Update documentation from github actions

FinancialApplications/_sources/index.rst.txt

@@ -83,3 +83,4 @@
 
    utils.rst
 
+

FinancialApplications/qml4var.losses.html

@@ -118,23 +118,7 @@
 <dl class="py function">
 <dt class="sig sig-object py" id="QQuantLib.qml4var.losses.compute_integral">
 <span class="sig-prename descclassname"><span class="pre">QQuantLib.qml4var.losses.</span></span><span class="sig-name descname"><span class="pre">compute_integral</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#QQuantLib.qml4var.losses.compute_integral" title="Link to this definition"></a></dt>
-<dd><dl class="simple">
-<dt>Function for computing numerical integral of inputs arrays. Considerations:</dt><dd><ul class="simple">
-<li><p>if x_array has shape(n, 1) then numpy trapz is used for computing integral.</p></li>
-<li><dl class="simple">
-<dt>if x_array has shape(n, 2) and dask_client is None numpy trapz</dt><dd><p>is used for computing the double integral.</p>
-</dd>
-</dl>
-</li>
-<li><dl class="simple">
-<dt>if x_array has shape(n, 2) and dask_client is provided then MonteCarlo</dt><dd><p>integration is used</p>
-</dd>
-</dl>
-</li>
-<li><p>if x_array has shape(n, &gt; 2) MonteCarlo integration is used</p></li>
-</ul>
-</dd>
-</dl>
+<dd><p>Function for computing numerical integral of inputs arrays.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
@@ -153,6 +137,23 @@
 <dd class="field-odd"><p>float or future</p>
 </dd>
 </dl>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<ul class="simple">
+<li><p>if x_array has shape(n, 1) then numpy trapz is used for computing integral.</p></li>
+<li><dl class="simple">
+<dt>if x_array has shape(n, 2) and dask_client is None numpy trapz</dt><dd><p>is used for computing the double integral.</p>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>if x_array has shape(n, 2) and dask_client is provided then MonteCarlo</dt><dd><p>integration is used</p>
+</dd>
+</dl>
+</li>
+<li><p>if x_array has shape(n, &gt; 2) MonteCarlo integration is used</p></li>
+</ul>
+</div>
 </dd></dl>
 
 <dl class="py function">