def test_BRAINSMultiSTAPLE_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
inputCompositeT1Volume=dict(argstr='--inputCompositeT1Volume %s', ),
inputLabelVolume=dict(argstr='--inputLabelVolume %s...', ),
inputTransform=dict(argstr='--inputTransform %s...', ),
labelForUndecidedPixels=dict(argstr='--labelForUndecidedPixels %d', ),
outputConfusionMatrix=dict(
argstr='--outputConfusionMatrix %s',
hash_files=False,
),
outputMultiSTAPLE=dict(
argstr='--outputMultiSTAPLE %s',
hash_files=False,
),
resampledVolumePrefix=dict(argstr='--resampledVolumePrefix %s', ),
skipResampling=dict(argstr='--skipResampling ', ),
terminal_output=dict(nohash=True, ),
)
inputs = BRAINSMultiSTAPLE.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_BRAINSMultiSTAPLE_inputs():
input_map = dict(args=dict(argstr='%s',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
inputCompositeT1Volume=dict(argstr='--inputCompositeT1Volume %s',
),
inputLabelVolume=dict(argstr='--inputLabelVolume %s...',
),
inputTransform=dict(argstr='--inputTransform %s...',
),
labelForUndecidedPixels=dict(argstr='--labelForUndecidedPixels %d',
),
outputConfusionMatrix=dict(argstr='--outputConfusionMatrix %s',
hash_files=False,
),
outputMultiSTAPLE=dict(argstr='--outputMultiSTAPLE %s',
hash_files=False,
),
resampledVolumePrefix=dict(argstr='--resampledVolumePrefix %s',
),
skipResampling=dict(argstr='--skipResampling ',
),
terminal_output=dict(nohash=True,
),
)
inputs = BRAINSMultiSTAPLE.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_BRAINSMultiSTAPLE_outputs():
output_map = dict(outputConfusionMatrix=dict(),
outputMultiSTAPLE=dict(),
)
outputs = BRAINSMultiSTAPLE.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_BRAINSMultiSTAPLE_outputs():
output_map = dict(
outputConfusionMatrix=dict(),
outputMultiSTAPLE=dict(),
)
outputs = BRAINSMultiSTAPLE.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
