





from argparse import ArgumentParser

from . import BaseTransformersCLICommand
def      _A       (		SCREAMING_SNAKE_CASE     :   Any						):





  """simple docstring"""



  return DownloadCommand(args.model       ,       args.cache_dir       ,       args.force       ,       args.trust_remote_code						)







class 				__lowerCAmelCase       (    UpperCamelCase__):







      @staticmethod
      def    _lowercase  (    lowerCAmelCase__							)   ->						Tuple:



        '''simple docstring'''




        a__	:					List[str]										=parser.add_parser("download"							)
        download_parser.add_argument(
            "--cache-dir"		,      type=lowerCAmelCase__		,      default=lowerCAmelCase__		,      help="Path to location to store the models"							)
        download_parser.add_argument(
            "--force"		,      action="store_true"		,      help="Force the model to be download even if already in cache-dir"							)
        download_parser.add_argument(
            "--trust-remote-code"		,      action="store_true"		,      help="Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"		,      )
        download_parser.add_argument("model"		,      type=lowerCAmelCase__		,      help="Name of the model to download"							)
        download_parser.set_defaults(func=lowerCAmelCase__							)







      def __init__(    self		,      lowerCAmelCase__		,      lowerCAmelCase__		,      lowerCAmelCase__		,      lowerCAmelCase__							)   ->						Optional[Any]:



        '''simple docstring'''




        a__	:					Tuple										=model
        a__	:					Optional[int]										=cache
        a__	:					Any										=force
        a__	:					Dict										=trust_remote_code







      def    _lowercase  (    self							)   ->						Union[str, Any]:



        '''simple docstring'''




        from ..models.auto import AutoModel, AutoTokenizer

        AutoModel.from_pretrained(
            self._model		,      cache_dir=self._cache		,      force_download=self._force		,      trust_remote_code=self._trust_remote_code							)
        AutoTokenizer.from_pretrained(
            self._model		,      cache_dir=self._cache		,      force_download=self._force		,      trust_remote_code=self._trust_remote_code							)













def      _A       (		SCREAMING_SNAKE_CASE     :   int = 50						):





  """simple docstring"""



  a__	:					Any										=[1] * (length + 1)

  for row_length in range(3       ,       length + 1						):
    for block_length in range(3       ,       row_length + 1						):
      for block_start in range(row_length - block_length						):
        ways_number[row_length] += ways_number[
            row_length - block_start - block_length - 1
        ]

      ways_number[row_length] += 1

  return ways_number[length]


if __name__ == "__main__":
     print(F"""{solution() = }""")






