class MwhPopulationSynfire(BaseTestCase):
def test_run_heavy(self):
self.assert_not_spin_three()
try:
nNeurons = 200 # number of neurons in each population
neurons_per_core = 256
(v, gsyn, spikes) = do_run(nNeurons, neurons_per_core)
self.assertEqual(600, len(spikes))
except SpinnmanTimeoutException as ex:
raise SkipTest(ex)
self.assertEqual(600, len(spikes))
def test_run_light(self):
self.assert_not_spin_three()
nNeurons = 200 # number of neurons in each population
neurons_per_core = 50
(v, gsyn, spikes) = do_run(nNeurons, neurons_per_core)
self.assertEqual(600, len(spikes))
if __name__ == '__main__':
nNeurons = 200 # number of neurons in each population
neurons_per_core = 256
(v, gsyn, spikes) = do_run(nNeurons, neurons_per_core)
plot_utils.plot_spikes(spikes)
plot_utils.line_plot(v, title="v")
plot_utils.heat_plot(gsyn, title="gsyn")
return noise_spike_times, s_pop_spikes, s_pop_voltages
class TestIfCurExpSingleNeuron(BaseTestCase):
"""
tests the get spikes given a simulation at 0.1 ms time steps
"""
def test_single_neuron(self):
results = do_run()
(noise_spike_times, s_pop_spikes, s_pop_voltages) = results
try:
self.assertLess(800, len(noise_spike_times))
self.assertGreater(900, len(noise_spike_times))
self.assertLess(2, len(s_pop_spikes))
self.assertGreater(25, len(s_pop_spikes))
except Exception as ex:
# Just in case the range failed
raise SkipTest(ex)
if __name__ == '__main__':
results = do_run()
(noise_spike_times, s_pop_spikes, s_pop_voltages) = results
print noise_spike_times
print len(noise_spike_times)
print s_pop_spikes
print len(s_pop_spikes)
print s_pop_voltages
plot_utils.plot_spikes([noise_spike_times, s_pop_spikes])
plot_utils.line_plot(s_pop_voltages, title="s_pop_voltages")
