protected override Task Context() { _individualMapper = A.Fake <IndividualMapper>(); _parameterRangeMapper = A.Fake <ParameterRangeMapper>(); _genderRepository = A.Fake <IGenderRepository>(); _populationSettingsMapper = A.Fake <IIndividualToPopulationSettingsMapper>(); sut = new RandomPopulationSettingsMapper(_parameterRangeMapper, _individualMapper, _populationSettingsMapper, _genderRepository); _ageParameterRange = new ConstrainedParameterRange { ParameterName = CoreConstants.Parameters.AGE }; _weightParameterRange = new ParameterRange { ParameterName = CoreConstants.Parameters.MEAN_WEIGHT }; A.CallTo(() => _parameterRangeMapper.MapToSnapshot(null)).Returns((Snapshots.ParameterRange)null); _ageRangeSnapshot = new Snapshots.ParameterRange(); A.CallTo(() => _parameterRangeMapper.MapToSnapshot(_ageParameterRange)).Returns(_ageRangeSnapshot); _weightRangeSnapshot = new Snapshots.ParameterRange(); A.CallTo(() => _parameterRangeMapper.MapToSnapshot(_weightParameterRange)).Returns(_weightRangeSnapshot); _baseIndividual = new Individual(); _snapshotIndividual = new Snapshots.Individual(); A.CallTo(() => _individualMapper.MapToSnapshot(_baseIndividual)).Returns(_snapshotIndividual); _randomPopulationSettings = new RandomPopulationSettings { NumberOfIndividuals = 10, BaseIndividual = _baseIndividual }; _randomPopulationSettings.AddParameterRange(_weightParameterRange); _randomPopulationSettings.AddParameterRange(_ageParameterRange); A.CallTo(() => _genderRepository.Female).Returns(new Gender { Id = "Female", Name = "Female" }); A.CallTo(() => _genderRepository.Male).Returns(new Gender { Id = "Male", Name = "Male" }); return(Task.FromResult(true)); }
protected override Task Context() { _classificationMapper = A.Fake <ClassificationMapper>(); _snapshotMapper = A.Fake <ISnapshotMapper>(); _executionContext = A.Fake <IExecutionContext>(); _lazyLoadTask = A.Fake <ILazyLoadTask>(); _simulationMapper = A.Fake <SimulationMapper>(); _simulationComparisonMapper = A.Fake <SimulationComparisonMapper>(); _parameterIdentificationMapper = A.Fake <ParameterIdentificationMapper>(); _classificationSnapshotTask = A.Fake <IClassificationSnapshotTask>(); _qualificationPlanMapper = A.Fake <QualificationPlanMapper>(); _creationMetaDataFactory = A.Fake <ICreationMetaDataFactory>(); _logger = A.Fake <ILogger>(); sut = new ProjectMapper( _simulationMapper, _simulationComparisonMapper, _parameterIdentificationMapper, _qualificationPlanMapper, _executionContext, _classificationSnapshotTask, _lazyLoadTask, _creationMetaDataFactory, _logger); A.CallTo(() => _executionContext.Resolve <ISnapshotMapper>()).Returns(_snapshotMapper); _individual = new Individual().WithName("IND"); _compound = new Compound().WithName("COMP"); _event = new PKSimEvent().WithName("EVENT"); _formulation = new Formulation().WithName("FORM"); _protocol = new SimpleProtocol().WithName("PROTO"); _population = new RandomPopulation().WithName("POP"); _observedData = new DataRepository().WithName("OD"); _parameterIdentification = new OSPSuite.Core.Domain.ParameterIdentifications.ParameterIdentification().WithName("PI").WithId("PI_ID"); _classifiableObservedData = new ClassifiableObservedData { Subject = _observedData }; _classification = new Classification { ClassificationType = ClassificationType.ObservedData }.WithName("OD Classification"); _simulationComparison = new IndividualSimulationComparison().WithName("COMP").WithId("SimComp"); _simulation = new IndividualSimulation().WithName("IND_SIM").WithId("IndSim"); _qualificationPlan = new QualificationPlan().WithName("QP").WithId("QP_ID"); _project = new PKSimProject(); _project.AddBuildingBlock(_individual); _project.AddBuildingBlock(_compound); _project.AddBuildingBlock(_event); _project.AddBuildingBlock(_formulation); _project.AddBuildingBlock(_protocol); _project.AddBuildingBlock(_population); _project.AddObservedData(_observedData); _project.AddBuildingBlock(_simulation); _project.AddClassifiable(_classifiableObservedData); _project.AddClassification(_classification); _project.AddSimulationComparison(_simulationComparison); _project.AddParameterIdentification(_parameterIdentification); _project.AddQualificationPlan(_qualificationPlan); _compoundSnapshot = new Snapshots.Compound(); _individualSnapshot = new Snapshots.Individual(); _eventSnapshot = new Event(); _formulationSnapshot = new Snapshots.Formulation(); _protocolSnapshot = new Snapshots.Protocol(); _populationSnapshot = new Snapshots.Population(); _observedDataSnapshot = new Snapshots.DataRepository(); _parameterIdentificationSnapshot = new ParameterIdentification(); _observedDataClassificationSnapshot = new Snapshots.Classification(); _simulationComparisonSnapshot = new SimulationComparison(); _simulationClassificationSnapshot = new Snapshots.Classification(); _comparisonClassificationSnapshot = new Snapshots.Classification(); _parameterIdentificationClassificationSnapshot = new Snapshots.Classification(); _qualificationPlanClassificationSnapshot = new Snapshots.Classification(); _qualificationPlanSnapshot = new Snapshots.QualificationPlan(); _simulationSnapshot = new Simulation(); A.CallTo(() => _snapshotMapper.MapToSnapshot(_compound)).Returns(_compoundSnapshot); A.CallTo(() => _snapshotMapper.MapToSnapshot(_individual)).Returns(_individualSnapshot); A.CallTo(() => _snapshotMapper.MapToSnapshot(_event)).Returns(_eventSnapshot); A.CallTo(() => _snapshotMapper.MapToSnapshot(_formulation)).Returns(_formulationSnapshot); A.CallTo(() => _snapshotMapper.MapToSnapshot(_protocol)).Returns(_protocolSnapshot); A.CallTo(() => _snapshotMapper.MapToSnapshot(_population)).Returns(_populationSnapshot); A.CallTo(() => _snapshotMapper.MapToSnapshot(_observedData)).Returns(_observedDataSnapshot); A.CallTo(() => _simulationMapper.MapToSnapshot(_simulation, _project)).Returns(_simulationSnapshot); A.CallTo(() => _simulationComparisonMapper.MapToSnapshot(_simulationComparison)).Returns(_simulationComparisonSnapshot); A.CallTo(() => _parameterIdentificationMapper.MapToSnapshot(_parameterIdentification, _project)).Returns(_parameterIdentificationSnapshot); A.CallTo(() => _qualificationPlanMapper.MapToSnapshot(_qualificationPlan)).Returns(_qualificationPlanSnapshot); A.CallTo(() => _classificationSnapshotTask.MapClassificationsToSnapshots <ClassifiableObservedData>(_project)).Returns(new[] { _observedDataClassificationSnapshot }); A.CallTo(() => _classificationSnapshotTask.MapClassificationsToSnapshots <ClassifiableSimulation>(_project)).Returns(new[] { _simulationClassificationSnapshot }); A.CallTo(() => _classificationSnapshotTask.MapClassificationsToSnapshots <ClassifiableComparison>(_project)).Returns(new[] { _comparisonClassificationSnapshot }); A.CallTo(() => _classificationSnapshotTask.MapClassificationsToSnapshots <ClassifiableParameterIdentification>(_project)).Returns(new[] { _parameterIdentificationClassificationSnapshot }); A.CallTo(() => _classificationSnapshotTask.MapClassificationsToSnapshots <ClassifiableQualificationPlan>(_project)).Returns(new[] { _qualificationPlanClassificationSnapshot }); return(_completed); }
protected override Task Context() { _individualMapper = A.Fake <IndividualMapper>(); _parameterRangeMapper = A.Fake <ParameterRangeMapper>(); _genderRepository = A.Fake <IGenderRepository>(); _populationSettingsMapper = A.Fake <IIndividualToPopulationSettingsMapper>(); _logger = A.Fake <IOSPSuiteLogger>(); sut = new RandomPopulationSettingsMapper(_parameterRangeMapper, _individualMapper, _populationSettingsMapper, _genderRepository, _logger); _ageParameterRange = new ConstrainedParameterRange { ParameterName = CoreConstants.Parameters.AGE }; _weightParameterRange = new ParameterRange { ParameterName = CoreConstants.Parameters.MEAN_WEIGHT }; A.CallTo(() => _parameterRangeMapper.MapToSnapshot(null)).Returns((Snapshots.ParameterRange)null); _ageRangeSnapshot = new Snapshots.ParameterRange(); A.CallTo(() => _parameterRangeMapper.MapToSnapshot(_ageParameterRange)).Returns(_ageRangeSnapshot); _weightRangeSnapshot = new Snapshots.ParameterRange(); A.CallTo(() => _parameterRangeMapper.MapToSnapshot(_weightParameterRange)).Returns(_weightRangeSnapshot); _baseIndividual = new Individual { OriginData = new OriginData() }; _diseaseStateParameter = new OriginDataParameter(10, "mg/kg", "DIS_STATE_PARAM"); _baseIndividual.OriginData.AddDiseaseStateParameter(_diseaseStateParameter); _diseaseStateParameterRangeSnapshot = new Snapshots.ParameterRange(); _diseaseStateParameterRange = new ConstrainedParameterRange { ParameterName = _diseaseStateParameter.Name }; A.CallTo(() => _parameterRangeMapper.MapToSnapshot(_diseaseStateParameterRange)).Returns(_diseaseStateParameterRangeSnapshot); _snapshotIndividual = new Snapshots.Individual(); A.CallTo(() => _individualMapper.MapToSnapshot(_baseIndividual)).Returns(_snapshotIndividual); _randomPopulationSettings = new RandomPopulationSettings { NumberOfIndividuals = 10, BaseIndividual = _baseIndividual }; _randomPopulationSettings.AddParameterRange(_weightParameterRange); _randomPopulationSettings.AddParameterRange(_ageParameterRange); _randomPopulationSettings.AddParameterRange(_diseaseStateParameterRange); A.CallTo(() => _genderRepository.Female).Returns(new Gender { Id = "Female", Name = "Female" }); A.CallTo(() => _genderRepository.Male).Returns(new Gender { Id = "Male", Name = "Male" }); _project = new PKSimProject(); _snapshotContext = new SnapshotContext(_project, ProjectVersions.Current); return(Task.FromResult(true)); }