

"""simple docstring"""




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

def 		A    (       snake_case__						,			snake_case__      ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__									= image.shape
			SCREAMING_SNAKE_CASE__									= cols - block_size[1] + 1
			SCREAMING_SNAKE_CASE__									= rows - block_size[0] + 1
			SCREAMING_SNAKE_CASE__									= zeros((dst_height * dst_width, block_size[1] * block_size[0])      )
			SCREAMING_SNAKE_CASE__									= 0
			for i in range(0						,			snake_case__      ):
						for j in range(0						,			snake_case__      ):
									SCREAMING_SNAKE_CASE__									= ravel(image[i : i + block_size[0], j : j + block_size[1]]      )
									SCREAMING_SNAKE_CASE__									= window
									row += 1

			return image_array

def 		A    (       snake_case__						,			snake_case__      ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__									= image.shape[0], image.shape[1]
			SCREAMING_SNAKE_CASE__									= filter_kernel.shape[0]
			SCREAMING_SNAKE_CASE__									= k_size // 2
			# Pads image with the edge values of array.
			SCREAMING_SNAKE_CASE__									= pad(snake_case__						,			snake_case__						,			mode="""edge"""      )

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

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


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





"""simple docstring"""




def 		A    (       snake_case__						,			snake_case__      ):




			'''simple docstring'''


			return a + b


if __name__ == "__main__":
						A_							:     List[str]     =	5
						A_							:     Optional[int]     =	6
						print(F'The sum of {a} + {b} is {add(a, b)}')


