def test_CalculateNormalizedMoments_outputs(): output_map = dict(moments=dict(), ) outputs = CalculateNormalizedMoments.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_CalculateNormalizedMoments_inputs(): input_map = dict(moment=dict(mandatory=True, ), timeseries_file=dict(mandatory=True, ), ) inputs = CalculateNormalizedMoments.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value