


def 			UpperCamelCase (     __magic_name__					:							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]
		lowercase__					      =		grid[0]

		for row_n in range(1   ,   len(__magic_name__					)					):
				lowercase__					      =		grid[row_n]
				lowercase__					      =		fill_row(__magic_name__   ,   __magic_name__					)
				lowercase__					      =		grid[row_n]

		return grid[-1][-1]






def 			UpperCamelCase (     __magic_name__					:							list   ,   __magic_name__					:							list					)       ->  list:
		"""simple docstring"""




		current_row[0] += row_above[0]
		for cell_n in range(1   ,   len(__magic_name__					)					):
				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	:		List[Any]    =       logging.get_logger(__name__)



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					def __init__(self   :						List[Any]				, *_UpperCAmelCase   :						int				, **_UpperCAmelCase   :						List[str]		)						->       None:




							"""simple docstring"""


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

