



'''simple docstring'''




from pathlib import Path

import numpy as np
from PIL import Image


def 				lowerCAmelCase_   (	_lowerCamelCase:   np.ndarray					):
		__SCREAMING_SNAKE_CASE       ,						__SCREAMING_SNAKE_CASE       ,						__SCREAMING_SNAKE_CASE       :		Any           =		rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
		return 0.29_89 * r + 0.58_70 * g + 0.11_40 * b


def 				lowerCAmelCase_   (	_lowerCamelCase:   np.ndarray					):
		return (gray > 1_27) & (gray <= 2_55)


def 				lowerCAmelCase_   (	_lowerCamelCase:   np.ndarray       ,      _lowerCamelCase:   np.ndarray					):
		__SCREAMING_SNAKE_CASE       :		str           =		np.zeros_like(_lowerCamelCase					)
		__SCREAMING_SNAKE_CASE       :		List[Any]           =		np.zeros(
		    (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)					)

		# Copy image to padded image
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		image

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


if __name__ == "__main__":
						# read original image
						UpperCamelCase__       :	List[Any]    = Path(__file__).resolve().parent / '''image_data''' / '''lena.jpg'''
						UpperCamelCase__       :	List[Any]    = np.array(Image.open(lena_path))
						# kernel to be applied
						UpperCamelCase__       :	Union[str, Any]    = np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])
						UpperCamelCase__       :	Tuple    = dilation(gray_to_binary(rgb_to_gray(lena)), structuring_element)
						# Save the output image
						UpperCamelCase__       :	Optional[int]    = Image.fromarray(output).convert('''RGB''')
						pil_img.save('''result_dilation.png''')




'''simple docstring'''




import string


def 				lowerCAmelCase_   (	_lowerCamelCase:   str					):
		__SCREAMING_SNAKE_CASE       :		Dict           =		""""""
		for i in sequence:
				__SCREAMING_SNAKE_CASE       :		Any           =		ord(_lowerCamelCase					)
				if 65 <= extract <= 90:
						output += chr(1_55 - extract					)
				elif 97 <= extract <= 1_22:
						output += chr(2_19 - extract					)
				else:
						output += i
		return output


def 				lowerCAmelCase_   (	_lowerCamelCase:   str					):
		__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		string.ascii_letters
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
		return "".join(
		    letters_reversed[letters.index(_lowerCamelCase					)] if c in letters else c for c in sequence					)


def 				lowerCAmelCase_   (	):
		from timeit import timeit

		print("""Running performance benchmarks..."""					)
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		"""from string import printable ; from __main__ import atbash, atbash_slow"""
		print(F"> atbash_slow(): {timeit('atbash_slow(printable)'       ,      setup=_lowerCamelCase					)} seconds"					)
		print(F">      atbash(): {timeit('atbash(printable)'       ,      setup=_lowerCamelCase					)} seconds"					)


if __name__ == "__main__":
						for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
												print(f"{example} encrypted in atbash: {atbash(example)}")
						benchmark()