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| 1 | +# -*- coding: utf-8 -*- |
| 2 | +# |
| 3 | +# test_global_rng.py |
| 4 | +# |
| 5 | +# This file is part of NEST. |
| 6 | +# |
| 7 | +# Copyright (C) 2004 The NEST Initiative |
| 8 | +# |
| 9 | +# NEST is free software: you can redistribute it and/or modify |
| 10 | +# it under the terms of the GNU General Public License as published by |
| 11 | +# the Free Software Foundation, either version 2 of the License, or |
| 12 | +# (at your option) any later version. |
| 13 | +# |
| 14 | +# NEST is distributed in the hope that it will be useful, |
| 15 | +# but WITHOUT ANY WARRANTY; without even the implied warranty of |
| 16 | +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| 17 | +# GNU General Public License for more details. |
| 18 | +# |
| 19 | +# You should have received a copy of the GNU General Public License |
| 20 | +# along with NEST. If not, see <http://www.gnu.org/licenses/>. |
| 21 | + |
| 22 | +import pandas as pd |
| 23 | +import pytest |
| 24 | +from mpi_test_wrapper import MPITestAssertAllRanksEqual |
| 25 | + |
| 26 | + |
| 27 | +# Parametrization over the number of nodes here only to show hat it works |
| 28 | +@pytest.mark.skipif_incompatible_mpi |
| 29 | +@MPITestAssertAllRanksEqual([1, 2, 4], debug=False) |
| 30 | +def test_global_rng(): |
| 31 | + """ |
| 32 | + Confirm that NEST random parameter used from the Python level uses globally sync'ed RNG correctly. |
| 33 | + All ranks must report identical random number sequences independent of the number of ranks. |
| 34 | +
|
| 35 | + The test compares connection data written to OTHER_LABEL. |
| 36 | + """ |
| 37 | + |
| 38 | + import nest |
| 39 | + |
| 40 | + nest.rng_seed = 12 |
| 41 | + p = nest.CreateParameter("uniform", {"min": 0, "max": 1}) |
| 42 | + |
| 43 | + # Uncomment one of the two for loops to provoke failure |
| 44 | + # for _ in range(nest.num_processes): |
| 45 | + # p.GetValue() |
| 46 | + # for _ in range(nest.Rank()): |
| 47 | + # p.GetValue() |
| 48 | + |
| 49 | + vals = pd.DataFrame([p.GetValue() for _ in range(5)]) |
| 50 | + vals.to_csv(OTHER_LABEL.format(nest.num_processes, nest.Rank()), sep="\t") # noqa: F821 |
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