protected override void Context()
{
base.Context();
_distributionMetaData = new DistributionMetaData {
Deviation = 2, Distribution = DistributionTypes.Normal, Mean = 5
};
_result = DistributionMetaData.From(_distributionMetaData);
}
public static DistributionMetaData From(IDistributionMetaData distributionMetaData)
{
return(new DistributionMetaData
{
Mean = distributionMetaData.Mean,
Deviation = distributionMetaData.Deviation,
Distribution = distributionMetaData.Distribution
});
}
public IDistributionFormula CreateFor(IDistributionMetaData distribution, IDistributedParameter parameter)
{
foreach (var factory in _allDistributionFactory)
{
if (factory.IsSatisfiedBy(distribution))
{
return(factory.CreateFor(distribution, parameter));
}
}
throw new DistributionNotFoundException(distribution);
}
public IDistributionFormula CreateFor(IDistributionMetaData distribution, IDistributedParameter parameter)
{
var minParameter = parameter.Parameter(Constants.Distribution.MINIMUM);
var maxParameter = parameter.Parameter(Constants.Distribution.MAXIMUM);
var distributionMetaData = distribution as ParameterDistributionMetaData;
if (distributionMetaData != null)
{
minParameter.Value = distributionMetaData.MinValue.Value;
maxParameter.Value = distributionMetaData.MaxValue.Value;
}
return(_distributionFormulaFactory.CreateUniformDistributionFormulaFor(parameter, minParameter, maxParameter));
}
public IDistribution MapFrom(IDistributionMetaData distributionMetaData)
{
if (distributionMetaData.Distribution == DistributionTypes.Normal)
{
return(new NormalDistribution(distributionMetaData.Mean, distributionMetaData.Deviation));
}
if (distributionMetaData.Distribution == DistributionTypes.LogNormal)
{
return(new LogNormalDistribution(Math.Log(distributionMetaData.Mean), distributionMetaData.Deviation));
}
if (distributionMetaData.Distribution == DistributionTypes.Discrete)
{
return(new NormalDistribution(distributionMetaData.Mean, 0));
}
throw new ArgumentException(string.Format("Cannot create distribution for meta data '{0}'", distributionMetaData.Distribution), "distributionMetaData");
}
public bool IsSatisfiedBy(IDistributionMetaData distribution)
{
return(distribution.Distribution == DistributionTypes.Uniform);
}
public IDistributionFormula CreateFor(IDistributionMetaData distribution, IDistributedParameter parameter)
{
return(_objectBaseFactory.Create <UnknownDistributionFormula>());
}
public DistributionNotFoundException(IDistributionMetaData distributionMetaData) :
base(PKSimConstants.Error.DistributionUnknown(distributionMetaData.Distribution.Id))
{
}
public bool IsSatisfiedBy(IDistributionMetaData distribution) => distribution.Distribution == DistributionTypes.LogNormal;
public IDistributionFormula CreateFor(IDistributionMetaData distribution, IDistributedParameter parameter)
{
parameter.MeanParameter.Value = distribution.Mean;
parameter.DeviationParameter.Value = distribution.Deviation;
return(_distributionFormulaFactory.CreateLogNormalDistributionFormulaFor(parameter, parameter.MeanParameter, parameter.DeviationParameter));
}
public bool IsSatisfiedBy(IDistributionMetaData distribution) => distribution.Distribution == DistributionTypes.Discrete;
protected override void Context()
{
sut = new DistributionMetaDataToDistributionMapper();
_distributionMetaData = new DistributionMetaData();
}
public void UpdateFrom(IDistributionMetaData distributionMetaData)
{
Mean = distributionMetaData.Mean;
Deviation = distributionMetaData.Deviation;
Distribution = distributionMetaData.Distribution;
}