private void Check(AnalysisConfiguration configuration)
{
var m = new Model();
Probability probabilityOfFinally2;
Probability probabilityOfFinally2b;
var finally2 = new UnaryFormula(new SimpleStateInRangeFormula(2), UnaryOperator.Finally);
var finally2b = new BoundedUnaryFormula(new SimpleStateInRangeFormula(2), UnaryOperator.Finally, 2);
var markovChainGenerator = new SimpleMarkovChainFromExecutableModelGenerator(m);
markovChainGenerator.Configuration = configuration;
markovChainGenerator.AddFormulaToCheck(finally2);
markovChainGenerator.AddFormulaToCheck(finally2b);
var ltmc = markovChainGenerator.GenerateLabeledMarkovChain();
var modelChecker = new ConfigurationDependentLtmcModelChecker(configuration, ltmc, Output.TextWriterAdapter());
using (modelChecker)
{
probabilityOfFinally2 = modelChecker.CalculateProbability(finally2);
probabilityOfFinally2b = modelChecker.CalculateProbability(finally2b);
}
probabilityOfFinally2.Between(0.33, 0.34).ShouldBe(true);
probabilityOfFinally2b.Between(0.33, 0.34).ShouldBe(true);
}
public void MailSanitisationShouldProceedThroughEntireWorkflowWhenMessagesAreCollected()
{
var testDependencies = new CoreDependencyInstances(_coreDependencies.DiagnosticLogging, new DummyEnvVariableReader());
var result = AnalysisConfiguration.PopulateConfigFromEnviromentVariables(testDependencies);
Assert.Equal(LocationKeyIdentifier.WestUs, result.ApiLocation);
}
/// <summary>
/// Divide text into sentences, using separators like a dot
/// </summary>
/// <param name="text">Input text for processing</param>
/// <returns>Sentences generated from text processing</returns>
public IList <string> Process(string text)
{
AnalysisConfiguration analysisConfiguration = TextAnalysisRepository.Instance.AnalysisConfiguration;
AnalysisProcessContext processContext = new AnalysisProcessContext();
processContext.AnalysisConfiguration = analysisConfiguration;
//If enter key (\n or \r\n) declared as seperator- We seperate input text to segments
if (analysisConfiguration.EnableLinebreakSeperator)
{
IList <string> segments = GetTextSegments(text);
//Processing all segments contained in the input text
foreach (var segment in segments)
{
if (!string.IsNullOrWhiteSpace(segment))
{
ProcessTextSegment(segment, processContext);
}
}
}
else
{
//Process input text as one segmant
ProcessTextSegment(text, processContext);
}
return(processContext.Output.SentenceListResult);
}
public MailProcessingEngine(CoreDependencyInstances coreDependencies,
IMailProcessorRepository repository, AnalysisConfiguration config)
{
_coreDependencies = coreDependencies;
_repository = repository;
_config = config;
}
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="createModel">Creates the model that should be checked.</param>
/// <param name="output">The callback that should be used to output messages.</param>
/// <param name="configuration">The analysis configuration that should be used.</param>
internal ModelTraverser(Func<AnalysisModel> createModel, Action<string> output, AnalysisConfiguration configuration)
{
Requires.NotNull(createModel, nameof(createModel));
Requires.NotNull(output, nameof(output));
TransitionCollection.ValidateTransitionSizes();
var tasks = new Task[configuration.CpuCount];
var stacks = new StateStack[configuration.CpuCount];
_loadBalancer = new LoadBalancer(stacks);
Context = new TraversalContext(_loadBalancer, configuration, output);
_workers = new Worker[configuration.CpuCount];
for (var i = 0; i < configuration.CpuCount; ++i)
{
var index = i;
tasks[i] = Task.Factory.StartNew(() =>
{
stacks[index] = new StateStack(configuration.StackCapacity);
_workers[index] = new Worker(index, Context, stacks[index], createModel());
});
}
Task.WaitAll(tasks);
_states = new StateStorage(_workers[0].Model.StateVectorSize, configuration.StateCapacity);
Context.States = _states;
}
// Note: Should be used with using(var modelchecker = new ...)
