





from itertools import compress, repeat
from math import ceil, sqrt






def   lowerCamelCase_		(       _UpperCamelCase				)	->		list[int]:






				"""simple docstring"""


				if num <= 2:
								return []
				if num == 3:
								return [2]

				# Odd sieve for numbers in range [3, num - 1]
				snake_case_			    =						bytearray(b'''\x01'''				) * ((num >> 1) - 1)

				for i in range(3				,       int(sqrt(_UpperCAmelCase				)				) + 1				,       2				):
								if sieve[(i >> 1) - 1]:
												snake_case_			    =						i**2
												snake_case_			    =						repeat(
												    0				,       ceil((num - i_squared) / (i << 1)				)				)

				return [2] + list(compress(range(3				,       _UpperCAmelCase				,       2				)				,       _UpperCAmelCase				)				)


if __name__ == "__main__":
	import doctest

	doctest.testmod()







import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


lowerCAmelCase_												=       logging.get_logger(__name__)



class       __lowerCAmelCase (    _a  ):






			def __init__(self      ,							*__magic_name__      ,							**__magic_name__					)  ->     None:


							'''simple docstring'''



							warnings.warn(
							    '''The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
							    ''' Please use MobileNetV2ImageProcessor instead.'''      ,							__magic_name__      ,							)
							super().__init__(*__magic_name__      ,							**__magic_name__					)
