1 | using HeuristicLab.Core;
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2 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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3 | using HeuristicLab.Encodings.Permutation;
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4 |
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5 | namespace HeuristicLab.Encodings.Permutation_33.Tests {
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6 | /// <summary>
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7 | ///This is a test class for OrderCrossover2Test and is intended
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8 | ///to contain all OrderCrossover2Test Unit Tests
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9 | ///</summary>
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10 | [TestClass()]
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11 | public class OrderCrossover2Test {
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12 |
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13 |
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14 | private TestContext testContextInstance;
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15 |
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16 | /// <summary>
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17 | ///Gets or sets the test context which provides
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18 | ///information about and functionality for the current test run.
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19 | ///</summary>
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20 | public TestContext TestContext {
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21 | get {
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22 | return testContextInstance;
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23 | }
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24 | set {
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25 | testContextInstance = value;
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26 | }
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27 | }
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28 |
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29 | #region Additional test attributes
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30 | //
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31 | //You can use the following additional attributes as you write your tests:
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32 | //
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33 | //Use ClassInitialize to run code before running the first test in the class
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34 | //[ClassInitialize()]
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35 | //public static void MyClassInitialize(TestContext testContext)
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36 | //{
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37 | //}
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38 | //
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39 | //Use ClassCleanup to run code after all tests in a class have run
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40 | //[ClassCleanup()]
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41 | //public static void MyClassCleanup()
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42 | //{
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43 | //}
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44 | //
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45 | //Use TestInitialize to run code before running each test
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46 | //[TestInitialize()]
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47 | //public void MyTestInitialize()
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48 | //{
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49 | //}
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50 | //
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51 | //Use TestCleanup to run code after each test has run
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52 | //[TestCleanup()]
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53 | //public void MyTestCleanup()
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54 | //{
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55 | //}
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56 | //
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57 | #endregion
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58 |
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59 |
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60 | /// <summary>
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61 | ///A test for Cross
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62 | ///</summary>
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63 | [TestMethod()]
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64 | [DeploymentItem("HeuristicLab.Encodings.Permutation-3.3.dll")]
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65 | public void OrderCrossover2CrossTest() {
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66 | TestRandom random = new TestRandom();
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67 | OrderCrossover2_Accessor target = new OrderCrossover2_Accessor(new PrivateObject(typeof(OrderCrossover2)));
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68 | random.Reset();
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69 | bool exceptionFired = false;
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70 | try {
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71 | target.Cross(random, new ItemArray<Permutation.Permutation>(new Permutation.Permutation[] {
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72 | new Permutation.Permutation(4), new Permutation.Permutation(4), new Permutation.Permutation(4)}));
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73 | } catch (System.InvalidOperationException) {
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74 | exceptionFired = true;
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75 | }
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76 | Assert.IsTrue(exceptionFired);
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77 | }
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78 |
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79 | /// <summary>
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80 | ///A test for Apply
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81 | ///</summary>
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82 | [TestMethod()]
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83 | public void OrderCrossover2ApplyTest() {
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84 | TestRandom random = new TestRandom();
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85 | Permutation.Permutation parent1, parent2, expected, actual;
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86 | // The following test is based on an example from Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press. p. 135.
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87 | random.Reset();
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88 | random.IntNumbers = new int[] { 5, 7 };
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89 | parent1 = new Permutation.Permutation(new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 });
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90 | Assert.IsTrue(parent1.Validate());
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91 | parent2 = new Permutation.Permutation(new int[] { 2, 5, 6, 0, 9, 1, 3, 8, 4, 7 });
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92 | Assert.IsTrue(parent2.Validate());
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93 | expected = new Permutation.Permutation(new int[] { 2, 0, 9, 1, 3, 5, 6, 7, 8, 4 });
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94 | Assert.IsTrue(expected.Validate());
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95 | actual = OrderCrossover2.Apply(random, parent1, parent2);
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96 | Assert.IsTrue(actual.Validate());
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97 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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98 |
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99 | // perform a test when the two permutations are of unequal length
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100 | random.Reset();
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101 | bool exceptionFired = false;
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102 | try {
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103 | OrderCrossover.Apply(random, new Permutation.Permutation(8), new Permutation.Permutation(6));
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104 | } catch (System.ArgumentException) {
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105 | exceptionFired = true;
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106 | }
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107 | Assert.IsTrue(exceptionFired);
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108 | }
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109 | }
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110 | }
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