






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





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     __lowerCAmelCase      ,			__lowerCAmelCase             =       image.shape[0], image.shape[1]
     # dst image height and width
     __lowerCAmelCase             =       height - k_size + 1
     __lowerCAmelCase             =       width - k_size + 1

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

     #  turn the kernel into shape(k*k, 1)
     __lowerCAmelCase             =       gen_gaussian_kernel(__snake_case       ,			__snake_case							)
     __lowerCAmelCase             =       ravel(__snake_case							)

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

     return dst


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

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

import os
from typing import Any

import requests

lowerCamelCase      :       Tuple    =						'''https://api.github.com'''

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
lowerCamelCase      :       int    =						BASE_URL + '''/user'''

# https://github.com/settings/tokens
lowerCamelCase      :       Any    =						os.environ.get('''USER_TOKEN''', '''''')





def    __lowerCAmelCase   (    __snake_case							):
     __lowerCAmelCase             =       {
         "Authorization": F"""token {auth_token}""",
         "Accept": "application/vnd.github.v3+json",
     }
     return requests.get(__snake_case       ,			headers=__snake_case							).json()


if __name__ == "__main__":  # pragma: no cover
 if USER_TOKEN:
  for key, value in fetch_github_info(USER_TOKEN).items():
   print(F'''{key}: {value}''')
 else:
  raise ValueError('''\'USER_TOKEN\' field cannot be empty.''')






