code: def compute_score(self):
      ee_p, ee_r = self.safe_div(
          self.ee_tp, self.ee_pred_num
      ), self.safe_div(self.ee_tp, self.ee_gold_num)
      ee_f1 = self.safe_div(2 * ee_p * ee_r, ee_p + ee_r)
      ag_p, ag_r = self.safe_div(
          self.ag_tp, self.ag_pred_num
      ), self.safe_div(self.ag_tp, self.ag_gold_num)
      ag_f1 = self.safe_div(2 * ag_p * ag_r, ag_p + ag_r)
      score = {"ee_f1": ee_f1 * 100, "ag_f1": ag_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 EEMetric obj's underlying member method code with example usage: obj.compute_score() and returns: score