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(MDP-LTL) SparseMdpPrctlModelChecker: handle LTL

Conflicts:
	src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.cpp
tempestpy_adaptions
Joachim Klein 4 years ago
committed by Stefan Pranger
parent
commit
04a8bec83f
  1. 155
      src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.cpp
  2. 5
      src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.h
  3. 27
      src/storm/modelchecker/prctl/helper/SparseMdpPrctlHelper.cpp

155
src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.cpp

@ -1,5 +1,7 @@
#include "storm/modelchecker/prctl/SparseMdpPrctlModelChecker.h"
#include <sstream>
#include "storm/utility/constants.h"
#include "storm/utility/macros.h"
#include "storm/utility/vector.h"
@ -12,6 +14,10 @@
#include "storm/logic/FragmentSpecification.h"
#include "storm/transformer/DAProductBuilder.h"
#include "storm/logic/ExtractMaximalStateFormulasVisitor.h"
#include "storm/automata/LTL2DeterministicAutomaton.h"
#include "storm/models/sparse/StandardRewardModel.h"
#include "storm/modelchecker/prctl/helper/SparseMdpPrctlHelper.h"
@ -23,12 +29,14 @@
#include "storm/modelchecker/multiobjective/multiObjectiveModelChecking.h"
#include "storm/solver/SolveGoal.h"
#include "storm/storage/BitVector.h"
#include "storm/shields/ShieldHandling.h"
#include "storm/settings/SettingsManager.h"
#include "storm/settings/modules/GeneralSettings.h"
#include "storm/settings/modules/DebugSettings.h"
#include "storm/exceptions/InvalidStateException.h"
#include "storm/exceptions/InvalidPropertyException.h"
@ -48,7 +56,7 @@ namespace storm {
template<typename SparseMdpModelType>
bool SparseMdpPrctlModelChecker<SparseMdpModelType>::canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask, bool* requiresSingleInitialState) {
storm::logic::Formula const& formula = checkTask.getFormula();
if (formula.isInFragment(storm::logic::prctl().setLongRunAverageRewardFormulasAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setConditionalProbabilityFormulasAllowed(true).setOnlyEventuallyFormuluasInConditionalFormulasAllowed(true).setTotalRewardFormulasAllowed(true).setRewardBoundedUntilFormulasAllowed(true).setRewardBoundedCumulativeRewardFormulasAllowed(true).setMultiDimensionalBoundedUntilFormulasAllowed(true).setMultiDimensionalCumulativeRewardFormulasAllowed(true).setTimeOperatorsAllowed(true).setReachbilityTimeFormulasAllowed(true).setRewardAccumulationAllowed(true))) {
if (formula.isInFragment(storm::logic::prctlstar().setLongRunAverageRewardFormulasAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setConditionalProbabilityFormulasAllowed(true).setOnlyEventuallyFormuluasInConditionalFormulasAllowed(true).setTotalRewardFormulasAllowed(true).setRewardBoundedUntilFormulasAllowed(true).setRewardBoundedCumulativeRewardFormulasAllowed(true).setMultiDimensionalBoundedUntilFormulasAllowed(true).setMultiDimensionalCumulativeRewardFormulasAllowed(true).setTimeOperatorsAllowed(true).setReachbilityTimeFormulasAllowed(true).setRewardAccumulationAllowed(true))) {
return true;
} else if (checkTask.isOnlyInitialStatesRelevantSet()) {
auto multiObjectiveFragment = storm::logic::multiObjective().setCumulativeRewardFormulasAllowed(true).setTimeBoundedCumulativeRewardFormulasAllowed(true).setStepBoundedCumulativeRewardFormulasAllowed(true).setRewardBoundedCumulativeRewardFormulasAllowed(true).setTimeBoundedUntilFormulasAllowed(true).setStepBoundedUntilFormulasAllowed(true).setRewardBoundedUntilFormulasAllowed(true).setMultiDimensionalBoundedUntilFormulasAllowed(true).setMultiDimensionalCumulativeRewardFormulasAllowed(true).setRewardAccumulationAllowed(true);
