def test_FitMSParams_inputs(): input_map = dict( args=dict(argstr='%s', ), environ=dict( nohash=True, usedefault=True, ), flip_list=dict(), ignore_exception=dict( nohash=True, usedefault=True, ), in_files=dict( argstr='%s', mandatory=True, position=-2, ), out_dir=dict( argstr='%s', genfile=True, position=-1, ), subjects_dir=dict(), te_list=dict(), terminal_output=dict(nohash=True, ), tr_list=dict(), xfm_list=dict(), ) inputs = FitMSParams.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_FitMSParams_inputs(): input_map = dict(args=dict(argstr='%s', ), environ=dict(nohash=True, usedefault=True, ), flip_list=dict(), ignore_exception=dict(nohash=True, usedefault=True, ), in_files=dict(argstr='%s', mandatory=True, position=-2, ), out_dir=dict(argstr='%s', genfile=True, position=-1, ), subjects_dir=dict(), te_list=dict(), terminal_output=dict(nohash=True, ), tr_list=dict(), xfm_list=dict(), ) inputs = FitMSParams.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_FitMSParams_outputs(): output_map = dict(pd_image=dict(), t1_image=dict(), t2star_image=dict(), ) outputs = FitMSParams.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value