



from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros
def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						str  ,					_SCREAMING_SNAKE_CASE :						int					)->List[Any]:
      _lowerCAmelCase      , _lowerCAmelCase			      =	image.shape
      _lowerCAmelCase			      =	cols - block_size[1] + 1
      _lowerCAmelCase			      =	rows - block_size[0] + 1
      _lowerCAmelCase			      =	zeros((dst_height * dst_width, block_size[1] * block_size[0])					)
      _lowerCAmelCase			      =	0
      for i in range(0  ,					_SCREAMING_SNAKE_CASE					):
            for j in range(0  ,					_SCREAMING_SNAKE_CASE					):
                  _lowerCAmelCase			      =	ravel(image[i : i + block_size[0], j : j + block_size[1]]					)
                  _lowerCAmelCase			      =	window
                  row += 1

      return image_array
def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						Tuple  ,					_SCREAMING_SNAKE_CASE :						Tuple					)->List[str]:
      _lowerCAmelCase      , _lowerCAmelCase			      =	image.shape[0], image.shape[1]
      _lowerCAmelCase			      =	filter_kernel.shape[0]
      _lowerCAmelCase			      =	k_size // 2
      # Pads image with the edge values of array.
      _lowerCAmelCase			      =	pad(_SCREAMING_SNAKE_CASE  ,					_SCREAMING_SNAKE_CASE  ,					mode='''edge'''					)

      # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
      _lowerCAmelCase			      =	imacol(_SCREAMING_SNAKE_CASE  ,					(k_size, k_size)					)

      #  turn the kernel into shape(k*k, 1)
      _lowerCAmelCase			      =	ravel(_SCREAMING_SNAKE_CASE					)
      # reshape and get the dst image
      _lowerCAmelCase			      =	dot(_SCREAMING_SNAKE_CASE  ,					_SCREAMING_SNAKE_CASE					).reshape(_SCREAMING_SNAKE_CASE  ,					_SCREAMING_SNAKE_CASE					)
      return dst


if __name__ == "__main__":
    # read original image
    UpperCAmelCase_          =				imread(R"../image_data/lena.jpg")
    # turn image in gray scale value
    UpperCAmelCase_          =				cvtColor(img, COLOR_BGR2GRAY)
    # Laplace operator
    UpperCAmelCase_          =				array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
    UpperCAmelCase_          =				img_convolve(gray, Laplace_kernel).astype(uinta)
    imshow("Laplacian", out)
    waitKey(0)




from __future__ import annotations

from random import randrange
def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						list					)->list:
      if len(_SCREAMING_SNAKE_CASE					) < 2:
            return collection
      _lowerCAmelCase			      =	randrange(len(_SCREAMING_SNAKE_CASE					)					)  # Use random element as pivot
      _lowerCAmelCase			      =	collection[pivot_index]
      _lowerCAmelCase			      =	[]  # All elements greater than pivot
      _lowerCAmelCase			      =	[]  # All elements less than or equal to pivot

      for element in collection[:pivot_index]:
            (greater if element > pivot else lesser).append(_SCREAMING_SNAKE_CASE					)

      for element in collection[pivot_index + 1 :]:
            (greater if element > pivot else lesser).append(_SCREAMING_SNAKE_CASE					)

      return [*quick_sort(_SCREAMING_SNAKE_CASE					), pivot, *quick_sort(_SCREAMING_SNAKE_CASE					)]


if __name__ == "__main__":
    UpperCAmelCase_          =				input("Enter numbers separated by a comma:\n").strip()
    UpperCAmelCase_          =				[int(item) for item in user_input.split(",")]
    print(quick_sort(unsorted))