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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(self, hypotheses: Dict[str, Any], reference: str) -> Dict[str, Any]: """ Reranks a set of hypotheses that belong to one single reference translation. Uses stable sorting. :param hypotheses: Nbest translations. :param reference: A single string with the actual reference translation. :return: Nbest translations sorted by reranking scores. """

        scores = [self.scoring_function(hypothesis, reference) for hypothesis in hypotheses['translations']]
        ranking = list(np.argsort(scores, kind='mergesort')[::-1])  # descending
        reranked_hypotheses = self._sort_by_ranking(hypotheses, ranking)
        if self.return_score:
            reranked_hypotheses['scores'] = [scores[i] for i in ranking]
        return reranked_hypotheses