def test_ComputeTDI_outputs():
output_map = dict(out_file=dict(), )
outputs = ComputeTDI.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_ComputeTDI_outputs():
output_map = dict(out_file=dict(),
)
outputs = ComputeTDI.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_ComputeTDI_inputs():
input_map = dict(
args=dict(argstr='%s', ),
contrast=dict(argstr='-constrast %s', ),
data_type=dict(argstr='-datatype %s', ),
dixel=dict(argstr='-dixel %s', ),
ends_only=dict(argstr='-ends_only', ),
environ=dict(
nohash=True,
usedefault=True,
),
fwhm_tck=dict(argstr='-fwhm_tck %f', ),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
in_file=dict(
argstr='%s',
mandatory=True,
position=-2,
),
in_map=dict(argstr='-image %s', ),
map_zero=dict(argstr='-map_zero', ),
max_tod=dict(argstr='-tod %d', ),
nthreads=dict(
argstr='-nthreads %d',
nohash=True,
),
out_file=dict(
argstr='%s',
position=-1,
usedefault=True,
),
precise=dict(argstr='-precise', ),
reference=dict(argstr='-template %s', ),
stat_tck=dict(argstr='-stat_tck %s', ),
stat_vox=dict(argstr='-stat_vox %s', ),
tck_weights=dict(argstr='-tck_weights_in %s', ),
terminal_output=dict(nohash=True, ),
upsample=dict(argstr='-upsample %d', ),
use_dec=dict(argstr='-dec', ),
vox_size=dict(
argstr='-vox %s',
sep=',',
),
)
inputs = ComputeTDI.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_ComputeTDI_inputs():
input_map = dict(args=dict(argstr='%s',
),
contrast=dict(argstr='-constrast %s',
),
data_type=dict(argstr='-datatype %s',
),
dixel=dict(argstr='-dixel %s',
),
ends_only=dict(argstr='-ends_only',
),
environ=dict(nohash=True,
usedefault=True,
),
fwhm_tck=dict(argstr='-fwhm_tck %f',
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
in_file=dict(argstr='%s',
mandatory=True,
position=-2,
),
in_map=dict(argstr='-image %s',
),
map_zero=dict(argstr='-map_zero',
),
max_tod=dict(argstr='-tod %d',
),
nthreads=dict(argstr='-nthreads %d',
nohash=True,
),
out_file=dict(argstr='%s',
position=-1,
usedefault=True,
),
precise=dict(argstr='-precise',
),
reference=dict(argstr='-template %s',
),
stat_tck=dict(argstr='-stat_tck %s',
),
stat_vox=dict(argstr='-stat_vox %s',
),
tck_weights=dict(argstr='-tck_weights_in %s',
),
terminal_output=dict(nohash=True,
),
upsample=dict(argstr='-upsample %d',
),
use_dec=dict(argstr='-dec',
),
vox_size=dict(argstr='-vox %s',
sep=',',
),
)
inputs = ComputeTDI.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
