code: 
  
  import json
  import os
  from functools import lru_cache
  from typing import List, Optional, Tuple
  
  import regex as re
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  __A   :     Union[str, Any]      =			logging.get_logger(__name__)
  
  __A   :     str      =			{
      '''vocab_file''': '''vocab.json''',
      '''merges_file''': '''merges.txt''',
  }
  
  __A   :     List[Any]      =			{
      '''vocab_file''': {
          '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
          '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
          '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
          '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
          '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
          '''roberta-large-openai-detector''': (
              '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
          ),
      },
      '''merges_file''': {
          '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
          '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
          '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
          '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
          '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
          '''roberta-large-openai-detector''': (
              '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
          ),
      },
  }
  
  __A   :     str      =			{
      '''roberta-base''': 512,
      '''roberta-large''': 512,
      '''roberta-large-mnli''': 512,
      '''distilroberta-base''': 512,
      '''roberta-base-openai-detector''': 512,
      '''roberta-large-openai-detector''': 512,
  }
  @lru_cache()
  def 		SCREAMING_SNAKE_CASE__				(							)					-> int:
  
  
  
      '''simple docstring'''
  
  
  
  
  
  
      lowerCAmelCase				:			List[Any]    			=      (
          list(range(ord('!'				),      ord('~'				) + 1				)				) + list(range(ord('¡'				),      ord('¬'				) + 1				)				) + list(range(ord('®'				),      ord('ÿ'				) + 1				)				)
      )
      lowerCAmelCase				:			Tuple    			=      bs[:]
      lowerCAmelCase				:			int    			=      0
      for b in range(2**8				):
          if b not in bs:
              bs.append(_UpperCAmelCase				)
              cs.append(2**8 + n				)
              n += 1
      lowerCAmelCase				:			Union[str, Any]    			=      [chr(_UpperCAmelCase				) for n in cs]
      return dict(zip(_UpperCAmelCase,      _UpperCAmelCase				)				)
  def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase				)					-> int:
  
  
  
      '''simple docstring'''
  
  
  
  
  
  
      lowerCAmelCase				:			Dict    			=      set()
      lowerCAmelCase				:			int    			=      word[0]
      for char in word[1:]:
          pairs.add((prev_char, char)				)
          lowerCAmelCase				:			Dict    			=      char
      return pairs
  
  
  
  
  
  
  class    __A				(							lowerCamelCase__ ):
      lowerCAmelCase_							:		Dict						=							VOCAB_FILES_NAMES
      lowerCAmelCase_							:		Optional[Any]						=							PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase_							:		str						=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase_							:		Optional[int]						=							["input_ids", "attention_mask"]
  
  
  
  
  
  
      def __init__(	self			:    str    ,				UpperCAmelCase_			:    Union[str, Any]    ,				UpperCAmelCase_			:    Union[str, Any]    ,				UpperCAmelCase_			:    Any="replace"    ,				UpperCAmelCase_			:    Tuple="<s>"    ,				UpperCAmelCase_			:    List[Any]="</s>"    ,				UpperCAmelCase_			:    Any="</s>"    ,				UpperCAmelCase_			:    Union[str, Any]="<s>"    ,				UpperCAmelCase_			:    Tuple="<unk>"    ,				UpperCAmelCase_			:    str="<pad>"    ,				UpperCAmelCase_			:    List[str]="<mask>"    ,				UpperCAmelCase_			:    Union[str, Any]=False    ,				**UpperCAmelCase_			:    str    ,				)     ->   int:
          lowerCAmelCase				:			int    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else bos_token
          lowerCAmelCase				:			str    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else eos_token
          lowerCAmelCase				:			str    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else sep_token
          lowerCAmelCase				:			List[Any]    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else cls_token
          lowerCAmelCase				:			Optional[int]    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else unk_token
          lowerCAmelCase				:			Optional[int]    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else pad_token
  
          # Mask token behave like a normal word, i.e. include the space before it
          lowerCAmelCase				:			List[Any]    			=      AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    ) else mask_token
  
          super().__init__(
              errors=SCREAMING_SNAKE_CASE_    ,				bos_token=SCREAMING_SNAKE_CASE_    ,				eos_token=SCREAMING_SNAKE_CASE_    ,				unk_token=SCREAMING_SNAKE_CASE_    ,				sep_token=SCREAMING_SNAKE_CASE_    ,				cls_token=SCREAMING_SNAKE_CASE_    ,				pad_token=SCREAMING_SNAKE_CASE_    ,				mask_token=SCREAMING_SNAKE_CASE_    ,				add_prefix_space=SCREAMING_SNAKE_CASE_    ,				**SCREAMING_SNAKE_CASE_    ,				)
  
