def test_BRAINSResize_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
inputVolume=dict(argstr='--inputVolume %s', ),
outputVolume=dict(
argstr='--outputVolume %s',
hash_files=False,
),
pixelType=dict(argstr='--pixelType %s', ),
scaleFactor=dict(argstr='--scaleFactor %f', ),
terminal_output=dict(nohash=True, ),
)
inputs = BRAINSResize.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_BRAINSResize_inputs():
input_map = dict(args=dict(argstr='%s',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
inputVolume=dict(argstr='--inputVolume %s',
),
outputVolume=dict(argstr='--outputVolume %s',
hash_files=False,
),
pixelType=dict(argstr='--pixelType %s',
),
scaleFactor=dict(argstr='--scaleFactor %f',
),
terminal_output=dict(nohash=True,
),
)
inputs = BRAINSResize.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_BRAINSResize_outputs():
output_map = dict(outputVolume=dict(), )
outputs = BRAINSResize.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_BRAINSResize_outputs():
output_map = dict(outputVolume=dict(),
)
outputs = BRAINSResize.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value