt25d33nmHVq1auV9bUFDApEmTWLhwIRqNhhEjRvDGG29U64/8N/V9mLFUt6rWGTp8+DBRUVGEhITUm2GXniSEoKysjIMHDxIREUFYWJislzqSn59PeXm5O1fOarWSlpZGfHw8R48eJSYmhrKyMo4fP47T6SQ8PJyIiAhcLhdpaWkUFRURFxeHv78/aWlpFBcXExgYSLNmzdzrdEVHR2MymdzrST333HMkJCRwxx13eOy4XS4Xu3btqpYPERcXR3BwMEVFRaSnp6PX64mLi8NoNFJaWsrx48dp0aIFQgiysrLIy8vDYDDQvHlzjy6pUVOEEJSUlHD06FEMBgPx8fF4eXlRVlZGZmYmcXFxWK1W0tPTsdls+Pn50axZM3daQ0lJifsmo6reHA4HBw8exGq1EhwcTHR0dINpsT+X67dcLFBqFE78GMuLcHX1ba4MqWYVFxcze/ZsDh06xGuvvdYom/qlxkMuFig1OfLi+89k3TRuvr6+PPTQQ+h0uhpb+FKS6gMZoJzE6XSSkZGByWSSTeInqcpC12q1sl4kqZ7QarVy6L7UKDWMTqs6lJmZydy5c/n+++/lAoYnEEKQnp7OL7/8wsGDBxvsWiGSJElSwyBbUE7i7e1NcHAwQUFBcg2UEwgh2LdvH1u2bEFVVZo3by7rR5IkSao1MkA5SXBwMGPHjkWn07mHiUmVeQxJSUmoqkqrVq3kpF+S9DeLxUJmZmaDaFWsmmND+h+NRlNtMVOpksFgICYmxqOz+cqrzEkURTnr4c5NiaIoREZGEh4ejkajkTkokvS33bt389ZbbzWIqcbDw8PJzs72dDHqFbPZjMPhoKKiwtNFqVeio6N56KGHPDoqTA4zlpq8qnUzamOW24ZMCIHT6ZRLNpyBw+HAarV6uhiSVKM0Gg0mk6nGv/tymLEknSUhBIcOHWLHjh106tSJ+Ph4GaRQWS9Hjx7lr7/+ol27drRo0UIGKf9Ar9fLfCxJqgUyQJGaNJfLxd69e9m+fTsmk4nmzZvL6eCpDFAOHDjA9u3b0Wg0xMfHywBFkqQ6JQMUqUnTarV07twZk8lEmzZt5EX4b4qi0L59ezQaDS1btpRJ0ZIk1Tl51mlChBAUFBTgcrkIDQ2VXRlUXoijoqIwmUzY7XaEELJeqKyX8PBw92SFsk4kSapr8naxCcnPz+fGG2/kuuuuIyMj46zeI4TAarVSXl7eaIfhFRUVcdttt3HllVdy8ODBs36fzWajrKys0daLoihyxJYkSR4jA5QGTAiBqqpnfYG0WCzs27ePvXv3UlxcfFbvKS8v58knn+S+++4jPz//QopbZ861XsrLy9m7dy/79u2joKDgrN5TUVHBrFmzuOeee8jKyrqQ4kqSJEmnIbt4GighBEeOHGH+/PlcdNFFJCcnnzG5MzY2lu+++869DLyqqmfMucjKyuLrr7+msLCQO+64g5CQkJo8jBonhODYsWN89dVXdO3alQEDBpyxXiIjI5k3bx4lJSV06dLlrPaTm5vLN998w5EjR7j11lvlCrKSJEk1rMkEKC6Xy91k3VgsWLCARx99lGuuuYZPPvkEf3//f329VqulY8eO/Pnnn3z//fcMGjSImJiYf23Cb9asGTNnzsRisZCUlHRW5VJVlV27dlFWVka3bt3qfAjmr7/+yiOPPMKll15Kly5dzriQmkajoWPHjue0j8jISGbMmMHx48fPOqhRVZW9e/dSUFBA9+7d8fLyOqd9SpIkNSVNJkDZvn07Op2Odu3aNZogJTk5mREjRnD55Zfj7e19Vu9xOBykp6eTnp5Ofn4+MTEx//p6vV7PuHHjAM46F+HYsWOMGjWK7OxsfvvtN7p163ZW76sp3bt3Z8SIEQwYMKDWZgXW6/WMHj36nJJqs7OzGTt2LHv37mXJkiX069evVsomSZLUGDSZACUjI4PCwkISExPP+mJe1+x2O1arFV9f3zMGUYqi0LNnTz766CNMJtNZDwM1Go0MHjyYvLw8EhISzvj68xnB4ePjQ2JiIr6+vgQEBJzTe0+nahrqs62XDh068NFHH2E0Gmu19eZc68ZkMpGYmIjT6SQwMLDWyiVJktQYNJmp7rdt24ZOp6Nt27b1sgXFZrPx+uuvs27dOp599lnatWvn6SKdNyEEhYWF2O12wsPDL2gUiN1u5/3332f58uU8+eSTdO3atUGPKikqKqK8vJyIiIh6+TmUJEmqTedy/W4yZ8j27duTlJRUby8KJSUl/Pzzz/z4449s377d08W5IIqiEBQURERExAUHE2VlZSxatIiffvqJzZs311AJPScgIICoqKh6+zmUJEmqL5pMF099n748KCiI6dOns3v3bi699FJPF6dOWa1W1qxZQ3BwMB07dqx28TabzTz++ONcfvnlDBs2zIOl/B8hBGVlZRw/fpyIiAh8fX1rpVXHbrezbt06vL296dq1a73/DAshKC8vJzMzk/DwcPz8/Bp0a1d9s379en744QfKy8vp2bMnI0aMwGg0smHDBubNm4dWq+WOO+6gTZs2ni6qJNWIJtPF0xCc+KdoSif2P//8kyFDhpCYmMiSJUuIjo6u9nx9qxeXy8Xy5ctJSUmhZ8+eDBo0qFaChy1btjBw4ECCg4NZsWIFzZs3r/F91CRVVVm9ejWrVq2ic+fOXHbZZXIRvRq0ceNGDAYDvr6+TJ8+nbvuuovOnTvzf//3f0yYMIGysjK+//573n77bXeeXQM8vUv1UE2ed+Vqxg1Ufbj4ekJoaCgdOnQgISHhtKNu6lu9KIpCcHAwoaGhBAcH11r5goOD6dChA8HBwfj5+dXKPmpSVddeVb3Ibqya1aNHD6CyxTEwMBAhBAcPHsTPz4++ffuiKApfffUVaWlp1VpRdu/eTUZGBkIIbDYbRqPRU4cgNSAul4sOHTqccaRnbZIBSi06cUZTrVZb7y60nuRyudz10rJlS3766SeMRuMZ53KpDzQaDZ07d6Zly5b4+PjU2oU4NjaW77//Hp1OVyOjoWqboigkJSXRvHlzvL29632XVEPkcrlYtGgRiqLQqVMntm/f7h6tJoTAy8uLioqKau/Jy8vj8OHDOJ1OPv/8c8aNGycXf5TOaMOGDVgsFq6//nqPlUF+SmuR3W7no48+Ij8/n8mTJzeIi29dsNvtfPHFFxw9epTJkycTEhJCeHi4p4t1TrRaba13LyqKQmhoaK3uo6bVRb00Vaqq8s0335CSksJTTz2F2WwmLCyMkpISysvLURSF8vLyU4LZ/v37079/f2w2GykpKdxxxx0YDAbPHITUIAgh8PPz8/hNhgxQatGxY8d44YUXyMnJYeDAgVx00UWeLlK9kJ2dzcsvv8z+/fvp27cvgwcP9nSRJKneW7RoEZ988gl33XUXhw4dQlVVYmNj8fHx4csvv6S0tJS4uLhqTfInttpWzdsjV6eWGgoZoNSiqKgobr/9dnJzc2ndurWni1NvhIWF8X//938cOnSIDh06eLo4ktQgGI1GLr74YlJTU9m7dy+XX345nTp14oknnmDx4sWYzWbGjx8vE5OlRkMGKLXIy8uLhx9+GFVVZZPqCby8vLj33ntxuVzntB6NqqoUFhbi7e2NyWSqxRI2LKqqUlRUhJeXFz4+Pp4ujlRLBg8efNrWxmbNmnHXXXd5oESSVLtkmn0tUhQFvV6Pl5dXrTapCiHIy8sjIyMDl8tVa/upSXq9HqPReE71snv3bkaPHs2MGTMoLy+vxdI1LIcOHeKGG27g0UcfpayszNPFkSRJqhGyBaURKC0t5dtvv6WoqIixY8fSrFkzTxepVhw4cIDff/+d0tJSLBZLvV1Tqa4dOXKE33//nczMTIqKimQriiRJjYIMUBoBnU6Hv78/qqo26jkOLrnkEj7//HPi4+MJCQnxdHHqjd69e/P5558TERFBRESEp4sjSZJUI2SAcp6EEAgh6kVGvNFo5Nprr8XhcDSICb3Ol7+/PzfccANQ/yZv8yRfX1/3XAWyXiRJaixkDsp5ys3N5cUXX+Snn37C6XR6tCyKomAymTCbzfXiAmW328nOzsbhcNT4tutDQFgfyXqRJKmxkQHKefrzzz957LHHeO6558jLy/N0ceoNp9PJJ598wrXXXsv8+fNRVdXTRZIkSZIaoCYToFgsFmw2W40tntWpUyfGjBnDqFGjCAwMrJFtNgZOp5OtW7eyYcMGtm/f3mBGFdWWqq5AuWhbdbJeJEk6kyaTg7J+/XpsNhtDhgypkTlJEhIS+O9//4ter5dznJygau6XAQMGcNFFFzXpNT+qhn+np6eTkJCAv7+/7Iahsl4KCgo4evQocXFxBAYGNtp6qQrC5MKJknTumsy3xm63U1ZWVmNdDoqi4OPjI4OTkyiKQlxcHNdffz0xMTF1euERQlBcXMymTZuwWCwevzt3Op2sWbOGhQsX8tdff3m0PEII0tLS2L59u8dzplwuFykpKSxcuJCNGzc26m7ArKwsXnrpJVJTU2u0BVeSmoImc3vbs2dPjEbjOc1cKjUsDoeD5557jnfffZeHH36YRx991KMtOFqtlubNm1NSUkJ0dLRHWwlyc3MZM2YMe/fuZdGiRfTu3dtjZdFoNDRr1oy8vDxiYmIadeuC2WwmJiaGl19+GYPBQN++fbnooouIjY0958+DEILDhw+zY8cOAgIC3C2UhYWFrFu3DpfLRb9+/WSXs9RoNJkApaGtCiudO0VR8PX1xWw24+vr6/FuA41GQ8eOHWnduvU5z5pb06pWGTabzR5v9dNoNLRr147ExESP10tt8/Hx4YYbbmDo0KH8+eefvPXWW3zyySf06dOH2267jejo6LPelhCC3bt3s2XLFnbt2kWXLl0wmUy8+uqraLVatFot69evZ/r06fJGTGoUmkyAIjV+Op2OBx98kDFjxtCsWbN6cWeu1WrrxYy3QUFBfPHFF5SWltaLmYY1Gk29qJfaZrVaWb16NUuXLqWgoICrrrqKAQMG8Ndff/Hmm28ye/bss96WoigMGzaMzp07M2XKFACKiopITU3l7bffxt/fn1tvvZWDBw+SlJQEILuUpAZNBihSo1E1H0zLli09XZR6R1EUQkJC5Ay8dSw/P58VK1Zw7bXX0rZtWwICAtBoNLRo0YKUlJRz2tbpWppycnLw9vbGbDaj1+sJDAykoKCg2mt27NhBWloaDoeDkpKSCzoeSapLnr/FrMeEEDidTpxOp7wTOYkQAofD0agTHCXpQqmqSrdu3UhOTiYoKAin08n777+Pt7c3l1xyyQVv32Qyuc9RUJmHdXIXXklJCdnZ2eTk5Hg8QVqSzoVsQfkXZWVlvP7663h5eTFx4kRMJpOni1QvCCHYs2cPH330EZdccgmXXXYZWq3W08WSpHqloKCAzZs3s2LFClq2bIlGoyE/P5+UlBTuuuuuc96eEIKKigoKCwux2WwUFRURHByMqqps3rwZPz8/iouLiY+Pr/a+Pn360KdPH+x2O3/++WdNHZ4k1ToZoPyL/fv389JLL2E0Grnyyitp06aNR8vjcrlwuVzo9XqPJxYuWbKEV155hQMHDtC3b1/8/f09Wh5Jqm+2bdvGp59+SkZGBqWlpSiKgl6v57rrrjuv7QkhWLZsGZ9//jl5eXk888wzPPDAA9x9993MnTsXh8PB3XffXa0b7+TzhKfPG5J0LmSA8i8SExOZMGECRqOR2NhYj5bF5XLx119/ceTIEfr27Ut4eLhHTzaDBg3irrvuYtCgQfj4+HisHJJUHwkhuPjii+nSpQtHjx6lXbt2F/x9VRSFq6++mquvvvqU5/r371/tdZLUGMgA5V/4+fkxY8YMFEXx+Iyodrud1NRUDh48SFxcHOHh4R4ri6IodOjQgVdffRW9Xi+7dyTpJBUVFSxevJjk5GQ++eSTas81a9bMPQrnXMjAQ2pqZIDyLxRF8ficEVW8vLy46KKLaN68eb0YpaIoCkaj0dPFOGtCCOx2OzqdTgZUJ5D1UjsMBgOdO3fG39+f4cOHV3vOz8/PQ6WSpIZFBigNhEajIT4+3p0AJ++mzl7VBFfvvvsuAwYM4Nprr/V4i1h9IITg0KFDvPbaa/Tq1YvRo0ej1+s9XaxGQVVV9u3bx549e055To4IlKSzI8/SDYgMSs7f8uXLeeeddzh69CiDBg0iICDA00WqF/7880/efvttdu7cyWWXXSbnSakhLpeLzZs343A4TnkuKiqqWs6IJEmn12QClKq7FnmRb5oGDx7Mfffdx8UXX4yvr6+ni1Nv9OvXj/vvv5+ePXvKoK0GGY1GHn30UbRaLXa7vdpz9WGGY0lqCJpMgLJ7924MBgOJiYnyBNHEKIpCmzZt+M9//oNOp5N//78pikJ8fDyzZ892r+Ui1Yzy8nK++eYbBg4cyOOPP17tufj4eGbOnOmhkklSw9FkApRDhw5RWFhIdHT0adcAcblc2O12vLy85AWsEapPCc/1SX2qFyEEqqoihECr1Tbo1s6quZNMJhNTp07Fz88PRVHck61JknRm53Qlfv755+nRowd+fn6EhYVx7bXXsnfv3mqvsVqtTJw4keDgYHx9fRkxYgTZ2dnVXpOWlsawYcPw9vYmLCyMhx56qNanYI6IiKBdu3anXeXT5XLx448/MmnSJDZv3iyT2E4ghCAnJ4eMjAxZLzVAVVUKCwuxWq2yPk/idDpZvXo1y5cvx2q1ero4F0Sr1RISEkJGRgZLly4lPj6ehIQEoqOj+e9//+vp4klSg3BOLSh//PEHEydOpEePHjidTh577DGGDBnC7t273ZN1PfDAAyxatIj58+fj7+/PpEmTGD58OGvWrAEqg4Fhw4YRERHB2rVrOX78ODfffDN6vZ7nnnuu5o/wb507d0ar1Z62daS8vJyvv/6a+fPnk5iYSLdu3Rr03VtNys3NZfjw4RQWFrJgwYJ6McS5IUtLS2PBggU0a9aMK6+88rQBc1NlsVj466+/sFqttG/fnujoaE8X6YLs3LmTr776iq1bt2I0GlEUhcLCQjlSSpLO0jkFKEuWLKn2+yeffEJYWBibN2+mf//+FBcXM2fOHObOncvAgQMB+Pjjj2nbti3r16+nd+/eLF26lN27d/Pbb78RHh5O586dmTlzJo888ggzZsyotebmfzspeHt7c+edd5KQkMA111wjg5MT2O12CgsLKSgowGazebo4DZ7D4aCiooKKigq50OJJzGYzffr0wWazNYrRRAaDgcDAQMLCwjCbzSiKQmhoKL179/Z00SSpQbigHJTi4mIAgoKCANzD6gYNGuR+TZs2bYiNjWXdunX07t2bdevW0aFDh2ozoQ4dOpQJEyawa9cuunTpcsp+bDZbtYtjTS8ZrtVqueSSS7j44osbfN93TYuOjmbBggXYbDbatm3r6eI0ePHx8YwfPx5fX98GNdFdXdBqtXTv3h1oHKPtAgMD6devH8nJyRgMBvR6PTExMbUSfO3fv5+NGzcSFRVF79695WdLahTOO0BRVZX777+fPn360L59ewCysrIwGAynDFcMDw8nKyvL/ZqTp2mv+r3qNSd7/vnnefrpp8+3qGdFo9HI5NjTUBRFduvUIJ1OR1RUlKeLUS8pitIoApMqe/fuZe7cue7fHQ4HpaWl3HfffSQnJ9fYfo4ePcpzzz1Hnz59mD9/PllZWVx//fXyfCY1eOcdoEycOJGdO3fWyfLd06ZNq7Z2RUlJCc2aNav1/TZGVYmZqqpy/Phxjh07hhCCkJAQmjdv7m5BakwXitMRQriPPSYmxv1YWVkZhw4dory8HJPJRHx8PL6+vu6TfVOol+PHj2O324mNjZUXuQvQt29f+vbt6/5dCMHGjRv5+uuvayxAqdpmXFwc//d//8eWLVt47733uO666/Dy8jolEbtqpFRddS9eSCJ41XetpldkPrFM/1a+s9lPYz8feNp5BSiTJk3i559/ZtWqVe6TO1SOlLHb7RQVFVVrRcnOziYiIsL9mg0bNlTbXtUon6rXnMzLy0smE9YAIQT79+/nl19+YeHCheTm5mIwGFAUBbvdjp+fH5dccgnXXXcdHTp0aNTTwWdkZDBs2DBUVWXu3LkcO3aMefPmsWvXLlRVRa/X43Q6EULQpk0bRo8eTb9+/QgMDGzUJ6Xs7Gyuu+46CgoK+Pnnn2ndurWni9Rgne7C2rx5c8rLy2tsH1Wj7CIjI1EUBX9//1Pym7Zu3cqRI0dwOp2kpqby2GOPodFoEEKc8gO433vy4yfus2rI9JnKdvJP1TDyf3qsat8GgwFfX198fX0JCgoiLCyMkJAQzGYz3t7eeHt74+Pj4/63t7c3Wq0WIQQulwur1erO9aqoqKj2e1lZGYWFheTn51NQUEBZWZl7aLtOp0On02EwGDAYDHh5ebn/ffJjVa/V6/Xu/5/Nv6vOq1WB4j/9uFyuf3y86rmz+bcQguTk5AY5QeU5XYGEEEyePJkffviBlStXuteFqdKtWzf0ej3Lly9nxIgRQGUzZ1pamvuOITk5mVmzZpGTk0NYWBgAy5Ytw2w2k5SUVBPHJJ1GeXk5CxYs4I033kCv1zNy5Eg6d+5MYGAgAKWlpaSmpvL999/zww8/8H//93+MHz++0V6QXS4XFRUV5OTkMHXqVI4fP06/fv2YMWMGkZGRGAwGHA4H2dnZLFmyhCeffJI2bdrw2GOP0aFDh0Y7qZmqqlitVqxWKy6Xy9PFadDy8/PJyMhw/15RUcGyZcto1apVje1DURRMJpM7L8/hcKDT6ap9Z61WKxaLBYfDgclk4qKLLkKv17tbSk/8qdrmPz3+T2X4t/IpioJGozntv0/3u6Io2Gw2LBYLpaWlFBQUkJ2dzc6dOyktLa0WeGg0GneAYjabcTqdlJaWuj/DDocDg8GA0WjEy8sLo9GIj48PgYGBBAUF0aZNG3x9fVEUBZfLhdPpxOl0Yrfbq/2Ulpae8pjD4XC//p9+XC4XGo2mWnCi0+mqBWRn+oH/pSBoNBr3aNSz+bdWq8VgMNChQ4fGH6BMnDiRuXPn8uOPP+Ln5+fOGfH398dkMuHv789tt93GlClTCAoKwmw2M3nyZJKTk92Z60OGDCEpKYlx48bxwgsvkJWVxRNPPMHEiRNlK8kJqrobNBoNJpPpgoKE0tJSXn75Zb788kseeOABxowZQ15eHjt27GDDhg04nU6aN29O9+7dGTlyJCtWrODZZ59l27ZtvPTSS41iRMXJYmNjmTFjBk888QQRERG89tprREVFsXXrVjZv3kxWVhahoaG0bNmSp556ikmTJvHCCy8wfvx4XnjhBQYPHtwouz8iIyP56aefsNlstGjRwtPFadB27drFl19+6W5pMBgMJCUlceONN9boftq2bcv7779PWloaq1evJi4urlrrZ+/evenduzd2u52VK1dy9dVX15vJ+c6kqu5O1/qiqiqlpaXk5eWRl5dHYWEhOp2OgIAAAgMDCQwMxM/Pr1q39dkEX//UBXSmf5/u/0IIbDbbKa05gDtYOflHr9dXa82pCuCq/FuX1z/9u6HeUCniHDoJ/+ki+fHHH3PLLbcAldH61KlT+eqrr7DZbAwdOpR33nmnWvfN0aNHmTBhAitXrsTHx4fx48cze/bss+5SKCkpwd/fn+LiYsxm89kWv0EpLi7m22+/RafTMXLkSPc8M+fK6XTy+uuv8/nnn/Pcc8/RsWNHPv/8c7777jt3wqZWqyUrK4vS0lL69+/P5MmTKSws5OGHH6Z9+/Y899xzjWqJeCEEe/fu5ZZbbqFnz548/vjjbNu2jddee80dmAQFBVFUVEROTg5BQUHuQPu1117jl19+Yc6cOXTu3LlRti5JNaPqjrxK1XICNf2ZsdlszJ07l1WrVhEeHs7dd99N8+bNT9mPzWbjjjvu4MMPP2wwAYrkGUII5s6di5eXFyNGjKjRz+w5Xb9FA1RcXCwAUVxcfNbvUVVVqKpai6WqWTk5OeLFF18Ur776qigoKDivbaiqKjZs2CDatm0rvvrqK5GZmSlGjRolevbsKb766iuRnZ0tnE6ncDqdori4WCxevFgMGzZMXHTRRWLnzp1i/fr1olWrVmLevHkNqu7OpLi4WNxyyy1izJgxIisrS8yZM0e0bt1aPPTQQ2Lbtm3CZrMJp9Mp7Ha72L17t3jyySdFy5YtxRtvvCFycnLE7bffLkaNGiXy8/M9fSiSJIT43/nt385zVqtVjBs3TthstjoundTQqKoqvvjiCzF//vwaP/efy/W78WZBniQ1NRWDwUB8fLy7ab6iogKLxUJwcHC9awILDg7mxhtvRKPRnPcqsxUVFXzwwQf07duXSy+9lOnTp5OXl8cHH3xAfHw8mzZtYsWKFTgcDnr37k2/fv3o0KEDDz30EA8//DCvvfYat912G3PmzGHQoEEEBwfX7EF6yJYtW/jzzz/59ttv2b17N7Nnz+bee+/l9ttv5+jRo3z44YccOHCA5s2bM2jQIB5//HESEhJ49tlniYuL4+GHH+aaa67hzz//5KqrrpKtKJLHyc+g1Bg1vk70f3DgwAHWrl3r7v+rqKhg1qxZXHvttaxfv77erYui0WiIiooiIiLivE4+QgjS0tJYs2YNN9xwA7t372bJkiXMmjWL+Ph4nn32We69915SU1PJyMhgxowZPPDAAyiKwiOPPML69euZPHkyAwYMIDc3l40bN9a7OjofQgjmz59P3759CQ8P56233mLYsGHceuutrFu3jptvvpl58+ZhsVj48ccfGTduHL/99hujR49m7NixvPPOO/j4+DB48GC++eabRlEnUt2xWq0UFRV5uhiS1CA0mQAlPDyctm3buhNxKyoq2LhxIykpKRw4cMDDpasde/fuxWAw0L17dxYsWEC/fv3o1KkT8+bNY/Hixbz22ms8/fTTTJ06lc8//5y0tDRefvllFEVBVVW2bt1KQEAACQkJbNq0qVFMzV5cXMzOnTsZPHgwaWlp7N27l1tvvZX8/HweeughLr/8cj777DPGjx/PnDlzGDt2LI899hhpaWmMGzeOzMxM9u3bx6WXXsr+/fvJzc319CFJDci6det48cUXPV0MSWoQmkyA0qVLF7p06eLuygkICOCll17i66+/5uqrr/Zw6WrHzp07SUhIwG63s2fPHi666CL3cONbbrkFl8vF2LFjueWWW1izZg333nsva9aswWAwMHPmTPecA61bt2bPnj21vuJ0XcjIyKCiooLY2Fj279+P2WymdevW/P7772g0Gm644QaeeuopJkyYwEMPPcSVV15JUFAQS5YsIS4ujvDwcHbs2EF0dDSqqpKWlubpQ5IakF69enH//fd7uhiS1CA0mRyUkxcL1Gg0dOjQgQ4dOnioRLWvvLwcHx8fysvLKSsrIyAggNLSUgoLC2nTpg1r167Fz8+PsLAwVqxYwaOPPoqqqlgsFnr06IGPjw+lpaX4+flhtVobRXeG3W4HwGQykZOTg7+/PxqNhqNHjxIXF0dhYSFbt25lyJAh/Prrr2RlZZGYmEh6ejqKohAYGEh+fj5GoxGNRuPeniSdTnFxMYsWLQJwt0x6e3uTlJREixYt6l3umyTVJ02mBaUpqgowvL298fX1JS8vDz8/P4KCgti6dSsXX9wfS3kh+/fv46qrrmLfvn0AhIaGYrFYEELg7++PxWLB29u7USTindjFFxYWRmFhIU6nk8TERHeLSp8+F/Hzwu/p1q0rERER7Nmzh/j4eIQQ5OfnExISQkVFBUIIOXeP9K9KS0v55JNP+OOPP9izZw9ff/018+bN45FHHmHFihWeLp4k1WtNpgWlKerUqRNff/01iqLQtWtXVq1axc0338w111zDG2+8TkwHDROe7U+Urh+J0Z24++67ufjii4mOjubTTz8lMTGRoKAgduzYQb9+/RrF1PcxMTH4+fmxd+9eunTpQkVFBT/99BM7duygqLCALz96nSmTL2HI0Ag6thnCDwsXYrVaGThwIPv37ycvL4/OnTtz6NAhdDodzZs3P+cyCCGwWCykpqYSGxtLeHh4vQr+XC4XW7ZsYePGjYwYMYKwsLA6K1/VGlGZmZm0bdsWHx+felU358pqtdK9e3cef/xxvL29OXDgAP/973+5/vrr+fbbbxk8eLCniyhJ9VbDv+JIp6UoCm3btkWj0bBp0yaGDRvGuHHj2LBhAzfeeCN79+9h5epfMQcb2Xw8j3YtM4mLi2Pq1KmkpaXx448/8sADD3Do0CEyMjLo3bt3o5g51Ww206NHD5YvX86woZeQ1CKaO+64A4vFQttWUWzft420nEQ+nPML99zpw9KlS3nmmWeIjY3lmWeeIS4ujhYtWvDFF1/QqVOn85plVwjBunXrWL9+PXFxcYwaNQpvb+9aONrzk5WVxeTJk0lJSSE3N5ennnqqzvZdWlrKL7/8wrFjxygrK+Piiy+us33XloMHD3Lo0CGioqL466+/KCsrw8fHp1F8nySpNslvSCMWERFBnz59+PTTT0lISGDMmDHMmDGDHTt28PT0Zxgz+gaWzd/BwgW/oXhVMOu5WZSXlzNt2jTatWvH4MGD+eKLL4iOjqZdu3YN+k5WCIFwlEPpMS7v1ZxNa1ew/5f/8MAVYfh7azAYdIwYcwnvvn8fmzbuY+mSzXz4wWIuuqgPHTt2ZO7cufz000888MADZGZm8scff3DllVeeV1kURSEsLIzAwEAiIiLqXcuUr68vnTt3pkWLFnW+PpbBYCAiIoKgoCBCQ0PrdN+1ITY2ljFjxvDiiy9yzz33sHr1au69914CAwO57bbbPF08SarX6teZUapR3t7eTJo0idGjR7NkyRImT55MTk4OkydP5rXXXuPYAYX9O7JQXYI/168gOqwlH77/CQCzZs1i3759zJ8/n7feeqvBTdImhADhBJcdSo8hCvdBaTqUZ9HNt5ArekTxype/89rz4/jPy3fwzLPzKC+3kpNTwryv/sDpdLFm/S5imrdn5syZrF27lkcffZTWrVszdepU+vXrR//+/c8raFMUhQ4dOhAdHY2/v3+9m3bc39+f2bNnk5mZSYsWLeo0MDUajVx66aWUlpYSFBTUoINiqJxevmXLlrz22msoioLZbJaJsZJ0lmSA0si1bNmSSZMm8eKLL2IymXjuuef4+eefURSFuZ9/Q2hYKFZ7KSmrd9AreTP9+vXh5ptvITU1lUcffZTrr7+efv36efowzooQAlQHlGcjSjOg6CCUHAZ7CQgVqByFZDIamHTnUG6Z/gNPvvcHM5+7lTcjQ1m5Yj8v/mcxhw/lupOCHQ4HAwYMYPTo0XTo0IHp06ezf/9+vvzyywtaHVSn07lX866PAgICznsG4wtlMpkwmUwe2XdNKy0t5c0330QIQadOnejfvz9t2rQ5ZVTh2UhPTyclJQWn08n111+PRqNBCMHhw4dZu3YtgYGBDBw4sNHUnSQ1+S4el8uFxWJptEvLa7Vaxo4dy4QJE3j66aeZO3cu1113HYcPH6akpIQrr7iKVh2iiGhuZvNfm+jZtyO///47Dz74IP379+eee+7BaDR6+jBOSwiBcNkR1iJE4T7EkcWI7e8hdn0EB76D3C1gK0SoLmyqDovqQ44umpLmnYjul8xLr99DZmYBk+95h53bi/AyRLF2zVYuvfRS/P39uf3229mwYQMXX3wxERER3Hvvvezdu5c33nijzlsWpIYpPDycV199lfvvvx+j0cjjjz/OlClTzmtbR44cYffu3fz3v/91n6+Ki4t5+umnKS0tZdmyZXzxxReNYjoASYImFKAUFha6h4ZWUVWVZcuWcdttt/Hzzz832iDF29ubO++8k6effpoVK1awfft2PvjgA5o3b05UVGU3Q2LbSFYt+YuNe5bw8ccfMX78eHx9fXnwwQc5fPiwpw8BqFq+XEWoTkRZFuL4WsT++Ygd7yF2vA/pyxGWIwhbMUJVsal6sh3BpFoT2WZvz9GAbhjatcUUFYyi09OuXSL3P3A7pRYDmzYeJScnH7vdzuDBg/Hy8qJTp06UlJTwzTffsHDhQnQ6He+++y69evWSwYl01jQaDbm5uRw9ehQ/Pz/i4+PPazt9+/Zl/PjxBAYGuh/buHEjwcHB3HHHHUyePJnly5dTXl7ufr7yOyNk0CI1SE2miyclJYXy8nKGDRvmnrvC5XKxbNkyvv32W4KCghg6dGij7R82GAwMHz6coUOHsnjxYg4fPkxWVhYbNmygwlqGX6AXLlWwY/supjxxB62b9eKGG25gy5YtXH/99SQkJHis7EJ1VbaEVORC8WEo3AfWPHDZQFQGlQJwqDrKVBMlLj/ynIEUucw40eHrryM+UUNQiIJGA0IoFBXCwf0C4YpmwoR7KC8v55VXXiE4OJjXXnuNgoICZsyYgdls5quvvuLTTz9l8uTJjWY+GKluHD9+nMcee4zQ0FAuvfRS7r333n/NOSoqKmLjxo3uNcOq9OzZk/Dw8NNuPyIiAq1WS1RUFDabjeLiYnx8fNyv2bx5M4cOHcLpdFJcXFxzBydJtazJBCinu4vQ6XSMHz+e4OBghg4dWq+SFYUQ7rVvNBpNjVwUNRoNDoeDefPmcfPNN9OhQwfuuece7HY7Dzx6J9m2bfwy7y8uvWw3iWpnHn/8cfbt20efPn0ueN9nq/JvpILLUZk7UnQAUXwAyrLAWgCq/e/XgYoGp9BT/HdAUuwyU6qasAsDoODlpRDbDGKaafAyAijYbQpHj7jIzBDY7QKNRkfz5pGkpKQAMGfOHGbOnMnevXvp27cvzz77LLfddhu///47EyZMkMGJdE4CAwN5/PHHiYqKIj8/n++//57MzExmzJhx2tfb7XaysrIoLS2t9njHjh1P2wri7e1NeXk5QggqKirQaDSnTB6oqipOpxOn0ylbUqQGpckEKL1798ZoNFYLQqpGU7Rv3x5FUerVxcdut7NmzRp0Oh3JycnnlVR3OqtXr2b//v3cc889vP/++1itVpxOJ4t/+IMxk3uyTLeVNX+uJTa0A5dccjlXX311rdZLtROmvbhyxE3JESg+BKXHQHUgEFX5rahoKHH5UOwyU+D0p9Dlj00YECiAgl6vJ8TfD/8AF5HRNkzeDkBBVSE3Bw7td1JaWrkxX19fEhIS8PX15bHHHmPEiBGsXbuWbdu2YTAY2Lp1K7///jujRo3i888/Z+TIkYSGhtarz4lUfwkhsNls7Nmzhw8//JDly5dz4403ctNNN/3je0JDQ//xeZvNRkFBATabjdzcXIKDg+nSpQtff/01qamppKSkEB8fX60LCKBHjx706NEDu93Ob7/9VqPHKEm1qckEKCd/aavUt8CkSkFBARs2bECv15OUlHReE4KdzGq18tFHHxEdHc3MmTOJjIzkpptu4ujRoyQkJPDf//xCYIgfKxbs5JKh20jLbEG71l1rpX6EUMFZDrZihCUdClKhLBMcpeCy/v0acKHBLrwodXmT5wykwBlAhfDCIfQINOh0Ory9vPD39yc0NAT/AD06w3G0ugIUxYkQCmWlCocOuMjNVXE5K7u7IiMjSUhIwGQy8c0335Cenk5qaiqpqance++9vPnmm0yYMIEvv/yS1q1bk5+fz4IFC7jtttsabTegVLNWrlzJe++9R//+/Rk3bhzHjx9n1KhRNGvW7B/f82/ftY0bN/Lee+9RVlbGgw8+yAMPPEDXrl0ZNWoUL7/8Mn5+fkyePLnaBHD18dwmSWeryQQoDU1wcDDJycnodDr8/f1rZJurV69mzZo1CCEYMWIETz75JJ9//jllZWU888wzvPpqIO9/8A7FRSWsXbWJ8GGtiC6KJzDwwuajcLeSCLUy+Cg5iig+CJb0yqDEWf736ypfpqKhTDWR7wyg0OVPicuXMtUEVHZ1abVaAs1mQkJCCAgIwGw2YzTqcInjuMR+oBwhwOmAYxmCtCMuKirE34v9BdCiRQv3EF+LxcJHH31ERkYGBoOBl156iRYtWvDOO+9wzTXX0Lt3bx588EGOHTvGxx9/zMiRIwkKCrqAv0L9dmJXaH0N3hsKb29vIiMjyc7OpqSkxD0sWAhxXvXar1+/0w75v/7667n++utrosiSVK/IAKWe0uv17pNRTV0kMjMzqaioQKvVsm/fPu68806OHDlCaWkpY8eOxeFwoAgdTqdK7vFinObDHEzbTWe/3ufVxSSEAFcFlOciyjKhcH/lvCTOclCdVPXbqEKhXDVSqnpT6AwgzxlIuWrChQaBgkajxWz2xc/Pj+DgYIKDg92rCSsKqKIIh3oQQQGgoqr8nQSrUlSoIkTl3BqxsbHExcWh1+ux2Wx89NFHFBQUcOTIEWw2Gy6Xi1deeQW73U5OTg4TJkzAaDRit9ux2+1kZmY2+tWLHQ4Hn332GRaLhTvuuOOC5npp6nr06EFSUhJ79+7lp59+4ujRo3z22WcMGTKEnj17erp4klTvyQClnqqNu9errrqKoKAgCgsL//V1ZeIY5jbHwGAlz7KNvPwEIsKjzlge90RpzgooO145e6vlSGVyq90CldkkCKHgFFpswos8ZwD5zkBKVW+sqhEXWjQaDTqDDl9vb0JDQwkODsbHxwej0eiul8q7fBsukYZLZAA2hACbTeHoIRfHM1Xs9sp5YEJDQ2nRogX+/v7u5u9Dhw4xY8YMHA4Hr776Kjqdrtow81tuuaXasSmKQnx8fIObUfdcpaen88wzz1BYWEifPn3khfQCaDQa/Pz86N69O507dyYjI4OUlBRWrlwp61WSzoIMUJqQoKAgrrrqqmqPna652aFWsCnnQ0psGQj/4xw+tpOgwBAMBkO11/6v68YJZVmVya1VP7YiqgKSqgRXq/CiyOlHocvf3XWjogEqt+nr60tAQABBQUEEBgbi6+vr3l/V/yubyF2oIheXOIigBCEqe4+yswWHD7ootfwvCTYxMZHo6OhTRkI1a9aMcePGoaoqw4cPx8/Pr/ox/e3kumnsXR5VeUlFRUW0aNHC08VpNKpWvm7evLkcSSNJZ0kGKE3IyRfXhQsXMmfOHD744INqC7PpNSbizP3Zlf8dTp2NEv0ujmUmEh+X+HcribNyxE1FXmUrSfGByoDEWfG/eUkE2IWeCtVIkctMrjMIi8sHu9DjQouiaPAyeuHj4+NeGM7Hxwe9Xv+Pw6qFEAhKcamHUMkBnAgBpRY4dEAlL1fF5apMgo2KiiIhIeEf5y3x9fVl1qxZAHh5ebmntX/ggQc4fvw45r9zXCZOnEhcXFyN/Q3qO5PJxPTp01FVtd7OINxQnRxsS5L072SA0oidmOx4MofDwfLly2ndujUbN27k8ssvr3YCDTW1IciYSG7FblRjLkezNhHlr8NQkV45WVpZJljzqwUkKgpOoafQZSbfGUixy49Slw8OdIBSOUeD0cudR2I2m/H19T3jar6Vx+HEJTJxiSNUJcG6nJCRLkg/qlZLgm3ZsiWhoaH/upy9oiinXICrhoU+9NBDtG3blldeeYUVK1Zw66231thF5cQkybPqMqNuL2iKopwyj4YkSZInyADlb1arlfz8fMLCwmpszhFPEY7yyjlE7MUgVITBDD6RYDC7L3Zbt27F29ub22+/nddff52BAwdWu2DrFD0Jhk44snby/fzNaHPX0eW6FAze2r8X3qsMSpxCh0X1rjZ7q0PoUf+el8TLy4sQPz8CAgIIDQ3FbDaj0+nO+m5SCBVVFOESB/5OghWoKhQWwMEDKsUnJMFWNaHr9frzvqhXVFTw22+/sWvXLg4fPsygQYPOazv/xGKxsHHjRsLDw2nbtu1phyw7y60UbUul9HAGLpsNQ6A/Ae1a4JsQi6JtvKtTCCGwWq2oqipn7JUkSQYoUDkp2ksvvcT8+fN58sknGTFiRIM8OQqXHZG/CzL/hPKcv4fvCtCawBgEET0hvBuq4sWyZcuIjo7GarVSVFTE7l076dKxDdhKECWHoXAv5vIsAg4V8tV/N1BksXFNl0i6tI7GiRclLl/ynIEUOv2pEF7u2Vt1Oh0mLy93QOLv74/RaDznoKGyO8eKKtJwiWNUJcFarXD0sOB4pgvH30mwYWFhtGjRArPZ/K+tJmdDo9Hg4+ODr68vJpOJQ4cOcdFFF9XY3CdpaWmsWbOG6Oho4uLiqo2SUR1O8jZsY/fz71P41x6sOQUIpxOtjwnvmAhirhtEq3tuwjsmvEF+Ps/EarWyYMECKioqGD58uMdWU5YkqX5oMgFKUVERRqPRnW9wIofDwd69e9m9ezdHjhw573kKPEm47Ihjf0DabwiX43/zWSigEeUoZRVw8EdEWRalwX1JSVlPVGQUB/ZsozzvEKt++oCOmnZoyjLd08kjoFmQD7dc0Z5DhaXkm/QsPeqDV1A7bBipSm7V6XSEnJDcGhAQUK0V6lwDE1BRRQ4uceh/SbACso4LjhxSqyXBtmjRgqioqBpbDsBoNDJgwAA6d+5MREQE77zzDqNHj66xACU6OpouXboQGRmJyWRyPy5UlbRvl7BlyvNYs/P+DtD+fq6sHMvew+x54UPy12+j90fP4xMX3eA+o2dis9nIycmhoqKCiooKGaBIUhPXZAKUqsUCr7jiilP62L29vXnuuecYO3YsPXv2bJAnfpG3A9J+A9VBhd3Bf3/czu4jBQBc0TueK/skoNMC2RtYs3o7LUIVnrm9I7qK4xxIU3n+01WUJ+vx9TbgEhoqVC/KVG/y1EDaDQ3Cy7KdzY5SsOTRQu8kOtofPz8/QkNDCQwMxMvLq1rXzXkdgxAILLjUw9WSYC0lcPhg9STY6Oho90ywNfn3qqioYOnSpezZs4eVK1fSt2/fGu3yCwgI4PLLL0ej0VRr7Sn4azd/PfQC1qw8BILtlLOOElRgPGH4oAVVkPPHRrY+9go9352BIcBcY+WqD8xmM6NGjcLhcLgn0pMkqelqMgGKqqrV5rk4kaIoNGvW7F+noK7PhKMcMldXzkECeOm0jB7YGm+jnrRsCzM/XU/fTtGE+JtAuIj3yuDOgUGYyg8gBCRE+HL7Nd2wCD9yrKEUuAIoVb0pV00INBhMQXi7shBGC+ZmggCtgc6dO2M2m2skOPhfEuwxXOIo7plgnZCRJkhPU7H+nQQbFBRIy5YtCQ4OrvEp53U6HXfeeSfHjx9Ho9Ewbtw4unbtWqP7URTllKRgV4WVA+/No+J4jvuxWLwIIJBvyUc98cVCcOzH5eSNv5bIof0aZDD9TzQaDVFRUZ4uhiRJ9USTCVB69ep1ymKBjYblKFTkuX/VajUE+Bn5YdV+dh7Op1vrMPxM/zvu1rGBCAFlLhMlLl8KXf4ocT3Y6vRBdVbe1Ws0WvzMvvj7+xMUFER7r2gOlS9CoCIK0ykuKayRKfgrk2AL/57T5H9JsAX5gkMHBMVF/0uCjYuLo3nz5ufVUuN0OsnMzCQkJARvb+/Tvkaj0Zx2KvHaVp6ZQ/bKDaD+PWoHhUB0eKFwuqN0VVhJ/24pkUMvvKwul4vMzEz3vDNS/eRyudi9ezebN29Gq9XSr18/mjdvDkBqairr1q0jMjKSgQMHylFYUqPReIcEnCQoKKhRjgwQQoC1sHIOkhNoNQpRIb6E+JvIK67A5nCe8B447ghlQ1lHtlW04bA9hlICMBh9CAoKplWr1vTu3ZuePXvSoUMHmjVrRnxod4JMCSgaUAJyOJqzw73M+/mWWxUVOMU+nGIrgvzKJePLYe8ewY6tLooKVbRaHVFRUfTo0YOEhITzGqEjhGDx4sUMGTKE6dOnU1FRceY31REhBI5iC2VHj53T+4p27K2Rff/xxx8MGTKEhx9+mLKysgveplQ7bDYbf/31F97e3jidTqZPn05ubi5ZWVnMnDkTjUbDzz//zPfff+/pokpSjWkyLSiNmRAq7ulaqbzwaDUK/TvH0KNNBHe+uIzM/DLMPv+7s3KgpwIfvH28CQ4Odie3nm72VgAdRpqb+1KSdwyHpoJSwx4yMlvQMrHNOZb1H5Jg1ROSYEv/lwTbsmVLIiMjLzgJNjs7myNHjnD06FGcTueZ31CHhKoinP/rfhRUD/rE3/+d2J6i2mvmGHJzczl8+DDx8fHY7XZ8fHxqZLtSzfL29mbcuHEAlJSUsHz5ciwWC5s2baJ169aMHz+eTp068frrrzNq1Ch3N2LV0O2q9aTsdjvFxcWNsyVZqlEVFRUeb42TAUoD4nQ6sVqteHt7uxMsFUUBLzNC6wUuGwCWcjvv/bidQD8vMvPKiAn1JSr4hAuPosE/PIHkqGT8/PzQarVnDAAURSHE2JIwU1syy7cgfApIy9tCZHiMe5r4M6kcWWTBJapmgnUhBJQUCw4fhLxcF6pamQQbExNDQkKCe/2dCzVmzBhatmxJixYt6lVXhqIo6H19MEWGUpH5vxyUDOxspZQcHKymhB74Esb/Lip+LZvXyP6vvPJKli5dSmxsrBw1Uw8UFhayfv36U1r5kpOTiYiIQFVVfv/9d0JCQggLCyM7O5vIyEgURSEyMpKysjLKy8sxmysTqIUQfPPNN6xatQqXy8WmTZt46KGHajx/63ScTic7d+6kY8eOFzz8/2xYrVb2799P+/bt66Sl3GKxcOzYMVq3bl0n+8vLy8NisRAfH1/r+wI4ePAgd9xxR53s65/IAKWBcDqd/Pnnnxw8eJBLL72U5s2b/+9L4RsDBn+oqLzAmbx0DOgcQ2GpjaS4YNrFh1RrPUHrRWBcDxS/c1v4TqvRE2vuQ551H3ZKcfgd4kj6fpJad6oeMJ3kf0mwGbhEGlVJsA4HZKRBRpoLq7UyByQ4uDIJNigoqMZOooqi4Ofnx4ABA2pkezXNGBlKUI8OHPtxufsxExpi8GI0XmhR8DqhN1bRaoi64