code: def main(args=None):
      args = parse_args(args=args)
  
      utils.set_random_seed(args.seed)
  
      args = vars(args)
      logger.info(
          "Running MWT expander in {} mode".format(args["mode"])
      )
  
      if args["mode"] == "train":
          train(args)
      else:
          evaluate(args)
  
imports: import sys
  import os
  import shutil
  import time
  from datetime import datetime
  import argparse
  import logging
  import numpy
  import random
  import torch
  from torch import nn, optim
  import copy
  from stanza.models.mwt.data import DataLoader
  from stanza.models.mwt.vocab import Vocab
  from stanza.models.mwt.trainer import Trainer
  from stanza.models.mwt import scorer
  from stanza.models.common import utils
  import stanza.models.common.seq2seq_constant
  from stanza.models.common.doc import Document
  from stanza.utils.conll import CoNLL
  from stanza.models import _training_logging
label_desc: Use image node_id 3 for calling a global function with example usage: main(args) without return types