code: def parse_args():
      parser = argparse.ArgumentParser()
  
      parser.add_argument("--vocab_size", type=int, default=30000)
      parser.add_argument("--n_threads", type=int, default=4)
      parser.add_argument(
          "--corpus_size",
          type=int,
          default=100,
          help="Size of testing corpus in MB",
      )
      parser.add_argument(
          "--langs",
          type=str,
          nargs="+",
          help="list of languages for speed test",
          default="ru",
      )
  
      return parser.parse_args()
  
imports: import argparse
  import os
  from pathlib import Path
  from time import time
  from tabulate import tabulate
  from tokenizers import pre_tokenizers
  from tokenizers import Tokenizer
  from tokenizers.models import BPE
  from tokenizers.trainers import BpeTrainer
label_desc: Use image node_id 8 for calling a global function with example usage: parse_args() and returns: parser