code: def compute_score(self):
      tp = self.tp
      pred_num = self.pred_num
      gold_num = self.gold_num
      p, r = self.safe_div(tp, pred_num), self.safe_div(tp, gold_num)
      f1 = self.safe_div(2 * p * r, p + r)
      score = {"f1": f1 * 100}
      if "rouge" in self.metrics_list:
          rouge_1 = self.safe_div(self.rouge_1, self.cnt)
          rouge_2 = self.safe_div(self.rouge_2, self.cnt)
          rouge_l = self.safe_div(self.rouge_l, self.cnt)
          score["rouge-1"] = rouge_1
          score["rouge-2"] = rouge_2
          score["rouge-l"] = rouge_l
      return score
  
imports: from typing import Any
  import jieba
  from rouge_chinese import Rouge
  import rouge
  import re
  from copy import deepcopy
  from collections import defaultdict
label_desc: Use image node_id 6 for calling the Metric obj's underlying member method code with example usage: obj.compute_score() and returns: score