

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





def      snake_case_				(__A					:						int ,       __A					:						str ,       __A					:						Tuple					)      ->     str:
   __lowerCAmelCase   ,__lowerCAmelCase  :      Any    =						image.shape[0], image.shape[1]
   # dst image height and width
   __lowerCAmelCase  :      int    =						height - k_size + 1
   __lowerCAmelCase  :      Tuple    =						width - k_size + 1

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

   #  turn the kernel into shape(k*k, 1)
   __lowerCAmelCase  :      List[Any]    =						gen_gaussian_kernel(__A ,       __A					)
   __lowerCAmelCase  :      Optional[int]    =						ravel(__A					)

   # reshape and get the dst image
   __lowerCAmelCase  :      Dict    =						dot(__A ,       __A					).reshape(__A ,       __A					).astype(__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)

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





from __future__ import annotations





def      snake_case_				(__A					:						list[float] ,       __A					:						list[float]					)      ->     float:
   __lowerCAmelCase  :      Union[str, Any]    =						sorted(numsa + numsa					)
   __lowerCAmelCase   ,__lowerCAmelCase  :      Optional[int]    =						divmod(len(__A					) ,       2					)
   if mod == 1:
      return all_numbers[div]
   else:
      return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   __UpperCAmelCase								=			[float(x) for x in input("""Enter the elements of first array: """).split()]
   __UpperCAmelCase								=			[float(x) for x in input("""Enter the elements of second array: """).split()]
   print(F'The median of two arrays is: {median_of_two_arrays(array_a, array_a)}')


