GitHub Actions build openturns/otagrum 7899816306

otagrum/master/_downloads/5d5ea88ebb95e0f402b04a4daf048e90/plot_using_otagrum.ipynb

@@ -470,7 +470,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.11.6"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,

otagrum/master/_downloads/a1db101856b791da0196ee9f109a8220/plot_plant_growth.ipynb

@@ -419,7 +419,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.11.6"
+      "version": "3.11.7"
     }
   },
   "nbformat": 4,

otagrum/master/_sources/auto_examples/plot_plant_growth.rst.txt

@@ -159,7 +159,7 @@ light has 2 attributes : Dim and Bright
  .. code-block:: none
 
 
-    (pyAgrum.LabelizedVariable@0x5626f5b749a0) Light:Labelized({Dim|Bright})
+    (pyAgrum.LabelizedVariable@0x5607db35f0b0) Light:Labelized({Dim|Bright})
 
 
 
@@ -183,7 +183,7 @@ moisture has 2 attributes : Dry and Wet
  .. code-block:: none
 
 
-    (pyAgrum.LabelizedVariable@0x5626f5a1bd10) Moisture:Labelized({Dry|Wet})
+    (pyAgrum.LabelizedVariable@0x5607db2bb870) Moisture:Labelized({Dry|Wet})
 
 
 
@@ -274,7 +274,7 @@ Add arcs
  .. code-block:: none
 
 
-    (pyAgrum.BayesNet<double>@0x5626f8ebf3d0) BN{nodes: 3, arcs: 3, domainSize: 56, dim: 55, mem: 496o}
+    (pyAgrum.BayesNet<double>@0x5607de3021b0) BN{nodes: 3, arcs: 3, domainSize: 56, dim: 55, mem: 496o}
 
 
 
@@ -307,7 +307,7 @@ light conditional probability table
 
  .. code-block:: none
 
-    /usr/lib/python3.11/site-packages/pyAgrum/lib/notebook.py:1743: UserWarning: 
+    /usr/lib/python3.11/site-packages/pyAgrum/lib/notebook.py:1744: UserWarning: 
       ** pyAgrum.lib.notebook has to be imported from an IPython's instance (mainly notebook).
   
       warnings.warn("""
@@ -468,7 +468,7 @@ Variability of the plant growth on my balcony
 
     Probability (height > 40cm) =  0.32857134257593257
 
-    <openturns.viewer.View object at 0x7fe56fb75110>
+    <openturns.viewer.View object at 0x7f626c705710>
 
 
 
@@ -515,7 +515,7 @@ Variability of the plant growth in my cellar
 
     Probability (height > 40cm)|Light=Dim =  0.11428571428571432
 
-    <openturns.viewer.View object at 0x7fe55d8df850>
+    <openturns.viewer.View object at 0x7f6264708750>
 
 
 
@@ -562,7 +562,7 @@ Variability of the plant growth when the atmosphere is very wet
 
     Probability (height > 40cm)|Moisture=Wet =  0.6571426851518651
 
-    <openturns.viewer.View object at 0x7fe5581b47d0>
+    <openturns.viewer.View object at 0x7f62759fcb90>
 
 
 
@@ -593,7 +593,7 @@ Get the distribution of the variable "Light"
 
     UserDefined({x = [0], p = 0.4}, {x = [1], p = 0.6})
 
-    <openturns.viewer.View object at 0x7fe5581c8190>
+    <openturns.viewer.View object at 0x7f626c711190>
 
 
 
@@ -629,7 +629,7 @@ Get the joint distribution [H, M]
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.440 seconds)
+   **Total running time of the script:** (0 minutes 0.446 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_plant_growth.py:

otagrum/master/_sources/auto_examples/plot_using_otagrum.rst.txt

@@ -139,7 +139,7 @@ To do so, we need a NamedDAG structure...
  .. code-block:: none
 
 
-    (pyAgrum.DAG@0x7fe54c088aa0) {0,1,2,3} , {2->3,0->2,1->2}
+    (pyAgrum.DAG@0x5607ddf4d4e0) {0,1,2,3} , {2->3,0->2,1->2}
 
 
 
@@ -293,7 +293,7 @@ We first learn the skeleton, that is the undirected structure.
  .. code-block:: none
 
 
-    (pyAgrum.UndiGraph@0x5626f87fd380) {0,1,2,3} , {2--3,0--2,1--2}
+    (pyAgrum.UndiGraph@0x5607ddec4ef0) {0,1,2,3} , {2--3,0--2,1--2}
 
