def test_all_no_constarint(self):
synfire_run = SynfireRunner()
synfire_run.do_run(n_neurons,
neurons_per_core=neurons_per_core,
delay=delay,
run_times=[runtime],
record=True,
record_7=True,
record_v=True,
record_v_7=True,
record_gsyn_exc=True,
record_gsyn_exc_7=True,
record_gsyn_inh=False)
gsyn_exc_7 = synfire_run.get_output_pop_gsyn_exc_7()
v_7 = synfire_run.get_output_pop_voltage_7()
spikes_7 = synfire_run.get_output_pop_spikes_7()
gsyn_exc = synfire_run.get_output_pop_gsyn_exc_numpy()
v = synfire_run.get_output_pop_voltage_numpy()
spikes = synfire_run.get_output_pop_spikes_numpy()
self.assertEquals(n_neurons * runtime, len(gsyn_exc))
read_gsyn = numpy.loadtxt(gysn_file, delimiter=',')
if not numpy.allclose(read_gsyn, gsyn_exc_7):
for g1, g2 in zip(read_gsyn, gsyn_exc_7):
if not numpy.allclose(g1, g2, rtol=1e-04):
print(g1, g2, g1[2] - g2[2], (g1[2] - g2[2]) / g1[2])
self.assertTrue(numpy.allclose(read_gsyn, gsyn_exc_7, rtol=1e-04),
"gsyn synakker method mismatch")
self.assertTrue(numpy.allclose(read_gsyn, gsyn_exc, rtol=1e-04),
"gsyn neo method mismatch")
self.assertEquals(n_neurons * runtime, len(v))
read_v = numpy.loadtxt(v_file, delimiter=',')
self.assertTrue(numpy.allclose(read_v, v_7, rtol=1e-03),
"v synakker method mismatch")
self.assertTrue(numpy.allclose(read_v, v, rtol=1e-03),
"v neo method mismatch")
self.assertEquals(expected_spikes, len(spikes))
spike_checker.synfire_spike_checker(spikes, n_neurons)
read_spikes = numpy.loadtxt(spike_file, delimiter=',')
self.assertTrue(numpy.allclose(read_spikes, spikes_7),
"spikes synakker method mismatch")
self.assertTrue(numpy.allclose(read_spikes, spikes),
"spikes neo method mismatch")
def do_sampling_rate(self):
synfire_run = SynfireRunner()
synfire_run.do_run(n_neurons, neurons_per_core=neurons_per_core,
delay=delay, run_times=[runtime], record=True,
record_7=True, record_v=True, record_v_7=True,
v_sampling_rate=2, gsyn_exc_sampling_rate=3,
record_gsyn_exc=True, record_gsyn_exc_7=True,
record_gsyn_inh=False)
gsyn_exc_7 = synfire_run.get_output_pop_gsyn_exc_7()
v_7 = synfire_run.get_output_pop_voltage_7()
spikes_7 = synfire_run.get_output_pop_spikes_7()
gsyn_exc = synfire_run.get_output_pop_gsyn_exc_numpy()
v = synfire_run.get_output_pop_voltage_numpy()
spikes = synfire_run.get_output_pop_spikes_numpy()
read_gsyn = numpy.loadtxt(gysn_file, delimiter=',')
small_gsyn = read_gsyn[read_gsyn[:, 1] % 3 == 0]
self.assertEqual(len(small_gsyn), len(gsyn_exc_7))
self.assertTrue(numpy.allclose(small_gsyn, gsyn_exc_7, rtol=1e-04),
"gsyn synakker method mismatch")
self.assertTrue(numpy.allclose(small_gsyn, gsyn_exc, rtol=1e-04),
"gsyn neo method mismatch")
self.assertEqual(n_neurons*(runtime/2), len(v))
read_v = numpy.loadtxt(v_file, delimiter=',')
small_v = read_v[read_v[:, 1] % 2 == 0]
self.assertTrue(numpy.allclose(small_v, v_7, rtol=1e-03),
"v synakker method mismatch")
self.assertTrue(numpy.allclose(small_v, v, rtol=1e-03),
"v neo method mismatch")
self.assertEqual(expected_spikes, len(spikes))
spike_checker.synfire_spike_checker(spikes, n_neurons)
read_spikes = numpy.loadtxt(spike_file, delimiter=',')
self.assertTrue(numpy.allclose(read_spikes, spikes_7),
"spikes synakker method mismatch")
self.assertTrue(numpy.allclose(read_spikes, spikes),
"spikes neo method mismatch")
