


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_camembert import CamembertTokenizer
else:
    a_ :Tuple  							=			None


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

a_ :int  							=			{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

a_ :List[Any]  							=			{
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

a_ :Tuple  							=			{
    'camembert-base': 5_12,
}

a_ :Dict  							=			'▁'

class 							lowercase  (						_UpperCAmelCase			):
     lowerCamelCase			:			Tuple      = VOCAB_FILES_NAMES
     lowerCamelCase			:			Tuple      = PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase			:			List[str]      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase			:			Any      = ['''input_ids''', '''attention_mask''']
     lowerCamelCase			:			Tuple      = CamembertTokenizer







     def __init__(						self :						int   ,   _lowercase :						int=None   ,   _lowercase :						List[str]=None   ,   _lowercase :						Optional[int]="<s>"   ,   _lowercase :						Optional[int]="</s>"   ,   _lowercase :						Tuple="</s>"   ,   _lowercase :						str="<s>"   ,   _lowercase :						Tuple="<unk>"   ,   _lowercase :						str="<pad>"   ,   _lowercase :						Dict="<mask>"   ,   _lowercase :						List[str]=["<s>NOTUSED", "</s>NOTUSED"]   ,   **_lowercase :						List[str]   ,   ):
           # Mask token behave like a normal word, i.e. include the space before it
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		AddedToken(_lowercase   ,   lstrip=_lowercase   ,   rstrip=_lowercase      ) if isinstance(_lowercase   ,   _lowercase      ) else mask_token

           super().__init__(
               _lowercase   ,   tokenizer_file=_lowercase   ,   bos_token=_lowercase   ,   eos_token=_lowercase   ,   sep_token=_lowercase   ,   cls_token=_lowercase   ,   unk_token=_lowercase   ,   pad_token=_lowercase   ,   mask_token=_lowercase   ,   additional_special_tokens=_lowercase   ,   **_lowercase   ,   )

           SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		vocab_file
           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		False if not self.vocab_file else True







     def 							lowercase__       (						self :						List[str]   ,   _lowercase :						List[int]   ,   _lowercase :						Optional[List[int]] = None      ):

           if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		[self.cls_token_id]
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		[self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep







     def 							lowercase__       (						self :						Dict   ,   _lowercase :						List[int]   ,   _lowercase :						Optional[List[int]] = None      ):
           SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		[self.sep_token_id]
           SCREAMING_SNAKE_CASE__       :  str						     =		[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 + sep + token_ids_a + sep      ) * [0]







     def 							lowercase__       (						self :						Any   ,   _lowercase :						str   ,   _lowercase :						Optional[str] = None      ):
           if not self.can_save_slow_tokenizer:
                 raise ValueError(
                     '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                     '''tokenizer.'''      )

           if not os.path.isdir(_lowercase      ):
                 logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
                 return
           SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		os.path.join(
               _lowercase   ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

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

           return (out_vocab_file,)












from __future__ import annotations

from typing import TypedDict





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       42
 lowercase_							       =       42


def    UpperCAmelCase_				( __UpperCAmelCase		:      str				)   ->					list[str]:
      if not isinstance(__UpperCAmelCase     ,     __UpperCAmelCase				):
            raise TypeError('The parameter s type must be str.'				)

      return [s[i:] + s[:i] for i in range(len(__UpperCAmelCase				)				)]

def    UpperCAmelCase_				( __UpperCAmelCase		:      str				)   ->					BWTTransformDict:
      if not isinstance(__UpperCAmelCase     ,     __UpperCAmelCase				):
            raise TypeError('The parameter s type must be str.'				)
      if not s:
            raise ValueError('The parameter s must not be empty.'				)

      SCREAMING_SNAKE_CASE_      		=     all_rotations(__UpperCAmelCase				)
      rotations.sort()  # sort the list of rotations in alphabetically order
      # make a string composed of the last char of each rotation
      SCREAMING_SNAKE_CASE_      		=     {
          "bwt_string": "".join([word[-1] for word in rotations]				),
          "idx_original_string": rotations.index(__UpperCAmelCase				),
      }
      return response

def    UpperCAmelCase_				( __UpperCAmelCase		:      str     ,     __UpperCAmelCase		:      int				)   ->					str:
      if not isinstance(__UpperCAmelCase     ,     __UpperCAmelCase				):
            raise TypeError('The parameter bwt_string type must be str.'				)
      if not bwt_string:
            raise ValueError('The parameter bwt_string must not be empty.'				)
      try:
            SCREAMING_SNAKE_CASE_      		=     int(__UpperCAmelCase				)
      except ValueError:
            raise TypeError(
                'The parameter idx_original_string type must be int or passive'
                ' of cast to int.'				)
      if idx_original_string < 0:
            raise ValueError('The parameter idx_original_string must not be lower than 0.'				)
      if idx_original_string >= len(__UpperCAmelCase				):
            raise ValueError(
                'The parameter idx_original_string must be lower than' ' len(bwt_string).'				)

      SCREAMING_SNAKE_CASE_      		=     [''] * len(__UpperCAmelCase				)
      for _ in range(len(__UpperCAmelCase				)				):
            for i in range(len(__UpperCAmelCase				)				):
                  SCREAMING_SNAKE_CASE_      		=     bwt_string[i] + ordered_rotations[i]
            ordered_rotations.sort()
      return ordered_rotations[idx_original_string]


if __name__ == "__main__":
   lowerCamelCase__					:  Optional[int]      							=				'Provide a string that I will generate its BWT transform: '
   lowerCamelCase__					:  List[str]      							=				input(entry_msg).strip()
   lowerCamelCase__					:  int      							=				bwt_transform(s)
   print(
       f'''Burrows Wheeler transform for string \'{s}\' results '''
       f'''in \'{result['bwt_string']}\''''
   )
   lowerCamelCase__					:  Dict      							=				reverse_bwt(result['bwt_string'], result['idx_original_string'])
   print(
       f'''Reversing Burrows Wheeler transform for entry \'{result['bwt_string']}\' '''
       f'''we get original string \'{original_string}\''''
   )