Merge pull request #3645 from heplesser/test_spatial_distributed_positions

Port test_spatial_distributed_positions from SLI to Py

Author: heplesser

testsuite/mpitests/test_spatial_distributed_positions.sli

@@ -0,0 +1,50 @@
+# -*- coding: utf-8 -*-
+#
+# test_spatial_distributed_positions.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 pytest
+from mpi_test_wrapper import MPITestAssertEqual
+
+
+@pytest.mark.skipif_incompatible_mpi
+@pytest.mark.skipif_missing_threads
+@MPITestAssertEqual([1, 2, 4], debug=False)
+def test_spatial_distributed_positions():
+    """
+    Confirm that layers have metadata and that positions are consistent in parallel simulations.
+
+    The test is performed on connection data written to OTHER_LABEL.
+    """
+
+    import nest
+    import pandas as pd
+
+    nest.total_num_virtual_procs = 4
+
+    layer = nest.Create(
+        "parrot_neuron", positions=nest.spatial.free(pos=[(x, y) for x in range(3) for y in range(5)], edge_wrap=False)
+    )
+    meta = layer.spatial
+
+    assert meta is not None
+    assert len(meta["positions"]) == sum(n.local for n in layer)
+
+    df = pd.DataFrame(meta["positions"])
+    df.to_csv(OTHER_LABEL.format(nest.num_processes, nest.Rank()), index=False, sep="\t")  # noqa: F821