internal ConfigurationDependentLtmdpModelChecker(AnalysisConfiguration configuration, LabeledTransitionMarkovDecisionProcess markovChain, TextWriter output = null)
: base(markovChain, output)
{
switch (configuration.LtmdpModelChecker)
{
case SafetyChecking.LtmdpModelChecker.BuiltInLtmdp:
Requires.That(configuration.UseCompactStateStorage, "Need CompactStateStorage to use this algorithm");
_ltmdpModelChecker = new BuiltinLtmdpModelChecker(Ltmdp, output);
break;
case SafetyChecking.LtmdpModelChecker.BuiltInNmdp:
var nmdp = ConvertToNmdp(configuration, Ltmdp);
_nmdpModelChecker = new BuiltinNmdpModelChecker(nmdp, output);
break;
case SafetyChecking.LtmdpModelChecker.BuildInMdpWithNewStates:
nmdp = ConvertToNmdp(configuration, Ltmdp);
var mdp = ConvertToMdpWithNewStates(configuration, nmdp);
_mdpModelChecker = new BuiltinMdpModelChecker(mdp, output);
break;
case SafetyChecking.LtmdpModelChecker.BuildInMdpWithFlattening:
nmdp = ConvertToNmdp(configuration, Ltmdp);
mdp = ConvertToMdpWithFlattening(configuration, nmdp);
_mdpModelChecker = new BuiltinMdpModelChecker(mdp, output);
break;
default:
throw new NotImplementedException();
}
}
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);
}
public async Task RunAnalysis_IncreaseOnWin_WinBet()
{
// Arrange
var logger = Substitute.For <ILogger <RunAnalysis> >();
var playHand = Substitute.For <IPlayHand>();
var runAnalysis = new RunAnalysis(logger, playHand);
var analysisConfiguration = new AnalysisConfiguration()
{
StartingAnte = 1,
BettingStrategy = BettingStrategy.IncreaseOnWin,
DeckCountPerShoe = 4,
PlayerFunds = 10,
TargetFunds = 11,
AvailableActions = TestHelper.BuildAvailableActionsAlwaysStand()
};
var updateProgress = Substitute.For <IUpdateProgress>();
// Act
decimal result = await runAnalysis.Run(analysisConfiguration, updateProgress);
// Assert
}
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);
}
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="createModel">Creates the model that should be checked.</param>
/// <param name="configuration">The analysis configuration that should be used.</param>
/// <param name="stateFormula">The analyzed stateFormula.</param>
internal InvariantChecker(AnalysisModelCreator createModel, AnalysisConfiguration configuration, Formula stateFormula)
{
ModelTraverser = new ModelTraverser(createModel, configuration, 0, false);
var formulasToCheck = ModelTraverser.AnalyzedModels.First().Formulas;
ModelTraverser.Context.TraversalParameters.TransitionActions.Add(() => new InvariantViolationAction(formulasToCheck, stateFormula));
}
public JavaScriptCodeAnalyzer(AnalysisConfiguration configuration, ExecutableCodeFactory codeFactory,
ContainerConfiguration containerConfiguration, DockerContainerExecutor executor, IMapper mapper)
: base(configuration,
codeFactory, containerConfiguration, executor)
{
_mapper = mapper;
}
private void Check(AnalysisConfiguration configuration)
{
var m = new Model();
Probability probabilityOfFinal1;
Probability probabilityOfFinal2;
Probability probabilityOfFinal3;
var final1Formula = new UnaryFormula(new SimpleStateInRangeFormula(1), UnaryOperator.Finally);
var final2Formula = new UnaryFormula(new SimpleStateInRangeFormula(2), UnaryOperator.Finally);
var final3Formula = new UnaryFormula(new SimpleStateInRangeFormula(3), UnaryOperator.Finally);
var markovChainGenerator = new SimpleMarkovChainFromExecutableModelGenerator(m);
markovChainGenerator.Configuration = configuration;
