






'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


UpperCamelCase      					=logging.get_logger(__name__)




class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 def __init__(				self      ,  *__lowerCAmelCase      ,  **__lowerCAmelCase			):
       warnings.warn(
           """The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
           """ use BeitImageProcessor instead."""      ,  lowercase__      ,  )
       super().__init__(*lowercase__      ,  **lowercase__			)







from __future__ import annotations

from random import choice






def _lowerCamelCase  (		snake_case  ):
							return choice(snake_case  )






def _lowerCamelCase  (		snake_case     , snake_case  ):
							_lowerCAmelCase							=							random_pivot(snake_case  )

							# partition based on pivot
							# linear time
							_lowerCAmelCase							=							[e for e in lst if e < pivot]
							_lowerCAmelCase							=							[e for e in lst if e > pivot]

							# if we get lucky, pivot might be the element we want.
							# we can easily see this:
							# small (elements smaller than k)
							# + pivot (kth element)
							# + big (elements larger than k)
							if len(snake_case  ) == k - 1:
														return pivot
							# pivot is in elements bigger than k
							elif len(snake_case  ) < k - 1:
														return kth_number(snake_case     , k - len(snake_case  ) - 1  )
							# pivot is in elements smaller than k
							else:
														return kth_number(snake_case     , snake_case  )


if __name__ == "__main__":
				import doctest

				doctest.testmod()






