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
  
  
  lowerCamelCase     =      logging.get_logger(__name__)
  
  lowerCamelCase     =      {
      '''vocab_file''': '''vocab.json''',
      '''merges_file''': '''merges.txt''',
  }
  
  lowerCamelCase     =      {
      '''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'''
          ),
      },
  }
  
  lowerCamelCase     =      {
      '''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     UpperCAmelCase__       (    ):
  
  
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
  
    a__						=(
        list(range(ord('''!'''							)			,   ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)			,   ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)			,   ord('''ÿ'''							) + 1							)							)
    )
    a__						=bs[:]
    a__						=0
    for b in range(2**8							):
      if b not in bs:
        bs.append(_A							)
        cs.append(2**8 + n							)
        n += 1
    a__						=[chr(_A							) for n in cs]
    return dict(zip(_A			,   _A							)							)
  
  
  
  
  def     UpperCAmelCase__       (    _A   :				str							):
  
  
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
  
    a__						=set()
    a__						=word[0]
    for char in word[1:]:
      pairs.add((prev_char, char)							)
      a__						=char
    return pairs
  
  
  
  
  
  
  
  class 		__magic_name__    (							lowerCamelCase__							):
  
     '''simple docstring'''
  
  
  
  
     lowerCamelCase__				:			List[Any]												=     VOCAB_FILES_NAMES
     lowerCamelCase__				:			List[Any]												=     PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase__				:			Tuple												=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase__				:			Any												=     ['input_ids', 'attention_mask']
  
  
  
     def __init__(       self,					lowercase_,					lowercase_,					lowercase_="replace",					lowercase_="<s>",					lowercase_="</s>",					lowercase_="</s>",					lowercase_="<s>",					lowercase_="<unk>",					lowercase_="<pad>",					lowercase_="<mask>",					lowercase_=False,					**lowercase_,					)							->					Optional[Any]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       a__						=AddedToken(lowercase_,					lstrip=lowercase_,					rstrip=lowercase_ ) if isinstance(lowercase_,					lowercase_ ) else bos_token
       a__						=AddedToken(lowercase_,					lstrip=lowercase_,					rstrip=lowercase_ ) if isinstance(lowercase_,					lowercase_ ) else eos_token
       a__						=AddedToken(lowercase_,					lstrip=lowercase_,					rstrip=lowercase_ ) if isinstance(lowercase_,					lowercase_ ) else sep_token
       a__						=AddedToken(lowercase_,					lstrip=lowercase_,					rstrip=lowercase_ ) if isinstance(lowercase_,					lowercase_ ) else cls_token
       a__						=AddedToken(lowercase_,					lstrip=lowercase_,					rstrip=lowercase_ ) if isinstance(lowercase_,					lowercase_ ) else unk_token
       a__						=AddedToken(lowercase_,					lstrip=lowercase_,					rstrip=lowercase_ ) if isinstance(lowercase_,					lowercase_ ) else pad_token
  
       # Mask token behave like a normal word, i.e. include the space before it
       a__						=AddedToken(lowercase_,					lstrip=lowercase_,					rstrip=lowercase_ ) if isinstance(lowercase_,					lowercase_ ) else mask_token
  
       super().__init__(
           errors=lowercase_,					bos_token=lowercase_,					eos_token=lowercase_,					unk_token=lowercase_,					sep_token=lowercase_,					cls_token=lowercase_,					pad_token=lowercase_,					mask_token=lowercase_,					add_prefix_space=lowercase_,					**lowercase_,					)
  
       with open(lowercase_,					encoding='''utf-8''' ) as vocab_handle:
         a__						=json.load(lowercase_ )
       a__						={v: k for k, v in self.encoder.items()}
       a__						=errors  # how to handle errors in decoding
       a__						=bytes_to_unicode()
       a__						={v: k for k, v in self.byte_encoder.items()}
       with open(lowercase_,					encoding='''utf-8''' ) as merges_handle:
         a__						=merges_handle.read().split('''\n''' )[1:-1]
       a__						=[tuple(merge.split() ) for merge in bpe_merges]
       a__						=dict(zip(lowercase_,					range(len(lowercase_ ) ) ) )
       a__						={}
       a__						=add_prefix_space
  
       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       a__						=re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+''' )
  
  
  
     @property
     def 				_UpperCAmelCase				(       self )							->					Optional[int]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       return len(self.encoder )
  
  
  
     def 				_UpperCAmelCase				(       self )							->					Tuple:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       return dict(self.encoder,					**self.added_tokens_encoder )
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_ )							->					Union[str, Any]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       if token in self.cache:
         return self.cache[token]
       a__						=tuple(lowercase_ )
       a__						=get_pairs(lowercase_ )
  
       if not pairs:
         return token
  
       while True:
         a__						=min(lowercase_,					key=lambda lowercase_ : self.bpe_ranks.get(lowercase_,					float('''inf''' ) ) )
         if bigram not in self.bpe_ranks:
           break
         a__,   a__						=bigram
         a__						=[]
         a__						=0
         while i < len(lowercase_ ):
           try:
             a__						=word.index(lowercase_,					lowercase_ )
           except ValueError:
             new_word.extend(word[i:] )
             break
           else:
             new_word.extend(word[i:j] )
             a__						=j
  
