private void Check(AnalysisConfiguration configuration)
{
var m = new Model();
Probability minProbabilityOfFinal2;
Probability minProbabilityOfFinal3;
Probability maxProbabilityOfFinal2;
Probability maxProbabilityOfFinal3;
var final2 = new UnaryFormula(new SimpleStateInRangeFormula(2), UnaryOperator.Finally);
var final3 = new UnaryFormula(new SimpleStateInRangeFormula(3), UnaryOperator.Finally);
var mdpGenerator = new SimpleMarkovDecisionProcessFromExecutableModelGenerator(m);
mdpGenerator.Configuration = configuration;
mdpGenerator.AddFormulaToCheck(final2);
mdpGenerator.AddFormulaToCheck(final3);
var mdp = mdpGenerator.GenerateLabeledTransitionMarkovDecisionProcess();
var modelChecker = new ConfigurationDependentLtmdpModelChecker(configuration, mdp, Output.TextWriterAdapter());
using (modelChecker)
{
minProbabilityOfFinal2 = modelChecker.CalculateMinimalProbability(final2);
minProbabilityOfFinal3 = modelChecker.CalculateMinimalProbability(final3);
maxProbabilityOfFinal2 = modelChecker.CalculateMaximalProbability(final2);
maxProbabilityOfFinal3 = modelChecker.CalculateMaximalProbability(final3);
}
minProbabilityOfFinal2.Is(0.3, tolerance: 0.0001).ShouldBe(true);
minProbabilityOfFinal3.Is(0.6, tolerance: 0.0001).ShouldBe(true);
maxProbabilityOfFinal2.Is(0.3, tolerance: 0.0001).ShouldBe(true);
maxProbabilityOfFinal3.Is(0.6, tolerance: 0.0001).ShouldBe(true);
}
private void Check(AnalysisConfiguration configuration)
{
var m = new Model();
Probability probabilityOfFinal100;
Probability probabilityOfFinal200;
var final100Formula = new BoundedUnaryFormula(Model.StateIs100, UnaryOperator.Finally, 5);
var final200Formula = new BoundedUnaryFormula(Model.StateIs200, UnaryOperator.Finally, 5);
var mdpGenerator = new SimpleMarkovDecisionProcessFromExecutableModelGenerator(m);
mdpGenerator.Configuration = configuration;
mdpGenerator.AddFormulaToCheck(final100Formula);
mdpGenerator.AddFormulaToCheck(final200Formula);
var mdp = mdpGenerator.GenerateLabeledTransitionMarkovDecisionProcess();
var modelChecker = new ConfigurationDependentLtmdpModelChecker(configuration, mdp, Output.TextWriterAdapter());
using (modelChecker)
{
probabilityOfFinal100 = modelChecker.CalculateMinimalProbability(final100Formula);
probabilityOfFinal200 = modelChecker.CalculateMinimalProbability(final200Formula);
}
probabilityOfFinal100.Is(0.6 * 0.8, 0.000001).ShouldBe(true);
probabilityOfFinal200.Is(0.4 + 0.6 * 0.2, 0.000001).ShouldBe(true);
}
private void CheckBounded(AnalysisConfiguration configuration)
{
var m = new SharedModels.SimpleExample2a();
Probability minProbabilityOfFinal0;
Probability minProbabilityOfFinal0Lt;
Probability minProbabilityOfFinal1;
Probability minProbabilityOfFinal2;
Probability maxProbabilityOfFinal0;
Probability maxProbabilityOfFinal0Lt;
Probability maxProbabilityOfFinal1;
Probability maxProbabilityOfFinal2;
var final0Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs0, UnaryOperator.Finally, 4);
var final0LtFormula =
new BoundedUnaryFormula(
new BinaryFormula(SharedModels.SimpleExample2a.StateIs0, BinaryOperator.And, SharedModels.SimpleExample2a.LocalVarIsTrue),
UnaryOperator.Finally, 4);
var final1Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs1, UnaryOperator.Finally, 4);
var final2Formula = new BoundedUnaryFormula(SharedModels.SimpleExample2a.StateIs2, UnaryOperator.Finally, 4);
var mdpGenerator = new SimpleMarkovDecisionProcessFromExecutableModelGenerator(m);
mdpGenerator.Configuration = configuration;
mdpGenerator.AddFormulaToCheck(final0Formula);
mdpGenerator.AddFormulaToCheck(final0LtFormula);
mdpGenerator.AddFormulaToCheck(final1Formula);
mdpGenerator.AddFormulaToCheck(final2Formula);
var mdp = mdpGenerator.GenerateLabeledTransitionMarkovDecisionProcess();
var modelChecker = new ConfigurationDependentLtmdpModelChecker(configuration, mdp, Output.TextWriterAdapter());
using (modelChecker)
{
minProbabilityOfFinal0 = modelChecker.CalculateMinimalProbability(final0Formula);
minProbabilityOfFinal0Lt = modelChecker.CalculateMinimalProbability(final0LtFormula);
minProbabilityOfFinal1 = modelChecker.CalculateMinimalProbability(final1Formula);
minProbabilityOfFinal2 = modelChecker.CalculateMinimalProbability(final2Formula);
maxProbabilityOfFinal0 = modelChecker.CalculateMaximalProbability(final0Formula);
maxProbabilityOfFinal0Lt = modelChecker.CalculateMaximalProbability(final0LtFormula);
maxProbabilityOfFinal1 = modelChecker.CalculateMaximalProbability(final1Formula);
maxProbabilityOfFinal2 = modelChecker.CalculateMaximalProbability(final2Formula);
}
minProbabilityOfFinal0.Is(1.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal0Lt.Is(0.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal1.Is(0.0, 0.000001).ShouldBe(true);
minProbabilityOfFinal2.Is(0.0, 0.000001).ShouldBe(true);
maxProbabilityOfFinal0.Is(1.0, 0.000001).ShouldBe(true);
maxProbabilityOfFinal0Lt.Is(1.0, 0.000001).ShouldBe(true);
var maxProbabilityOf1And2Calculated = 1.0 - Math.Pow(0.6, 4);
maxProbabilityOfFinal1.Is(maxProbabilityOf1And2Calculated, 0.000001).ShouldBe(true);
maxProbabilityOfFinal2.Is(maxProbabilityOf1And2Calculated, 0.000001).ShouldBe(true);
}
private void CheckSmallerEqualTwo(AnalysisConfiguration configuration)
{
var m = new Model();
Probability minProbabilityOfFinalSmallerEqual2;
Probability maxProbabilityOfFinalSmallerEqual2;
var finalSmallerEqual2Formula = new BoundedUnaryFormula(new SimpleStateInRangeFormula(0, 2), UnaryOperator.Finally, 5);
var mdpGenerator = new SimpleMarkovDecisionProcessFromExecutableModelGenerator(m);
mdpGenerator.Configuration = configuration;
mdpGenerator.AddFormulaToCheck(finalSmallerEqual2Formula);
var mdp = mdpGenerator.GenerateLabeledTransitionMarkovDecisionProcess();
var modelChecker = new ConfigurationDependentLtmdpModelChecker(configuration, mdp, Output.TextWriterAdapter());
using (modelChecker)
{
minProbabilityOfFinalSmallerEqual2 = modelChecker.CalculateMinimalProbability(finalSmallerEqual2Formula);
maxProbabilityOfFinalSmallerEqual2 = modelChecker.CalculateMaximalProbability(finalSmallerEqual2Formula);
}
}
