'''simple docstring'''





import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
    from .tokenization_rembert import RemBertTokenizer
else:
    SCREAMING_SNAKE_CASE_:	Union[str, Any]    =None

SCREAMING_SNAKE_CASE_:	Any    =logging.get_logger(__name__)
SCREAMING_SNAKE_CASE_:	Dict    ={'vocab_file': 'sentencepiece.model', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE_:	Optional[int]    ={
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
    'tokenizer_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/tokenizer.json',
    },
}

SCREAMING_SNAKE_CASE_:	int    ={
    'google/rembert': 2_56,
}

SCREAMING_SNAKE_CASE_:	Optional[Any]    ='▁'




class 			__A (					UpperCamelCase__      ):
    a__			:		Optional[Any]			  =    VOCAB_FILES_NAMES
    a__			:		Dict			  =    PRETRAINED_VOCAB_FILES_MAP
    a__			:		Any			  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__			:		Any			  =    RemBertTokenizer



    def __init__(self       :       Dict  ,     __a       :       List[Any]=None  ,     __a       :       List[Any]=None  ,     __a       :       Dict=True  ,     __a       :       Any=True  ,     __a       :       Optional[Any]=False  ,     __a       :       List[Any]="[CLS]"  ,     __a       :       Dict="[SEP]"  ,     __a       :       str="<unk>"  ,     __a       :       int="[SEP]"  ,     __a       :       Dict="<pad>"  ,     __a       :       List[str]="[CLS]"  ,     __a       :       Optional[int]="[MASK]"  ,     **__a       :       List[Any]  ,     ):
         # Mask token behave like a normal word, i.e. include the space before it
         UpperCAmelCase_			       =  AddedToken(__a  ,     lstrip=__a  ,     rstrip=__a					) if isinstance(__a  ,     __a					) else mask_token

         super().__init__(
             __a  ,     tokenizer_file=__a  ,     do_lower_case=__a  ,     remove_space=__a  ,     keep_accents=__a  ,     bos_token=__a  ,     eos_token=__a  ,     unk_token=__a  ,     sep_token=__a  ,     pad_token=__a  ,     cls_token=__a  ,     mask_token=__a  ,     **__a  ,     )

         UpperCAmelCase_			       =  do_lower_case
         UpperCAmelCase_			       =  remove_space
         UpperCAmelCase_			       =  keep_accents
         UpperCAmelCase_			       =  vocab_file
         UpperCAmelCase_			       =  False if not self.vocab_file else True



    def    _lowercase		(self       :       List[str]  ,     __a       :       List[int]  ,     __a       :       Optional[List[int]] = None					):
         UpperCAmelCase_			       =  [self.sep_token_id]
         UpperCAmelCase_			       =  [self.cls_token_id]
         if token_ids_a is None:
              return cls + token_ids_a + sep
         return cls + token_ids_a + sep + token_ids_a + sep



    def    _lowercase		(self       :       Tuple  ,     __a       :       List[int]  ,     __a       :       Optional[List[int]] = None  ,     __a       :       bool = False					):

         if already_has_special_tokens:
              if token_ids_a is not None:
                   raise ValueError(
                       "You should not supply a second sequence if the provided sequence of "
                       "ids is already formatted with special tokens for the model."					)
              return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

         if token_ids_a is not None:
              return [1] + ([0] * len(__a					)) + [1] + ([0] * len(__a					)) + [1]
         return [1] + ([0] * len(__a					)) + [1]



    def    _lowercase		(self       :       Any  ,     __a       :       List[int]  ,     __a       :       Optional[List[int]] = None					):
         UpperCAmelCase_			       =  [self.sep_token_id]
         UpperCAmelCase_			       =  [self.cls_token_id]

         if token_ids_a is None:
              return len(cls + token_ids_a + sep					) * [0]
         return len(cls + token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]






    def    _lowercase		(self       :       Dict  ,     __a       :       str  ,     __a       :       Optional[str] = None					):
         if not os.path.isdir(__a					):
              logger.error("Vocabulary path ({}) should be a directory".format(__a					)					)
              return
         UpperCAmelCase_			       =  os.path.join(
             __a  ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)

         if os.path.abspath(self.vocab_file					) != os.path.abspath(__a					):
              copyfile(self.vocab_file  ,     __a					)

         return (out_vocab_file,)








class   SCREAMING_SNAKE_CASE_			:




       '''simple docstring'''



       def __init__(						self				:				List[Any]							)					->Tuple:
          lowerCamelCase_						:   Optional[Any]		= """"""
          lowerCamelCase_						:   Dict		= """"""
          lowerCamelCase_						:   Optional[Any]		= []



       def 				_lowerCAmelCase							(						self				:				Optional[Any]		,				__a				:				int		,				__a				:				int							)					->int:
          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_						:   Optional[Any]		= self.__min_dist_top_down_dp(m - 1		,				n - 1							)
             else:
                lowerCamelCase_						:   List[Any]		= self.__min_dist_top_down_dp(__a		,				n - 1							)
                lowerCamelCase_						:   Union[str, Any]		= self.__min_dist_top_down_dp(m - 1		,				__a							)
                lowerCamelCase_						:   Any		= self.__min_dist_top_down_dp(m - 1		,				n - 1							)
                lowerCamelCase_						:   Tuple		= 1 + min(__a		,				__a		,				__a							)

             return self.dp[m][n]



       def 				_lowerCAmelCase							(						self				:				Any		,				__a				:				str		,				__a				:				str							)					->int:
          lowerCamelCase_						:   Dict		= worda
          lowerCamelCase_						:   str		= worda
          lowerCamelCase_						:   Union[str, Any]		= [[-1 for _ in range(len(__a							)							)] for _ in range(len(__a							)							)]

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




       def 				_lowerCAmelCase							(						self				:				int		,				__a				:				str		,				__a				:				str							)					->int:
          lowerCamelCase_						:   Tuple		= worda
          lowerCamelCase_						:   Optional[Any]		= worda
          lowerCamelCase_						:   Tuple		= len(__a							)
          lowerCamelCase_						:   Optional[Any]		= len(__a							)
          lowerCamelCase_						:   List[Any]		= [[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_						:   Optional[Any]		= j
                elif j == 0:  # second string is empty
                   lowerCamelCase_						:   Any		= i
                elif worda[i - 1] == worda[j - 1]:  # last characters are equal
                   lowerCamelCase_						:   Tuple		= self.dp[i - 1][j - 1]
                else:
                   lowerCamelCase_						:   Dict		= self.dp[i][j - 1]
                   lowerCamelCase_						:   Union[str, Any]		= self.dp[i - 1][j]
                   lowerCamelCase_						:   Any		= self.dp[i - 1][j - 1]
                   lowerCamelCase_						:   Optional[int]		= 1 + min(__a		,				__a		,				__a							)
          return self.dp[m][n]


if __name__ == "__main__":
      snake_case__				:	Optional[Any]					       =					EditDistance()

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

      snake_case__				:	Union[str, Any]					       =					input('Enter the first string: ').strip()
      snake_case__				:	List[Any]					       =					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 ***************')