          with open(SCREAMING_SNAKE_CASE_    ,				encoding='utf-8'    ) as vocab_handle:
              lowerCAmelCase				:			int    			=      json.load(SCREAMING_SNAKE_CASE_    )
          lowerCAmelCase				:			Optional[Any]    			=      {v: k for k, v in self.encoder.items()}
          lowerCAmelCase				:			Any    			=      errors  # how to handle errors in decoding
          lowerCAmelCase				:			Union[str, Any]    			=      bytes_to_unicode()
          lowerCAmelCase				:			Any    			=      {v: k for k, v in self.byte_encoder.items()}
          with open(SCREAMING_SNAKE_CASE_    ,				encoding='utf-8'    ) as merges_handle:
              lowerCAmelCase				:			Dict    			=      merges_handle.read().split('\n'    )[1:-1]
          lowerCAmelCase				:			Optional[int]    			=      [tuple(merge.split()    ) for merge in bpe_merges]
          lowerCAmelCase				:			Optional[int]    			=      dict(zip(SCREAMING_SNAKE_CASE_    ,				range(len(SCREAMING_SNAKE_CASE_    )    )    )    )
          lowerCAmelCase				:			Tuple    			=      {}
          lowerCAmelCase				:			Optional[int]    			=      add_prefix_space
  
          # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
          lowerCAmelCase				:			Dict    			=      re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'    )
  
  
  
  
  
  
      @property
      def 	lowercase__ (	self			:    Optional[Any]    )     ->   Optional[Any]:
          return len(self.encoder    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    str    )     ->   str:
          return dict(self.encoder    ,				**self.added_tokens_encoder    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    List[Any]    ,				UpperCAmelCase_			:    Dict    )     ->   Any:
          if token in self.cache:
              return self.cache[token]
          lowerCAmelCase				:			List[str]    			=      tuple(SCREAMING_SNAKE_CASE_    )
          lowerCAmelCase				:			Union[str, Any]    			=      get_pairs(SCREAMING_SNAKE_CASE_    )
  
          if not pairs:
              return token
  
          while True:
              lowerCAmelCase				:			List[str]    			=      min(SCREAMING_SNAKE_CASE_    ,				key=lambda UpperCAmelCase_    : self.bpe_ranks.get(SCREAMING_SNAKE_CASE_    ,				float('inf'    )    )    )
              if bigram not in self.bpe_ranks:
                  break
              lowerCAmelCase			,  lowerCAmelCase				:			Optional[int]    			=      bigram
              lowerCAmelCase				:			str    			=      []
              lowerCAmelCase				:			Dict    			=      0
              while i < len(SCREAMING_SNAKE_CASE_    ):
                  try:
                      lowerCAmelCase				:			Optional[Any]    			=      word.index(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_    )
                  except ValueError:
                      new_word.extend(word[i:]    )
                      break
                  else:
                      new_word.extend(word[i:j]    )
                      lowerCAmelCase				:			int    			=      j
  
                  if word[i] == first and i < len(SCREAMING_SNAKE_CASE_    ) - 1 and word[i + 1] == second:
                      new_word.append(first + second    )
                      i += 2
                  else:
                      new_word.append(word[i]    )
                      i += 1
              lowerCAmelCase				:			List[str]    			=      tuple(SCREAMING_SNAKE_CASE_    )
              lowerCAmelCase				:			Dict    			=      new_word
              if len(SCREAMING_SNAKE_CASE_    ) == 1:
                  break
              else:
                  lowerCAmelCase				:			List[str]    			=      get_pairs(SCREAMING_SNAKE_CASE_    )
          lowerCAmelCase				:			List[str]    			=      ' '.join(SCREAMING_SNAKE_CASE_    )
          lowerCAmelCase				:			Optional[Any]    			=      word
          return word
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Optional[int]    ,				UpperCAmelCase_			:    Union[str, Any]    )     ->   Dict:
          lowerCAmelCase				:			List[Any]    			=      []
          for token in re.findall(self.pat    ,				SCREAMING_SNAKE_CASE_    ):
              lowerCAmelCase				:			Optional[Any]    			=      ''.join(
                  self.byte_encoder[b] for b in token.encode('utf-8'    )    )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
              bpe_tokens.extend(bpe_token for bpe_token in self.bpe(SCREAMING_SNAKE_CASE_    ).split(' '    )    )
          return bpe_tokens
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Optional[int]    ,				UpperCAmelCase_			:    Dict    )     ->   Optional[Any]:
          return self.encoder.get(SCREAMING_SNAKE_CASE_    ,				self.encoder.get(self.unk_token    )    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    str    ,				UpperCAmelCase_			:    str    )     ->   int:
          return self.decoder.get(SCREAMING_SNAKE_CASE_    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    List[Any]    ,				UpperCAmelCase_			:    Optional[int]    )     ->   Tuple:
          lowerCAmelCase				:			Any    			=      ''.join(SCREAMING_SNAKE_CASE_    )
          lowerCAmelCase				:			Tuple    			=      bytearray([self.byte_decoder[c] for c in text]    ).decode('utf-8'    ,				errors=self.errors    )
          return text
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Union[str, Any]    ,				UpperCAmelCase_			:    str    ,				UpperCAmelCase_			:    Optional[str] = None    )     ->   Union[str, Any]:
          if not os.path.isdir(SCREAMING_SNAKE_CASE_    ):
              logger.error(f"Vocabulary path ({save_directory}) should be a directory"    )
              return
          lowerCAmelCase				:			List[Any]    			=      os.path.join(
              SCREAMING_SNAKE_CASE_    ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
          lowerCAmelCase				:			Optional[Any]    			=      os.path.join(
              SCREAMING_SNAKE_CASE_    ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']    )
  
