
import math


def 			UpperCamelCase					(    __lowerCamelCase     : int    ):



       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(__lowerCamelCase    ) + 1    )				,					6    ):
              if number % i == 0 or number % (i + 2) == 0:
                     return False
       return True


def 			UpperCamelCase					(    __lowerCamelCase     : float = 0.1    ):
       snake_case       :   Tuple							=      3
       snake_case       :   Optional[Any]							=      3

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


if __name__ == "__main__":
   import doctest

   doctest.testmod()











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_  )



