CircleCI build openturns 15043

openturns · Nov 13, 2023 · c2c9983 · c2c9983
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diff --git a/openturns/master/_downloads/0ef2e737c16c571c8945b202ec11aae3/auto_calibration_jupyter.zip b/openturns/master/_downloads/0ef2e737c16c571c8945b202ec11aae3/auto_calibration_jupyter.zip
diff --git a/...s/master/_downloads/32764d685caaf9dcc0d31be3ef384e64/auto_functional_modeling_jupyter.zip b/...s/master/_downloads/32764d685caaf9dcc0d31be3ef384e64/auto_functional_modeling_jupyter.zip
diff --git a/...ns/master/_downloads/4df3e0c0f81319718eb3fb7cc1e6e39e/auto_functional_modeling_python.zip b/...ns/master/_downloads/4df3e0c0f81319718eb3fb7cc1e6e39e/auto_functional_modeling_python.zip
diff --git a/openturns/master/_downloads/58b7cedd7592157d47e84db4a498c83f/auto_data_analysis_jupyter.zip b/openturns/master/_downloads/58b7cedd7592157d47e84db4a498c83f/auto_data_analysis_jupyter.zip
diff --git a/...aster/_downloads/6e518ec737e8c5eb60654ad7ec3146cf/auto_probabilistic_modeling_jupyter.zip b/...aster/_downloads/6e518ec737e8c5eb60654ad7ec3146cf/auto_probabilistic_modeling_jupyter.zip
diff --git a/openturns/master/_downloads/71aec4e01968ab2c8be52211336adbb2/auto_meta_modeling_python.zip b/openturns/master/_downloads/71aec4e01968ab2c8be52211336adbb2/auto_meta_modeling_python.zip
diff --git a/...rns/master/_downloads/7263f63092b58313bb0867d9aebe4337/auto_numerical_methods_jupyter.zip b/...rns/master/_downloads/7263f63092b58313bb0867d9aebe4337/auto_numerical_methods_jupyter.zip
diff --git a/openturns/master/_downloads/80fe3267b6620cf75a9db88be1d114e9/TruncatedOverMesh.py b/openturns/master/_downloads/80fe3267b6620cf75a9db88be1d114e9/TruncatedOverMesh.py
@@ -0,0 +1,47 @@
+import openturns as ot
+import openturns.experimental as otexp
+from openturns.viewer import View
+
+ot.ResourceMap.SetAsUnsignedInteger("Distribution-DefaultIntegrationNodesNumber", 64)
+ot.ResourceMap.SetAsUnsignedInteger("Mesh-LargeSize", 0)
+
+grid = ot.GridLayout(2, 2)
+threshold = 0.2
+inVars = ["x1", "x2"]
+formula = "sin(x1)*sin(x2)"
+f = ot.SymbolicFunction(inVars, [formula])
+levelSet = ot.LevelSet(f, ot.Less(), threshold)
+xMin = [-5.0] * 2
+xMax = [5.0] * 2
+box = ot.Interval(xMin, xMax)
+mesh = ot.LevelSetMesher([51] * 2).build(levelSet, box, False)
+pdf_2d = ot.Graph("Normal distribution over a mesh, PDF", "x1", "x2", True)
+cdf_2d = ot.Graph("Normal distribution over a mesh, CDF", "x1", "x2", True)
+dist = ot.Normal([0] * 2, [2] * 2)
+distribution_2d = otexp.TruncatedOverMesh(dist, mesh)
+mesh_g = mesh.draw()
+mesh_g.setLegends([""])
+mesh_g.setTitle("Mesh of domain D={" + formula + "<=" + str(threshold) + "}")
+mesh_g.setXTitle("x1")
+mesh_g.setYTitle("x2")
+
+iso = f.draw(xMin, xMax)
+iso.setTitle("Normal sample on D")
+dr = iso.getDrawable(0)
+dr.setLevels([threshold])
+iso.setDrawables([dr])
+iso.add(ot.Cloud(distribution_2d.getSample(1500)))
+grid.setGraph(0, 0, mesh_g)
+grid.setGraph(0, 1, iso)
+
+pdf_2d.add(distribution_2d.drawPDF(xMin, xMax))
+pdf_2d.setLegends([""])
+cdf_2d.add(distribution_2d.drawCDF(xMin, xMax, [41] * 2))
+cdf_2d.setLegends([""])
+grid.setGraph(1, 0, pdf_2d)
+grid.setGraph(1, 1, cdf_2d)
+grid.setTitle("TruncatedOverMesh")
+grid.setLegendPosition("topright")
+v = View(grid)
+fig = v.getFigure()
+fig.axes[1].legend(loc="best")
diff --git a/openturns/master/_downloads/88d3828120a999fc8ca5897c5dd2db69/auto_graphs_python.zip b/openturns/master/_downloads/88d3828120a999fc8ca5897c5dd2db69/auto_graphs_python.zip
diff --git a/openturns/master/_downloads/8c708d125230cb531ff996a84d837525/UniformOverMesh.png b/openturns/master/_downloads/8c708d125230cb531ff996a84d837525/UniformOverMesh.png
