private TableFormula createTableFormulaFrom(TableFormulaParameter <IDistributedParameter> parameter, IReadOnlyList <ParameterDistributionMetaData> allDistributionsWithAgeStrictBiggerThanOriginData)
{
if (allDistributionsWithAgeStrictBiggerThanOriginData.Count == 0)
{
return(null);
}
var tableFormula = _formulaFactory.CreateDistributedTableFormula();
updateTableFormulaFrom(tableFormula, parameter.Parameter);
tableFormula.Percentile = parameter.Percentile;
if (parameter.PercentileIsInvalid)
{
throw new PKSimException(PKSimConstants.Error.CannotCreateAgingSimulationWithInvalidPercentile(_fullPathDisplayResolver.FullPathFor(parameter.Parameter), parameter.Percentile));
}
//0 because of the offset with age
tableFormula.AddPoint(0, parameter.Value, DistributionMetaData.From(parameter.Parameter));
foreach (var scaledDistribution in scaleDistributions(parameter, allDistributionsWithAgeStrictBiggerThanOriginData))
{
var age = ageWithOffsetInMin(scaledDistribution.Age, parameter.OriginData.Age.Value);
var value = valueFrom(scaledDistribution, parameter.Percentile);
tableFormula.AddPoint(age, value, DistributionMetaData.From(scaledDistribution));
}
return(tableFormula);
}
protected override Task Context()
{
_tableFormulaMapper = A.Fake <TableFormulaMapper>();
_formulaFactory = A.Fake <IFormulaFactory>();
sut = new DistributedTableFormulaMapper(_tableFormulaMapper, _formulaFactory);
_distributedTableFormula = new DistributedTableFormula();
_distributionMetaData1 = new DistributionMetaData
{
Mean = 1,
Deviation = 2,
Distribution = DistributionTypes.LogNormal
};
_distributionMetaData2 = new DistributionMetaData
{
Mean = 3,
Deviation = 4,
Distribution = DistributionTypes.Normal
};
_distributedTableFormula.AddDistributionMetaData(_distributionMetaData1);
_distributedTableFormula.AddDistributionMetaData(_distributionMetaData2);
_distributedTableFormula.Percentile = 0.8;
return(Task.FromResult(true));
}
protected override void Context()
{
base.Context();
_distributionMetaData = new DistributionMetaData {
Mean = 4, Distribution = DistributionTypes.Discrete
};
}
protected override void Context()
{
base.Context();
_distributionMetaData = new DistributionMetaData {
Deviation = 1, Mean = 4, Distribution = DistributionTypes.Uniform
};
}
protected override void Context()
{
base.Context();
_meta1 = new DistributionMetaData {
Mean = 1, Deviation = 2, Distribution = DistributionTypes.Normal
};
sut.AddPoint(10, 20, _meta1);
}
protected override void Context()
{
base.Context();
_distributionMetaData = new DistributionMetaData {
Deviation = 2, Distribution = DistributionTypes.Normal, Mean = 5
};
_result = DistributionMetaData.From(_distributionMetaData);
}
private Model.DistributionMetaData modelDistributionDataFrom(DistributionMetaData distributionMetaData)
{
return(new Model.DistributionMetaData
{
Mean = distributionMetaData.Mean,
Deviation = distributionMetaData.Deviation,
Distribution = DistributionTypes.ById(distributionMetaData.Distribution)
});
}
protected override void Context()
{
base.Context();
_meta1 = new DistributionMetaData {
Mean = 1, Deviation = 2, Distribution = DistributionTypes.Normal
};
_meta2 = new DistributionMetaData {
Mean = 3, Deviation = 4, Distribution = DistributionTypes.LogNormal
};
}
private DistributedTableFormula formulaFrom(DataRepository dataRepository)
{
var baseGrid = dataRepository.BaseGrid;
var valueColumns = dataRepository.AllButBaseGrid().ToList();
DataColumn meanColumn, deviationColumn;
if (valueColumns.Count == 1)
{
meanColumn = valueColumns[0];
//dummy deviation filled with 1 since this was not defined in the import action
deviationColumn = new DataColumn(Constants.Distribution.DEVIATION, _dimensionRepository.NoDimension, baseGrid)
{
Values = new float[baseGrid.Count].InitializeWith(1f)
};
}
else
{
meanColumn = valueColumns.Single(x => x.RelatedColumns.Any());
deviationColumn = valueColumns.Single(x => !x.RelatedColumns.Any());
}
var formula = _formulaFactory.CreateDistributedTableFormula().WithName(dataRepository.Name);
formula.InitializedWith(CoreConstants.Parameters.PMA, dataRepository.Name, baseGrid.Dimension, meanColumn.Dimension);
formula.XDisplayUnit = baseGrid.Dimension.Unit(baseGrid.DataInfo.DisplayUnitName);
formula.YDisplayUnit = meanColumn.Dimension.Unit(meanColumn.DataInfo.DisplayUnitName);
foreach (var ageValue in baseGrid.Values)
{
var mean = meanColumn.GetValue(ageValue).ToDouble();
var pma = ageValue.ToDouble();
var deviation = deviationColumn.GetValue(ageValue).ToDouble();
var distribution = new DistributionMetaData {
Mean = mean, Deviation = deviation, Distribution = DistributionTypes.LogNormal
};
formula.AddPoint(pma, mean, distribution);
}
return(formula);
}
protected override void Context()
{
base.Context();
_distributedParameter = DomainHelperForSpecs.NormalDistributedParameter();
_result = DistributionMetaData.From(_distributedParameter);
}
