def test_initialize_simulation_runtime(setup):
net, dt, duration = setup
start_scope()
rts = RuntimeSimulator()
assert_raises(TypeError, rts.initialize)
rts.initialize(net, var_init=None)
assert (isinstance(rts.networks['fit'], Network))
assert_raises(KeyError, rts.initialize, empty_net, None)
wrong_net = Network(NeuronGroup(1, model, name='neurons2'))
assert_raises(Exception, rts.initialize, wrong_net, None)
assert_raises(TypeError, rts.initialize, Network)
def test_run_simulation_runtime(setup):
net, dt, duration = setup
start_scope()
rts = RuntimeSimulator()
rts.initialize(net, var_init=None)
rts.run(duration, {'g': 100, 'E': 10}, ['g', 'E'])
I = getattr(rts.networks['fit']['monitor'], 'I')
assert_equal(np.shape(I), (1, duration / dt))
def test_run_simulation_runtime_var_init(setup):
_, dt, duration = setup
start_scope()
neurons = NeuronGroup(1, model2, name='neurons')
monitor = StateMonitor(neurons, 'v', record=True, name='statemonitor')
net = Network(neurons, monitor)
rts = RuntimeSimulator()
rts.initialize(net, var_init={'v': -60 * mV})
rts.run(duration, {'gL': 100, 'C': 10}, ['gL', 'C'], iteration=0)
v = getattr(rts.statemonitor, 'v')
assert_equal(np.shape(v), (1, duration / dt))
def test_init():
rts = RuntimeSimulator()
assert isinstance(rts, Simulator)