class_docstr: This teacher examines model responses and classifies whether the model responded as
  the correct character.
  
  Evaluation is entirely dependent on the classifier specified.
class_docstr_tok: ["This","teacher","examines","model","responses","and","classifies","whether","the","model","responded","as","the","correct","character",".","Evaluation","is","entirely","dependent","on","the","classifier","specified","."]
code: def add_cmdline_args(
      cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
  ) -> ParlaiParser:
      super().add_cmdline_args(parser, partial_opt=partial_opt)
      from projects.light_whoami.agents.rpa_rerank import RPAReranker
  
      RPAReranker.add_cmdline_args(parser, partial_opt=partial_opt)
      return parser
  
imports: from abc import ABC
  from collections import deque
  import re
  from typing import Optional
  from parlai.core.build_data import modelzoo_path
  from parlai.core.message import Message
  from parlai.core.metrics import AverageMetric
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.tasks.light_dialog.agents import SimpleMultiTeacher
  from parlai.utils.data import DatatypeHelper
  import parlai.utils.logging
  import copy
  import os
  import random
  import torch
  import torch.nn
  import torch.nn.functional
  from typing import List, Dict, Tuple
  from projects.light_whoami.task.utils import DEFAULT_DELIM, CONTEXT_KEYS, extract_characters, WHO_AM_I, WHO_ARE_YOU, SELF, PARTNER, WHO_IS_THIS, maybe_annotate
  import projects.light_whoami.task.mutators
label_desc: Use image node_id 1 for calling the ResponseClassifierTeacher obj's underlying member method code with example usage: obj.add_cmdline_args(cls, parser, partial_opt) and returns: parser