@ -169,6 +177,149 @@ namespace storm {
return std::make_unique<ExplicitQuantitativeCheckResult<ValueType>>(result);
}
template<typename SparseMdpModelType>
std::unique_ptr<CheckResult> SparseMdpPrctlModelChecker<SparseMdpModelType>::computeLTLProbabilities(Environment const& env, CheckTask<storm::logic::PathFormula, ValueType> const& checkTask) {
storm::logic::PathFormula const& pathFormula = checkTask.getFormula();
STORM_LOG_THROW(checkTask.isOptimizationDirectionSet(), storm::exceptions::InvalidPropertyException, "Formula needs to specify whether minimal or maximal values are to be computed on nondeterministic model.");
std::vector<storm::logic::ExtractMaximalStateFormulasVisitor::LabelFormulaPair> extracted;
std::shared_ptr<storm::logic::Formula> ltlFormula = storm::logic::ExtractMaximalStateFormulasVisitor::extract(pathFormula, extracted);
STORM_LOG_INFO("Extracting maximal state formulas and computing satisfaction sets for path formula: " << pathFormula);
std::map<std::string, storm::storage::BitVector> apSets;
for (auto& p : extracted) {
STORM_LOG_INFO(" Computing satisfaction set for atomic proposition \"" << p.first << "\" <=> " << *p.second << "...");
std::unique_ptr<CheckResult> subResultPointer = this->check(env, *p.second);
ExplicitQualitativeCheckResult const& subResult = subResultPointer->asExplicitQualitativeCheckResult();
auto sat = subResult.getTruthValuesVector();
STORM_LOG_INFO(" Atomic proposition \"" << p.first << "\" is satisfied by " << sat.getNumberOfSetBits() << " states.");
apSets[p.first] = std::move(sat);
}
bool minimize = false;
CheckTask<storm::logic::Formula, ValueType> subTask(checkTask);
if (checkTask.getOptimizationDirection() == OptimizationDirection::Minimize) {
minimize = true;
// negate
ltlFormula = std::make_shared<storm::logic::UnaryBooleanPathFormula>(storm::logic::UnaryBooleanOperatorType::Not, ltlFormula);
STORM_LOG_INFO("Computing Pmin, proceeding with negated LTL formula.");
subTask = checkTask.negate().substituteFormula(*ltlFormula);
} else {
subTask = checkTask.substituteFormula(*ltlFormula);
}
STORM_LOG_INFO("Resulting LTL path formula: " << *ltlFormula);
STORM_LOG_INFO(" in prefix format: " << ltlFormula->toPrefixString());
std::shared_ptr<storm::automata::DeterministicAutomaton> da = storm::automata::LTL2DeterministicAutomaton::ltl2da(*ltlFormula);
STORM_LOG_INFO("Deterministic automaton for LTL formula has "
<< da->getNumberOfStates() << " states, "
<< da->getAPSet().size() << " atomic propositions and "
<< *da->getAcceptance()->getAcceptanceExpression() << " as acceptance condition.");
const SparseMdpModelType& mdp = this->getModel();
storm::solver::SolveGoal<ValueType> goal(mdp, subTask);
std::vector<ValueType> numericResult = computeDAProductProbabilities(env, std::move(goal), *da, apSets, checkTask.isQualitativeSet());
if (minimize) {
// compute 1-Pmax[!ltl]
for (auto& value : numericResult) {
value = storm::utility::one<ValueType>() - value;
}
}
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseMdpModelType>
std::vector<typename SparseMdpPrctlModelChecker<SparseMdpModelType>::ValueType> SparseMdpPrctlModelChecker<SparseMdpModelType>::computeDAProductProbabilities(Environment const& env, storm::solver::SolveGoal<typename SparseMdpPrctlModelChecker<SparseMdpModelType>::ValueType>&& goal, storm::automata::DeterministicAutomaton const& da, std::map<std::string, storm::storage::BitVector>& apSatSets, bool qualitative) const {
