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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 _create_all_recommendations(cores, ip_views=False, config=None):
 """Calculate all recommendations in multiple processes."""

    global _reco, _store

    _reco = GraphRecommender(_store)
    _reco.load_profile('Profiles')
    if ip_views:
        _reco.load_profile('Profiles_IP')

    manager = Manager()
    record_list = manager.list(_reco.all_records.keys())
    # record_list = manager.list(list(_reco.all_records.keys())[:10])
    num_records = len(_reco.all_records.keys())
    logger.info("Recommendations to build: {}".format(num_records))

    start = time.time()
    reco_version = config.get('recommendation_version', 0)
    done_records = num_records
    if cores <= 1:
        _create_recommendations(0, record_list, reco_version)
    else:
        try:
            pool = Pool(cores)
            multiple_results = [pool.apply_async(_create_recommendations,
                                (i, record_list, reco_version))
                                for i in range(cores)]
            # Wait for all processes to exit
            [res.get() for res in multiple_results]
        except KeyboardInterrupt:
            print("Caught KeyboardInterrupt, terminating workers")
            # TODO: Update done_records.
            pool.terminate()
            pool.join()

    duration = time.time() - start
    logger.info("Time {} for {} recommendations".format(duration,
                                                        done_records))