uIL3q+iKPj4+NC/f/8L3pZUM1wuF8XFxad0tzkcDlRV5ddff2XZsmVMmzYNPz8/vL29KS0tRQhBWVkZOp2uWuuIoijcdNNN3Hjjjdjtdu666y7efvvtOmlBKS0t5YEHHuCdd94542zRNSErK4vnn3+eV155pU4CsN27dzNv3jyefvrpOglQVq5cya5du5g4cWKt7wtg3rx5sgWlPhNCkJWV5V4R15P5Kw6Hg2PHjnHs2DEKCgrcCXIAeAVCWHc4+gsg0Ou09EyK/MdtKcHtKmeWPQ9mQyTRvt05UPA7uXnHcBr+xJBvQWtwoVX0+OhDCTTGoVOqPtgClQJc6kEEhe6clbzcyqHDRYWVY1RMJhPx8fHExsZe8HDlhkZv9iXx9lFkr1iP01KGgkIIekI4/fDm4N6diRzSp0nVUVMRHBzM6NGjT3lcVVWWLl3KV199xbRp0wgICEBVVXr06MHs2bPZv38/ixYtol27dtUuKoqioNVq0Wq1qKqKRqNBr9fXyWzZOp2ucmVyna7O91cXAVFVy3PVfmuTEML9d6yL82PV/jxNBij/Ii0tjeHDh2M0Gvnuu++IiIjwWFmMRiODBw+mS5cupzTxKYoCkb0Q5cchdxtUH5hanX8iSuwgUM7vw6dRdDTz7c1vf/xMVu5xAi72YX9ZBpS7AAW9YsRHH0qi/0BCTc0R4hgqmYAdIaC8XJB2BLIyXTgclSeVsLAwWrZsia+vb500Bdc3iqIQObgPre+7mdRXP8FV9s9JvL4Jzej03BSM4SF1WEKprvzThaeiooKVK1dSWFjIf/7zHxRFYdasWSQlJTFs2DBeeOEFwsLCmDRp0j9uQ6fTMWrUqDq78Hh5eTFixIg6+077+flx1VVX1dn+wsPDGTJkSJ3dKCQmJrq77upCp06dPB6kKKIBrv1dUlKCv78/xcXFtfoHS01N5dJLL8VkMvHbb7/V+1Vthd2CSF8B2ZvAVeFeMwc0oNVDcHuU2CEo3qH/up1/3YcQlDvzWb7vdTCWAuBwqAhVoNVp0Okrc1l0ipFE/7bE+AahoKCqkHUcjh5yuZNg/fz8aNmyJeHh4XVyx1PfOSxlHP5sAbtf+ABrVh6qvXJeGzQaNAY9oX270eGpiYT26Yaika0nkiQ1POdy/ZYByr+omntAp9PRunXren93L6qGw1TkIgr2QHl25e+mEJTA1uAbBcqFNQ86VCvb877hePk2hBCkbjnO7wv2oDpd6L10XHNbN8JjzH8HKTo6BndEaw3iyKHKmWCrkmCbNWtGfHx8jSXBNhaqy0VFZg7Hf1lFwZbdOMvKMUWFE35JL0Iv6oLOz0fWlyRJDZYMUCQAd75HTV7Qciv2sTF7DiqVw1xLCipw2F2YfA0s/mIrfv5Ghozp4N6n0R6KSG+DtbyyvzYoKIiWLVsSGBhYY+vnNFa18feTmiZVVcnLy6O8vJyAgAD8/f1r7XNls9nIy8vDbrfj5+dHUFBQndzcqapKTk4OOp2O4ODgWjs+IQTl5eXk5VWumRUeHl5tXa2a5nK5yM3NpaKiAh8fH0JCQmqlPqv+bi6Xi8jISPR6vbtOrVYrwcHB1aahOF/ncv2W7eqNWG18QbPKd7qDEwBzUOUX0+lUsRRZiUkIcj8nBFRQAq4KjMYQEhMTadasWa0meZ0Yb3vywl4T5aip8quqSnp6OkajkbCwMBnwNEF79uxh1qxZmM1mVFVl9uzZBAUFnfmN52HDhg188803eHl5kZeXx5QpU+jQoUOtfu6EEGRmZjJ+/Hi6devGf/7zn1rbV3l5ObNnz6aoqAiTycS4cePo0KFDre0vJSWFd955xz2sfNq0abRv377G97Nz504+/PBDtmzZwty5c0lISCAlJYXXX38ds9mMyWTiueeeq9O5kup3n4VUrwghKLVnn/K43eZk2dc7MJr0dOoTe8JEb4DeRmSzUHr37k1cXNx5zQR7LuXbtWsXb775Jvv27TvvWW5rohyFhYVs2LCB7Oxsj5Wjyt69exk0aBCjRo0iNzfXo2WByiHzFRUVHq+XpkIIwVdffcU111zDyy+/TEREBEuXLq21/XXr1o1Zs2Yxa9YsevfuzcqVK2v9b22xWPj4448ZMGBArQ+NXbhwIRUVFVx77bWMHTuWli1b1ur+1q1bR69evZg5cyatWrXir7/+qpX9tG/fntmzZxMdHQ1Uttx88cUX3Hbbbbz88ssIIVi3bl2t7PufNJkARVVVeUKsASfPcup0ulj5wx6OHy3iyvFdMHrrT2k9iIuLq5MROjabjbfeeov777+fOXPmeGzGWCEEW7duZcmSJaxfv97jM9fa7XYsFgsWi+UfF8ysK1Xz+Xz77bdkZ58a7Eo1z+FwcPToUTp27IiPjw9JSUkcOHCg1vbn7e3tbqnZt28fiYmJtdp6oqoqixYtIjo6ulZbMqps2LCBHTt2kJKSwquvvsratWtrdX8DBw5kzZo13Hfffezfv5++ffvWyn68vLzw9/d3n6dLS0vJzs6mU6dO+Pn50bp161r93JxOkwlQduzYwZ49e1DVfxmCK/0rRVHw1VcfAbTp98MsmLMZg5eOZd/sYPem6mvKeGn80GtMddKtoNfrGThwIMOGDaNfv34eGyKnKAqxsbG0bNmShIQEjw/Va9++PStWrOCHH37w6FB5qAwiDx8+zOHDh8nLyzvzG6QaU5fdn2VlZbz66qvExsZy6aWX1ur+srKy+PjjjykqKmLZsmVs2bKFbdu21doNqRCC/v378/DDD3PjjTeycOHCWtlPlZSUFDp16sS9995LTEwMf/75Z63u70SKorjr0RM3+E0mByUtLY3CwkLi4uL+cTVb6czCvduRXroRQeWdeOvOkdz7wlD388Hh1aeR9/eKxltXO33dJ9NqtQwfPpwhQ4bg5+fnsVFXiqKQkJBATEwMBoPB46O/tFotSUlJHi1DFZPJxKBBg8jPzychIcHTxWkS9Ho9CQkJbNmyhWbNmrF9+3a6dOlSa/srKyvj7bffRlVVbrnlFvT6ylbV2gpSfH19ue+++7DZbOTm5uLt7V2r5/j27dtz5MgRrFYrxcXFtZogC7Br1y6GDh1Ky5YtSUpK4tChQ7WyH1VVsdvtuFwubDYbJpOJyMhINm/ezEUXXcSePXsYOXJkrez7nzSZUTxbtmxBp9PRvn37GrlgOJ1ODhw4QHBwMCEhIU0m8dDhKuev3LnkWPf842uqPlJaDHQNG0e4d1KTqR/pzOpLInNTsnfvXp599lkMBgNGo5Fnn32WwMDAWtnX999/z0MPPcSll16K0Wjk0ksvrdUJ1E78PC1atIhNmzYxffr0Wvts5ebm8tRTT7kv6Pfffz+dOnWqlX0BLF++nDlz5hAUFERxcTFTpkyplQDzwIEDvPjiiyxfvpzu3btzyy23EBISwiuvvIKXlxchISE8/fTTFxz8yWHGp+FyuVAUpca+JL///jtjxoyhV69efPrpp7X2Za9vhBBYHFlsy5tHsT3jH19TUeZAk9+cq/tMxqDz7HoOktTUCSEoLi7GarXi6+uLj0/tzadTVlZGcXGx+3dfX1/8/PzqJBitWrm5NvcnhKC0tJSysjKMRiNms7lWW0ldLhdFRUXY7XaMRmO1PJGaZLfbq3W7ms1mvL293fuuGskjhxnXgprOAxBCoKqqx5MO65qiKPjpI+gUMpoDRSvIrUjFKWyIv6fX1yp69IofojCYNtEXo9fKZd0lydMURamz1ap9fHzqdCjqiYxGI0ajsVb3UbX46Nmu4n6htFotwcHntrDr+TAYDERFRZ3yeG0NRz8bTaYFpaY5HA53F4+nFxKEyoDJ6XRSVlaGn59frSdmCiEQuCi2ZVJgO4TVWYxW0eNniCDE1Aq9YkJR5ERskiRJ0v/IFpQ6oNfradu2raeL4eZyufjjjz/YvXs3l156KUlJtZv3oSgKCjoCjbEEGmPrZNZTVVUpLS3Fy8vL48uA1ydVTc56vb7W7x4lSZLqSpMZZtzYqarqnuuivLy8zvevKEqtt5YcOHCAW265hRdffBGr1Vqr+2pI0tLSuO2225g5cyYVFf+8ErIkSVJDIgOURkKv1zN48GBuuukmOnbs6Oni1Ipdu3bx448/snDhQoqKijxdnHpj3759LFiwgB9//JH8/HxPF0eSJKlGyC6eWiaEwGq1otfr0elqr7oVRcHX1xdfX98zv7geEEKQnp7Ozp076dWrF0FBQWdsgenXrx+vv/46LVu2JCQkpI5KWv/17NmT119/nZiYGI9PxCZJklRTzqkF5d1336Vjx46YzWbMZjPJycn88ssv7uetVisTJ050r3o4YsSIU6azTktLY9iwYXh7exMWFsZDDz3k8anAa4sQgtTUVCZPnsyXX36Jw+HwdJHqjfLych5//HGuueYaPv7447OapTA4OJiJEycyZMiQWg32Ghqz2czdd9/NlVdeKetFkqRG45wClJiYGGbPns3mzZvZtGkTAwcO5JprrmHXrl0APPDAAyxcuJD58+fzxx9/kJmZyfDhw93vd7lcDBs2DLvdztq1a/n000/55JNPeOqpp2r2qOqRNWvW8NFHH/HFF19QUlLi6eLUG1VJxu3atSM+Pv6s8leq8lzkyKDqZL1IktQYXfAw46CgIF588UVGjhxJaGgoc+fOdU+Hm5qaStu2bVm3bh29e/fml19+4corryQzM5Pw8HAA3nvvPR555BFyc3MxGM5uzoz6MMz4bAghOHLkCB9++CE9e/Zk2LBh8g73BFarlfz8fEJDQ9FoNGi1WnmR/ZsQApfLhUaj8fhU+ZIkSTXlXK7f533mc7lczJs3j7KyMpKTk9m8eTMOh4NBgwa5X9OmTRtiY2PdSzSvW7eODh06uIMTgKFDh1JSUuJuhTkdm81GSUlJtZ+GoGol36effpqrrrpKBicnMRqNhIeH8+OPPzJ9+nQyMk4/M21TI4Tg4MGDPPnkkyxatKjRdoFKkiT9m3MOUHbs2IGvry9eXl7cfffd/PDDDyQlJZGVlYXBYDhltsLw8HCysrKAylUnTwxOqp6veu6fPP/88/j7+7t/mjVrdq7F9hhFUdDpdPIu+B8UFBTwxhtv8Pzzz7N69WpPF+esCCEoKSlh9+7dlJSU1Moqn8uWLeM///kPb7/9NhaLpca3Xxuq5mPZs2cPRUVFHln9VJKkxuOcr5qtW7dm69atpKSkMGHCBMaPH8/u3btro2xu06ZNo7i42P2Tnp5eq/vzFJfLxaFDh8jOzm4yJ/fAwEBuvvlmbr/9dnr16nXa16iqypEjRzh+/Hi9qBdVVVm3bh3ffvsta9euRVXVGt9H//79ue2227jpppvqbErtCyWEYNOmTe4cNNnyU/tOXHLD5XLVi++HJNWUc+5zMBgMtGjRAoBu3bqxceNGXn/9dUaPHo3dbqeoqKhaK0p2drZ76GNERAQbNmyotr2qUT7/Njyyqcwcun37dq699loSExP55ptvmsRQWr1ez6233sq4ceP+8W+8b98+rrzySkJCQliwYIHHh9IqikJ4eDiRkZGEh4fXeN6MoigkJSXx5ptvotfra33ZgpqiKAqhoaFERkYSEREhWw3rgMvlYs6cOWzatAlVVbn44ou54YYb0Ov1ni6aJF2wC06KUFUVm81Gt27d0Ov1LF++nBEjRgCVS3ynpaWRnJwMQHJyMrNmzSInJ4ewsDCgsinbbDaTlJR0oUVp8FwuF1arFavVWit35XVFVVWcTudZd23pdLp/zc9xuVzYbLZ6Uy8ajYYOHTqQmJiIt7f3WV+Iz6VeFEVpcNPWK4rizjvz9vZuMIFVQ6bRaLjmmmsYPXo0BQUFTJ06lUsvvZTo6GhPF02SLtg5BSjTpk3j8ssvJzY2FovFwty5c1m5ciW//vor/v7+3HbbbUyZMoWgoCDMZjOTJ08mOTmZ3r17AzBkyBCSkpIYN24cL7zwAllZWTzxxBNMnDix1ltISktLMRgMZz1SyBM6d+7MypUr8fPzIzQ01NPFOS+qqrJq1Sq+//57brjhBnr37n3BLQxt2rRh+fLleHl5ERkZWUMlvTBarfacul6EEKxfv5558+YxfPhw+vfv3yhbGM61XqQLo9FoCAwM5Oeff2bbtm0kJSURGBjofr5qNJiqqgghcDgc6PV6OVpOOiOXy+VuwfXU5+WcApScnBxuvvlmjh8/jr+/Px07duTXX39l8ODBALz66qtoNBpGjBiBzWZj6NChvPPOO+73a7Vafv75ZyZMmEBycjI+Pj6MHz+eZ555pmaP6jRSUlKw2+0MGjSo3jZ/6nS6s16AUAhBTk4Oy5cvp1OnTrRt2/asL3gulwun04nBYKjxD57dbmfu3Ll8+OGHGAwGunfvfsH1rdVqadWq1Vm9VghBQUEBS5cupW3btnTs2LFeBAJOp5PvvvuOt956C5vNRu/evRtcC4lUP2k0GiIjI8nKymLXrl2Ul5fj7e0NVH4fPvvsM1auXImqqqSlpREbG1svvhNS/SWEoKioiAkTJnD55Zd7rBznFKDMmTPnX583Go28/fbbvP322//4mubNm7N48eJz2W2NqKiowGKxuKPCxmDevHk88MADXHfddXz88cdnNSeMy+Vi06ZNHD16lP79+58xh6JqSnqbzUZiYuIZT2wGg4ExY8ZgMBgYPny4R4ZW//TTT9x+++0MGjSIr776iqCgoBrfhxCCzMxMSktLadGixRm7M3Q6HcOHD8dmszFixIh63ZInNRxCCDQaDb1796Znz57cddddHDx40J2/pigKN998M2PHjsVut3P33Xfz3nvvNZpzoFR75s2b55GFZ0/UZCbm6N69O0ajsVEl27Zr146+ffuSnJx81nfjFRUV7Nq1i/T0dFq2bHnKsO+THT9+nGuuuYaCggKWLFlyxhYejUbDgAED6NOnj8eaktu0aUPfvn3p06eP+07y31QNj7Xb7We1JhBAbm4uo0eP5tChQyxcuJBu3br96+sVRSE5OdndoiTvYKWa4HA4ePPNN/Hz8yMvLw+TyURiYqL7+appDqpuFLRabb3v6pY8TwhRL+bt8nwJ6oinR37UNEVRuOSSS+jUqRNms/msTjhVeRAffPABycnJZzWfjEajcZ/gzjbY0Gg0HgsEFUWhZ8+efPfdd/j6+p5V4GaxWJg0aRLHjh1jzpw5xMXFndV+tFotWq32rIMNT9aL1DhptVoGDBhAXl4ebdq0ISkpqUmM/pOahiYToDRGWq32nJNp9+3bx4YNGwgPDz+rFo7w8HAWLFiA3W6nefPmF1LcOqPVas/pJF1UVMT69evJyMggMzPzrAKUkJAQvv76a0pLS4mPj7+A0krS+dNqtWdsvZOkhkoGKE3M9ddfT2hoKO3btz+r0RaKojT6IYvR0dF89NFHFBUV0bVr17N6j6Ioja5VTpIkqT6RAUoToigKISEhjBo1ytNFqVe0Wi19+/b1dDEkSZKkE8hMPanJc7lc7hFe0v/IepEkyZNkgCI1aaqq8tdffzF37ly2bdtWL2aqrQ+EEOzcuZO5c+e6p1GXJEmqSzJAkZo0IQR5eXlkZ2eTn58vF1v7mxCC/Px8srOzyc3NlQGKJEl1TuagSE2aRqOhT58+xMfHExUVJecn+VvVcO3o6GgiIyPlujrnSVVV7HY7Xl5elJWVkZubS0xMjJwoTZLOgjwbS02aoij4+fnRunVr/Pz85Bolf1MUBV9fX1q3bo3ZbJb1cp5ycnL48ssvsVgsvPbaazz88MP88MMPni6WJDUIMkA5DafTSXFxsUwOPInL5aK4uBin0+npokhSg1BYWMjRo0c5evQo+fn5PP/886xYscLTxZKkBkEGKCdRVZXNmzfz5Zdf8tdff8m+97+pqsr27dv58ssv2bBhgwzeJOksmEwmMjMz+f7772nbti0Gg0F2l0nSWZIBykmqVnHMz8+nqKhIJk2eoLi4mPz8fAoLC2W9SNIZCCGIiopi+PDhhISEcM011+BwOLj66qs9XTRJahBkkuxJNBoNffv2pUWLFkRERMikyb9VJU02a9aM8PBweRcoSWdw8OBBfH19ueyyy0hNTSUkJITAwEAOHDjg6aJJUoMgr74nURQFHx8fEhMT8fHxkcmBf1MUBW9vbxITE/H19ZX1IklnsHz5cnbs2IHL5eLtt9/GarXicDj46quvPF00SWoQZIAiNXhCCEpLSykrK5NdT38TQuB0OikqKpL5QvWAzWbzdBEkqcGRXTxSg2exWPjmm2/QaDSMGjXqrBZBbOxUVWXNmjVs27aNfv360blzZ9nq5QE7d+5Er9eTnZ3N2rVrASgvL/dwqSSpYZABitTg2e12SkpK0Gg0OBwOTxenXqhqVbJYLO6WJRmg1K2OHTvy3XffcezYMVq3bs2vv/4KwEUXXeThkklSwyADFKnBCwoK4sYbb0RRFAIDAz1dnHpBq9UyYMAA2rdvT3h4uAxOPKBz5860aNHC/bter8fb21sm3kvSWZIBSi2oWt+luLiY2NhYDAaDp4vkcUIIbDYb6enphISEEBAQUGMXTY1GQ0RERI1sq7GoSvb28fHxdFGarD///JMPPvjA/btGoyE2NpZJkyYRGxtbI/twOBzMmTOHXbt2YTKZuOGGG2R3ntRoyAClFpSXl/Pzzz+TkZHBqFGjaNOmjaeLVC/s3LmTX375hVatWnHttdfi5eXl6SJJUq3p168fXbt2df9utVpZsmQJH330ETNmzKix/TRv3pzLLruMgwcP8sILL/Df//7XnYd1ctK4EML9U9/VRZB1cj00tsDuxONriMcmA5RaoNfrCQsLw263y4TNE/j7+xMaGkpoaKicR0Vq9IxGI0ajsdpjV199NU888USN7UOv13P55ZcjhMDhcJy2+2j37t1kZGTgcDhITU1l6tSp9fr7p9PpuPHGG+natWutX1SdTifffPMNnTp1ol27drW6L08oLy/nww8/ZNSoUURFRXm6OOdMBii1wGAwMHjwYGw2m2xi/5uiKCQmJhIeHo7JZEKnq/zoVd3NKYrSICP82iLrpeFzOBzVhherqkpKSgrBwcE1vq+CggLeeOMNRo4cecpNUV5eHocPH8bpdGI0Ghk8eHC9XU1ZCMGePXt49dVX+eCDDzCZTLW6r23btvHMM8+QnJzM+++/36hadYUQrF27llWrVnHzzTd7ujjnRQYotcRgMMjck5NoNBrMZrP796pcnW3bthEfH098fLxMIKSyXgoLC9myZQvNmjWjZcuWsl4aoFWrVjFnzhz376qq4u/vz9SpU2tsH1XfoRdeeIHevXtz5ZVXnvKa/v37079/f+x2OykpKVx++eX19twkhODiiy/mwQcf5LvvvuPGG2+stc9+SUkJb775Jk888QS///47P/74IyNHjmw037Xi4mI+/PBD7rzzTgICAjxdnPMiAxTJo/bu3cuaNWsoKCggJiamUd3BXIiDBw+yZs0aEhMTiY2NrdU7Sal29OzZs9ooHp1OR0BAAN7e3jW2D4fDwWOPPYa3tzdxcXGkpqbSsmVLd9fSya1v9b01TlEUfH19ufvuu3nyySfp168fzZs3r/H9CCHcw76HDx9OixYteP755+nfv3+jSLh3uVzMmzePyMhIBgwYUO//7v+kcYSKjVDVTKB5eXnY7fYGkdR2PhISEujSpQvt27c/q2ZnIQQul4u8vDxsNlujrZfmzZvTpUsXOnbsKIO2BsrPz4/mzZu7f6Kjo2tl+Yy2bdsSHh7OH3/8wbp166ioqKjR7XtCu3bt6NKlC19++WWNf8eFEOTm5vLll19y11134e3tTdeuXWnbti1fffVVo1jBPiMjgx9++IE77rijQZ8/ZAtKPbZ161ZWrlxJx44dGThwoDtvo7FQFIXIyEguv/xytFrtWTet7tq1i6VLl9K2bVuGDBlSb/vTz5eiKISGhp5zvUhNj8FgYMqUKZ4uRo3T6XTccccd3HfffWzevJlu3brVWGDndDr54IMP6Nq1Kz179kRRFAwGAxMnTmTy5MkMGDCgQQ/VttlsvP/++wwdOpTWrVt7ujgXRJ756jGXy+X+uVBVLQ81cXcghEBVVVwu1wXf3SiKgl6vP6eL8In1cqH7b0z1ItV/LpcLu93u6WLUe4qi0KxZM4YPH877779fo8sD7Nu3j9WrVzNu3Dj3TV/V/q644go+/vjjBjsjtRCCjRs3snv3bm6++eYGf1Mrz371WNeuXRk/fjyXXHLJBQ8LLC0tZfny5WzduvWCAx6n08natWtZvXq1R77I7du3Z/z48TUyGqGiooLff/+dTZs2XXC9uFwuUlJS+OOPP7BarRe0LalxWrduHS+99JKni9FgDBs2jLKyMlauXFkj26uoqOCdd97h+uuvJy4u7pTnR4wYQU5ODqtWrWqQ3cdWq5X333+fcePG1cposbomA5R6quoOOiIiAqPReMHNjceOHWP9+vVs2rTpgu9GiouLWb9+PSkpKRQUFFzQts7VifViMpkuuF6ys7NZv349GzZsoLS09IK2ZbFY2LBhA+vXrycvL++CtiU1Tm3atGHEiBGeLkaDERAQwIQJE/j00085fvz4BQUNQgiWL19OYWEho0aNOqV1UlEUgoODueOOO/jggw/Izc290OLXKVVVWbBgASaTiSFDhjTYLqoTyQCliYiOjqZnz55069btgkcR+Pv707NnT3r27Nng174JCwujZ8+e9OjR44LnrPHz86NHjx707NmTkJCQGiqh1JAJISgvL2f79u2sW7eOffv2VZsbRfp3iqKQnJxMbGws8+fPv6AAxWKx8PHHH3Prrbfi6+v7j/vr06cPwcHB/PTTTw2qFeX48eN89tln3H333f94fA1Nw+6gks6ar68vgwcPRlGUC85r0Ol09OnTB/j/9u48Ksp6/wP4e2aYGUA2FxZRFjU3RAwxkVK7BWlKq1RkmkumqeSS3lLb9HaP0rn3XL1Wai6AFV09WZoGLqGkZSIqiooaihvEFXAJBpR15vP7w8P8mtSuC7Pyfp0z58DzPM7n+5kHZz7zfb7f7wO7HyPh6uqK6OjoJnldVCoV+vXrBxGx+9eFmsbly5cxe/ZsNDQ0GL8YBAUFISwszMotsx8qlQqvvvoq3nrrLTz++OPo0qXLHT9HQ0MDvvjiC3To0AEDBgz4094FrVaLyZMn45133sEjjzyCTp063UvzLUKv1+Ozzz5D3759ERoa6hC9JwALlGZDoVA02fLWTflc1tbUr4ujvDFQ07h8+TLc3d0xf/78Jl3/pDlRKBTo0qULhgwZgmXLlt3xaykiOHPmDNLS0rB48eIbbj9ws3ghISF4+OGHsWrVKsybN8+mp+qKCHJzc7Fv3z58/PHHNrsI393g1zwiIjPx9PQ0zqw4efIkTp06haKiIms3y+4olUrEx8fjzJkzyM7OvqNLLwaDAUlJSRg0aBA6dux42/FeeuklHD16FLm5uTZ9qae2thbLli1DXFwc2rdvb+3mNCn2oBARmUldXR3y8/OxcOFC4zf3Tp06YcGCBVZumf3x8vLC+PHjkZSUhPDw8Ntavl1E8OOPP+Ls2bOYOXPmHU279fHxwbhx4/Dpp5+ia9euNrlcfOPA35qaGgwdOtTazWlyLFCIiMwkMDAQ6enpaGhoMN4AkuOT7o5SqcSgQYOwefNmfPPNNxg7duz/fC2rqqqwYsUKjBgxAj4+Pnccb8iQIfjuu++wZcsWvPjiizZ1CVdEUFpaiuTkZEyfPt0hphX/EQsUIiIzqampwddff42srCzU19dDRBAcHIx33nnH2k2zS2q1GhMnTsTs2bPx2GOPITAw8JbHigg2bdoEd3d3PProo3cVT6vV4rXXXsP8+fPxyCOP2Nx9er766it06NABkZGR1m6KWbCUJyIyk+LiYmRkZGDkyJGYMmUKpk6divj4eGs3y24pFAp0794dAwcORHJy8i1X5RURnDt3DuvWrcPkyZPvetqtQqFA7969ERERgeTkZJtZYVZEUFBQgMzMTIwdO9bhbvfRiAUKEZGZqFQqBAcHo1evXujRowd69OhhF9NWbZmTkxPGjRuHAwcO4ODBgzcdwCoi+OKLLxAeHo6ePXve06UZtVqNcePGYdeuXTh+/LhNDJitra3FkiVLMGjQIISEhNjUpaemxAKFiMhM1Go1srKyMGHCBMyePRtz5szBJ598Yu1m2bXGFV9HjhyJlStX3nBbCRHB4cOHcfDgQYwaNapJxvy0bdsWw4cPx/Lly23iNhbZ2dk4f/48nnvuOYctTgAWKEREZuPp6Ym33noLo0ePRkxMDGJiYhx2vIAlKZVKxMbGwmAwID093eRmn1VVVVi6dCmef/55BAcHN8kHuEqlQlxcHCoqKpCRkWG1XhQRQXl5OVatWoUxY8bA29vbKu2wFBYoRERm0qJFC3Tt2hWFhYU4cuQIampqEBoaau1mOQQ3NzdMnjwZycnJKC0tNW7PzMxEVVUVnnzyySbtXXBzc8Nrr72GpKQki9+DrJGI4Ouvv4a7uzuGDh3q0L0nAAsUIiKzuXTpEj744ANUVFQgICAAGRkZSE5ObtIYDQ0NKC4uxokTJ6DT6Zr0uW2ZQqFAWFgYwsPDsWbNGuj1epSWliI1NRWvvfYa3N3dmzzeAw88gC5dumDt2rX3fPfzu3HhwgVs3LgR48aNu6M1XewVCxQiIjO5dOkSPD098frrr+OFF17ArFmzcOjQoSaPsWLFCowdOxbbt29v0ue2dRqNBhMnTkRmZiYOHz6M1NRUdOzYEQMHDjRL74KzszMmTZqEtLQ0nDp1yqKXeurq6rBy5Uo8+OCD6NWrl8P3ngBcB4WIyGzc3d1RWlqKnTt3wtvbG7t374a/v3+TxvD29sabb75pMg6juVAoFGjfvj2GDRuGxMREVFRU4JNPPjHbh7dCoUBQUBBiY2OxYsUKzJ0712IL7+Xm5iInJwerVq1qFr0nAAsUIiKz8fPzw4QJE7B+/XpUV1cjICAAEyZMaNIYKpUKbm5uN/3QEhFcuXIFlZWVqKuru+W6IfZMoVDgqaeewtatW/HMM8+gU6dOZu1dUKlUeOGFFzB58mSMGzfOYgVKRUUFRo0a5fADY3+PBQoRkRnU1tbi2LFjiIqKQlRUlPGuupa822zjvVqysrKg1+tx+fJli8W2pNatWyM5ORnOzs4WudO6t7c3Vq5cibKyMrPHaqTVatG+fftmcWmnEQsUIiIzOHDgAHJycnD//fdDqVQaezO2bt2KadOmNVkcEUFtbS3q6+tRW1uLmpoaaLVaKBQKKBQKPPfcc4iLi0NdXV2T997YCoVCcderxd5tvJYtW6Jly5YWi9kccZAsEZEZFBQUoEOHDsZvvAqFAl27dsUvv/zSpHF0Oh0WLFiAbdu2ISkpCZ988gkaGhqMMZVKJVQqFZRKZbP69k32jz0oRERm4OLigvPnz5tsKy4ubvIxC+7u7pgxYwamTp0K4PrMluYyiJIcG/+KiYjMIDIyEnPmzIG7uzv69OljnA789NNPN2kcpVIJLy+vJn1OIltwT6X8hx9+CIVCgenTpxu31dTUICEhAa1bt4abmxvi4uJMVvkDgMLCQsTGxsLV1RU+Pj548803jV2SRESOIDAwELNmzcK+ffvw17/+FUuXLkVsbCyefPJJazeNyC7cdQ/K/v37sXz5coSFhZlsf+ONN5Ceno5169YZFygaNmwYfv75ZwCAXq9HbGws/Pz8sGfPHly4cAGjRo2CWq3GggUL7i0bIiIb0bjS6dtvvw0nJye4urqiRYsWFpuWSmTv7up/SlVVFUaMGIGVK1eajGKuqKhAUlISFi5ciEcffRQRERFISUnBnj17sHfvXgDA999/j+PHjyM1NRX3338/hgwZgr///e9YsmSJQ87RJ6LmqaqqChUVFVi3bh10Oh22b9+OqqoqazeLyG7cVYGSkJCA2NhYxMTEmGzPyclBfX29yfZu3bohMDAQWVlZAICsrCz07NkTvr6+xmMGDx4MnU6HY8eO3TRebW0tdDqdyYOIyJYdOXIE77//Pr755husWbMGq1evRlFRUbNc8ZXobtxxgbJ27VocPHgQiYmJN+wrKSmBRqO5YcCWr68vSkpKjMf8vjhp3N+472YSExPh6elpfAQEBNxps4mILKpbt24YP348QkND4efnh6qqKvzrX//CwoULrd00IrtwR2NQioqKMG3aNGRkZMDZ2dlcbbrBnDlzMGPGDOPvOp2ORQoR2bQzZ85g/fr1yMvLg1arhVqtxowZM+Dj42PtphHZhTvqQcnJyUFZWRl69+4NJycnODk5YdeuXfjoo4/g5OQEX19f1NXVoby83OTflZaWws/PD8D1e1P8cVZP4++Nx/yRVquFh4eHyYOIyJZFRETgvffeQ//+/fHggw8CABYuXIjPP//cyi0jsg931IMSHR2No0ePmmwbO3YsunXrhlmzZiEgIABqtRo7duxAXFwcACA/Px+FhYWIiooCAERFRWH+/PkoKyszfpPIyMiAh4cHQkJCmiInIiKrUygUcHFxQVxcHDp16oT8/HyMHz+ei6gR3aY7+p/i7u6O0NBQk20tWrRA69atjdvHjRuHGTNmoFWrVvDw8MCUKVMQFRWFfv36AQAGDRqEkJAQvPzyy/jHP/6BkpISvPvuu0hISIBWq22itIiIbENERAQAYPbs2XBycuJy80S3qclL+UWLFkGpVCIuLg61tbUYPHgwli5datyvUqmQlpaGSZMmISoqCi1atMDo0aPxwQcfNHVTiIisrrEgUavVVm4JkX255wJl586dJr87OztjyZIlWLJkyS3/TVBQEDZv3nyvoYmIiMhBcUlDIiIisjksUIiIiMjmsEAhIiIim8MChYiIiGwOJ+QTEdm5+vp61NXVQaVSQavVciozOQQWKEREdqyqqgqLFy9Gfn4+NBoNpkyZgrCwMBYpZPdYoBAR2SkRwf79+1FcXIxFixYhMzMTqampWLBgAdRqNUQEIgIAMBgMEBEYDAbeUZn+1O//bqyJBQoRkR0rKChAjx490KpVK/Ts2RObNm2CXq83FiibNm3Cvn37oNfrkZubi3nz5kGptMzwQxGxaE+Oo8ezpGPHjiE+Pt6qbWCBQkRkx/R6PVQqFQBAqVSafPNVKBTo27cvunTpgrq6Opw4cQIvvvgiNBqN2dt19epVLFiwAH/7298scv+hixcvYvny5ZgzZ47x9TCnU6dOYfPmzZgyZYpFCr7s7GwUFBTgpZdeMntRJCJIT0+3+n2jWKAQEdkxf39/7N27F/X19SgtLYW7u7vxA1OhUMDf3x/+/v6ora2Fl5cXQkJCLFKgVFZWwsvLC927d7fIMv8XLlxAy5Yt0b17d4t8sBoMBrRp0wYhISFmL1BEBCUlJaiqqkJISIhFCpTc3FyL9bTdCgsUIiI7pVAoEBUVhW3btmHevHkoLi7GyJEjb1oQKJVKBAcHW+yShEqlsmg8tVqNwMBAi8VzcXFBu3btLBILuH6zXh8fH4vFa926tdXvH6UQWxgJc4d0Oh08PT1RUVEBDw8PazeHiMiqysrKUFhYCE9PTwQHB9/0g0VE8Ntvv6Fly5YW+RA3GAwoLy+3WDy9Xg+dTgcvLy+LxKuvr8e1a9fg4eFhkR6N2tpaNDQ0oEWLFhaJV11dDeB6IdaU8e7k85sFChEREVnEnXx+cyVZIiIisjkcg0JE5OAqKyuxevVqnDp1CgMGDMDTTz9ttoGyBQUFWLt2LS5evIiePXvi+eeft8hlkOrqaixevBg+Pj4YO3as2eLp9Xr8/PPPSEtLg8FgwIQJE9ClSxezxAKAy5cvIzk5GUVFRbjvvvswduxYuLu7N3mc06dPIzU1FZcvX8bbb78NPz8/XLlyBStXrsR///tfDB48GIMGDbLozB72oBAROTARwVdffYXi4mK8+uqr2LBhAw4ePGi2ePX19Rg4cCDeeOMN/PLLL9i4caPZYjUyGAxIT0/HgQMHcPr0abPGOnr0KD7//HOMGDECCQkJaNOmjVnj/ec//8G1a9fwxhtv4OzZs0hLSzNLHLVajb/85S8oKCjA1atXISJYsWIFRASjR49GUlISCgoKzBL7VligEBE5MIPBgKysLMTFxaFnz56Ijo5GVlaW2eJ1794dAwcORGBgIAICAlBXV2e2WMD1Auzw4cM4duwYhg0bZvapsWlpaaivr8fKlSuRkpJiHExqLr6+vrh69SqKiopQX18Pf39/s8QJDAzEww8/DFdXVwDAtWvXcOTIEbzwwgsIDw9H3759sW/fPrPEvhUWKEREDqy+vh7V1dXG2S2NAxTNqXEJ/sOHD+Oxxx4z6+Wda9eu4csvv8QTTzwBjUaDhoYGNDQ0mG2p9gsXLkBEMHPmTHh6euKLL74wS5xGQUFBOH/+PDZt2oSLFy/Cy8vLrPEa1dTUGNfOafy70el0FondiAUKEZED02g08PDwQGlpKUQEpaWl8Pb2Nls8EcGePXuwfPlyzJo1C4GBgWaLBQC//fYbLl68iEWLFmHJkiVIT0/Htm3bzBavbdu2CA8PR4cOHfDAAw/g119/NVss4PolngkTJiAxMRFxcXFYv369WeM1atGiBVxdXVFaWgqDwYCysjKz/t3cDAfJEhE5MKVSiZiYGKxZswY6nQ4//fQT3n33XbPFO3ToEObPn48RI0agpqYGJSUl8PPzM1svir+/P5YuXQqDwYAtW7YgJycHgwYNMlu8wYMH49///je2b9+OrVu3IjIy0ixxGrVr1w6ZmZnQarXYs2cPwsPDzRJHp9Ph6NGjuHTpEnJycqDVajFgwACkpKSgf//+yMvLw5gxY8wS+1a4DgoRkYOrq6tDWloaTp48if79+yMqKsps96vZv38/Nm7caBwL0r9/f8TExFhk2fQTJ06guLgY0dHRZp3Fs3v3bmRlZaFLly4YOnQonJ2dzRILuP55t3HjRvz666/o3LkznnjiCbPEKywsREpKCurr66FSqfDYY48hIiIC69evx6+//oqYmBiEh4ff83nkQm1ERERkc7hQGxEREdk1FihERERkc1igEBERkc1hgUJERA5FRKDX641rojQ+ioqK8N1338FgMFi7iXQbOM2YiIgcisFgwIwZM3DlyhWcPHkSAQEB8PDwwPDhwxEREWH2+wJR0+AsHiIicigigtraWlRXV2P69OmYOnUqevTogXPnzmH37t145ZVXsGLFCqhUKpw4cQL9+vWDj48P0tPTERkZiWeffRZ1dXXYtGkTsrOzERwcjFGjRllsFVdHxlk8RETUbCkUCjg7O8PZ2RkqlQparRbOzs6oqKhATk4ORAQ7duxASUkJXn75ZSxZsgS5ubmIj49HamoqLl68iO3bt+Pw4cOYPHkyNBoNPv30U+j1emun1qzwEg8RETU7np6eeOSRR3D//fejY8eOiIiIQO/evdGqVStcuHABmZmZOHbsGEpLS3Ht2jW0a9cOtbW1xpvpkfmxQCEiomZHpVJBrVZDoVBArVZDq9VCqVRCqVRCr9fDzc0N8fHxePbZZwEAarUaLi4uVm5188IChYiI6A+GDRuGRYsW4erVqxARdOrUCbGxsdZuVrPCQbJEROSQ9Ho98vLy0LFjR7i7u6O8vBxFRUUIDQ1FXl4eAgIC4OXlhSNHjiAwMNDkZ3d3d5w7dw6nT5+GRqNBt27d4OvryxlA94j34iEiIiKbw1k8REREZNdYoBAREZHNYYFCRERENocFChEREdkcFihERERkc1igEBERkc1hgUJEREQ2hwUKERER2RwWKERERGRzWKAQERGRzWGBQkRERDaHBQoRERHZHBYoREREZHNYoBAREZHNYYFCRERENocFChEREdkcFihERERkc1igEBERkc1hgUJEREQ2x8naDbgbIgIA0Ol0Vm4JERER3a7Gz+3Gz/E/Y5cFyuXLlwEAAQEBVm4JERER3anKykp4enr+6TF2WaC0atUKAFBYWPg/E3QkOp0OAQEBKCoqgoeHh7WbYzHMm3k3B8ybeTcHIoLKykr4+/v/z2PtskBRKq8PnfH09GxWJ7aRh4cH825GmHfzwrybl+aY9+12LHCQLBEREdkcFihERERkc+yyQNFqtZg7dy60Wq21m2JRzJt5NwfMm3k3B8017zuhkNuZ60NERERkQXbZg0JERESOjQUKERER2RwWKERERGRzWKAQERGRzWGBQkRERDbHLguUJUuWIDg4GM7OzoiMjMS+ffus3aR78uOPP+LJJ5+Ev78/FAoFvv32W5P9IoL3338fbdu2hYuLC2JiYnDq1CmTY65cuYIRI0bAw8MDXl5eGDduHKqqqiyYxZ1JTEzEAw88AHd3d/j4+OCZZ55Bfn6+yTE1NTVISEhA69at4ebmhri4OJSWlpocU1hYiNjYWLi6usLHxwdvvvkmGhoaLJnKHVm2bBnCwsKMq0dGRUVhy5Ytxv2OmPPNfPjhh1AoFJg+fbpxmyPmPm/ePCgUCpNHt27djPsdMedGxcXFGDlyJFq3bg0XFxf07NkTBw4cMO53xPe14ODgG863QqFAQkICAMc+32Yhdmbt2rWi0WgkOTlZjh07JuPHjxcvLy8pLS21dtPu2ubNm+Wdd96R9evXCwDZsGGDyf4PP/xQPD095dtvv5XDhw/LU089JR06dJDq6mrjMY8//rj06tVL9u7dKz/99JPcd999Mnz4cAtncvsGDx4sKSkpkpeXJ7m5uTJ06FAJDAyUqqoq4zETJ06UgIAA2bFjhxw4cED69esnDz74oHF/Q0ODhIaGSkxMjBw6dEg2b94sbdq0kTlz5lgjpduyadMmSU9Pl5MnT0p+fr68/fbbolarJS8vT0QcM+c/2rdvnwQHB0tYWJhMmzbNuN0Rc587d6706NFDLly4YHxcvHjRuN8RcxYRuXLligQFBcmYMWMkOztbzpw5I9u2bZOCggLjMY74vlZWVmZyrjMyMgSA/PDDDyLiuOfbXOyuQOnbt68kJCQYf9fr9eLv7y+JiYlWbFXT+WOBYjAYxM/PT/75z38at5WXl4tWq5U1a9aIiMjx48cFgOzfv994zJYtW0ShUEhxcbHF2n4vysrKBIDs2rVLRK7nqFarZd26dcZjTpw4IQAkKytLRK4XdkqlUkpKSozHLFu2TDw8PKS2ttayCdyDli1byqpVq5pFzpWVldK5c2fJyMiQhx9+2FigOGruc+fOlV69et10n6PmLCIya9Ys6d+//y33N5f3tWnTpkmnTp3EYDA49Pk2F7u6xFNXV4ecnBzExMQYtymVSsTExCArK8uKLTOfs2fPoqSkxCRnT09PREZGGnPOysqCl5cX+vTpYzwmJiYGSqUS2dnZFm/z3aioqADw/3eqzsnJQX19vUne3bp1Q2BgoEnePXv2hK+vr/GYwYMHQ6fT4dixYxZs/d3R6/VYu3Ytrl69iqioqGaRc0JCAmJjY01yBBz7fJ86dQr+/v7o2LEjRowYgcLCQgCOnfOmTZvQp08fPP/88/Dx8UF4eDhWrlxp3N8c3tfq6uqQmpqKV155BQqFwqHPt7nYVYFy6dIl6PV6k5MHAL6+vigpKbFSq8yrMa8/y7mkpAQ+Pj4m+52cnNCqVSu7eF0MBgOmT5+Ohx56CKGhoQCu56TRaODl5WVy7B/zvtnr0rjPVh09ehRubm7QarWYOHEiNmzYgJCQEIfOGQDWrl2LgwcPIjEx8YZ9jpp7ZGQkVq9eja1bt2LZsmU4e/YsBgwYgMrKSofNGQDOnDmDZcuWoXPnzti2bRsmTZqEqVOn4rPPPgPQPN7Xvv32W5SXl2PMmDEAHPdv3JycrN0AooSEBOTl5WH37t3WbopFdO3aFbm5uaioqMDXX3+N0aNHY9euXdZullkVFRVh2rRpyMjIgLOzs7WbYzFDhgwx/hwWFobIyEgEBQXhq6++gouLixVbZl4GgwF9+vTBggULAADh4eHIy8vDp59+itGjR1u5dZaRlJSEIUOGwN/f39pNsVt21YPSpk0bqFSqG0Y9l5aWws/Pz0qtMq/GvP4sZz8/P5SVlZnsb2howJUrV2z+dXn99deRlpaGH374Ae3btzdu9/PzQ11dHcrLy02O/2PeN3tdGvfZKo1Gg/vuuw8RERFITExEr169sHjxYofOOScnB2VlZejduzecnJzg5OSEXbt24aOPPoKTkxN8fX0dNvff8/LyQpcuXVBQUODQ57tt27YICQkx2da9e3fj5S1Hf187f/48tm/fjldffdW4zZHPt7nYVYGi0WgQERGBHTt2GLcZDAbs2LEDUVFRVmyZ+XTo0AF+fn4mOet0OmRnZxtzjoqKQnl5OXJycozHZGZmwmAwIDIy0uJtvh0igtdffx0bNmxAZmYmOnToYLI/IiICarXaJO/8/HwUFhaa5H306FGTN7GMjAx4eHjc8OZoywwGA2prax065+joaBw9ehS5ubnGR58+fTBixAjjz46a++9VVVXh9OnTaNu2rUOf74ceeuiGZQNOnjyJoKAgAI77vtYoJSUFPj4+iI2NNW5z5PNtNtYepXun1q5dK1qtVlavXi3Hjx+XCRMmiJeXl8moZ3tTWVkphw4dkkOHDgkAWbhwoRw6dEjOnz8vIten43l5ecnGjRvlyJEj8vTTT990Ol54eLhkZ2fL7t27pXPnzjY9HW/SpEni6ekpO3fuNJmWd+3aNeMxEydOlMDAQMnMzJQDBw5IVFSUREVFGfc3TskbNGiQ5ObmytatW8Xb29ump+TNnj1bdu3aJWfPnpUjR47I7NmzRaFQyPfffy8ijpnzrfx+Fo+IY+Y+c+ZM2blzp5w9e1Z+/vlniYmJkTZt2khZWZmIOGbOItenkjs5Ocn8+fPl1KlT8uWXX4qrq6ukpqYaj3HE9zWR6zNLAwMDZdasWTfsc9TzbS52V6CIiHz88ccSGBgoGo1G+vbtK3v37rV2k+7JDz/8IABueIwePVpErk/Je++998TX11e0Wq1ER0dLfn6+yXNcvnxZhg8fLm5ubuLh4SFjx46VyspKK2Rze26WLwBJSUkxHlNdXS2TJ0+Wli1biqurqzz77LNy4cIFk+c5d+6cDBkyRFxcXKRNmzYyc+ZMqa+vt3A2t++VV16RoKAg0Wg04u3tLdHR0cbiRMQxc76VPxYojph7fHy8tG3bVjQajbRr107i4+NN1gJxxJwbfffddxIaGiparVa6desmK1asMNnviO9rIiLbtm0TADfkIuLY59scFCIiVum6ISIiIroFuxqDQkRERM0DCxQiIiKyOSxQiIiIyOawQCEiIiKbwwKFiIiIbA4LFCIiIrI5LFCIiIjI5rBAISIiIpvDAoWIiIhsDgsUIiIisjksUIiIiMjm/B9aJlSCKTU7BQAAAABJRU5ErkJggg==",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1400,486 +1591,13 @@
