def test_multiple_builds(Simulator, seed):
# this is not a separate test because of nengo issue #1011
solver = BiasedSolver()
A, Y = np.ones((1, 1)), np.ones((1, 1))
assert solver.bias is None
solver(A, Y)
assert solver.bias is not None
with warns(UserWarning):
solver(A, Y)
# issue: #99
with Network(seed=seed) as model:
stim = nengo.Node(output=0)
x = nengo.Ensemble(100, 1)
out = nengo.Node(size_in=1)
nengo.Connection(stim, x, synapse=None)
conn = Connection(x, out, synapse=None)
p = nengo.Probe(out, synapse=0.1)
assert isinstance(conn.solver, BiasedSolver)
with Simulator(model):
pass
with Simulator(model) as sim:
sim.run(0.1)
assert rmse(sim.data[p], 0) < 0.01
def test_balred(rng):
dt = 0.001
sys = Alpha(0.01) + Lowpass(0.001)
u = rng.normal(size=2000)
expected = sys.filt(u, dt)
def check(order, within, tol, method='del'):
redsys = balred(sys, order, method=method)
assert redsys.order_den <= order
actual = redsys.filt(u, dt)
assert abs(rmse(expected, actual) - within) < tol
with warns(UserWarning):
check(4, 0, 1e-13)
with warns(UserWarning):
check(3, 0, 1e-13)
check(2, 0.03, 0.01)
check(1, 0.3, 0.1)
def test_ntm_invalid_dims(ntm):
with pytest.raises(ValueError):
ntm.sample(1, d=0)
with pytest.raises(ValueError):
ntm.sample(1, d=1.5)
if isinstance(ntm, Sobol):
with warns(UserWarning):
ntm.sample(2, d=41)
def test_delay_invalid():
with warns(UserWarning):
PadeDelay(1, order=10, p=8)
with pytest.raises(ValueError):
PadeDelay(1, order=0)
with pytest.raises(ValueError):
PadeDelay(1, order=1)
with pytest.raises(ValueError):
PadeDelay(1, order=2.5)
with pytest.raises(ValueError):
PadeDelay(1, order=2, p=0)
with pytest.raises(ValueError):
PadeDelay(1, order=2, p=1.5)
with pytest.raises(ValueError):
LegendreDelay(1, order=3.5)
with pytest.raises(ValueError):
LegendreDelay(1, order=-1)
def test_seed_warning():
with Network():
ens = nengo.Ensemble(100, 1)
res = Reservoir(ens, ens)
with warns(UserWarning):
res.train(lambda x: x, 1.0, 0.001, WhiteSignal(1.0, high=10))
def test_output_warning():
with warns(UserWarning):
LinearNetwork(([1, 1], [1, 1]), 1, synapse=1, dt=1)
def test_unstable_warning():
with warns(UserWarning):
with Network():
LinearNetwork(~s, 1, synapse=0.02, dt=0.001, realizer=Identity())
def test_filt_issue_nengo1124():
with warns(UserWarning):
Lowpass(0.1).filt(np.asarray([1, 0]), dt=0.001, y0=1)
with warns(UserWarning):
Lowpass(0.1).filt(np.asarray([1, 0]), dt=0.001, y0=None)