cellular_automata.one_dimensional

Return an image of 16 generations of one-dimensional cellular automata based on a given ruleset number https://mathworld.wolfram.com/ElementaryCellularAutomaton.html

Attributes

CELLS
rule_num

Functions

format_ruleset(→ list[int])
generate_image(→ PIL.Image.Image)	Convert the cells into a greyscale PIL.Image.Image and return it to the caller.
new_generation(→ list[int])

Module Contents

cellular_automata.one_dimensional.format_ruleset(ruleset: int) → list[int]

>>> format_ruleset(11100)
[0, 0, 0, 1, 1, 1, 0, 0]
>>> format_ruleset(0)
[0, 0, 0, 0, 0, 0, 0, 0]
>>> format_ruleset(11111111)
[1, 1, 1, 1, 1, 1, 1, 1]

cellular_automata.one_dimensional.generate_image(cells: list[list[int]]) → PIL.Image.Image

Convert the cells into a greyscale PIL.Image.Image and return it to the caller. >>> from random import random >>> cells = [[random() for w in range(31)] for h in range(16)] >>> img = generate_image(cells) >>> isinstance(img, Image.Image) True >>> img.width, img.height (31, 16)

cellular_automata.one_dimensional.new_generation(cells: list[list[int]], rule: list[int], time: int) → list[int]

cellular_automata.one_dimensional.CELLS = [[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]]

cellular_automata.one_dimensional.rule_num