



import math
import sys

import cva
import numpy as np





def 							A			(  _UpperCAmelCase       :     np.ndarray							,     _UpperCAmelCase       :     float					)       ->				np.ndarray:







			'''simple docstring'''
			# For applying gaussian function for each element in matrix.
			_UpperCAmelCase	 =     math.sqrt(_UpperCAmelCase					)
			_UpperCAmelCase	 =     1 / (sigma * math.sqrt(2 * math.pi					))
			return cons * np.exp(-((img / sigma) ** 2) * 0.5					)





def 							A			(  _UpperCAmelCase       :     np.ndarray							,     _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     int					)       ->				np.ndarray:







			'''simple docstring'''
			_UpperCAmelCase	 =     kernel_size // 2
			return img[x - half : x + half + 1, y - half : y + half + 1]





def 							A			(  _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     float					)       ->				np.ndarray:







			'''simple docstring'''
			# Creates a gaussian kernel of given dimension.
			_UpperCAmelCase	 =     np.zeros((kernel_size, kernel_size)					)
			for i in range(0							,     _UpperCAmelCase					):
						for j in range(0							,     _UpperCAmelCase					):
									_UpperCAmelCase	 =     math.sqrt(
									    abs(i - kernel_size // 2					) ** 2 + abs(j - kernel_size // 2					) ** 2					)
			return vec_gaussian(_UpperCAmelCase							,     _UpperCAmelCase					)





def 							A			(  _UpperCAmelCase       :     np.ndarray							,     _UpperCAmelCase       :     float							,     _UpperCAmelCase       :     float							,     _UpperCAmelCase       :     int							,     )       ->				np.ndarray:







			'''simple docstring'''
			_UpperCAmelCase	 =     np.zeros(img.shape					)
			_UpperCAmelCase	 =     get_gauss_kernel(_UpperCAmelCase							,     _UpperCAmelCase					)
			_UpperCAmelCase ,  _UpperCAmelCase	 =     img.shape
			for i in range(kernel_size // 2							,     size_x - kernel_size // 2					):
						for j in range(kernel_size // 2							,     size_y - kernel_size // 2					):
									_UpperCAmelCase	 =     get_slice(_UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase					)
									_UpperCAmelCase	 =     img_s - img_s[kernel_size // 2, kernel_size // 2]
									_UpperCAmelCase	 =     vec_gaussian(_UpperCAmelCase							,     _UpperCAmelCase					)
									_UpperCAmelCase	 =     np.multiply(_UpperCAmelCase							,     _UpperCAmelCase					)
									_UpperCAmelCase	 =     np.multiply(_UpperCAmelCase							,     _UpperCAmelCase					)
									_UpperCAmelCase	 =     np.sum(_UpperCAmelCase					) / np.sum(_UpperCAmelCase					)
									_UpperCAmelCase	 =     val
			return imga





def 							A			(  _UpperCAmelCase       :     list					)       ->				tuple:







			'''simple docstring'''
			_UpperCAmelCase	 =     args[1] if args[1:] else '../image_data/lena.jpg'
			_UpperCAmelCase	 =     float(args[2]					) if args[2:] else 1.0
			_UpperCAmelCase	 =     float(args[3]					) if args[3:] else 1.0
			if args[4:]:
						_UpperCAmelCase	 =     int(args[4]					)
						_UpperCAmelCase	 =     kernel_size + abs(kernel_size % 2 - 1					)
			else:
						_UpperCAmelCase	 =     5
			return filename, spatial_variance, intensity_variance, kernel_size


if __name__ == "__main__":
							UpperCAmelCase__     ,						UpperCAmelCase__     ,						UpperCAmelCase__     ,						UpperCAmelCase__     = parse_args(sys.argv)
							UpperCAmelCase__     = cva.imread(filename, 0)
							cva.imshow("input image", img)

							UpperCAmelCase__     = img / 255
							UpperCAmelCase__     = out.astype("float32")
							UpperCAmelCase__     = bilateral_filter(out, spatial_variance, intensity_variance, kernel_size)
							UpperCAmelCase__     = out * 255
							UpperCAmelCase__     = np.uinta(out)
							cva.imshow("output image", out)
							cva.waitKey(0)
							cva.destroyAllWindows()





def 							A			(  _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     int					)       ->				int:







			'''simple docstring'''
			while second != 0:
						_UpperCAmelCase	 =     first & second
						first ^= second
						_UpperCAmelCase	 =     c << 1
			return first


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							UpperCAmelCase__     = int(input("Enter the first number: ").strip())
							UpperCAmelCase__     = int(input("Enter the second number: ").strip())
							print(f"""{add(first, second) = }""")
