Port issue-1212.sli to Pytest

testsuite/pytests/sli2py_regressions/test_issue_1212.py

@@ -0,0 +1,58 @@
+# -*- coding: utf-8 -*-
+#
+# test_issue_1212.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/>.
+
+"""
+Regression test for Issue #1212 (GitHub).
+
+Test that a weight recorder can be used with a probabilistic synapse.
+"""
+
+import nest
+
+
+def test_weight_recorder_with_probabilistic_synapse():
+    """
+    Ensure that a `weight_recorder` can be used with the probabilistic `bernoulli_synapse`.
+
+    This test ensures that using a weight recorder with a probabilistic synapse
+    that drops a spike doesn't result in a segfault.
+    """
+
+    sgen = nest.Create("spike_generator")
+    src_parrot = nest.Create("parrot_neuron")
+    tgt_parrot = nest.Create("parrot_neuron")
+    wrec = nest.Create("weight_recorder")
+
+    nest.CopyModel("bernoulli_synapse", "bernoulli_synapse_wrec", {"weight_recorder": wrec})
+
+    nest.Connect(sgen, src_parrot)
+    nest.Connect(
+        src_parrot,
+        tgt_parrot,
+        conn_spec={"rule": "one_to_one"},
+        syn_spec={
+            "synapse_model": "bernoulli_synapse_wrec",
+            "p_transmit": 0.0,
+            "weight": 1.0,
+        },
+    )
+
+    nest.Simulate(20.0)