public void CalculateMdpFlattenedWithoutFaults()
{
var model = new Model();
SetProbabilities(model);
model.Channel.MessageDropped.ProbabilityOfOccurrence = null;
var createModel = SafetySharpRuntimeModel.CreateExecutedModelFromFormulasCreator(model);
var markovChainGenerator = new MarkovDecisionProcessFromExecutableModelGenerator <SafetySharpRuntimeModel>(createModel)
{
Configuration = SafetySharpModelChecker.TraversalConfiguration
};
markovChainGenerator.Configuration.SuccessorCapacity *= 2;
markovChainGenerator.Configuration.ModelCapacity = new ModelCapacityByModelSize(3300000L, 1000000000L);
markovChainGenerator.Configuration.EnableStaticPruningOptimization = false;
markovChainGenerator.Configuration.LtmdpModelChecker = LtmdpModelChecker.BuildInMdpWithNewStates;
markovChainGenerator.AddFormulaToCheck(model.PossibleCollision);
markovChainGenerator.Configuration.UseCompactStateStorage = true;
markovChainGenerator.Configuration.EnableEarlyTermination = false;
var nmdp = markovChainGenerator.GenerateNestedMarkovDecisionProcess();
var nmdpToMpd = new NmdpToMdpByFlattening(nmdp);
}
public void ExampleNoChoices()
{
NestedMarkovDecisionProcess = NmdpExamples.ExampleNoChoices.Create();
var converter = new NmdpToMdpByFlattening(NestedMarkovDecisionProcess);
MarkovDecisionProcess = converter.MarkovDecisionProcess;
int initialDistributions;
int initialTransitions;
double initialProbabilities;
CalculateMetricsOfInitialState(out initialDistributions, out initialTransitions, out initialProbabilities);
initialDistributions.ShouldBe(1);
initialTransitions.ShouldBe(1);
initialProbabilities.ShouldBe(1.0, 0.0000001);
int state0Distributions;
int state0Transitions;
double state0Probabilities;
CalculateMetricsOfState(0, out state0Distributions, out state0Transitions, out state0Probabilities);
state0Distributions.ShouldBe(1);
state0Transitions.ShouldBe(1);
state0Probabilities.ShouldBe(1.0, 0.0000001);
}
public void CalculateMdpFlattened()
{
var oldProbability = _faults[1].ProbabilityOfOccurrence;
_faults[1].ProbabilityOfOccurrence = null;
var markovChainGenerator = new MarkovDecisionProcessFromExecutableModelGenerator <LustreExecutableModel>(_createModel);
markovChainGenerator.Configuration.ModelCapacity = new ModelCapacityByModelSize(10000, 1000000);
markovChainGenerator.Configuration.SuccessorCapacity *= 2;
markovChainGenerator.Configuration.EnableStaticPruningOptimization = false;
markovChainGenerator.Configuration.LtmdpModelChecker = LtmdpModelChecker.BuildInMdpWithFlattening;
markovChainGenerator.AddFormulaToCheck(_hazard);
foreach (var fault in _faults)
{
var faultFormula = new FaultFormula(fault);
markovChainGenerator.AddFormulaToCheck(faultFormula);
}
markovChainGenerator.Configuration.UseCompactStateStorage = true;
markovChainGenerator.Configuration.EnableEarlyTermination = false;
var nmdp = markovChainGenerator.GenerateNestedMarkovDecisionProcess();
var nmdpToMpd = new NmdpToMdpByFlattening(nmdp);
_faults[1].ProbabilityOfOccurrence = oldProbability;
}
public void CalculateMdpFlattened()
{
var model = new DegradedModeModel();
model.System.SignalDetector1.F1.ProbabilityOfOccurrence = null;
var createModel = SafetySharpRuntimeModel.CreateExecutedModelFromFormulasCreator(model);
