public static IDistributedParameter NormalDistributedParameter(double defaultMean = 0, double defaultDeviation = 1, double defaultPercentile = 0.5)
{
var parameter = new PKSimDistributedParameter().WithId("P1");
var pathFactory = new ObjectPathFactoryForSpecs();
var meanParameter = new PKSimParameter {
Name = Constants.Distribution.MEAN
}.WithFormula(new ConstantFormula(defaultMean).WithId("MeanFormula")).WithId("Mean");
addDimensionTo(meanParameter);
var stdParameter = new PKSimParameter {
Name = Constants.Distribution.DEVIATION
}.WithFormula(new ConstantFormula(defaultDeviation).WithId("DeviationFormula")).WithId("Deviation");
addDimensionTo(stdParameter);
var percentileParameter = new PKSimParameter {
Name = Constants.Distribution.PERCENTILE
}.WithFormula(new ConstantFormula(defaultPercentile).WithId("PercentileFormula")).WithId("Percentile");
addDimensionTo(percentileParameter);
parameter.Add(meanParameter);
parameter.Add(stdParameter);
parameter.Add(percentileParameter);
parameter.Formula = new NormalDistributionFormula().WithId("NormalDistributionFormula");
parameter.Formula.AddObjectPath(pathFactory.CreateRelativeFormulaUsablePath(parameter, meanParameter));
parameter.Formula.AddObjectPath(pathFactory.CreateRelativeFormulaUsablePath(parameter, stdParameter));
addDimensionTo(parameter);
return(parameter);
}
protected override void Context()
{
_randomGenerator = new RandomGenerator();
sut = new PKSimDistributedParameter().WithName("P");
_minValue = 5;
_maxValue = 10;
sut.Info.MinValue = _minValue;
sut.Info.MaxValue = _maxValue;
_pathFactory = new ObjectPathFactoryForSpecs();
_minimumParameter = new PKSimParameter {
Name = Constants.Distribution.MINIMUM
}.WithFormula(new ExplicitFormula("0"));
_maximumParameter = new PKSimParameter {
Name = Constants.Distribution.MAXIMUM
}.WithFormula(new ExplicitFormula("1"));
_percentileParameter = new PKSimParameter {
Name = Constants.Distribution.PERCENTILE
}.WithFormula(new ExplicitFormula("0.5"));
sut.Add(_minimumParameter);
sut.Add(_maximumParameter);
sut.Add(_percentileParameter);
_distributedFormula = new UniformDistributionFormula();
_distributedFormula.AddObjectPath(_pathFactory.CreateRelativeFormulaUsablePath(sut, _minimumParameter).WithAlias(Constants.Distribution.MINIMUM));
_distributedFormula.AddObjectPath(_pathFactory.CreateRelativeFormulaUsablePath(sut, _maximumParameter).WithAlias(Constants.Distribution.MAXIMUM));
sut.Formula = _distributedFormula;
}
protected override void Context()
{
base.Context();
_distribuedParamterDTO = A.Fake <ParameterDTO>();
A.CallTo(() => _distribuedParamterDTO.Parameter).Returns(new PKSimDistributedParameter().WithFormula(new LogNormalDistributionFormula()));
_nonDistibuedParameterDTO = A.Fake <ParameterDTO>();
A.CallTo(() => _nonDistibuedParameterDTO.Parameter).Returns(A.Fake <IParameter>());
_disrecteDistributedParameterDTO = A.Fake <ParameterDTO>();
var discretedDistributedParameter = new PKSimDistributedParameter().WithFormula(new DiscreteDistributionFormula());
A.CallTo(() => _disrecteDistributedParameterDTO.Parameter).Returns(discretedDistributedParameter);
}
protected override void Context()
{
sut = new PKSimDistributedParameter();
_pathFactory = new ObjectPathFactoryForSpecs();
_meanParameter = new PKSimParameter {
Name = Constants.Distribution.MEAN
}.WithFormula(new ExplicitFormula("10"));
_stdParameter = new PKSimParameter {
Name = Constants.Distribution.DEVIATION
}.WithFormula(new ExplicitFormula("10"));
_percentileParameter = new PKSimParameter {
Name = Constants.Distribution.PERCENTILE
}.WithFormula(new ExplicitFormula("0.5"));
sut.Add(_meanParameter);
sut.Add(_stdParameter);
sut.Add(_percentileParameter);
sut.Formula = new NormalDistributionFormula();
sut.Formula.AddObjectPath(_pathFactory.CreateRelativeFormulaUsablePath(sut, _meanParameter));
sut.Formula.AddObjectPath(_pathFactory.CreateRelativeFormulaUsablePath(sut, _stdParameter));
}
