


from __future__ import annotations







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase							,   __lowerCAmelCase = None							,   __lowerCAmelCase = None				)    ->				None:
  if start is None:
    snake_case__						= 0

  if end is None:
    snake_case__						= len(__lowerCAmelCase				) - 1

  if start >= end:
    return

  snake_case__						= (start + end) // 2

  slowsort(__lowerCAmelCase							,   __lowerCAmelCase							,   __lowerCAmelCase				)
  slowsort(__lowerCAmelCase							,   mid + 1							,   __lowerCAmelCase				)

  if sequence[end] < sequence[mid]:
    snake_case__				,				snake_case__						= sequence[mid], sequence[end]

  slowsort(__lowerCAmelCase							,   __lowerCAmelCase							,   end - 1				)


if __name__ == "__main__":
   from doctest import testmod

   testmod()





import warnings

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


lowerCamelCase__							:						int							     =   logging.get_logger(__name__)
class 		__magic_name__						(snake_case_				):





     '''simple docstring'''



     def __init__(					self:List[Any]     ,		*_a:Dict     ,		**_a:Tuple   ):
       warnings.warn(
           '''The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
           ''' Please use PerceiverImageProcessor instead.'''     ,		_a     ,		)
       super().__init__(*_a     ,		**_a   )

