def test_MultiResolutionAffineRegistration_outputs():
output_map = dict(resampledImage=dict(),
saveTransform=dict(),
)
outputs = MultiResolutionAffineRegistration.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_MultiResolutionAffineRegistration_outputs():
output_map = dict(
resampledImage=dict(),
saveTransform=dict(),
)
outputs = MultiResolutionAffineRegistration.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_MultiResolutionAffineRegistration_inputs():
input_map = dict(ignore_exception=dict(nohash=True,
usedefault=True,
),
numIterations=dict(argstr='--numIterations %d',
),
fixedImageMask=dict(argstr='--fixedImageMask %s',
),
args=dict(argstr='%s',
),
saveTransform=dict(hash_files=False,
argstr='--saveTransform %s',
),
stepTolerance=dict(argstr='--stepTolerance %f',
),
resampledImage=dict(hash_files=False,
argstr='--resampledImage %s',
),
movingImage=dict(position=-1,
argstr='%s',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
environ=dict(nohash=True,
usedefault=True,
),
metricTolerance=dict(argstr='--metricTolerance %f',
),
stepSize=dict(argstr='--stepSize %f',
),
numLineIterations=dict(argstr='--numLineIterations %d',
),
fixedImageROI=dict(argstr='--fixedImageROI %s',
),
fixedImage=dict(position=-2,
argstr='%s',
),
)
inputs = MultiResolutionAffineRegistration.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_MultiResolutionAffineRegistration_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
fixedImage=dict(
argstr='%s',
position=-2,
),
fixedImageMask=dict(argstr='--fixedImageMask %s', ),
fixedImageROI=dict(argstr='--fixedImageROI %s', ),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
metricTolerance=dict(argstr='--metricTolerance %f', ),
movingImage=dict(
argstr='%s',
position=-1,
),
numIterations=dict(argstr='--numIterations %d', ),
numLineIterations=dict(argstr='--numLineIterations %d', ),
resampledImage=dict(
argstr='--resampledImage %s',
hash_files=False,
),
saveTransform=dict(
argstr='--saveTransform %s',
hash_files=False,
),
stepSize=dict(argstr='--stepSize %f', ),
stepTolerance=dict(argstr='--stepTolerance %f', ),
terminal_output=dict(
mandatory=True,
nohash=True,
),
)
inputs = MultiResolutionAffineRegistration.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
