





'''simple docstring'''




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


class 			SCREAMING_SNAKE_CASE   (a__							):
					lowerCAmelCase		      =	['''image_processor''', '''tokenizer''']
					lowerCAmelCase		      =	'''AutoImageProcessor'''
					lowerCAmelCase		      =	'''AutoTokenizer'''


					def __init__(						self						,     _UpperCAmelCase						,     _UpperCAmelCase):

										'''simple docstring'''






										super().__init__(_UpperCAmelCase						,     _UpperCAmelCase)
										__A						:			Tuple								=	self.image_processor


					def __call__(						self						,     _UpperCAmelCase=None						,     _UpperCAmelCase=None						,     _UpperCAmelCase=None						,     **_UpperCAmelCase):

										'''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						:			Any								=	self.tokenizer(_UpperCAmelCase						,     return_tensors=_UpperCAmelCase						,     **_UpperCAmelCase)

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

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


					def 							SCREAMING_SNAKE_CASE  (						self						,     *_UpperCAmelCase						,     **_UpperCAmelCase):

										'''simple docstring'''






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


					def 							SCREAMING_SNAKE_CASE  (						self						,     *_UpperCAmelCase						,     **_UpperCAmelCase):

										'''simple docstring'''






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


					@property
					def 							SCREAMING_SNAKE_CASE  (						self):

										'''simple docstring'''






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






'''simple docstring'''




import math






def 	_lowerCAmelCase      (  __snake_case  :			int      )					->					bool:

     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or number % 2 == 0 or number % 3 == 0:
          # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
          return False

     # All primes number are in format of 6k +/- 1
     for i in range(5			,							int(math.sqrt(__snake_case      ) + 1      )			,							6      ):
          if number % i == 0 or number % (i + 2) == 0:
               return False
     return True






def 	_lowerCAmelCase      (  __snake_case  :			float = 0.1      )					->					int:
     __A						:			Dict								=	3
     __A						:			int								=	3

     while primes / (2 * j - 1) >= ratio:
          for i in range(j * j + j + 1			,							(j + 2) * (j + 2)			,							j + 1      ):
               primes += is_prime(__snake_case      )
          j += 2
     return j


if __name__ == "__main__":
  import doctest

  doctest.testmod()