GitHub Actions build openturns/otbenchmark 10961103055

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diff --git a/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_001.png b/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_001.png
diff --git a/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_002.png b/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_002.png
diff --git a/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_003.png b/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_003.png
diff --git a/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_004.png b/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_004.png
diff --git a/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_005.png b/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_005.png
diff --git a/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_thumb.png b/otbenchmark/master/_images/sphx_glr_plot_uncecomp_ot_examples_thumb.png
diff --git a/...aster/_sources/auto_examples/plot_check_reliability_reference_probabilities.rst b/...aster/_sources/auto_examples/plot_check_reliability_reference_probabilities.rst
@@ -644,7 +644,7 @@ in absolute value, to the Monte-Carlo estimator.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.272 seconds)
+   **Total running time of the script:** (0 minutes 0.295 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_check_reliability_reference_probabilities.py:

diff --git a/otbenchmark/master/_sources/auto_examples/plot_conditionaldistribution.rst b/otbenchmark/master/_sources/auto_examples/plot_conditionaldistribution.rst
@@ -242,7 +242,7 @@ Create a Punk distribution
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 4.559 seconds)
+   **Total running time of the script:** (0 minutes 5.100 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_conditionaldistribution.py:

diff --git a/otbenchmark/master/_sources/auto_examples/plot_convergence_reliability_mc.rst b/otbenchmark/master/_sources/auto_examples/plot_convergence_reliability_mc.rst
diff --git a/otbenchmark/master/_sources/auto_examples/plot_crosscut_distribution_2d.rst b/otbenchmark/master/_sources/auto_examples/plot_crosscut_distribution_2d.rst
@@ -152,7 +152,7 @@ Plot cross-cuts of the distribution
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.706 seconds)
+   **Total running time of the script:** (0 minutes 4.037 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_crosscut_distribution_2d.py:

diff --git a/otbenchmark/master/_sources/auto_examples/plot_crosscut_distribution_3d.rst b/otbenchmark/master/_sources/auto_examples/plot_crosscut_distribution_3d.rst
@@ -146,7 +146,7 @@ Print the iso-values of the distribution
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 4.740 seconds)
+   **Total running time of the script:** (0 minutes 8.328 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_crosscut_distribution_3d.py:

diff --git a/otbenchmark/master/_sources/auto_examples/plot_crosscut_function.rst b/otbenchmark/master/_sources/auto_examples/plot_crosscut_function.rst
@@ -213,7 +213,7 @@ Let :math:`\bar{x}\in\mathbb{R}^3` be the reference point.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.239 seconds)
+   **Total running time of the script:** (0 minutes 0.796 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_crosscut_function.py:

diff --git a/otbenchmark/master/_sources/auto_examples/plot_lognormal_bbrc.rst b/otbenchmark/master/_sources/auto_examples/plot_lognormal_bbrc.rst
@@ -453,7 +453,7 @@ This corresponds to the following code and comments:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.218 seconds)
+   **Total running time of the script:** (0 minutes 0.322 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_lognormal_bbrc.py:

diff --git a/otbenchmark/master/_sources/auto_examples/plot_methodFactory.rst b/otbenchmark/master/_sources/auto_examples/plot_methodFactory.rst
@@ -331,7 +331,7 @@ Create a LHS algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.847 seconds)
+   **Total running time of the script:** (0 minutes 4.483 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_methodFactory.py:

diff --git a/otbenchmark/master/_sources/auto_examples/plot_uncecomp_ot_examples.rst b/otbenchmark/master/_sources/auto_examples/plot_uncecomp_ot_examples.rst
@@ -479,15 +479,15 @@ ThresholdEvent
 
  .. code-block:: none
 
-    Pf =  0.1497584541062803
+    Pf =  0.15619223659889064
 
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.290 seconds)
+   **Total running time of the script:** (0 minutes 1.445 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_uncecomp_ot_examples.py:

diff --git a/otbenchmark/master/_sources/auto_examples/reliability_problems/plot_case_rs.rst b/otbenchmark/master/_sources/auto_examples/reliability_problems/plot_case_rs.rst
@@ -436,7 +436,7 @@ Print the iso-values of the distribution
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.642 seconds)
+   **Total running time of the script:** (0 minutes 2.501 seconds)
 
