cellular_automata.one_dimensional
=================================

.. py:module:: cellular_automata.one_dimensional

.. autoapi-nested-parse::

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



Attributes
----------

.. autoapisummary::

   cellular_automata.one_dimensional.CELLS
   cellular_automata.one_dimensional.rule_num


Functions
---------

.. autoapisummary::

   cellular_automata.one_dimensional.format_ruleset
   cellular_automata.one_dimensional.generate_image
   cellular_automata.one_dimensional.new_generation


Module Contents
---------------

.. py:function:: 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]


.. py:function:: 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)


.. py:function:: new_generation(cells: list[list[int]], rule: list[int], time: int) -> list[int]

.. py:data:: CELLS
   :value: [[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]]


.. py:data:: rule_num