Deploying to gh-pages from @ 022e385 🚀

auto_examples/it/plot_entropies.html

@@ -606,7 +606,7 @@ <h2>Entropy of data sampled from an exponential distribution<a class="headerlink
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
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+<img src="../../_images/sphx_glr_plot_entropies_003.png" srcset="../../_images/sphx_glr_plot_entropies_003.png" alt="Comparison of entropy estimators when the data are sampled from a exponential distribution" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 17.157 seconds)</p>
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auto_examples/it/plot_entropies_mvar.html

@@ -581,7 +581,7 @@ <h2>Comparison of estimators<a class="headerlink" href="#comparison-of-estimator
 <span class="n">plot</span><span class="p">(</span><span class="n">h_x</span><span class="p">,</span> <span class="n">h_theoric</span><span class="p">,</span> <span class="n">n</span><span class="p">)</span>
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+<img src="../../_images/sphx_glr_plot_entropies_mvar_001.png" srcset="../../_images/sphx_glr_plot_entropies_mvar_001.png" alt="2-dimensional multivariate normal, 4-dimensional multivariate normal, 6-dimensional multivariate normal, 8-dimensional multivariate normal" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 24.547 seconds)</p>
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auto_examples/it/plot_entropy_high_dimensional.html

@@ -580,7 +580,7 @@ <h2>Entropy of data sampled from multinormal distribution<a class="headerlink" h
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 </pre></div>
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+<img src="../../_images/sphx_glr_plot_entropy_high_dimensional_001.png" srcset="../../_images/sphx_glr_plot_entropy_high_dimensional_001.png" alt="Comparison of entropy estimators when the data is high-dimensional, Mode: dense, Mode: sparse" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (22 minutes 53.701 seconds)</p>
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auto_examples/it/plot_mi.html

@@ -564,7 +564,7 @@ <h2>MI of data sampled from normal distribution<a class="headerlink" href="#mi-o
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
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+<img src="../../_images/sphx_glr_plot_mi_001.png" srcset="../../_images/sphx_glr_plot_mi_001.png" alt="Comparison of MI estimators when the data are sampled from a normal distribution" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 16.602 seconds)</p>
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auto_examples/it/plot_mi_high_dimensional.html

@@ -583,7 +583,7 @@ <h2>MI of data sampled from splitted multinormal distribution<a class="headerlin
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
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+<img src="../../_images/sphx_glr_plot_mi_high_dimensional_001.png" srcset="../../_images/sphx_glr_plot_mi_high_dimensional_001.png" alt="Comparison of MI estimators when the data is high-dimensional, Mode: dense, Mode: sparse" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (42 minutes 39.388 seconds)</p>
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auto_examples/it/sg_execution_times.html

@@ -420,7 +420,7 @@ <h1>Computation times</h1>
 
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-it-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>66:33.424</strong> total execution time for 6 files <strong>from auto_examples/it</strong>:</p>
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@@ -442,23 +442,23 @@ <h1>Computation times</h1>
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+<td><p>42:39.388</p></td>
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-<td><p>00:24.671</p></td>
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 <td><p>0.0</p></td>
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-<td><p>00:17.244</p></td>
+<td><p>00:17.157</p></td>
 <td><p>0.0</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="plot_mi.html#sphx-glr-auto-examples-it-plot-mi-py"><span class="std std-ref">Comparison of mutual-information estimators</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_mi.py</span></code>)</p></td>
-<td><p>00:16.615</p></td>
+<td><p>00:16.602</p></td>
 <td><p>0.0</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="plot_tutorial_core.html#sphx-glr-auto-examples-it-plot-tutorial-core-py"><span class="std std-ref">Introduction to core information theoretical metrics</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_tutorial_core.py</span></code>)</p></td>

auto_examples/metrics/plot_infotopo.html

@@ -486,11 +486,11 @@ <h2>Spatial spreading : the problem with the O-information<a class="headerlink"
 </pre></div>
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- 20%|██        | Oinfo (3):  1/5 [00:00&lt;00:01,    2.85it/s]
- 40%|████      | Oinfo (4):  2/5 [00:00&lt;00:00,    3.51it/s]
- 60%|██████    | Oinfo (5):  3/5 [00:01&lt;00:00,    2.83it/s]
- 80%|████████  | Oinfo (6):  4/5 [00:01&lt;00:00,    2.61it/s]
-100%|██████████| Oinfo (7):  5/5 [00:01&lt;00:00,    2.67it/s]
+ 20%|██        | Oinfo (3):  1/5 [00:00&lt;00:01,    2.89it/s]
+ 40%|████      | Oinfo (4):  2/5 [00:00&lt;00:00,    3.55it/s]
+ 60%|██████    | Oinfo (5):  3/5 [00:01&lt;00:00,    2.85it/s]
+ 80%|████████  | Oinfo (6):  4/5 [00:01&lt;00:00,    2.64it/s]
+100%|██████████| Oinfo (7):  5/5 [00:01&lt;00:00,    2.69it/s]
 </pre></div>
 </div>
 <p>Now we can plot the landscape. This landscape show the values of HOI for
@@ -543,17 +543,17 @@ <h2>Multiplet isolation using the Topological Information<a class="headerlink" h
 </pre></div>
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- 14%|█▍        | Entropy H(1):  1/7 [00:00&lt;00:00,    8.47it/s]
- 29%|██▊       | Entropy H(2):  2/7 [00:00&lt;00:00,    8.27it/s]
- 43%|████▎     | Entropy H(3):  3/7 [00:00&lt;00:00,    8.27it/s]
- 57%|█████▋    | Entropy H(4):  4/7 [00:00&lt;00:00,    8.69it/s]
- 71%|███████▏  | Entropy H(5):  5/7 [00:00&lt;00:00,    8.96it/s]
- 86%|████████▌ | Entropy H(6):  6/7 [00:00&lt;00:00,    9.19it/s]
-100%|██████████| Entropy H(7):  7/7 [00:00&lt;00:00,    9.42it/s]
+ 14%|█▍        | Entropy H(1):  1/7 [00:00&lt;00:00,    8.54it/s]
+ 29%|██▊       | Entropy H(2):  2/7 [00:00&lt;00:00,    8.35it/s]
+ 43%|████▎     | Entropy H(3):  3/7 [00:00&lt;00:00,    8.42it/s]
+ 57%|█████▋    | Entropy H(4):  4/7 [00:00&lt;00:00,    8.83it/s]
+ 71%|███████▏  | Entropy H(5):  5/7 [00:00&lt;00:00,    9.11it/s]
+ 86%|████████▌ | Entropy H(6):  6/7 [00:00&lt;00:00,    9.26it/s]
+100%|██████████| Entropy H(7):  7/7 [00:00&lt;00:00,    9.50it/s]
 
 
   0%|          |  0/99 [00:00&lt;?,       ?it/s]
-100%|██████████| Mutual information:  99/99 [00:00&lt;00:00, 146778.40it/s]
+100%|██████████| Mutual information:  99/99 [00:00&lt;00:00, 152436.16it/s]
 </pre></div>
 </div>
 <p>Again, we can plot the landscape. This time, as we can see, there’s no more
@@ -587,7 +587,7 @@ <h2>Multiplet isolation using the Topological Information<a class="headerlink" h
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