Port regression test 735 to Pytests

testsuite/pytests/sli2py_regressions/test_issue_735.py

@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+#
+# test_issue_735.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
+
+
+@pytest.mark.parametrize("use_param_on_connect", [True, False])
+@pytest.mark.parametrize("copy_model", [True, False])
+@pytest.mark.parametrize("param_name", ["A_minus", "A_plus", "Wmax", "Wmin", "b", "tau_c", "tau_n", "tau_plus"])
+def test_issue_735(use_param_on_connect, copy_model, param_name):
+    """
+    Regression test for Issue #735 (GitHub).
+
+    This test ensures that NEST raises an error if the user tries to set stdp parameters
+    in ways that are not supported for stdp_dopamine_synapse.
+    """
+
+    nest.ResetKernel()
+
+    n = nest.Create("iaf_psc_alpha")
+    vt = nest.Create("volume_transmitter")
+
+    if copy_model:
+        nest.CopyModel("stdp_dopamine_synapse", "mysyn", {"volume_transmitter": vt})
+        syn_model = "mysyn"
+    else:
+        nest.SetDefaults("stdp_dopamine_synapse", {"volume_transmitter": vt})
+        syn_model = "stdp_dopamine_synapse"
+
+    if use_param_on_connect:
+        with pytest.raises(nest.kernel.NESTErrors.NotImplemented):
+            nest.Connect(
+                n,
+                n,
+                conn_spec={"rule": "one_to_one"},
+                syn_spec={"synapse_model": syn_model, "weight": 2.0, param_name: 1.0},
+            )
+    else:
+        nest.Connect(n, n, syn_spec={"synapse_model": syn_model, "weight": 2.0})
+        conns = nest.GetConnections()
+        with pytest.raises(nest.kernel.NESTErrors.DictError):
+            conns.set({param_name: 1.0, "weight": 2.0})