84 lines
2.3 KiB
Python
84 lines
2.3 KiB
Python
"""
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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=missing-function-docstring
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# pylint: disable=missing-class-docstring
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import pytest
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from .context import cellular_automaton as ca
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class TAutomaton(ca.CellularAutomaton):
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def evolve_rule(self, last_cell_state, __):
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return [last_cell_state[0] + 1]
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def init_cell_state(self, __):
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return [0]
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NEIGHBORHOOD = ca.MooreNeighborhood(ca.EdgeRule.FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS)
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def test_process_evolution_steps():
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automaton = TAutomaton(NEIGHBORHOOD, [3, 3])
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automaton.evolve(5)
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assert automaton.evolution_step == 5
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def test_process_evolution_calls():
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automaton = TAutomaton(NEIGHBORHOOD, [3, 3])
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automaton.evolve(5)
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assert automaton.cells[(1, 1)].state[0] == 5
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@pytest.mark.parametrize("dimensions", [1, 2, 3, 4, 5])
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def test_dimensions(dimensions):
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automaton = TAutomaton(ca.MooreNeighborhood(), dimension=[3] * dimensions)
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automaton.evolve()
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assert automaton.cells[(1, ) * dimensions].state[0] == 1
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def test_copy_cells():
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automaton = TAutomaton(NEIGHBORHOOD, [3, 3])
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automaton.evolve(5)
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automaton2 = TAutomaton(NEIGHBORHOOD, [3, 3])
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automaton2.cells = automaton.cells
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assert automaton2.cells[(1, 1)].state[0] == 5
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def test_automaton_goes_inactive():
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automaton = TAutomaton(NEIGHBORHOOD, [3, 3])
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assert automaton.active
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automaton.evolve_rule = lambda x, y: x
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automaton.evolve()
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assert not automaton.active
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def test_reactivation():
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automaton = TAutomaton(NEIGHBORHOOD, [3, 3])
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rule, automaton.evolve_rule = automaton.evolve_rule, lambda x, y: x
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automaton.evolve()
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assert not automaton.active
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automaton.reactivate()
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automaton.evolve_rule = rule
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automaton.evolve()
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assert automaton.active
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