          with open(SCREAMING_SNAKE_CASE_    ,				'w'    ,				encoding='utf-8'    ) as f:
              f.write(json.dumps(self.encoder    ,				indent=2    ,				sort_keys=SCREAMING_SNAKE_CASE_    ,				ensure_ascii=SCREAMING_SNAKE_CASE_    ) + '\n'    )
  
          lowerCAmelCase				:			Optional[Any]    			=      0
          with open(SCREAMING_SNAKE_CASE_    ,				'w'    ,				encoding='utf-8'    ) as writer:
              writer.write('#version: 0.2\n'    )
              for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,				key=lambda UpperCAmelCase_    : kv[1]    ):
                  if index != token_index:
                      logger.warning(
                          f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                          ' Please check that the tokenizer is not corrupted!'    )
                      lowerCAmelCase				:			Optional[int]    			=      token_index
                  writer.write(' '.join(SCREAMING_SNAKE_CASE_    ) + '\n'    )
                  index += 1
  
          return vocab_file, merge_file
  
  
  
  
  
  
      def 	lowercase__ (	self			:    List[str]    ,				UpperCAmelCase_			:    List[int]    ,				UpperCAmelCase_			:    Optional[List[int]] = None    )     ->   Any:
          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          lowerCAmelCase				:			List[Any]    			=      [self.cls_token_id]
          lowerCAmelCase				:			Tuple    			=      [self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Optional[Any]    ,				UpperCAmelCase_			:    List[int]    ,				UpperCAmelCase_			:    Optional[List[int]] = None    ,				UpperCAmelCase_			:    bool = False    )     ->   List[Any]:
          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=SCREAMING_SNAKE_CASE_    ,				token_ids_a=SCREAMING_SNAKE_CASE_    ,				already_has_special_tokens=SCREAMING_SNAKE_CASE_    )
  
          if token_ids_a is None:
              return [1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1]
          return [1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1]
  
  
  
  
  
  
      def 	lowercase__ (	self			:    str    ,				UpperCAmelCase_			:    List[int]    ,				UpperCAmelCase_			:    Optional[List[int]] = None    )     ->   Any:
          lowerCAmelCase				:			Tuple    			=      [self.sep_token_id]
          lowerCAmelCase				:			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			:    Tuple    ,				UpperCAmelCase_			:    str    ,				UpperCAmelCase_			:    Any=False    ,				**UpperCAmelCase_			:    List[Any]    )     ->   Optional[int]:
          lowerCAmelCase				:			List[Any]    			=      kwargs.pop('add_prefix_space'    ,				self.add_prefix_space    )
          if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE_    ) > 0 and not text[0].isspace()):
              lowerCAmelCase				:			List[str]    			=      ' ' + text
          return (text, kwargs)
  
  
  
  
  
  
style_context: 
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available
  
  
  __A   :     Dict      =			{}
  
  try:
   if not is_sentencepiece_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   __A   :     List[Any]      =			['''BarthezTokenizer''']
  
  try:
   if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   __A   :     List[str]      =			['''BarthezTokenizerFast''']
  
  
  if TYPE_CHECKING:
   try:
    if not is_sentencepiece_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .tokenization_barthez import BarthezTokenizer
  
   try:
    if not is_tokenizers_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .tokenization_barthez_fast import BarthezTokenizerFast
  
  else:
   import sys
  
   __A   :     Tuple      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  