vizseq/scorers/bleu.py [108:124]:
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            )

        if tags is not None:
            tag_set = self._unique(tags)
            group_scores = {}
            for t in tag_set:
                indices = [i for i, cur in enumerate(tags) if t in cur]
                ref_slice = [[r[i] for i in indices] for r in references]
                pred_slice = [hypothesis[i] for i in indices]
                group_scores[t] = self.score_corpus_multiprocess(
                    pred_slice, ref_slice
                )

        return VizSeqScore.make(
                corpus_score=corpus_score, sent_scores=sent_scores,
                group_scores=group_scores
            )
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vizseq/scorers/bp.py [34:49]:
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            )

        if tags is not None:
            tag_set = self._unique(tags)
            group_scores = {}
            for t in tag_set:
                indices = [i for i, cur in enumerate(tags) if t in cur]
                ref_slice = [[r[i] for i in indices] for r in references]
                pred_slice = [hypothesis[i] for i in indices]
                group_scores[t] = self.score_corpus_multiprocess(
                    pred_slice, ref_slice
                )
        return VizSeqScore.make(
                corpus_score=corpus_score, sent_scores=sent_scores,
                group_scores=group_scores
            )
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