


'''simple docstring'''







import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey






def 				lowerCAmelCase__	(    lowerCamelCase					:      int  ,lowerCamelCase					:      int  ,lowerCamelCase					:      int  ,lowerCamelCase					:      int  ,lowerCamelCase					:      int  ,lowerCamelCase					:      int       ):

       # prepare kernel
       # the kernel size have to be odd
       if (ksize % 2) == 0:
              _A					:     Tuple     = ksize + 1
       _A					:     List[str]     = np.zeros((ksize, ksize)  ,dtype=np.floataa       )

       # each value
       for y in range(lowerCamelCase       ):
              for x in range(lowerCamelCase       ):
                     # distance from center
                     _A					:     str     = x - ksize // 2
                     _A					:     Dict     = y - ksize // 2

                     # degree to radiant
                     _A					:     int     = theta / 180 * np.pi
                     _A					:     Dict     = np.cos(_theta       )
                     _A					:     str     = np.sin(_theta       )

                     # get kernel x
                     _A					:     int     = cos_theta * px + sin_theta * py

                     # get kernel y
                     _A					:     int     = -sin_theta * px + cos_theta * py

                     # fill kernel
                     _A					:     Dict     = np.exp(
                         -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)       ) * np.cos(2 * np.pi * _x / lambd + psi       )

       return gabor


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   # read original image
   A				:					Any    						=			imread('''../image_data/lena.jpg''')
   # turn image in gray scale value
   A				:					Optional[int]    						=			cvtColor(img, COLOR_BGR2GRAY)

   # Apply multiple Kernel to detect edges
   A				:					str    						=			np.zeros(gray.shape[:2])
   for theta in [0, 30, 60, 90, 120, 150]:
      A				:					Optional[Any]    						=			gabor_filter_kernel(10, 8, theta, 10, 0, 0)
      out += filteraD(gray, CV_8UC3, kernel_aa)
   A				:					List[str]    						=			out / out.max() * 255
   A				:					Union[str, Any]    						=			out.astype(np.uinta)

   imshow('''Original''', gray)
   imshow('''Gabor filter with 20x20 mask and 6 directions''', out)

   waitKey(0)










'''simple docstring'''







def 				lowerCAmelCase__	(    lowerCamelCase					:      int = 10       ):
       if not isinstance(lowerCamelCase  ,lowerCamelCase       ) or n < 0:
              raise ValueError('Invalid input'       )
       _A					:     Optional[Any]     = 10**n
       _A					:     List[str]     = 28433 * (pow(2  ,7830457  ,lowerCamelCase       )) + 1
       return str(number % modulus       )


if __name__ == "__main__":
   from doctest import testmod

   testmod()
   print(f"""{solution(10) = }""")






