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__    ,							lowercase__   ):
  					"""simple docstring"""
  					A    =      1
  					while b > 0:
  										if b & 1:
  															res *= a
  
  										a *= a
  										b >>= 1
  
  					return res
  def      __SCREAMING_SNAKE_CASE		(		lowercase__    ,							lowercase__    ,							lowercase__   ):
  					"""simple docstring"""
  					A    =      1
  					while b > 0:
  										if b & 1:
  															A    =      ((res % c) * (a % c)) % c
  
  										a *= a
  										b >>= 1
  
  					return res
  
  
  
  
  
  