def test_NormalizeProbabilityMapSet_outputs(): output_map = dict(out_files=dict(), ) outputs = NormalizeProbabilityMapSet.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_NormalizeProbabilityMapSet_inputs(): input_map = dict(in_files=dict(), in_mask=dict(), ) inputs = NormalizeProbabilityMapSet.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_NormalizeProbabilityMapSet_inputs(): input_map = dict( in_files=dict(), in_mask=dict(), ) inputs = NormalizeProbabilityMapSet.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value