

import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


UpperCamelCase_							=					logging.get_logger(__name__)





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):







				def __init__(					self    :		Optional[int]		,				*UpperCAmelCase__    :		Union[str, Any]		,				**UpperCAmelCase__    :		Union[str, Any]      ):
										'''simple docstring'''
										warnings.warn(
										    '''The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
										    ''' Please use ImageGPTImageProcessor instead.'''		,				UpperCAmelCase__		,				)
										super().__init__(*UpperCAmelCase__		,				**UpperCAmelCase__      )








'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    int = 1000000	)							->     int:
						lowercase   :       Dict								=set(range(3      ,   __magic_name__      ,   2	)	)
						primes.add(2	)
						for p in range(3      ,   __magic_name__      ,   2	):
												if p not in primes:
																		continue
												primes.difference_update(set(range(p * p      ,   __magic_name__      ,   __magic_name__	)	)	)

						lowercase   :       List[Any]								=[float(__magic_name__	) for n in range(limit + 1	)]

						for p in primes:
												for n in range(__magic_name__      ,   limit + 1      ,   __magic_name__	):
																		phi[n] *= 1 - 1 / p

						return int(sum(phi[2:]	)	)


if __name__ == "__main__":
							print(f'''{solution() = }''')





