def test_AverageImages_outputs():
output_map = dict(output_average_image=dict(), )
outputs = AverageImages.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_AverageImages_outputs():
output_map = dict(output_average_image=dict(),
)
outputs = AverageImages.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_AverageImages_inputs():
input_map = dict(
args=dict(argstr='%s', ),
dimension=dict(
argstr='%d',
mandatory=True,
position=0,
),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
images=dict(
argstr='%s',
mandatory=True,
position=3,
),
normalize=dict(
argstr='%d',
mandatory=True,
position=2,
),
num_threads=dict(
nohash=True,
usedefault=True,
),
output_average_image=dict(
argstr='%s',
hash_files=False,
position=1,
usedefault=True,
),
terminal_output=dict(nohash=True, ),
)
inputs = AverageImages.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_AverageImages_inputs():
input_map = dict(args=dict(argstr='%s',
),
dimension=dict(argstr='%d',
mandatory=True,
position=0,
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
images=dict(argstr='%s',
mandatory=True,
position=3,
),
normalize=dict(argstr='%d',
mandatory=True,
position=2,
),
num_threads=dict(nohash=True,
usedefault=True,
),
output_average_image=dict(argstr='%s',
hash_files=False,
position=1,
usedefault=True,
),
terminal_output=dict(mandatory=True,
nohash=True,
),
)
inputs = AverageImages.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
