def test_CannySegmentationLevelSetImageFilter_inputs():
input_map = dict(
advectionWeight=dict(argstr='--advectionWeight %f', ),
args=dict(argstr='%s', ),
cannyThreshold=dict(argstr='--cannyThreshold %f', ),
cannyVariance=dict(argstr='--cannyVariance %f', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
initialModel=dict(argstr='--initialModel %s', ),
initialModelIsovalue=dict(argstr='--initialModelIsovalue %f', ),
inputVolume=dict(argstr='--inputVolume %s', ),
maxIterations=dict(argstr='--maxIterations %d', ),
outputSpeedVolume=dict(
argstr='--outputSpeedVolume %s',
hash_files=False,
),
outputVolume=dict(
argstr='--outputVolume %s',
hash_files=False,
),
terminal_output=dict(nohash=True, ),
)
inputs = CannySegmentationLevelSetImageFilter.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_CannySegmentationLevelSetImageFilter_outputs():
output_map = dict(outputSpeedVolume=dict(),
outputVolume=dict(),
)
outputs = CannySegmentationLevelSetImageFilter.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_CannySegmentationLevelSetImageFilter_outputs():
output_map = dict(
outputSpeedVolume=dict(),
outputVolume=dict(),
)
outputs = CannySegmentationLevelSetImageFilter.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_CannySegmentationLevelSetImageFilter_inputs():
input_map = dict(advectionWeight=dict(argstr='--advectionWeight %f',
),
args=dict(argstr='%s',
),
cannyThreshold=dict(argstr='--cannyThreshold %f',
),
cannyVariance=dict(argstr='--cannyVariance %f',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
initialModel=dict(argstr='--initialModel %s',
),
initialModelIsovalue=dict(argstr='--initialModelIsovalue %f',
),
inputVolume=dict(argstr='--inputVolume %s',
),
maxIterations=dict(argstr='--maxIterations %d',
),
outputSpeedVolume=dict(argstr='--outputSpeedVolume %s',
hash_files=False,
),
outputVolume=dict(argstr='--outputVolume %s',
hash_files=False,
),
terminal_output=dict(nohash=True,
),
)
inputs = CannySegmentationLevelSetImageFilter.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value