def test_BRAINSLmkTransform_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
inputFixedLandmarks=dict(argstr='--inputFixedLandmarks %s', ),
inputMovingLandmarks=dict(argstr='--inputMovingLandmarks %s', ),
inputMovingVolume=dict(argstr='--inputMovingVolume %s', ),
inputReferenceVolume=dict(argstr='--inputReferenceVolume %s', ),
numberOfThreads=dict(argstr='--numberOfThreads %d', ),
outputAffineTransform=dict(
argstr='--outputAffineTransform %s',
hash_files=False,
),
outputResampledVolume=dict(
argstr='--outputResampledVolume %s',
hash_files=False,
),
terminal_output=dict(nohash=True, ),
)
inputs = BRAINSLmkTransform.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_BRAINSLmkTransform_outputs():
output_map = dict(outputAffineTransform=dict(), outputResampledVolume=dict())
outputs = BRAINSLmkTransform.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_BRAINSLmkTransform_outputs():
output_map = dict(
outputAffineTransform=dict(),
outputResampledVolume=dict(),
)
outputs = BRAINSLmkTransform.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_BRAINSLmkTransform_inputs():
input_map = dict(
args=dict(argstr="%s"),
environ=dict(nohash=True, usedefault=True),
ignore_exception=dict(nohash=True, usedefault=True),
inputFixedLandmarks=dict(argstr="--inputFixedLandmarks %s"),
inputMovingLandmarks=dict(argstr="--inputMovingLandmarks %s"),
inputMovingVolume=dict(argstr="--inputMovingVolume %s"),
inputReferenceVolume=dict(argstr="--inputReferenceVolume %s"),
numberOfThreads=dict(argstr="--numberOfThreads %d"),
outputAffineTransform=dict(argstr="--outputAffineTransform %s", hash_files=False),
outputResampledVolume=dict(argstr="--outputResampledVolume %s", hash_files=False),
terminal_output=dict(nohash=True),
)
inputs = BRAINSLmkTransform.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value