


import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

snake_case__  				=			180
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:List[Any]   ,    lowercase__	:int					)							->	List[str]:
						__magic_name__					:				int				=   k_size // 2
						__magic_name__		,			__magic_name__					:				Any				=   np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
						__magic_name__					:				str				=   (
						    1
						    / (2 * np.pi * sigma)
						    * np.exp(-(np.square(lowercase__					) + np.square(lowercase__					)) / (2 * np.square(lowercase__					))					)
						)
						return g
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:List[str]   ,    lowercase__	:Any   ,    lowercase__	:Any					)							->	str:
						__magic_name__					:				Dict				=   np.zeros(lowercase__					)

						for row in range(1   ,    image_shape[0] - 1					):
												for col in range(1   ,    image_shape[1] - 1					):
																		__magic_name__					:				int				=   gradient_direction[row, col]

																		if (
																		    0 <= direction < PI / 8
																		    or 1_5 * PI / 8 <= direction <= 2 * PI
																		    or 7 * PI / 8 <= direction <= 9 * PI / 8
																		):
																								__magic_name__					:				Tuple				=   sobel_grad[row, col - 1]
																								__magic_name__					:				Any				=   sobel_grad[row, col + 1]
																								if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
																														__magic_name__					:				Any				=   sobel_grad[row, col]

																		elif (
																		    PI / 8 <= direction < 3 * PI / 8
																		    or 9 * PI / 8 <= direction < 1_1 * PI / 8
																		):
																								__magic_name__					:				Tuple				=   sobel_grad[row + 1, col - 1]
																								__magic_name__					:				Union[str, Any]				=   sobel_grad[row - 1, col + 1]
																								if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
																														__magic_name__					:				Any				=   sobel_grad[row, col]

																		elif (
																		    3 * PI / 8 <= direction < 5 * PI / 8
																		    or 1_1 * PI / 8 <= direction < 1_3 * PI / 8
																		):
																								__magic_name__					:				Optional[Any]				=   sobel_grad[row - 1, col]
																								__magic_name__					:				Optional[Any]				=   sobel_grad[row + 1, col]
																								if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
																														__magic_name__					:				Tuple				=   sobel_grad[row, col]

																		elif (
																		    5 * PI / 8 <= direction < 7 * PI / 8
																		    or 1_3 * PI / 8 <= direction < 1_5 * PI / 8
																		):
																								__magic_name__					:				int				=   sobel_grad[row - 1, col - 1]
																								__magic_name__					:				List[Any]				=   sobel_grad[row + 1, col + 1]
																								if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
																														__magic_name__					:				Optional[Any]				=   sobel_grad[row, col]

						return destination
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:List[str]   ,    lowercase__	:str   ,    lowercase__	:Any   ,    lowercase__	:Optional[Any]   ,    lowercase__	:Tuple   ,    lowercase__	:int					)							->	Dict:
						for row in range(1   ,    image_shape[0] - 1					):
												for col in range(1   ,    image_shape[1] - 1					):
																		if destination[row, col] >= threshold_high:
																								__magic_name__					:				str				=   strong
																		elif destination[row, col] <= threshold_low:
																								__magic_name__					:				int				=   0
																		else:
																								__magic_name__					:				Optional[int]				=   weak
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:List[Any]   ,    lowercase__	:List[Any]   ,    lowercase__	:str   ,    lowercase__	:List[Any]					)							->	str:
						for row in range(1   ,    image_shape[0]					):
												for col in range(1   ,    image_shape[1]					):
																		if destination[row, col] == weak:
																								if 2_5_5 in (
																								    destination[row, col + 1],
																								    destination[row, col - 1],
																								    destination[row - 1, col],
																								    destination[row + 1, col],
																								    destination[row - 1, col - 1],
																								    destination[row + 1, col - 1],
																								    destination[row - 1, col + 1],
																								    destination[row + 1, col + 1],
																								):
																														__magic_name__					:				str				=   strong
																								else:
																														__magic_name__					:				Dict				=   0
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:Union[str, Any]   ,    lowercase__	:Dict=1_5   ,    lowercase__	:Tuple=3_0   ,    lowercase__	:Dict=1_2_8   ,    lowercase__	:List[str]=2_5_5					)							->	List[Any]:
						# gaussian_filter
						__magic_name__					:				Optional[int]				=   img_convolve(lowercase__   ,    gen_gaussian_kernel(9   ,    sigma=1.4					)					)
						# get the gradient and degree by sobel_filter
						__magic_name__		,			__magic_name__					:				List[Any]				=   sobel_filter(lowercase__					)
						__magic_name__					:				List[Any]				=   PI + np.radadeg(lowercase__					)

						__magic_name__					:				Union[str, Any]				=   suppress_non_maximum(image.shape   ,    lowercase__   ,    lowercase__					)

						detect_high_low_threshold(
						    image.shape   ,    lowercase__   ,    lowercase__   ,    lowercase__   ,    lowercase__   ,    lowercase__					)

						track_edge(image.shape   ,    lowercase__   ,    lowercase__   ,    lowercase__					)

						return destination


if __name__ == "__main__":
			# read original image in gray mode
			snake_case__  				=			cva.imread(R'../image_data/lena.jpg', 0)
			# canny edge detection
			snake_case__  				=			canny(lena)
			cva.imshow('canny', canny_destination)
			cva.waitKey(0)






from __future__ import annotations

import random
import string



class      snake_case__	:
				def __init__(	self  ,   _UpperCAmelCase = None   ):




										"""simple docstring"""




										__magic_name__					:				Union[str, Any]				=   passcode or self.__passcode_creator()
										__magic_name__					:				Any				=   self.__make_key_list()
										__magic_name__					:				Tuple				=   self.__make_shift_key()
				def __str__(	self   ):




										"""simple docstring"""




										return "".join(self.__passcode   )
				def 			UpperCamelCase_    (	self  ,   _UpperCAmelCase   ):




										"""simple docstring"""




										for i in range(1  ,   len(_UpperCAmelCase   )  ,   2   ):
																iterlist[i] *= -1
										return iterlist
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										__magic_name__					:				Any				=   string.ascii_letters + string.digits
										__magic_name__					:				Optional[Any]				=   [random.choice(_UpperCAmelCase   ) for _ in range(random.randint(10  ,   20   )   )]
										return password
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										__magic_name__					:				Any				=   (
										    string.ascii_letters + string.digits + string.punctuation + ' \t\n'
										)

										__magic_name__					:				List[str]				=   []

										# creates points known as breakpoints to break the key_list_options at those
										# points and pivot each substring
										__magic_name__					:				List[Any]				=   sorted(set(self.__passcode   )   )
										__magic_name__					:				list[str]				=   []

										# algorithm for creating a new shuffled list, keys_l, out of key_list_options
										for i in key_list_options:
																temp_list.extend(_UpperCAmelCase   )

																# checking breakpoints at which to pivot temporary sublist and add it into
																# keys_l
																if i in breakpoints or i == key_list_options[-1]:
																						keys_l.extend(temp_list[::-1]   )
																						temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
										return keys_l
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										__magic_name__					:				Dict				=   sum(self.__neg_pos([ord(_UpperCAmelCase   ) for x in self.__passcode]   )   )
										return num if num > 0 else len(self.__passcode   )
				def 			UpperCamelCase_    (	self  ,   _UpperCAmelCase   ):




										"""simple docstring"""




										__magic_name__					:				List[Any]				=   ''

										# decoding shift like Caesar cipher algorithm implementing negative shift or
										# reverse shift or left shift
										for i in encoded_message:
																__magic_name__					:				int				=   self.__key_list.index(_UpperCAmelCase   )
																decoded_message += self.__key_list[
																    (position - self.__shift_key) % -len(self.__key_list   )
																]

										return decoded_message





				def 			UpperCamelCase_    (	self  ,   _UpperCAmelCase   ):




										"""simple docstring"""




										__magic_name__					:				List[Any]				=   ''

										# encoding shift like Caesar cipher algorithm implementing positive shift or
										# forward shift or right shift
										for i in plaintext:
																__magic_name__					:				Dict				=   self.__key_list.index(_UpperCAmelCase   )
																encoded_message += self.__key_list[
																    (position + self.__shift_key) % len(self.__key_list   )
																]

										return encoded_message






def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:str = "Hello, this is a modified Caesar cipher"					)							->	str:
						__magic_name__					:				List[str]				=   ShuffledShiftCipher()
						return cipa.decrypt(cipa.encrypt(lowercase__					)					)


if __name__ == "__main__":
			import doctest

			doctest.testmod()


