def test_TensorMode_outputs(): output_map = dict(out_file=dict()) outputs = TensorMode.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_TensorMode_outputs(): output_map = dict(out_file=dict(), ) outputs = TensorMode.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_TensorMode_inputs(): input_map = dict( bvals=dict(mandatory=True), bvecs=dict(mandatory=True), in_file=dict(mandatory=True), out_filename=dict(genfile=True), ) inputs = TensorMode.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_TensorMode_inputs(): input_map = dict( bvals=dict(mandatory=True, ), bvecs=dict(mandatory=True, ), in_file=dict(mandatory=True, ), out_filename=dict(genfile=True, ), ) inputs = TensorMode.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value