 
 
@@ -330,7 +330,7 @@ Then we look for the v-structures, leading to a Partially Directed Acyclic Graph
  .. code-block:: none
 
 
-    (pyAgrum.MixedGraph@0x5626f858d730) {0,1,2,3} , {1->2,0->2} , {2--3}
+    (pyAgrum.MixedGraph@0x5607de353070) {0,1,2,3} , {1->2,0->2} , {2--3}
 
 
 
@@ -460,7 +460,7 @@ As with PC algorithm we can learn the skeleton, PDAG and DAG using
  .. code-block:: none
 
 
-    (pyAgrum.UndiGraph@0x5626f87b89d0) {0,1,2,3} , {2--3,0--2,1--2}
+    (pyAgrum.UndiGraph@0x5607ddf202d0) {0,1,2,3} , {2--3,0--2,1--2}
 
 
 
@@ -494,7 +494,7 @@ As with PC algorithm we can learn the skeleton, PDAG and DAG using
  .. code-block:: none
 
 
-    (pyAgrum.MixedGraph@0x5626f8581040) {0,1,2,3} , {2->3,1->2,0->2} , {}
+    (pyAgrum.MixedGraph@0x5607dd8c7580) {0,1,2,3} , {2->3,1->2,0->2} , {}
 
 
 
@@ -647,7 +647,7 @@ And compare the mean loglikelihood between the true and the learned models
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.215 seconds)
+   **Total running time of the script:** (0 minutes 0.211 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_using_otagrum.py:

otagrum/master/_sources/auto_examples/sg_execution_times.rst.txt

@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:00.655** total execution time for 2 files **from auto_examples**:
+**00:00.658** total execution time for 2 files **from auto_examples**:
 
 .. container::
 
@@ -33,8 +33,8 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_plant_growth.py` (``plot_plant_growth.py``)
-     - 00:00.440
+     - 00:00.446
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_using_otagrum.py` (``plot_using_otagrum.py``)
-     - 00:00.215
+     - 00:00.211
      - 0.0

otagrum/master/_sources/sg_execution_times.rst.txt

@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:00.655** total execution time for 2 files **from all galleries**:
+**00:00.658** total execution time for 2 files **from all galleries**:
 
 .. container::
 
@@ -33,8 +33,8 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_plant_growth.py` (``examples/plot_plant_growth.py``)
-     - 00:00.440
+     - 00:00.446
      - 0.0
    * - :ref:`sphx_glr_auto_examples_plot_using_otagrum.py` (``examples/plot_using_otagrum.py``)
-     - 00:00.215
+     - 00:00.211
      - 0.0

otagrum/master/auto_examples/plot_plant_growth.html

@@ -139,15 +139,15 @@ <h3>Navigation</h3>
 <span class="n">light</span><span class="o">.</span><span class="n">addLabel</span><span class="p">(</span><span class="s2">&quot;Bright&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.LabelizedVariable@0x5626f5b749a0) Light:Labelized({Dim|Bright})
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.LabelizedVariable@0x5607db35f0b0) Light:Labelized({Dim|Bright})
 </pre></div>
 </div>
 <p>moisture has 2 attributes : Dry and Wet</p>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">moisture</span><span class="o">.</span><span class="n">addLabel</span><span class="p">(</span><span class="s2">&quot;Dry&quot;</span><span class="p">)</span>
 <span class="n">moisture</span><span class="o">.</span><span class="n">addLabel</span><span class="p">(</span><span class="s2">&quot;Wet&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.LabelizedVariable@0x5626f5a1bd10) Moisture:Labelized({Dry|Wet})
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.LabelizedVariable@0x5607db2bb870) Moisture:Labelized({Dry|Wet})
 </pre></div>
 </div>
 <p>height is a discretized variable</p>
@@ -177,7 +177,7 @@ <h3>Navigation</h3>
 <span class="n">bn</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.BayesNet&lt;double&gt;@0x5626f8ebf3d0) BN{nodes: 3, arcs: 3, domainSize: 56, dim: 55, mem: 496o}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.BayesNet&lt;double&gt;@0x5607de3021b0) BN{nodes: 3, arcs: 3, domainSize: 56, dim: 55, mem: 496o}
 </pre></div>
 </div>
 <p>The next step is the quantification of the Bayes net.</p>
@@ -194,7 +194,7 @@ <h3>Navigation</h3>
 <span class="n">showPotential</span><span class="p">(</span><span class="n">bn</span><span class="o">.</span><span class="n">cpt</span><span class="p">(</span><span class="n">indexLight</span><span class="p">))</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/lib/python3.11/site-packages/pyAgrum/lib/notebook.py:1743: UserWarning:
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/usr/lib/python3.11/site-packages/pyAgrum/lib/notebook.py:1744: UserWarning:
   ** pyAgrum.lib.notebook has to be imported from an IPython&#39;s instance (mainly notebook).
 
