




from __future__ import annotations

_A     =			[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
_A     =			[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]





def __UpperCamelCase			(       _A  ):
						lowerCAmelCase_      			=  []
						lowerCAmelCase_      			=  len(_A  )

						for i in range(_A  ):
												lowerCAmelCase_      			=  -1
												for j in range(i + 1 ,  _A  ):
																		if arr[i] < arr[j]:
																								lowerCAmelCase_      			=  arr[j]
																								break
												result.append(_A  )
						return result





def __UpperCamelCase			(       _A  ):
						lowerCAmelCase_      			=  []
						for i, outer in enumerate(_A  ):
												lowerCAmelCase_      			=  -1
												for inner in arr[i + 1 :]:
																		if outer < inner:
																								lowerCAmelCase_      			=  inner
																								break
												result.append(_A  )
						return result





def __UpperCamelCase			(       _A  ):
						lowerCAmelCase_      			=  len(_A  )
						lowerCAmelCase_      			=  []
						lowerCAmelCase_      			=  [-1] * arr_size

						for index in reversed(range(_A  )  ):
												if stack:
																		while stack[-1] <= arr[index]:
																								stack.pop()
																								if not stack:
																														break
												if stack:
																		lowerCAmelCase_      			=  stack[-1]
												stack.append(arr[index]  )
						return result


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

						testmod()
						print(next_greatest_element_slow(arr))
						print(next_greatest_element_fast(arr))
						print(next_greatest_element(arr))

						_A     =			(
						    '''from __main__ import arr, next_greatest_element_slow, '''
						    '''next_greatest_element_fast, next_greatest_element'''
						)
						print(
						    '''next_greatest_element_slow():''',
						    timeit('''next_greatest_element_slow(arr)''', setup=setup),
						)
						print(
						    '''next_greatest_element_fast():''',
						    timeit('''next_greatest_element_fast(arr)''', setup=setup),
						)
						print(
						    '''     next_greatest_element():''',
						    timeit('''next_greatest_element(arr)''', setup=setup),
						)










import warnings

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


_A     =			logging.get_logger(__name__)


class  A		(  __UpperCAmelCase     ):



		def __init__(     self,	*UpperCamelCase__,	**UpperCamelCase__   ):







								"""simple docstring"""



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




