



from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros
def  UpperCamelCase						(       _A			:				List[Any]			,							_A			:				Optional[int]    )->       Optional[int]:





						"""simple docstring"""





						A__							=       k_size // 2
						A__						,       A__							=       mgrid[0 - center : k_size - center, 0 - center : k_size - center]
						A__							=       1 / (2 * pi * sigma) * exp(-(square(_A    ) + square(_A    )) / (2 * square(_A    ))    )
						return g
def  UpperCamelCase						(       _A			:				List[Any]			,							_A			:				Union[str, Any]			,							_A			:				Tuple    )->       str:





						"""simple docstring"""





						A__						,       A__							=       image.shape[0], image.shape[1]
						# dst image height and width
						A__							=       height - k_size + 1
						A__							=       width - k_size + 1

						# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
						A__							=       zeros((dst_height * dst_width, k_size * k_size)    )
						A__							=       0
						for i, j in product(range(_A    )			,							range(_A    )    ):
												A__							=       ravel(image[i : i + k_size, j : j + k_size]    )
												A__							=       window
												row += 1

						#  turn the kernel into shape(k*k, 1)
						A__							=       gen_gaussian_kernel(_A			,							_A    )
						A__							=       ravel(_A    )

						# reshape and get the dst image
						A__							=       dot(_A			,							_A    ).reshape(_A			,							_A    ).astype(_A    )

						return dst


if __name__ == "__main__":
						# read original image
						UpperCAmelCase_							:      List[Any]      =  imread(R"../image_data/lena.jpg")
						# turn image in gray scale value
						UpperCAmelCase_							:      Dict      =  cvtColor(img, COLOR_BGR2GRAY)

						# get values with two different mask size
						UpperCAmelCase_							:      str      =  gaussian_filter(gray, 3, sigma=1)
						UpperCAmelCase_							:      List[str]      =  gaussian_filter(gray, 5, sigma=0.8)

						# show result images
						imshow("gaussian filter with 3x3 mask", gaussianaxa)
						imshow("gaussian filter with 5x5 mask", gaussianaxa)
						waitKey()










def  UpperCamelCase						(       _A			:				str    )->       str:





						"""simple docstring"""





						A__							=       ""
						for ch in key:
												if ch == " " or ch not in key_no_dups and ch.isalpha():
																		key_no_dups += ch
						return key_no_dups
def  UpperCamelCase						(       _A			:				str    )->       dict[str, str]:





						"""simple docstring"""





						A__							=       [chr(i + 65    ) for i in range(26    )]
						# Remove duplicate characters from key
						A__							=       remove_duplicates(key.upper()    )
						A__							=       len(_A    )
						# First fill cipher with key characters
						A__							=       {alphabet[i]: char for i, char in enumerate(_A    )}
						# Then map remaining characters in alphabet to
						# the alphabet from the beginning
						for i in range(len(_A    )			,							26    ):
												A__							=       alphabet[i - offset]
												# Ensure we are not mapping letters to letters previously mapped
												while char in key:
																		offset -= 1
																		A__							=       alphabet[i - offset]
												A__							=       char
						return cipher_alphabet
def  UpperCamelCase						(       _A			:				str			,							_A			:				dict[str, str]    )->       str:





						"""simple docstring"""





						return "".join(cipher_map.get(_A			,							_A    ) for ch in message.upper()    )
def  UpperCamelCase						(       _A			:				str			,							_A			:				dict[str, str]    )->       str:





						"""simple docstring"""





						A__							=       {v: k for k, v in cipher_map.items()}
						return "".join(rev_cipher_map.get(_A			,							_A    ) for ch in message.upper()    )
def  UpperCamelCase						(       )->       None:





						"""simple docstring"""





						A__							=       input("Enter message to encode or decode: "    ).strip()
						A__							=       input("Enter keyword: "    ).strip()
						A__							=       input("Encipher or decipher? E/D:"    ).strip()[0].lower()
						try:
												A__							=       {"e": encipher, "d": decipher}[option]
						except KeyError:
												raise KeyError("invalid input option"    )
						A__							=       create_cipher_map(_A    )
						print(func(_A			,							_A    )    )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()





