"""simple docstring"""







from argparse import ArgumentParser

from . import BaseTransformersCLICommand



def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     Dict      ):
     return DownloadCommand(args.model     ,			args.cache_dir     ,			args.force     ,			args.trust_remote_code      )







class        UpperCamelCase		(			lowercase_  ):
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase			)	->      Optional[Any]:


        '''simple docstring'''


        lowercase_	:				int													=	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     ,__UpperCamelCase     ,__UpperCamelCase     ,__UpperCamelCase     ,__UpperCamelCase			)	->      Union[str, Any]:


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	model
        lowercase_	:				List[str]													=	cache
        lowercase_	:				List[Any]													=	force
        lowercase_	:				str													=	trust_remote_code







   def 			_UpperCAmelCase   (			self			)	->      Optional[int]:


        '''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			)


"""simple docstring"""







def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     list      ):

     if len(__SCREAMING_SNAKE_CASE      ) < 2:
          return collection

     def circle_sort_util(__SCREAMING_SNAKE_CASE							:     list     ,			__SCREAMING_SNAKE_CASE							:     int     ,			__SCREAMING_SNAKE_CASE							:     int      ) -> bool:
          lowercase_	:				Any													=	False

          if low == high:
               return swapped

          lowercase_	:				str													=	low
          lowercase_	:				int													=	high

          while left < right:
               if collection[left] > collection[right]:
                    lowercase_							,  lowercase_	:				Optional[Any]													=	(
                        collection[right],
                        collection[left],
                    )
                    lowercase_	:				Tuple													=	True

               left += 1
               right -= 1

          if left == right and collection[left] > collection[right + 1]:
               lowercase_							,  lowercase_	:				Dict													=	(
                   collection[right + 1],
                   collection[left],
               )

               lowercase_	:				str													=	True

          lowercase_	:				Optional[Any]													=	low + int((high - low) / 2      )
          lowercase_	:				str													=	circle_sort_util(__SCREAMING_SNAKE_CASE     ,			__SCREAMING_SNAKE_CASE     ,			__SCREAMING_SNAKE_CASE      )
          lowercase_	:				List[Any]													=	circle_sort_util(__SCREAMING_SNAKE_CASE     ,			mid + 1     ,			__SCREAMING_SNAKE_CASE      )

          return swapped or left_swap or right_swap

     lowercase_	:				Dict													=	True

     while is_not_sorted is True:
          lowercase_	:				Optional[Any]													=	circle_sort_util(__SCREAMING_SNAKE_CASE     ,			0     ,			len(__SCREAMING_SNAKE_CASE      ) - 1      )

     return collection


if __name__ == "__main__":
       __SCREAMING_SNAKE_CASE    	=input("Enter numbers separated by a comma:\n").strip()
       __SCREAMING_SNAKE_CASE    	=[int(item) for item in user_input.split(",")]
       print(circle_sort(unsorted))

