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source: branches/OptimizationNetworks/HeuristicLab.Tests/HeuristicLab.Encodings.IntegerVectorEncoding-3.3/UniformOnePositionManipulatorTest.cs @ 12214

Last change on this file since 12214 was 11576, checked in by swagner, 10 years ago

#2205: Merged changes r11062:11557 from trunk/sources into branches/OptimizationNetworks

File size: 2.1 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Data;
23using HeuristicLab.Tests;
24using Microsoft.VisualStudio.TestTools.UnitTesting;
25
26namespace HeuristicLab.Encodings.IntegerVectorEncoding.Tests {
27  /// <summary>
28  ///This is a test class for UniformOnePositionManipulator and is intended
29  ///to contain all UniformOnePositionManipulator Unit Tests
30  ///</summary>
31  [TestClass()]
32  public class UniformOnePositionManipulatorTest {
33    /// <summary>
34    ///A test for Apply
35    ///</summary>
36    [TestMethod()]
37    [TestCategory("Encodings.IntegerVector")]
38    [TestProperty("Time", "short")]
39    public void UniformOnePositionManipulatorApplyTest() {
40      TestRandom random = new TestRandom();
41      IntegerVector parent, expected;
42      IntMatrix bounds = new IntMatrix(1, 2);
43      // The following test is not based on published examples
44      random.Reset();
45      random.IntNumbers = new int[] { 3, 3 };
46      parent = new IntegerVector(new int[] { 2, 2, 3, 5, 1 });
47      expected = new IntegerVector(new int[] { 2, 2, 3, 3, 1 });
48      bounds[0, 0] = 2;
49      bounds[0, 1] = 7;
50      UniformOnePositionManipulator.Apply(random, parent, bounds);
51      Assert.IsTrue(Auxiliary.IntegerVectorIsEqualByPosition(expected, parent));
52    }
53  }
54}
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