





def 	lowerCamelCase_		(							_UpperCamelCase					)						->		int:






				"""simple docstring"""


				if not grid or not grid[0]:
								raise TypeError('''The grid does not contain the appropriate information'''					)

				for cell_n in range(1					,							len(grid[0]					)					):
								grid[0][cell_n] += grid[0][cell_n - 1]
				snake_case_		:       Dict           =    grid[0]

				for row_n in range(1					,							len(_UpperCamelCase					)					):
								snake_case_		:       List[Any]           =    grid[row_n]
								snake_case_		:       List[Any]           =    fill_row(_UpperCamelCase					,							_UpperCamelCase					)
								snake_case_		:       Optional[int]           =    grid[row_n]

				return grid[-1][-1]






def 	lowerCamelCase_		(							_UpperCamelCase					,							_UpperCamelCase					)						->		list:






				"""simple docstring"""


				current_row[0] += row_above[0]
				for cell_n in range(1					,							len(_UpperCamelCase					)					):
								current_row[cell_n] += min(current_row[cell_n - 1]					,							row_above[cell_n]					)

				return current_row


if __name__ == "__main__":
	import doctest

	doctest.testmod()






import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


__a							     =					logging.get_logger(__name__)

class     __a(	_a  ):






    """simple docstring"""





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