code: def __init__(
      self,
      channels: List[Channel],
      n_best_size: int,
      max_answer_length: int,
      ignore_impossible: bool,
      has_answer_labels: List[str],
      tensorizer=None,
      false_label=Config.false_label,
  ) -> None:
      super().__init__(channels)
      self.channels = channels
      self.tensorizer = tensorizer
      self.ignore_impossible = ignore_impossible
      self.has_answer_labels = has_answer_labels
      self.false_label = false_label
      self.false_idx = 1 if has_answer_labels[1] == false_label else 0
      self.true_idx = 1 - self.false_idx
  
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 2 to create a new SquadMetricReporter object from inherited base classes: MetricReporter with example: obj = SquadMetricReporter(channels, n_best_size, max_answer_length, ignore_impossible, has_answer_labels, tensorizer, false_label)