


'''simple docstring'''
import math
import sys

import cva
import numpy as np


def 			a      (			__a ,					__a   )  ->	np.ndarray:



					'''simple docstring'''






					UpperCamelCase__   :Optional[int]												= math.sqrt(__a   )
					UpperCamelCase__   :Tuple												= 1 / (sigma * math.sqrt(2 * math.pi   ))
					return cons * np.exp(-((img / sigma) ** 2) * 0.5   )


def 			a      (			__a ,					__a ,					__a ,					__a   )  ->	np.ndarray:



					'''simple docstring'''






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


def 			a      (			__a ,					__a   )  ->	np.ndarray:



					'''simple docstring'''






					UpperCamelCase__   :Optional[int]												= np.zeros((kernel_size, kernel_size)   )
					for i in range(0 ,					__a   ):
										for j in range(0 ,					__a   ):
															UpperCamelCase__   :Any												= math.sqrt(
															    abs(i - kernel_size // 2   ) ** 2 + abs(j - kernel_size // 2   ) ** 2   )
					return vec_gaussian(__a ,					__a   )


def 			a      (			__a ,					__a ,					__a ,					__a ,					)  ->	np.ndarray:



					'''simple docstring'''






					UpperCamelCase__   :Optional[Any]												= np.zeros(img.shape   )
					UpperCamelCase__   :str												= get_gauss_kernel(__a ,					__a   )
					UpperCamelCase__					,				UpperCamelCase__   :Optional[Any]												= 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__   :str												= get_slice(__a ,					__a ,					__a ,					__a   )
															UpperCamelCase__   :Any												= img_s - img_s[kernel_size // 2, kernel_size // 2]
															UpperCamelCase__   :Optional[Any]												= vec_gaussian(__a ,					__a   )
															UpperCamelCase__   :int												= np.multiply(__a ,					__a   )
															UpperCamelCase__   :Optional[Any]												= np.multiply(__a ,					__a   )
															UpperCamelCase__   :Dict												= np.sum(__a   ) / np.sum(__a   )
															UpperCamelCase__   :List[str]												= val
					return imga


def 			a      (			__a   )  ->	tuple:



					'''simple docstring'''






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


if __name__ == "__main__":
		__snake_case      ,					__snake_case      ,					__snake_case      ,					__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'''
__snake_case							      =     65521


def 			a      (			__a   )  ->	int:



					'''simple docstring'''






					UpperCamelCase__   :Tuple												= 1
					UpperCamelCase__   :Any												= 0
					for plain_chr in plain_text:
										UpperCamelCase__   :List[str]												= (a + ord(__a   )) % MOD_ADLER
										UpperCamelCase__   :Tuple												= (b + a) % MOD_ADLER
					return (b << 16) | a