




'''simple docstring'''

import math
import sys

import cva
import numpy as np



def 							UpperCamelCase__			(			a__			,      a__      ):


						'''simple docstring'''






						_lowerCAmelCase										=math.sqrt(a__      )
						_lowerCAmelCase										=1 / (sigma * math.sqrt(2 * math.pi      ))
						return cons * np.exp(-((img / sigma) ** 2) * 0.5      )



def 							UpperCamelCase__			(			a__			,      a__			,      a__			,      a__      ):


						'''simple docstring'''






						_lowerCAmelCase										=kernel_size // 2
						return img[x - half : x + half + 1, y - half : y + half + 1]



def 							UpperCamelCase__			(			a__			,      a__      ):


						'''simple docstring'''






						_lowerCAmelCase										=np.zeros((kernel_size, kernel_size)      )
						for i in range(0			,      a__      ):
												for j in range(0			,      a__      ):
																		_lowerCAmelCase										=math.sqrt(
																		    abs(i - kernel_size // 2      ) ** 2 + abs(j - kernel_size // 2      ) ** 2      )
						return vec_gaussian(a__			,      a__      )



def 							UpperCamelCase__			(			a__			,      a__			,      a__			,      a__			,      ):


						'''simple docstring'''






						_lowerCAmelCase										=np.zeros(img.shape      )
						_lowerCAmelCase										=get_gauss_kernel(a__			,      a__      )
						_lowerCAmelCase						,				_lowerCAmelCase										=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      ):
																		_lowerCAmelCase										=get_slice(a__			,      a__			,      a__			,      a__      )
																		_lowerCAmelCase										=img_s - img_s[kernel_size // 2, kernel_size // 2]
																		_lowerCAmelCase										=vec_gaussian(a__			,      a__      )
																		_lowerCAmelCase										=np.multiply(a__			,      a__      )
																		_lowerCAmelCase										=np.multiply(a__			,      a__      )
																		_lowerCAmelCase										=np.sum(a__      ) / np.sum(a__      )
																		_lowerCAmelCase										=val
						return imga



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






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


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

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






'''simple docstring'''

def 							UpperCamelCase__			(			a__ = 1_0_0_0      ):


						'''simple docstring'''






						_lowerCAmelCase										=2**power
						_lowerCAmelCase										=0
						while n:
												_lowerCAmelCase						,				_lowerCAmelCase										=r + n % 1_0, n // 1_0
						return r


if __name__ == "__main__":
							print(solution(int(str(input()).strip())))





