code: def _compute_f1_score(
      self,
      pred_answer_list,
      target_answers_list,
      pred_has_answer_list,
      target_has_answer_list,
  ):
      f1_scores_sum = 0.0
      f1_scores_sum_pos_only = 0.0
      for (
          pred_answer,
          target_answers,
          pred_has_answer,
          target_has_answer,
      ) in zip(
          pred_answer_list,
          target_answers_list,
          pred_has_answer_list,
          target_has_answer_list,
      ):
          if not self.ignore_impossible:
              if (not pred_answer and target_answers) or (
                  pred_answer and not target_answers
              ):
                  continue
              if not pred_answer and not target_answers:
                  f1_scores_sum += 1.0
                  continue
              # Use pred_has_answer to compute token F1.
              # if pred_has_answer != target_has_answer:
              #     continue
              # if pred_has_answer == self.false_idx:
              #     f1_scores_sum += 1.0
              #     continue
          example_f1 = max(
              self._compute_f1_per_answer(answer, pred_answer)
              for answer in target_answers
          )
          f1_scores_sum += example_f1
          f1_scores_sum_pos_only += example_f1
      return f1_scores_sum, f1_scores_sum_pos_only
  
imports: import re
  import string
  from collections import Counter
  from itertools import zip_longest
  from typing import Dict, List
  import numpy
  from pytext.common.constants import Stage
  from pytext.metric_reporters.channel import Channel, ConsoleChannel, FileChannel
  from pytext.metric_reporters.metric_reporter import MetricReporter
  from pytext.metrics import compute_classification_metrics, LabelPrediction
  from pytext.metrics.squad_metrics import SquadMetrics
label_desc: Use image node_id 14 for calling the SquadMetricReporter obj's underlying member method code with example usage: obj._compute_f1_score(pred_answer_list, target_answers_list, pred_has_answer_list, target_has_answer_list) and returns: f1_scores_sum,  f1_scores_sum_pos_only