           if word[i] == first and i < len(lowercase_ ) - 1 and word[i + 1] == second:
             new_word.append(first + second )
             i += 2
           else:
             new_word.append(word[i] )
             i += 1
         a__						=tuple(lowercase_ )
         a__						=new_word
         if len(lowercase_ ) == 1:
           break
         else:
           a__						=get_pairs(lowercase_ )
       a__						=''' '''.join(lowercase_ )
       a__						=word
       return word
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_ )							->					Union[str, Any]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       a__						=[]
       for token in re.findall(self.pat,					lowercase_ ):
         a__						=''''''.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(lowercase_ ).split(''' ''' ) )
       return bpe_tokens
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_ )							->					Optional[Any]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       return self.encoder.get(lowercase_,					self.encoder.get(self.unk_token ) )
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_ )							->					Optional[int]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       return self.decoder.get(lowercase_ )
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_ )							->					Union[str, Any]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       a__						=''''''.join(lowercase_ )
       a__						=bytearray([self.byte_decoder[c] for c in text] ).decode('''utf-8''',					errors=self.errors )
       return text
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_,					lowercase_ = None )							->					Tuple[str]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       if not os.path.isdir(lowercase_ ):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory""" )
         return
       a__						=os.path.join(
           lowercase_,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
       a__						=os.path.join(
           lowercase_,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''] )
  
       with open(lowercase_,					'''w''',					encoding='''utf-8''' ) as f:
         f.write(json.dumps(self.encoder,					indent=2,					sort_keys=lowercase_,					ensure_ascii=lowercase_ ) + '''\n''' )
  
       a__						=0
       with open(lowercase_,					'''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 lowercase_ : 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!''' )
             a__						=token_index
           writer.write(''' '''.join(lowercase_ ) + '''\n''' )
           index += 1
  
       return vocab_file, merge_file
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_,					lowercase_ = None )							->					List[int]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       a__						=[self.cls_token_id]
       a__						=[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_,					lowercase_ = None,					lowercase_ = False )							->					List[int]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=lowercase_,					token_ids_a=lowercase_,					already_has_special_tokens=lowercase_ )
  
       if token_ids_a is None:
         return [1] + ([0] * len(lowercase_ )) + [1]
       return [1] + ([0] * len(lowercase_ )) + [1, 1] + ([0] * len(lowercase_ )) + [1]
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_,					lowercase_ = None )							->					List[int]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       a__						=[self.sep_token_id]
       a__						=[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 				_UpperCAmelCase				(       self,					lowercase_,					lowercase_=False,					**lowercase_ )							->					List[str]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       a__						=kwargs.pop('''add_prefix_space''',					self.add_prefix_space )
       if (is_split_into_words or add_prefix_space) and (len(lowercase_ ) > 0 and not text[0].isspace()):
         a__						=''' ''' + text
       return (text, kwargs)
  
style_context: 
  
  import heapq
  
  
  
  
  def     UpperCAmelCase__       (    _A   :				Optional[Any]			,   _A   :				str			,   _A   :				Optional[Any]							):
  
  
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
  
    a__						=[(0, start)]  # cost from start node,end node
    a__						=set()
    while heap:
      ((a__),   (a__))						=heapq.heappop(_A							)
      if u in visited:
        continue
      visited.add(_A							)
      if u == end:
        return cost
      for v, c in graph[u]:
        if v in visited:
          continue
        a__						=cost + c
        heapq.heappush(_A			,   (next_item, v)							)
    return -1
  
  
  lowerCamelCase     =      {
      '''A''': [['''B''', 2], ['''C''', 5]],
      '''B''': [['''A''', 2], ['''D''', 3], ['''E''', 1], ['''F''', 1]],
      '''C''': [['''A''', 5], ['''F''', 3]],
      '''D''': [['''B''', 3]],
      '''E''': [['''B''', 4], ['''F''', 3]],
      '''F''': [['''C''', 3], ['''E''', 3]],
  }
  lowerCamelCase     =      {
      '''B''': [['''C''', 1]],
      '''C''': [['''D''', 1]],
      '''D''': [['''F''', 1]],
      '''E''': [['''B''', 1], ['''F''', 3]],
      '''F''': [],
  }
  lowerCamelCase     =      {
      '''B''': [['''C''', 1]],
      '''C''': [['''D''', 1]],
      '''D''': [['''F''', 1]],
      '''E''': [['''B''', 1], ['''G''', 2]],
      '''F''': [],
      '''G''': [['''F''', 1]],
  }
  
  lowerCamelCase     =      dijkstra(G, '''E''', '''C''')
  print(short_distance)  # E -- 3 --> F -- 3 --> C == 6
  
  lowerCamelCase     =      dijkstra(Ga, '''E''', '''F''')
  print(short_distance)  # E -- 3 --> F == 3
  
  lowerCamelCase     =      dijkstra(Ga, '''E''', '''F''')
  print(short_distance)  # E -- 2 --> G -- 1 --> F == 3
  
  if __name__ == "__main__":
         import doctest
  
         doctest.testmod()
  