Merge pull request #2812 from nicolossus/port_test_multisynapse_models

Port `test_multisynapse_models` from SLI-2-Py

testsuite/pytests/sli2py_neurons/test_multisynapse_models.py

@@ -0,0 +1,80 @@
+# -*- coding: utf-8 -*-
+#
+# test_multisynapse_models.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/>.
+
+"""
+Test properties of multisynapse models.
+"""
+
+import pytest
+
+import nest
+
+
+@pytest.fixture(autouse=True)
+def reset():
+    nest.ResetKernel()
+
+
+multisyn_models = [model for model in nest.node_models if "_multisynapse" in model]
+
+
+@pytest.mark.parametrize("multisyn_model", multisyn_models)
+def test_multisynapse_model_rport_zero(multisyn_model):
+    """
+    Test that multisynapse neuron does not accept input to `rport` 0.
+    """
+
+    nrn = nest.Create(multisyn_model)
+    with pytest.raises(nest.kernel.NESTError):
+        nest.Connect(nrn, nrn)
+
+
+@pytest.mark.parametrize("multisyn_model", multisyn_models)
+def test_multisynapse_model_rport_one(multisyn_model):
+    """
+    Test that multisynapse neuron will accept input to `rport` 1 in default config.
+    """
+
+    nrn = nest.Create(multisyn_model)
+    nest.Connect(nrn, nrn, syn_spec={"receptor_type": 1})
+
+    assert nest.num_connections == 1
+
+
+@pytest.mark.parametrize("multisyn_model", multisyn_models)
+def test_multisynapse_model_empty_param_vector(multisyn_model):
+    """
+    Test setting multisynapse neuron parameters as empty vectors.
+
+    Given being a valid model parameter, the test ensures that it is possible
+    to set `E_rev`, `tau_syn`, `tau_rise` and `tau_decay` to empty vectors.
+    """
+
+    nrn = nest.Create(multisyn_model)
+    default_params = nrn.get()
+
+    empty_params = {pname: [] for pname in ["E_rev", "tau_syn", "tau_rise", "tau_decay"] if pname in default_params}
+
+    # Try to set params as empty vectors
+    nrn.set(empty_params)
+
+    # Verify that the set params indeed are empty
+    assert all(len(nrn.get(pname)) == 0 for pname in empty_params)