code: 
  '''simple docstring'''
  import os
  from shutil import copyfile
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import is_sentencepiece_available, logging
  
  
  if is_sentencepiece_available():
  						from .tokenization_xglm import XGLMTokenizer
  else:
  						lowercase__						=			None
  
  
  lowercase__						=			logging.get_logger(__name__)
  
  lowercase__						=			{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}
  
  lowercase__						=			{
      "vocab_file": {
          "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model",
      },
      "tokenizer_file": {
          "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json",
      },
  }
  
  lowercase__						=			{
      "facebook/xglm-564M": 2_0_4_8,
  }
  
  
  
  
  
  
  class   snake_case__					(			__SCREAMING_SNAKE_CASE				):
  
  
  
  
  
  
  
  		"""simple docstring"""
  
  		lowerCamelCase           =	VOCAB_FILES_NAMES
  		lowerCamelCase           =	PRETRAINED_VOCAB_FILES_MAP
  		lowerCamelCase           =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		lowerCamelCase           =	["""input_ids""", """attention_mask"""]
  		lowerCamelCase           =	XGLMTokenizer
  
  
  
  		def __init__(			self							: str     ,  UpperCamelCase__							: Optional[Any]=None     ,  UpperCamelCase__							: Dict=None     ,  UpperCamelCase__							: Optional[int]="<s>"     ,  UpperCamelCase__							: Tuple="</s>"     ,  UpperCamelCase__							: List[Any]="</s>"     ,  UpperCamelCase__							: List[str]="<s>"     ,  UpperCamelCase__							: Tuple="<unk>"     ,  UpperCamelCase__							: Tuple="<pad>"     ,  **UpperCamelCase__							: Union[str, Any]     ,  )	-> Dict:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					List[str]     =	7
  				snake_case     :					List[str]     =	[f'<madeupword{i}>' for i in range(self.num_madeup_words			)]
  
  				snake_case     :					Union[str, Any]     =	kwargs.get('''additional_special_tokens'''     ,  []			)
  				kwargs["additional_special_tokens"] += [
  				    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
  				]
  
  				super().__init__(
  				    UpperCamelCase__     ,  tokenizer_file=UpperCamelCase__     ,  bos_token=UpperCamelCase__     ,  eos_token=UpperCamelCase__     ,  sep_token=UpperCamelCase__     ,  cls_token=UpperCamelCase__     ,  unk_token=UpperCamelCase__     ,  pad_token=UpperCamelCase__     ,  **UpperCamelCase__     ,  )
  
  				snake_case     :					str     =	vocab_file
  				snake_case     :					List[str]     =	False if not self.vocab_file else True
  
  
  
  		def 			lowerCAmelCase							(			self							: Union[str, Any]     ,  UpperCamelCase__							: List[int]     ,  UpperCamelCase__							: Optional[List[int]] = None			)	-> List[int]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				if token_ids_a is None:
  						return [self.sep_token_id] + token_ids_a
  				snake_case     :					Union[str, Any]     =	[self.sep_token_id]
  				return sep + token_ids_a + sep + sep + token_ids_a
  
  
  
  		def 			lowerCAmelCase							(			self							: str     ,  UpperCamelCase__							: List[int]     ,  UpperCamelCase__							: Optional[List[int]] = None			)	-> List[int]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					List[Any]     =	[self.sep_token_id]
  
  				if token_ids_a is None:
  						return len(sep + token_ids_a			) * [0]
  				return len(sep + token_ids_a + sep + sep + token_ids_a			) * [0]
  
  
  
  		def 			lowerCAmelCase							(			self							: Dict     ,  UpperCamelCase__							: str     ,  UpperCamelCase__							: Optional[str] = None			)	-> Tuple[str]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				if not self.can_save_slow_tokenizer:
  						raise ValueError(
  						    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
  						    '''tokenizer.'''			)
  
  				if not os.path.isdir(UpperCamelCase__			):
  						logger.error(f'Vocabulary path ({save_directory}) should be a directory.'			)
  						return
  				snake_case     :					Any     =	os.path.join(
  				    UpperCamelCase__     ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)
  
  				if os.path.abspath(self.vocab_file			) != os.path.abspath(UpperCamelCase__			):
  						copyfile(self.vocab_file     ,  UpperCamelCase__			)
  
  				return (out_vocab_file,)
  
  
  
style_context: 
  '''simple docstring'''
  import itertools
  from pathlib import Path
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	[tuple(SCREAMING_SNAKE_CASE__ ) for login in logins]
  
  		snake_case     :					Dict     =	{char for login in split_logins for char in login}
  
  		for permutation in itertools.permutations(SCREAMING_SNAKE_CASE__ ):
  				snake_case     :					Optional[int]     =	True
  				for login in logins:
  						if not (
  						    permutation.index(login[0] )
  						    < permutation.index(login[1] )
  						    < permutation.index(login[2] )
  						):
  								snake_case     :					int     =	False
  								break
  
  				if satisfied:
  						return int(''''''.join(SCREAMING_SNAKE_CASE__ ) )
  
  		raise Exception('''Unable to find the secret passcode''' )
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ = "keylog.txt" )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	Path(SCREAMING_SNAKE_CASE__ ).parent.joinpath(SCREAMING_SNAKE_CASE__ ).read_text().splitlines()
  
  		return find_secret_passcode(SCREAMING_SNAKE_CASE__ )
  
  
  if __name__ == "__main__":
  						print(f"{solution() = }")
  
  
  