markovChainGenerator.AddFormulaToCheck(final1Formula);
markovChainGenerator.AddFormulaToCheck(final2Formula);
markovChainGenerator.AddFormulaToCheck(final3Formula);
var ltmc = markovChainGenerator.GenerateLabeledMarkovChain();
var modelChecker = new ConfigurationDependentLtmcModelChecker(configuration, ltmc, Output.TextWriterAdapter());
using (modelChecker)
{
probabilityOfFinal1 = modelChecker.CalculateProbability(final1Formula);
probabilityOfFinal2 = modelChecker.CalculateProbability(final2Formula);
probabilityOfFinal3 = modelChecker.CalculateProbability(final3Formula);
}
probabilityOfFinal1.Is(0.7, 0.000001).ShouldBe(true);
probabilityOfFinal2.Is(0.15, 0.000001).ShouldBe(true);
probabilityOfFinal3.Is(0.15, 0.000001).ShouldBe(true);
}
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="results">The result of the safety analysis the order analysis should be conducted for.</param>
/// <param name="configuration">The model checker's configuration that determines certain model checker settings.</param>
public OrderAnalysis(SafetyAnalysisResults <TExecutableModel> results, AnalysisConfiguration configuration)
{
Requires.NotNull(results, nameof(results));
_results = results;
_backend.InitializeModel(configuration, results.RuntimeModelCreator, results.Hazard);
}
/// <summary>
/// Initializes the model that should be analyzed.
/// </summary>
/// <param name="configuration">The configuration that should be used for the analyses.</param>
/// <param name="hazard">The hazard that should be analyzed.</param>
protected override void InitializeModel(AnalysisConfiguration configuration, Formula hazard)
{
var invariant = new UnaryFormula(hazard, UnaryOperator.Not);
var checker = new QualitativeChecker <TExecutableModel>(RuntimeModelCreator)
{
Configuration = configuration
};
checker.Configuration.ProgressReportsOnly = false;
var stateGraph = checker.GenerateStateGraph();
var stateCapacity = Math.Max(1024, (int)(stateGraph.StateCount * 1.5));
var newModelCapacity = new ModelCapacityByModelDensity(stateCapacity, ModelDensityLimit.High);
configuration.ModelCapacity = newModelCapacity;
Func <AnalysisModel> createAnalysisModelFunc = () => new StateGraphModel <TExecutableModel>(stateGraph, configuration.SuccessorCapacity);
var createAnalysisModel = new AnalysisModelCreator(createAnalysisModelFunc);
_checker = new InvariantChecker(createAnalysisModel, configuration, invariant);
}
private void Check(AnalysisConfiguration configuration)
{
var m = new Model();
Probability probabilityOfFinal100;
Probability probabilityOfFinal200;
var final100Formula = new UnaryFormula(Model.StateIs100, UnaryOperator.Finally);
var final200Formula = new UnaryFormula(Model.StateIs200, UnaryOperator.Finally);
var markovChainGenerator = new SimpleMarkovChainFromExecutableModelGenerator(m);
markovChainGenerator.Configuration = configuration;
markovChainGenerator.AddFormulaToCheck(final100Formula);
markovChainGenerator.AddFormulaToCheck(final200Formula);
var ltmc = markovChainGenerator.GenerateLabeledMarkovChain();
var modelChecker = new ConfigurationDependentLtmcModelChecker(configuration, ltmc, Output.TextWriterAdapter());
using (modelChecker)
{
probabilityOfFinal100 = modelChecker.CalculateProbability(final100Formula);
probabilityOfFinal200 = modelChecker.CalculateProbability(final200Formula);
}
probabilityOfFinal100.Is(0.0, 0.000001).ShouldBe(true);
probabilityOfFinal200.Is(1.0, 0.000001).ShouldBe(true);
}
/// <summary>
/// Initizializes the model that should be analyzed.
