def test_AverageAffineTransform_outputs(): output_map = dict(affine_transform=dict()) outputs = AverageAffineTransform.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_AverageAffineTransform_outputs(): output_map = dict(affine_transform=dict(), ) outputs = AverageAffineTransform.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_AverageAffineTransform_inputs(): input_map = dict(ignore_exception=dict(nohash=True, usedefault=True, ), num_threads=dict(nohash=True, usedefault=True, ), output_affine_transform=dict(position=1, mandatory=True, argstr='%s', ), args=dict(argstr='%s', ), terminal_output=dict(mandatory=True, nohash=True, ), environ=dict(nohash=True, usedefault=True, ), transforms=dict(argstr='%s', mandatory=True, position=3, ), dimension=dict(mandatory=True, usedefault=False, position=0, argstr='%d', ), ) inputs = AverageAffineTransform.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_AverageAffineTransform_inputs(): input_map = dict(args=dict(argstr='%s', ), dimension=dict(argstr='%d', mandatory=True, position=0, usedefault=False, ), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), num_threads=dict(nohash=True, usedefault=True, ), output_affine_transform=dict(argstr='%s', mandatory=True, position=1, ), terminal_output=dict(nohash=True, ), transforms=dict(argstr='%s', mandatory=True, position=3, ), ) inputs = AverageAffineTransform.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value