code: def main():
      parser = argparse.ArgumentParser()
      parser.add_argument("INPUT", help="input sentence data")
      parser.add_argument("OUTPUT", help="output sentence data")
      parser.add_argument(
          "--vocab-file", help="vocabulary file to save"
      )
      parser.add_argument(
          "--vocab-size",
          type=int,
          default=40000,
          help="size of vocabulary file",
      )
      parser.add_argument(
          "--lower", action="store_true", help="use lower case"
      )
      args = parser.parse_args()
  
      proc_dataset(
          args.INPUT,
          args.OUTPUT,
          vocab_path=args.vocab_file,
          vocab_size=args.vocab_size,
          use_lower=args.lower,
      )
  
file_path: chainer/examples/seq2seq/wmt_preprocess.py
imports: from __future__ import unicode_literals
  import argparse
  import collections
  import io
  import re
  import progressbar
label_desc: Use image node_id 5 for calling a global function with example usage: main() without return types