






'''simple docstring'''







from __future__ import annotations


def 						_UpperCamelCase							(     snake_case__							):
      __A		   =      [0] * max_one

      for i in range(0							,			snake_case__							):
            __A		   =      i

      for i in range(2							,			snake_case__							):
            if totients[i] == i:
                  for j in range(snake_case__							,			snake_case__							,			snake_case__							):
                        totients[j] -= totients[j] // i

      return totients


def 						_UpperCamelCase							(     snake_case__							,			snake_case__							):
      return sorted(str(snake_case__							)							) == sorted(str(snake_case__							)							)


def 						_UpperCamelCase							(     snake_case__ = 10_000_000							):
      __A		   =      1  # i
      __A		   =      0  # φ(i)
      __A		   =      get_totients(max_n + 1							)

      for i in range(2							,			max_n + 1							):
            __A		   =      totients[i]

            if i * min_denominator < min_numerator * t and has_same_digits(snake_case__							,			snake_case__							):
                  __A		   =      i
                  __A		   =      t

      return min_numerator


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










'''simple docstring'''







from cva import destroyAllWindows, imread, imshow, waitKey


def 						_UpperCamelCase							(     snake_case__							,			snake_case__							):
      __A   ,				__A		   =      img.shape[0], img.shape[1]

      def to_grayscale(snake_case__							,			snake_case__							,			snake_case__							):
            return 0.2126 * red + 0.587 * green + 0.114 * blue

      def normalize(snake_case__							):
            return min(snake_case__							,			255							)

      for i in range(snake_case__							):
            for j in range(snake_case__							):
                  __A		   =      int(to_grayscale(*img[i][j]							)							)
                  __A		   =      [
                      normalize(snake_case__							),
                      normalize(greyscale + factor							),
                      normalize(greyscale + 2 * factor							),
                  ]

      return img


if __name__ == "__main__":
       # read original image
       __A      :       Dict      =	{
           percentage: imread('image_data/lena.jpg', 1) for percentage in (1_0, 2_0, 3_0, 4_0)
       }

       for percentage, img in images.items():
              make_sepia(img, percentage)

       for percentage, img in images.items():
              imshow(F"""Original image with sepia (factor: {percentage})""", img)

       waitKey(0)
       destroyAllWindows()


