






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







def       lowercase__	(					A_:						int  ,      A_:						int  ,      A_:						int  ,      A_:						int  ,      A_:						int  ,      A_:						int		)	->				np.ndarray:







       """simple docstring"""






       if (ksize % 2) == 0:
              __UpperCAmelCase     				=ksize + 1
       __UpperCAmelCase     				=np.zeros((ksize, ksize)  ,      dtype=np.floataa		)

       # each value
       for y in range(A_		):
              for x in range(A_		):
                     # distance from center
                     __UpperCAmelCase     				=x - ksize // 2
                     __UpperCAmelCase     				=y - ksize // 2

                     # degree to radiant
                     __UpperCAmelCase     				=theta / 180 * np.pi
                     __UpperCAmelCase     				=np.cos(_theta		)
                     __UpperCAmelCase     				=np.sin(_theta		)

                     # get kernel x
                     __UpperCAmelCase     				=cos_theta * px + sin_theta * py

                     # get kernel y
                     __UpperCAmelCase     				=-sin_theta * px + cos_theta * py

                     # fill kernel
                     __UpperCAmelCase     				=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					=	imread("../image_data/lena.jpg")
   # turn image in gray scale value
   __A					=	cvtColor(img, COLOR_BGR2GRAY)

   # Apply multiple Kernel to detect edges
   __A					=	np.zeros(gray.shape[:2])
   for theta in [0, 30, 60, 90, 1_20, 1_50]:
      __A					=	gabor_filter_kernel(10, 8, theta, 10, 0, 0)
      out += filteraD(gray, CV_8UC3, kernel_aa)
   __A					=	out / out.max() * 2_55
   __A					=	out.astype(np.uinta)

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

   waitKey(0)







'''simple docstring'''




def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : int = 1000    ):
  UpperCAmelCase    				=						-1
  UpperCAmelCase    				=						0
  for a in range(1							, n // 3    ):
    # Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
    UpperCAmelCase    				=						(n * n - 2 * a * n) // (2 * n - 2 * a)
    UpperCAmelCase    				=						n - a - b
    if c * c == (a * a + b * b):
      UpperCAmelCase    				=						a * b * c
      if candidate >= product:
        UpperCAmelCase    				=						candidate
  return product


if __name__ == "__main__":
  print(F'''{solution() = }''')


