// Copyright (C) Stichting Deltares 2017. 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.Collections.Generic;
using NUnit.Framework;
using Ringtoets.Common.Data.Probabilistics;
using Ringtoets.Common.Data.TestUtil;
using Ringtoets.Common.IO.Exceptions;
using Ringtoets.Common.IO.SoilProfile;
using Ringtoets.MacroStabilityInwards.Data.SoilProfile;
using Ringtoets.MacroStabilityInwards.IO.SoilProfiles;
namespace Ringtoets.MacroStabilityInwards.IO.Test.SoilProfiles
{
[TestFixture]
public class MacroStabilityInwardsPreconsolidationStressTransformerTest
{
[Test]
public void Transform_PreconsolidationStressNull_ThrowsArgumentNullException()
{
// Call
TestDelegate call = () => MacroStabilityInwardsPreconsolidationStressTransformer.Transform(null);
// Assert
var exception = Assert.Throws(call);
Assert.AreEqual("preconsolidationStress", exception.ParamName);
}
[Test]
public void Transform_ValidPreconsolidationStress_ReturnMacroStabilityInwardsPreconsolidationStress()
{
// Setup
var random = new Random(21);
var preconsolidationStress = new PreconsolidationStress
{
XCoordinate = random.NextDouble(),
ZCoordinate = random.NextDouble(),
StressDistributionType = 3,
StressMean = random.NextDouble(),
StressCoefficientOfVariation = random.NextDouble(),
StressShift = 0
};
// Call
MacroStabilityInwardsPreconsolidationStress transformedStress =
MacroStabilityInwardsPreconsolidationStressTransformer.Transform(preconsolidationStress);
// Assert
Assert.AreEqual(preconsolidationStress.XCoordinate, transformedStress.Location.X);
Assert.AreEqual(preconsolidationStress.ZCoordinate, transformedStress.Location.Y);
VariationCoefficientLogNormalDistribution transformedPreconsolidationStressDistribution = transformedStress.Stress;
Assert.AreEqual(preconsolidationStress.StressMean, transformedPreconsolidationStressDistribution.Mean,
transformedPreconsolidationStressDistribution.GetAccuracy());
Assert.AreEqual(preconsolidationStress.StressCoefficientOfVariation,
transformedPreconsolidationStressDistribution.CoefficientOfVariation,
transformedPreconsolidationStressDistribution.GetAccuracy());
}
[Test]
[TestCaseSource(nameof(GetPreconsolidationStressCombinationWithNaNValues))]
public void Transform_PreconsolidationStressValuesNaN_ThrowsImportedDataTransformException(
PreconsolidationStress preconsolidationStress,
string parameterName)
{
// Call
TestDelegate call = () => MacroStabilityInwardsPreconsolidationStressTransformer.Transform(preconsolidationStress);
// Assert
var exception = Assert.Throws(call);
string expectedMessage = $"De waarde voor parameter '{parameterName}' voor de grensspanning moet een concreet getal zijn.";
Assert.AreEqual(expectedMessage, exception.Message);
Assert.IsInstanceOf(exception.InnerException);
}
[Test]
[TestCaseSource(nameof(GetPreconsolidationStressInvalidDistributionValues))]
public void Transform_InvalidPreconsolidationStressDistributionValues_ThrowsImportedDataTransformException(PreconsolidationStress preconsolidationStress)
{
// Call
TestDelegate call = () => MacroStabilityInwardsPreconsolidationStressTransformer.Transform(preconsolidationStress);
// Assert
var exception = Assert.Throws(call);
Assert.AreEqual("Parameter 'Grensspanning' moet lognormaal verdeeld zijn met een verschuiving gelijk aan 0.", exception.Message);
Assert.IsInstanceOf(exception.InnerException);
}
[Test]
public void Transform_InvalidStochasticDistributionType_ThrowsImportedDataTransformException()
{
// Setup
var random = new Random(21);
var preconsolidationStress = new PreconsolidationStress
{
StressDistributionType = random.Next(3, int.MaxValue),
StressShift = 0
};
// Call
TestDelegate call = () => MacroStabilityInwardsPreconsolidationStressTransformer.Transform(preconsolidationStress);
// Assert
var exception = Assert.Throws(call);
Assert.AreEqual("Parameter 'Grensspanning' moet lognormaal verdeeld zijn.", exception.Message);
}
[Test]
public void Transform_InvalidStochasticDistributionShift_ThrowsImportedDataTransformException()
{
// Setup
var random = new Random(21);
var preconsolidationStress = new PreconsolidationStress
{
StressDistributionType = 3,
StressShift = random.NextDouble()
};
// Call
TestDelegate call = () => MacroStabilityInwardsPreconsolidationStressTransformer.Transform(preconsolidationStress);
// Assert
var exception = Assert.Throws(call);
Assert.AreEqual("Parameter 'Grensspanning' moet lognormaal verdeeld zijn met een verschuiving gelijk aan 0.", exception.Message);
}
private static IEnumerable GetPreconsolidationStressInvalidDistributionValues()
{
var random = new Random(21);
const double preconsolidationStressMean = 0.005;
yield return new TestCaseData(new PreconsolidationStress
{
XCoordinate = random.NextDouble(),
ZCoordinate = random.NextDouble(),
StressMean = -1,
StressCoefficientOfVariation = random.NextDouble()
}).SetName("Invalid Mean");
yield return new TestCaseData(new PreconsolidationStress
{
XCoordinate = random.NextDouble(),
ZCoordinate = random.NextDouble(),
StressMean = preconsolidationStressMean,
StressCoefficientOfVariation = -1
}).SetName("Invalid Coefficient of Variation");
}
private static IEnumerable GetPreconsolidationStressCombinationWithNaNValues()
{
var random = new Random(21);
double xCoordinate = random.NextDouble();
double zCoordinate = random.NextDouble();
const double preconsolidationStressMean = 0.005;
double preconsolidationStressCoefficientOfVariation = random.NextDouble();
yield return new TestCaseData(new PreconsolidationStress
{
XCoordinate = double.NaN,
ZCoordinate = zCoordinate,
StressMean = preconsolidationStressMean,
StressCoefficientOfVariation = preconsolidationStressCoefficientOfVariation
}, "X-coördinaat").SetName("XCoordinate NaN");
yield return new TestCaseData(new PreconsolidationStress
{
XCoordinate = xCoordinate,
ZCoordinate = double.NaN,
StressMean = preconsolidationStressMean,
StressCoefficientOfVariation = preconsolidationStressCoefficientOfVariation
}, "Z-coördinaat").SetName("ZCoordinate NaN");
}
}
}