diff --git a/openturns/master/_downloads/96bee7ddd2ef12aa690d50960dfbe8f6/TruncatedOverMesh.png b/openturns/master/_downloads/96bee7ddd2ef12aa690d50960dfbe8f6/TruncatedOverMesh.png
diff --git a/...ster/_downloads/a1d8d0b63d5143d9b72b4959aac7d782/auto_reliability_sensitivity_jupyter.zip b/...ster/_downloads/a1d8d0b63d5143d9b72b4959aac7d782/auto_reliability_sensitivity_jupyter.zip
diff --git a/...aster/_downloads/a748ffe095675c16859218f143b99a75/auto_reliability_sensitivity_python.zip b/...aster/_downloads/a748ffe095675c16859218f143b99a75/auto_reliability_sensitivity_python.zip
diff --git a/openturns/master/_downloads/abd4774b43e90e70bd9135cf6e27a1a2/auto_meta_modeling_jupyter.zip b/openturns/master/_downloads/abd4774b43e90e70bd9135cf6e27a1a2/auto_meta_modeling_jupyter.zip
diff --git a/...master/_downloads/bb1db896ae1deb897c7b02a1ff591375/auto_probabilistic_modeling_python.zip b/...master/_downloads/bb1db896ae1deb897c7b02a1ff591375/auto_probabilistic_modeling_python.zip
diff --git a/...urns/master/_downloads/dce365067acf481999ee410b3d643a7e/auto_numerical_methods_python.zip b/...urns/master/_downloads/dce365067acf481999ee410b3d643a7e/auto_numerical_methods_python.zip
diff --git a/openturns/master/_downloads/ee2bbb2beb44f9b3de56079b0634b808/auto_calibration_python.zip b/openturns/master/_downloads/ee2bbb2beb44f9b3de56079b0634b808/auto_calibration_python.zip
diff --git a/openturns/master/_downloads/f99df5de352604d8f438a3c4a3ea0b2c/auto_graphs_jupyter.zip b/openturns/master/_downloads/f99df5de352604d8f438a3c4a3ea0b2c/auto_graphs_jupyter.zip
diff --git a/openturns/master/_downloads/ffa9d199d7551d68b3799354df3b5bf5/auto_data_analysis_python.zip b/openturns/master/_downloads/ffa9d199d7551d68b3799354df3b5bf5/auto_data_analysis_python.zip
diff --git a/openturns/master/_images/TruncatedOverMesh.png b/openturns/master/_images/TruncatedOverMesh.png
diff --git a/openturns/master/_images/UniformOverMesh.png b/openturns/master/_images/UniformOverMesh.png
diff --git a/openturns/master/_images/sphx_glr_plot_ego_009.png b/openturns/master/_images/sphx_glr_plot_ego_009.png
diff --git a/openturns/master/_images/sphx_glr_plot_ifs_001.png b/openturns/master/_images/sphx_glr_plot_ifs_001.png
diff --git a/openturns/master/_images/sphx_glr_plot_ifs_002.png b/openturns/master/_images/sphx_glr_plot_ifs_002.png
diff --git a/openturns/master/_images/sphx_glr_plot_ifs_003.png b/openturns/master/_images/sphx_glr_plot_ifs_003.png
diff --git a/openturns/master/_images/sphx_glr_plot_ifs_004.png b/openturns/master/_images/sphx_glr_plot_ifs_004.png
diff --git a/openturns/master/_images/sphx_glr_plot_ifs_thumb.png b/openturns/master/_images/sphx_glr_plot_ifs_thumb.png
diff --git a/openturns/master/_images/sphx_glr_plot_optimization_dlib_002.png b/openturns/master/_images/sphx_glr_plot_optimization_dlib_002.png
diff --git a/openturns/master/_images/sphx_glr_plot_optimization_dlib_003.png b/openturns/master/_images/sphx_glr_plot_optimization_dlib_003.png
diff --git a/openturns/master/_images/sphx_glr_plot_pce_design_001.png b/openturns/master/_images/sphx_glr_plot_pce_design_001.png
diff --git a/openturns/master/_images/sphx_glr_plot_pce_design_thumb.png b/openturns/master/_images/sphx_glr_plot_pce_design_thumb.png
diff --git a/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_gibbs.rst.txt b/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_gibbs.rst.txt
@@ -283,7 +283,7 @@ Let us plot the posterior density.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 12.523 seconds)
+   **Total running time of the script:** (0 minutes 11.922 seconds)
 
