public ParameterIdentificationRun(IResidualCalculatorFactory residualCalculatorFactory, ITimeGridUpdater timeGridUpdater,
ISimModelBatchFactory simModelBatchFactory, ISimulationToModelCoreSimulationMapper modelCoreSimulationMapper,
IParameterIdentificationAlgorithmToOptmizationAlgorithmMapper optimizationAlgorithmMapper, IOutputSelectionUpdater outputSelectionUpdater,
ICoreUserSettings coreUserSettings, IJacobianMatrixCalculator jacobianMatrixCalculator)
{
_residualCalculatorFactory = residualCalculatorFactory;
_timeGridUpdater = timeGridUpdater;
_simModelBatchFactory = simModelBatchFactory;
_modelCoreSimulationMapper = modelCoreSimulationMapper;
_optimizationAlgorithmMapper = optimizationAlgorithmMapper;
_outputSelectionUpdater = outputSelectionUpdater;
_coreUserSettings = coreUserSettings;
_jacobianMatrixCalculator = jacobianMatrixCalculator;
}
protected override void Context()
{
_modelCoreSimulationMapper = A.Fake <ISimulationToModelCoreSimulationMapper>();
_residualCalculatorFactory = A.Fake <IResidualCalculatorFactory>();
_timeGridUpdater = A.Fake <ITimeGridUpdater>();
_simModelBatchFactory = A.Fake <ISimModelBatchFactory>();
_optimizationAlgorithmMapper = A.Fake <IParameterIdentificationAlgorithmToOptmizationAlgorithmMapper>();
_outputSelectionUpdater = A.Fake <IOutputSelectionUpdater>();
_coreUserSettings = A.Fake <ICoreUserSettings>();
_jacobianMatrixCalculator = A.Fake <IJacobianMatrixCalculator>();
_coreUserSettings.MaximumNumberOfCoresToUse = 2;
sut = new ParameterIdentificationRun(_residualCalculatorFactory, _timeGridUpdater, _simModelBatchFactory, _modelCoreSimulationMapper,
_optimizationAlgorithmMapper, _outputSelectionUpdater, _coreUserSettings, _jacobianMatrixCalculator);
_simulation = A.Fake <ISimulation>();
_parameter1 = A.Fake <IParameter>();
_parameter1.Dimension = DomainHelperForSpecs.ConcentrationDimensionForSpecs();
_parameter1.Value = 15;
_parameter2 = A.Fake <IParameter>();
_parameter2.Value = 35;
_parameter2.Dimension = DomainHelperForSpecs.ConcentrationDimensionForSpecs();
_parameterIdentification = new ParameterIdentification();
_parameterIdentification.Configuration.LLOQMode = LLOQModes.OnlyObservedData;
_parameterIdentification.Configuration.RemoveLLOQMode = RemoveLLOQModes.NoTrailing;
_parameterIdentification.AddSimulation(_simulation);
_parameterSelection1 = ParameterSelectionFor(_parameter1, "ParameterPath1");
_parameterSelection2 = ParameterSelectionFor(_parameter2, "ParameterPath2");
_identificationParameter = DomainHelperForSpecs.IdentificationParameter("IdParam", min: 10, max: 20, startValue: 15);
_identificationParameter.AddLinkedParameter(_parameterSelection1);
_identificationParameter.AddLinkedParameter(_parameterSelection2);
_modelCoreSimulation = A.Fake <IModelCoreSimulation>();
A.CallTo(() => _modelCoreSimulationMapper.MapFrom(_simulation, true)).Returns(_modelCoreSimulation);
_outputMapping = A.Fake <OutputMapping>();
A.CallTo(() => _outputMapping.UsesSimulation(_simulation)).Returns(true);
A.CallTo(() => _outputMapping.WeightedObservedData.ObservedData).Returns(DomainHelperForSpecs.ObservedData());
_parameterIdentification.AddOutputMapping(_outputMapping);
_simModelBatch = A.Fake <ISimModelBatch>();
A.CallTo(() => _simModelBatchFactory.Create()).Returns(_simModelBatch);
_parameterIdentification.AddIdentificationParameter(_identificationParameter);
_residualCalculator = A.Fake <IResidualCalculator>();
A.CallTo(_residualCalculatorFactory).WithReturnType <IResidualCalculator>().Returns(_residualCalculator);
_algorithm = A.Fake <IOptimizationAlgorithm>();
A.CallTo(() => _optimizationAlgorithmMapper.MapFrom(_parameterIdentification.AlgorithmProperties)).Returns(_algorithm);
_cancellationTokenSource = new CancellationTokenSource();
_cancellationToken = _cancellationTokenSource.Token;
_runInitializer = A.Fake <IParameterIdentifcationRunInitializer>();
A.CallTo(() => _runInitializer.InitializeRun()).ReturnsAsync(_parameterIdentification);
PerformExtraInitializationSteps();
sut.InitializeWith(_runInitializer);
}