Reduced the execution time of the unit tests.

mbaudin47 · Aug 23, 2023 · 2700dff · 2700dff
1 parent cb2a417
commit 2700dff
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Showing 2 changed files with 4 additions and 4 deletions.
diff --git a/lib/test/t_FunctionalChaos_conditionalExpectation.cxx b/lib/test/t_FunctionalChaos_conditionalExpectation.cxx
@@ -61,13 +61,13 @@ int main(int, char *[])
   fullprint << productBasis.__str__() << std::endl;
 
   // Create the adaptive strategy
-  UnsignedInteger degree = 12;
+  UnsignedInteger degree = 10;
   UnsignedInteger basisDimension = enumerateFunction.getBasisSizeFromTotalDegree(degree);
   FixedStrategy adaptiveStrategy(productBasis, basisDimension);
   // Create the result object here in order to test the save/load mechanism outside of the double loop
   FunctionalChaosResult result;
   // Create the projection strategy
-  UnsignedInteger samplingSize = 1000;
+  UnsignedInteger samplingSize = 500;
   // Full: ProjectionStrategy projectionStrategy{LeastSquaresStrategy()};
   // Sparse:
   FittingAlgorithm fittingAlgorithm = CorrectedLeaveOneOut();

diff --git a/python/test/t_FunctionalChaos_conditionalExpectation.py b/python/test/t_FunctionalChaos_conditionalExpectation.py
@@ -9,13 +9,13 @@
 # Create Ishigami
 im = ishigami_function.IshigamiModel()
 input_names = im.distributionX.getDescription()
-sampleSize = 1000
+sampleSize = 500
 inputSample = im.distributionX.getSample(sampleSize)
 outputSample = im.model(inputSample)
 
 # Create PCE
 multivariateBasis = ot.OrthogonalProductPolynomialFactory([im.X1, im.X2, im.X3])
-totalDegree = 12
+totalDegree = 10
 enumerateFunction = multivariateBasis.getEnumerateFunction()
 basisSize = enumerateFunction.getBasisSizeFromTotalDegree(totalDegree)
 selectionAlgorithm = ot.LeastSquaresMetaModelSelectionFactory()