code: def compute_f1(a_gold, a_pred):
      gold_toks = get_tokens(a_gold)
      pred_toks = get_tokens(a_pred)
      common = collections.Counter(gold_toks) & collections.Counter(
          pred_toks
      )
      num_same = sum(common.values())
      if len(gold_toks) == 0 or len(pred_toks) == 0:
          # If either is no-answer, then F1 is 1 if they agree, 0 otherwise
          return int(gold_toks == pred_toks)
      if num_same == 0:
          return 0
      precision = 1.0 * num_same / len(pred_toks)
      recall = 1.0 * num_same / len(gold_toks)
      f1 = (2 * precision * recall) / (precision + recall)
      return f1
  
imports: import argparse
  import collections
  import json
  import os
  import re
  import string
  import sys
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: compute_f1(a_gold, a_pred) and returns: f1, int, int