/// </summary>
/// <param name="configuration">The configuration that should be used for the analyses.</param>
/// <param name="model">The model that should be analyzed.</param>
/// <param name="hazard">The hazard that should be analyzed.</param>
internal void InitializeModel(AnalysisConfiguration configuration, ModelBase model, Formula hazard)
{
Model = model;
ForcedFaults = new FaultSet(Model.Faults.Where(fault => fault.Activation == Activation.Forced));
SuppressedFaults = new FaultSet(Model.Faults.Where(fault => fault.Activation == Activation.Suppressed));
InitializeModel(configuration, hazard);
}
public CodeAnalyzer(AnalysisConfiguration configuration, ExecutableCodeFactory codeFactory,
ContainerConfiguration containerConfiguration, DockerContainerExecutor executor)
{
Configuration = configuration;
_codeFactory = codeFactory;
ContainerConfiguration = containerConfiguration;
_executor = executor;
}
/// <summary>
/// Initizializes the model that should be analyzed.
/// </summary>
/// <param name="configuration">The configuration that should be used for the analyses.</param>
/// <param name="createFreshModel">The creator for the model that should be checked.</param>
/// <param name="hazard">The hazard that should be analyzed.</param>
internal void InitializeModel(AnalysisConfiguration configuration, CoupledExecutableModelCreator <TExecutableModel> createFreshModel, Formula hazard)
{
RuntimeModelCreator = createFreshModel;
ForcedFaults = new FaultSet(createFreshModel.FaultsInBaseModel.Where(fault => fault.Activation == Activation.Forced));
SuppressedFaults = new FaultSet(createFreshModel.FaultsInBaseModel.Where(fault => fault.Activation == Activation.Suppressed));
InitializeModel(configuration, hazard);
}
public override void SetModelCheckerParameter(bool suppressCounterExampleGeneration, TextWriter output)
{
_suppressCounterExampleGeneration = suppressCounterExampleGeneration;
_analysisConfiguration = AnalysisConfiguration.Default;
_analysisConfiguration.DefaultTraceOutput = output;
_analysisConfiguration.ModelCapacity = ModelCapacityByMemorySize.Small;
_analysisConfiguration.GenerateCounterExample = !suppressCounterExampleGeneration;
}
/// <summary>
/// Initizializes the model that should be analyzed.
/// </summary>
/// <param name="configuration">The configuration that should be used for the analyses.</param>
/// <param name="hazard">The hazard that should be analyzed.</param>
protected override void InitializeModel(AnalysisConfiguration configuration, Formula hazard)
{
Func <AnalysisModel <TExecutableModel> > createAnalysisModelFunc = () =>
new ActivationMinimalExecutedModel <TExecutableModel>(RuntimeModelCreator, _stateHeaderBytes, configuration.SuccessorCapacity);
var createAnalysisModel = new AnalysisModelCreator <TExecutableModel>(createAnalysisModelFunc);
var invariant = new UnaryFormula(hazard, UnaryOperator.Not);
_invariantChecker = new InvariantChecker <TExecutableModel>(createAnalysisModel, OnOutputWritten, configuration, invariant);
}
/// <summary>
/// Initizializes the model that should be analyzed.
/// </summary>
/// <param name="configuration">The configuration that should be used for the analyses.</param>
/// <param name="hazard">The hazard that should be analyzed.</param>
protected override void InitializeModel(AnalysisConfiguration configuration, Formula hazard)
{
Func <AnalysisModel> createAnalysisModelFunc = () =>
new ActivationMinimalExecutedModel <TExecutableModel>(RuntimeModelCreator, 0, configuration);
var createAnalysisModel = new AnalysisModelCreator(createAnalysisModelFunc);
var invariant = new UnaryFormula(hazard, UnaryOperator.Not);
_invariantChecker = new InvariantChecker(createAnalysisModel, configuration, invariant);
}
/// <summary>
/// Initizializes the model that should be analyzed.
