


import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


SCREAMING_SNAKE_CASE_      :			str		  =      logging.get_logger(__name__)

class 		snake_case_      (       UpperCAmelCase_	):







	'''simple docstring'''




	def __init__(	self       :    Optional[int]				,			*__lowerCamelCase       :    Dict				,			**__lowerCamelCase       :    int      )					->   None:

			'''simple docstring'''




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











from __future__ import annotations



def    SCREAMING_SNAKE_CASE							(			snake_case	,      snake_case	,      snake_case	,      snake_case       )		->						None:
		__lowercase	,			__lowercase					=    m - 1, 0
		while i >= 0 and j < n:
				if key == mat[i][j]:
						print(F"Key {key} found at row- {i + 1} column- {j + 1}"       )
						return
				if key < mat[i][j]:
						i -= 1
				else:
						j += 1
		print(F"Key {key} not found"       )



def    SCREAMING_SNAKE_CASE							(			)		->						None:
		__lowercase					=    [[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
		__lowercase					=    int(input('Enter the element to be searched:'       )       )
		print(snake_case       )
		search_in_a_sorted_matrix(snake_case	,      len(snake_case       )	,      len(mat[0]       )	,      snake_case       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()




