


def        _UpperCamelCase							(      lowercase__      ):

						if num <= 0:
												raise ValueError('''Input must be a positive integer'''      )

						__SCREAMING_SNAKE_CASE						:     Tuple					=		[True] * (num + 1)

						__SCREAMING_SNAKE_CASE						:     Dict					=		2
						while p * p <= num:
												if primes[p]:
																		for i in range(p * p    ,       num + 1    ,       lowercase__      ):
																								__SCREAMING_SNAKE_CASE						:     str					=		False
												p += 1

						return [prime for prime in range(2    ,       num + 1      ) if primes[prime]]


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						__lowerCAmelCase	: List[str]  				=int(input('Enter a positive integer: ').strip())
						print(prime_sieve_eratosthenes(user_num))




import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


_snake_case             =     logging.get_logger(__name__)
class 	UpperCAmelCase_					(					UpperCamelCase    ):

   '''simple docstring'''




   def __init__(		self						,				*__A						,				**__A ):






     """simple docstring"""





     warnings.warn(
         "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
         " use DPTImageProcessor instead."						,				__A						,				)
     super().__init__(*__A						,				**__A )



