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Fix quantal stdp test for numpy #681

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merged 2 commits into from Mar 30, 2017
Merged

Fix quantal stdp test for numpy #681

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616722e
Fix quantal_stdp_test to make it run with numpy 1.12.0
Mar 15, 2017
c4dfd24
Remove deprecated parameters from test_quantal_stdp_synapse
Mar 16, 2017
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19 changes: 7 additions & 12 deletions pynest/nest/tests/test_quantal_stp_synapse.py
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Expand Up @@ -40,10 +40,6 @@ def test_QuantalSTPSynapse(self):
# parameter set for facilitation
fac_params = {"U": 0.03, "u": 0.03,
"tau_fac": 500., "tau_rec": 200., "weight": 1.}
dep_params = {"U": 0.5, "u": 0.5, "tau_fac": 15.,
"tau_rec": 670., "weight": 1.}
lin_params = {"U": 0.3, "u": 0.3, "tau_fac": 330.,
"tau_rec": 330., "weight": 1.}

# Here we assign the parameter set to the synapse models
t1_params = fac_params # for tsodyks2_synapse
Expand Down Expand Up @@ -78,7 +74,6 @@ def test_QuantalSTPSynapse(self):

voltmeter = nest.Create("voltmeter", 2)
nest.SetStatus(voltmeter, {"withgid": False, "withtime": True})
t_plot = 1000.
t_tot = 1500.

# the following is a dry run trial so that the synapse dynamics is
Expand All @@ -101,15 +96,15 @@ def test_QuantalSTPSynapse(self):
vm_reference = numpy.array(nest.GetStatus(
[voltmeter[0]], 'events')[0]['V_m'])

vm.shape = (n_trials, t_tot)
vm_reference.shape = (n_trials, t_tot)
assert(len(vm) % n_trials == 0)
n_steps = int(len(vm) / n_trials)
vm.shape = (n_trials, n_steps)
vm_reference.shape = (n_trials, n_steps)

vm_mean = numpy.array([numpy.mean(vm[:, i])
for i in range(int(t_tot))])
vm_ref_mean = numpy.array(
[numpy.mean(vm_reference[:, i]) for i in range(int(t_tot))])
vm_mean = numpy.mean(vm, axis=0)
vm_ref_mean = numpy.mean(vm_reference, axis=0)

error = numpy.sqrt((vm_ref_mean[:t_plot] - vm_mean[:t_plot])**2)
error = numpy.sqrt((vm_ref_mean - vm_mean)**2)
self.assertTrue(numpy.max(error) < 4.0e-4)


Expand Down