Author: bugman
Date: Fri Jun 26 10:36:14 2015
New Revision: 27864
URL: http://svn.gna.org/viewcvs/relax?rev=27864&view=rev
Log:
Addition of the file which should have been committed in the last commit
(r27863).
Added:
trunk/test_suite/unit_tests/_lib/test_statistics.py
Added: trunk/test_suite/unit_tests/_lib/test_statistics.py
URL:
http://svn.gna.org/viewcvs/relax/trunk/test_suite/unit_tests/_lib/test_statistics.py?rev=27864&view=auto
==============================================================================
--- trunk/test_suite/unit_tests/_lib/test_statistics.py (added)
+++ trunk/test_suite/unit_tests/_lib/test_statistics.py Fri Jun 26 10:36:14 2015
@@ -0,0 +1,35 @@
+###############################################################################
+# #
+# Copyright (C) 2007-2013 Edward d'Auvergne #
+# #
+# This file is part of the program relax (http://www.nmr-relax.com). #
+# #
+# This program 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 3 of the License, or #
+# (at your option) any later version. #
+# #
+# This program 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 this program. If not, see <http://www.gnu.org/licenses/>. #
+# #
+###############################################################################
+
+# relax module imports.
+from lib.statistics import geometric_mean
+from test_suite.unit_tests.base_classes import UnitTestCase
+
+
+class Test_statistics(UnitTestCase):
+ """Unit tests for the functions of the 'lib.statistics' module."""
+
+ def test_geometric_mean(self):
+ """Check the geometric mean value of 4 for the values [2, 8]."""
+
+ # Calculate the mean and check it.
+ mean = geometric_mean(values=[2, 8])
+ self.assertEqual(mean, 4.0)
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