protected override void Context()
{
_dimensionRepository = A.Fake <IDimensionRepository>();
_representationInfoRepository = A.Fake <IRepresentationInfoRepository>();
_lazyLoadTask = A.Fake <ILazyLoadTask>();
_observedcurveDataMapper = A.Fake <IDataRepositoryToObservedCurveDataMapper>();
_statisticalAnalysis = new PopulationStatisticalAnalysis();
_genderField = ChartDataHelperForSpecs.CreateGenderField();
_statisticalAnalysis.Add(_genderField);
_statisticalAnalysis.Add(_outputFieldVenousBloodPlasma);
_statisticalAnalysis.Add(_outputFieldLiverCell);
_predefinedStatisticalAggregation = new PredefinedStatisticalAggregation {
Selected = true
};
_percentileStatisticalAggregation = new PercentileStatisticalAggregation {
Selected = false, Percentile = 50
};
_statisticalAnalysis.AddStatistic(_predefinedStatisticalAggregation);
_statisticalAnalysis.AddStatistic(_percentileStatisticalAggregation);
A.CallTo(() => _representationInfoRepository.DisplayNameFor(_predefinedStatisticalAggregation)).Returns(_singlecurveId);
A.CallTo(() => _representationInfoRepository.DisplayNameFor(_percentileStatisticalAggregation)).Returns(_percentileId);
_statisticalDataCalculator = new StatisticalDataCalculator();
_pivotResultCreator = A.Fake <IPivotResultCreator>();
sut = new TimeProfileChartDataCreator(_dimensionRepository, _pivotResultCreator, _representationInfoRepository,
_statisticalDataCalculator, _lazyLoadTask, _observedcurveDataMapper);
}
protected override void Context()
{
_dimensionRepository = A.Fake <IDimensionRepository>();
_representationInfoRepository = A.Fake <IRepresentationInfoRepository>();
_lazyLoadTask = A.Fake <ILazyLoadTask>();
_observedCurveDataMapper = A.Fake <IDataRepositoryToObservedCurveDataMapper>();
_statisticalAnalysis = new PopulationStatisticalAnalysis();
_genderField = ChartDataHelperForSpecs.CreateGenderField();
_statisticalAnalysis.Add(_genderField);
_statisticalAnalysis.Add(_outputFieldVenousBloodPlasma);
_statisticalAnalysis.Add(_outputFieldLiverCell);
_predefinedStatisticalAggregation = new PredefinedStatisticalAggregation {
Selected = true
};
_percentileStatisticalAggregation = new PercentileStatisticalAggregation {
Selected = false, Percentile = 50
};
_statisticalAnalysis.AddStatistic(_predefinedStatisticalAggregation);
_statisticalAnalysis.AddStatistic(_percentileStatisticalAggregation);
A.CallTo(() => _representationInfoRepository.DisplayNameFor(_predefinedStatisticalAggregation)).Returns(_singleCurveId);
A.CallTo(() => _representationInfoRepository.DisplayNameFor(_percentileStatisticalAggregation)).Returns(_percentileId);
_statisticalDataCalculator = new StatisticalDataCalculator();
_pivotResultCreator = A.Fake <IPivotResultCreator>();
_mergedDimensionVenousBloodPlasma = DomainHelperForSpecs.ConcentrationDimensionForSpecs();
_mergedDimensionLiverCell = DomainHelperForSpecs.FractionDimensionForSpecs();
A.CallTo(() => _dimensionRepository.MergedDimensionFor(A <IWithDimension> ._))
.WhenArgumentsMatch((IWithDimension context) => Equals((context as NumericFieldContext)?.NumericValueField, _outputFieldVenousBloodPlasma))
.Returns(_mergedDimensionVenousBloodPlasma);
A.CallTo(() => _dimensionRepository.MergedDimensionFor(A <IWithDimension> ._))
.WhenArgumentsMatch((IWithDimension context) => Equals((context as NumericFieldContext)?.NumericValueField, _outputFieldLiverCell))
.Returns(_mergedDimensionLiverCell);
sut = new TimeProfileChartDataCreator(_dimensionRepository, _pivotResultCreator, _representationInfoRepository,
_statisticalDataCalculator, _lazyLoadTask, _observedCurveDataMapper);
}
protected override void Context()
{
_view = A.Fake <IEditTimeProfileAnalysisChartView>();
_timeProfilerChartPresenter = A.Fake <ITimeProfileChartPresenter>();
_timeProfileChartDataCreator = A.Fake <ITimeProfileChartDataCreator>();
_populationSimulationAnalysisStarter = A.Fake <IPopulationSimulationAnalysisStarter>();
_populationAnalysisTask = A.Fake <IPopulationAnalysisTask>();
_colorGenerator = A.Fake <IColorGenerator>();
_observedDataTask = A.Fake <IObservedDataTask>();
