class_docstr: Reversed teacher where labels are what bot said, text is what human said.
  
  Only support swapping text & labels, no other guarantees.
class_docstr_tok: ["Reversed","teacher","where","labels","are","what","bot","said",",","text","is","what","human","said",".","Only","support","swapping","text","&","labels",",","no","other","guarantees","."]
code: def add_cmdline_args(
      cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
  ) -> ParlaiParser:
      super().add_cmdline_args(parser, partial_opt=partial_opt)
      agent = parser.add_argument_group("LIGHT Dialogue options")
      agent.add_argument(
          "--light-min-conv-length",
          type=int,
          default=None,
          help="if specified, filters out conversations that do not reach this length. "
          "`--light-min-conv-length 3` will filter out convos with less than 3 turns",
      )
      agent.add_argument(
          "--light-max-conv-length",
          type=int,
          default=None,
          help="if specified, caps conversations at this length. "
          "`--light-max-conv-length 6` will cap all conversations at 6 turns",
      )
      agent.add_argument(
          "--light-hard-max-length-cap",
          type="bool",
          default=False,
          help="if specified, conversation max length is a hard cap - that is, "
          "any conversations greater than --light-max-conv-length will be "
          "removed completely",
      )
      agent.add_argument(
          "--light-prettify-setting",
          type="bool",
          default=False,
          help="if specified, setting/characters prettified.",
      )
      return parser
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from parlai.core.teachers import ParlAIDialogTeacher
  from .build import build, get_fpath
  import copy
  import os
  import random
label_desc: Use image node_id 1 for calling the ReversedTeacher obj's underlying member method code with example usage: obj.add_cmdline_args(cls, parser, partial_opt) and returns: parser