


'''simple docstring'''






def 		_A			(lowerCAmelCase__					:list						)				->					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]
     _a      =							grid[0]

     for row_n in range(1			,  len(lowerCAmelCase__						)						):
          _a      =							grid[row_n]
          _a      =							fill_row(lowerCAmelCase__			,  lowerCAmelCase__						)
          _a      =							grid[row_n]

     return grid[-1][-1]






def 		_A			(lowerCAmelCase__					:list			,  lowerCAmelCase__					:list						)				->					list:




     '''simple docstring'''



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

     return current_row


if __name__ == "__main__":
 import doctest

 doctest.testmod()





'''simple docstring'''






import warnings

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


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




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

