neuropercolation/tests/test_automaton.py
2020-10-22 15:33:13 +02:00

62 lines
1.8 KiB
Python

"""
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=missing-function-docstring
# pylint: disable=redefined-outer-name
import pytest
from .context import cellular_automaton as ca
class TAutomaton(ca.CellularAutomaton):
""" Simple Automaton for test purposes """
def evolve_rule(self, last_cell_state, neighbors_last_states):
return [last_cell_state[0] + 1]
def init_cell_state(self, cell_coordinate):
return [0]
NEIGHBORHOOD = ca.MooreNeighborhood(ca.EdgeRule.FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS)
def test_process_evolution_steps():
automaton = TAutomaton(NEIGHBORHOOD, [3, 3])
automaton.evolve(5)
assert automaton.evolution_step == 5
def test_process_evolution_calls():
automaton = TAutomaton(NEIGHBORHOOD, [3, 3])
automaton.evolve(5)
assert automaton.cells[(1, 1)].state[0] == 5
@pytest.mark.parametrize("dimensions", [1, 2, 3, 4, 5])
def test_dimensions(dimensions):
automaton = TAutomaton(ca.MooreNeighborhood(), dimension=[3] * dimensions)
automaton.evolve()
assert automaton.cells[(1, ) * dimensions].state[0] == 1
def test_process_evolution_calls():
automaton = TAutomaton(NEIGHBORHOOD, [3, 3])
automaton.evolve(5)
automaton2 = TAutomaton(NEIGHBORHOOD, [3, 3])
automaton2.cells = automaton.cells
assert automaton2.cells[(1, 1)].state[0] == 5