def test_compare_evil_random_pure(self):
rule_a = 30
rule_b = 184
rando = ZerosThenOnesRandom(1001)
compu = cagen.DualRuleCellularAutomaton(rule_a, rule_b, 0.5)
sf = cagen.automatic_stepfunc(size=(100,), computation=compu,
needs_random_generator=True,
random_generator=rando, histogram=True)
sf.gen_code()
simu = CagenSimulator(sf)
br = cagen.BinRule(rule=rule_a, config=simu.get_config())
for i in range(10):
simu.step_pure_py()
br.step_pure_py()
assert_arrays_equal(simu.get_config(), br.get_config())
br2 = cagen.BinRule(rule=rule_b, config=simu.get_config())
for i in range(19):
simu.step_pure_py()
br2.step_pure_py()
assert_arrays_equal(simu.get_config(), br2.get_config())
def test_run_nondeterministic_pure(self):
# implement nazim fatès density classifier
compu = cagen.DualRuleCellularAutomaton(184, 232, 0.1)
sf = cagen.automatic_stepfunc(computation=compu, histogram=True, needs_random_generator=True)
sf.gen_code()
simu = CagenSimulator(sf)
for i in range(20):
simu.step_pure_py()
def test_compare_nondeterministic_pure(self):
compu = cagen.DualRuleCellularAutomaton(184, 232, 0)
sf = cagen.automatic_stepfunc(size=(100,), computation=compu, histogram=True, needs_random_generator=True)
sf.gen_code()
simu = CagenSimulator(sf)
br = cagen.BinRule(rule=232, config=simu.get_config())
for i in range(20):
simu.step_pure_py()
br.step_pure_py()
assert_arrays_equal(simu.get_config(), br.get_config())
