code: def create_parser():
      parser = argparse.ArgumentParser(
          formatter_class=argparse.RawDescriptionHelpFormatter,
          description="learn BPE-based word segmentation",
      )
  
      parser.add_argument(
          "--input",
          "-i",
          type=argparse.FileType("r"),
          default=sys.stdin,
          metavar="PATH",
          help="Input file (default: standard input).",
      )
      parser.add_argument(
          "--codes",
          "-c",
          type=argparse.FileType("r"),
          metavar="PATH",
          required=True,
          help="File with BPE codes (created by learn_bpe.py).",
      )
      parser.add_argument(
          "--output",
          "-o",
          type=argparse.FileType("w"),
          default=sys.stdout,
          metavar="PATH",
          help="Output file (default: standard output)",
      )
      parser.add_argument(
          "--separator",
          "-s",
          type=str,
          default="@@",
          metavar="STR",
          help="Separator between non-final subword units (default: '%(default)s'))",
      )
      parser.add_argument(
          "--vocabulary",
          type=argparse.FileType("r"),
          default=None,
          metavar="PATH",
          help="Vocabulary file (built with get_vocab.py). If provided, this script reverts any merge operations that produce an OOV.",
      )
      parser.add_argument(
          "--vocabulary-threshold",
          type=int,
          default=None,
          metavar="INT",
          help="Vocabulary threshold. If vocabulary is provided, any word with frequency < threshold will be treated as OOV",
      )
      parser.add_argument(
          "--glossaries",
          type=str,
          nargs="+",
          default=None,
          metavar="STR",
          help="Glossaries. The strings provided in glossaries will not be affected"
          + "by the BPE (i.e. they will neither be broken into subwords, nor concatenated with other subwords",
      )
  
      return parser
  
imports: from __future__ import unicode_literals, division
  import sys
  import codecs
  import io
  import argparse
  import json
  import re
  from collections import defaultdict
  from io import open
label_desc: Use image node_id 1 for calling a global function with example usage: create_parser() and returns: parser