def test_Similarity_outputs():
output_map = dict(similarity=dict(), )
outputs = Similarity.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_Similarity_outputs():
output_map = dict(similarity=dict(),
)
outputs = Similarity.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_Similarity_inputs():
input_map = dict(
ignore_exception=dict(
nohash=True,
usedefault=True,
),
mask1=dict(),
mask2=dict(),
metric=dict(usedefault=True, ),
volume1=dict(mandatory=True, ),
volume2=dict(mandatory=True, ),
)
inputs = Similarity.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_Similarity_inputs():
input_map = dict(ignore_exception=dict(nohash=True,
usedefault=True,
),
metric=dict(usedefault=True,
),
mask1=dict(),
mask2=dict(),
volume1=dict(mandatory=True,
),
volume2=dict(mandatory=True,
),
)
inputs = Similarity.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
