code: def setup_args(cls):
      argparser = setup_args()
      argparser.add_argument("--port", type=int, default=None)
      return argparser
  
file_path: ParlAI/parlai/scripts/multiprocessing_train.py
imports: import torch
  import os
  import signal
  import traceback
  import parlai.scripts.train_model
  import parlai.utils.distributed
  import parlai.utils.fsdp
  from parlai.core.script import ParlaiScript, register_script
label_desc: Use image node_id 1 for calling the MultiProcessTrain obj's underlying member method code with example usage: obj.setup_args(cls) and returns: argparser