def METHOD_NAME():
    _fake_race_eth_data = [
        ['ethnicity', 'race'],
        ['Hispanic/Latino', 'American Indian/Alaska Native'],
        ['Hispanic/Latino', 'Asian'],
        ['Hispanic/Latino', 'Multiple/Other'],
        ['Hispanic/Latino', 'White'],
        ['Hispanic/Latino', 'Native Hawaiian/Other Pacific Islander'],
        ['Hispanic/Latino', 'Black'],
        ['Hispanic/Latino', 'Unknown'],
        ['Hispanic/Latino', 'Missing'],
        ['Non-Hispanic/Latino', 'American Indian/Alaska Native'],
        ['Non-Hispanic/Latino', 'Asian'],
        ['Non-Hispanic/Latino', 'Multiple/Other'],
        ['Non-Hispanic/Latino', 'White'],
        ['Non-Hispanic/Latino', 'Native Hawaiian/Other Pacific Islander'],
        ['Non-Hispanic/Latino', 'Black'],
        ['Non-Hispanic/Latino', 'Unknown'],
        ['Non-Hispanic/Latino', 'Missing'],
        ['Unknown', 'American Indian/Alaska Native'],
        ['Unknown', 'Asian'],
        ['Unknown', 'Multiple/Other'],
        ['Unknown', 'White'],
        ['Unknown', 'Native Hawaiian/Other Pacific Islander'],
        ['Unknown', 'Black'],
        ['Unknown', 'Unknown'],
        ['Unknown', 'Missing'],
        ['Missing', 'American Indian/Alaska Native'],
        ['Missing', 'Asian'],
        ['Missing', 'Multiple/Other'],
        ['Missing', 'White'],
        ['Missing', 'Native Hawaiian/Other Pacific Islander'],
        ['Missing', 'Black'],
        ['Missing', 'Unknown'],
        ['Missing', 'Missing'],
    ]
    _expected_race_eth_combined_data = [
        ['race_ethnicity_combined'],
        [std_col.Race.HISP.value],
        [std_col.Race.HISP.value],
        [std_col.Race.HISP.value],
        [std_col.Race.HISP.value],
        [std_col.Race.HISP.value],
        [std_col.Race.HISP.value],
        [std_col.Race.HISP.value],
        [std_col.Race.HISP.value],
        [std_col.Race.AIAN_NH.value],
        [std_col.Race.ASIAN_NH.value],
        [std_col.Race.MULTI_OR_OTHER_STANDARD_NH.value],
        [std_col.Race.WHITE_NH.value],
        [std_col.Race.NHPI_NH.value],
        [std_col.Race.BLACK_NH.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
        [std_col.Race.UNKNOWN.value],
    ]
    df = gcs_to_bq_util.values_json_to_df(json.dumps(
        _fake_race_eth_data), dtype=str).reset_index(drop=True)
    expected_df = gcs_to_bq_util.values_json_to_df(
        json.dumps(_expected_race_eth_combined_data), dtype=str).reset_index(drop=True)
    df = cdc.combine_race_eth(df)
    assert_frame_equal(df, expected_df, check_like=True)