def test_ComputeFractionalAnisotropy_inputs(): input_map = dict( args=dict(argstr='%s', ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), in_file=dict( argstr='< %s', mandatory=True, position=1, ), inputdatatype=dict(argstr='-inputdatatype %s', ), inputmodel=dict(argstr='-inputmodel %s', ), out_file=dict( argstr='> %s', genfile=True, position=-1, ), outputdatatype=dict(argstr='-outputdatatype %s', ), scheme_file=dict( argstr='%s', position=2, ), terminal_output=dict(nohash=True, ), ) inputs = ComputeFractionalAnisotropy.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_ComputeFractionalAnisotropy_outputs(): output_map = dict(fa=dict(), ) outputs = ComputeFractionalAnisotropy.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_ComputeFractionalAnisotropy_inputs(): input_map = dict(args=dict(argstr='%s', ), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), in_file=dict(argstr='< %s', mandatory=True, position=1, ), inputdatatype=dict(argstr='-inputdatatype %s', ), inputmodel=dict(argstr='-inputmodel %s', ), out_file=dict(argstr='> %s', genfile=True, position=-1, ), outputdatatype=dict(argstr='-outputdatatype %s', ), scheme_file=dict(argstr='%s', position=2, ), terminal_output=dict(mandatory=True, nohash=True, ), ) inputs = ComputeFractionalAnisotropy.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value