    ]
   },
   {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Indeed, the visualization shows that the trained agent successfully connects all users to the available cells (indicated by the line connections), leading to rather good QoE (yellow to green color).\n",
-    "\n",
-    "\n",
-    "## Step 4: Multi-Agent RL with Ray RLlib\n",
-    "\n",
-    "As alternative to controlling cell selection centrally for all users from a single RL agent, we can also use multi-agent RL, i.e., delegating control to multiple agents that act in parallel.\n",
-    "As an example, we could have each RL agent responsible for the cell selection of a single user. Then we would need as many agents as we have users.\n",
-    "That's what happens in the predefined multi-agent scenarios, e.g., `mobile-small-ma-v0`.\n",
-    "\n",
-    "Let's use RLlib to train a multi-agent policy on the `mobile-small-ma-v0` scenario, which has three base stations and five users.\n",
-    "\n",
-    "### Set up Ray RLlib\n",
-    "\n",
-    "To train a multi-agent approach, we can use Ray RLlib, which supports multi-agent RL out of the box. To register the predefined multi-agent scenario with RLlib, `mobile-env` provides a wrapper `RLlibMAWrapper`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    },
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: ray[rllib] in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (2.2.0)\n",
-      "Requirement already satisfied: tensorflow-probability in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (0.19.0)\n",
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-      "Requirement already satisfied: gym<0.24.0,>=0.21.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from ray[rllib]) (0.23.1)\n",
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-      "Requirement already satisfied: mdurl~=0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from markdown-it-py<3.0.0,>=2.2.0->rich->ray[rllib]) (0.1.2)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# install ray RLlib\n",
-    "!pip install ray[rllib] tensorflow-probability"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    },
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "from ray.tune.registry import register_env\n",
-    "\n",
-    "# use the mobile-env RLlib wrapper for RLlib\n",
-    "def register(config):\n",
-    "    import mobile_env\n",
-    "    from mobile_env.wrappers.multi_agent import RLlibMAWrapper\n",
-    "\n",
-    "    env = gym.make(\"mobile-small-ma-v0\")\n",
-    "    return RLlibMAWrapper(env)\n",
-    "\n",
-    "# register the predefined scenario with RLlib\n",
-    "register_env(\"mobile-small-ma-v0\", register)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Train a PPO Multi-Agent Policy\n",
-    "\n",
-    "Now, that the predefined scenario is registered with RLlib, we can configure and train a multi-agent PPO approach on the scenario with RLlib."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2023-04-28 15:56:18,164\tINFO worker.py:1538 -- Started a local Ray instance.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "    <div style=\"margin-left: 50px;display: flex;flex-direction: row;align-items: center\">\n",
-       "        <h3 style=\"color: var(--jp-ui-font-color0)\">Ray</h3>\n",
-       "        <svg version=\"1.1\" id=\"ray\" width=\"3em\" viewBox=\"0 0 144.5 144.6\" style=\"margin-left: 3em;margin-right: 3em\">\n",
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-       "                    c0.5-5.5-3.6-10.4-9.1-10.8c-5.5-0.5-10.4,3.6-10.8,9.1c0,0.5,0,0.9,0,1.4c-0.2,5.3,4,9.8,9.3,10\n",
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-       "            </g>\n",
-       "        </svg>\n",
-       "        <table>\n",
-       "            <tr>\n",
-       "                <td style=\"text-align: left\"><b>Python version:</b></td>\n",
-       "                <td style=\"text-align: left\"><b>3.8.16</b></td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <td style=\"text-align: left\"><b>Ray version:</b></td>\n",
-       "                <td style=\"text-align: left\"><b> 2.2.0</b></td>\n",
-       "            </tr>\n",
-       "            \n",
-       "        </table>\n",
-       "    </div>\n",
-       "</div>\n"
-      ],
-      "text/plain": [
-       "RayContext(dashboard_url='', python_version='3.8.16', ray_version='2.2.0', ray_commit='b6af0887ee5f2e460202133791ad941a41f15beb', address_info={'node_ip_address': '127.0.0.1', 'raylet_ip_address': '127.0.0.1', 'redis_address': None, 'object_store_address': 'tcp://127.0.0.1:64310', 'raylet_socket_name': 'tcp://127.0.0.1:65228', 'webui_url': '', 'session_dir': 'C:\\\\Users\\\\stbs\\\\AppData\\\\Local\\\\Temp\\\\ray\\\\session_2023-04-28_15-56-15_027121_21456', 'metrics_export_port': 64496, 'gcs_address': '127.0.0.1:62802', 'address': '127.0.0.1:62802', 'dashboard_agent_listen_port': 52365, 'node_id': '86e62b109290194f0d75c1157659b7f250ccc96fedb81ba8c4591de0'})"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import ray\n",
-    "\n",
-    "\n",
-    "# init ray with available CPUs (and GPUs) and init ray\n",
-    "ray.init(\n",
-    "  num_cpus=1,   # change to your available number of CPUs\n",
-    "  include_dashboard=False,\n",
-    "  ignore_reinit_error=True,\n",
-    "  log_to_driver=False,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\tensorflow_probability\\python\\__init__.py:57: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
-      "  if (distutils.version.LooseVersion(tf.__version__) <\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div class=\"tuneStatus\">\n",
-       "  <div style=\"display: flex;flex-direction: row\">\n",
-       "    <div style=\"display: flex;flex-direction: column;\">\n",
-       "      <h3>Tune Status</h3>\n",
-       "      <table>\n",
-       "<tbody>\n",
-       "<tr><td>Current time:</td><td>2023-04-28 18:46:03</td></tr>\n",
-       "<tr><td>Running for: </td><td>02:49:21.12        </td></tr>\n",
-       "<tr><td>Memory:      </td><td>6.6/7.9 GiB        </td></tr>\n",
-       "</tbody>\n",
-       "</table>\n",
-       "    </div>\n",
-       "    <div class=\"vDivider\"></div>\n",
-       "    <div class=\"systemInfo\">\n",
-       "      <h3>System Info</h3>\n",
-       "      Using FIFO scheduling algorithm.<br>Resources requested: 0/1 CPUs, 0/0 GPUs, 0.0/1.36 GiB heap, 0.0/0.68 GiB objects\n",
-       "    </div>\n",
-       "    \n",
-       "  </div>\n",
-       "  <div class=\"hDivider\"></div>\n",
-       "  <div class=\"trialStatus\">\n",
-       "    <h3>Trial Status</h3>\n",
-       "    <table>\n",
-       "<thead>\n",
-       "<tr><th>Trial name                        </th><th>status  </th><th>loc  </th></tr>\n",
-       "</thead>\n",
-       "<tbody>\n",
-       "<tr><td>PPO_mobile-small-ma-v0_810b4_00000</td><td>PENDING </td><td>     </td></tr>\n",
-       "</tbody>\n",
-       "</table>\n",
-       "  </div>\n",
-       "</div>\n",
-       "<style>\n",
-       ".tuneStatus {\n",
-       "  color: var(--jp-ui-font-color1);\n",
-       "}\n",
-       ".tuneStatus .systemInfo {\n",
-       "  display: flex;\n",
-       "  flex-direction: column;\n",
-       "}\n",
-       ".tuneStatus td {\n",
-       "  white-space: nowrap;\n",
-       "}\n",
-       ".tuneStatus .trialStatus {\n",
-       "  display: flex;\n",
-       "  flex-direction: column;\n",
-       "}\n",
-       ".tuneStatus h3 {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       ".tuneStatus .hDivider {\n",
-       "  border-bottom-width: var(--jp-border-width);\n",
-       "  border-bottom-color: var(--jp-border-color0);\n",
-       "  border-bottom-style: solid;\n",
-       "}\n",
-       ".tuneStatus .vDivider {\n",
-       "  border-left-width: var(--jp-border-width);\n",
-       "  border-left-color: var(--jp-border-color0);\n",
-       "  border-left-style: solid;\n",
-       "  margin: 0.5em 1em 0.5em 1em;\n",
-       "}\n",
-       "</style>\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2023-04-28 15:56:42,045\tINFO algorithm_config.py:2503 -- Your framework setting is 'tf', meaning you are using static-graph mode. Set framework='tf2' to enable eager execution with tf2.x. You may also then want to set eager_tracing=True in order to reach similar execution speed as with static-graph mode.\n",
-      "2023-04-28 15:56:42,047\tINFO algorithm_config.py:2503 -- Your framework setting is 'tf', meaning you are using static-graph mode. Set framework='tf2' to enable eager execution with tf2.x. You may also then want to set eager_tracing=True in order to reach similar execution speed as with static-graph mode.\n",
-      "2023-04-28 15:56:42,047\tINFO algorithm_config.py:2503 -- Your framework setting is 'tf', meaning you are using static-graph mode. Set framework='tf2' to enable eager execution with tf2.x. You may also then want to set eager_tracing=True in order to reach similar execution speed as with static-graph mode.\n",
-      "2023-04-28 16:05:59,264\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 16:28:15,784\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 16:38:24,309\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:31:27,314\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:33:28,721\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:34:29,481\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:35:30,140\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:38:32,415\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:39:33,148\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:41:34,928\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:42:35,762\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:43:36,431\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:44:37,153\tWARNING insufficient_resources_manager.py:128 -- Ignore this message if the cluster is autoscaling. You asked for 3.0 cpu and 0 gpu per trial, but the cluster only has 1.0 cpu and 0 gpu. Stop the tuning job and adjust the resources requested per trial (possibly via `resources_per_trial` or via `num_workers` for rllib) and/or add more resources to your Ray runtime.\n",
