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





def 							_lowerCamelCase			(					lowerCamelCase_:  int				,	lowerCamelCase_:  Optional[int]		):



				'''simple docstring'''







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

				return image_array





def 							_lowerCamelCase			(					lowerCamelCase_:  Tuple				,	lowerCamelCase_:  Any		):



				'''simple docstring'''







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

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

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

def 							_lowerCamelCase			(					lowerCamelCase_:  list		):



				'''simple docstring'''







				A     :  Optional[int]   =				1.3
				A     :  List[str]   =				len(lowerCamelCase_		)
				A     :  Optional[Any]   =				False

				while not completed:
								# Update the gap value for a next comb
								A     :  str   =				int(gap / shrink_factor		)
								if gap <= 1:
												A     :  Tuple   =				True

								A     :  List[Any]   =				0
								while index + gap < len(lowerCamelCase_		):
												if data[index] > data[index + gap]:
																# Swap values
																A ,       A     :  int   =				data[index + gap], data[index]
																A     :  Dict   =				False
												index += 1

				return data


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					UpperCamelCase_  =	input("Enter numbers separated by a comma:\n").strip()
					UpperCamelCase_  =	[int(item) for item in user_input.split(",")]
					print(comb_sort(unsorted))