



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

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

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

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


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









import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


lowercase_	       =			logging.get_logger(__name__)






class 						__a (     SCREAMING_SNAKE_CASE				):



	def __init__(						self							:    Optional[Any]				,	*snake_case_							:    List[str]				,	**snake_case_							:    Union[str, Any])->							None:
						warnings.warn(
						    """The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
						    """ Please use PoolFormerImageProcessor instead."""				,	snake_case_				,	)
						super().__init__(*snake_case_				,	**snake_case_)