-      "2023-04-28 18:46:07,203\tWARNING tune.py:690 -- Stop signal received (e.g. via SIGINT/Ctrl+C), ending Ray Tune run. This will try to checkpoint the experiment state one last time. Press CTRL+C (or send SIGINT/SIGKILL/SIGTERM) to skip. \n",
-      "2023-04-28 18:46:08,490\tERROR tune.py:758 -- Trials did not complete: [PPO_mobile-small-ma-v0_810b4_00000]\n",
-      "2023-04-28 18:46:08,501\tINFO tune.py:762 -- Total run time: 10187.20 seconds (10166.20 seconds for the tuning loop).\n",
-      "2023-04-28 18:46:08,504\tWARNING tune.py:768 -- Experiment has been interrupted, but the most recent state was saved. You can continue running this experiment by passing `resume=True` to `tune.run()`\n"
-     ]
-    }
-   ],
-   "source": [
-    "# configure and run multi-agent PPO\n",
-    "config = {\n",
-    "        # environment configuration:\n",
-    "        \"env\": \"mobile-small-ma-v0\",\n",
-    "\n",
-    "        # multi-agent configuration (here with shared policy)\n",
-    "        \"multiagent\": {\n",
-    "            \"policies\": {\"shared_policy\"},\n",
-    "            \"policy_mapping_fn\": (\n",
-    "                lambda agent_id, **kwargs: \"shared_policy\"),\n",
-    "        },\n",
-    "}\n",
-    "\n",
-    "analysis = ray.tune.run(\"PPO\", config=config, local_dir=\"results_rllib\", stop={\"timesteps_total\": 30000}, checkpoint_at_end=True)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As before, we can check the learning curve on TensorBoard. The corresponding files are in the configured `save_dir=results_rllib`.\n",
-    "\n",
-    "The \"episode_reward_mean\" should increase with increasing training, indicating that the agent is learning. RLlib also logs many other metrics by default, which can be useful for debugging. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "      <iframe id=\"tensorboard-frame-686e7fb5f4b9ae93\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
-       "      </iframe>\n",
-       "      <script>\n",
-       "        (function() {\n",
-       "          const frame = document.getElementById(\"tensorboard-frame-686e7fb5f4b9ae93\");\n",
-       "          const url = new URL(\"/\", window.location);\n",
-       "          const port = 6010;\n",
-       "          if (port) {\n",
-       "            url.port = port;\n",
-       "          }\n",
-       "          frame.src = url;\n",
-       "        })();\n",
-       "      </script>\n",
-       "    "
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# launch a new tb instance on another port\n",
-    "%tensorboard --logdir results_rllib --port 6010"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Load and Test the Trained Multi-Agent Policy\n",
-    "\n",
-    "Let's load the trained multi-agent model and visualize the learned multi-agent policy:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from ray.rllib.agents.ppo import PPOTrainer\n",
-    "\n",
-    "\n",
-    "# load the trained agent\n",
-    "checkpoint = analysis.get_last_checkpoint()\n",
-    "model = PPOTrainer(config=config, env='mobile-small-ma-v0')\n",
-    "model.restore(checkpoint)\n",
-    "\n",
-    "# create the env for testing\n",
-    "env = gym.make(\"mobile-small-ma-v0\")\n",
-    "obs = env.reset()\n",
-    "done = False\n",
-    "\n",
-    "# run one episode with the trained model\n",
-    "while not done:\n",
-    "    # gather action from each actor (for each UE)\n",
-    "    action = {}\n",
-    "    for agent_id, agent_obs in obs.items():\n",
-    "        policy_id = config['multiagent']['policy_mapping_fn'](agent_id)\n",
-    "        action[agent_id] = model.compute_action(agent_obs, policy_id=policy_id)\n",
-    "\n",
-    "    # apply actions and perform step on simulation environment\n",
-    "    obs, reward, done, info = env.step(action)\n",
-    "\n",
-    "    # render environment as RGB\n",
-    "    plt.imshow(env.render(mode='rgb_array'))\n",
-    "    display.display(plt.gcf())\n",
-    "    display.clear_output(wait=True)"
-   ]
-  },
-  {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "While the learned policy is not yet perfect (the reward is still increasing, i.e., agent is still learning), the visualization shows that most users are connected to suitable cells.\n",
-    "\n",
-    "Feel free to experiment more with `mobile-env`, e.g., by training longer or customizing the environment.\n",
-    "The [documentation](https://mobile-env.readthedocs.io/en/latest/) provides further information about the API.\n",
-    "If you still have open questions or run into issues, you can [open an issue on GitHub](https://github.com/stefanbschneider/mobile-env/issues).\n",
+    "## Step4: Multi-Agent Reinforcement Learning with Ray RLlib\n",
     "\n",
-    "We hope `mobile-env` is useful for you. If you use `mobile-env`, please cite it and let us know - then we can list your work on `mobile-env`'s Readme.\n",
-    "We also very much appreciate contributions in the form of pull requests.\n",
-    "\n",
-    "Happy training/learning!"
+    "See how to train a multi-agent RL approach on `mobile-env` using Ray RLlib in the follow-up notebook: [**Multi-Agent RLlib Notebook**](examples\\rllib.ipynb)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/rllib.ipynb b/examples/rllib.ipynb
new file mode 100644
index 0000000..ccd113f
--- /dev/null
+++ b/examples/rllib.ipynb
@@ -0,0 +1,670 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "# Demonstrating `mobile-env`: Multi-Agent RL with Ray RLlib\n",
+    "\n",
+    "`mobile-env` is a simple and open environment for training, testing, and evaluating autonomous coordination\n",
+    "approaches for wireless mobile networks.\n",
+    "\n",
+    "* `mobile-env` is written in pure Python and can be installed easily via [PyPI](https://pypi.org/project/mobile-env/)\n",
+    "* It allows simulating various scenarios with moving users in a cellular network with multiple base stations\n",
+    "* `mobile-env` implements the standard [Gymnasium](https://gymnasium.farama.org/) (previously [OpenAI Gym](https://gym.openai.com/)) interface such that it can be used with all common frameworks for reinforcement learning\n",
+    "* `mobile-env` is not restricted to reinforcement learning approaches but can also be used with conventional control approaches or dummy benchmark algorithms\n",
+    "* It supports both centralized, single-agent control and distributed, multi-agent control\n",
+    "* It can be configured easily (e.g., adjusting number and movement of users, properties of cells, etc.)\n",
+    "* It is also easy to extend `mobile-env`, e.g., implementing different observations, actions, or reward\n",
+    "\n",
+    "As such `mobile-env` is a simple platform to evaluate and compare different coordination approaches in a meaningful way.\n",
+    "\n",
+    "\n",
+    "\n",
+    "**Demonstration Steps:**\n",
+    "\n",
+    "This demonstration consists of the following steps (split accross separate notebooks):\n",
+    "\n",
+    "1. [Previous notebook](examples\\demo.ipynb): Installation and usage of `mobile-env` with dummy actions\n",
+    "2. [Previous notebook](examples\\demo.ipynb): Configuration of `mobile-env` and adjustment of the observation space (optional)\n",
+    "3. [Previous notebook](examples\\demo.ipynb): Training a single-agent reinforcement learning approach with [`stable-baselines3`](https://github.com/DLR-RM/stable-baselines3)\n",
+    "4. **This notebook:** Training a multi-agent reinforcement learning approach with [Ray RLlib](https://docs.ray.io/en/latest/rllib.html)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 4: Multi-Agent RL with Ray RLlib\n",
+    "\n",
+    "As alternative to controlling cell selection centrally for all users from a single RL agent, we can also use multi-agent RL, i.e., delegating control to multiple agents that act in parallel.\n",
+    "As an example, we could have each RL agent responsible for the cell selection of a single user. Then we would need as many agents as we have users.\n",
+    "That's what happens in the predefined multi-agent scenarios, e.g., `mobile-small-ma-v0`.\n",
+    "\n",
+    "Let's use RLlib to train a multi-agent policy on the `mobile-small-ma-v0` scenario, which has three base stations and five users.\n",
+    "\n",
+    "### Set up Ray RLlib\n",
+    "\n",
+    "To train a multi-agent approach, we can use Ray RLlib, which supports multi-agent RL out of the box. To register the predefined multi-agent scenario with RLlib, `mobile-env` provides a wrapper `RLlibMAWrapper`. But first we need to install `mobile-env` and `ray` with RLlib:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    },
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: mobile-env in c:\\users\\stbs\\projects\\mobile-env (2.0.1)\n",
+      "Requirement already satisfied: gymnasium in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (0.26.3)\n",
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+     ]
+    }
+   ],
+   "source": [
+    "# install mobile-env\n",
+    "!pip install -U mobile-env\n",
+    "# install ray RLlib\n",
+    "!pip install ray[rllib]==2.5.1 tensorboard"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    },
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import gymnasium\n",
+    "from ray.tune.registry import register_env\n",
+    "\n",
+    "# use the mobile-env RLlib wrapper for RLlib\n",
+    "def register(config):\n",
+    "    # importing mobile_env registers the included environments\n",
+    "    import mobile_env\n",
+    "    from mobile_env.wrappers.multi_agent import RLlibMAWrapper\n",
+    "\n",
+    "    env = gymnasium.make(\"mobile-small-ma-v0\")\n",
+    "    return RLlibMAWrapper(env)\n",
+    "\n",
+    "# register the predefined scenario with RLlib\n",
+    "register_env(\"mobile-small-ma-v0\", register)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Train a PPO Multi-Agent Policy\n",
+    "\n",
