def test_timeseries_too_short(self):
net = ECA(30, 3)
with self.assertRaises(ValueError):
net.timeseries(-1)
with self.assertRaises(ValueError):
net.timeseries(0)
def test_timeseries_eca(self):
for size in [5, 7, 11]:
rule = ECA(30, size)
time = 10
series = rule.timeseries(time)
self.assertEqual((size, 2**size, time + 1), series.shape)
for index, state in enumerate(rule):
traj = rule.trajectory(state, timesteps=time)
for t, expect in enumerate(traj):
got = series[:, index, t]
self.assertTrue(np.array_equal(expect, got))