protected override void Context()
{
base.Context();
_statisticalAnalysis.SetPosition(_outputFieldVenousBloodPlasma, PivotArea.DataArea, 0);
_statisticalAnalysis.Statistics.Each(s => s.Selected = false);
_pivotResult = ChartDataHelperForSpecs.CreateOutputResults(_statisticalAnalysis, _genderField, _outputFieldVenousBloodPlasma, _outputFieldLiverCell);
}
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()
{
base.Context();
_observedCurveDataList = new List <ObservedCurveData>();
_observedCurveData = new ObservedCurveData(AuxiliaryType.Undefined)
{
Caption = "Male"
};
_observedCurveDataList.Add(_observedCurveData);
_observedCurveData.Color = Color.Aqua;
A.CallTo(_observedCurveDataMapper).WithReturnType <IReadOnlyList <ObservedCurveData> >().Returns(_observedCurveDataList);
_statisticalAnalysis.SetPosition(_genderField, PivotArea.RowArea, 0);
_statisticalAnalysis.SetPosition(_outputFieldVenousBloodPlasma, PivotArea.DataArea, 0);
_statisticalAnalysis.SetPosition(_outputFieldLiverCell, PivotArea.DataArea, 1);
_predefinedStatisticalAggregation.Method = StatisticalAggregationType.ArithmeticMean;
_percentileStatisticalAggregation.Selected = true;
_observedDataCollection = new ObservedDataCollection {
ApplyGroupingToObservedData = true
};
var observedData = DomainHelperForSpecs.ObservedData();
observedData.ExtendedProperties.Add(new ExtendedProperty <string> {
Name = _genderField.Name, Value = "Male"
});
_observedDataCollection.AddObservedData(observedData);
_pivotResult = ChartDataHelperForSpecs.CreateOutputResults(_statisticalAnalysis, _genderField, _outputFieldVenousBloodPlasma, _outputFieldLiverCell, _observedDataCollection);
}
protected override void Context()
{
base.Context();
_pivotAnalysis.SetPosition(_genderField, PivotArea.FilterArea, 0);
_pivotAnalysis.SetPosition(_raceField, PivotArea.FilterArea, 0);
_pivotAnalysis.SetPosition(_bmiClass, PivotArea.FilterArea, 0);
_pivotResult = ChartDataHelperForSpecs.CreatePivotResult(_pivotAnalysis, _aggregate, _genderField, _raceField, _bmiField, _cmaxField);
}
protected override void Context()
{
base.Context();
_pivotAnalysis.SetPosition(_genderField, PivotArea.RowArea, 0);
_pivotAnalysis.SetPosition(_cmaxField, PivotArea.DataArea, 0);
_pivotAnalysis.SetPosition(_bmiField, PivotArea.DataArea, 1);
_pivotResult = ChartDataHelperForSpecs.CreatePivotResult(_pivotAnalysis, AggregationFunctions.ValuesAggregation, _genderField, _raceField, _bmiField, _cmaxField);
}
protected override void Context()
{
base.Context();
_statisticalAnalysis.SetPosition(_genderField, PivotArea.RowArea, 0);
_statisticalAnalysis.SetPosition(_outputFieldVenousBloodPlasma, PivotArea.DataArea, 0);
_statisticalAnalysis.SetPosition(_outputFieldLiverCell, PivotArea.DataArea, 1);
_predefinedStatisticalAggregation.Method = StatisticalAggregationType.Range95;
_pivotResult = ChartDataHelperForSpecs.CreateOutputResults(_statisticalAnalysis, _genderField, _outputFieldVenousBloodPlasma, _outputFieldLiverCell);
}
protected override void Context()
{
base.Context();
_chartData = new ChartData <BoxWhiskerXValue, BoxWhiskerYValue>(null, ChartDataHelperForSpecs.FieldValueComparersR1(), Helper.XValueNames, Helper.XValueComparer());
