code: 
  
  
  '''simple docstring'''
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowerCAmelCase   :Optional[int]								=    logging.get_logger(__name__)
  
  lowerCAmelCase   :List[str]								=    {
      '''google/pegasus-x-base''': '''https://huggingface.co/google/pegasus-x-base/resolve/main/config.json''',
      '''google/pegasus-x-large''': '''https://huggingface.co/google/pegasus-x-large/resolve/main/config.json''',
      # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
  }
  class _lowerCamelCase (		lowercase__							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		A_			:    Union[str, Any]   					=       """pegasus_x"""
  		A_			:    str   					=       ["""past_key_values"""]
  		A_			:    List[Any]   					=       {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}
  
  
  
  
  
  
  
  		def __init__(      self	:		Tuple						,  _A	:		Optional[int]=96103						,  _A	:		Any=16384						,  _A	:		List[str]=16						,  _A	:		Tuple=4096						,  _A	:		Optional[Any]=16						,  _A	:		int=16						,  _A	:		List[str]=4096						,  _A	:		List[str]=16						,  _A	:		List[str]=0.0						,  _A	:		Optional[Any]=0.0						,  _A	:		Union[str, Any]=True						,  _A	:		Optional[Any]=True						,  _A	:		Optional[Any]="gelu"						,  _A	:		Tuple=1024						,  _A	:		List[str]=0.1						,  _A	:		List[str]=0.0						,  _A	:		List[str]=0.0						,  _A	:		Dict=0.02						,  _A	:		str=0						,  _A	:		Union[str, Any]=True						,  _A	:		Optional[int]=0						,  _A	:		Tuple=1						,  _A	:		List[str]=1						,  _A	:		Dict=32						,  _A	:		Optional[Any]=512						,  _A	:		Any=True						,  **_A	:		Optional[Any]						,  )						->				Any:
  			__magic_name__ :					Optional[Any]  			=  vocab_size
  			__magic_name__ :					List[Any]  			=  max_position_embeddings
  			__magic_name__ :					List[Any]  			=  d_model
  			__magic_name__ :					Any  			=  encoder_ffn_dim
  			__magic_name__ :					int  			=  encoder_layers
  			__magic_name__ :					Optional[int]  			=  encoder_attention_heads
  			__magic_name__ :					Dict  			=  decoder_ffn_dim
  			__magic_name__ :					Any  			=  decoder_layers
  			__magic_name__ :					str  			=  decoder_attention_heads
  			__magic_name__ :					Optional[int]  			=  dropout
  			__magic_name__ :					Optional[Any]  			=  attention_dropout
  			__magic_name__ :					int  			=  activation_dropout
  			__magic_name__ :					Optional[int]  			=  activation_function
  			__magic_name__ :					Optional[Any]  			=  init_std
  			__magic_name__ :					List[Any]  			=  encoder_layerdrop
  			__magic_name__ :					Any  			=  decoder_layerdrop
  			__magic_name__ :					Any  			=  use_cache
  			__magic_name__ :					Dict  			=  encoder_layers
  			__magic_name__ :					Optional[int]  			=  scale_embedding  # scale factor will be sqrt(d_model) if True
  
  			__magic_name__ :					Any  			=  num_global_tokens
  			__magic_name__ :					str  			=  block_size
  			__magic_name__ :					List[Any]  			=  stagger_local_blocks
  
  			super().__init__(
  			    pad_token_id=_A						,  eos_token_id=_A						,  is_encoder_decoder=_A						,  decoder_start_token_id=_A						,  forced_eos_token_id=_A						,  **_A						,  )
  
  
  
  
  
  
  
  		@property
  		def      __lowerCAmelCase	(      self	:		Any    )						->				int:
  			return self.encoder_attention_heads
  
  
  
  
  
  
  
  		@property
  		def      __lowerCAmelCase	(      self	:		Dict    )						->				int:
  			return self.d_model
style_context: 
  
  
  '''simple docstring'''
  
  import itertools
  from pathlib import Path
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			list[str]	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					str  			=  [tuple(lowerCAmelCase	) for login in logins]
  
  	__magic_name__ :					int  			=  {char for login in split_logins for char in login}
  
  	for permutation in itertools.permutations(lowerCAmelCase	):
  		__magic_name__ :					List[Any]  			=  True
  		for login in logins:
  			if not (
  			    permutation.index(login[0]	)
  			    < permutation.index(login[1]	)
  			    < permutation.index(login[2]	)
  			):
  				__magic_name__ :					Tuple  			=  False
  				break
  
  		if satisfied:
  			return int(''.join(lowerCAmelCase	)	)
  
  	raise Exception('Unable to find the secret passcode'	)
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			str = "keylog.txt"	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					List[Any]  			=  Path(lowerCAmelCase	).parent.joinpath(lowerCAmelCase	).read_text().splitlines()
  
  	return find_secret_passcode(lowerCAmelCase	)
  
  
  if __name__ == "__main__":
  							print(F'{solution() = }')