code: def report_result(self):
      # print("----------  Summary ---------------")
      if self.words_ == 0:
          print("No words counted")
          return
  
      # 1-best
      best_wer = (
          100.0
          * (self.insertions_ + self.deletions_ + self.substitutions_)
          / self.words_
      )
  
      print(
          "\tWER = %0.2f%% (%i utts, %i words, %0.2f%% ins, "
          "%0.2f%% dels, %0.2f%% subs)"
          % (
              best_wer,
              self.utts_,
              self.words_,
              100.0 * self.insertions_ / self.words_,
              100.0 * self.deletions_ / self.words_,
              100.0 * self.substitutions_ / self.words_,
          )
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import re
  from collections import deque
  from enum import Enum
  import numpy
label_desc: Use image node_id 3 for calling the WERTransformer obj's underlying member method code with example usage: obj.report_result() without return types