/// </summary>
/// <param name="configuration">The configuration that should be used for the analyses.</param>
/// <param name="hazard">The hazard that should be analyzed.</param>
protected override void InitializeModel(AnalysisConfiguration configuration, Formula hazard)
{
var serializer = new RuntimeModelSerializer();
serializer.Serialize(Model, !hazard);
Func<AnalysisModel> createModel = () =>
new ActivationMinimalExecutedModel(CreateModel(hazard), configuration.SuccessorCapacity);
_invariantChecker = new InvariantChecker(createModel, OnOutputWritten, configuration, formulaIndex: 0);
}
/// <summary>
/// Init Configuration
/// </summary>
/// <returns></returns>
public AnalysisConfiguration Init()
{
var configuration = new AnalysisConfiguration();
var StopSignConfigurations = configuration.StopSignConfigurations;
AddStopSignConfiguration(StopSignConfigurations, new DotConfigurationFactory());
AddStopSignConfiguration(StopSignConfigurations, new QuestionMarkConfigurationFactory());
StopSignConfigurations.Add(Consts.EXCLAMATION_MARK_SIGN, null);
return(configuration);
}
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="createModel">Creates the model that should be checked.</param>
/// <param name="stateFormulas">The state formulas that can be evaluated over the generated state graph.</param>
/// <param name="output">The callback that should be used to output messages.</param>
/// <param name="configuration">The analysis configuration that should be used.</param>
internal StateGraphGenerator(Func<AnalysisModel> createModel, Formula[] stateFormulas,
Action<string> output, AnalysisConfiguration configuration)
: base(createModel, output, configuration)
{
var analyzedModel = AnalyzedModels.First();
_stateGraph = new StateGraph(
Context, stateFormulas, analyzedModel.TransitionSize,
analyzedModel.RuntimeModel, analyzedModel.RuntimeModelCreator);
Context.TraversalParameters.BatchedTransitionActions.Add(() => new StateGraphBuilder(_stateGraph));
}
/// <summary>
/// Initizializes the model that should be analyzed.
/// </summary>
/// <param name="configuration">The configuration that should be used for the analyses.</param>
/// <param name="hazard">The hazard that should be analyzed.</param>
protected override void InitializeModel(AnalysisConfiguration configuration, Formula hazard)
{
var checker = new SSharpChecker { Configuration = configuration };
checker.Configuration.ProgressReportsOnly = false;
checker.OutputWritten += OnOutputWritten;
var stateGraph = checker.GenerateStateGraph(Model, !hazard);
configuration.StateCapacity = Math.Max(1024, (int)(stateGraph.StateCount * 1.5));
_checker = new InvariantChecker(() => new StateGraphModel(stateGraph, configuration.SuccessorCapacity), OnOutputWritten,
configuration, formulaIndex: 0);
}
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);
}
internal DiscreteTimeMarkovChain ConvertToMarkovChain(AnalysisConfiguration configuration, LabeledTransitionMarkovChain labeledTransitionMarkovChain)
{
var ltmcToMc = new LtmcToDtmc(labeledTransitionMarkovChain);
var markovChain = ltmcToMc.MarkovChain;
if (configuration.WriteGraphvizModels)
{
configuration.DefaultTraceOutput.WriteLine("Dtmc Model");
markovChain.ExportToGv(configuration.DefaultTraceOutput);
}
return(markovChain);
}
private MarkovDecisionProcess ConvertToMdpWithFlattening(AnalysisConfiguration configuration, NestedMarkovDecisionProcess nmdp)
{
var nmdpToMpd = new NmdpToMdpByFlattening(nmdp);
var mdp = nmdpToMpd.MarkovDecisionProcess;
if (configuration.WriteGraphvizModels)
{
configuration.DefaultTraceOutput.WriteLine("Mdp Model");
mdp.ExportToGv(configuration.DefaultTraceOutput);
}
return(mdp);
}
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="createModel">Creates the model that should be checked.</param>
/// <param name="output">The callback that should be used to output messages.</param>
/// <param name="configuration">The analysis configuration that should be used.</param>