   warnings.warn(&quot;&quot;&quot;
@@ -287,7 +287,7 @@ <h3>Navigation</h3>
 </div>
 <img src="../_images/sphx_glr_plot_plant_growth_001.png" srcset="../_images/sphx_glr_plot_plant_growth_001.png" alt="Height PDF" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Probability (height &gt; 40cm) =  0.32857134257593257
 
-&lt;openturns.viewer.View object at 0x7fe56fb75110&gt;
+&lt;openturns.viewer.View object at 0x7f626c705710&gt;
 </pre></div>
 </div>
 <p>Variability of the plant growth in my cellar</p>
@@ -303,7 +303,7 @@ <h3>Navigation</h3>
 </div>
 <img src="../_images/sphx_glr_plot_plant_growth_002.png" srcset="../_images/sphx_glr_plot_plant_growth_002.png" alt="Height|Light=Dim PDF" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Probability (height &gt; 40cm)|Light=Dim =  0.11428571428571432
 
-&lt;openturns.viewer.View object at 0x7fe55d8df850&gt;
+&lt;openturns.viewer.View object at 0x7f6264708750&gt;
 </pre></div>
 </div>
 <p>Variability of the plant growth when the atmosphere is very wet</p>
@@ -319,7 +319,7 @@ <h3>Navigation</h3>
 </div>
 <img src="../_images/sphx_glr_plot_plant_growth_003.png" srcset="../_images/sphx_glr_plot_plant_growth_003.png" alt="Height|Moisture=Wet PDF" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Probability (height &gt; 40cm)|Moisture=Wet =  0.6571426851518651
 
-&lt;openturns.viewer.View object at 0x7fe5581b47d0&gt;
+&lt;openturns.viewer.View object at 0x7f62759fcb90&gt;
 </pre></div>
 </div>
 <p>Get the distribution of the variable “Light”</p>
@@ -330,7 +330,7 @@ <h3>Navigation</h3>
 </div>
 <img src="../_images/sphx_glr_plot_plant_growth_004.png" srcset="../_images/sphx_glr_plot_plant_growth_004.png" alt="Light PDF" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>UserDefined({x = [0], p = 0.4}, {x = [1], p = 0.6})
 
-&lt;openturns.viewer.View object at 0x7fe5581c8190&gt;
+&lt;openturns.viewer.View object at 0x7f626c711190&gt;
 </pre></div>
 </div>
 <p>Get the joint distribution [H, M]</p>
@@ -347,7 +347,7 @@ <h3>Navigation</h3>
 UserDefined({x = [0], p = 0.5}, {x = [1], p = 0.5})
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.440 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.446 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-plant-growth-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a1db101856b791da0196ee9f109a8220/plot_plant_growth.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_plant_growth.ipynb</span></code></a></p>

