




'''simple docstring'''

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




def    snake_case__     (  a       ,      a	)			->       Optional[Any]:





			'''simple docstring'''






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

			return image_array




def    snake_case__     (  a       ,      a	)			->       Any:





			'''simple docstring'''






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

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

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


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





'''simple docstring'''

import unittest
import warnings

from datasets.utils import experimental




@experimental
def    snake_case__     (  )			->       Union[str, Any]:





			'''simple docstring'''






			return "success"





class __magic_name__(						unittest.TestCase      ):






						def       __lowerCAmelCase(   self						:						List[Any]       ):



									'''simple docstring'''






									with warnings.catch_warnings(record=__UpperCamelCase       ) as w:
												warnings.simplefilter("""always"""       )
												self.assertEqual(dummy_function()					,   """success"""       )
									self.assertEqual(len(__UpperCamelCase       )					,   1       )