def test_timeseries_eca(self):
rule = ECA(30)
for size in [5, 7, 11]:
landscape = Landscape(rule, size=size)
time = 10
series = landscape.timeseries(time)
self.assertEqual((size, 2**size, time + 1), series.shape)
for index, state in enumerate(rule.state_space(size)):
traj = landscape.trajectory(state, timesteps=time)
for t, expect in enumerate(traj):
got = series[:, index, t]
self.assertTrue(np.array_equal(expect, got))
def test_is_state_space(self):
self.assertTrue(issubclass(Landscape, StateSpace))
space = s_pombe.state_space()
landscape = Landscape(s_pombe)
self.assertEqual(list(space), list(landscape))
self.assertEqual([space.encode(state) for state in space],
list(map(landscape.encode, landscape)))
ca = ECA(30)
space = ca.state_space(10)
landscape = Landscape(ca, size=10)
self.assertEqual(list(space), list(landscape))
self.assertEqual([space.encode(state) for state in space],
list(map(landscape.encode, landscape)))