code: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  import json
  import os
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils import PreTrainedTokenizer
  from ...utils import logging
  
  
  UpperCAmelCase			:			Any	  = logging.get_logger(__name__)
  
  UpperCAmelCase			:			Optional[int]	  = {
      """vocab_file""": """vocab.json""",
      """merges_file""": """merges.txt""",
  }
  
  UpperCAmelCase			:			Optional[int]	  = {
      """vocab_file""": {
          """microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json""",
      },
      """merges_file""": {"""microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"""},
  }
  
  UpperCAmelCase			:			Tuple	  = {
      """microsoft/biogpt""": 1024,
  }
  def   _A (	SCREAMING_SNAKE_CASE  :     Dict		):
  
  
  
  
  
    """simple docstring"""
  
  
  
    a__			:      str            =set()
    a__			:      str            =word[0]
    for char in word[1:]:
      pairs.add((prev_char, char)		)
      a__			:      Optional[Any]            =char
    return pairs
  
  
  
  
  
  
  
  class        __lowerCAmelCase (					__lowerCamelCase):
        _lowercase       :      List[Any]        =    VOCAB_FILES_NAMES
        _lowercase       :      List[Any]        =    PRETRAINED_VOCAB_FILES_MAP
        _lowercase       :      int        =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
        _lowercase       :      str        =    ["""input_ids""", """attention_mask"""]
  
  
  
  
  
  
  
        def __init__(					self	,   lowerCAmelCase__	,   lowerCAmelCase__	,   lowerCAmelCase__="<unk>"	,   lowerCAmelCase__="<s>"	,   lowerCAmelCase__="</s>"	,   lowerCAmelCase__="</s>"	,   lowerCAmelCase__="<pad>"	,   **lowerCAmelCase__	,   )     ->		Optional[int]:
  
  
  
          '''simple docstring'''
  
  
  
  
          super().__init__(
              bos_token=_lowerCAmelCase	,   eos_token=_lowerCAmelCase	,   sep_token=_lowerCAmelCase	,   unk_token=_lowerCAmelCase	,   pad_token=_lowerCAmelCase	,   **_lowerCAmelCase	,   )
  
          try:
            import sacremoses
          except ImportError:
            raise ImportError(
                "You need to install sacremoses to use BioGptTokenizer. "
                "See https://pypi.org/project/sacremoses/ for installation."							)
  
          a__			:      str            ="""en"""
          a__			:      str            =sacremoses
          # cache of sm.MosesTokenizer instance
          a__			:      List[str]            ={}
          a__			:      Optional[Any]            ={}
          with open(_lowerCAmelCase	,   encoding="utf-8"							) as vocab_handle:
            a__			:      List[Any]            =json.load(_lowerCAmelCase							)
          a__			:      List[Any]            ={v: k for k, v in self.encoder.items()}
          with open(_lowerCAmelCase	,   encoding="utf-8"							) as merges_handle:
            a__			:      Any            =merges_handle.read().split("\n"							)[:-1]
          a__			:      Union[str, Any]            =[tuple(merge.split()[:2]							) for merge in merges]
          a__			:      List[str]            =dict(zip(_lowerCAmelCase	,   range(len(_lowerCAmelCase							)							)							)							)
          a__			:      Any            ={}
  
  
  
  
  
  
  
        @property
        def      _lowercase						(					self							)     ->		Any:
  
  
  
          '''simple docstring'''
  
  
  
  
          return len(self.encoder							)
  
  
  
  
  
  
  
        def      _lowercase						(					self							)     ->		Union[str, Any]:
  
  
  
          '''simple docstring'''
  
  
  
  
          return dict(self.encoder	,   **self.added_tokens_encoder							)
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__							)     ->		Any:
  
  
  
          '''simple docstring'''
  
  
  
  
          if lang not in self.cache_moses_tokenizer:
            a__			:      Dict            =self.sm.MosesTokenizer(lang=_lowerCAmelCase							)
            a__			:      Dict            =moses_tokenizer
          return self.cache_moses_tokenizer[lang].tokenize(
              _lowerCAmelCase	,   aggressive_dash_splits=_lowerCAmelCase	,   return_str=_lowerCAmelCase	,   escape=_lowerCAmelCase							)
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__							)     ->		List[Any]:
  
  
  
          '''simple docstring'''
  
  
  
  
          if lang not in self.cache_moses_detokenizer:
            a__			:      Optional[Any]            =self.sm.MosesDetokenizer(lang=_lowerCAmelCase							)
            a__			:      Tuple            =moses_detokenizer
          return self.cache_moses_detokenizer[lang].detokenize(_lowerCAmelCase							)
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__							)     ->		str:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      Tuple            =tuple(token[:-1]							) + (token[-1] + """</w>""",)
          if token in self.cache:
            return self.cache[token]
          a__			:      Union[str, Any]            =get_pairs(_lowerCAmelCase							)
  
          if not pairs:
            return token + "</w>"
  
          while True:
            a__			:      Union[str, Any]            =min(_lowerCAmelCase	,   key=lambda lowerCAmelCase__							: self.bpe_ranks.get(_lowerCAmelCase	,   float("inf"							)							)							)
            if bigram not in self.bpe_ranks:
              break
            a__			:      List[Any]            =bigram
            a__			:      Any            =[]
            a__			:      List[str]            =0
            while i < len(_lowerCAmelCase							):
              try:
                a__			:      List[str]            =word.index(_lowerCAmelCase	,   _lowerCAmelCase							)
              except ValueError:
                new_word.extend(word[i:]							)
                break
              else:
                new_word.extend(word[i:j]							)
                a__			:      Any            =j
  
