def test_CFFConverter_inputs():
input_map = dict(
ignore_exception=dict(nohash=True, usedefault=True),
publisher=dict(),
gifti_labels=dict(),
timeseries_files=dict(),
description=dict(usedefault=True),
gpickled_networks=dict(),
creator=dict(),
title=dict(),
tract_files=dict(),
script_files=dict(),
graphml_networks=dict(),
email=dict(),
references=dict(),
rights=dict(),
gifti_surfaces=dict(),
license=dict(),
data_files=dict(),
nifti_volumes=dict(),
species=dict(usedefault=True),
relation=dict(),
out_file=dict(usedefault=True),
)
inputs = CFFConverter.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_CFFConverter_inputs():
input_map = dict(
creator=dict(),
data_files=dict(),
description=dict(usedefault=True, ),
email=dict(),
gifti_labels=dict(),
gifti_surfaces=dict(),
gpickled_networks=dict(),
graphml_networks=dict(),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
license=dict(),
nifti_volumes=dict(),
out_file=dict(usedefault=True, ),
publisher=dict(),
references=dict(),
relation=dict(),
rights=dict(),
script_files=dict(),
species=dict(usedefault=True, ),
timeseries_files=dict(),
title=dict(),
tract_files=dict(),
)
inputs = CFFConverter.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_CFFConverter_outputs():
output_map = dict(connectome_file=dict())
outputs = CFFConverter.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_CFFConverter_outputs():
output_map = dict(connectome_file=dict(), )
outputs = CFFConverter.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
