code: 
  
  
  from typing import Callable, Optional, Union
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowerCAmelCase   :int								=    logging.get_logger(__name__)
  
  lowerCAmelCase   :Optional[int]								=    {
      '''microsoft/prophetnet-large-uncased''': (
          '''https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json'''
      ),
  }
  class _lowerCamelCase (		lowercase__							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		A_			:    List[Any]   					=       "prophetnet"
  		A_			:    List[Any]   					=       ["past_key_values"]
  		A_			:    Any   					=       {
  		    "num_attention_heads": "num_encoder_attention_heads",
  		}
  
  
  
  
  
  
  
  		def __init__(      self	:		str						,  _A	:		Optional[float] = 0.1						,  _A	:		Optional[Union[str, Callable]] = "gelu"						,  _A	:		Optional[int] = 30522						,  _A	:		Optional[int] = 1024						,  _A	:		Optional[int] = 4096						,  _A	:		Optional[int] = 12						,  _A	:		Optional[int] = 16						,  _A	:		Optional[int] = 4096						,  _A	:		Optional[int] = 12						,  _A	:		Optional[int] = 16						,  _A	:		Optional[float] = 0.1						,  _A	:		Optional[float] = 0.1						,  _A	:		Optional[int] = 512						,  _A	:		Optional[float] = 0.02						,  _A	:		Optional[bool] = True						,  _A	:		Optional[bool] = True						,  _A	:		Optional[int] = 0						,  _A	:		Optional[int] = 2						,  _A	:		Optional[int] = 32						,  _A	:		Optional[int] = 128						,  _A	:		Optional[bool] = False						,  _A	:		Optional[float] = 0.0						,  _A	:		Optional[bool] = True						,  _A	:		Optional[int] = 0						,  _A	:		Optional[int] = 1						,  _A	:		Optional[int] = 2						,  **_A	:		Tuple						,  )						->				Optional[int]:
  			__magic_name__ :					List[Any]  			=  vocab_size
  			__magic_name__ :					str  			=  hidden_size
  			__magic_name__ :					Optional[int]  			=  encoder_ffn_dim
  			__magic_name__ :					List[Any]  			=  num_encoder_layers
  			__magic_name__ :					str  			=  num_encoder_attention_heads
  			__magic_name__ :					Any  			=  decoder_ffn_dim
  			__magic_name__ :					Optional[Any]  			=  num_decoder_layers
  			__magic_name__ :					Optional[int]  			=  num_decoder_attention_heads
  			__magic_name__ :					Any  			=  max_position_embeddings
  			__magic_name__ :					Optional[Any]  			=  init_std  # Normal(0, this parameter)
  			__magic_name__ :					List[Any]  			=  activation_function
  
  			# parameters for prophetnet
  			__magic_name__ :					Union[str, Any]  			=  ngram
  			__magic_name__ :					Tuple  			=  num_buckets
  			__magic_name__ :					str  			=  relative_max_distance
  			__magic_name__ :					Optional[Any]  			=  disable_ngram_loss
  			__magic_name__ :					Optional[int]  			=  eps
  
  			# 3 Types of Dropout
  			__magic_name__ :					Tuple  			=  attention_dropout
  			__magic_name__ :					int  			=  activation_dropout
  			__magic_name__ :					Any  			=  dropout
  
  			__magic_name__ :					Any  			=  use_cache
  
  			super().__init__(
  			    pad_token_id=UpperCAmelCase_						,  bos_token_id=UpperCAmelCase_						,  eos_token_id=UpperCAmelCase_						,  is_encoder_decoder=UpperCAmelCase_						,  add_cross_attention=UpperCAmelCase_						,  decoder_start_token_id=UpperCAmelCase_						,  **UpperCAmelCase_						,  )
  
  
  
  
  
  
  
  		@property
  		def      __lowerCAmelCase	(      self	:		Any    )						->				Tuple:
  			return self.num_encoder_layers + self.num_decoder_layers
  
  
  
  
  
  
  
  		@num_hidden_layers.setter
  		def      __lowerCAmelCase	(      self	:		Optional[int]						,  _A	:		Union[str, Any]    )						->				List[str]:
  			raise NotImplementedError(
  			    'This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'
  			    ' `num_decoder_layers`.'    )
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() = }')