STORM_LOG_THROW(goal.hasDirection() && goal.direction() == OptimizationDirection::Maximize, storm::exceptions::InvalidPropertyException, "Can only compute maximizing probabilties for DA product with MDP");
const storm::automata::APSet& apSet = da.getAPSet();
std::vector<storm::storage::BitVector> apLabels;
for (const std::string& ap : apSet.getAPs()) {
auto it = apSatSets.find(ap);
STORM_LOG_THROW(it != apSatSets.end(), storm::exceptions::InvalidOperationException, "Deterministic automaton has AP " << ap << ", does not appear in formula");
apLabels.push_back(std::move(it->second));
}
const SparseMdpModelType& mdp = this->getModel();
storm::storage::BitVector statesOfInterest;
if (goal.hasRelevantValues()) {
statesOfInterest = goal.relevantValues();
} else {
// product from all model states
statesOfInterest = storm::storage::BitVector(mdp.getNumberOfStates(), true);
}
STORM_LOG_INFO("Building MDP-DA product with deterministic automaton, starting from " << statesOfInterest.getNumberOfSetBits() << " model states...");
storm::transformer::DAProductBuilder productBuilder(da, apLabels);
auto product = productBuilder.build(mdp, statesOfInterest);
STORM_LOG_INFO("Product MDP has " << product->getProductModel().getNumberOfStates() << " states and "
<< product->getProductModel().getNumberOfTransitions() << " transitions.");
if (storm::settings::getModule<storm::settings::modules::DebugSettings>().isTraceSet()) {
STORM_LOG_TRACE("Writing model to model.dot");
std::ofstream modelDot("model.dot");
mdp.writeDotToStream(modelDot);
modelDot.close();
STORM_LOG_TRACE("Writing product model to product.dot");
std::ofstream productDot("product.dot");
product->getProductModel().writeDotToStream(productDot);
productDot.close();
STORM_LOG_TRACE("Product model mapping:");
std::stringstream str;
product->printMapping(str);
STORM_LOG_TRACE(str.str());
}
STORM_LOG_INFO("Computing accepting end components...");
storm::storage::BitVector accepting = storm::modelchecker::helper::SparseMdpPrctlHelper<ValueType>::computeSurelyAcceptingPmaxStates(*product->getAcceptance(), product->getProductModel().getTransitionMatrix(), product->getProductModel().getBackwardTransitions());
if (accepting.empty()) {
STORM_LOG_INFO("No accepting states, skipping probability computation.");
std::vector<ValueType> numericResult(this->getModel().getNumberOfStates(), storm::utility::zero<ValueType>());
return numericResult;
}
STORM_LOG_INFO("Computing probabilities for reaching accepting BSCCs...");
storm::storage::BitVector bvTrue(product->getProductModel().getNumberOfStates(), true);
storm::solver::SolveGoal<ValueType> solveGoalProduct(goal);
storm::storage::BitVector soiProduct(product->getStatesOfInterest());
solveGoalProduct.setRelevantValues(std::move(soiProduct));
std::vector<ValueType> prodNumericResult
= std::move(storm::modelchecker::helper::SparseMdpPrctlHelper<ValueType>::computeUntilProbabilities(env,
std::move(solveGoalProduct),
product->getProductModel().getTransitionMatrix(),
product->getProductModel().getBackwardTransitions(),
bvTrue,
accepting,
qualitative,
false // no schedulers (at the moment)
).values);
std::vector<ValueType> numericResult = product->projectToOriginalModel(this->getModel(), prodNumericResult);
return numericResult;
}
template<typename SparseMdpModelType>
std::unique_ptr<CheckResult> SparseMdpPrctlModelChecker<SparseMdpModelType>::computeConditionalProbabilities(Environment const& env, CheckTask<storm::logic::ConditionalFormula, ValueType> const& checkTask) {
storm::logic::ConditionalFormula const& conditionalFormula = checkTask.getFormula();

