code: 
  
  """simple docstring"""
  
  
  
  
  import json
  import os
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils import PreTrainedTokenizer
  from ...utils import logging
  
  
  __A  :					Any												=	logging.get_logger(__name__)
  
  __A  :					Any												=	{
      'vocab_file': 'vocab.json',
      'merges_file': 'merges.txt',
  }
  
  __A  :					Union[str, Any]												=	{
      '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'},
  }
  
  __A  :					Dict												=	{
      'microsoft/biogpt': 10_24,
  }
  def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
  					"""simple docstring"""
  					A    =      set()
  					A    =      word[0]
  					for char in word[1:]:
  										pairs.add((prev_char, char)   )
  										A    =      char
  					return pairs
  
  
  
  
  
  class     __UpperCamelCase				(     _A		):
  		SCREAMING_SNAKE_CASE              =					VOCAB_FILES_NAMES
  		SCREAMING_SNAKE_CASE              =					PRETRAINED_VOCAB_FILES_MAP
  		SCREAMING_SNAKE_CASE              =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		SCREAMING_SNAKE_CASE              =					["input_ids", "attention_mask"]
  
  
  		def __init__(self				:	Tuple  ,  __SCREAMING_SNAKE_CASE				:	List[str]  ,  __SCREAMING_SNAKE_CASE				:	Any  ,  __SCREAMING_SNAKE_CASE				:	Optional[int]="<unk>"  ,  __SCREAMING_SNAKE_CASE				:	str="<s>"  ,  __SCREAMING_SNAKE_CASE				:	Union[str, Any]="</s>"  ,  __SCREAMING_SNAKE_CASE				:	List[Any]="</s>"  ,  __SCREAMING_SNAKE_CASE				:	int="<pad>"  ,  **__SCREAMING_SNAKE_CASE				:	str  ,  ):
  							super().__init__(
  							    bos_token=__SCREAMING_SNAKE_CASE  ,  eos_token=__SCREAMING_SNAKE_CASE  ,  sep_token=__SCREAMING_SNAKE_CASE  ,  unk_token=__SCREAMING_SNAKE_CASE  ,  pad_token=__SCREAMING_SNAKE_CASE  ,  **__SCREAMING_SNAKE_CASE  ,  )
  
  							try:
  												import sacremoses
  							except ImportError:
  												raise ImportError(
  												    "You need to install sacremoses to use BioGptTokenizer. "
  												    "See https://pypi.org/project/sacremoses/ for installation.")
  
  							A    =      "en"
  							A    =      sacremoses
  							# cache of sm.MosesTokenizer instance
  							A    =      {}
  							A    =      {}
  							with open(__SCREAMING_SNAKE_CASE  ,  encoding="utf-8") as vocab_handle:
  												A    =      json.load(__SCREAMING_SNAKE_CASE)
  							A    =      {v: k for k, v in self.encoder.items()}
  							with open(__SCREAMING_SNAKE_CASE  ,  encoding="utf-8") as merges_handle:
  												A    =      merges_handle.read().split("\n")[:-1]
  							A    =      [tuple(merge.split()[:2]) for merge in merges]
  							A    =      dict(zip(__SCREAMING_SNAKE_CASE  ,  range(len(__SCREAMING_SNAKE_CASE))))
  							A    =      {}
  
  
  		@property
  		def       SCREAMING_SNAKE_CASE__     (self				:	Tuple):
  							return len(self.encoder)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Dict):
  							return dict(self.encoder  ,  **self.added_tokens_encoder)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	List[Any]  ,  __SCREAMING_SNAKE_CASE				:	List[str]  ,  __SCREAMING_SNAKE_CASE				:	List[str]):
  							if lang not in self.cache_moses_tokenizer:
  												A    =      self.sm.MosesTokenizer(lang=__SCREAMING_SNAKE_CASE)
  												A    =      moses_tokenizer
  							return self.cache_moses_tokenizer[lang].tokenize(
  							    __SCREAMING_SNAKE_CASE  ,  aggressive_dash_splits=__SCREAMING_SNAKE_CASE  ,  return_str=__SCREAMING_SNAKE_CASE  ,  escape=__SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	List[Any]  ,  __SCREAMING_SNAKE_CASE				:	int  ,  __SCREAMING_SNAKE_CASE				:	List[str]):
  							if lang not in self.cache_moses_detokenizer:
  												A    =      self.sm.MosesDetokenizer(lang=__SCREAMING_SNAKE_CASE)
  												A    =      moses_detokenizer
  							return self.cache_moses_detokenizer[lang].detokenize(__SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Any  ,  __SCREAMING_SNAKE_CASE				:	int):
  							A    =      tuple(token[:-1]) + (token[-1] + "</w>",)
  							if token in self.cache:
  												return self.cache[token]
  							A    =      get_pairs(__SCREAMING_SNAKE_CASE)
  
  							if not pairs:
  												return token + "</w>"
  
