


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


class     lowercase__  (					__SCREAMING_SNAKE_CASE		):
  A__=  ['image_processor', 'tokenizer']
  A__=  'AutoImageProcessor'
  A__=  'AutoTokenizer'






  def __init__(					self      :					Union[str, Any]		,						_lowercase      :					Optional[int]		,						_lowercase      :					List[str] ):




         """simple docstring"""







         super().__init__(_lowercase		,						_lowercase )
         UpperCAmelCase__										=     self.image_processor






  def __call__(					self      :					Optional[Any]		,						_lowercase      :					Tuple=None		,						_lowercase      :					Dict=None		,						_lowercase      :					Union[str, Any]=None		,						**_lowercase      :					Dict ):




         """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:
                UpperCAmelCase__										=     self.tokenizer(_lowercase		,						return_tensors=_lowercase		,						**_lowercase )

         if images is not None:
                UpperCAmelCase__										=     self.image_processor(_lowercase		,						return_tensors=_lowercase		,						**_lowercase )

         if text is not None and images is not None:
                UpperCAmelCase__										=     image_features.pixel_values
                return encoding
         elif text is not None:
                return encoding
         else:
                return BatchEncoding(data=dict(**_lowercase )		,						tensor_type=_lowercase )






  def 			_UpperCAmelCase  (					self      :					Dict		,						*_lowercase      :					Optional[Any]		,						**_lowercase      :					List[str] ):




         """simple docstring"""







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






  def 			_UpperCAmelCase  (					self      :					List[str]		,						*_lowercase      :					Optional[int]		,						**_lowercase      :					List[str] ):




         """simple docstring"""







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






  @property
  def 			_UpperCAmelCase  (					self      :					int ):




         """simple docstring"""







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









from __future__ import annotations





def __UpperCAmelCase       (		__A			)						->					list[int]:



       '''simple docstring'''





       UpperCAmelCase__										=     [True] * limit
       UpperCAmelCase__										=     False
       UpperCAmelCase__										=     False
       UpperCAmelCase__										=     True

       for i in range(3 ,						int(limit**0.5 + 1			) ,						2			):
              UpperCAmelCase__										=     i * 2
              while index < limit:
                     UpperCAmelCase__										=     False
                     UpperCAmelCase__										=     index + i

       UpperCAmelCase__										=     [2]

       for i in range(3 ,						__A ,						2			):
              if is_prime[i]:
                     primes.append(__A			)

       return primes





def __UpperCAmelCase       (		__A = 1_0_0_0_0_0_0			)						->					int:



       '''simple docstring'''





       UpperCAmelCase__										=     prime_sieve(__A			)
       UpperCAmelCase__										=     0
       UpperCAmelCase__										=     0

       for i in range(len(__A			)			):
              for j in range(i + length ,						len(__A			)			):
                     UpperCAmelCase__										=     sum(primes[i:j]			)
                     if sol >= ceiling:
                            break

                     if sol in primes:
                            UpperCAmelCase__										=     j - i
                            UpperCAmelCase__										=     sol

       return largest


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





