




from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase		,					__UpperCamelCase)			->     Dict:
     a  ,      a      =      image.shape
     a      =      cols - block_size[1] + 1
     a      =      rows - block_size[0] + 1
     a      =      zeros((dst_height * dst_width, block_size[1] * block_size[0]))
     a      =      0
     for i in range(0		,					__UpperCamelCase):
          for j in range(0		,					__UpperCamelCase):
               a      =      ravel(image[i : i + block_size[0], j : j + block_size[1]])
               a      =      window
               row += 1

     return image_array

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase		,					__UpperCamelCase)			->     List[str]:
     a  ,      a      =      image.shape[0], image.shape[1]
     a      =      filter_kernel.shape[0]
     a      =      k_size // 2
     # Pads image with the edge values of array.
     a      =      pad(__UpperCamelCase		,					__UpperCamelCase		,					mode="edge")

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

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


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







import doctest

import projectq
from projectq.ops import H, Measure

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase)			->     int:
     a      =      quantum_engine.allocate_qubit()
     H | qubit
     Measure | qubit
     return int(__UpperCamelCase)


if __name__ == "__main__":
   doctest.testmod()

   # initialises a new quantum backend
   lowercase__      :			Optional[int]           =					projectq.MainEngine()

   # Generate a list of 10 random numbers
   lowercase__      :			List[str]           =					[get_random_number(quantum_engine) for _ in range(10)]

   # Flushes the quantum engine from memory
   quantum_engine.flush()

   print("Random numbers", random_numbers_list)

