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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 rerank(args: argparse.Namespace):
 """ Reranks a list of hypotheses according to a sentence-level metric. Writes all output to STDOUT. :param args: Namespace object holding CLI arguments. """

    reranker = Reranker(args.metric, args.return_score)

    with utils.smart_open(args.reference) as reference, utils.smart_open(args.hypotheses) as hypotheses:
        for i, (reference_line, hypothesis_line) in enumerate(zip(reference, hypotheses), 1):
            reference = reference_line.strip()
            # Expects a JSON object with keys containing at least 'translations',
            # as returned by sockeye.translate's nbest output
            hypotheses = json.loads(hypothesis_line.strip())
            utils.check_condition('translations' in hypotheses,
                                  "Reranking requires nbest JSON input with 'translations' key present.")
            num_hypotheses = len(hypotheses['translations'])

            if not num_hypotheses > 1:
                logger.info("Line %d contains %d hypotheses. Nothing to rerank.", i, num_hypotheses)
                reranked_hypotheses = hypotheses
            else:
                reranked_hypotheses = reranker.rerank(hypotheses, reference)

            if args.output_best:
                if not num_hypotheses:
                    print()
                else:
                    print(reranked_hypotheses['translations'][0])
            else:
                print(json.dumps(reranked_hypotheses, sort_keys=True))