






"""simple docstring"""





import itertools
from pathlib import Path







def 	lowerCAmelCase_(			SCREAMING_SNAKE_CASE       )       ->						int:
    """simple docstring"""

    UpperCamelCase__								=     [tuple(SCREAMING_SNAKE_CASE       ) for login in logins]

    UpperCamelCase__								=     {char for login in split_logins for char in login}

    for permutation in itertools.permutations(SCREAMING_SNAKE_CASE       ):
        UpperCamelCase__								=     True
        for login in logins:
            if not (
                permutation.index(login[0]       )
                < permutation.index(login[1]       )
                < permutation.index(login[2]       )
            ):
                UpperCamelCase__								=     False
                break

        if satisfied:
            return int(''.join(SCREAMING_SNAKE_CASE       )       )

    raise Exception('Unable to find the secret passcode'       )







def 	lowerCAmelCase_(			SCREAMING_SNAKE_CASE = "keylog.txt"       )       ->						int:
    """simple docstring"""

    UpperCamelCase__								=     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() = }""")












"""simple docstring"""





import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig
class  __lowerCamelCase     (	_a	):
   a   :					List[Any]			    =CustomConfig

   def __init__(       self			,					snake_case_   )		->							str:
       super().__init__(snake_case_   )
       UpperCamelCase__								=     torch.nn.Linear(config.hidden_size			,					config.hidden_size   )

   def     SCREAMING_SNAKE_CASE__			(       self			,					snake_case_   )		->							Optional[int]:
       return self.linear(snake_case_   )







   def     SCREAMING_SNAKE_CASE__			(       self			,					snake_case_   )		->							Union[str, Any]:
       pass







class  __lowerCamelCase     (	_a	):
   a   :					Optional[int]			    =NoSuperInitConfig

   def __init__(       self			,					snake_case_   )		->							Optional[int]:
       super().__init__(snake_case_   )
       UpperCamelCase__								=     torch.nn.Linear(config.attribute			,					config.attribute   )

   def     SCREAMING_SNAKE_CASE__			(       self			,					snake_case_   )		->							int:
       return self.linear(snake_case_   )







   def     SCREAMING_SNAKE_CASE__			(       self			,					snake_case_   )		->							Union[str, Any]:
       pass




