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@ -16,7 +16,10 @@ |
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#include "storm/modelchecker/results/ExplicitQualitativeCheckResult.h"
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#include "storm/modelchecker/results/ExplicitQuantitativeCheckResult.h"
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#include "storm/modelchecker/helper/ltl/SparseLTLHelper.h"
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#include "storm/logic/FragmentSpecification.h"
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#include "storm/logic/ExtractMaximalStateFormulasVisitor.h"
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#include "storm/adapters/RationalFunctionAdapter.h"
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@ -24,6 +27,10 @@ |
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#include "storm/exceptions/InvalidPropertyException.h"
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#include "storm/exceptions/NotImplementedException.h"
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#include "storm/settings/SettingsManager.h"
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#include "storm/settings/modules/GeneralSettings.h"
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#include "storm/settings/modules/DebugSettings.h"
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namespace storm { |
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namespace modelchecker { |
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template <typename SparseCtmcModelType> |
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@ -99,7 +106,7 @@ namespace storm { |
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STORM_LOG_INFO("Extracting maximal state formulas and computing satisfaction sets for path formula: " << pathFormula); |
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std::map<std::string, storm::storage::BitVector> apSets; |
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// TODO simplify APs
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for (auto& p : extracted) { |
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STORM_LOG_INFO(" Computing satisfaction set for atomic proposition \"" << p.first << "\" <=> " << *p.second << "..."); |
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@ -112,16 +119,6 @@ namespace storm { |
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apSets[p.first] = std::move(sat); |
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} |
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STORM_LOG_INFO("Resulting LTL path formula: " << *ltlFormula); |
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STORM_LOG_INFO(" in prefix format: " << ltlFormula->toPrefixString()); |
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std::shared_ptr<storm::automata::DeterministicAutomaton> da = storm::automata::LTL2DeterministicAutomaton::ltl2da(*ltlFormula, false); |
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STORM_LOG_INFO("Deterministic automaton for LTL formula has " |
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<< da->getNumberOfStates() << " states, " |
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<< da->getAPSet().size() << " atomic propositions and " |
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<< *da->getAcceptance()->getAcceptanceExpression() << " as acceptance condition."); |
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const SparseCtmcModelType& ctmc = this->getModel(); |
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typedef typename storm::models::sparse::Dtmc<typename SparseCtmcModelType::ValueType> SparseDtmcModelType; |
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@ -135,9 +132,19 @@ namespace storm { |
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SparseDtmcModelType embeddedDtmc(std::move(probabilityMatrix), std::move(labeling)); |
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storm::solver::SolveGoal<ValueType> goal(embeddedDtmc, checkTask); |
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STORM_LOG_INFO("Performing ltl probability computations in embedded DTMC..."); |
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if (storm::settings::getModule<storm::settings::modules::DebugSettings>().isTraceSet()) { |
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STORM_LOG_TRACE("Writing model to model.dot"); |
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std::ofstream modelDot("model.dot"); |
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embeddedDtmc.writeDotToStream(modelDot); |
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modelDot.close(); |
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} |
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storm::modelchecker::helper::SparseLTLHelper<ValueType, false> helper(embeddedDtmc.getTransitionMatrix(), this->getModel().getNumberOfStates()); |
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storm::modelchecker::helper::setInformationFromCheckTaskDeterministic(helper, checkTask, embeddedDtmc); |
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std::vector<ValueType> numericResult = helper.computeLTLProbabilities(env, *ltlFormula, apSets); |
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STORM_LOG_INFO("Performing DA product and probability computations in embedded DTMC..."); |
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std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeDAProductProbabilities(env, embeddedDtmc, std::move(goal), *da, apSets, checkTask.isQualitativeSet()); |
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// we can directly return the numericResult vector as the state space of the CTMC and the embedded DTMC are exactly the same
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return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult))); |
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} |
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