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Viewing changes to python/test/t_MonteCarlo_draw.atpy

  • Committer: Bazaar Package Importer
  • Author(s): Fabrice Coutadeur
  • Date: 2010-05-10 17:27:55 UTC
  • mfrom: (1.1.4 upstream) (5.1.5 sid)
  • Revision ID: james.westby@ubuntu.com-20100510172755-cb5ynskknqqi5rhp
Tags: 0.13.2-2ubuntu1
* Merge with Debian testing. No changes left.
* ubuntu_fix-python-2.6.patch: fix detection of python 2.6 libs, to not use
  LOCALMODLIBS. This pulls a dependency on SSL and makes the package FTBFS.

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python/test/t_MonteCarlo_draw.atpy
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#AT_TESTED([t_MonteCarlo_draw.py])
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AT_CHECK([t_MonteCarlo_draw.py],
 
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AT_CHECK([python ${examplesdir}/t_MonteCarlo_draw.py],
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         [0],
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[[MonteCarlo= class=MonteCarlo derived from class=Simulation event=class=Event name=Unnamed implementation=class=EventRandomVectorImplementation antecedent=class=CompositeRandomVector function=class=NumericalMathFunction name=poutre implementation=class=NumericalMathFunctionImplementation name=poutre description=[E,F,L,I,d] evaluationImplementation=class=ComputedNumericalMathEvaluationImplementation name=poutre gradientImplementation=class=ComputedNumericalMathGradientImplementation name=poutre hessianImplementation=class=ComputedNumericalMathHessianImplementation name=poutre antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=4 mean=class=NumericalPoint name=Unnamed dimension=4 implementation=class=NumericalPointImplementation name=Unnamed dimension=4 values=[50,1,10,5] sigma=class=NumericalPoint name=Unnamed dimension=4 implementation=class=NumericalPointImplementation name=Unnamed dimension=4 values=[1,1,1,1] correlationMatrix=class=CorrelationMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1] operator=class=Less name=Unnamed threshold=-3 maximumOuterSampling=500 maximumCoefficientOfVariation=0.05 blockSize=10
 
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[[MonteCarlo= class=MonteCarlo derived from class=Simulation event=class=Event name=Unnamed implementation=class=EventRandomVectorImplementation antecedent=class=CompositeRandomVector function=class=NumericalMathFunction name=poutre implementation=class=NumericalMathFunctionImplementation name=poutre description=[E,F,L,I,d] evaluationImplementation=class=ComputedNumericalMathEvaluationImplementation name=poutre gradientImplementation=class=ComputedNumericalMathGradientImplementation name=poutre hessianImplementation=class=ComputedNumericalMathHessianImplementation name=poutre antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=4 mean=class=NumericalPoint name=Unnamed dimension=4 values=[50,1,10,5] sigma=class=NumericalPoint name=Unnamed dimension=4 values=[1,1,1,1] correlationMatrix=class=CorrelationMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1] operator=class=Less name=Unnamed threshold=-3 maximumOuterSampling=500 maximumCoefficientOfVariation=0.05 blockSize=10
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MonteCarlo result= probabilityEstimate=1.415730e-01 varianceEstimate=5.008983e-05 coefficient of variation=5.00e-02 confidenceLength(0.95)=2.77e-02 outerSampling=267 blockSize=10
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bitmap= ./convergenceMonteCarlo.png
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postscript= ./convergenceMonteCarlo.eps