code: def main():
      parser = argparse.ArgumentParser()
      group = parser.add_mutually_exclusive_group(required=True)
      group.add_argument(
          "--pretrain",
          default=None,
          type=str,
          help="Where to read the converted PT file",
      )
      group.add_argument(
          "--package",
          default=None,
          type=str,
          help="Use a pretrain package instead",
      )
      parser.add_argument(
          "--download_json",
          default=False,
          action="store_true",
          help="Download the json even if it already exists",
      )
      parser.add_argument(
          "words", type=str, nargs="+", help="Which words to search for"
      )
      args = parser.parse_args()
  
      if args.pretrain:
          pt = Pretrain(args.pretrain)
      else:
          lang, package = args.package.split("_", 1)
          download(
              lang=lang,
              package=None,
              processors={"pretrain": package},
              download_json=args.download_json,
          )
          pt_filename = os.path.join(
              DEFAULT_MODEL_DIR, lang, "pretrain", "%s.pt" % package
          )
          pt = Pretrain(pt_filename)
  
      for word in args.words:
          print("{}: {}".format(word, word in pt.vocab))
  
imports: import argparse
  import os
  from stanza.models.common.pretrain import Pretrain
  from stanza.resources.common import DEFAULT_MODEL_DIR, download
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types