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Viewing changes to python/test/t_LinearNumericalMathFunction_std.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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#AT_TESTED([t_LinearNumericalMathFunction_std.py])
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AT_CHECK([t_LinearNumericalMathFunction_std.py],
 
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AT_CHECK([python ${examplesdir}/t_LinearNumericalMathFunction_std.py],
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         [0],
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[[myFunction= class=LinearNumericalMathFunction name=linearFunction implementation=class=NumericalMathFunctionImplementation name=linearFunction description=[x0,x1,x2,y0,y1] evaluationImplementation=class=LinearNumericalMathEvaluationImplementation name=Unnamed center=class=NumericalPoint name=Unnamed dimension=3 implementation=class=NumericalPointImplementation name=Unnamed dimension=3 values=[-1,0.5,1] constant=class=NumericalPoint name=Unnamed dimension=2 implementation=class=NumericalPointImplementation name=Unnamed dimension=2 values=[-1,2] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=2 values=[1,3,5,2,4,6] gradientImplementation=class=ConstantNumericalMathGradientImplementation name=Unnamed constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=2 values=[1,3,5,2,4,6] hessianImplementation=class=ConstantNumericalMathHessianImplementation name=Unnamed constant=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=2 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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linearFunction (  class=NumericalPoint name=Unnamed dimension=3 implementation=class=NumericalPointImplementation name=Unnamed dimension=3 values=[7,8,9]  ) =  class=NumericalPoint name=Unnamed dimension=2 implementation=class=NumericalPointImplementation name=Unnamed dimension=2 values=[69.5,96]
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linearFunction .gradient(  class=NumericalPoint name=Unnamed dimension=3 implementation=class=NumericalPointImplementation name=Unnamed dimension=3 values=[7,8,9]  ) =  class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=2 values=[1,3,5,2,4,6]
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linearFunction .hessian(  class=NumericalPoint name=Unnamed dimension=3 implementation=class=NumericalPointImplementation name=Unnamed dimension=3 values=[7,8,9]  ) =  class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=2 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
 
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[[myFunction= class=LinearNumericalMathFunction name=linearFunction implementation=class=NumericalMathFunctionImplementation name=linearFunction description=[x0,x1,x2,y0,y1] evaluationImplementation=class=LinearNumericalMathEvaluationImplementation name=Unnamed center=class=NumericalPoint name=Unnamed dimension=3 values=[-1,0.5,1] constant=class=NumericalPoint name=Unnamed dimension=2 values=[-1,2] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=2 values=[1,3,5,2,4,6] gradientImplementation=class=ConstantNumericalMathGradientImplementation name=Unnamed constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=2 values=[1,3,5,2,4,6] hessianImplementation=class=ConstantNumericalMathHessianImplementation name=Unnamed constant=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=2 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
 
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linearFunction (  class=NumericalPoint name=Unnamed dimension=3 values=[7,8,9]  ) =  class=NumericalPoint name=Unnamed dimension=2 values=[69.5,96]
 
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linearFunction .gradient(  class=NumericalPoint name=Unnamed dimension=3 values=[7,8,9]  ) =  class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=2 values=[1,3,5,2,4,6]
 
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linearFunction .hessian(  class=NumericalPoint name=Unnamed dimension=3 values=[7,8,9]  ) =  class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=2 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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]],
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         [ignore])
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