





'''simple docstring'''



import math
import sys

import cva
import numpy as np




def 				_lowerCAmelCase  (			lowerCamelCase_     :					np.ndarray						,    lowerCamelCase_     :					float			):
			# For applying gaussian function for each element in matrix.
			__lowercase			  =							math.sqrt(lowerCamelCase_			)
			__lowercase			  =							1 / (sigma * math.sqrt(2 * math.pi			))
			return cons * np.exp(-((img / sigma) ** 2) * 0.5			)




def 				_lowerCAmelCase  (			lowerCamelCase_     :					np.ndarray						,    lowerCamelCase_     :					int						,    lowerCamelCase_     :					int						,    lowerCamelCase_     :					int			):
			__lowercase			  =							kernel_size // 2
			return img[x - half : x + half + 1, y - half : y + half + 1]




def 				_lowerCAmelCase  (			lowerCamelCase_     :					int						,    lowerCamelCase_     :					float			):
			# Creates a gaussian kernel of given dimension.
			__lowercase			  =							np.zeros((kernel_size, kernel_size)			)
			for i in range(0						,    lowerCamelCase_			):
						for j in range(0						,    lowerCamelCase_			):
									__lowercase			  =							math.sqrt(
									    abs(i - kernel_size // 2			) ** 2 + abs(j - kernel_size // 2			) ** 2			)
			return vec_gaussian(lowerCamelCase_						,    lowerCamelCase_			)




def 				_lowerCAmelCase  (			lowerCamelCase_     :					np.ndarray						,    lowerCamelCase_     :					float						,    lowerCamelCase_     :					float						,    lowerCamelCase_     :					int						,    ):
			__lowercase			  =							np.zeros(img.shape			)
			__lowercase			  =							get_gauss_kernel(lowerCamelCase_						,    lowerCamelCase_			)
			__lowercase  ,						__lowercase			  =							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			):
									__lowercase			  =							get_slice(lowerCamelCase_						,    lowerCamelCase_						,    lowerCamelCase_						,    lowerCamelCase_			)
									__lowercase			  =							img_s - img_s[kernel_size // 2, kernel_size // 2]
									__lowercase			  =							vec_gaussian(lowerCamelCase_						,    lowerCamelCase_			)
									__lowercase			  =							np.multiply(lowerCamelCase_						,    lowerCamelCase_			)
									__lowercase			  =							np.multiply(lowerCamelCase_						,    lowerCamelCase_			)
									__lowercase			  =							np.sum(lowerCamelCase_			) / np.sum(lowerCamelCase_			)
									__lowercase			  =							val
			return imga




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


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

	_SCREAMING_SNAKE_CASE   =      img / 2_5_5
	_SCREAMING_SNAKE_CASE   =      out.astype('''float32''')
	_SCREAMING_SNAKE_CASE   =      bilateral_filter(out, spatial_variance, intensity_variance, kernel_size)
	_SCREAMING_SNAKE_CASE   =      out * 2_5_5
	_SCREAMING_SNAKE_CASE   =      np.uinta(out)
	cva.imshow('''output image''', out)
	cva.waitKey(0)
	cva.destroyAllWindows()












'''simple docstring'''



import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812




def 				_lowerCAmelCase  (			):
			print('''Making key files...'''			)
			make_key_files('''rsa'''						,    1_0_2_4			)
			print('''Key files generation successful.'''			)




def 				_lowerCAmelCase  (			lowerCamelCase_     :					int			):
			print('''Generating prime p...'''			)
			__lowercase			  =							rabinMiller.generate_large_prime(lowerCamelCase_			)
			print('''Generating prime q...'''			)
			__lowercase			  =							rabinMiller.generate_large_prime(lowerCamelCase_			)
			__lowercase			  =							p * q

			print('''Generating e that is relatively prime to (p - 1) * (q - 1)...'''			)
			while True:
						__lowercase			  =							random.randrange(2 ** (key_size - 1)						,    2 ** (key_size)			)
						if cryptoMath.gcd(lowerCamelCase_						,    (p - 1) * (q - 1)			) == 1:
									break

			print('''Calculating d that is mod inverse of e...'''			)
			__lowercase			  =							cryptoMath.find_mod_inverse(lowerCamelCase_						,    (p - 1) * (q - 1)			)

			__lowercase			  =							(n, e)
			__lowercase			  =							(n, d)
			return (public_key, private_key)




def 				_lowerCAmelCase  (			lowerCamelCase_     :					str						,    lowerCamelCase_     :					int			):
			if os.path.exists(f"{name}_pubkey.txt"			) or os.path.exists(f"{name}_privkey.txt"			):
						print('''\nWARNING:'''			)
						print(
						    f"\"{name}_pubkey.txt\" or \"{name}_privkey.txt\" already exists. \n"
						    '''Use a different name or delete these files and re-run this program.'''			)
						sys.exit()

			__lowercase  ,						__lowercase			  =							generate_key(lowerCamelCase_			)
			print(f"\nWriting public key to file {name}_pubkey.txt..."			)
			with open(f"{name}_pubkey.txt"						,    '''w'''			) as out_file:
						out_file.write(f"{key_size},{public_key[0]},{public_key[1]}"			)

			print(f"Writing private key to file {name}_privkey.txt..."			)
			with open(f"{name}_privkey.txt"						,    '''w'''			) as out_file:
						out_file.write(f"{key_size},{private_key[0]},{private_key[1]}"			)


if __name__ == "__main__":
	main()





