




"""simple docstring"""


class _lowerCamelCase    :






   def __init__(		self       :		Optional[int]   )			->						Optional[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	''''''
         lowerCAmelCase__      :			List[str]   =	''''''
         lowerCAmelCase__      :			List[str]   =	[]






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   ,     UpperCamelCase       :		int   ,     UpperCamelCase       :		int   )			->						int:

         """simple docstring"""







         if m == -1:
               return n + 1
         elif n == -1:
               return m + 1
         elif self.dp[m][n] > -1:
               return self.dp[m][n]
         else:
               if self.worda[m] == self.worda[n]:
                     lowerCAmelCase__      :			Dict   =	self.__min_dist_top_down_dp(m - 1   ,     n - 1   )
               else:
                     lowerCAmelCase__      :			Dict   =	self.__min_dist_top_down_dp(UpperCamelCase__   ,     n - 1   )
                     lowerCAmelCase__      :			int   =	self.__min_dist_top_down_dp(m - 1   ,     UpperCamelCase__   )
                     lowerCAmelCase__      :			Union[str, Any]   =	self.__min_dist_top_down_dp(m - 1   ,     n - 1   )
                     lowerCAmelCase__      :			List[str]   =	1 + min(UpperCamelCase__   ,     UpperCamelCase__   ,     UpperCamelCase__   )

               return self.dp[m][n]






   def 	_lowerCAmelCase   (		self       :		List[Any]   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		str   )			->						int:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[Any]   =	worda
         lowerCAmelCase__      :			Optional[int]   =	worda
         lowerCAmelCase__      :			Union[str, Any]   =	[[-1 for _ in range(len(UpperCamelCase__   )   )] for _ in range(len(UpperCamelCase__   )   )]

         return self.__min_dist_top_down_dp(len(UpperCamelCase__   ) - 1   ,     len(UpperCamelCase__   ) - 1   )






   def 	_lowerCAmelCase   (		self       :		str   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		str   )			->						int:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	worda
         lowerCAmelCase__      :			Tuple   =	worda
         lowerCAmelCase__      :			List[Any]   =	len(UpperCamelCase__   )
         lowerCAmelCase__      :			Dict   =	len(UpperCamelCase__   )
         lowerCAmelCase__      :			Tuple   =	[[0 for _ in range(n + 1   )] for _ in range(m + 1   )]

         for i in range(m + 1   ):
               for j in range(n + 1   ):
                     if i == 0:  # first string is empty
                           lowerCAmelCase__      :			int   =	j
                     elif j == 0:  # second string is empty
                           lowerCAmelCase__      :			str   =	i
                     elif worda[i - 1] == worda[j - 1]:  # last characters are equal
                           lowerCAmelCase__      :			Optional[Any]   =	self.dp[i - 1][j - 1]
                     else:
                           lowerCAmelCase__      :			Optional[Any]   =	self.dp[i][j - 1]
                           lowerCAmelCase__      :			Tuple   =	self.dp[i - 1][j]
                           lowerCAmelCase__      :			Tuple   =	self.dp[i - 1][j - 1]
                           lowerCAmelCase__      :			Dict   =	1 + min(UpperCamelCase__   ,     UpperCamelCase__   ,     UpperCamelCase__   )
         return self.dp[m][n]


if __name__ == "__main__":
 _A													=      EditDistance()

 print("""****************** Testing Edit Distance DP Algorithm ******************""")
 print()

 _A													=      input("""Enter the first string: """).strip()
 _A													=      input("""Enter the second string: """).strip()

 print()
 print(f"""The minimum edit distance is: {solver.min_dist_top_down(Sa, Sa)}""")
 print(f"""The minimum edit distance is: {solver.min_dist_bottom_up(Sa, Sa)}""")
 print()
 print("""*************** End of Testing Edit Distance DP Algorithm ***************""")











"""simple docstring"""


import warnings

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


_A													=      logging.get_logger(__name__)


class _lowerCamelCase    (					a_						):






   def __init__(		self       :		Union[str, Any]   ,     *UpperCamelCase       :		int   ,     **UpperCamelCase       :		List[Any]   )			->						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   )