+    "Now, that the predefined scenario is registered with RLlib, we can configure and train a multi-agent PPO approach on the scenario with RLlib."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-07-20 19:37:40,316\tINFO worker.py:1636 -- Started a local Ray instance.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "    <div style=\"margin-left: 50px;display: flex;flex-direction: row;align-items: center\">\n",
+       "        <h3 style=\"color: var(--jp-ui-font-color0)\">Ray</h3>\n",
+       "        <svg version=\"1.1\" id=\"ray\" width=\"3em\" viewBox=\"0 0 144.5 144.6\" style=\"margin-left: 3em;margin-right: 3em\">\n",
+       "            <g id=\"layer-1\">\n",
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+       "                    C71.6,134.6,71.7,134.6,71.8,134.6z\"/>\n",
+       "            </g>\n",
+       "        </svg>\n",
+       "        <table>\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left\"><b>Python version:</b></td>\n",
+       "                <td style=\"text-align: left\"><b>3.8.16</b></td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left\"><b>Ray version:</b></td>\n",
+       "                <td style=\"text-align: left\"><b> 2.5.1</b></td>\n",
+       "            </tr>\n",
+       "            \n",
+       "        </table>\n",
+       "    </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "RayContext(dashboard_url='', python_version='3.8.16', ray_version='2.5.1', ray_commit='a03efd9931128d387649dd48b0e4864b43d3bfb4', address_info={'node_ip_address': '127.0.0.1', 'raylet_ip_address': '127.0.0.1', 'redis_address': None, 'object_store_address': 'tcp://127.0.0.1:65204', 'raylet_socket_name': 'tcp://127.0.0.1:65308', 'webui_url': '', 'session_dir': 'C:\\\\Users\\\\stbs\\\\AppData\\\\Local\\\\Temp\\\\ray\\\\session_2023-07-20_19-37-35_782757_1624', 'metrics_export_port': 65333, 'gcs_address': '127.0.0.1:65373', 'address': '127.0.0.1:65373', 'dashboard_agent_listen_port': 52365, 'node_id': 'fa6ce4184e5597994cbf36caa55f2652f967c84071627402b86c5ea4'})"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import ray\n",
+    "\n",
+    "\n",
+    "# init ray with available CPUs (and GPUs) and init ray\n",
+    "ray.init(\n",
+    "  num_cpus=2,   # change to your available number of CPUs\n",
+    "  include_dashboard=False,\n",
+    "  ignore_reinit_error=True,\n",
+    "  log_to_driver=False,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\tensorflow_probability\\python\\__init__.py:57: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n",
+      "  if (distutils.version.LooseVersion(tf.__version__) <\n",
+      "2023-07-20 19:37:52,987\tWARNING syncer.py:222 -- You are using remote storage, but you don't have `fsspec` installed. This can lead to inefficient syncing behavior. To avoid this, install fsspec with `pip install fsspec`. Depending on your remote storage provider, consider installing the respective fsspec-package (see https://github.com/fsspec).\n",
+      "2023-07-20 19:37:52,997\tWARNING deprecation.py:50 -- DeprecationWarning: `rllib/algorithms/a3c/a3c.py` has been deprecated. Use `rllib_contrib/a3c/` instead. This will raise an error in the future!\n",
+      "2023-07-20 19:37:52,998\tWARNING deprecation.py:50 -- DeprecationWarning: `rllib/algorithms/a3c/a3c.py` has been deprecated. Use `rllib_contrib/a3c/` instead. This will raise an error in the future!\n",
+      "2023-07-20 19:37:53,185\tWARNING deprecation.py:50 -- DeprecationWarning: `rllib/algorithms/maml/maml.py` has been deprecated. Use `rllib_contrib/maml/` instead. This will raise an error in the future!\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"tuneStatus\">\n",
+       "  <div style=\"display: flex;flex-direction: row\">\n",
+       "    <div style=\"display: flex;flex-direction: column;\">\n",
+       "      <h3>Tune Status</h3>\n",
+       "      <table>\n",
+       "<tbody>\n",
+       "<tr><td>Current time:</td><td>2023-07-20 19:50:28</td></tr>\n",
+       "<tr><td>Running for: </td><td>00:12:35.37        </td></tr>\n",
+       "<tr><td>Memory:      </td><td>6.5/7.9 GiB        </td></tr>\n",
+       "</tbody>\n",
+       "</table>\n",
+       "    </div>\n",
+       "    <div class=\"vDivider\"></div>\n",
+       "    <div class=\"systemInfo\">\n",
+       "      <h3>System Info</h3>\n",
+       "      Using FIFO scheduling algorithm.<br>Logical resource usage: 2.0/2 CPUs, 0/0 GPUs\n",
+       "    </div>\n",
+       "    \n",
+       "  </div>\n",
+       "  <div class=\"hDivider\"></div>\n",
+       "  <div class=\"trialStatus\">\n",
+       "    <h3>Trial Status</h3>\n",
+       "    <table>\n",
+       "<thead>\n",
+       "<tr><th>Trial name                        </th><th>status    </th><th>loc           </th><th style=\"text-align: right;\">  iter</th><th style=\"text-align: right;\">  total time (s)</th><th style=\"text-align: right;\">   ts</th><th style=\"text-align: right;\">  reward</th><th style=\"text-align: right;\">  episode_reward_max</th><th style=\"text-align: right;\">  episode_reward_min</th><th style=\"text-align: right;\">  episode_len_mean</th></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "<tr><td>PPO_mobile-small-ma-v0_27a5b_00000</td><td>TERMINATED</td><td>127.0.0.1:9392</td><td style=\"text-align: right;\">    10</td><td style=\"text-align: right;\">         727.201</td><td style=\"text-align: right;\">40000</td><td style=\"text-align: right;\"> -43.516</td><td style=\"text-align: right;\">             61.0767</td><td style=\"text-align: right;\">             -215.01</td><td style=\"text-align: right;\">               100</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n",
+       "  </div>\n",
+       "</div>\n",
+       "<style>\n",
+       ".tuneStatus {\n",
+       "  color: var(--jp-ui-font-color1);\n",
+       "}\n",
+       ".tuneStatus .systemInfo {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       ".tuneStatus td {\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       ".tuneStatus .trialStatus {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       ".tuneStatus h3 {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       ".tuneStatus .hDivider {\n",
+       "  border-bottom-width: var(--jp-border-width);\n",
+       "  border-bottom-color: var(--jp-border-color0);\n",
+       "  border-bottom-style: solid;\n",
+       "}\n",
+       ".tuneStatus .vDivider {\n",
+       "  border-left-width: var(--jp-border-width);\n",
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+       "<div class=\"trialProgress\">\n",
+       "  <h3>Trial Progress</h3>\n",
+       "  <table>\n",
+       "<thead>\n",
+       "<tr><th>Trial name                        </th><th style=\"text-align: right;\">  agent_timesteps_total</th><th>connector_metrics                                                                                                                                            </th><th>counters                                                                                                                              </th><th>custom_metrics  </th><th>date               </th><th>done  </th><th style=\"text-align: right;\">  episode_len_mean</th><th>episode_media  </th><th style=\"text-align: right;\">  episode_reward_max</th><th style=\"text-align: right;\">  episode_reward_mean</th><th style=\"text-align: right;\">  episode_reward_min</th><th style=\"text-align: right;\">  episodes_this_iter</th><th style=\"text-align: right;\">  episodes_total</th><th>hostname   </th><th>info                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 </th><th style=\"text-align: right;\">  iterations_since_restore</th><th>node_ip  </th><th style=\"text-align: right;\">  num_agent_steps_sampled</th><th style=\"text-align: right;\">  num_agent_steps_trained</th><th style=\"text-align: right;\">  num_env_steps_sampled</th><th style=\"text-align: right;\">  num_env_steps_sampled_this_iter</th><th style=\"text-align: right;\">  num_env_steps_sampled_throughput_per_sec</th><th style=\"text-align: right;\">  num_env_steps_trained</th><th style=\"text-align: right;\">  num_env_steps_trained_this_iter</th><th style=\"text-align: right;\">  num_env_steps_trained_throughput_per_sec</th><th style=\"text-align: right;\">  num_faulty_episodes</th><th style=\"text-align: right;\">  num_healthy_workers</th><th style=\"text-align: right;\">  num_in_flight_async_reqs</th><th style=\"text-align: right;\">  num_remote_worker_restarts</th><th style=\"text-align: right;\">  num_steps_trained_this_iter</th><th>perf                                                                           </th><th style=\"text-align: right;\">  pid</th><th>policy_reward_max                   </th><th>policy_reward_mean                   </th><th>policy_reward_min        </th><th>sampler_perf                                                                                                                                                                                                  </th><th>sampler_results                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 </th><th style=\"text-align: right;\">  time_since_restore</th><th style=\"text-align: right;\">  time_this_iter_s</th><th style=\"text-align: right;\">  time_total_s</th><th>timers                                                                                                                                                        </th><th style=\"text-align: right;\">  timestamp</th><th style=\"text-align: right;\">  timesteps_total</th><th style=\"text-align: right;\">  training_iteration</th><th>trial_id   </th></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "<tr><td>PPO_mobile-small-ma-v0_27a5b_00000</td><td style=\"text-align: right;\">                 200000</td><td>{&#x27;ObsPreprocessorConnector_ms&#x27;: 0.01723766326904297, &#x27;StateBufferConnector_ms&#x27;: 0.014041662216186523, &#x27;ViewRequirementAgentConnector_ms&#x27;: 0.4468255043029785}</td><td>{&#x27;num_env_steps_sampled&#x27;: 40000, &#x27;num_env_steps_trained&#x27;: 40000, &#x27;num_agent_steps_sampled&#x27;: 200000, &#x27;num_agent_steps_trained&#x27;: 200000}</td><td>{}              </td><td>2023-07-20_19-50-28</td><td>True  </td><td style=\"text-align: right;\">               100</td><td>{}             </td><td style=\"text-align: right;\">             61.0767</td><td style=\"text-align: right;\">              -43.516</td><td style=\"text-align: right;\">             -215.01</td><td style=\"text-align: right;\">                  40</td><td style=\"text-align: right;\">             400</td><td>Lenovo-Yoga</td><td>{&#x27;learner&#x27;: 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&#x27;mean_env_render_ms&#x27;: 0.0}, &#x27;num_faulty_episodes&#x27;: 0, &#x27;connector_metrics&#x27;: {&#x27;ObsPreprocessorConnector_ms&#x27;: 0.01723766326904297, &#x27;StateBufferConnector_ms&#x27;: 0.014041662216186523, &#x27;ViewRequirementAgentConnector_ms&#x27;: 0.4468255043029785}}</td><td style=\"text-align: right;\">             727.201</td><td style=\"text-align: right;\">           72.9255</td><td style=\"text-align: right;\">       727.201</td><td>{&#x27;training_iteration_time_ms&#x27;: 72712.983, &#x27;sample_time_ms&#x27;: 32324.565, &#x27;learn_time_ms&#x27;: 40384.684, &#x27;learn_throughput&#x27;: 99.047, &#x27;synch_weights_time_ms&#x27;: 1.885}</td><td style=\"text-align: right;\"> 1689875428</td><td style=\"text-align: right;\">            40000</td><td style=\"text-align: right;\">                  10</td><td>27a5b_00000</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n",