  							while True:
  												A    =      min(__SCREAMING_SNAKE_CASE  ,  key=lambda __SCREAMING_SNAKE_CASE: self.bpe_ranks.get(__SCREAMING_SNAKE_CASE  ,  float("inf")))
  												if bigram not in self.bpe_ranks:
  																	break
  												A    ,					A    =      bigram
  												A    =      []
  												A    =      0
  												while i < len(__SCREAMING_SNAKE_CASE):
  																	try:
  																						A    =      word.index(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  																	except ValueError:
  																						new_word.extend(word[i:])
  																						break
  																	else:
  																						new_word.extend(word[i:j])
  																						A    =      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
  												A    =      tuple(__SCREAMING_SNAKE_CASE)
  												A    =      new_word
  												if len(__SCREAMING_SNAKE_CASE) == 1:
  																	break
  												else:
  																	A    =      get_pairs(__SCREAMING_SNAKE_CASE)
  							A    =      " ".join(__SCREAMING_SNAKE_CASE)
  							if word == "\n  </w>":
  												A    =      "\n</w>"
  							A    =      word
  							return word
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	str  ,  __SCREAMING_SNAKE_CASE				:	List[str]  ,  __SCREAMING_SNAKE_CASE				:	Any=False):
  							if bypass_tokenizer:
  												A    =      text.split()
  							else:
  												A    =      self.moses_tokenize(__SCREAMING_SNAKE_CASE  ,  self.lang)
  
  							A    =      []
  							for token in text:
  												if token:
  																	split_tokens.extend(list(self.bpe(__SCREAMING_SNAKE_CASE).split(" ")))
  
  							return split_tokens
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	List[str]  ,  __SCREAMING_SNAKE_CASE				:	Tuple):
  							return self.encoder.get(__SCREAMING_SNAKE_CASE  ,  self.encoder.get(self.unk_token))
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]  ,  __SCREAMING_SNAKE_CASE				:	Dict):
  							return self.decoder.get(__SCREAMING_SNAKE_CASE  ,  self.unk_token)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]  ,  __SCREAMING_SNAKE_CASE				:	int):
  							A    =      [t.replace(" "  ,  "").replace("</w>"  ,  " ") for t in tokens]
  							A    =      "".join(__SCREAMING_SNAKE_CASE).split()
  							# detokenize
  							A    =      self.moses_detokenize(__SCREAMING_SNAKE_CASE  ,  self.lang)
  							return text
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]  ,  __SCREAMING_SNAKE_CASE				:	List[int]  ,  __SCREAMING_SNAKE_CASE				:	Optional[List[int]] = None):
  							if token_ids_a is None:
  												return [self.sep_token_id] + token_ids_a
  							A    =      [self.sep_token_id]
  							return sep + token_ids_a + sep + token_ids_a
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Optional[Any]  ,  __SCREAMING_SNAKE_CASE				:	List[int]  ,  __SCREAMING_SNAKE_CASE				:	Optional[List[int]] = None  ,  __SCREAMING_SNAKE_CASE				:	bool = False):
  							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)
  							# no bos used in fairseq
  							if token_ids_a is not None:
  												return [1] + ([0] * len(__SCREAMING_SNAKE_CASE)) + [1] + ([0] * len(__SCREAMING_SNAKE_CASE))
  							return [1] + ([0] * len(__SCREAMING_SNAKE_CASE))
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Dict  ,  __SCREAMING_SNAKE_CASE				:	List[int]  ,  __SCREAMING_SNAKE_CASE				:	Optional[List[int]] = None):
  							A    =      [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       SCREAMING_SNAKE_CASE__     (self				:	Tuple  ,  __SCREAMING_SNAKE_CASE				:	str  ,  __SCREAMING_SNAKE_CASE				:	Optional[str] = None):
  							if not os.path.isdir(__SCREAMING_SNAKE_CASE):
  												logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
  												return
  							A    =      os.path.join(
  							    __SCREAMING_SNAKE_CASE  ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
  							A    =      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")
  
  							A    =      0
  							with open(__SCREAMING_SNAKE_CASE  ,  "w"  ,  encoding="utf-8") as writer:
  												for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,  key=lambda __SCREAMING_SNAKE_CASE: 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(__SCREAMING_SNAKE_CASE) + "\n")
  																	index += 1
  
  							return vocab_file, merge_file
  
  
  		def __getstate__(self				:	Optional[Any]):
  							A    =      self.__dict__.copy()
  							A    =      None
  							return state
  
  
  		def __setstate__(self				:	str  ,  __SCREAMING_SNAKE_CASE				:	int):
  							A    =      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    =      sacremoses
  
  
  
  
  
  
style_context: 
  
  """simple docstring"""
  
  
  
  
  def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
  					"""simple docstring"""
  					if not isinstance(lowercase__    ,							lowercase__   ):
  										A    =      (
  										    "operation can not be conducted on a object of type "
  										    F"""{type(lowercase__   ).__name__}"""
  										)
  										raise TypeError(lowercase__   )
  					A    =      ""
  					for _ in range(0    ,							32   ):
  										bit_string += str(number % 2   )
  										A    =      number >> 1
  					return bit_string
  def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
  					"""simple docstring"""
  					if number < 0:
  										raise ValueError("the value of input must be positive"   )
  					elif isinstance(lowercase__    ,							lowercase__   ):
  										raise TypeError("Input value must be a 'int' type"   )
  					elif isinstance(lowercase__    ,							lowercase__   ):
  										raise TypeError("'<' not supported between instances of 'str' and 'int'"   )
  					A    =      0
  					# iterator over [1 to 32],since we are dealing with 32 bit integer
  					for _ in range(1    ,							33   ):
  										# left shift the bits by unity
  										A    =      result << 1
  										# get the end bit
  										A    =      number % 2
  										# right shift the bits by unity
  										A    =      number >> 1
  										# add that bit to our ans
  										A    =      result | end_bit
  					return get_reverse_bit_string(lowercase__   )
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  
  
  
  
  