#!/usr/bin/env python3 """ Copyright 2019 Richard Feistenauer Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ # pylint: disable=wrong-import-position # pylint: disable=missing-function-docstring import random import sys import os sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) from cellular_automaton import CellularAutomaton, MooreNeighborhood, CAWindow, EdgeRule ALIVE = [1.0] DEAD = [0] class ConwaysCA(CellularAutomaton): """ Cellular automaton with the evolution rules of conways game of life """ def __init__(self): super().__init__(dimension=[100, 100], neighborhood=MooreNeighborhood(EdgeRule.FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS)) def init_cell_state(self, __): # pylint: disable=no-self-use rand = random.randrange(0, 16, 1) init = max(.0, float(rand - 14)) return [init] def evolve_rule(self, last_cell_state, neighbors_last_states): new_cell_state = last_cell_state alive_neighbours = self.__count_alive_neighbours(neighbors_last_states) if last_cell_state == DEAD and alive_neighbours == 3: new_cell_state = ALIVE if last_cell_state == ALIVE and alive_neighbours < 2: new_cell_state = DEAD if last_cell_state == ALIVE and 1 < alive_neighbours < 4: new_cell_state = ALIVE if last_cell_state == ALIVE and alive_neighbours > 3: new_cell_state = DEAD return new_cell_state @staticmethod def __count_alive_neighbours(neighbours): alive_neighbors = [] for n in neighbours: if n == ALIVE: alive_neighbors.append(1) return len(alive_neighbors) if __name__ == "__main__": CAWindow(cellular_automaton=ConwaysCA(), window_size=(1000, 830)).run(evolutions_per_second=40)