otagrum/master/auto_examples/plot_using_otagrum.html

@@ -97,7 +97,7 @@ <h3>Navigation</h3>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">dag</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.DAG@0x7fe54c088aa0) {0,1,2,3} , {2-&gt;3,0-&gt;2,1-&gt;2}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.DAG@0x5607ddf4d4e0) {0,1,2,3} , {2-&gt;3,0-&gt;2,1-&gt;2}
 </pre></div>
 </div>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">structure</span> <span class="o">=</span> <span class="n">otagrum</span><span class="o">.</span><span class="n">NamedDAG</span><span class="p">(</span><span class="n">dag</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="n">mapping</span><span class="o">.</span><span class="n">keys</span><span class="p">()))</span>
@@ -145,7 +145,7 @@ <h3>Navigation</h3>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">skeleton</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.UndiGraph@0x5626f87fd380) {0,1,2,3} , {2--3,0--2,1--2}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.UndiGraph@0x5607ddec4ef0) {0,1,2,3} , {2--3,0--2,1--2}
 </pre></div>
 </div>
 <p>Then we look for the v-structures, leading to a Partially Directed Acyclic Graph (PDAG)</p>
@@ -155,7 +155,7 @@ <h3>Navigation</h3>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">pdag</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.MixedGraph@0x5626f858d730) {0,1,2,3} , {1-&gt;2,0-&gt;2} , {2--3}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.MixedGraph@0x5607de353070) {0,1,2,3} , {1-&gt;2,0-&gt;2} , {2--3}
 </pre></div>
 </div>
 <p>Finally, the remaining edges are oriented by propagating constraints</p>
@@ -201,7 +201,7 @@ <h3>Navigation</h3>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">skeleton</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.UndiGraph@0x5626f87b89d0) {0,1,2,3} , {2--3,0--2,1--2}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.UndiGraph@0x5607ddf202d0) {0,1,2,3} , {2--3,0--2,1--2}
 </pre></div>
 </div>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">pdag</span> <span class="o">=</span> <span class="n">learner</span><span class="o">.</span><span class="n">learnPDAG</span><span class="p">()</span>
@@ -210,7 +210,7 @@ <h3>Navigation</h3>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">pdag</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.MixedGraph@0x5626f8581040) {0,1,2,3} , {2-&gt;3,1-&gt;2,0-&gt;2} , {}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>(pyAgrum.MixedGraph@0x5607dd8c7580) {0,1,2,3} , {2-&gt;3,1-&gt;2,0-&gt;2} , {}
 </pre></div>
 </div>
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">dag</span> <span class="o">=</span> <span class="n">learner</span><span class="o">.</span><span class="n">learnDAG</span><span class="p">()</span>
@@ -267,7 +267,7 @@ <h3>Navigation</h3>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>0.15241697100666607
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.215 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.211 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-using-otagrum-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/5d5ea88ebb95e0f402b04a4daf048e90/plot_using_otagrum.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_using_otagrum.ipynb</span></code></a></p>

otagrum/master/auto_examples/sg_execution_times.html

@@ -40,7 +40,7 @@ <h3>Navigation</h3>
 
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>00:00.655</strong> total execution time for 2 files <strong>from auto_examples</strong>:</p>
+<p><strong>00:00.658</strong> total execution time for 2 files <strong>from auto_examples</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -62,11 +62,11 @@ <h3>Navigation</h3>
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_plant_growth.html#sphx-glr-auto-examples-plot-plant-growth-py"><span class="std std-ref">Plant growth</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_plant_growth.py</span></code>)</p></td>
-<td><p>00:00.440</p></td>
+<td><p>00:00.446</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_using_otagrum.html#sphx-glr-auto-examples-plot-using-otagrum-py"><span class="std std-ref">Using otagrum</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_using_otagrum.py</span></code>)</p></td>
-<td><p>00:00.215</p></td>
+<td><p>00:00.211</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>

otagrum/master/genindex.html

@@ -1385,7 +1385,7 @@ <h3>Navigation</h3>
     </div>
     <div class="footer" role="contentinfo">
     &#169; Copyright 2022, Airbus-EDF-IMACS-Phimeca.
-      Last updated on Jan 15, 2024.
+      Last updated on Feb 14, 2024.
       Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 7.2.6.
     </div>
   </body>

otagrum/master/search.html

@@ -95,7 +95,7 @@ <h3>Navigation</h3>
     </div>
     <div class="footer" role="contentinfo">
     &#169; Copyright 2022, Airbus-EDF-IMACS-Phimeca.
-      Last updated on Jan 15, 2024.
+      Last updated on Feb 14, 2024.
       Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 7.2.6.
     </div>
   </body>

otagrum/master/sg_execution_times.html

@@ -40,7 +40,7 @@ <h3>Navigation</h3>
 
   <section id="computation-times">
 <span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>00:00.655</strong> total execution time for 2 files <strong>from all galleries</strong>:</p>
+<p><strong>00:00.658</strong> total execution time for 2 files <strong>from all galleries</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -62,11 +62,11 @@ <h3>Navigation</h3>
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/plot_plant_growth.html#sphx-glr-auto-examples-plot-plant-growth-py"><span class="std std-ref">Plant growth</span></a> (<code class="docutils literal notranslate"><span class="pre">examples/plot_plant_growth.py</span></code>)</p></td>
-<td><p>00:00.440</p></td>
+<td><p>00:00.446</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/plot_using_otagrum.html#sphx-glr-auto-examples-plot-using-otagrum-py"><span class="std std-ref">Using otagrum</span></a> (<code class="docutils literal notranslate"><span class="pre">examples/plot_using_otagrum.py</span></code>)</p></td>
-<td><p>00:00.215</p></td>
+<td><p>00:00.211</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>