




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






def 					snake_case					(							A						,   A			)							->							int:




	'''simple docstring'''


	lowerCamelCase_   ,			lowerCamelCase_							:		Optional[Any]							   =							image.shape
	lowerCamelCase_							:		Tuple							   =							cols - block_size[1] + 1
	lowerCamelCase_							:		Optional[Any]							   =							rows - block_size[0] + 1
	lowerCamelCase_							:		Optional[Any]							   =							zeros((dst_height * dst_width, block_size[1] * block_size[0])			)
	lowerCamelCase_							:		Tuple							   =							0
	for i in range(0						,   A			):
		for j in range(0						,   A			):
			lowerCamelCase_							:		int							   =							ravel(image[i : i + block_size[0], j : j + block_size[1]]			)
			lowerCamelCase_							:		str							   =							window
			row += 1

	return image_array






def 					snake_case					(							A						,   A			)							->							Tuple:




	'''simple docstring'''


	lowerCamelCase_   ,			lowerCamelCase_							:		int							   =							image.shape[0], image.shape[1]
	lowerCamelCase_							:		Any							   =							filter_kernel.shape[0]
	lowerCamelCase_							:		Tuple							   =							k_size // 2
	# Pads image with the edge values of array.
	lowerCamelCase_							:		List[Any]							   =							pad(A						,   A						,   mode='edge'			)

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

	#  turn the kernel into shape(k*k, 1)
	lowerCamelCase_							:		Dict							   =							ravel(A			)
	# reshape and get the dst image
	lowerCamelCase_							:		int							   =							dot(A						,   A			).reshape(A						,   A			)
	return dst


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








"""simple docstring"""


def 			snake_case  (A_      :int = 1_0_0_0      ):







  '''simple docstring'''

  a     :			Union[str, Any]				=   0
  a     :			int				=   (n - 1) // 3
  total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
  a     :			Tuple				=   (n - 1) // 5
  total += ((terms) * (1_0 + (terms - 1) * 5)) // 2
  a     :			Dict				=   (n - 1) // 1_5
  total -= ((terms) * (3_0 + (terms - 1) * 1_5)) // 2
  return total


if __name__ == "__main__":
   print(f'''{solution() = }''')




