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