




import math

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       int     ):


      '''simple docstring'''



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

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       float = 0.1     ):


      '''simple docstring'''



      lowerCamelCase_		     =    3
      lowerCamelCase_		     =    3

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


if __name__ == "__main__":
 import doctest

 doctest.testmod()









import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


lowerCamelCase				:		Union[str, Any]     =   logging.get_logger(__name__)







class   A(						UpperCamelCase   ):



 '''simple docstring'''


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

       """simple docstring"""






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



