protected override void Context()
{
base.Context();
_selection = new PredefinedStatisticalAggregation {
Method = _statisticalAggregationType
};
}
protected override Task Context()
{
_fieldMapper = A.Fake <PopulationAnalysisFieldMapper>();
sut = new PopulationAnalysisMapper(_fieldMapper);
_populationStatisticalAnalysis = new PopulationStatisticalAnalysis();
_selectedStatisticalAnalysis = new PredefinedStatisticalAggregation {
Method = StatisticalAggregationType.Max, Selected = true, LineStyle = LineStyles.Dash
};
_populationStatisticalAnalysis.AddStatistic(_selectedStatisticalAnalysis);
_populationStatisticalAnalysis.AddStatistic(new PredefinedStatisticalAggregation {
Method = StatisticalAggregationType.Min, Selected = false
});
_populationBoxWiskerAnalysis = new PopulationBoxWhiskerAnalysis {
ShowOutliers = true
};
_field1 = A.Fake <IPopulationAnalysisField>().WithName("Field1");
_field2 = A.Fake <IPopulationAnalysisField>().WithName("Field2");
_populationPivotAnalysis = new PopulationPivotAnalysis();
_populationPivotAnalysis.Add(_field1);
_populationPivotAnalysis.Add(_field2);
_populationPivotAnalysis.SetPosition(_field1, PivotArea.FilterArea, 1);
_populationPivotAnalysis.SetPosition(_field2, PivotArea.RowArea, 2);
_snapshotField1 = new PopulationAnalysisField().WithName(_field1.Name);
_snapshotField2 = new PopulationAnalysisField().WithName(_field2.Name);
A.CallTo(() => _fieldMapper.MapToSnapshot(_field1)).Returns(_snapshotField1);
A.CallTo(() => _fieldMapper.MapToSnapshot(_field2)).Returns(_snapshotField2);
return(_completed);
}
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);
}
