def test_StimulusCorrelation_outputs(): output_map = dict(stimcorr_files=dict(), ) outputs = StimulusCorrelation.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_StimulusCorrelation_outputs(): output_map = dict(stimcorr_files=dict()) outputs = StimulusCorrelation.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_StimulusCorrelation_inputs(): input_map = dict( intensity_values=dict(mandatory=True), ignore_exception=dict(nohash=True, usedefault=True), spm_mat_file=dict(mandatory=True), realignment_parameters=dict(mandatory=True), concatenated_design=dict(mandatory=True), ) inputs = StimulusCorrelation.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_StimulusCorrelation_inputs(): input_map = dict( concatenated_design=dict(mandatory=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), intensity_values=dict(mandatory=True, ), realignment_parameters=dict(mandatory=True, ), spm_mat_file=dict(mandatory=True, ), ) inputs = StimulusCorrelation.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value