def test_Realign_outputs():
output_map = dict(mean_image=dict(),
modified_in_files=dict(),
realigned_files=dict(),
realignment_parameters=dict(),
)
outputs = Realign.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_Realign_inputs():
input_map = dict(fwhm=dict(field='eoptions.fwhm',
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
in_files=dict(copyfile=True,
field='data',
mandatory=True,
),
interp=dict(field='eoptions.interp',
),
jobtype=dict(usedefault=True,
),
matlab_cmd=dict(),
mfile=dict(usedefault=True,
),
out_prefix=dict(field='roptions.prefix',
usedefault=True,
),
paths=dict(),
quality=dict(field='eoptions.quality',
),
register_to_mean=dict(field='eoptions.rtm',
mandatory=True,
usedefault=True,
),
separation=dict(field='eoptions.sep',
),
use_mcr=dict(),
use_v8struct=dict(min_ver='8',
usedefault=True,
),
weight_img=dict(field='eoptions.weight',
),
wrap=dict(field='eoptions.wrap',
),
write_interp=dict(field='roptions.interp',
),
write_mask=dict(field='roptions.mask',
),
write_which=dict(field='roptions.which',
maxlen=2,
minlen=2,
usedefault=True,
),
write_wrap=dict(field='roptions.wrap',
),
)
inputs = Realign.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_Realign_outputs():
output_map = dict(
mean_image=dict(),
modified_in_files=dict(),
realigned_files=dict(),
realignment_parameters=dict(),
)
outputs = Realign.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_Realign_inputs():
input_map = dict(
fwhm=dict(field='eoptions.fwhm', ),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
in_files=dict(
copyfile=True,
field='data',
mandatory=True,
),
interp=dict(field='eoptions.interp', ),
jobtype=dict(usedefault=True, ),
matlab_cmd=dict(),
mfile=dict(usedefault=True, ),
out_prefix=dict(
field='roptions.prefix',
usedefault=True,
),
paths=dict(),
quality=dict(field='eoptions.quality', ),
register_to_mean=dict(
field='eoptions.rtm',
mandatory=True,
usedefault=True,
),
separation=dict(field='eoptions.sep', ),
use_mcr=dict(),
use_v8struct=dict(
min_ver='8',
usedefault=True,
),
weight_img=dict(field='eoptions.weight', ),
wrap=dict(field='eoptions.wrap', ),
write_interp=dict(field='roptions.interp', ),
write_mask=dict(field='roptions.mask', ),
write_which=dict(
field='roptions.which',
maxlen=2,
minlen=2,
usedefault=True,
),
write_wrap=dict(field='roptions.wrap', ),
)
inputs = Realign.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
