



from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like




def       UpperCAmelCase__	(							__snake_case  ,			__snake_case=3							)				->	Optional[Any]:
  _A          =      int(mask / 2							)
  # copy image size
  _A          =      zeros_like(__snake_case							)
  for i in range(__snake_case  ,			gray_img.shape[0] - bd							):
    for j in range(__snake_case  ,			gray_img.shape[1] - bd							):
      # get mask according with mask
      _A          =      ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]							)
      # calculate mask median
      _A          =      sort(__snake_case							)[inta(divide((multiply(__snake_case  ,			__snake_case							))  ,			2							) + 1							)]
      _A          =      median
  return median_img


if __name__ == "__main__":
    # read original image
    __lowerCamelCase								=   imread("""../image_data/lena.jpg""")
    # turn image in gray scale value
    __lowerCamelCase								=   cvtColor(img, COLOR_BGR2GRAY)

    # get values with two different mask size
    __lowerCamelCase								=   median_filter(gray, 3)
    __lowerCamelCase								=   median_filter(gray, 5)

    # show result images
    imshow("""median filter with 3x3 mask""", medianaxa)
    imshow("""median filter with 5x5 mask""", medianaxa)
    waitKey(0)




from __future__ import annotations




def       UpperCAmelCase__	(							__snake_case  ,			__snake_case  ,			__snake_case  ,			__snake_case							)				->	int:

  # Base Case
  if counter == 0 or capacity == 0:
    return 0

  # If weight of the nth item is more than Knapsack of capacity,
  #   then this item cannot be included in the optimal solution,
  # else return the maximum of two cases:
  #   (1) nth item included
  #   (2) not included
  if weights[counter - 1] > capacity:
    return knapsack(__snake_case  ,			__snake_case  ,			__snake_case  ,			counter - 1							)
  else:
    _A          =      capacity - weights[counter - 1]
    _A          =      values[counter - 1] + knapsack(
        __snake_case  ,			__snake_case  ,			__snake_case  ,			counter - 1							)
    _A          =      knapsack(__snake_case  ,			__snake_case  ,			__snake_case  ,			counter - 1							)
    return max(__snake_case  ,			__snake_case							)


if __name__ == "__main__":
    import doctest

    doctest.testmod()