_pkAnalysisPresenter = A.Fake <IPopulationPKAnalysisPresenter>();
_dimensionRepository = A.Fake <IDimensionRepository>();
_presenterSettingsTask = A.Fake <IPresentationSettingsTask>();
sut = new EditTimeProfileAnalysisChartPresenter(_view, _timeProfilerChartPresenter, _timeProfileChartDataCreator,
_populationSimulationAnalysisStarter, _populationAnalysisTask, _colorGenerator, _observedDataTask, _pkAnalysisPresenter, _dimensionRepository, _presenterSettingsTask);
_timeProfileAnalysisChart = new TimeProfileAnalysisChart();
_populationStatisticalAnalysis = new PopulationStatisticalAnalysis();
_timeProfileAnalysisChart.PopulationAnalysis = _populationStatisticalAnalysis;
_populationDataCollector = A.Fake <IPopulationDataCollector>();
sut.InitializeAnalysis(_timeProfileAnalysisChart, _populationDataCollector);
_observedDataRepository = DomainHelperForSpecs.ObservedData();
var data = new DragDropInfo(
new List <ITreeNode> {
new ObservedDataNode(new ClassifiableObservedData {
Subject = _observedDataRepository
})
}
);
_dragEventArgs = new DragEventArgs(new DataObject(data), 0, 0, 0, DragDropEffects.All, DragDropEffects.All);
_chartData = new ChartData <TimeProfileXValue, TimeProfileYValue>(null, null);
var concentrationDimension = DomainHelperForSpecs.ConcentrationDimensionForSpecs();
var yAxis = new AxisData(concentrationDimension, concentrationDimension.DefaultUnit, Scalings.Linear);
_paneData = new PaneData <TimeProfileXValue, TimeProfileYValue>(yAxis);
_chartData.AddPane(_paneData);
A.CallTo(_timeProfileChartDataCreator).WithReturnType <ChartData <TimeProfileXValue, TimeProfileYValue> >().Returns(_chartData);
var outputField = new PopulationAnalysisOutputField {
Dimension = DomainHelperForSpecs.MassConcentrationDimensionForSpecs()
};
_populationStatisticalAnalysis.Add(outputField);
A.CallTo(() => _dimensionRepository.MergedDimensionFor(A <NumericFieldContext> ._)).Returns(concentrationDimension);
}
protected override void Context()
{
base.Context();
_populationSimulation = new PopulationSimulation {
SimulationSettings = new SimulationSettings {
OutputSelections = new OutputSelections()
}
};
var liverCellsDrugConc = "Liver|Cells|Drug|Conc";
_populationSimulation.OutputSelections.AddOutput(new QuantitySelection(liverCellsDrugConc, QuantityType.Drug));
_populationSimulation.OutputSelections.AddOutput(new QuantitySelection("Liver|Plasma|Drug|Conc", QuantityType.Drug));
_populationStatisticalAnalysis = new PopulationStatisticalAnalysis();
_timeProfileAnalysis = new TimeProfileAnalysisChart {
PopulationAnalysis = _populationStatisticalAnalysis
};
_outputField1 = new PopulationAnalysisOutputField {
QuantityPath = "Kidney|Cell|Drug|Conc", Name = "outputField1"
};
_derivedField1 = new PopulationAnalysisGroupingField(new NumberOfBinsGroupingDefinition(_outputField1.Name))
{
Name = "derivedField1"
};
_outputField2 = new PopulationAnalysisOutputField {
QuantityPath = liverCellsDrugConc, Name = "outputField2"
};
_derivedField2 = new PopulationAnalysisGroupingField(new NumberOfBinsGroupingDefinition(_outputField2.Name))
{
Name = "derivedField2"
};
_pkField1 = new PopulationAnalysisPKParameterField {
QuantityPath = "Kidney|Cell|Drug|Conc", Name = "pkField1"
};
_pkDerivedField1 = new PopulationAnalysisGroupingField(new NumberOfBinsGroupingDefinition(_pkField1.Name))
{
Name = "pkDerivedField1"
};
_pkField2 = new PopulationAnalysisPKParameterField {
QuantityPath = liverCellsDrugConc, Name = "pkField2"
};
_pkDerivedField2 = new PopulationAnalysisGroupingField(new NumberOfBinsGroupingDefinition(_pkField2.Name))
{
Name = "pkDerivedField2"
};
_populationStatisticalAnalysis.Add(_outputField1);
_populationStatisticalAnalysis.Add(_outputField2);
_populationStatisticalAnalysis.Add(_derivedField1);
_populationStatisticalAnalysis.Add(_derivedField2);
_populationStatisticalAnalysis.Add(_pkField1);
_populationStatisticalAnalysis.Add(_pkField2);
_populationStatisticalAnalysis.Add(_pkDerivedField1);
_populationStatisticalAnalysis.Add(_pkDerivedField2);
_populationSimulation.AddAnalysis(_timeProfileAnalysis);
}