// 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 System.ComponentModel; using Core.Common.Base.Data; using Core.Common.TestUtil; using NUnit.Framework; using Rhino.Mocks; using Ringtoets.Common.Data.Probabilistics; using Ringtoets.Common.Forms.PropertyClasses; using Ringtoets.Piping.Data; using Ringtoets.Piping.Data.TestUtil; using Ringtoets.Piping.Forms.PropertyClasses; namespace Ringtoets.Piping.Forms.Test.PropertyClasses { [TestFixture] public class LogNormalDistributionDesignVariablePropertiesTest { [Test] public void SingleParameterConstructor_DesignVariableNull_ThrowArgumentNullException() { // Call TestDelegate test = () => new LogNormalDistributionDesignVariableProperties(null); // Assert var exception = Assert.Throws(test); Assert.AreEqual("logNormalDesignVariable", exception.ParamName); } [Test] public void SingleParameterConstructor_ExpectedValues() { // Setup var distribution = new LogNormalDistribution(); var designVariable = new LogNormalDistributionDesignVariable(distribution); // Call var properties = new LogNormalDistributionDesignVariableProperties(designVariable); // Assert Assert.IsInstanceOf>(properties); Assert.AreSame(distribution, properties.Data); Assert.AreEqual(distribution.Mean, properties.Mean); Assert.AreEqual(distribution.StandardDeviation, properties.StandardDeviation); Assert.AreEqual("Lognormaal", properties.DistributionType); } [Test] public void Constructor_DesignVariableNull_ThrowArgumentNullException() { // Setup var mocks = new MockRepository(); var handler = mocks.Stub>(); mocks.ReplayAll(); PipingCalculationScenario calculation = PipingCalculationScenarioFactory.CreatePipingCalculationScenarioWithValidInput(); // Call TestDelegate test = () => new LogNormalDistributionDesignVariableProperties(DistributionPropertiesReadOnly.None, null, calculation, calculation.InputParameters, handler); // Assert var exception = Assert.Throws(test); Assert.AreEqual("logNormalDesignVariable", exception.ParamName); mocks.VerifyAll(); } [Test] public void Constructor_ExpectedValues() { // Setup var mockRepository = new MockRepository(); var handler = mockRepository.Stub>(); mockRepository.ReplayAll(); var distribution = new LogNormalDistribution(); var designVariable = new LogNormalDistributionDesignVariable(distribution); PipingCalculationScenario calculationScenario = PipingCalculationScenarioFactory.CreatePipingCalculationScenarioWithValidInput(); // Call var properties = new LogNormalDistributionDesignVariableProperties(DistributionPropertiesReadOnly.All, designVariable, calculationScenario, calculationScenario.InputParameters, handler); // Assert Assert.IsInstanceOf>(properties); Assert.AreSame(distribution, properties.Data); Assert.AreEqual(distribution.Mean, properties.Mean); Assert.AreEqual(distribution.StandardDeviation, properties.StandardDeviation); Assert.AreEqual("Lognormaal", properties.DistributionType); mockRepository.VerifyAll(); } [Test] public void Constructor_Always_PropertiesHaveExpectedAttributesValues() { // Setup var mockRepository = new MockRepository(); var handler = mockRepository.Stub>(); mockRepository.ReplayAll(); var distribution = new LogNormalDistribution(); var designVariable = new LogNormalDistributionDesignVariable(distribution); PipingCalculationScenario calculationScenario = PipingCalculationScenarioFactory.CreatePipingCalculationScenarioWithValidInput(); // Call var properties = new LogNormalDistributionDesignVariableProperties(DistributionPropertiesReadOnly.None, designVariable, calculationScenario, calculationScenario.InputParameters, handler); // Assert PropertyDescriptorCollection dynamicProperties = PropertiesTestHelper.GetAllVisiblePropertyDescriptors(properties); Assert.AreEqual(4, dynamicProperties.Count); PropertyDescriptor distributionTypeProperty = dynamicProperties[0]; PropertiesTestHelper.AssertRequiredPropertyDescriptorProperties(distributionTypeProperty, "Misc", "Type verdeling", "Het soort kansverdeling waarin deze parameter gedefinieerd wordt.", true); PropertyDescriptor meanProperty = dynamicProperties[1]; PropertiesTestHelper.AssertRequiredPropertyDescriptorProperties(meanProperty, "Misc", "Verwachtingswaarde", "De gemiddelde waarde van de lognormale verdeling."); PropertyDescriptor standardDeviationProperty = dynamicProperties[2]; PropertiesTestHelper.AssertRequiredPropertyDescriptorProperties(standardDeviationProperty, "Misc", "Standaardafwijking", "De standaardafwijking van de lognormale verdeling."); PropertyDescriptor designValueProperty = dynamicProperties[3]; PropertiesTestHelper.AssertRequiredPropertyDescriptorProperties(designValueProperty, "Misc", "Rekenwaarde", "De representatieve waarde die gebruikt wordt door de berekening.", true); mockRepository.VerifyAll(); } [Test] public void GetProperties_WithData_ReturnExpectedValues() { // Setup var mockRepository = new MockRepository(); var handler = mockRepository.Stub>(); mockRepository.ReplayAll(); var distribution = new LogNormalDistribution(2) { Mean = new RoundedDouble(2, 1), StandardDeviation = new RoundedDouble(2, 2) }; var designVariable = new LogNormalDistributionDesignVariable(distribution); PipingCalculationScenario calculationScenario = PipingCalculationScenarioFactory.CreatePipingCalculationScenarioWithValidInput(); // Call var properties = new LogNormalDistributionDesignVariableProperties(DistributionPropertiesReadOnly.None, designVariable, calculationScenario, calculationScenario.InputParameters, handler); // Assert Assert.AreEqual("Lognormaal", properties.DistributionType); Assert.AreEqual(distribution.Mean, properties.Mean); Assert.AreEqual(distribution.StandardDeviation, properties.StandardDeviation); Assert.AreEqual(designVariable.GetDesignValue(), properties.DesignValue); } [Test] [SetCulture("nl-NL")] public void ToString_Always_ReturnDistributionName() { // Setup var mockRepository = new MockRepository(); var handler = mockRepository.Stub>(); mockRepository.ReplayAll(); var distribution = new LogNormalDistribution(2) { Mean = new RoundedDouble(2, 1), StandardDeviation = new RoundedDouble(2, 2) }; var designVariable = new LogNormalDistributionDesignVariable(distribution); PipingCalculationScenario calculationScenario = PipingCalculationScenarioFactory.CreatePipingCalculationScenarioWithValidInput(); // Call var properties = new LogNormalDistributionDesignVariableProperties(DistributionPropertiesReadOnly.None, designVariable, calculationScenario, calculationScenario.InputParameters, handler); // Call var propertyName = properties.ToString(); // Assert Assert.AreEqual("0,45 (Verwachtingswaarde = 1,00, Standaardafwijking = 2,00)", propertyName); } } }