Get a list of the best matches to a collection of choices.

    Convenience function for getting the choices with best scores.

    Args:
        query: A string to match against
        choices: A list or dictionary of choices, suitable for use with
            extract().
        processor: Optional function for transforming choices before matching.
            See extract().
        scorer: Scoring function for extract().
        score_cutoff: Optional argument for score threshold. No matches with
            a score less than this number will be returned. Defaults to 0.
        limit: Optional maximum for the number of elements returned. Defaults
            to 5.

    Returns: A a list of (match, score) tuples.

def extractBests(query, choices, processor=default_processor, scorer=default_scorer, score_cutoff=0, limit=5):
    """Get a list of the best matches to a collection of choices.

    Convenience function for getting the choices with best scores.

    Args:
        query: A string to match against
        choices: A list or dictionary of choices, suitable for use with
            extract().
        processor: Optional function for transforming choices before matching.
            See extract().
        scorer: Scoring function for extract().
        score_cutoff: Optional argument for score threshold. No matches with
            a score less than this number will be returned. Defaults to 0.
        limit: Optional maximum for the number of elements returned. Defaults
            to 5.

    Returns: A a list of (match, score) tuples.
    """

    best_list = extractWithoutOrder(query, choices, processor, scorer, score_cutoff)
    return heapq.nlargest(limit, best_list, key=lambda i: i[1]) if limit is not None else \
        sorted(best_list, key=lambda i: i[1], reverse=True)