 
 .. _sphx_glr_download_auto_calibration_bayesian_calibration_plot_gibbs.py:

diff --git a/...ces/auto_calibration/bayesian_calibration/plot_rwmh_python_distribution.rst.txt b/...ces/auto_calibration/bayesian_calibration/plot_rwmh_python_distribution.rst.txt
@@ -427,7 +427,7 @@ Plot posterior marginal plots only as prior cannot be drawn meaningfully.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 5.970 seconds)
+   **Total running time of the script:** (0 minutes 5.532 seconds)
 
 
 .. _sphx_glr_download_auto_calibration_bayesian_calibration_plot_rwmh_python_distribution.py:

diff --git a/...aster/_sources/auto_calibration/bayesian_calibration/sg_execution_times.rst.txt b/...aster/_sources/auto_calibration/bayesian_calibration/sg_execution_times.rst.txt
@@ -6,20 +6,20 @@
 
 Computation times
 =================
-**00:23.515** total execution time for **auto_calibration_bayesian_calibration** files:
+**00:22.112** total execution time for **auto_calibration_bayesian_calibration** files:
 
 +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_gibbs.py` (``plot_gibbs.py``)                                                 | 00:12.523 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_gibbs.py` (``plot_gibbs.py``)                                                 | 00:11.922 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_rwmh_python_distribution.py` (``plot_rwmh_python_distribution.py``)           | 00:05.970 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_rwmh_python_distribution.py` (``plot_rwmh_python_distribution.py``)           | 00:05.532 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_bayesian_calibration_flooding.py` (``plot_bayesian_calibration_flooding.py``) | 00:01.349 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_bayesian_calibration_flooding.py` (``plot_bayesian_calibration_flooding.py``) | 00:01.255 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_bayesian_calibration.py` (``plot_bayesian_calibration.py``)                   | 00:01.281 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_gibbs_simus.py` (``plot_gibbs_simus.py``)                                     | 00:01.094 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_gibbs_simus.py` (``plot_gibbs_simus.py``)                                     | 00:01.115 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_bayesian_calibration.py` (``plot_bayesian_calibration.py``)                   | 00:01.088 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_ackley_distribution.py` (``plot_ackley_distribution.py``)                     | 00:00.992 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_ackley_distribution.py` (``plot_ackley_distribution.py``)                     | 00:00.948 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_imh_python_distribution.py` (``plot_imh_python_distribution.py``)             | 00:00.285 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_imh_python_distribution.py` (``plot_imh_python_distribution.py``)             | 00:00.274 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/...ration/least_squares_and_gaussian_calibration/plot_calibration_chaboche.rst.txt b/...ration/least_squares_and_gaussian_calibration/plot_calibration_chaboche.rst.txt
@@ -1928,7 +1928,7 @@ Reset default settings
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 6.530 seconds)
+   **Total running time of the script:** (0 minutes 6.363 seconds)
 
 
 .. _sphx_glr_download_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_chaboche.py:

diff --git a/...least_squares_and_gaussian_calibration/plot_calibration_deflection_tube.rst.txt b/...least_squares_and_gaussian_calibration/plot_calibration_deflection_tube.rst.txt
@@ -896,7 +896,7 @@ Reset default settings
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.439 seconds)
+   **Total running time of the script:** (0 minutes 3.361 seconds)
 
