





import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


UpperCAmelCase     :     Optional[Any]							=	logging.get_logger(__name__)







class     __lowerCAmelCase	(   UpperCamelCase__):







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



        '''simple docstring'''




        warnings.warn(
            "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use PerceiverImageProcessor instead."		,				lowerCAmelCase__		,				)
        super().__init__(*lowerCAmelCase__		,				**lowerCAmelCase__							)













def 					_A	(		SCREAMING_SNAKE_CASE					:       int = 1	,	SCREAMING_SNAKE_CASE					:       int = 1_000						):





  """simple docstring"""



  a__     : Any  =1
  a__     : Any  =0

  for divide_by_number in range(SCREAMING_SNAKE_CASE	,	digit + 1						):
    a__     : list[int]  =[]
    a__     : int  =numerator
    for _ in range(1	,	digit + 1						):
      if now_divide in has_been_divided:
        if longest_list_length < len(SCREAMING_SNAKE_CASE						):
          a__     : Optional[Any]  =len(SCREAMING_SNAKE_CASE						)
          a__     : List[str]  =divide_by_number
      else:
        has_been_divided.append(SCREAMING_SNAKE_CASE						)
        a__     : List[Any]  =now_divide * 10 % divide_by_number

  return the_digit


# Tests
if __name__ == "__main__":
     import doctest

     doctest.testmod()






