/// <summary>
/// Asserts whether the values of a distribution are correctly set
/// to another distribution.
/// </summary>
/// <param name="distributionToAssert">The distribution to assert.</param>
/// <param name="setDistribution">The distribution which was used to set the properties.</param>
/// <param name="expectedDistribution">The expected distribution.</param>
/// <exception cref="AssertionException">Thrown when:
/// <list type="bullet">
/// <item>The <paramref name="distributionToAssert"/> and <paramref name="setDistribution"/>
/// are the same reference.</item>
/// <item>The values of the <paramref name="setDistribution"/> do not match with the
/// <paramref name="expectedDistribution"/>.</item>
/// </list></exception>
public static void AssertDistributionCorrectlySet(IVariationCoefficientDistribution distributionToAssert,
IVariationCoefficientDistribution setDistribution,
IVariationCoefficientDistribution expectedDistribution)
{
Assert.AreNotSame(setDistribution, distributionToAssert);
DistributionAssert.AreEqual(expectedDistribution, distributionToAssert);
}
/// <summary>
/// Determines if the properties of the actual <see cref="IVariationCoefficientDistribution"/> are the same as
/// the expected <see cref="IVariationCoefficientDistribution"/>.
/// </summary>
/// <param name="expectedDistribution">The expected <see cref="IVariationCoefficientDistribution"/>.</param>
/// <param name="actualDistribution">The actual <see cref="IVariationCoefficientDistribution"/>.</param>
/// <exception cref="AssertionException">Thrown when the following differences are found between
/// the <paramref name="expectedDistribution"/> and <paramref name="actualDistribution"/>:
/// <list type="bullet">
/// <item>The probabilistic distribution types.</item>
/// <item>The values for the mean and/or the variation.</item>
/// <item>The precision for the mean and/or the variation.</item>
/// </list></exception>
public static void AreEqual(IVariationCoefficientDistribution expectedDistribution, IVariationCoefficientDistribution actualDistribution)
{
Assert.AreEqual(expectedDistribution.GetType(), actualDistribution.GetType());
AreEqualValue(expectedDistribution.Mean, actualDistribution.Mean);
AreEqualValue(expectedDistribution.CoefficientOfVariation, actualDistribution.CoefficientOfVariation);
}
/// <summary>
/// Attempts to set <see cref="IVariationCoefficientDistribution.CoefficientOfVariation"/>.
/// </summary>
/// <param name="distribution">The <see cref="IVariationCoefficientDistribution"/> to be updated.</param>
/// <param name="variationCoefficient">The new value for <see cref="IVariationCoefficientDistribution.CoefficientOfVariation"/>.</param>
/// <param name="stochastName">The descriptive name of <paramref name="distribution"/>.</param>
/// <param name="calculationName">The name of the calculation to which <paramref name="distribution"/>
/// is associated.</param>
/// <returns><c>true</c> if setting <see cref="IVariationCoefficientDistribution.CoefficientOfVariation"/>
/// was successful, <c>false</c> otherwise.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="distribution"/>
/// is <c>null</c>.</exception>
public static bool TrySetVariationCoefficient(this IVariationCoefficientDistribution distribution, double?variationCoefficient,
string stochastName, string calculationName)
{
if (distribution == null)
{
throw new ArgumentNullException(nameof(distribution));
}
if (variationCoefficient.HasValue)
{
try
{
distribution.CoefficientOfVariation = (RoundedDouble)variationCoefficient.Value;
}
catch (ArgumentOutOfRangeException e)
{
string errorMessage = string.Format(
Resources.IVariationCoefficientDistributionExtensions_TrySetVariationCoefficient_VariationCoefficient_0_is_invalid_for_Stochast_1_,
variationCoefficient, stochastName);
LogOutOfRangeException(errorMessage,
calculationName,
e);
return(false);
}
}
return(true);
}
/// <summary>
/// Attempts to set the parameters of an <see cref="IVariationCoefficientDistribution"/>.
/// </summary>
/// <param name="distribution">The <see cref="IVariationCoefficientDistribution"/> to be updated.</param>
/// <param name="configuration">The configuration containing the new values for
/// <see cref="IVariationCoefficientDistribution.Mean"/> and <see cref="IVariationCoefficientDistribution.CoefficientOfVariation"/>.</param>
/// <param name="stochastName">The descriptive name of <paramref name="distribution"/>.</param>
/// <param name="calculationName">The name of the calculation to which <paramref name="distribution"/>
/// is associated.</param>
/// <returns><c>true</c> if setting all properties was successful, <c>false</c> otherwise.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="distribution"/>
/// is <c>null</c>.</exception>
public static bool TrySetDistributionProperties(this IVariationCoefficientDistribution distribution,
StochastConfiguration configuration,
string stochastName, string calculationName)
{
return(distribution.TrySetMean(configuration.Mean, stochastName, calculationName) &&
distribution.TrySetVariationCoefficient(configuration.VariationCoefficient, stochastName, calculationName));
}
/// <summary>
/// Attempts to set the parameters of an <see cref="IVariationCoefficientDistribution"/>.
