code: def setup_args(cls):
      parser = train_setup_args()
      # Convenience
      group = parser.add_argument_group("Tod distributed uber script")
      group.add_argument(
          "--custom-model-model-name",
          default=None,
          type=str,
          help="model model name. Set to empty string to derive",
      )
      group.add_argument(
          "--existing-train-files",
          nargs="*",
          required=True,
          help="Path to previous model-model generated (and processed) train files",
      )
      group.add_argument(
          "--rl-level",
          type=int,
          required=True,
          help="Which level of RL are we running? Base pretrain is 0. Using JSON once is 1. 'existing-train-files' and 'existing-al-files' will be truncated to this length.",
      )
      group.add_argument(
          "--skip-al-generation",
          type=bool,
          default=False,
          help="Skip AL geenration, ie for IN-JSON rains",
      )
      group.add_argument(
          "--skip-train-convo-generation",
          type=bool,
          default=False,
          help="Skip train-convo geenration, ie for ones that don't use json",
      )
      group.add_argument(
          "--nucleus-mm-topp",
          type=float,
          nargs="*",
          default=[],
          help="List of coefficients of nucleus used for train data generation",
      )
      group.add_argument(
          "--api-schemas",
          type=bool,
          help="Is this a yes API Schemas or a no API Schemas model?",
      )
      setup_al_sample_script_args(parser)
  
      return parser
  
imports: from parlai.core.script import ParlaiScript, register_script
  from parlai.scripts.train_model import TrainModel
  from parlai.scripts.distributed_train import DistributedTrain, setup_args
  from parlai.scripts.eval_model import EvalModel
  from parlai.scripts.distributed_eval import DistributedEval
  from parlai.scripts.tod_world_script import TodWorldScript
  from parlai.scripts.distributed_tod_world_script import DistributedTodWorldScript
  from projects.tod_simulator.scripts.get_passing_only import GetPassingOnlyScript
  from projects.tod_simulator.scripts.get_al_samples_for_gsgd import GetAlSamplesForGsgdScript, setup_args
  import copy
  import os
  from shutil import copyfile
  import json
  import random
label_desc: Use image node_id 2 for calling the TodDistributedUberScript obj's underlying member method code with example usage: obj.setup_args(cls) and returns: parser