def load_results ( result_files , options , run_set_id = None , columns = None , columns_relevant_for_diff = set ( ) ) : return parallel . map ( load_result , result_files , itertools . repeat ( options ) , itertools . repeat ( run_set_id ) , itertools . repeat ( columns ) , itertools . repeat ( columns_relevant_for_diff ) )
python parallel load different files
Version of load_result for multiple input files that will be loaded concurrently .
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))