
"""simple docstring"""



import warnings

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





class 				a			(					lowercase      ):
      UpperCamelCase							:   Dict           =     ["""image_processor""", """tokenizer"""]
      UpperCamelCase							:   Union[str, Any]           =     """CLIPImageProcessor"""
      UpperCamelCase							:   Optional[int]           =     ("""CLIPTokenizer""", """CLIPTokenizerFast""")



      def __init__(   self     ,	UpperCamelCase_=None     ,	UpperCamelCase_=None     ,	**UpperCamelCase_      ):
          UpperCAmelCase__	:      List[Any]     							=					None
          if "feature_extractor" in kwargs:
              warnings.warn(
                  'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                  ' instead.'     ,	UpperCamelCase_     ,	)
              UpperCAmelCase__	:      Union[str, Any]     							=					kwargs.pop('feature_extractor'      )

          UpperCAmelCase__	:      List[str]     							=					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__(UpperCamelCase_     ,	UpperCamelCase_      )



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

          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__	:      Dict     							=					self.tokenizer(UpperCamelCase_     ,	return_tensors=UpperCamelCase_     ,	**UpperCamelCase_      )

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

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



      def  __snake_case							(   self     ,	*UpperCamelCase_     ,	**UpperCamelCase_      ):
          return self.tokenizer.batch_decode(*UpperCamelCase_     ,	**UpperCamelCase_      )



      def  __snake_case							(   self     ,	*UpperCamelCase_     ,	**UpperCamelCase_      ):
          return self.tokenizer.decode(*UpperCamelCase_     ,	**UpperCamelCase_      )



      @property
      def  __snake_case							(   self      ):
          UpperCAmelCase__	:      List[Any]     							=					self.tokenizer.model_input_names
          UpperCAmelCase__	:      int     							=					self.image_processor.model_input_names
          return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names      )      )



      @property
      def  __snake_case							(   self      ):
          warnings.warn(
              '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'     ,	UpperCamelCase_     ,	)
          return self.image_processor_class



      @property
      def  __snake_case							(   self      ):
          warnings.warn(
              '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'     ,	UpperCamelCase_     ,	)
          return self.image_processor



"""simple docstring"""



import random
def 					lowerCamelCase   (     _snake_case ):
    UpperCAmelCase__	:      Tuple     							=					num - 1
    UpperCAmelCase__	:      Dict     							=					0

    while s % 2 == 0:
        UpperCAmelCase__	:      Optional[int]     							=					s // 2
        t += 1

    for _ in range(5 ):
        UpperCAmelCase__	:      Optional[int]     							=					random.randrange(2    ,num - 1 )
        UpperCAmelCase__	:      List[str]     							=					pow(_snake_case    ,_snake_case    ,_snake_case )
        if v != 1:
            UpperCAmelCase__	:      List[Any]     							=					0
            while v != (num - 1):
                if i == t - 1:
                    return False
                else:
                    UpperCAmelCase__	:      Optional[Any]     							=					i + 1
                    UpperCAmelCase__	:      Any     							=					(v**2) % num
    return True
def 					lowerCamelCase   (     _snake_case ):
    if num < 2:
        return False

    UpperCAmelCase__	:      str     							=					[
        2,
        3,
        5,
        7,
        11,
        13,
        17,
        19,
        23,
        29,
        31,
        37,
        41,
        43,
        47,
        53,
        59,
        61,
        67,
        71,
        73,
        79,
        83,
        89,
        97,
        101,
        103,
        107,
        109,
        113,
        127,
        131,
        137,
        139,
        149,
        151,
        157,
        163,
        167,
        173,
        179,
        181,
        191,
        193,
        197,
        199,
        211,
        223,
        227,
        229,
        233,
        239,
        241,
        251,
        257,
        263,
        269,
        271,
        277,
        281,
        283,
        293,
        307,
        311,
        313,
        317,
        331,
        337,
        347,
        349,
        353,
        359,
        367,
        373,
        379,
        383,
        389,
        397,
        401,
        409,
        419,
        421,
        431,
        433,
        439,
        443,
        449,
        457,
        461,
        463,
        467,
        479,
        487,
        491,
        499,
        503,
        509,
        521,
        523,
        541,
        547,
        557,
        563,
        569,
        571,
        577,
        587,
        593,
        599,
        601,
        607,
        613,
        617,
        619,
        631,
        641,
        643,
        647,
        653,
        659,
        661,
        673,
        677,
        683,
        691,
        701,
        709,
        719,
        727,
        733,
        739,
        743,
        751,
        757,
        761,
        769,
        773,
        787,
        797,
        809,
        811,
        821,
        823,
        827,
        829,
        839,
        853,
        857,
        859,
        863,
        877,
        881,
        883,
        887,
        907,
        911,
        919,
        929,
        937,
        941,
        947,
        953,
        967,
        971,
        977,
        983,
        991,
        997,
    ]

    if num in low_primes:
        return True

    for prime in low_primes:
        if (num % prime) == 0:
            return False

    return rabin_miller(_snake_case )
def 					lowerCamelCase   (     _snake_case = 1024 ):
    while True:
        UpperCAmelCase__	:      List[Any]     							=					random.randrange(2 ** (keysize - 1)    ,2 ** (keysize) )
        if is_prime_low_num(_snake_case ):
            return num


if __name__ == "__main__":
    UpperCamelCase__          =	generate_large_prime()
    print(('Prime number:', num))
    print(('is_prime_low_num:', is_prime_low_num(num)))

