


from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class 					lowerCAmelCase_ (       _a):
						lowerCamelCase_         =     ['image_processor', 'tokenizer']
						lowerCamelCase_         =     'AutoImageProcessor'
						lowerCamelCase_         =     'AutoTokenizer'




						def __init__(	self						:   Any   ,     __A						:   List[Any]   ,     __A						:   Optional[int]						)      ->Union[str, Any]:






									"""simple docstring"""






									super().__init__(__A   ,     __A						)
									a__ :Optional[int]						  =    self.image_processor




						def __call__(	self						:   List[Any]   ,     __A						:   Tuple=None   ,     __A						:   Union[str, Any]=None   ,     __A						:   Optional[int]=None   ,     **__A						:   Union[str, Any]						)      ->List[Any]:






									"""simple docstring"""






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

									if text is not None:
												a__ :Dict						  =    self.tokenizer(__A   ,     return_tensors=__A   ,     **__A						)

									if images is not None:
												a__ :Dict						  =    self.image_processor(__A   ,     return_tensors=__A   ,     **__A						)

									if text is not None and images is not None:
												a__ :Optional[Any]						  =    image_features.pixel_values
												return encoding
									elif text is not None:
												return encoding
									else:
												return BatchEncoding(data=dict(**__A						)   ,     tensor_type=__A						)




						def  _snake_case					(	self						:   int   ,     *__A						:   Optional[int]   ,     **__A						:   List[str]						)      ->List[str]:






									"""simple docstring"""






									return self.tokenizer.batch_decode(*__A   ,     **__A						)




						def  _snake_case					(	self						:   List[Any]   ,     *__A						:   Optional[Any]   ,     **__A						:   Dict						)      ->Tuple:






									"""simple docstring"""






									return self.tokenizer.decode(*__A   ,     **__A						)






						@property
						def  _snake_case					(	self						:   List[Any]						)      ->str:






									"""simple docstring"""






									return ["input_ids", "attention_mask", "pixel_values"]






def 				lowerCamelCase__	(      a	:   int = 1_000_000				)    ->	int:





			"""simple docstring"""
			a__ :int						  =    [i - 1 for i in range(limit + 1				)]

			for i in range(2	,  limit + 1				):
						if phi[i] == i - 1:
									for j in range(2 * i	,  limit + 1	,  a				):
												phi[j] -= phi[j] // i

			return sum(phi[2 : limit + 1]				)


if __name__ == "__main__":
		print(solution())


