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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def load_results(result_files, options, run_set_id=None, columns=None, columns_relevant_for_diff=set()):
 """Version of load_result for multiple input files that will be loaded concurrently."""

    return parallel.map(
        load_result,
        result_files,
        itertools.repeat(options),
        itertools.repeat(run_set_id),
        itertools.repeat(columns),
        itertools.repeat(columns_relevant_for_diff))