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