def METHOD_NAME(
    feature_config,
    input_df,
    proc_df,
    metadata,
    preprocessing_parameters: PreprocessingConfigDict,
    backend,
    skip_save_processed_input,
):
    column = input_df[feature_config[COLUMN]]
    if column.dtype == object:
        column = backend.df_engine.map_objects(column, int)
    column = backend.df_engine.map_objects(column, H3FeatureMixin.h3_to_list)
    proc_df[feature_config[PROC_COLUMN]] = backend.df_engine.map_objects(
        column, lambda x: np.array(x, dtype=np.uint8)
    )
    return proc_df