



from __future__ import annotations







def       lowerCAmelCase_     (lowerCAmelCase__:						list[list[int]]   ):





			"""simple docstring"""


			for i in range(1						,		len(matrix[0]   )   ):
						matrix[0][i] += matrix[0][i - 1]

			# preprocessing the first column
			for i in range(1						,		len(__a   )   ):
						matrix[i][0] += matrix[i - 1][0]

			# updating the path cost for current position
			for i in range(1						,		len(__a   )   ):
						for j in range(1						,		len(matrix[0]   )   ):
									matrix[i][j] += min(matrix[i - 1][j]						,		matrix[i][j - 1]   )

			return matrix[-1][-1]


if __name__ == "__main__":
	import doctest

	doctest.testmod()








'''simple docstring'''







import warnings

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


__lowerCAmelCase         =    logging.get_logger(__name__)







class UpperCAmelCase__	( lowercase__	):





  """simple docstring"""

  def __init__(		self      :     int							,*_a      :     Optional[int]							,**_a      :     str       ):


     '''simple docstring'''






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



