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





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

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

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

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

     return dst


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

       # get values with two different mask size
       __lowercase		:		Dict														=							gaussian_filter(gray, 3, sigma=1)
       __lowercase		:		List[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()
"""simple docstring"""



import re





def    SCREAMING_SNAKE_CASE       (     snake_case):
     return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''',      str_)]





def    SCREAMING_SNAKE_CASE       (     snake_case):
     __snake_case				=							split_input(str_)
     return "".join(
         [''''''.join([char.capitalize() for char in sub_str]) for sub_str in string_split])





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case):
     try:
          __snake_case				=							split_input(snake_case)
          if upper:
               __snake_case				=							''''''.join(
                   [
                       separator.join([char.upper() for char in sub_str])
                       for sub_str in string_split
                   ])
          else:
               __snake_case				=							''''''.join(
                   [
                       separator.join([char.lower() for char in sub_str])
                       for sub_str in string_split
                   ])
          return res_str
     except IndexError:
          return "not valid string"





def    SCREAMING_SNAKE_CASE       (     snake_case):
     return to_simple_case(snake_case)





def    SCREAMING_SNAKE_CASE       (     snake_case):
     try:
          __snake_case				=							to_simple_case(snake_case)
          return res_str[0].lower() + res_str[1:]
     except IndexError:
          return "not valid string"





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     return to_complex_case(snake_case,      snake_case,      '''_''')





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     return to_complex_case(snake_case,      snake_case,      '''-''')


if __name__ == "__main__":
       __import__("doctest").testmod()