 
 .. _sphx_glr_download_auto_examples_reliability_problems_plot_case_rs.py:

diff --git a/.../_sources/auto_examples/reliability_problems/plot_compute_reference_rp55_pf.rst b/.../_sources/auto_examples/reliability_problems/plot_compute_reference_rp55_pf.rst
@@ -417,10 +417,10 @@ From integration
     <table>
       <tr><td></td><th>y0</th></tr>
       <tr><th>0</th><td>0.25</td></tr>
-      <tr><th>1</th><td>0.25</td></tr>
-      <tr><th>2</th><td>0</td></tr>
+      <tr><th>1</th><td>0</td></tr>
+      <tr><th>2</th><td>0.25</td></tr>
       <tr><th>3</th><td>0</td></tr>
-      <tr><th>4</th><td>0</td></tr>
+      <tr><th>4</th><td>0.25</td></tr>
     </table>
     </div>
     <br />
@@ -1049,7 +1049,7 @@ The area of each polygon is computed based on the shapely module.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.636 seconds)
+   **Total running time of the script:** (0 minutes 3.666 seconds)
 
 
 .. _sphx_glr_download_auto_examples_reliability_problems_plot_compute_reference_rp55_pf.py:

diff --git a/...es/auto_examples/reliability_problems/plot_four_branch_serial_system_waarts.rst b/...es/auto_examples/reliability_problems/plot_four_branch_serial_system_waarts.rst
diff --git a/...ster/_sources/auto_examples/reliability_problems/plot_reliability_benchmark.rst b/...ster/_sources/auto_examples/reliability_problems/plot_reliability_benchmark.rst
@@ -246,7 +246,7 @@ The LHS method
  .. code-block:: none
 
 
-    'computedProbability = 0.000800000000000001\nexactProbability = 0.0007897927545597477\nabsoluteError = 1.0207245440253332e-05\nnumberOfCorrectDigits = 1.8886045874596635\nnumberOfFunctionEvaluations = 10000\nnumberOfDigitsPerEvaluation = 0.00018886045874596635'
+    'computedProbability = 0.0010000000000000015\nexactProbability = 0.0007897927545597477\nabsoluteError = 0.00021020724544025386\nnumberOfCorrectDigits = 0.5748654640190062\nnumberOfFunctionEvaluations = 10000\nnumberOfDigitsPerEvaluation = 5.748654640190062e-05'
 
 
 
@@ -271,7 +271,7 @@ The MonteCarloSampling method
  .. code-block:: none
 
 
-    'computedProbability = 0.0006000000000000008\nexactProbability = 0.0007897927545597477\nabsoluteError = 0.00018979275455974687\nnumberOfCorrectDigits = 0.619233516283543\nnumberOfFunctionEvaluations = 10000\nnumberOfDigitsPerEvaluation = 6.192335162835429e-05'
+    'computedProbability = 0.0006999999999999989\nexactProbability = 0.0007897927545597477\nabsoluteError = 8.979275455974877e-05\nnumberOfCorrectDigits = 0.9442718507112009\nnumberOfFunctionEvaluations = 10000\nnumberOfDigitsPerEvaluation = 9.442718507112009e-05'
 
 
 
@@ -296,7 +296,7 @@ The FORM - Importance Sampling method
  .. code-block:: none
 
 
-    'computedProbability = 0.0007350753178889453\nexactProbability = 0.0007897927545597477\nabsoluteError = 5.471743667080241e-05\nnumberOfCorrectDigits = 1.1593874013240713\nnumberOfFunctionEvaluations = 431\nnumberOfDigitsPerEvaluation = 0.0026899939705894924'
+    'computedProbability = 0.0008920899682800784\nexactProbability = 0.0007897927545597477\nabsoluteError = 0.00010229721372033071\nnumberOfCorrectDigits = 0.8876493403163297\nnumberOfFunctionEvaluations = 527\nnumberOfDigitsPerEvaluation = 0.0016843440992719727'
 