_paneData1 = Helper.CreateBoxWhiskerPaneData11(_chartData);
_paneData2 = Helper.CreateBoxWhiskerPaneData12(_chartData);
_chartData.AddPane(_paneData2);
_chartData.AddPane(_paneData1);
}
protected override void Context()
{
base.Context();
_statisticalAnalysis.SetPosition(_outputFieldVenousBloodPlasma, PivotArea.DataArea, 0);
_pivotResult = ChartDataHelperForSpecs.CreateOutputResults(_statisticalAnalysis, _genderField, _outputFieldVenousBloodPlasma, _outputFieldLiverCell);
foreach (DataRow dataRow in _pivotResult.PivotedData.Rows)
{
dataRow[_pivotResult.AggregationName] = DBNull.Value;
}
}
protected override void Context()
{
base.Context();
_statisticalAnalysis.SetPosition(_genderField, PivotArea.ColumnArea, 0);
_statisticalAnalysis.ColorField = _genderField;
_statisticalAnalysis.SetPosition(_outputFieldVenousBloodPlasma, PivotArea.DataArea, 0);
_statisticalAnalysis.SetPosition(_outputFieldLiverCell, PivotArea.DataArea, 1);
_predefinedStatisticalAggregation.Method = StatisticalAggregationType.ArithmeticMean;
_percentileStatisticalAggregation.Selected = true;
_pivotResult = ChartDataHelperForSpecs.CreateOutputResults(_statisticalAnalysis, _genderField, _outputFieldVenousBloodPlasma, _outputFieldLiverCell);
}
public void should_contain_data()
{
var curveData1 = ChartDataHelperForSpecs.CreateBoxWhiskerCurveData111(sut);
var curveData2 = ChartDataHelperForSpecs.CreateBoxWhiskerCurveData112(sut);
sut.AddCurve(curveData1);
sut.AddCurve(curveData2);
sut.Curves.Count.ShouldBeEqualTo(2);
sut.Curves["Male"].ShouldBeEqualTo(curveData1);
sut.Curves["Female"].ShouldBeEqualTo(curveData2);
}
protected override void Context()
{
base.Context();
_pivotAnalysis.SetPosition(_bmiClass, PivotArea.ColorArea, 0);
_pivotAnalysis.SetPosition(_cmaxField, PivotArea.DataArea, 0);
_pivotAnalysis.SetPosition(_bmiField, PivotArea.DataArea, 1);
_pivotResult = ChartDataHelperForSpecs.CreatePivotResult(_pivotAnalysis,
AggregationFunctions.ValuesAggregation,
_genderField, _raceField, _bmiField, _cmaxField,
cmaxValues: new double[] { 600, 800, 600 });
}
protected override void Context()
{
_chartData = ChartDataHelperForSpecs.CreateBoxWhiskerChartData();
var name = "TMax";
_axisData = ChartDataHelperForSpecs.CreateAxisData(name);
sut = new PaneData <BoxWhiskerXValue, BoxWhiskerYValue>(_axisData, new Dictionary <string, string> {
{ name, name }
}, ChartDataHelperForSpecs.FieldValueComparersR1());
sut.Caption = name;
sut.Id = name;
sut.Chart = _chartData;
}
protected override void Context()
{
var chartData = ChartDataHelperForSpecs.CreateBoxWhiskerChartData();
_paneData = ChartDataHelperForSpecs.CreateBoxWhiskerPaneData11(chartData);
var name = "Male";
sut = new CurveData <BoxWhiskerXValue, BoxWhiskerYValue>(new Dictionary <string, string> {
{ name, name }
});
sut.Id = name;
sut.Caption = name;
sut.Pane = _paneData;
}
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()
{
sut = new ChartData <BoxWhiskerXValue, BoxWhiskerYValue>(null, ChartDataHelperForSpecs.FieldValueComparersR1(), Helper.XValueNames, Helper.XValueComparer());
}
protected override void Context()
{
base.Context();
_pivotResult = ChartDataHelperForSpecs.CreatePivotResult(_pivotAnalysis, _aggregate, _genderField, _raceField, _bmiField, _cmaxField);
}
