



import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


__lowerCamelCase     :							Optional[Any]  							=				logging.get_logger(__name__)





class  __magic_name__   (							A__						):






		def __init__(						self      :     Union[str, Any]				,		*UpperCamelCase__      :     Optional[Any]				,		**UpperCamelCase__      :     Optional[Any]      )				->					None:
								'''simple docstring'''







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








from __future__ import annotations

def    lowerCamelCase_(lowerCamelCase_    ) ->       int:
						UpperCAmelCase         =     len(lowerCamelCase_    ) // 2

						# choose the middle 3 elements
						UpperCAmelCase         =     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()



