def test_TractSkeleton_outputs(): output_map = dict(projected_data=dict(), skeleton_file=dict(), ) outputs = TractSkeleton.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_TractSkeleton_inputs(): input_map = dict(ignore_exception=dict(nohash=True, usedefault=True, ), use_cingulum_mask=dict(xor=['search_mask_file'], usedefault=True, ), skeleton_file=dict(argstr='-o %s', ), data_file=dict(), args=dict(argstr='%s', ), projected_data=dict(), alt_skeleton=dict(argstr='-s %s', ), alt_data_file=dict(argstr='-a %s', ), threshold=dict(), terminal_output=dict(mandatory=True, nohash=True, ), environ=dict(nohash=True, usedefault=True, ), in_file=dict(mandatory=True, argstr='-i %s', ), project_data=dict(requires=['threshold', 'distance_map', 'data_file'], argstr='-p %.3f %s %s %s %s', ), search_mask_file=dict(xor=['use_cingulum_mask'], ), output_type=dict(), distance_map=dict(), ) inputs = TractSkeleton.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_TractSkeleton_inputs(): input_map = dict(alt_data_file=dict(argstr='-a %s', ), alt_skeleton=dict(argstr='-s %s', ), args=dict(argstr='%s', ), data_file=dict(), distance_map=dict(), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), in_file=dict(argstr='-i %s', mandatory=True, ), output_type=dict(), project_data=dict(argstr='-p %.3f %s %s %s %s', requires=['threshold', 'distance_map', 'data_file'], ), projected_data=dict(), search_mask_file=dict(xor=['use_cingulum_mask'], ), skeleton_file=dict(argstr='-o %s', ), terminal_output=dict(mandatory=True, nohash=True, ), threshold=dict(), use_cingulum_mask=dict(usedefault=True, xor=['search_mask_file'], ), ) inputs = TractSkeleton.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value