1 | using HeuristicLab.Analysis.FitnessLandscape;
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2 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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3 |
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4 | namespace UnitTests {
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5 | [TestClass]
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6 | public class InformationAnalysisTest {
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7 | [TestMethod]
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8 | public void TestFeatures() {
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9 | var qualities = new double[] { 1, 2, 1, 3, 2, 4, 2, 1, 1, 2, 4, 4, 3, 1 };
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10 | var ia = new InformationAnalysis(qualities);
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11 |
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12 | Assert.AreEqual(0.8224, ia.InformationContent[0], 1e-04);
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13 | Assert.AreEqual(0.4603, ia.DensityBasinInformation[0], 1e-04);
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14 | Assert.AreEqual(0.6154, ia.PartialInformationContent[0], 1e-04);
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15 | Assert.AreEqual(0.9008, ia.TotalEntropy[0], 1e-04);
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16 | Assert.AreEqual(2, ia.InformationStability);
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17 | Assert.AreEqual(4, ia.Diversity);
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18 | Assert.AreEqual(5, ia.Regularity);
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19 | Assert.AreEqual(0.4603, ia.PeakDensityBasinInformation.Value, 1e-04);
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20 | Assert.AreEqual(0.8224, ia.PeakInformationContent.Value, 1e-04);
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21 | Assert.AreEqual(0.9008, ia.PeakTotalEntropy.Value, 1e-04);
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22 | Assert.AreEqual(0.7642, ia.SymmetricInformationContent[0], 1e-04);
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23 | Assert.AreEqual(0.2987, ia.SymmetricDensityBasinInformation[0], 1e-04);
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24 | Assert.AreEqual(0.7068, ia.SymmetricTotalEntropy[0], 1e-04);
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25 | }
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26 | }
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27 | }
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