

def 			__snake_case	(   __UpperCamelCase  :   int = 10**6						):



      """simple docstring"""

      if n <= 0:
            raise ValueError("Please enter an integer greater than 0"						)

      A_	     =							list(range(n + 1						)						)
      for number in range(2							,n + 1						):
            if phi[number] == number:
                  phi[number] -= 1
                  for multiple in range(number * 2							,n + 1							,__UpperCamelCase						):
                        A_	     =							(phi[multiple] // number) * (number - 1)

      A_	     =							1
      for number in range(1							,n + 1						):
            if (answer / phi[answer]) < (number / phi[number]):
                  A_	     =							number

      return answer


if __name__ == "__main__":
      print(solution())


import warnings

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


__a						:Optional[int]            = logging.get_logger(__name__)

class      _a				( snake_case_							):




      """simple docstring"""

      def __init__(      self       :							List[Any]	, *UpperCAmelCase       :							Any	, **UpperCAmelCase       :							int  ):
            warnings.warn(
                "The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
                " Please use MobileNetV2ImageProcessor instead."	, UpperCAmelCase	, )
            super().__init__(*UpperCAmelCase	, **UpperCAmelCase  )