var markovChainGenerator = new MarkovDecisionProcessFromExecutableModelGenerator <SafetySharpRuntimeModel>(createModel)
{
Configuration = SafetySharpModelChecker.TraversalConfiguration
};
markovChainGenerator.Configuration.SuccessorCapacity *= 2;
markovChainGenerator.Configuration.EnableStaticPruningOptimization = false;
markovChainGenerator.Configuration.LtmdpModelChecker = LtmdpModelChecker.BuildInMdpWithNewStates;
markovChainGenerator.AddFormulaToCheck(model.System.HazardActive);
foreach (var fault in model.Faults)
{
var faultFormula = new FaultFormula(fault);
markovChainGenerator.AddFormulaToCheck(faultFormula);
}
markovChainGenerator.Configuration.UseCompactStateStorage = true;
markovChainGenerator.Configuration.EnableEarlyTermination = false;
var nmdp = markovChainGenerator.GenerateNestedMarkovDecisionProcess();
var nmdpToMpd = new NmdpToMdpByFlattening(nmdp);
}
public void CalculateMdpFlattenedWithoutFaults()
{
var model = new Model();
SetProbabilities(model);
model.HdMachine.Dialyzer.DialyzerMembraneRupturesFault.ProbabilityOfOccurrence = null;
var createModel = SafetySharpRuntimeModel.CreateExecutedModelFromFormulasCreator(model);
var markovChainGenerator = new MarkovDecisionProcessFromExecutableModelGenerator <SafetySharpRuntimeModel>(createModel)
{
Configuration = SafetySharpModelChecker.TraversalConfiguration
};
markovChainGenerator.Configuration.SuccessorCapacity *= 2;
markovChainGenerator.Configuration.EnableStaticPruningOptimization = false;
markovChainGenerator.Configuration.LtmdpModelChecker = LtmdpModelChecker.BuildInMdpWithNewStates;
markovChainGenerator.Configuration.EnableEarlyTermination = false;
markovChainGenerator.AddFormulaToCheck(new BoundedUnaryFormula(model.BloodNotCleanedAndDialyzingFinished, UnaryOperator.Finally, 6));
markovChainGenerator.AddFormulaToCheck(new BoundedUnaryFormula(model.IncomingBloodWasNotOk, UnaryOperator.Finally, 6));
markovChainGenerator.Configuration.UseCompactStateStorage = true;
var nmdp = markovChainGenerator.GenerateNestedMarkovDecisionProcess();
var nmdpToMpd = new NmdpToMdpByFlattening(nmdp);
}
public void CalculateMdpFlattenedWithoutFaults()
{
var model = Model.CreateOriginal();
model.VehicleSet.LeftHV.ProbabilityOfOccurrence = null;
var createModel = SafetySharpRuntimeModel.CreateExecutedModelFromFormulasCreator(model);
var markovChainGenerator = new MarkovDecisionProcessFromExecutableModelGenerator <SafetySharpRuntimeModel>(createModel)
{
Configuration = SafetySharpModelChecker.TraversalConfiguration
};
markovChainGenerator.Configuration.SuccessorCapacity *= 2;
markovChainGenerator.Configuration.ModelCapacity = new ModelCapacityByModelSize(3300000L, 1000000000L);
markovChainGenerator.Configuration.EnableStaticPruningOptimization = false;
markovChainGenerator.Configuration.LtmdpModelChecker = LtmdpModelChecker.BuildInMdpWithNewStates;
markovChainGenerator.AddFormulaToCheck(new BoundedUnaryFormula(model.Collision, UnaryOperator.Finally, 50));
markovChainGenerator.AddFormulaToCheck(new BoundedUnaryFormula(model.FalseAlarm, UnaryOperator.Finally, 50));
markovChainGenerator.Configuration.UseCompactStateStorage = true;
markovChainGenerator.Configuration.EnableEarlyTermination = false;
var nmdp = markovChainGenerator.GenerateNestedMarkovDecisionProcess();
var nmdpToMpd = new NmdpToMdpByFlattening(nmdp);
}
