


'''simple docstring'''

import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class _lowerCamelCase (		lowercase__							):



		'''simple docstring'''







		A_			:    List[str]   					=       ["""image_processor""", """tokenizer"""]
		A_			:    Dict   					=       """VideoMAEImageProcessor"""
		A_			:    List[Any]   					=       ("""CLIPTokenizer""", """CLIPTokenizerFast""")







		def __init__(      self	:		Dict						,  _A	:		List[Any]=None						,  _A	:		int=None						,  **_A	:		int    )						->				int:
			__magic_name__ :					int  			=  None
			if "feature_extractor" in kwargs:
				warnings.warn(
				    'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
				    ' instead.'						,  _A						,  )
				__magic_name__ :					Optional[Any]  			=  kwargs.pop('feature_extractor'    )

			__magic_name__ :					Union[str, Any]  			=  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__(_A						,  _A    )
			__magic_name__ :					Union[str, Any]  			=  self.image_processor







		def __call__(      self	:		Optional[Any]						,  _A	:		List[str]=None						,  _A	:		Tuple=None						,  _A	:		Any=None						,  **_A	:		Dict    )						->				str:

			if text is None and videos is None:
				raise ValueError('You have to specify either text or videos. Both cannot be none.'    )

			if text is not None:
				__magic_name__ :					Tuple  			=  self.tokenizer(_A						,  return_tensors=_A						,  **_A    )

			if videos is not None:
				__magic_name__ :					Dict  			=  self.image_processor(_A						,  return_tensors=_A						,  **_A    )

			if text is not None and videos is not None:
				__magic_name__ :					List[str]  			=  image_features.pixel_values
				return encoding
			elif text is not None:
				return encoding
			else:
				return BatchEncoding(data=dict(**_A    )						,  tensor_type=_A    )







		def      __lowerCAmelCase	(      self	:		Dict						,  *_A	:		Union[str, Any]						,  **_A	:		Union[str, Any]    )						->				int:
			return self.tokenizer.batch_decode(*_A						,  **_A    )







		def      __lowerCAmelCase	(      self	:		List[str]						,  *_A	:		Union[str, Any]						,  **_A	:		Dict    )						->				Dict:
			return self.tokenizer.decode(*_A						,  **_A    )







		@property
		def      __lowerCAmelCase	(      self	:		int    )						->				Any:
			return ["input_ids", "attention_mask", "position_ids", "pixel_values"]







		@property
		def      __lowerCAmelCase	(      self	:		Optional[Any]    )						->				Optional[Any]:
			warnings.warn(
			    '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'						,  _A						,  )
			return self.image_processor_class







		@property
		def      __lowerCAmelCase	(      self	:		Dict    )						->				Optional[Any]:
			warnings.warn(
			    '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'						,  _A						,  )
			return self.image_processor



'''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() = }')