// Copyright (C) Stichting Deltares and State of the Netherlands 2024. All rights reserved. // // This file is part of Riskeer. // // Riskeer 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.Collections.Generic; using Core.Common.Data.TestUtil; using NUnit.Framework; using Riskeer.Common.Data.TestUtil.IllustrationPoints; using Riskeer.Piping.Data.Probabilistic; using Riskeer.Piping.Data.TestUtil; namespace Riskeer.Piping.Data.Test.Probabilistic { [TestFixture] public class ProbabilisticPipingCalculationTest { [Test] public void Constructor_ExpectedValues() { // Call var calculation = new TestProbabilisticPipingCalculation(); // Assert Assert.IsInstanceOf>(calculation); Assert.IsInstanceOf(calculation.InputParameters); Assert.IsNull(calculation.Output); } [Test] [TestCaseSource(nameof(GetCalculations))] public void ShouldCalculate_Always_ReturnsExpectedValue(ProbabilisticPipingCalculation calculation, bool expectedShouldCalculate) { // Call bool shouldCalculate = calculation.ShouldCalculate; // Assert Assert.AreEqual(expectedShouldCalculate, shouldCalculate); } [Test] public void HasOutput_OutputNull_ReturnsFalse() { // Setup var calculation = new TestProbabilisticPipingCalculation { Output = null }; // Call bool hasOutput = calculation.HasOutput; // Assert Assert.IsFalse(hasOutput); } [Test] public void HasOutput_OutputSet_ReturnsTrue() { // Setup var calculation = new TestProbabilisticPipingCalculation { Output = PipingTestDataGenerator.GetRandomProbabilisticPipingOutputWithIllustrationPoints() }; // Call bool hasOutput = calculation.HasOutput; // Assert Assert.IsTrue(hasOutput); } [Test] public void ClearIllustrationPoints_CalculationWithOutput_ClearsIllustrationPointResult() { // Setup PartialProbabilisticPipingOutput sectionSpecificOutput = PipingTestDataGenerator.GetRandomPartialProbabilisticPipingOutput(); PartialProbabilisticPipingOutput profileSpecificOutput = PipingTestDataGenerator.GetRandomPartialProbabilisticPipingOutput(); var output = new ProbabilisticPipingOutput(sectionSpecificOutput, profileSpecificOutput); var calculation = new TestProbabilisticPipingCalculation { Output = output }; // Call calculation.ClearIllustrationPoints(); // Assert Assert.AreSame(output, calculation.Output); Assert.IsNull(((PartialProbabilisticPipingOutput) output.SectionSpecificOutput).GeneralResult); Assert.IsNull(((PartialProbabilisticPipingOutput) output.ProfileSpecificOutput).GeneralResult); } [Test] public void ClearIllustrationPoints_CalculationWithoutOutput_DoesNotThrow() { // Setup var calculation = new TestProbabilisticPipingCalculation(); // Call void Call() => calculation.ClearIllustrationPoints(); // Assert Assert.DoesNotThrow(Call); } [Test] public void ClearOutput_Always_SetsOutputToNull() { // Setup var calculation = new TestProbabilisticPipingCalculation { Output = PipingTestDataGenerator.GetRandomProbabilisticPipingOutputWithIllustrationPoints() }; // Call calculation.ClearOutput(); // Assert Assert.IsNull(calculation.Output); } [Test] public void Clone_AllPropertiesSet_ReturnNewInstanceWithCopiedValues() { // Setup ProbabilisticPipingCalculation original = CreateRandomCalculationWithoutOutput(); original.Output = PipingTestDataGenerator.GetRandomProbabilisticPipingOutputWithIllustrationPoints(); // Call object clone = original.Clone(); // Assert CoreCloneAssert.AreObjectClones(original, clone, PipingCloneAssert.AreClones); } [Test] public void Clone_NotAllPropertiesSet_ReturnNewInstanceWithCopiedValues() { // Setup ProbabilisticPipingCalculation original = CreateRandomCalculationWithoutOutput(); // Call object clone = original.Clone(); // Assert CoreCloneAssert.AreObjectClones(original, clone, PipingCloneAssert.AreClones); } private static IEnumerable GetCalculations() { yield return new TestCaseData(new TestProbabilisticPipingCalculation(), true) .SetName("WithoutOutput"); yield return new TestCaseData(new TestProbabilisticPipingCalculation { Output = PipingTestDataGenerator.GetRandomProbabilisticPipingOutputWithIllustrationPoints() }, true).SetName("WithOutputButShouldNotHaveIllustrationPoints"); yield return new TestCaseData(new TestProbabilisticPipingCalculation { InputParameters = { ShouldSectionSpecificIllustrationPointsBeCalculated = true, ShouldProfileSpecificIllustrationPointsBeCalculated = true }, Output = PipingTestDataGenerator.GetRandomProbabilisticPipingOutputWithIllustrationPoints() }, false).SetName("WithOutputAndIllustrationPoints"); yield return new TestCaseData(new TestProbabilisticPipingCalculation { InputParameters = { ShouldSectionSpecificIllustrationPointsBeCalculated = false, ShouldProfileSpecificIllustrationPointsBeCalculated = true }, Output = PipingTestDataGenerator.GetRandomProbabilisticPipingOutputWithIllustrationPoints() }, true).SetName("WithOutputAndPartialIllustrationPoints1"); yield return new TestCaseData(new TestProbabilisticPipingCalculation { InputParameters = { ShouldSectionSpecificIllustrationPointsBeCalculated = true, ShouldProfileSpecificIllustrationPointsBeCalculated = false }, Output = PipingTestDataGenerator.GetRandomProbabilisticPipingOutputWithIllustrationPoints() }, true).SetName("WithOutputAndPartialIllustrationPoints2"); yield return new TestCaseData(new TestProbabilisticPipingCalculation { InputParameters = { ShouldSectionSpecificIllustrationPointsBeCalculated = true, ShouldProfileSpecificIllustrationPointsBeCalculated = false }, Output = new ProbabilisticPipingOutput( PipingTestDataGenerator.GetRandomPartialProbabilisticPipingOutput(), PipingTestDataGenerator.GetRandomPartialProbabilisticPipingOutput(null)) }, false).SetName("WithOutputAndPartialIllustrationPoints3"); yield return new TestCaseData(new TestProbabilisticPipingCalculation { InputParameters = { ShouldSectionSpecificIllustrationPointsBeCalculated = false, ShouldProfileSpecificIllustrationPointsBeCalculated = true }, Output = new ProbabilisticPipingOutput( PipingTestDataGenerator.GetRandomPartialProbabilisticPipingOutput(null), PipingTestDataGenerator.GetRandomPartialProbabilisticPipingOutput()) }, false).SetName("WithOutputAndPartialIllustrationPoints4"); yield return new TestCaseData(new TestProbabilisticPipingCalculation { InputParameters = { ShouldSectionSpecificIllustrationPointsBeCalculated = false, ShouldProfileSpecificIllustrationPointsBeCalculated = false }, Output = new ProbabilisticPipingOutput( PipingTestDataGenerator.GetRandomPartialProbabilisticPipingOutput(null), PipingTestDataGenerator.GetRandomPartialProbabilisticPipingOutput(null)) }, false).SetName("WithOutputWithoutIllustrationPoints"); } private static ProbabilisticPipingCalculation CreateRandomCalculationWithoutOutput() { var calculation = new TestProbabilisticPipingCalculation { Name = "Random name", Comments = { Body = "Random body" } }; PipingTestDataGenerator.SetRandomDataToPipingInput(calculation.InputParameters); return calculation; } } }