def test_AverageAffineTransform_outputs():
output_map = dict(affine_transform=dict())
outputs = AverageAffineTransform.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_AverageAffineTransform_outputs():
output_map = dict(affine_transform=dict(), )
outputs = AverageAffineTransform.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_AverageAffineTransform_inputs():
input_map = dict(ignore_exception=dict(nohash=True,
usedefault=True,
),
num_threads=dict(nohash=True,
usedefault=True,
),
output_affine_transform=dict(position=1,
mandatory=True,
argstr='%s',
),
args=dict(argstr='%s',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
environ=dict(nohash=True,
usedefault=True,
),
transforms=dict(argstr='%s',
mandatory=True,
position=3,
),
dimension=dict(mandatory=True,
usedefault=False,
position=0,
argstr='%d',
),
)
inputs = AverageAffineTransform.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_AverageAffineTransform_inputs():
input_map = dict(args=dict(argstr='%s',
),
dimension=dict(argstr='%d',
mandatory=True,
position=0,
usedefault=False,
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
num_threads=dict(nohash=True,
usedefault=True,
),
output_affine_transform=dict(argstr='%s',
mandatory=True,
position=1,
),
terminal_output=dict(nohash=True,
),
transforms=dict(argstr='%s',
mandatory=True,
position=3,
),
)
inputs = AverageAffineTransform.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value