


"""simple docstring"""






import math
import sys

import cva
import numpy as np
def 					A_      (      _lowerCAmelCase   :    np.ndarray,   _lowerCAmelCase   :    float				):






     """simple docstring"""

     _a					= math.sqrt(__snake_case				)
     _a					= 1 / (sigma * math.sqrt(2 * math.pi				))
     return cons * np.exp(-((img / sigma) ** 2) * 0.5				)
def 					A_      (      _lowerCAmelCase   :    np.ndarray,   _lowerCAmelCase   :    int,   _lowerCAmelCase   :    int,   _lowerCAmelCase   :    int				):






     """simple docstring"""

     _a					= kernel_size // 2
     return img[x - half : x + half + 1, y - half : y + half + 1]
def 					A_      (      _lowerCAmelCase   :    int,   _lowerCAmelCase   :    float				):






     """simple docstring"""

     _a					= np.zeros((kernel_size, kernel_size)				)
     for i in range(0,   __snake_case				):
          for j in range(0,   __snake_case				):
               _a					= math.sqrt(
                   abs(i - kernel_size // 2				) ** 2 + abs(j - kernel_size // 2				) ** 2				)
     return vec_gaussian(__snake_case,   __snake_case				)
def 					A_      (      _lowerCAmelCase   :    np.ndarray,   _lowerCAmelCase   :    float,   _lowerCAmelCase   :    float,   _lowerCAmelCase   :    int,   ):






     """simple docstring"""

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






     """simple docstring"""

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


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

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







"""simple docstring"""



def 						lowercase    (				__snake_case				: int	):
		if n == 1 or not isinstance(__snake_case		,					__snake_case	):
				return 0
		elif n == 2:
				return 1
		else:
				lowercase_ : Dict							       =   [0, 1]
				for i in range(2		,					n + 1	):
						sequence.append(sequence[i - 1] + sequence[i - 2]	)

				return sequence[n]



def 						lowercase    (				__snake_case				: int	):
		lowercase_ : str							       =   0
		lowercase_ : List[str]							       =   2

		while digits < n:
				index += 1
				lowercase_ : Any							       =   len(str(fibonacci(__snake_case	)	)	)

		return index



def 						lowercase    (				__snake_case				: int = 1_0_0_0	):
		return fibonacci_digits_index(__snake_case	)


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