internal StateGraphGenerator(AnalysisModelCreator <TExecutableModel> createModel,
Action <string> output, AnalysisConfiguration configuration)
: base(createModel, output, configuration, DeriveTransitionSizeFromModel)
{
var analyzedModel = AnalyzedModels.First();
_stateGraph = new StateGraph <TExecutableModel>(
Context, analyzedModel.TransitionSize,
analyzedModel.RuntimeModel, analyzedModel.RuntimeModelCreator);
Context.TraversalParameters.BatchedTransitionActions.Add(() => new StateGraphBuilder <TExecutableModel>(_stateGraph));
}
private MarkovDecisionProcess ConvertToMdpWithNewStates(AnalysisConfiguration configuration, NestedMarkovDecisionProcess nmdp, bool makeConstantDistanceBetweenStates)
{
var nmdpToMpd = new NmdpToMdpByNewStates(nmdp, configuration.DefaultTraceOutput, makeConstantDistanceBetweenStates);
var mdp = nmdpToMpd.MarkovDecisionProcess;
if (configuration.WriteGraphvizModels)
{
configuration.DefaultTraceOutput.WriteLine("Mdp Model");
mdp.ExportToGv(configuration.DefaultTraceOutput);
}
return(mdp);
}
private NestedMarkovDecisionProcess ConvertToNmdp(AnalysisConfiguration configuration, LabeledTransitionMarkovDecisionProcess ltmdp)
{
var ltmdpToNmdp = new LtmdpToNmdp(ltmdp);
var nmdp = ltmdpToNmdp.NestedMarkovDecisionProcess;
if (configuration.WriteGraphvizModels)
{
configuration.DefaultTraceOutput.WriteLine("Nmdp Model");
nmdp.ExportToGv(configuration.DefaultTraceOutput);
}
return(nmdp);
}
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="createModel">Creates the model that should be checked.</param>
/// <param name="configuration">The analysis configuration that should be used.</param>
internal StateGraphGenerator(AnalysisModelCreator createModel,
AnalysisConfiguration configuration)
{
_modelTraverser = new ModelTraverser(createModel, configuration, ModelTraverser.DeriveTransitionSizeFromModel, false);
var analyzedModel = _modelTraverser.AnalyzedModels.OfType <ExecutedModel <TExecutableModel> >().First();
_stateGraph = new StateGraph <TExecutableModel>(
_modelTraverser.Context, analyzedModel.TransitionSize,
analyzedModel.RuntimeModel, analyzedModel.RuntimeModelCreator);
_modelTraverser.Context.TraversalParameters.BatchedTransitionActions.Add(() => new StateGraphBuilder <TExecutableModel>(_stateGraph));
}
private void btnAnalyzeFile_Click(object sender, RoutedEventArgs e)
{
AnalysisConfiguration analysisConfiguration;
// Validate input
if (string.IsNullOrEmpty(this.txtFilePath.Text))
{
MessageBox.Show("You must specify a file to analyze.", Constants.Application.Name + " " + Constants.Application.Version, MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
if (this.IndexDefinitions.Count < 1)
{
MessageBox.Show("You must specify atleast one index to analyze.", Constants.Application.Name + " " + Constants.Application.Version, MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
foreach (IndexDefinition indexDefinition in this.IndexDefinitions)
{
if (string.IsNullOrWhiteSpace(indexDefinition.Name) || indexDefinition.Position == null || indexDefinition.Length == null)
{
MessageBox.Show("You must provide atleast the name, position, and length for all index definitions.", Constants.Application.Name + " " + Constants.Application.Version, MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
}
// Prep config
analysisConfiguration = new AnalysisConfiguration()
{
File = new FileInfo(this.txtFilePath.Text),
ShouldIgnoreHeaderRow = this.chkIgnoreHeader.IsChecked,
ShouldIgnoreTrailerRow = this.chkIgnoreFooter.IsChecked,
ShouldIncludeRowIdColumn = this.chkIncludeRowIdColumn.IsChecked,
ShouldIncludeFlagColumn = this.chkIncludeFlagColumn.IsChecked,
IndexDefinitions = this.IndexDefinitions.ToList <IndexDefinition>()
}.SortIndexDefinitionsByPosition();
if (analysisConfiguration.IndexDefinitions[0].Position == 1)
{
analysisConfiguration.IndexOffset = IndexOffset.One;
}
else
{
analysisConfiguration.IndexOffset = IndexOffset.Zero;
}
// Start analysis