5
src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.h

@ -4,6 +4,8 @@
#include "storm/modelchecker/propositional/SparsePropositionalModelChecker.h"
#include "storm/models/sparse/Mdp.h"
#include "storm/solver/MinMaxLinearEquationSolver.h"
#include "storm/solver/SolveGoal.h"
namespace storm {
@ -39,9 +41,12 @@ namespace storm {
virtual std::unique_ptr<CheckResult> computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeStateFormulaProbabilities(Environment const& env, CheckTask<storm::logic::Formula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeLTLProbabilities(Environment const& env, CheckTask<storm::logic::PathFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> checkMultiObjectiveFormula(Environment const& env, CheckTask<storm::logic::MultiObjectiveFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> checkQuantileFormula(Environment const& env, CheckTask<storm::logic::QuantileFormula, ValueType> const& checkTask) override;
private:
std::vector<ValueType> computeDAProductProbabilities(Environment const& env, storm::solver::SolveGoal<ValueType>&& goal, storm::automata::DeterministicAutomaton const& da, std::map<std::string, storm::storage::BitVector>& apSatSets, bool qualitative) const;
};
} // namespace modelchecker
} // namespace storm

27
src/storm/modelchecker/prctl/helper/SparseMdpPrctlHelper.cpp

@ -749,7 +749,6 @@ namespace storm {
template<typename ValueType>
storm::storage::BitVector SparseMdpPrctlHelper<ValueType>::computeSurelyAcceptingPmaxStates(automata::AcceptanceCondition const& acceptance, storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::SparseMatrix<ValueType> const& backwardTransitions) {
STORM_LOG_INFO("Computing accepting states for acceptance condition " << *acceptance.getAcceptanceExpression());
std::cout << transitionMatrix.getRowGroupCount() << std::endl;
if (acceptance.getAcceptanceExpression()->isTRUE()) {
STORM_LOG_INFO(" TRUE -> all states accepting (assumes no deadlock in the model)");
return storm::storage::BitVector(transitionMatrix.getRowGroupCount(), true);
@ -762,16 +761,18 @@ namespace storm {
storm::storage::BitVector acceptingStates(transitionMatrix.getRowGroupCount(), false);
std::size_t accMECs = 0;
std::size_t allMECs = 0;
std::size_t i = 0;
for (auto const& conjunction : dnf) {
// determine the set of states of the subMDP that can satisfy the condition
// => remove all states that would violate Fins in the conjunction
storm::storage::BitVector allowed(transitionMatrix.getRowGroupCount(), true);
STORM_LOG_INFO("Handle conjunction " << i);
STORM_LOG_DEBUG("Handle conjunction " << i);
for (auto const& literal : conjunction) {
STORM_LOG_INFO(" " << *literal);
STORM_LOG_DEBUG(" " << *literal);
if (literal->isTRUE()) {
// skip
} else if (literal->isFALSE()) {
@ -798,12 +799,13 @@ namespace storm {
continue;
}
STORM_LOG_INFO(" Allowed states: " << allowed);
STORM_LOG_DEBUG(" Allowed states: " << allowed);
// compute MECs in the allowed fragment
storm::storage::MaximalEndComponentDecomposition<ValueType> mecs(transitionMatrix, backwardTransitions, allowed);
allMECs += mecs.size();
for (const auto& mec : mecs) {
STORM_LOG_INFO("Inspect MEC: " << mec);
STORM_LOG_DEBUG("Inspect MEC: " << mec);
bool accepting = true;
for (auto const& literal : conjunction) {
@ -817,16 +819,16 @@ namespace storm {
const storm::storage::BitVector& accSet = acceptance.getAcceptanceSet(atom.getAcceptanceSet());
if (atom.getType() == cpphoafparser::AtomAcceptance::TEMPORAL_INF) {
if (atom.isNegated()) {
STORM_LOG_INFO("Checking against " << ~accSet);
STORM_LOG_DEBUG("Checking against " << ~accSet);
if (!mec.containsAnyState(~accSet)) {
STORM_LOG_INFO(" -> not satisfied");
STORM_LOG_DEBUG(" -> not satisfied");
accepting = false;
break;
}
} else {
STORM_LOG_INFO("Checking against " << accSet);
STORM_LOG_DEBUG("Checking against " << accSet);
if (!mec.containsAnyState(accSet)) {
STORM_LOG_INFO(" -> not satisfied");
STORM_LOG_DEBUG(" -> not satisfied");
accepting = false;
break;
}
@ -839,7 +841,8 @@ namespace storm {
}
if (accepting) {
STORM_LOG_INFO("MEC is accepting");
accMECs++;
STORM_LOG_DEBUG("MEC is accepting");
for (auto const& stateChoicePair : mec) {
acceptingStates.set(stateChoicePair.first);
}
@ -848,7 +851,9 @@ namespace storm {
}
}
STORM_LOG_INFO("Accepting states: " << acceptingStates);
STORM_LOG_DEBUG("Accepting states: " << acceptingStates);
STORM_LOG_INFO("Found " << acceptingStates.getNumberOfSetBits() << " states in " << accMECs << " accepting MECs (considered " << allMECs << " MECs).");
return acceptingStates;
}

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