code: 
  
  
  '''simple docstring'''
  
  import copy
  
  from transformers.configuration_utils import PretrainedConfig
  from transformers.utils import logging
  
  
  lowerCAmelCase   :Any								=    logging.get_logger(__name__)
  class _lowerCamelCase (		lowercase__							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		A_			:    int   					=       """hybrid-clip"""
  		A_			:    Dict   					=       True
  
  
  
  
  
  
  
  		def __init__(      self	:		Any						,  _A	:		List[Any]=512						,  **_A	:		str    )						->				Union[str, Any]:
  			super().__init__(**_A    )
  
  			if "text_config" not in kwargs:
  				raise ValueError('`text_config` can not be `None`.'    )
  
  			if "vision_config" not in kwargs:
  				raise ValueError('`vision_config` can not be `None`.'    )
  
  			__magic_name__ :					Optional[int]  			=  kwargs.pop('text_config'    )
  			__magic_name__ :					Tuple  			=  kwargs.pop('vision_config'    )
  
  			__magic_name__ :					Optional[Any]  			=  text_config.pop('model_type'    )
  			__magic_name__ :					Optional[Any]  			=  vision_config.pop('model_type'    )
  
  			from transformers import AutoConfig
  
  			__magic_name__ :					Any  			=  AutoConfig.for_model(_A						,  **_A    )
  
  			if vision_model_type == "clip":
  				__magic_name__ :					Union[str, Any]  			=  AutoConfig.for_model(_A						,  **_A    ).vision_config
  			elif vision_model_type == "clip_vision_model":
  				from transformers import CLIPVisionConfig
  
  				__magic_name__ :					str  			=  CLIPVisionConfig(**_A    )
  			else:
  				__magic_name__ :					Dict  			=  AutoConfig.for_model(_A						,  **_A    )
  
  			__magic_name__ :					Dict  			=  projection_dim
  			__magic_name__ :					int  			=  1.0
  
  
  
  
  
  
  
  		@classmethod
  		def      __lowerCAmelCase	(      cls	:		Optional[int]						,  _A	:		PretrainedConfig						,  _A	:		PretrainedConfig						,  **_A	:		List[Any]    )						->				Dict:
  			return cls(text_config=text_config.to_dict()						,  vision_config=vision_config.to_dict()						,  **_A    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]    )						->				Optional[Any]:
  			__magic_name__ :					Optional[int]  			=  copy.deepcopy(self.__dict__    )
  			__magic_name__ :					Optional[Any]  			=  self.text_config.to_dict()
  			__magic_name__ :					Union[str, Any]  			=  self.vision_config.to_dict()
  			__magic_name__ :					Tuple  			=  self.__class__.model_type
  			return output
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() = }')