from argparse import ArgumentParser

from . import BaseTransformersCLICommand




def        lowerCAmelCase_			(					__A							)					->    Tuple:







      '''simple docstring'''


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







class 					A							(    UpperCAmelCase_					):


   @staticmethod
   def       lowercase_				(__UpperCAmelCase					:						ArgumentParser		)						->    str:
         """simple docstring"""



         UpperCAmelCase__								=  parser.add_parser("download"		)
         download_parser.add_argument(
             "--cache-dir"	,  type=__UpperCAmelCase	,  default=__UpperCAmelCase	,  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=__UpperCAmelCase	,  help="Name of the model to download"		)
         download_parser.set_defaults(func=__UpperCAmelCase		)


   def __init__(self					:						List[Any]	,  __UpperCAmelCase					:						str	,  __UpperCAmelCase					:						str	,  __UpperCAmelCase					:						bool	,  __UpperCAmelCase					:						bool		)						->    List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  model
         UpperCAmelCase__								=  cache
         UpperCAmelCase__								=  force
         UpperCAmelCase__								=  trust_remote_code





   def       lowercase_				(self					:						Optional[Any]		)						->    str:
         """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		)

from __future__ import annotations




def        lowerCAmelCase_			(					__A							)					->    list[int]:







      '''simple docstring'''


      if len(__A							) == 0:
            return array

      UpperCAmelCase__		,				UpperCAmelCase__								=  min(__A							), max(__A							)

      # Compute the variables
      UpperCAmelCase__								=  _max - _min + 1
      UpperCAmelCase__		,				UpperCAmelCase__								=  [0] * holes_range, [0] * holes_range

      # Make the sorting.
      for i in array:
            UpperCAmelCase__								=  i - _min
            UpperCAmelCase__								=  i
            holes_repeat[index] += 1

      # Makes the array back by replacing the numbers.
      UpperCAmelCase__								=  0
      for i in range(__A							):
            while holes_repeat[i] > 0:
                  UpperCAmelCase__								=  holes[i]
                  index += 1
                  holes_repeat[i] -= 1

    # Returns the sorted array.
      return array


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      UpperCamelCase__    							= input('Enter numbers separated by comma:\n')
      UpperCamelCase__    							= [int(x) for x in user_input.split(',')]
      print(pigeon_sort(unsorted))



