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source: trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/RandomConvexCrossoverTest.cs @ 9416

Last change on this file since 9416 was 7259, checked in by swagner, 13 years ago

Updated year of copyrights to 2012 (#1716)

File size: 5.4 KB
RevLine 
[3742]1#region License Information
2/* HeuristicLab
[7259]3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3742]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
[4068]22using HeuristicLab.Core;
[3742]23using HeuristicLab.Encodings.RealVectorEncoding;
[6891]24using HeuristicLab.Tests;
[2936]25using Microsoft.VisualStudio.TestTools.UnitTesting;
26
[3053]27namespace HeuristicLab.Encodings.RealVectorEncoding_33.Tests {
[2936]28
29
30  /// <summary>
31  ///This is a test class for RandomConvexCrossoverTest and is intended
32  ///to contain all RandomConvexCrossoverTest Unit Tests
33  ///</summary>
34  [TestClass()]
35  public class RandomConvexCrossoverTest {
36
37
38    private TestContext testContextInstance;
39
40    /// <summary>
41    ///Gets or sets the test context which provides
42    ///information about and functionality for the current test run.
43    ///</summary>
44    public TestContext TestContext {
45      get {
46        return testContextInstance;
47      }
48      set {
49        testContextInstance = value;
50      }
51    }
52
53    #region Additional test attributes
54    //
55    //You can use the following additional attributes as you write your tests:
56    //
57    //Use ClassInitialize to run code before running the first test in the class
58    //[ClassInitialize()]
59    //public static void MyClassInitialize(TestContext testContext)
60    //{
61    //}
62    //
63    //Use ClassCleanup to run code after all tests in a class have run
64    //[ClassCleanup()]
65    //public static void MyClassCleanup()
66    //{
67    //}
68    //
69    //Use TestInitialize to run code before running each test
70    //[TestInitialize()]
71    //public void MyTestInitialize()
72    //{
73    //}
74    //
75    //Use TestCleanup to run code after each test has run
76    //[TestCleanup()]
77    //public void MyTestCleanup()
78    //{
79    //}
80    //
81    #endregion
82
83    /// <summary>
84    ///A test for Cross
85    ///</summary>
86    [TestMethod()]
[3053]87    [DeploymentItem("HeuristicLab.Encodings.RealVectorEncoding-3.3.dll")]
[2936]88    public void RandomConvexCrossoverCrossTest() {
89      RandomConvexCrossover_Accessor target = new RandomConvexCrossover_Accessor(new PrivateObject(typeof(RandomConvexCrossover)));
[3060]90      ItemArray<RealVector> parents;
[2936]91      TestRandom random = new TestRandom();
92      bool exceptionFired;
93      // The following test checks if there is an exception when there are more than 2 parents
94      random.Reset();
[3060]95      parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });
[2936]96      exceptionFired = false;
97      try {
[3060]98        RealVector actual;
[2936]99        actual = target.Cross(random, parents);
100      }
101      catch (System.ArgumentException) {
102        exceptionFired = true;
103      }
104      Assert.IsTrue(exceptionFired);
105      // The following test checks if there is an exception when there are less than 2 parents
106      random.Reset();
[3060]107      parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });
[2936]108      exceptionFired = false;
109      try {
[3060]110        RealVector actual;
[2936]111        actual = target.Cross(random, parents);
[4068]112      }
113      catch (System.ArgumentException) {
[2936]114        exceptionFired = true;
115      }
116      Assert.IsTrue(exceptionFired);
117    }
118
119    /// <summary>
120    ///A test for Apply
121    ///</summary>
122    [TestMethod()]
123    public void RandomConvexCrossoverApplyTest() {
124      TestRandom random = new TestRandom();
[3060]125      RealVector parent1, parent2, expected, actual;
[2936]126      bool exceptionFired;
127      // The following test is not based on published examples
128      random.Reset();
129      random.DoubleNumbers = new double[] { 0.3 };
[3060]130      parent1 = new RealVector(new double[] { 0.2, 0.2, 0.3, 0.5, 0.1 });
131      parent2 = new RealVector(new double[] { 0.4, 0.1, 0.3, 0.2, 0.8 });
132      expected = new RealVector(new double[] { 0.34, 0.13, 0.3, 0.29, 0.59 });
[2936]133      actual = RandomConvexCrossover.Apply(random, parent1, parent2);
[3061]134      Assert.IsTrue(Auxiliary.RealVectorIsAlmostEqualByPosition(actual, expected));
[2936]135      // The following test is not based on published examples
136      random.Reset();
137      random.DoubleNumbers = new double[] { 0.3 };
[3060]138      parent1 = new RealVector(new double[] { 0.2, 0.2, 0.3, 0.5, 0.1, 0.9 }); // this parent is longer
139      parent2 = new RealVector(new double[] { 0.4, 0.1, 0.3, 0.2, 0.8 });
[2936]140      exceptionFired = false;
141      try {
142        actual = RandomConvexCrossover.Apply(random, parent1, parent2);
[4068]143      }
144      catch (System.ArgumentException) {
[2936]145        exceptionFired = true;
146      }
147      Assert.IsTrue(exceptionFired);
148    }
149
150    /// <summary>
151    ///A test for RandomConvexCrossover Constructor
152    ///</summary>
153    [TestMethod()]
154    public void RandomConvexCrossoverConstructorTest() {
155      RandomConvexCrossover target = new RandomConvexCrossover();
156    }
157  }
158}
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