def test_WarpImageMultiTransform_outputs():
output_map = dict(output_image=dict())
outputs = WarpImageMultiTransform.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_WarpImageMultiTransform_outputs():
output_map = dict(output_image=dict(), )
outputs = WarpImageMultiTransform.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_WarpImageMultiTransform_inputs():
input_map = dict(args=dict(argstr='%s',
),
dimension=dict(argstr='%d',
position=1,
usedefault=True,
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
input_image=dict(argstr='%s',
mandatory=True,
position=2,
),
invert_affine=dict(),
num_threads=dict(nohash=True,
usedefault=True,
),
out_postfix=dict(hash_files=False,
usedefault=True,
xor=['output_image'],
),
output_image=dict(argstr='%s',
genfile=True,
hash_files=False,
position=3,
xor=['out_postfix'],
),
reference_image=dict(argstr='-R %s',
xor=['tightest_box'],
),
reslice_by_header=dict(argstr='--reslice-by-header',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
tightest_box=dict(argstr='--tightest-bounding-box',
xor=['reference_image'],
),
transformation_series=dict(argstr='%s',
mandatory=True,
position=-1,
),
use_bspline=dict(argstr='--use-BSpline',
),
use_nearest=dict(argstr='--use-NN',
),
)
inputs = WarpImageMultiTransform.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_WarpImageMultiTransform_inputs():
input_map = dict(args=dict(argstr='%s',
),
dimension=dict(argstr='%d',
position=1,
usedefault=True,
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
input_image=dict(argstr='%s',
mandatory=True,
position=2,
),
invert_affine=dict(),
num_threads=dict(nohash=True,
usedefault=True,
),
out_postfix=dict(hash_files=False,
usedefault=True,
xor=['output_image'],
),
output_image=dict(argstr='%s',
genfile=True,
hash_files=False,
position=3,
xor=['out_postfix'],
),
reference_image=dict(argstr='-R %s',
xor=['tightest_box'],
),
reslice_by_header=dict(argstr='--reslice-by-header',
),
terminal_output=dict(nohash=True,
),
tightest_box=dict(argstr='--tightest-bounding-box',
xor=['reference_image'],
),
transformation_series=dict(argstr='%s',
mandatory=True,
position=-1,
),
use_bspline=dict(argstr='--use-BSpline',
),
use_nearest=dict(argstr='--use-NN',
),
)
inputs = WarpImageMultiTransform.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_WarpImageMultiTransform_inputs():
input_map = dict(
ignore_exception=dict(nohash=True, usedefault=True),
num_threads=dict(nohash=True, usedefault=True),
invert_affine=dict(),
output_image=dict(hash_files=False, genfile=True, xor=["out_postfix"], position=3, argstr="%s"),
tightest_box=dict(xor=["reference_image"], argstr="--tightest-bounding-box"),
out_postfix=dict(xor=["output_image"], hash_files=False, usedefault=True),
use_nearest=dict(argstr="--use-NN"),
args=dict(argstr="%s"),
dimension=dict(position=1, usedefault=True, argstr="%d"),
terminal_output=dict(mandatory=True, nohash=True),
environ=dict(nohash=True, usedefault=True),
reference_image=dict(xor=["tightest_box"], argstr="-R %s"),
input_image=dict(position=2, mandatory=True, argstr="%s"),
use_bspline=dict(argstr="--use-Bspline"),
transformation_series=dict(mandatory=True, argstr="%s"),
reslice_by_header=dict(argstr="--reslice-by-header"),
)
inputs = WarpImageMultiTransform.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
