def test_Similarity_outputs(): output_map = dict(similarity=dict(), ) outputs = Similarity.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_Similarity_inputs(): input_map = dict( ignore_exception=dict( nohash=True, usedefault=True, ), mask1=dict(), mask2=dict(), metric=dict(usedefault=True, ), volume1=dict(mandatory=True, ), volume2=dict(mandatory=True, ), ) inputs = Similarity.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_Similarity_inputs(): input_map = dict(ignore_exception=dict(nohash=True, usedefault=True, ), metric=dict(usedefault=True, ), mask1=dict(), mask2=dict(), volume1=dict(mandatory=True, ), volume2=dict(mandatory=True, ), ) inputs = Similarity.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value