"""simple docstring"""




def   UpperCAmelCase					(	UpperCamelCase__ = 1_000_000				):






							"""simple docstring"""





							A__	     =							set(range(3       ,    UpperCamelCase__       ,    2				)				)
							primes.add(2				)
							for p in range(3       ,    UpperCamelCase__       ,    2				):
														if p not in primes:
																					continue
														primes.difference_update(set(range(p * p       ,    UpperCamelCase__       ,    UpperCamelCase__				)				)				)

							A__	     =							[float(UpperCamelCase__				) for n in range(limit + 1				)]

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

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


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






"""simple docstring"""




import warnings

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


__lowerCamelCase											=  logging.get_logger(__name__)
class     UpperCamelCase__(			__A ):





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





