code: def main(args=None):
      args = parse_args(args=args)
  
      utils.set_random_seed(args["seed"])
  
      logger.info(
          "Running {} character-level language model in {} mode".format(
              args["direction"], args["mode"]
          )
      )
  
      utils.ensure_dir(args["save_dir"])
  
      if args["mode"] == "train":
          train(args)
      else:
          evaluate(args)
  
imports: import argparse
  from copy import copy
  import logging
  import lzma
  import math
  import os
  import random
  import time
  from types import GeneratorType
  import numpy
  import torch
  from stanza.models.common.char_model import build_charlm_vocab, CharacterLanguageModel, CharacterLanguageModelTrainer
  from stanza.models.common.vocab import CharVocab
  from stanza.models.common import utils
  from stanza.models import _training_logging
label_desc: Use image node_id 9 for calling a global function with example usage: main(args) without return types