def test_DiffusionTensorScalarMeasurements_inputs(): input_map = dict( args=dict(argstr='%s', ), enumeration=dict(argstr='--enumeration %s', ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), inputVolume=dict( argstr='%s', position=-3, ), outputScalar=dict( argstr='%s', hash_files=False, position=-1, ), terminal_output=dict( mandatory=True, nohash=True, ), ) inputs = DiffusionTensorScalarMeasurements.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_DiffusionTensorScalarMeasurements_inputs(): input_map = dict(ignore_exception=dict(nohash=True, usedefault=True, ), outputScalar=dict(position=-1, hash_files=False, argstr='%s', ), args=dict(argstr='%s', ), enumeration=dict(argstr='--enumeration %s', ), terminal_output=dict(mandatory=True, nohash=True, ), environ=dict(nohash=True, usedefault=True, ), inputVolume=dict(position=-3, argstr='%s', ), ) inputs = DiffusionTensorScalarMeasurements.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_DiffusionTensorScalarMeasurements_outputs(): output_map = dict(outputScalar=dict(position=-1, ), ) outputs = DiffusionTensorScalarMeasurements.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_DiffusionTensorScalarMeasurements_outputs(): output_map = dict(outputScalar=dict(position=-1, ), ) outputs = DiffusionTensorScalarMeasurements.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value