              if word[i] == first and i < len(_lowerCAmelCase							) - 1 and word[i + 1] == second:
                new_word.append(first + second							)
                i += 2
              else:
                new_word.append(word[i]							)
                i += 1
            a__			:      List[str]            =tuple(_lowerCAmelCase							)
            a__			:      List[Any]            =new_word
            if len(_lowerCAmelCase							) == 1:
              break
            else:
              a__			:      List[Any]            =get_pairs(_lowerCAmelCase							)
          a__			:      Any            =""" """.join(_lowerCAmelCase							)
          if word == "\n  </w>":
            a__			:      Optional[Any]            ="""\n</w>"""
          a__			:      Union[str, Any]            =word
          return word
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__=False							)     ->		List[str]:
  
  
  
          '''simple docstring'''
  
  
  
  
          if bypass_tokenizer:
            a__			:      List[str]            =text.split()
          else:
            a__			:      str            =self.moses_tokenize(_lowerCAmelCase	,   self.lang							)
  
          a__			:      Union[str, Any]            =[]
          for token in text:
            if token:
              split_tokens.extend(list(self.bpe(_lowerCAmelCase							).split(" "							)							)							)
  
          return split_tokens
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__							)     ->		Tuple:
  
  
  
          '''simple docstring'''
  
  
  
  
          return self.encoder.get(_lowerCAmelCase	,   self.encoder.get(self.unk_token							)							)
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__							)     ->		List[str]:
  
  
  
          '''simple docstring'''
  
  
  
  
          return self.decoder.get(_lowerCAmelCase	,   self.unk_token							)
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__							)     ->		int:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      List[str]            =[t.replace(" "	,   ""							).replace("</w>"	,   " "							) for t in tokens]
          a__			:      Any            ="""""".join(_lowerCAmelCase							).split()
          # detokenize
          a__			:      List[str]            =self.moses_detokenize(_lowerCAmelCase	,   self.lang							)
          return text
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None							)     ->		Dict:
  
  
  
          '''simple docstring'''
  
  
  
  
          if token_ids_a is None:
            return [self.sep_token_id] + token_ids_a
          a__			:      Union[str, Any]            =[self.sep_token_id]
          return sep + token_ids_a + sep + token_ids_a
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None	,   lowerCAmelCase__ = False							)     ->		Optional[int]:
  
  
  
          '''simple docstring'''
  
  
  
  
          if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=_lowerCAmelCase	,   token_ids_a=_lowerCAmelCase	,   already_has_special_tokens=_lowerCAmelCase							)
          # no bos used in fairseq
          if token_ids_a is not None:
            return [1] + ([0] * len(_lowerCAmelCase							)) + [1] + ([0] * len(_lowerCAmelCase							))
          return [1] + ([0] * len(_lowerCAmelCase							))
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None							)     ->		Any:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      Optional[int]            =[self.sep_token_id]
  
          # no bos used in fairseq
          if token_ids_a is None:
            return len(token_ids_a + sep							) * [0]
          return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None							)     ->		Tuple:
  
  
  
          '''simple docstring'''
  
  
  
  
          if not os.path.isdir(_lowerCAmelCase							):
            logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
            return
          a__			:      Tuple            =os.path.join(
              _lowerCAmelCase	,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]							)
          a__			:      List[str]            =os.path.join(
              _lowerCAmelCase	,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]							)
  
          with open(_lowerCAmelCase	,   "w"	,   encoding="utf-8"							) as f:
            f.write(json.dumps(self.encoder	,   indent=2	,   sort_keys=_lowerCAmelCase	,   ensure_ascii=_lowerCAmelCase							) + "\n"							)
  
          a__			:      Dict            =0
          with open(_lowerCAmelCase	,   "w"	,   encoding="utf-8"							) as writer:
            for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,   key=lambda lowerCAmelCase__							: 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__			:      Dict            =token_index
              writer.write(" ".join(_lowerCAmelCase							) + "\n"							)
              index += 1
  
          return vocab_file, merge_file
  
  
  
  
  
  
  
        def __getstate__(					self							)     ->		List[Any]:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      List[Any]            =self.__dict__.copy()
          a__			:      Dict            =None
          return state
  
  
  
  
  
  
  
        def __setstate__(					self	,   lowerCAmelCase__							)     ->		Dict:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      Optional[Any]            =d
  
          try:
            import sacremoses
          except ImportError:
            raise ImportError(
                "You need to install sacremoses to use XLMTokenizer. "
                "See https://pypi.org/project/sacremoses/ for installation."							)
  
          a__			:      Tuple            =sacremoses
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  def   _A (	SCREAMING_SNAKE_CASE  :     int		):
  
  
  
  
  
    """simple docstring"""
  
  
  
    if not isinstance(SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE		) or number < 0:
      raise ValueError("Input must be a non-negative integer"		)
  
    a__			:      List[str]            =number & ~(number - 1)
    a__			:      Optional[int]            =0
    while intermediate:
      intermediate >>= 1
      index += 1
    return index - 1
  
  
  if __name__ == "__main__":
       import doctest
  
       doctest.testmod(verbose=True)
  
  
  
  
  
  
  