





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


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

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

       #  turn the kernel into shape(k*k, 1)
       _UpperCamelCase              =						gen_gaussian_kernel(lowerCAmelCase    ,       lowerCAmelCase					)
       _UpperCamelCase              =						ravel(lowerCAmelCase					)

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

       return dst


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

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













def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase					):
       _UpperCamelCase              =						0
       for ch in input_str:
              _UpperCamelCase              =						ord(lowerCAmelCase					)
              _UpperCamelCase              =						pow(2    ,       lowerCAmelCase					)

              # If we already turned on bit for current character's unicode
              if bitmap >> ch_unicode & 1 == 1:
                     return False
              bitmap |= ch_bit_index_on
       return True


if __name__ == "__main__":
       import doctest

       doctest.testmod()






