






"""simple docstring"""



import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin


class 	_UpperCamelCase ( __UpperCamelCase							):



    '''simple docstring'''


    __lowercase    :   Any											=						['image_processor', 'tokenizer']
    __lowercase    :   Optional[Any]											=						'AutoImageProcessor'
    __lowercase    :   List[str]											=						'AutoTokenizer'


    def __init__(      self   ,			__lowercase=None   ,			__lowercase=None   ,			**__lowercase			):
     UpperCAmelCase__ 						=				None
     if "feature_extractor" in kwargs:
      warnings.warn(
          """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
          """ instead."""   ,			__lowercase   ,			)
      UpperCAmelCase__ 						=				kwargs.pop("""feature_extractor"""			)

     UpperCAmelCase__ 						=				image_processor if image_processor is not None else feature_extractor
     if image_processor is None:
      raise ValueError("""You need to specify an `image_processor`."""			)
     if tokenizer is None:
      raise ValueError("""You need to specify a `tokenizer`."""			)

     super().__init__(__lowercase   ,			__lowercase			)
     UpperCAmelCase__ 						=				self.image_processor
     UpperCAmelCase__ 						=				False


    def __call__(      self   ,			*__lowercase   ,			**__lowercase			):
     # For backward compatibility
     if self._in_target_context_manager:
      return self.current_processor(*__lowercase   ,			**__lowercase			)

     UpperCAmelCase__ 						=				kwargs.pop("""images"""   ,			__lowercase			)
     UpperCAmelCase__ 						=				kwargs.pop("""text"""   ,			__lowercase			)
     if len(__lowercase			) > 0:
      UpperCAmelCase__ 						=				args[0]
      UpperCAmelCase__ 						=				args[1:]

     if images is None and text is None:
      raise ValueError("""You need to specify either an `images` or `text` input to process."""			)

     if images is not None:
      UpperCAmelCase__ 						=				self.image_processor(__lowercase   ,			*__lowercase   ,			**__lowercase			)
     if text is not None:
      UpperCAmelCase__ 						=				self.tokenizer(__lowercase   ,			**__lowercase			)

     if text is None:
      return inputs
     elif images is None:
      return encodings
     else:
      UpperCAmelCase__ 						=				encodings["""input_ids"""]
      return inputs


    def 		A__      (      self   ,			*__lowercase   ,			**__lowercase			):
     return self.tokenizer.batch_decode(*__lowercase   ,			**__lowercase			)


    def 		A__      (      self   ,			*__lowercase   ,			**__lowercase			):
     return self.tokenizer.decode(*__lowercase   ,			**__lowercase			)


    @contextmanager
    def 		A__      (      self			):
     warnings.warn(
         """`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your """
         """labels by using the argument `text` of the regular `__call__` method (either in the same call as """
         """your images inputs, or in a separate call."""			)
     UpperCAmelCase__ 						=				True
     UpperCAmelCase__ 						=				self.tokenizer
     yield
     UpperCAmelCase__ 						=				self.image_processor
     UpperCAmelCase__ 						=				False


    @property
    def 		A__      (      self			):
     warnings.warn(
         """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""   ,			__lowercase   ,			)
     return self.image_processor_class






    @property
    def 		A__      (      self			):
     warnings.warn(
         """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""   ,			__lowercase   ,			)
     return self.image_processor











"""simple docstring"""



import itertools
from pathlib import Path




def       snake_case__		(   _SCREAMING_SNAKE_CASE			)    ->int:
 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       snake_case__		(   _SCREAMING_SNAKE_CASE = "keylog.txt"			)    ->int:
 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() = }''')



