rouge/rouge.py
def get_scores(self, avg=False, ignore_empty=False):
        """Calculate ROUGE scores between each pair of
        lines (hyp_file[i], ref_file[i]).
        Args:
          * hyp_path: hypothesis file path
          * ref_path: references file path
          * avg (False): whether to get an average scores or a list
        """
        hyp_path, ref_path = self.hyp_path, self.ref_path

        with io.open(hyp_path, encoding="utf-8", mode="r") as hyp_file:
            hyps = [line[:-1] for line in hyp_file]
        with io.open(ref_path, encoding="utf-8", mode="r") as ref_file:
            refs = [line[:-1] for line in ref_file]

        return self.rouge.get_scores(hyps, refs, avg=avg,
                                     ignore_empty=ignore_empty)
def get_scores(self, avg=False, ignore_empty=False):
        """Calculate ROUGE scores between each pair of
        lines (hyp_file[i], ref_file[i]).
        Args:
          * hyp_path: hypothesis file path
          * ref_path: references file path
          * avg (False): whether to get an average scores or a list
        """
        hyp_path, ref_path = self.hyp_path, self.ref_path

        with io.open(hyp_path, encoding="utf-8", mode="r") as hyp_file:
            hyps = [line[:-1] for line in hyp_file]
        with io.open(ref_path, encoding="utf-8", mode="r") as ref_file:
            refs = [line[:-1] for line in ref_file]

        return self.rouge.get_scores(hyps, refs, avg=avg,
                                     ignore_empty=ignore_empty)
Calculate ROUGE scores between each pair of
        lines (hyp_file[i], ref_file[i]).
        Args:
          * hyp_path: hypothesis file path
          * ref_path: references file path
          * avg (False): whether to get an average scores or a list