


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






def 							__lowercase       (			__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__					=					ksize + 1
							a__					=					np.zeros((ksize, ksize) ,   dtype=np.floataa       )

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

																					# degree to radiant
																					a__					=					theta / 1_8_0 * np.pi
																					a__					=					np.cos(_theta       )
																					a__					=					np.sin(_theta       )

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

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

																					# fill kernel
																					a__					=					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
						snake_case							:	Tuple					      =				imread('''../image_data/lena.jpg''')
						# turn image in gray scale value
						snake_case							:	Optional[Any]					      =				cvtColor(img, COLOR_BGR2GRAY)

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

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

						waitKey(0)








from __future__ import annotations






def 							__lowercase       (			__lowerCAmelCase							:    float ,   __lowerCAmelCase							:    float ,   __lowerCAmelCase							:    float       ):
							if (voltage, current, resistance).count(0       ) != 1:
														raise ValueError('One and only one argument must be 0'       )
							if resistance < 0:
														raise ValueError('Resistance cannot be negative'       )
							if voltage == 0:
														return {"voltage": float(current * resistance       )}
							elif current == 0:
														return {"current": voltage / resistance}
							elif resistance == 0:
														return {"resistance": voltage / current}
							else:
														raise ValueError('Exactly one argument must be 0'       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()




