def test_EstimateModel_inputs(): input_map = dict(ignore_exception=dict(nohash=True, usedefault=True, ), paths=dict(), spm_mat_file=dict(copyfile=True, mandatory=True, field='spmmat', ), use_v8struct=dict(min_ver='8', usedefault=True, ), use_mcr=dict(), estimation_method=dict(field='method', mandatory=True, ), flags=dict(), mfile=dict(usedefault=True, ), matlab_cmd=dict(), ) inputs = EstimateModel.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_EstimateModel_inputs(): input_map = dict( estimation_method=dict( field='method', mandatory=True, ), flags=dict(), ignore_exception=dict( nohash=True, usedefault=True, ), matlab_cmd=dict(), mfile=dict(usedefault=True, ), paths=dict(), spm_mat_file=dict( copyfile=True, field='spmmat', mandatory=True, ), use_mcr=dict(), use_v8struct=dict( min_ver='8', usedefault=True, ), ) inputs = EstimateModel.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value