def test_ModelToLabelMap_inputs(): input_map = dict(InputVolume=dict(argstr='%s', position=-3, ), OutputVolume=dict(argstr='%s', hash_files=False, position=-1, ), args=dict(argstr='%s', ), distance=dict(argstr='--distance %f', ), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), surface=dict(argstr='%s', position=-2, ), terminal_output=dict(nohash=True, ), ) inputs = ModelToLabelMap.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_ModelToLabelMap_inputs(): input_map = dict( InputVolume=dict( argstr='%s', position=-3, ), OutputVolume=dict( argstr='%s', hash_files=False, position=-1, ), args=dict(argstr='%s', ), distance=dict(argstr='--distance %f', ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), surface=dict( argstr='%s', position=-2, ), terminal_output=dict(nohash=True, ), ) inputs = ModelToLabelMap.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_ModelToLabelMap_outputs(): output_map = dict(OutputVolume=dict(position=-1, ), ) outputs = ModelToLabelMap.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value