/// </summary>
/// <param name="distribution">The <see cref="IVariationCoefficientDistribution"/> to be updated.</param>
/// <param name="mean">The new value for <see cref="IVariationCoefficientDistribution.Mean"/>.</param>
/// <param name="variationCoefficient">The new value for <see cref="IVariationCoefficientDistribution.CoefficientOfVariation"/>.</param>
/// <param name="stochastName">The descriptive name of <paramref name="distribution"/>.</param>
/// <param name="calculationName">The name of the calculation to which <paramref name="distribution"/>
/// is associated.</param>
/// <returns><c>true</c> if setting all properties was successful, <c>false</c> otherwise.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="distribution"/>
/// is <c>null</c>.</exception>
public static bool TrySetDistributionProperties(this IVariationCoefficientDistribution distribution,
double?mean, double?variationCoefficient,
string stochastName, string calculationName)
{
return(distribution.TrySetMean(mean, stochastName, calculationName) &&
distribution.TrySetVariationCoefficient(variationCoefficient, stochastName, calculationName));
}
/// <summary>
/// Indicator whether the <paramref name="pop"/> is valid.
/// </summary>
/// <param name="pop">The pop to validate.</param>
/// <returns><c>true</c> when has no <see cref="RoundedDouble.NaN"/> values; <c>false</c> otherwise.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="pop"/> is <c>null</c>.</exception>
public static bool HasValidPop(IVariationCoefficientDistribution pop)
{
if (pop == null)
{
throw new ArgumentNullException(nameof(pop));
}
return(pop.Mean != RoundedDouble.NaN &&
pop.CoefficientOfVariation != RoundedDouble.NaN);
}
/// <summary>
/// Configure a new <see cref="StochastConfiguration"/> with
/// <see cref="StochastConfiguration.Mean"/> taken from
/// <paramref name="distribution"/>.
/// </summary>
/// <param name="distribution">The distribution to take the values from.</param>
/// <returns>A new <see cref="StochastConfiguration"/> with
/// <see cref="StochastConfiguration.Mean"/> set.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="distribution"/> is <c>null</c>.</exception>
public static StochastConfiguration ToStochastConfigurationWithMean(this IVariationCoefficientDistribution distribution)
{
if (distribution == null)
{
throw new ArgumentNullException(nameof(distribution));
}
return(new StochastConfiguration
{
Mean = distribution.Mean
});
}
public void ToStochastConfigurationWithVariationCoefficient_DistributionNull_ThrowsArgumentNullException()
{
// Setup
IVariationCoefficientDistribution distribution = null;
// Call
TestDelegate test = () => distribution.ToStochastConfigurationWithVariationCoefficient();
// Assert
var exception = Assert.Throws <ArgumentNullException>(test);
Assert.AreEqual("distribution", exception.ParamName);
}
/// <summary>
/// Creates a new instance of <see cref="PersistableStochasticParameter"/>.
/// </summary>
/// <param name="distribution">The distribution to create the
/// <see cref="PersistableStochasticParameter"/> for.</param>
/// <param name="isProbabilistic">Indicator whether the
/// <see cref="PersistableStochasticParameter"/> is probabilistic.</param>
/// <returns>The created <see cref="PersistableStochasticParameter"/>.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="distribution"/>
/// is <c>null</c>.</exception>
/// <remarks><paramref name="isProbabilistic"/> is default set to <c>true</c>.</remarks>
public static PersistableStochasticParameter Create(IVariationCoefficientDistribution distribution, bool isProbabilistic = true)
{
if (distribution == null)
{
throw new ArgumentNullException(nameof(distribution));
}
return(new PersistableStochasticParameter
{
IsProbabilistic = isProbabilistic,
Mean = distribution.Mean,
StandardDeviation = GetStandardDeviation(distribution)
});
}
public void TrySetVariationCoefficient_VariationCoefficientDistributionNull_ThrownArgumentNullException()
{
// Setup
IVariationCoefficientDistribution distribution = null;
const double mean = 1.1;
// Call
TestDelegate call = () => distribution.TrySetVariationCoefficient(mean, "A", "B");
// Assert
string paramName = Assert.Throws <ArgumentNullException>(call).ParamName;
Assert.AreEqual("distribution", paramName);
}
private static double GetStandardDeviation(IVariationCoefficientDistribution distribution)
{
return(distribution.Mean * distribution.CoefficientOfVariation);
}
/// <summary>
/// Asserts whether the <see cref="PersistableStochasticParameter"/> contains the data
/// that is representative for the <paramref name="distribution"/>.
/// </summary>
/// <param name="distribution">The distribution that contains the original data.</param>
/// <param name="stochasticParameter">The <see cref="PersistableStochasticParameter"/>
/// that needs to be asserted.</param>
/// <param name="expectedIsProbabilistic">The expected value for <see cref="PersistableStochasticParameter.IsProbabilistic"/>.</param>
/// <exception cref="AssertionException">Thrown when the data in <paramref name="stochasticParameter"/>
/// is not correct.</exception>
public static void AssertStochasticParameter(IVariationCoefficientDistribution distribution, PersistableStochasticParameter stochasticParameter, bool expectedIsProbabilistic = true)
{
Assert.AreEqual(distribution.Mean.Value, stochasticParameter.Mean);
Assert.AreEqual(distribution.Mean * distribution.CoefficientOfVariation, stochasticParameter.StandardDeviation);
Assert.AreEqual(expectedIsProbabilistic, stochasticParameter.IsProbabilistic);
}
/// <summary>
/// Gets the accuracy for a <see cref="IVariationCoefficientDistribution"/>.
/// </summary>
/// <remarks>Assumes that all the parameters of the distribution share the same accuracy.</remarks>
public static double GetAccuracy(this IVariationCoefficientDistribution distribution)
{
return(distribution.Mean.GetAccuracy());
}
private static int GetNumberOfDecimals(IVariationCoefficientDistribution distribution)
{
return(distribution.Mean.NumberOfDecimalPlaces);
}
