def test_FuzzyOverlap_outputs():
output_map = dict(class_fdi=dict(),
class_fji=dict(),
dice=dict(),
diff_file=dict(),
jaccard=dict(),
)
outputs = FuzzyOverlap.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_FuzzyOverlap_outputs():
output_map = dict(
class_fdi=dict(),
class_fji=dict(),
dice=dict(),
diff_file=dict(),
jaccard=dict(),
)
outputs = FuzzyOverlap.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_FuzzyOverlap_inputs():
input_map = dict(
ignore_exception=dict(
nohash=True,
usedefault=True,
),
in_ref=dict(mandatory=True, ),
in_tst=dict(mandatory=True, ),
out_file=dict(usedefault=True, ),
weighting=dict(usedefault=True, ),
)
inputs = FuzzyOverlap.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_FuzzyOverlap_inputs():
input_map = dict(ignore_exception=dict(nohash=True,
usedefault=True,
),
in_ref=dict(mandatory=True,
),
in_tst=dict(mandatory=True,
),
out_file=dict(usedefault=True,
),
weighting=dict(usedefault=True,
),
)
inputs = FuzzyOverlap.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
