
'''simple docstring'''
from cva import destroyAllWindows, imread, imshow, waitKey







def 						A_(			A		:						Tuple						,			A		:						int):
							UpperCamelCase       ,     UpperCamelCase					       =			img.shape[0], img.shape[1]

							def to_grayscale(A		:						Any						,			A		:						Optional[int]						,			A		:						List[str]):
														return 0.2_126 * red + 0.587 * green + 0.114 * blue

							def normalize(A		:						str):
														return min(A						,			255)

							for i in range(A):
														for j in range(A):
																					UpperCamelCase					       =			int(to_grayscale(*img[i][j]))
																					UpperCamelCase					       =			[
																					    normalize(A),
																					    normalize(greyscale + factor),
																					    normalize(greyscale + 2 * factor),
																					]

							return img


if __name__ == "__main__":
						# read original image
						lowerCAmelCase :  Dict      =      {
						    percentage: imread('image_data/lena.jpg', 1) for percentage in (10, 20, 30, 40)
						}

						for percentage, img in images.items():
												make_sepia(img, percentage)

						for percentage, img in images.items():
												imshow(f"""Original image with sepia (factor: {percentage})""", img)

						waitKey(0)
						destroyAllWindows()






'''simple docstring'''
from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
lowerCAmelCase :  Union[str, Any]      =      [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]







def 						A_(			A		:						int):
							return [int(A) for c in f'''{ruleset:08}'''[:8]]







def 						A_(			A		:						list[list[int]]						,			A		:						list[int]						,			A		:						int):
							UpperCamelCase					       =			len(cells[0])  # 31
							UpperCamelCase					       =			[]
							for i in range(A):
														# Get the neighbors of each cell
														# Handle neighbours outside bounds by using 0 as their value
														UpperCamelCase					       =			0 if i == 0 else cells[time][i - 1]
														UpperCamelCase					       =			0 if i == population - 1 else cells[time][i + 1]
														# Define a new cell and add it to the new generation
														UpperCamelCase					       =			7 - int(f'''{left_neighbor}{cells[time][i]}{right_neighbor}'''						,			2)
														next_generation.append(rule[situation])
							return next_generation







def 						A_(			A		:						list[list[int]]):
							UpperCamelCase					       =			Image.new('RGB'						,			(len(cells[0]), len(A)))
							UpperCamelCase					       =			img.load()
							# Generates image
							for w in range(img.width):
														for h in range(img.height):
																					UpperCamelCase					       =			255 - int(255 * cells[h][w])
																					UpperCamelCase					       =			(color, color, color)
							return img


if __name__ == "__main__":
						lowerCAmelCase :  Optional[int]      =      bin(int(input('Rule:\n').strip()))[2:]
						lowerCAmelCase :  Tuple      =      format_ruleset(int(rule_num))
						for time in range(16):
												CELLS.append(new_generation(CELLS, rule, time))
						lowerCAmelCase :  List[str]      =      generate_image(CELLS)
						# Uncomment to save the image
						# img.save(f"rule_{rule_num}.png")
						img.show()




