




from math import isqrt

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       int     ):


      '''simple docstring'''



      lowerCamelCase_		     =    [True] * max_number
      for i in range(2	,							isqrt(max_number - 1     ) + 1     ):
            if is_prime[i]:
                  for j in range(i**2	,							lowercase	,							lowercase     ):
                        lowerCamelCase_		     =    False

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

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       int = 10**8     ):


      '''simple docstring'''



      lowerCamelCase_		     =    calculate_prime_numbers(max_number // 2     )

      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    len(lowercase     ) - 1
      while left <= right:
            while prime_numbers[left] * prime_numbers[right] >= max_number:
                  right -= 1
            semiprimes_count += right - left + 1
            left += 1

      return semiprimes_count


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









import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


lowerCamelCase				:		Any     =   logging.get_logger(__name__)







class   A(						UpperCamelCase   ):



 '''simple docstring'''


 def __init__(				self					:  Dict						,							*A_					:  Optional[int]						,							**A_					:  int  )   ->	None:

       """simple docstring"""






       warnings.warn(
           'The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
           ' use DonutImageProcessor instead.'						,							A_						,							)
       super().__init__(*A_						,							**A_  )



