




'''simple docstring'''





from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class        __snake_case  (lowerCAmelCase__		):
				lowerCAmelCase__				=     ["image_processor", "tokenizer"]
				lowerCAmelCase__				=     "AutoImageProcessor"
				lowerCAmelCase__				=     "AutoTokenizer"



				def __init__(      self      :		List[Any]		,	_UpperCAmelCase      :		Dict		,	_UpperCAmelCase      :		str      )  ->    int:





								'''simple docstring'''




								super().__init__(_SCREAMING_SNAKE_CASE		,	_SCREAMING_SNAKE_CASE      )
								_lowerCAmelCase    :    Union[str, Any]										=      self.image_processor



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





								'''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:
												_lowerCAmelCase    :    List[str]										=      self.tokenizer(_SCREAMING_SNAKE_CASE		,	return_tensors=_SCREAMING_SNAKE_CASE		,	**_SCREAMING_SNAKE_CASE      )

								if images is not None:
												_lowerCAmelCase    :    Optional[Any]										=      self.image_processor(_SCREAMING_SNAKE_CASE		,	return_tensors=_SCREAMING_SNAKE_CASE		,	**_SCREAMING_SNAKE_CASE      )

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



				def       SCREAMING_SNAKE_CASE       (      self      :		List[str]		,	*_UpperCAmelCase      :		Any		,	**_UpperCAmelCase      :		List[str]      )  ->    Optional[int]:





								'''simple docstring'''




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



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict		,	*_UpperCAmelCase      :		Tuple		,	**_UpperCAmelCase      :		List[str]      )  ->    Optional[int]:





								'''simple docstring'''




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



				@property
				def       SCREAMING_SNAKE_CASE       (      self      :		str      )  ->    Union[str, Any]:





								'''simple docstring'''




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







import sys

_lowerCamelCase      :  Optional[Any]      						=						(
    "73167176531330624919225119674426574742355349194934"
    "96983520312774506326239578318016984801869478851843"
    "85861560789112949495459501737958331952853208805511"
    "12540698747158523863050715693290963295227443043557"
    "66896648950445244523161731856403098711121722383113"
    "62229893423380308135336276614282806444486645238749"
    "30358907296290491560440772390713810515859307960866"
    "70172427121883998797908792274921901699720888093776"
    "65727333001053367881220235421809751254540594752243"
    "52584907711670556013604839586446706324415722155397"
    "53697817977846174064955149290862569321978468622482"
    "83972241375657056057490261407972968652414535100474"
    "82166370484403199890008895243450658541227588666881"
    "16427171479924442928230863465674813919123162824586"
    "17866458359124566529476545682848912883142607690042"
    "24219022671055626321111109370544217506941658960408"
    "07198403850962455444362981230987879927244284909188"
    "84580156166097919133875499200524063689912560717606"
    "05886116467109405077541002256983155200055935729725"
    "71636269561882670428252483600823257530420752963450"
)




def 							_UpperCAmelCase  (UpperCamelCase_ : str = N       ):
				'''simple docstring'''
				_lowerCAmelCase    :    List[str]										=      -sys.maxsize - 1
				for i in range(len(UpperCamelCase_       ) - 12       ):
								_lowerCAmelCase    :    List[str]										=      1
								for j in range(13       ):
												product *= int(n[i + j]       )
								if product > largest_product:
												_lowerCAmelCase    :    Any										=      product
				return largest_product


if __name__ == "__main__":
	print(F'''{solution() = }''')

