





import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


lowercase				:	Any      						=  logging.get_logger(__name__)





class 			A__   (							__UpperCAmelCase     ):




   """simple docstring"""



   def __init__( self ,  *lowercase ,  **lowercase)      ->						None:







          '''simple docstring'''

          warnings.warn(
              'The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
              ' Please use PoolFormerImageProcessor instead.' ,  lowercase ,  )
          super().__init__(*lowercase ,  **lowercase)









def A_     (		A__    )  ->		int:

       if not isinstance(A__		,				A__    ):
              raise TypeError('only integers accepted as input'    )
       else:
              a__						:     List[Any]			=    str(abs(A__    )    )
              a__						:     Optional[int]			=    [list(A__    ) for char in range(len(A__    )    )]
              for index in range(len(A__    )    ):
                     num_transpositions[index].pop(A__    )
              return max(
                  int(''.join(list(A__    )    )    ) for transposition in num_transpositions    )


if __name__ == "__main__":
    __import__("""doctest""").testmod()


