




'''simple docstring'''





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


def 					UpperCamelCase						(	snake_case						,  snake_case ):




   '''simple docstring'''

   SCREAMING_SNAKE_CASE__    ,					SCREAMING_SNAKE_CASE__      :					Tuple							    =			image.shape
   SCREAMING_SNAKE_CASE__      :					int							    =			cols - block_size[1] + 1
   SCREAMING_SNAKE_CASE__      :					Tuple							    =			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[str]							    =			0
   for i in range(0						,  snake_case ):
      for j in range(0						,  snake_case ):
         SCREAMING_SNAKE_CASE__      :					str							    =			ravel(image[i : i + block_size[0], j : j + block_size[1]] )
         SCREAMING_SNAKE_CASE__      :					Tuple							    =			window
         row += 1

   return image_array


def 					UpperCamelCase						(	snake_case						,  snake_case ):




   '''simple docstring'''

   SCREAMING_SNAKE_CASE__    ,					SCREAMING_SNAKE_CASE__      :					List[Any]							    =			image.shape[0], image.shape[1]
   SCREAMING_SNAKE_CASE__      :					Union[str, Any]							    =			filter_kernel.shape[0]
   SCREAMING_SNAKE_CASE__      :					List[Any]							    =			k_size // 2
   # Pads image with the edge values of array.
   SCREAMING_SNAKE_CASE__      :					Tuple							    =			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__      :					Dict							    =			imacol(snake_case						,  (k_size, k_size) )

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


if __name__ == "__main__":
       # read original image
       lowercase__								=						imread(r'''../image_data/lena.jpg''')
       # turn image in gray scale value
       lowercase__								=						cvtColor(img, COLOR_BGR2GRAY)
       # Laplace operator
       lowercase__								=						array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
       lowercase__								=						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       )