sli2py -mistral

Author: jessica-mitchell

testsuite/pytests/sli2py_regressions/test_ticket_310.py

@@ -0,0 +1,76 @@
+# -*- coding: utf-8 -*-
+#
+# test_ticket_310.py
+#
+# This file is part of NEST.
+#
+# Copyright (C) 2004 The NEST Initiative
+#
+# NEST is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 2 of the License, or
+# (at your option) any later version.
+#
+# NEST is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with NEST.  If not, see <http://www.gnu.org/licenses/>.
+
+import nest
+import pytest
+
+
+def test_ticket_310():
+    """
+    Regression test for Ticket #310.
+
+    Ensure that all neuron models that have V_m and V_th permit
+    V_m to be set to >= V_th, and that they emit a spike with
+    time stamp == resolution in that case.
+
+    Author: Hans Ekkehard Plesser, 2009-02-11
+    """
+
+    # Use power-of-two resolution to avoid round-off problems
+    res = 2**-3
+
+    skip_list = [
+        "iaf_chxk_2008",  # non-standard spiking conditions
+        "correlospinmatrix_detector",  # not a neuron
+        "eprop_iaf_bsshslm_2020",  # no ArchivingNode, thus no t_spike
+        "eprop_iaf_adapt_bsshslm_2020",  # no ArchivingNode, thus no t_spike
+        "eprop_readout_bsshslm_2020",  # no ArchivingNode, thus no t_spike
+        "eprop_iaf",  # no ArchivingNode, thus no t_spike
+        "eprop_iaf_adapt",  # no ArchivingNode, thus no t_spike
+        "eprop_iaf_psc_delta",  # no ArchivingNode, thus no t_spike
+        "eprop_iaf_psc_delta_adapt",  # no ArchivingNode, thus no t_spike
+        "eprop_readout",  # no ArchivingNode, thus no t_spike
+    ]
+
+    node_models = nest.node_models
+
+    results = []
+
+    for model in node_models:
+        if model not in skip_list:
+            nest.ResetKernel()
+            nest.SetKernelStatus({"resolution": res})
+            n = nest.Create(model)
+
+            # Check if V_m and V_th exist in the model's status
+            status = nest.GetStatus(n)[0]
+            if "V_m" in status and "V_th" in status:
+                nest.SetStatus(n, {"V_m": status["V_th"] + 15.0})
+                nest.Simulate(res)
+                t_spike = nest.GetStatus(n, "t_spike")[0]
+                results.append(t_spike <= res)
+            else:
+                results.append(True)
+        else:
+            results.append(True)
+
+    # Check if all entries are true
+    assert all(results), "Test failed for one or more models"