






import functools




def      lowercase__      (     __snake_case    :							str     ,       __snake_case    :							str  ):


					'''simple docstring'''


					UpperCAmelCase_    :      List[str]            =						len(__snake_case  )
					UpperCAmelCase_    :      Dict            =						len(__snake_case  )

					@functools.cache
					def min_distance(__snake_case    :							int     ,       __snake_case    :							int  ) -> int:
										# if first word index is overflow - delete all from the second word
										if indexa >= len_worda:
															return len_worda - indexa
										# if second word index is overflow - delete all from the first word
										if indexa >= len_worda:
															return len_worda - indexa
										UpperCAmelCase_    :      List[str]            =						int(worda[indexa] != worda[indexa]  )  # current letters not identical
										return min(
										    1 + min_distance(indexa + 1     ,       __snake_case  )     ,       1 + min_distance(__snake_case     ,       indexa + 1  )     ,       diff + min_distance(indexa + 1     ,       indexa + 1  )     ,       )

					return min_distance(0     ,       0  )


if __name__ == "__main__":
		import doctest

		doctest.testmod()














import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


__UpperCAmelCase								=						logging.get_logger(__name__)



class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



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






