def test_GradientAnisotropicDiffusion_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='%s',
position=-2,
),
iterations=dict(argstr='--iterations %d',
),
outputVolume=dict(argstr='%s',
hash_files=False,
position=-1,
),
terminal_output=dict(mandatory=True,
nohash=True,
),
timeStep=dict(argstr='--timeStep %f',
),
)
inputs = GradientAnisotropicDiffusion.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_GradientAnisotropicDiffusion_inputs():
input_map = dict(ignore_exception=dict(nohash=True,
usedefault=True,
),
outputVolume=dict(position=-1,
hash_files=False,
argstr='%s',
),
timeStep=dict(argstr='--timeStep %f',
),
args=dict(argstr='%s',
),
conductance=dict(argstr='--conductance %f',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
environ=dict(nohash=True,
usedefault=True,
),
iterations=dict(argstr='--iterations %d',
),
inputVolume=dict(position=-2,
argstr='%s',
),
)
inputs = GradientAnisotropicDiffusion.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_GradientAnisotropicDiffusion_outputs():
output_map = dict(outputVolume=dict(position=-1, ), )
outputs = GradientAnisotropicDiffusion.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_GradientAnisotropicDiffusion_outputs():
output_map = dict(outputVolume=dict(position=-1,
),
)
outputs = GradientAnisotropicDiffusion.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
