



'''simple docstring'''

from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros







def a_     (    __UpperCAmelCase				,							__UpperCAmelCase					)				->					Any:





			"""simple docstring"""







			snake_case:    Union[str, Any]      							=k_size // 2
			snake_case							,  snake_case:    List[str]      							=mgrid[0 - center : k_size - center, 0 - center : k_size - center]
			snake_case:    Tuple      							=1 / (2 * pi * sigma) * exp(-(square(__UpperCAmelCase					) + square(__UpperCAmelCase					)) / (2 * square(__UpperCAmelCase					))					)
			return g







def a_     (    __UpperCAmelCase				,							__UpperCAmelCase				,							__UpperCAmelCase					)				->					str:





			"""simple docstring"""







			snake_case							,  snake_case:    int      							=image.shape[0], image.shape[1]
			# dst image height and width
			snake_case:    Optional[Any]      							=height - k_size + 1
			snake_case:    Dict      							=width - k_size + 1

			# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
			snake_case:    List[Any]      							=zeros((dst_height * dst_width, k_size * k_size)					)
			snake_case:    Union[str, Any]      							=0
			for i, j in product(range(__UpperCAmelCase					)				,							range(__UpperCAmelCase					)					):
						snake_case:    str      							=ravel(image[i : i + k_size, j : j + k_size]					)
						snake_case:    List[Any]      							=window
						row += 1

			#  turn the kernel into shape(k*k, 1)
			snake_case:    Dict      							=gen_gaussian_kernel(__UpperCAmelCase				,							__UpperCAmelCase					)
			snake_case:    List[str]      							=ravel(__UpperCAmelCase					)

			# reshape and get the dst image
			snake_case:    Optional[Any]      							=dot(__UpperCAmelCase				,							__UpperCAmelCase					).reshape(__UpperCAmelCase				,							__UpperCAmelCase					).astype(__UpperCAmelCase					)

			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)

	# get values with two different mask size
	a							   =				gaussian_filter(gray, 3, sigma=1)
	a							   =				gaussian_filter(gray, 5, sigma=0.8)

	# show result images
	imshow('gaussian filter with 3x3 mask', gaussianaxa)
	imshow('gaussian filter with 5x5 mask', gaussianaxa)
	waitKey()









'''simple docstring'''

import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
a							   =				'.'


if __name__ == "__main__":
	a							   =				os.path.join(REPO_PATH, 'utils/documentation_tests.txt')
	a							   =				[]
	a							   =				[]
	with open(doctest_file_path) as fp:
		for line in fp:
			a							   =				line.strip()
			a							   =				os.path.join(REPO_PATH, line)
			if not (os.path.isfile(path) or os.path.isdir(path)):
				non_existent_paths.append(line)
			all_paths.append(path)
	if len(non_existent_paths) > 0:
		a							   =				'\n'.join(non_existent_paths)
		raise ValueError(F"""`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}""")
	if all_paths != sorted(all_paths):
		raise ValueError('Files in `utils/documentation_tests.txt` are not in alphabetical order.')




