code: def get_knowledge_appended_context(
      context: str, knowledge_sentence: str, normalize_knowledge=False
  ):
      return (
          context
          + "\n"
          + get_knowledge_sentence_with_special_tokens_only(
              knowledge_sentence,
              normalize_knowledge=normalize_knowledge,
          )
      )
  
imports: from string import punctuation
  import copy
  from typing import List
  from parlai.core.mutators import register_mutator, ManyEpisodeMutator, MessageMutator
  from parlai.core.message import Message
  from parlai.mutators.flatten import FlattenMutator
  from parlai.utils.strings import normalize_reply
  from parlai.tasks.wizard_of_wikipedia.agents import TOKEN_KNOWLEDGE, TOKEN_END_KNOWLEDGE
  from parlai.tasks.wizard_of_internet import constants
  from .constants import FeedbackType, UNWANTED_TOKENS
label_desc: Use image node_id 3 for calling a global function with example usage: get_knowledge_appended_context(context, knowledge_sentence, normalize_knowledge) and returns: unknown