public void Check()
{
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 nmdpGenerator = new SimpleNmdpFromExecutableModelGenerator(m);
nmdpGenerator.Configuration.ModelCapacity = ModelCapacityByMemorySize.Small;
nmdpGenerator.AddFormulaToCheck(final100Formula);
nmdpGenerator.AddFormulaToCheck(final200Formula);
var nmdp = nmdpGenerator.GenerateMarkovDecisionProcess();
nmdp.ExportToGv(Output.TextWriterAdapter());
var typeOfModelChecker = typeof(BuiltinNmdpModelChecker);
var modelChecker = (BuiltinNmdpModelChecker)Activator.CreateInstance(typeOfModelChecker, nmdp, 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);
}
public void CheckMdp()
{
var m = new Model();
Probability minProbabilityOfFinally2;
Probability maxProbabilityOfFinally2;
var finally2 = new UnaryFormula(new SimpleStateInRangeFormula(2), UnaryOperator.Finally);
var nmdpGenerator = new SimpleNmdpFromExecutableModelGenerator(m);
nmdpGenerator.Configuration.ModelCapacity = ModelCapacityByMemorySize.Small;
nmdpGenerator.AddFormulaToCheck(finally2);
var nmdp = nmdpGenerator.GenerateMarkovDecisionProcess();
nmdp.ExportToGv(Output.TextWriterAdapter());
Output.Log("");
var nmdpToMpd = new NmdpToMdp(nmdp);
var mdp = nmdpToMpd.MarkovDecisionProcess;
mdp.ExportToGv(Output.TextWriterAdapter());
var typeOfModelChecker = typeof(BuiltinMdpModelChecker);
var modelChecker = (MdpModelChecker)Activator.CreateInstance(typeOfModelChecker, mdp, Output.TextWriterAdapter());
using (modelChecker)
{
minProbabilityOfFinally2 = modelChecker.CalculateMinimalProbability(finally2);
maxProbabilityOfFinally2 = modelChecker.CalculateMaximalProbability(finally2);
}
minProbabilityOfFinally2.Between(0.0, 0.0).ShouldBe(true);
maxProbabilityOfFinally2.Between(1.0, 1.0).ShouldBe(true);
}
public void CheckNmdp()
{
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 nmdpGenerator = new SimpleNmdpFromExecutableModelGenerator(m);
nmdpGenerator.Configuration.ModelCapacity = ModelCapacityByMemorySize.Small;
nmdpGenerator.AddFormulaToCheck(final2);
nmdpGenerator.AddFormulaToCheck(final3);
var nmdp = nmdpGenerator.GenerateMarkovDecisionProcess();
nmdp.ExportToGv(Output.TextWriterAdapter());
var typeOfModelChecker = typeof(BuiltinNmdpModelChecker);
var modelChecker = (NmdpModelChecker)Activator.CreateInstance(typeOfModelChecker, nmdp, 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);
}
protected void CheckNmdp()
{
var m = new Model();
Probability minProbabilityOfFinal1;
Probability maxProbabilityOfFinal1;
var finally1 = new UnaryFormula(Model.StateIs1, UnaryOperator.Finally);
var nmdpGenerator = new SimpleNmdpFromExecutableModelGenerator(m);
nmdpGenerator.Configuration.ModelCapacity = ModelCapacityByMemorySize.Small;
nmdpGenerator.AddFormulaToCheck(finally1);
var nmdp = nmdpGenerator.GenerateMarkovDecisionProcess();
var typeOfModelChecker = typeof(BuiltinNmdpModelChecker);
var modelChecker = (NmdpModelChecker)Activator.CreateInstance(typeOfModelChecker, nmdp, Output.TextWriterAdapter());
using (modelChecker)
{
minProbabilityOfFinal1 = modelChecker.CalculateMinimalProbability(finally1);
maxProbabilityOfFinal1 = modelChecker.CalculateMaximalProbability(finally1);
}
minProbabilityOfFinal1.Is(0.65, 0.000001).ShouldBe(true);
maxProbabilityOfFinal1.Is(0.65, 0.000001).ShouldBe(true);
}
public void Check()
{
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 nmdpGenerator = new SimpleNmdpFromExecutableModelGenerator(m);
nmdpGenerator.Configuration.WriteGraphvizModels = true;
nmdpGenerator.Configuration.DefaultTraceOutput = Output.TextWriterAdapter();
nmdpGenerator.Configuration.ModelCapacity = ModelCapacityByMemorySize.Small;
nmdpGenerator.Configuration.UseAtomarPropositionsAsStateLabels = false;
nmdpGenerator.AddFormulaToCheck(final0Formula);
nmdpGenerator.AddFormulaToCheck(final0LtFormula);
nmdpGenerator.AddFormulaToCheck(final1Formula);
nmdpGenerator.AddFormulaToCheck(final2Formula);
var nmdp = nmdpGenerator.GenerateMarkovDecisionProcess();
var typeOfModelChecker = typeof(BuiltinNmdpModelChecker);
var modelChecker = (NmdpModelChecker)Activator.CreateInstance(typeOfModelChecker, nmdp, 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);
}