def test_GradientAnisotropicDiffusionImageFilter_inputs(): input_map = dict(args=dict(argstr='%s', ), conductance=dict(argstr='--conductance %f', ), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), inputVolume=dict(argstr='--inputVolume %s', ), numberOfIterations=dict(argstr='--numberOfIterations %d', ), outputVolume=dict(argstr='--outputVolume %s', hash_files=False, ), terminal_output=dict(nohash=True, ), timeStep=dict(argstr='--timeStep %f', ), ) inputs = GradientAnisotropicDiffusionImageFilter.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_GradientAnisotropicDiffusionImageFilter_outputs(): output_map = dict(outputVolume=dict(), ) outputs = GradientAnisotropicDiffusionImageFilter.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value