 
 
@@ -321,7 +321,7 @@ The Subset method
  .. code-block:: none
 
 
-    'computedProbability = 0.000630630000000001\nexactProbability = 0.0007897927545597477\nabsoluteError = 0.00015916275455974674\nnumberOfCorrectDigits = 0.6956716985835134\nnumberOfFunctionEvaluations = 4000\nnumberOfDigitsPerEvaluation = 0.00017391792464587836'
+    'computedProbability = 0.0009620000000000002\nexactProbability = 0.0007897927545597477\nabsoluteError = 0.0001722072454402525\nnumberOfCorrectDigits = 0.6614617252769386\nnumberOfFunctionEvaluations = 4000\nnumberOfDigitsPerEvaluation = 0.00016536543131923464'
 
 
 
@@ -450,10 +450,10 @@ In addition, it returns the performance of these methods.
     Exact probability: 0.0007897927545597477
     ------------------------------------------------------------------
     SubsetSampling
-    Estimated probability: 0.0004810000000000005
+    Estimated probability: 0.0007820000000000007
     Number of function calls: 4000
-    Number of correct digits=0.4
-    Performance=1.02e-04 (correct digits/evaluation)
+    Number of correct digits=2.0
+    Performance=5.01e-04 (correct digits/evaluation)
     ------------------------------------------------------------------
     FORM
     Estimated probability: 0.000659887791408224
@@ -468,16 +468,16 @@ In addition, it returns the performance of these methods.
     Performance=2.65e-01 (correct digits/evaluation)
     ------------------------------------------------------------------
     FORM-IS
-    Estimated probability: 0.0008064234778872405
-    Number of function calls: 369
-    Number of correct digits=1.7
-    Performance=4.54e-03 (correct digits/evaluation)
+    Estimated probability: 0.0008869020908211015
+    Number of function calls: 748
+    Number of correct digits=0.9
+    Performance=1.22e-03 (correct digits/evaluation)
     ------------------------------------------------------------------
     MonteCarloSampling
-    Estimated probability: 0.0006000000000000008
+    Estimated probability: 0.0012000000000000016
     Number of function calls: 10000
-    Number of correct digits=0.6
-    Performance=6.19e-05 (correct digits/evaluation)
+    Number of correct digits=0.3
+    Performance=2.85e-05 (correct digits/evaluation)
     ------------------------------------------------------------------
     LHS
     Estimated probability: 0.0
@@ -487,17 +487,17 @@ In addition, it returns the performance of these methods.
     ------------------------------------------------------------------------
     Scoring by number of correct digits
     5 : LHS (0.0)
-    0 : SubsetSampling (0.4)
-    4 : MonteCarloSampling (0.6)
+    4 : MonteCarloSampling (0.3)
     1 : FORM (0.8)
-    3 : FORM-IS (1.7)
+    3 : FORM-IS (0.9)
+    0 : SubsetSampling (2.0)
     2 : SORM (2.1)
     ------------------------------------------------------------------------
     Scoring by performance (digits/evaluation)
     5 : LHS (0.0e+00)
-    4 : MonteCarloSampling (6.2e-05)
-    0 : SubsetSampling (1.0e-04)
-    3 : FORM-IS (4.5e-03)
+    4 : MonteCarloSampling (2.8e-05)
+    0 : SubsetSampling (5.0e-04)
+    3 : FORM-IS (1.2e-03)
     1 : FORM (9.8e-02)
     2 : SORM (2.7e-01)
 
@@ -518,7 +518,7 @@ Remarks
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.879 seconds)
+   **Total running time of the script:** (0 minutes 2.934 seconds)
 
 
 .. _sphx_glr_download_auto_examples_reliability_problems_plot_reliability_benchmark.py: