from ...processing_utils import ProcessorMixin



class 				a							(			__lowerCAmelCase       ):







 """simple docstring"""






 lowerCamelCase	:Tuple    			=		'''WhisperFeatureExtractor'''
 lowerCamelCase	:Any    			=		'''WhisperTokenizer'''



 def __init__(					self		,				lowerCAmelCase_		,				lowerCAmelCase_							)  ->					int:
        super().__init__(lowerCAmelCase_		,				lowerCAmelCase_							)
        _A        =  self.feature_extractor
        _A        =  False



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_=None		,				lowerCAmelCase_=None		,				lowerCAmelCase_=True							)  ->					Tuple:
        return self.tokenizer.get_decoder_prompt_ids(task=lowerCAmelCase_		,				language=lowerCAmelCase_		,				no_timestamps=lowerCAmelCase_							)



 def __call__(					self		,				*lowerCAmelCase_		,				**lowerCAmelCase_							)  ->					List[Any]:
        # For backward compatibility
        if self._in_target_context_manager:
               return self.current_processor(*lowerCAmelCase_		,				**lowerCAmelCase_							)

        _A        =  kwargs.pop("""audio"""		,				lowerCAmelCase_							)
        _A        =  kwargs.pop("""sampling_rate"""		,				lowerCAmelCase_							)
        _A        =  kwargs.pop("""text"""		,				lowerCAmelCase_							)
        if len(lowerCAmelCase_							) > 0:
               _A        =  args[0]
               _A        =  args[1:]

        if audio is None and text is None:
               raise ValueError("""You need to specify either an `audio` or `text` input to process."""							)

        if audio is not None:
               _A        =  self.feature_extractor(lowerCAmelCase_		,				*lowerCAmelCase_		,				sampling_rate=lowerCAmelCase_		,				**lowerCAmelCase_							)
        if text is not None:
               _A        =  self.tokenizer(lowerCAmelCase_		,				**lowerCAmelCase_							)

        if text is None:
               return inputs

        elif audio is None:
               return encodings
        else:
               _A        =  encodings["""input_ids"""]
               return inputs



 def      UpperCAmelCase							(					self		,				*lowerCAmelCase_		,				**lowerCAmelCase_							)  ->					Union[str, Any]:
        return self.tokenizer.batch_decode(*lowerCAmelCase_		,				**lowerCAmelCase_							)



 def      UpperCAmelCase							(					self		,				*lowerCAmelCase_		,				**lowerCAmelCase_							)  ->					Union[str, Any]:
        return self.tokenizer.decode(*lowerCAmelCase_		,				**lowerCAmelCase_							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_="np"							)  ->					List[Any]:
        return self.tokenizer.get_prompt_ids(lowerCAmelCase_		,				return_tensors=lowerCAmelCase_							)





from math import isqrt, loga






def  snake_case  (       snake_case__			:int)						->   list[int]:
       _A        =  [True] * max_number
       for i in range(2   ,	isqrt(max_number - 1) + 1):
              if is_prime[i]:
                     for j in range(i**2   ,	snake_case__   ,	snake_case__):
                            _A        =  False

       return [i for i in range(2   ,	snake_case__) if is_prime[i]]






def  snake_case  (       snake_case__			:int = 800_800   ,	snake_case__			:int = 800_800)						->   int:
       _A        =  degree * loga(snake_case__)
       _A        =  int(snake_case__)
       _A        =  calculate_prime_numbers(snake_case__)

       _A        =  0
       _A        =  0
       _A        =  len(snake_case__) - 1
       while left < right:
              while (
                  prime_numbers[right] * loga(prime_numbers[left])
                  + prime_numbers[left] * loga(prime_numbers[right])
                  > upper_bound
              ):
                     right -= 1
              hybrid_integers_count += right - left
              left += 1

       return hybrid_integers_count


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




