



from __future__ import annotations







def     UpperCAmelCase_		(					snake_case__					)	->     int:



				"""simple docstring"""





				lowerCAmelCase__		  =  len(_UpperCAmelCase					) // 2

				# choose the middle 3 elements
				lowerCAmelCase__		  =  lst[m - 1 : m + 2]

				# if middle element is peak
				if three[1] > three[0] and three[1] > three[2]:
								return three[1]

				# if increasing, recurse on right
				elif three[0] < three[2]:
								if len(lst[:m]					) == 2:
												m -= 1
								return peak(lst[m:]					)

				# decreasing
				else:
								if len(lst[:m]					) == 2:
												m += 1
								return peak(lst[:m]					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()


import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


UpperCamelCase_						:     List[str]	       =							logging.get_logger(__name__)




class   __lowercase						(						__snake_case       ):






	def __init__(self				: int      ,	*snake_case				: Optional[Any]      ,	**snake_case				: Optional[Any]    ) ->			None:
							warnings.warn(
							    "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use FlavaImageProcessor instead."      ,	snake_case      ,	)
							super().__init__(*snake_case      ,	**snake_case    )




