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