def test_JacobianDeterminant_outputs():
output_map = dict(jacobian_image=dict(), )
outputs = JacobianDeterminant.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_JacobianDeterminant_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,
),
norm_by_total=dict(
argstr='%d',
position=5,
),
num_threads=dict(
nohash=True,
usedefault=True,
),
output_prefix=dict(
argstr='%s',
genfile=True,
hash_files=False,
position=2,
),
projection_vector=dict(
argstr='%s',
position=6,
sep='x',
),
template_mask=dict(
argstr='%s',
position=4,
),
terminal_output=dict(
mandatory=True,
nohash=True,
),
use_log=dict(
argstr='%d',
position=3,
),
warp_file=dict(
argstr='%s',
mandatory=True,
position=1,
),
)
inputs = JacobianDeterminant.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_JacobianDeterminant_outputs():
output_map = dict(jacobian_image=dict(),
)
outputs = JacobianDeterminant.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_JacobianDeterminant_inputs():
input_map = dict(ignore_exception=dict(nohash=True,
usedefault=True,
),
num_threads=dict(nohash=True,
usedefault=True,
),
output_prefix=dict(hash_files=False,
genfile=True,
position=2,
argstr='%s',
),
args=dict(argstr='%s',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
environ=dict(nohash=True,
usedefault=True,
),
use_log=dict(position=3,
argstr='%d',
),
warp_file=dict(position=1,
mandatory=True,
argstr='%s',
),
template_mask=dict(position=4,
argstr='%s',
),
norm_by_total=dict(position=5,
argstr='%d',
),
dimension=dict(mandatory=True,
usedefault=False,
position=0,
argstr='%d',
),
projection_vector=dict(argstr='%s',
sep='x',
position=6,
),
)
inputs = JacobianDeterminant.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
