code: def add_task_arguments(cls, parser: argparse.ArgumentParser):
      # NOTE(kamo): Use '_' instead of '-' to avoid confusion
      assert check_argument_types()
      group = parser.add_argument_group(description="Task related")
  
      # NOTE(kamo): add_arguments(..., required=True) can't be used
      # to provide --print_config mode. Instead of it, do as
      required = parser.get_default("required")
      required += ["token_list"]
  
      group.add_argument(
          "--token_list",
          type=str_or_none,
          default=None,
          help="A text mapping int-id to token",
      )
      group.add_argument(
          "--init",
          type=lambda x: str_or_none(x.lower()),
          default=None,
          help="The initialization method",
          choices=[
              "chainer",
              "xavier_uniform",
              "xavier_normal",
              "kaiming_uniform",
              "kaiming_normal",
              None,
          ],
      )
      group.add_argument(
          "--model_conf",
          action=NestedDictAction,
          default=get_default_kwargs(ESPnetLanguageModel),
          help="The keyword arguments for model class.",
      )
  
      group = parser.add_argument_group(
          description="Preprocess related"
      )
      group.add_argument(
          "--use_preprocessor",
          type=str2bool,
          default=True,
          help="Apply preprocessing to data or not",
      )
      group.add_argument(
          "--token_type",
          type=str,
          default="bpe",
          choices=["bpe", "char", "word"],
          help="",
      )
      group.add_argument(
          "--bpemodel",
          type=str_or_none,
          default=None,
          help="The model file fo sentencepiece",
      )
      parser.add_argument(
          "--non_linguistic_symbols",
          type=str_or_none,
          help="non_linguistic_symbols file path",
      )
      parser.add_argument(
          "--cleaner",
          type=str_or_none,
          choices=[None, "tacotron", "jaconv", "vietnamese"],
          default=None,
          help="Apply text cleaning",
      )
      parser.add_argument(
          "--g2p",
          type=str_or_none,
          choices=g2p_choices,
          default=None,
          help="Specify g2p method if --token_type=phn",
      )
  
      for class_choices in cls.class_choices_list:
          # Append --<name> and --<name>_conf.
          # e.g. --encoder and --encoder_conf
          class_choices.add_arguments(group)
  
      assert check_return_type(parser)
      return parser
  
imports: import argparse
  import logging
  from typing import Callable, Collection, Dict, List, Optional, Tuple
  import numpy
  import torch
  from typeguard import check_argument_types, check_return_type
  from espnet2.lm.abs_model import AbsLM
  from espnet2.lm.espnet_model import ESPnetLanguageModel
  from espnet2.lm.seq_rnn_lm import SequentialRNNLM
  from espnet2.lm.transformer_lm import TransformerLM
  from espnet2.tasks.abs_task import AbsTask
  from espnet2.text.phoneme_tokenizer import g2p_choices
  from espnet2.torch_utils.initialize import initialize
  from espnet2.train.class_choices import ClassChoices
  from espnet2.train.collate_fn import CommonCollateFn
  from espnet2.train.preprocessor import CommonPreprocessor
  from espnet2.train.trainer import Trainer
  from espnet2.utils.get_default_kwargs import get_default_kwargs
  from espnet2.utils.nested_dict_action import NestedDictAction
  from espnet2.utils.types import str2bool, str_or_none
label_desc: Use image node_id 1 for calling the LMTask obj's underlying member method code with example usage: obj.add_task_arguments(cls, parser) and returns: parser