import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowercase_  : int								=					logging.get_logger(__name__)






class 		_lowerCamelCase		( UpperCamelCase_     ):
    def __init__(	self			,			*lowerCAmelCase			,			**lowerCAmelCase )							->       None:
     warnings.warn(
         '''The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
         ''' Please use LayoutLMv2ImageProcessor instead.'''			,			lowerCAmelCase			,			)
     super().__init__(*lowerCAmelCase			,			**lowerCAmelCase )









from __future__ import annotations







def     a_   (__A      )				->						int:



					"""simple docstring"""
					__a					:						List[Any]      =					len(__A      ) // 2

					# choose the middle 3 elements
					__a					:						Any      =					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()





