code: def __init__(self, opt, shared=None):
      super().__init__(opt, shared)
  
      # Check if probabilistic checked sentence to input mutator is used.
      if (
          opt["mutators"]
          and "add_probabilistic_checked_sentence_to_input_wow"
          in opt["mutators"]
      ):
          distractor_knowledge_fname = "data/k2r/wow/distractor.txt"
          if not os.path.exists(distractor_knowledge_fname):
              # Collect all knowledge sentences.
              checked_sentences = defaultdict(set)
              for episode_idx in tqdm(
                  range(self.num_episodes()),
                  desc="Loading distractor knowledge",
              ):
                  entry_idx = 0
                  while True:
                      entry = self.get(episode_idx, entry_idx)
                      entry_idx += 1
                      checked_sentence = entry.get(
                          "checked_sentence", ""
                      )
                      chosen_topic = entry.get("chosen_topic", "")
                      if not checked_sentence or not chosen_topic:
                          continue
                      checked_sentences[chosen_topic].add(
                          checked_sentence
                      )
                      if entry["episode_done"]:
                          break
              # Save it to file.
              checked_sentences = {
                  k: list(v) for k, v in checked_sentences.items()
              }
              with open(distractor_knowledge_fname, "w") as f:
                  json.dump(checked_sentences, f)
              print(
                  f'Saved distractor knowledge sentences to "{distractor_knowledge_fname}".'
              )
  
          # Add file path to opt.
          self.opt[
              "distractor_knowledge_fname"
          ] = distractor_knowledge_fname
  
          # Update mutator.
          self.mutators = [
              AddCheckedSentence(self.opt)
              if isinstance(mutator, AddCheckedSentence)
              else mutator
              for mutator in self.mutators
          ]
  
imports: import random
  import os
  from typing import Optional, Tuple
  from tqdm import tqdm
  from collections import defaultdict
  import json
  from parlai.core.message import Message
  from parlai.core.metrics import F1Metric
  from parlai.core.mutators import register_mutator, MessageMutator
  from parlai.tasks.wizard_of_wikipedia.agents import GeneratorTeacher
  from parlai.tasks.wizard_of_wikipedia.agents import TOKEN_KNOWLEDGE, TOKEN_END_KNOWLEDGE
label_desc: Use image node_id 1 to create a new WizardOfWikipediaGeneratorTeacher object from inherited base classes: GeneratorTeacher with example: obj = WizardOfWikipediaGeneratorTeacher(opt, shared)