def test_LaplacianThickness_outputs():
output_map = dict(output_image=dict())
outputs = LaplacianThickness.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_LaplacianThickness_outputs():
output_map = dict(output_image=dict(), )
outputs = LaplacianThickness.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_LaplacianThickness_inputs():
input_map = dict(
args=dict(argstr='%s', ),
dT=dict(
argstr='dT=%d',
position=6,
),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
input_gm=dict(
argstr='%s',
copyfile=True,
mandatory=True,
position=2,
),
input_wm=dict(
argstr='%s',
copyfile=True,
mandatory=True,
position=1,
),
num_threads=dict(
nohash=True,
usedefault=True,
),
opt_tolerance=dict(
argstr='optional-laplacian-tolerance=%d',
position=8,
),
output_image=dict(
argstr='%s',
genfile=True,
hash_files=False,
position=3,
),
prior_thickness=dict(
argstr='priorthickval=%d',
position=5,
),
smooth_param=dict(
argstr='smoothparam=%d',
position=4,
),
sulcus_prior=dict(
argstr='use-sulcus-prior',
position=7,
),
terminal_output=dict(nohash=True, ),
)
inputs = LaplacianThickness.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_LaplacianThickness_inputs():
input_map = dict(args=dict(argstr='%s',
),
dT=dict(argstr='dT=%d',
position=6,
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
input_gm=dict(argstr='%s',
copyfile=True,
mandatory=True,
position=2,
),
input_wm=dict(argstr='%s',
copyfile=True,
mandatory=True,
position=1,
),
num_threads=dict(nohash=True,
usedefault=True,
),
opt_tolerance=dict(argstr='optional-laplacian-tolerance=%d',
position=8,
),
output_image=dict(argstr='%s',
genfile=True,
hash_files=False,
position=3,
),
prior_thickness=dict(argstr='priorthickval=%d',
position=5,
),
smooth_param=dict(argstr='smoothparam=%d',
position=4,
),
sulcus_prior=dict(argstr='use-sulcus-prior',
position=7,
),
terminal_output=dict(nohash=True,
),
)
inputs = LaplacianThickness.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
