code: def score(
      self,
      hypothesis: List[str],
      references: List[List[str]],
      tags: Optional[List[List[str]]] = None,
  ) -> VizSeqScore:
      return self._score_multiprocess_averaged(
          hypothesis, references, tags, sent_score_func=_get_sent_nist
      )
  
file_path: vizseq/vizseq/scorers/nist.py
imports: from typing import List, Optional, Dict
  from nltk.translate.nist_score import sentence_nist
  from vizseq.scorers import register_scorer, VizSeqScorer
  from vizseq.scorers import VizSeqScore
label_desc: Use image node_id 1 for calling the NISTScorer obj's underlying member method code with example usage: obj.score(hypothesis, references, tags) and returns: self