AnalysisWindow analysisWindow = new AnalysisWindow(analysisConfiguration);
analysisWindow.Show();
}
public async static Task Run([QueueTrigger(DataStores.Queues.QueueNameProcessEmail)] string myQueueItem, ILogger log)
//public async static Task Run([HttpTrigger("GET")]string myQueueItem, ILogger log)
{
var dependencies = CoreDependencies.Setup(log);
var receivedMessage = GenericActionMessage.FromString(myQueueItem);
var analysisConfig = AnalysisConfiguration.PopulateConfigFromEnviromentVariables(dependencies);
var now = DateTime.UtcNow;
dependencies.DiagnosticLogging.Verbose("MailProcessor: Timer trigger function executed at: {now} UTC", now);
var repo = new MailProcessorRepository(dependencies);
var engine = new MailProcessingEngine(dependencies, repo, analysisConfig);
await engine.AnalyseAllMailAsync(receivedMessage);
}
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="createModel">Creates the model that should be checked.</param>
/// <param name="executableStateFormulas">The state formulas that can be evaluated over the generated state graph.</param>
/// <param name="output">The callback that should be used to output messages.</param>
/// <param name="configuration">The analysis configuration that should be used.</param>
internal LtmdpGenerator(AnalysisModelCreator <TExecutableModel> createModel, Formula terminateEarlyCondition, Formula[] executableStateFormulas,
Action <string> output, AnalysisConfiguration configuration)
: base(createModel, output, configuration, LabeledTransitionMarkovDecisionProcess.TransitionSize)
{
_mdp = new LabeledTransitionMarkovDecisionProcess(Context.ModelCapacity.NumberOfStates, Context.ModelCapacity.NumberOfTransitions);
_mdp.StateFormulaLabels = executableStateFormulas.Select(stateFormula => stateFormula.Label).ToArray();
Context.TraversalParameters.BatchedTransitionActions.Add(() => new LabeledTransitionMarkovDecisionProcess.LtmdpBuilderDuringTraversal <TExecutableModel>(_mdp, configuration));
if (terminateEarlyCondition != null)
{
_mdp.CreateStutteringState(Context.StutteringStateIndex);
var terminalteEarlyFunc = StateFormulaSetEvaluatorCompilationVisitor.Compile(_mdp.StateFormulaLabels, terminateEarlyCondition);
Context.TraversalParameters.TransitionModifiers.Add(() => new EarlyTerminationModifier <TExecutableModel>(terminalteEarlyFunc));
}
}
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="createModel">Creates the model that should be checked.</param>
/// <param name="output">The callback that should be used to output messages.</param>
/// <param name="configuration">The analysis configuration that should be used.</param>
/// <param name="formulaIndex">The zero-based index of the analyzed formula.</param>
internal InvariantChecker(Func<AnalysisModel> createModel, Action<string> output, AnalysisConfiguration configuration, int formulaIndex)
: base(createModel, output, configuration)
{
Context.TraversalParameters.TransitionActions.Add(() => new InvariantViolationAction(formulaIndex));
}
/// <summary> /// Initizializes the model that should be analyzed. /// </summary> /// <param name="configuration">The configuration that should be used for the analyses.</param> /// <param name="hazard">The hazard that should be analyzed.</param> protected abstract void InitializeModel(AnalysisConfiguration configuration, Formula hazard);
/// <summary>
/// Initializes a new instance.
/// </summary>
/// <param name="loadBalancer">The load balancer that balances the work of multiple <see cref="Worker" /> instances.</param>
/// <param name="configuration">The configuration values for the analysis.</param>
/// <param name="output">The action that should be invoked when output is generated.</param>
public TraversalContext(LoadBalancer loadBalancer, AnalysisConfiguration configuration, Action<string> output)
{
Requires.NotNull(loadBalancer, nameof(loadBalancer));
Requires.NotNull(output, nameof(output));
LoadBalancer = loadBalancer;
Configuration = configuration;
Output = output;
Reset();
}
