class TestModel(SimulatorTestCase):
def test_counters(self):
params = dict(simulator=self.Simulator, seed=123, dt=0.001)
# Old API
net = nef.Network('test_counters', **params)
simtime_probe = net._raw_probe(net.model.simtime, dt_sample=.001)
steps_probe = net._raw_probe(net.model.steps, dt_sample=.001)
net.run(0.003)
simtime_data = simtime_probe.get_data()
steps_data = steps_probe.get_data()
self.assertTrue(np.allclose(simtime_data.flatten(), [.001, .002, .003]))
self.assertTrue(np.allclose(steps_data.flatten(), [1, 2, 3]))
# New API
m = nengo.Model('test_counters', **params)
m.probe(m.simtime)
m.probe(m.steps)
m.run(0.003)
self.assertTrue(np.allclose(m.data[m.simtime].flatten(),
[.001, .002, .003]))
self.assertTrue(np.allclose(m.data[m.steps].flatten(), [1, 2, 3]))
if __name__ == "__main__":
nengo.log_to_file('log.txt', debug=True)
unittest.main()
ens_attrs = ('encoders', 'max_rates', 'intercepts')
A = [mi.get('A') for mi in [m1, m2, m3]]
B = [mi.get('B') for mi in [m1, m2, m3]]
compare_objs(A[0], A[1], ens_attrs)
compare_objs(B[0], B[1], ens_attrs)
compare_objs(A[0], A[2], ens_attrs, equal=False)
compare_objs(B[0], B[2], ens_attrs, equal=False)
neur_attrs = ('gain', 'bias')
compare_objs(A[0].neurons, A[1].neurons, neur_attrs)
compare_objs(B[0].neurons, B[1].neurons, neur_attrs)
compare_objs(A[0].neurons, A[2].neurons, neur_attrs, equal=False)
compare_objs(B[0].neurons, B[2].neurons, neur_attrs, equal=False)
class TestModel(SimulatorTestCase):
def test_counters(self):
m = nengo.Model('test_counters', seed=123)
m.probe(m.steps)
sim = m.simulator(dt=0.001, sim_class=self.Simulator)
sim.run(0.003)
self.assertTrue(
np.allclose(sim.data(m.t).flatten(), [0.00, .001, .002]))
self.assertTrue(np.allclose(sim.data(m.steps).flatten(), [0, 1, 2]))
if __name__ == "__main__":
nengo.log_to_file('log.txt', debug=True)
unittest.main()
class TestBasalGanglia(SimulatorTestCase):
def test_basic(self):
model = nengo.Model("test_basalganglia_basic")
model.add(BasalGanglia("BG", dimensions=5))
model.make_node("input", [0.8, 0.4, 0.4, 0.4, 0.4])
model.connect("input", "BG.input")
model.probe("BG.output")
sim = model.simulator(sim_class=self.Simulator)
sim.run(0.2)
output = np.mean(sim.data("BG.output")[50:], axis=0)
self.assertGreater(output[0], -0.1)
self.assertLess(output[1], -0.8)
self.assertLess(output[2], -0.8)
self.assertLess(output[3], -0.8)
self.assertLess(output[4], -0.8)
if __name__ == "__main__":
nengo.log_to_file("log.txt", debug=True)
unittest.main()