 
 .. _sphx_glr_download_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_deflection_tube.py:

diff --git a/...ration/least_squares_and_gaussian_calibration/plot_calibration_flooding.rst.txt b/...ration/least_squares_and_gaussian_calibration/plot_calibration_flooding.rst.txt
@@ -1696,7 +1696,7 @@ Reset default settings
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 8.849 seconds)
+   **Total running time of the script:** (0 minutes 8.625 seconds)
 
 
 .. _sphx_glr_download_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_flooding.py:

diff --git a/...o_calibration/least_squares_and_gaussian_calibration/sg_execution_times.rst.txt b/...o_calibration/least_squares_and_gaussian_calibration/sg_execution_times.rst.txt
@@ -6,22 +6,22 @@
 
 Computation times
 =================
-**00:19.993** total execution time for **auto_calibration_least_squares_and_gaussian_calibration** files:
+**00:19.485** total execution time for **auto_calibration_least_squares_and_gaussian_calibration** files:
 
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_flooding.py` (``plot_calibration_flooding.py``)                           | 00:08.849 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_flooding.py` (``plot_calibration_flooding.py``)                           | 00:08.625 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_chaboche.py` (``plot_calibration_chaboche.py``)                           | 00:06.530 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_chaboche.py` (``plot_calibration_chaboche.py``)                           | 00:06.363 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_deflection_tube.py` (``plot_calibration_deflection_tube.py``)             | 00:03.439 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_deflection_tube.py` (``plot_calibration_deflection_tube.py``)             | 00:03.361 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_logistic.py` (``plot_calibration_logistic.py``)                           | 00:00.634 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_logistic.py` (``plot_calibration_logistic.py``)                           | 00:00.621 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_quickstart.py` (``plot_calibration_quickstart.py``)                       | 00:00.310 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_quickstart.py` (``plot_calibration_quickstart.py``)                       | 00:00.291 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_withoutobservedinputs.py` (``plot_calibration_withoutobservedinputs.py``) | 00:00.083 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_generate_chaboche.py` (``plot_generate_chaboche.py``)                                 | 00:00.074 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_generate_chaboche.py` (``plot_generate_chaboche.py``)                                 | 00:00.073 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_generate_flooding.py` (``plot_generate_flooding.py``)                                 | 00:00.073 | 0.0 MB |
+| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_generate_flooding.py` (``plot_generate_flooding.py``)                                 | 00:00.069 | 0.0 MB |
 +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/...ces/auto_data_analysis/distribution_fitting/plot_estimate_gev_fremantle.rst.txt b/...ces/auto_data_analysis/distribution_fitting/plot_estimate_gev_fremantle.rst.txt
@@ -1061,7 +1061,7 @@ improvements with respect to model tested before.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 6.180 seconds)
+   **Total running time of the script:** (0 minutes 5.864 seconds)
 
 
 .. _sphx_glr_download_auto_data_analysis_distribution_fitting_plot_estimate_gev_fremantle.py:

diff --git a/...sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_pirie.rst.txt b/...sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_pirie.rst.txt
@@ -945,11 +945,6 @@ the threshold :math:`c_{\alpha}` or if the p-value is less than the Type I error
 
 
 
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** (0 minutes 2.235 seconds)
-
-
 .. _sphx_glr_download_auto_data_analysis_distribution_fitting_plot_estimate_gev_pirie.py:
 
 .. only:: html

diff --git a/...rces/auto_data_analysis/distribution_fitting/plot_estimate_gev_racetime.rst.txt b/...rces/auto_data_analysis/distribution_fitting/plot_estimate_gev_racetime.rst.txt
@@ -1108,7 +1108,7 @@ quadratic model explains even better a large variation in the data.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 12.550 seconds)
+   **Total running time of the script:** (0 minutes 10.342 seconds)
 
 
 .. _sphx_glr_download_auto_data_analysis_distribution_fitting_plot_estimate_gev_racetime.py:

diff --git a/...a_analysis/distribution_fitting/plot_estimate_multivariate_distribution.rst.txt b/...a_analysis/distribution_fitting/plot_estimate_multivariate_distribution.rst.txt
@@ -403,7 +403,7 @@ We build joint distribution from marginal distributions and dependency structure
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 5.647 seconds)
+   **Total running time of the script:** (0 minutes 6.398 seconds)
 
 
 .. _sphx_glr_download_auto_data_analysis_distribution_fitting_plot_estimate_multivariate_distribution.py: