





from typing import Literal

_SCREAMING_SNAKE_CASE   						=		"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ,			__a ):
	snake_case_		:      List[str]           =						LETTERS if mode == 'decrypt' else key
	snake_case_		:      List[Any]           =						key if mode == 'decrypt' else LETTERS
	snake_case_		:      Any           =						''
	# loop through each symbol in the message
	for symbol in message:
		if symbol.upper() in chars_a:
			# encrypt/decrypt the symbol
			snake_case_		:      int           =						chars_a.find(symbol.upper() )
			if symbol.isupper():
				translated += chars_b[sym_index].upper()
			else:
				translated += chars_b[sym_index].lower()
		else:
			# symbol is not in LETTERS, just add it
			translated += symbol
	return translated


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ):
	return translate_message(__a ,			__a ,			'encrypt' )


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ):
	return translate_message(__a ,			__a ,			'decrypt' )


def 				SCREAMING_SNAKE_CASE__    (     ):
	snake_case_		:      Optional[int]           =						'Hello World'
	snake_case_		:      Dict           =						'QWERTYUIOPASDFGHJKLZXCVBNM'
	snake_case_		:      Optional[Any]           =						'decrypt'  # set to 'encrypt' or 'decrypt'

	if mode == "encrypt":
		snake_case_		:      List[str]           =						encrypt_message(__a ,			__a )
	elif mode == "decrypt":
		snake_case_		:      Optional[Any]           =						decrypt_message(__a ,			__a )
	print(f"""Using the key {key}, the {mode}ed message is: {translated}""" )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()



'''simple docstring'''
import numpy as np
from PIL import Image

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    snake_case_      ,			snake_case_      ,			snake_case_			:     List[str]        =    rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
    return 0.2989 * r + 0.5870 * g + 0.1140 * b

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






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

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    snake_case_			:     Any        =    np.zeros_like(__SCREAMING_SNAKE_CASE							)
    snake_case_			:     Tuple        =    np.zeros(
        (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)							)

    # Copy image to padded image
    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]							):
            snake_case_			:     List[str]        =    (
                kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
            ).sum()
            snake_case_			:     Dict        =    int(summation == 5							)
    return output


# kernel to be applied
a_           =    np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])

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




