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));
}
