

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 			UpperCAmelCase__				(			_A      : List[Any]	,      _A      : int							):





  '''simple docstring'''







  a__  =k_size // 2
  a__  =mgrid[0 - center : k_size - center, 0 - center : k_size - center]
  a__  =1 / (2 * pi * sigma) * exp(-(square(_lowerCamelCase							) + square(_lowerCamelCase							)) / (2 * square(_lowerCamelCase							))							)
  return g




def 			UpperCAmelCase__				(			_A      : Tuple	,      _A      : str	,      _A      : Any							):





  '''simple docstring'''







  a__  =image.shape[0], image.shape[1]
  # dst image height and width
  a__  =height - k_size + 1
  a__  =width - k_size + 1

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

  #  turn the kernel into shape(k*k, 1)
  a__  =gen_gaussian_kernel(_lowerCamelCase	,      _lowerCamelCase							)
  a__  =ravel(_lowerCamelCase							)

  # reshape and get the dst image
  a__  =dot(_lowerCamelCase	,      _lowerCamelCase							).reshape(_lowerCamelCase	,      _lowerCamelCase							).astype(_lowerCamelCase							)

  return dst


if __name__ == "__main__":
       # read original image
       lowerCamelCase           =					imread(r'''../image_data/lena.jpg''')
       # turn image in gray scale value
       lowerCamelCase           =					cvtColor(img, COLOR_BGR2GRAY)

       # get values with two different mask size
       lowerCamelCase           =					gaussian_filter(gray, 3, sigma=1)
       lowerCamelCase           =					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'''




from __future__ import annotations


def 				lowerCAmelCase_   (	_lowerCamelCase:   list[int]					):
		if not nums:
				return 0
		__SCREAMING_SNAKE_CASE       :		Optional[int]           =		nums[0]
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		0
		for num in nums[1:]:
				__SCREAMING_SNAKE_CASE       ,						__SCREAMING_SNAKE_CASE       :		Any           =		(
				    max_excluding + num,
				    max(_lowerCamelCase       ,      _lowerCamelCase					),
				)
		return max(_lowerCamelCase       ,      _lowerCamelCase					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()