

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__					(			__A  :						List[Any]     ,				__A  :						int			)					->Dict:
      __A    =k_size // 2
      __A    ,		__A    =mgrid[0 - center : k_size - center, 0 - center : k_size - center]
      __A    =1 / (2 * pi * sigma) * exp(-(square(__A			) + square(__A			)) / (2 * square(__A			))			)
      return g





def      A__					(			__A  :						Union[str, Any]     ,				__A  :						List[Any]     ,				__A  :						Tuple			)					->Tuple:
      __A    ,		__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(__A			)     ,				range(__A			)			):
            __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(__A     ,				__A			)
      __A    =ravel(__A			)

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

      return dst


if __name__ == "__main__":
   # read original image
   _lowerCamelCase      :					Tuple					    =      imread(R'''../image_data/lena.jpg''')
   # turn image in gray scale value
   _lowerCamelCase      :					List[Any]					    =      cvtColor(img, COLOR_BGR2GRAY)

   # get values with two different mask size
   _lowerCamelCase      :					Optional[Any]					    =      gaussian_filter(gray, 3, sigma=1)
   _lowerCamelCase      :					List[str]					    =      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'''


def 						lowerCamelCase__   (				a							):
						assert (
						    isinstance(a    ,	a							) and number_of_steps > 0
						), f'number_of_steps needs to be positive integer, your input {number_of_steps}'
						if number_of_steps == 1:
												return 1
						__snake_case ,       __snake_case						 =   1, 1
						for _ in range(number_of_steps - 1							):
												__snake_case ,       __snake_case						 =   current + previous, current
						return current


if __name__ == "__main__":
	import doctest

	doctest.testmod()

