



"""simple docstring"""

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros
def    __snake_case       (  __A			:	Optional[Any]       ,		__A			:	Optional[int]    )    ->					Dict:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    image.shape
				SCREAMING_SNAKE_CASE	:       Dict 							=    cols - block_size[1] + 1
				SCREAMING_SNAKE_CASE	:       str 							=    rows - block_size[0] + 1
				SCREAMING_SNAKE_CASE	:       List[str] 							=    zeros((dst_height * dst_width, block_size[1] * block_size[0])    )
				SCREAMING_SNAKE_CASE	:       List[Any] 							=    0
				for i in range(0       ,		__A    ):
								for j in range(0       ,		__A    ):
												SCREAMING_SNAKE_CASE	:       List[str] 							=    ravel(image[i : i + block_size[0], j : j + block_size[1]]    )
												SCREAMING_SNAKE_CASE	:       Optional[int] 							=    window
												row += 1

				return image_array
def    __snake_case       (  __A			:	Union[str, Any]       ,		__A			:	Dict    )    ->					str:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE	:       str 							=    image.shape[0], image.shape[1]
				SCREAMING_SNAKE_CASE	:       Optional[int] 							=    filter_kernel.shape[0]
				SCREAMING_SNAKE_CASE	:       Optional[int] 							=    k_size // 2
				# Pads image with the edge values of array.
				SCREAMING_SNAKE_CASE	:       str 							=    pad(__A       ,		__A       ,		mode='edge'    )

				# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
				SCREAMING_SNAKE_CASE	:       Optional[int] 							=    imacol(__A       ,		(k_size, k_size)    )

				#  turn the kernel into shape(k*k, 1)
				SCREAMING_SNAKE_CASE	:       Dict 							=    ravel(__A    )
				# reshape and get the dst image
				SCREAMING_SNAKE_CASE	:       Optional[int] 							=    dot(__A       ,		__A    ).reshape(__A       ,		__A    )
				return dst


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






"""simple docstring"""

def    __snake_case       (  __A			:	int    )    ->					int:






				'''simple docstring'''
				if not isinstance(__A       ,		__A    ):
								raise ValueError('double_factorial() only accepts integral values'    )
				if num < 0:
								raise ValueError('double_factorial() not defined for negative values'    )
				SCREAMING_SNAKE_CASE	:       List[str] 							=    1
				for i in range(__A       ,		0       ,		-2    ):
								value *= i
				return value


if __name__ == "__main__":
							import doctest

							doctest.testmod()