+       "</div>\n",
+       "<style>\n",
+       ".trialProgress {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  color: var(--jp-ui-font-color1);\n",
+       "}\n",
+       ".trialProgress h3 {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       ".trialProgress td {\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-07-20 19:50:28,695\tINFO tune.py:1111 -- Total run time: 755.71 seconds (755.18 seconds for the tuning loop).\n"
+     ]
+    }
+   ],
+   "source": [
+    "import ray.air\n",
+    "from ray.rllib.algorithms.ppo import PPOConfig\n",
+    "\n",
+    "from ray.rllib.policy.policy import PolicySpec\n",
+    "from ray.tune.stopper import MaximumIterationStopper\n",
+    "\n",
+    "# Create an RLlib config using multi-agent PPO on mobile-env's small scenario.\n",
+    "config = (\n",
+    "    PPOConfig()\n",
+    "    .environment(env=\"mobile-small-ma-v0\")\n",
+    "    # Here, we configure all agents to share the same policy.\n",
+    "    .multi_agent(\n",
+    "        policies={\"shared_policy\": PolicySpec()},\n",
+    "        policy_mapping_fn=lambda agent_id, episode, worker, **kwargs: \"shared_policy\",\n",
+    "    )\n",
+    "    # RLlib needs +1 CPU than configured below (for the driver/traininer?)\n",
+    "    .resources(num_cpus_per_worker=1)\n",
+    "    .rollouts(num_rollout_workers=1)\n",
+    ")\n",
+    "\n",
+    "# Create the Trainer/Tuner and define how long to train\n",
+    "tuner = ray.tune.Tuner(\n",
+    "    \"PPO\",\n",
+    "    run_config=ray.air.RunConfig(\n",
+    "        # Save the training progress and checkpoints locally under the specified subfolder.\n",
+    "        storage_path=\"./results_rllib\",\n",
+    "        # Control training length by setting the number of iterations. 1 iter = 4000 time steps by default.\n",
+    "        stop=MaximumIterationStopper(max_iter=10),\n",
+    "        checkpoint_config=ray.air.CheckpointConfig(checkpoint_at_end=True),\n",
+    "    ),\n",
+    "    param_space=config,\n",
+    ")\n",
+    "\n",
+    "# Run training and save the result\n",
+    "result_grid = tuner.fit()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can check the learning curve on TensorBoard. The corresponding files are in the configured `save_dir=results_rllib`.\n",
+    "\n",
+    "The \"episode_reward_mean\" should increase with increasing training, indicating that the agent is learning. RLlib also logs many other metrics by default, which can be useful for debugging. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Reusing TensorBoard on port 6006 (pid 17908), started 1:04:08 ago. (Use '!kill 17908' to kill it.)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "      <iframe id=\"tensorboard-frame-ea5a8479386e8cba\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
+       "      </iframe>\n",
+       "      <script>\n",
+       "        (function() {\n",
+       "          const frame = document.getElementById(\"tensorboard-frame-ea5a8479386e8cba\");\n",
+       "          const url = new URL(\"http://localhost\");\n",
+       "          const port = 6006;\n",
+       "          if (port) {\n",
+       "            url.port = port;\n",
+       "          }\n",
+       "          frame.src = url;\n",
+       "        })();\n",
+       "      </script>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%load_ext tensorboard\n",
+    "%tensorboard --logdir results_rllib"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load and Test the Trained Multi-Agent Policy\n",
+    "\n",
+    "Let's load the trained multi-agent model and visualize the learned multi-agent policy:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-07-20 19:50:28,817\tWARNING algorithm_config.py:643 -- Cannot create PPOConfig from given `config_dict`! Property __stdout_file__ not supported.\n",
+      "c:\\Users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\ray\\rllib\\algorithms\\algorithm.py:442: RayDeprecationWarning: This API is deprecated and may be removed in future Ray releases. You could suppress this warning by setting env variable PYTHONWARNINGS=\"ignore::DeprecationWarning\"\n",
+      "`UnifiedLogger` will be removed in Ray 2.7.\n",
+      "  return UnifiedLogger(config, logdir, loggers=None)\n",
+      "c:\\Users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\ray\\tune\\logger\\unified.py:53: RayDeprecationWarning: This API is deprecated and may be removed in future Ray releases. You could suppress this warning by setting env variable PYTHONWARNINGS=\"ignore::DeprecationWarning\"\n",
+      "The `JsonLogger interface is deprecated in favor of the `ray.tune.json.JsonLoggerCallback` interface and will be removed in Ray 2.7.\n",
+      "  self._loggers.append(cls(self.config, self.logdir, self.trial))\n",
+      "c:\\Users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\ray\\tune\\logger\\unified.py:53: RayDeprecationWarning: This API is deprecated and may be removed in future Ray releases. You could suppress this warning by setting env variable PYTHONWARNINGS=\"ignore::DeprecationWarning\"\n",
+      "The `CSVLogger interface is deprecated in favor of the `ray.tune.csv.CSVLoggerCallback` interface and will be removed in Ray 2.7.\n",
+      "  self._loggers.append(cls(self.config, self.logdir, self.trial))\n",
+      "c:\\Users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\ray\\tune\\logger\\unified.py:53: RayDeprecationWarning: This API is deprecated and may be removed in future Ray releases. You could suppress this warning by setting env variable PYTHONWARNINGS=\"ignore::DeprecationWarning\"\n",
+      "The `TBXLogger interface is deprecated in favor of the `ray.tune.tensorboardx.TBXLoggerCallback` interface and will be removed in Ray 2.7.\n",
+      "  self._loggers.append(cls(self.config, self.logdir, self.trial))\n",
+      "2023-07-20 19:50:28,835\tINFO algorithm.py:536 -- Current log_level is WARN. For more information, set 'log_level': 'INFO' / 'DEBUG' or use the -v and -vv flags.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-07-20 19:50:42,626\tINFO trainable.py:173 -- Trainable.setup took 13.794 seconds. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.\n",
+      "2023-07-20 19:50:42,634\tWARNING util.py:68 -- Install gputil for GPU system monitoring.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from ray.rllib.algorithms.algorithm import Algorithm\n",
+    "\n",
+    "# load the trained agent from the stored checkpoint\n",
+    "best_result = result_grid.get_best_result(metric=\"episode_reward_mean\", mode=\"max\")\n",
+    "ppo = Algorithm.from_checkpoint(best_result.checkpoint)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import mobile_env\n",
+    "import matplotlib.pyplot as plt\n",
+    "from IPython import display\n",
+    "\n",
+    "# create the env for testing\n",
+    "# pass rgb_array as render mode so the env can be rendered inside the notebook\n",
+    "env = gymnasium.make(\"mobile-small-ma-v0\", render_mode=\"rgb_array\")\n",
+    "obs, info = env.reset()\n",
+    "done = False\n",
+    "\n",
+    "# run one episode with the trained model\n",
+    "while not done:\n",
+    "    # gather action from each actor (for each UE)\n",
+    "    action = {}\n",
+    "    for agent_id, agent_obs in obs.items():\n",
+    "        # compute the action for the given agent using the shared policy\n",
+    "        action[agent_id] = ppo.compute_single_action(agent_obs, policy_id=\"shared_policy\")\n",
+    "\n",
+    "    # apply actions and perform step on simulation environment\n",
+    "    obs, reward, terminated, truncated, info = env.step(action)\n",
+    "    done = terminated or truncated\n",
+    "\n",
+    "    # render environment as RGB\n",
+    "    plt.imshow(env.render())\n",
+    "    display.display(plt.gcf())\n",
+    "    display.clear_output(wait=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "While the learned policy is not yet perfect (the reward is still increasing, i.e., agent is still learning), the visualization shows that most users are connected to suitable cells.\n",
+    "\n",
+    "Feel free to experiment more with `mobile-env`, e.g., by training longer or customizing the environment.\n",
+    "The [documentation](https://mobile-env.readthedocs.io/en/latest/) provides further information about the API.\n",
+    "If you still have open questions or run into issues, you can [open an issue on GitHub](https://github.com/stefanbschneider/mobile-env/issues).\n",
+    "\n",
+    "We hope `mobile-env` is useful for you. If you use `mobile-env`, please cite it and let us know - then we can list your work on `mobile-env`'s Readme.\n",
+    "We also very much appreciate contributions in the form of pull requests.\n",
+    "\n",
+    "```\n",
+    "@inproceedings{schneider2022mobileenv,\n",
+    "  author = {Schneider, Stefan and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl, Holger},\n",
+    "  title = {mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks},\n",
+    "  booktitle={Network Operations and Management Symposium (NOMS)},\n",
+    "  year = {2022},\n",
+    "  publisher = {IEEE/IFIP},\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "Happy training/learning!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}