class_docstr: Teacher that display binary classes __ok__, __notok__ on bot response.
class_docstr_tok: ["Teacher","that","display","binary","classes","__ok__",",","__notok__","on","bot","response","."]
code: def add_cmdline_args(
      cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
  ) -> ParlaiParser:
      super().add_cmdline_args(parser, partial_opt)
      agent = parser.add_argument_group(
          "Continual Learning New Tasks Satisfaction Teacher options"
      )
      agent.add_argument(
          "--prepend-task-specifics",
          type=bool,
          default=False,
          help="whether to prepend task name and task requirement to the dialogue context",
      )
      agent.add_argument(
          "--must-have-knowledge-sentence",
          type=bool,
          default=False,
          help="whether to only include examples with perfect/gold knowledge sentence",
      )
      agent.add_argument(
          "--positive-example-source",
          type=str,
          default="all",
          choices=["human_gold", "human_and_bot_gold_revision", "all"],
          help='source of positive examples concatenated by "," ',
      )
      return parser
  
imports: import os
  import copy
  import json
  import random
  from typing import Optional
  from parlai.utils.misc import warn_once
  from parlai.utils.data import DatatypeHelper
  from parlai.core.opt import Opt
  from parlai.core.teachers import DialogTeacher
  from parlai.core.params import ParlaiParser
  from parlai.core.message import Message
  from parlai.utils.io import PathManager
  from parlai.tasks.wizard_of_internet import constants
  from .mutators import normalize_reply, get_knowledge_appended_context, get_knowledge_sentence_with_special_tokens_only
  from .build import build
  from .constants import FeedbackType, TITLE_PASSAGE_DELIMITER, OK_LABEL, NOT_OK_LABEL
label_desc: Use image node_id 1 for calling the FitsSatisfactionTeacher obj's underlying member method code with example usage: obj.add_cmdline_args(cls, parser, partial_opt) and returns: parser