def METHOD_NAME(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.assertEqual(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.assertEqual(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.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")