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source: trunk/sources/HeuristicLab.Permutation/3.3/Tests/AbsolutePositionTopologicalCrossoverTest.cs @ 2879

Last change on this file since 2879 was 2854, checked in by svonolfe, 15 years ago

Ported ported permutation operators to HL 3.3 and added test cases (#889)

File size: 4.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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.Permutation;
23using Microsoft.VisualStudio.TestTools.UnitTesting;
24using HeuristicLab.Core;
25
26namespace HeuristicLab.Permutation.Tests
27{
28   
29   
30    /// <summary>
31    ///This is a test class for AbsolutePositionTopologicalCrossoverTest and is intended
32    ///to contain all AbsolutePositionTopologicalCrossoverTest Unit Tests
33    ///</summary>
34  [TestClass()]
35  public class AbsolutePositionTopologicalCrossoverTest {
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
84    /// <summary>
85    ///A test for Cross
86    ///</summary>
87    [TestMethod()]
88    [DeploymentItem("HeuristicLab.Permutation-3.3.dll")]
89    public void AbsolutePositionTopologicalCrossoverCrossTest() {
90      TestRandom random = new TestRandom();
91      AbsolutePositionTopologicalCrossover_Accessor target =
92        new AbsolutePositionTopologicalCrossover_Accessor(new PrivateObject(typeof(AbsolutePositionTopologicalCrossover)));
93      // perform a test with more than two parents
94      random.Reset();
95      bool exceptionFired = false;
96      try {
97        target.Cross(random, new ItemArray<Permutation>(new Permutation[] {
98          new Permutation(4), new Permutation(4), new Permutation(4)}));
99      } catch (System.InvalidOperationException) {
100        exceptionFired = true;
101      }
102      Assert.IsTrue(exceptionFired);
103    }
104
105    /// <summary>
106    ///A test for Apply
107    ///</summary>
108    [TestMethod()]
109    public void AbsolutePositionTopologicalCrossoverApplyTest() {
110      TestRandom random = new TestRandom();
111      Permutation parent1, parent2, expected, actual;
112      random.Reset();
113      parent1 = new Permutation(new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
114      Assert.IsTrue(parent1.Validate());
115      parent2 = new Permutation(new int[] { 1, 3, 5, 7, 6, 4, 2, 0 });
116      Assert.IsTrue(parent2.Validate());
117      expected = new Permutation(new int[] { 0, 1, 3, 2, 5, 7, 4, 6 });
118      Assert.IsTrue(expected.Validate());
119      actual = AbsolutePositionTopologicalCrossover.Apply(random, parent1, parent2);
120      Assert.IsTrue(actual.Validate());
121      Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
122
123      // perform a test when the two permutations are of unequal length
124      random.Reset();
125      bool exceptionFired = false;
126      try {
127        AbsolutePositionTopologicalCrossover.Apply(random, new Permutation(8), new Permutation(6));
128      } catch (System.ArgumentException) {
129        exceptionFired = true;
130      }
131      Assert.IsTrue(exceptionFired);
132    }
133
134    /// <summary>
135    ///A test for AbsolutePositionTopologicalCrossover Constructor
136    ///</summary>
137    [TestMethod()]
138    public void AbsolutePositionTopologicalCrossoverConstructorTest() {
139      AbsolutePositionTopologicalCrossover target = new AbsolutePositionTopologicalCrossover();
140    }
141  }
142}
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