




import numpy as np
from PIL import Image




def  a_		(							__snake_case					)	->			np.array:

			'''simple docstring'''


			UpperCamelCase_				,   UpperCamelCase_				,   UpperCamelCase_     				= rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
			return 0.29_89 * r + 0.58_70 * g + 0.11_40 * b




def  a_		(							__snake_case					)	->			np.array:

			'''simple docstring'''


			return (gray > 1_2_7) & (gray <= 2_5_5)




def  a_		(							__snake_case     ,		__snake_case					)	->			np.array:

			'''simple docstring'''


			UpperCamelCase_     				= np.zeros_like(__snake_case					)
			UpperCamelCase_     				= np.zeros(
			    (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)					)

			# Copy image to padded image
			UpperCamelCase_     				= image

			# Iterate over image & apply kernel
			for x in range(image.shape[1]					):
						for y in range(image.shape[0]					):
									UpperCamelCase_     				= (
									    kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
									).sum()
									UpperCamelCase_     				= int(summation == 5					)
			return output


# kernel to be applied
__a			:	Union[str, Any]							     =		np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])

if __name__ == "__main__":
				# read original image
				__a			:	int							     =		np.array(Image.open(R"""..\image_data\lena.jpg"""))
				# Apply erosion operation to a binary image
				__a			:	str							     =		erosion(grayabinary(rgbagray(image)), structuring_element)
				# Save the output image
				__a			:	Optional[int]							     =		Image.fromarray(output).convert("""RGB""")
				pil_img.save("""result_erosion.png""")






__a			:	Optional[Any]							     =		[chr(i) for i in range(32, 1_26)]
__a			:	Dict							     =		list(range(len(alphabets)))
__a			:	List[Any]							     =		list(range(len(alphabets)))
__a			:	Tuple							     =		list(range(len(alphabets)))
__a			:	List[Any]							     =		list(reversed(range(len(alphabets))))
__a			:	List[Any]							     =		[]
__a			:	Optional[int]							     =		0




def  a_		(							)	->			Dict:

			'''simple docstring'''


			global gear_one_pos
			global gear_two_pos
			global gear_three_pos
			UpperCamelCase_     				= gear_one[0]
			gear_one.append(__snake_case					)
			del gear_one[0]
			gear_one_pos += 1
			if gear_one_pos % int(len(__snake_case					)					) == 0:
						UpperCamelCase_     				= gear_two[0]
						gear_two.append(__snake_case					)
						del gear_two[0]
						gear_two_pos += 1
						if gear_two_pos % int(len(__snake_case					)					) == 0:
									UpperCamelCase_     				= gear_three[0]
									gear_three.append(__snake_case					)
									del gear_three[0]
									gear_three_pos += 1




def  a_		(							__snake_case					)	->			Any:

			'''simple docstring'''


			UpperCamelCase_     				= alphabets.index(__snake_case					)
			UpperCamelCase_     				= gear_one[target]
			UpperCamelCase_     				= gear_two[target]
			UpperCamelCase_     				= gear_three[target]
			UpperCamelCase_     				= reflector[target]
			UpperCamelCase_     				= gear_three.index(__snake_case					)
			UpperCamelCase_     				= gear_two.index(__snake_case					)
			UpperCamelCase_     				= gear_one.index(__snake_case					)
			code.append(alphabets[target]					)
			rotator()


if __name__ == "__main__":
				__a			:	Union[str, Any]							     =		list(input("""Type your message:\n"""))
				while True:
								try:
												__a			:	Optional[Any]							     =		int(input("""Please set token:(must be only digits)\n"""))
												break
								except Exception as error:
												print(error)
				for _ in range(token):
								rotator()
				for j in decode:
								engine(j)
				print("""\n""" + """""".join(code))
				print(
				    f"""\nYour Token is {token} please write it down.\nIf you want to decode """
				    """this message again you should input same digits as token!"""
				)
