// Copyright (C) Stichting Deltares 2016. All rights reserved. // // This file is part of Ringtoets. // // Ringtoets is free software: you can redistribute it and/or modify // it under the terms of the GNU General Public License as published by // the Free Software Foundation, either version 3 of the License, or // (at your option) any later version. // // This program is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU General Public License for more details. // // You should have received a copy of the GNU General Public License // along with this program. If not, see . // // All names, logos, and references to "Deltares" are registered trademarks of // Stichting Deltares and remain full property of Stichting Deltares at all times. // All rights reserved. using System; using Core.Common.Base.Data; using NUnit.Framework; using Ringtoets.Common.Data.Probabilistics; namespace Ringtoets.Common.Data.Test.Probabilistics { [TestFixture] public class NormalDistributionDesignVariableTest { [Test] public void ParameterdConstructor_ValidLogNormalDistribution_ExpectedValues() { // Setup var normalDistribution = new NormalDistribution(3); // Call var designValue = new NormalDistributionDesignVariable(normalDistribution); // Assert Assert.AreSame(normalDistribution, designValue.Distribution); Assert.AreEqual(0.5, designValue.Percentile); } /// /// Tests the /// against the values calculated with the excel sheet in WTI-33 (timestamp: 27-11-2015 10:27). /// /// MEAN. /// VARIANCE. /// Percentile. /// Rekenwaarde. [Test] [TestCase(75, 70, 0.95, 88.76183279)] [TestCase(75, 70, 0.5, 75)] [TestCase(75, 70, 0.05, 61.23816721)] [TestCase(75, 123.45, 0.95, 93.27564881)] [TestCase(75, 1.2345, 0.95, 76.82756488)] [TestCase(123.45, 70, 0.95, 137.2118328)] [TestCase(1.2345, 70, 0.95, 14.99633279)] public void GetDesignVariable_ValidNormalDistribution_ReturnExpectedValue( double expectedValue, double variance, double percentile, double expectedResult) { // Setup var normalDistribution = new NormalDistribution(4) { Mean = (RoundedDouble) expectedValue, StandardDeviation = (RoundedDouble) Math.Sqrt(variance) }; var designVariable = new NormalDistributionDesignVariable(normalDistribution) { Percentile = percentile }; // Call double result = designVariable.GetDesignValue(); // Assert Assert.AreEqual(expectedResult, result, 1e-4); } } }