
import math



def 		UpperCamelCase     (       _UpperCAmelCase  :   int  )   ->			list[int]:






						'''simple docstring'''

						_lowercase       :	Optional[Any]           =   []
						_lowercase       :	Optional[int]           =   2
						_lowercase       :	str           =   int(math.sqrt(_UpperCAmelCase  )  )  # Size of every segment
						_lowercase       :	List[str]           =   [True] * (end + 1)
						_lowercase       :	List[str]           =   []

						while start <= end:
												if temp[start] is True:
																		in_prime.append(_UpperCAmelCase  )
																		for i in range(start * start ,			end + 1 ,			_UpperCAmelCase  ):
																								_lowercase       :	Optional[int]           =   False
												start += 1
						prime += in_prime

						_lowercase       :	List[Any]           =   end + 1
						_lowercase       :	Dict           =   min(2 * end ,			_UpperCAmelCase  )

						while low <= n:
												_lowercase       :	Any           =   [True] * (high - low + 1)
												for each in in_prime:
																		_lowercase       :	List[Any]           =   math.floor(low / each  ) * each
																		if t < low:
																								t += each

																		for j in range(_UpperCAmelCase ,			high + 1 ,			_UpperCAmelCase  ):
																								_lowercase       :	Optional[Any]           =   False

												for j in range(len(_UpperCAmelCase  )  ):
																		if temp[j] is True:
																								prime.append(j + low  )

												_lowercase       :	str           =   high + 1
												_lowercase       :	List[str]           =   min(high + end ,			_UpperCAmelCase  )

						return prime


print(sieve(10**6))






import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


UpperCamelCase_						:     List[str]	       =							logging.get_logger(__name__)




class   __lowercase						(						__snake_case       ):






	def __init__(self				: int      ,	*snake_case				: Optional[Any]      ,	**snake_case				: Optional[Any]    ) ->			None:
							warnings.warn(
							    "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use FlavaImageProcessor instead."      ,	snake_case      ,	)
							super().__init__(*snake_case      ,	**snake_case    )




