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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 _process_maybe_work(self, yes_work, maybe_work, work_dir, yn_results_path, stats):
 """Returns statistics of how `yes_work` compares with `maybe_work`. :param yes_work: name of work for which stats are collected :type yes_work: `str` :param maybe_work: name of work being compared with `yes_work` :type maybe_work: `str` :param work_dir: directory where generated files are saved :type work_dir: `str` :param yn_results_path: path to results intersecting `yes_work` with "no" works :type yn_results_path: `str` :param stats: data structure to hold statistical data of the comparison :type stats: `dict` :rtype: `dict` """

        if maybe_work == yes_work:
            return stats
        self._logger.info(
            'Processing "maybe" work {} against "yes" work {}.'.format(
                maybe_work, yes_work))
        # Set base values for each statistic of interest, for each
        # witness.
        for siglum in self._corpus.get_sigla(maybe_work):
            witness = (maybe_work, siglum)
            stats[COMMON][witness] = 0
            stats[SHARED][witness] = 0
            stats[UNIQUE][witness] = 100
        works = [yes_work, maybe_work]
        # Sort the works to have a single filename for the
        # intersection each pair of works, whether they are yes or
        # maybe. This saves repeating the intersection with the roles
        # switched, since _run_query will use a found file rather than
        # rerun the query.
        works.sort()
        ym_results_path = os.path.join(
            self._ym_intersects_dir, '{}_intersect_{}.csv'.format(*works))
        stats = self._process_intersection(yes_work, maybe_work, work_dir,
                                           ym_results_path, stats)
        stats = self._process_diff(yes_work, maybe_work, work_dir,
                                   ym_results_path, yn_results_path, stats)
        return stats