def test_WatershedBEM_inputs():
input_map = dict(args=dict(argstr='%s',
),
atlas_mode=dict(argstr='--atlas',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
overwrite=dict(argstr='--overwrite',
usedefault=True,
),
subject_id=dict(argstr='--subject %s',
mandatory=True,
),
subjects_dir=dict(mandatory=True,
usedefault=True,
),
terminal_output=dict(mandatory=True,
nohash=True,
),
volume=dict(argstr='--volume %s',
usedefault=True,
),
)
inputs = WatershedBEM.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_WatershedBEM_inputs():
input_map = dict(
args=dict(argstr='%s', ),
atlas_mode=dict(argstr='--atlas', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
overwrite=dict(
argstr='--overwrite',
usedefault=True,
),
subject_id=dict(
argstr='--subject %s',
mandatory=True,
),
subjects_dir=dict(
mandatory=True,
usedefault=True,
),
terminal_output=dict(nohash=True, ),
volume=dict(
argstr='--volume %s',
usedefault=True,
),
)
inputs = WatershedBEM.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_WatershedBEM_outputs():
output_map = dict(
brain_surface=dict(loc='bem/watershed', ),
cor_files=dict(
altkey='COR',
loc='bem/watershed/ws',
),
fif_file=dict(
altkey='fif',
loc='bem',
),
inner_skull_surface=dict(loc='bem/watershed', ),
mesh_files=dict(),
outer_skin_surface=dict(loc='bem/watershed', ),
outer_skull_surface=dict(loc='bem/watershed', ),
)
outputs = WatershedBEM.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_WatershedBEM_outputs():
output_map = dict(brain_surface=dict(loc='bem/watershed',
),
cor_files=dict(altkey='COR',
loc='bem/watershed/ws',
),
fif_file=dict(altkey='fif',
loc='bem',
),
inner_skull_surface=dict(loc='bem/watershed',
),
mesh_files=dict(),
outer_skin_surface=dict(loc='bem/watershed',
),
outer_skull_surface=dict(loc='bem/watershed',
),
)
outputs = WatershedBEM.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value