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removed model from SparseLTLHelper

tempestpy_adaptions
hannah 4 years ago
committed by Stefan Pranger
parent
f8d9773131
commit
ffe70ea056
7 changed files with 51 additions and 122 deletions
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  1. 43
      src/storm/modelchecker/helper/ltl/SparseLTLHelper.cpp
  2. 21
      src/storm/modelchecker/helper/ltl/SparseLTLHelper.h
  3. 4
      src/storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.cpp
  4. 84
      src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.cpp
  5. 11
      src/storm/transformer/DAProductBuilder.h
  6. 7
      src/storm/transformer/Product.h
  7. 3
      src/storm/transformer/ProductBuilder.h

43
src/storm/modelchecker/helper/ltl/SparseLTLHelper.cpp
View File

@ -3,9 +3,6 @@
#include "storm/transformer/DAProductBuilder.h" #include "storm/transformer/DAProductBuilder.h"
#include "storm/automata/LTL2DeterministicAutomaton.h" #include "storm/automata/LTL2DeterministicAutomaton.h"
#include "storm/models/sparse/Dtmc.h"
#include "storm/models/sparse/Mdp.h"
#include "storm/modelchecker/prctl/helper/SparseDtmcPrctlHelper.h" #include "storm/modelchecker/prctl/helper/SparseDtmcPrctlHelper.h"
#include "storm/modelchecker/prctl/helper/SparseMdpPrctlHelper.h" #include "storm/modelchecker/prctl/helper/SparseMdpPrctlHelper.h"
@ -19,13 +16,13 @@ namespace storm {
namespace modelchecker { namespace modelchecker {
namespace helper { namespace helper {
template <typename ValueType, typename Model, bool Nondeterministic>
SparseLTLHelper<ValueType, Model, Nondeterministic>::SparseLTLHelper(Model const& model, storm::storage::SparseMatrix<ValueType> const& transitionMatrix) : _model(model), _transitionMatrix(transitionMatrix) {
template <typename ValueType, bool Nondeterministic>
SparseLTLHelper<ValueType, Nondeterministic>::SparseLTLHelper(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, std::size_t numberOfStates) : _transitionMatrix(transitionMatrix), _numberOfStates(numberOfStates) {
// Intentionally left empty. // Intentionally left empty.
} }
template<typename ValueType, typename Model, bool Nondeterministic>
std::vector<ValueType> SparseLTLHelper<ValueType, Model, Nondeterministic>::computeDAProductProbabilities(Environment const& env, storm::solver::SolveGoal<ValueType>&& goal, storm::automata::DeterministicAutomaton const& da, std::map<std::string, storm::storage::BitVector>& apSatSets, bool qualitative) {
template<typename ValueType, bool Nondeterministic>
std::vector<ValueType> SparseLTLHelper<ValueType, Nondeterministic>::computeDAProductProbabilities(Environment const& env, storm::solver::SolveGoal<ValueType>&& goal, storm::automata::DeterministicAutomaton const& da, std::map<std::string, storm::storage::BitVector>& apSatSets, bool qualitative) {
STORM_LOG_THROW((!Nondeterministic) || goal.hasDirection() && goal.direction() == OptimizationDirection::Maximize, storm::exceptions::InvalidPropertyException, "Can only compute maximizing probabilties for DA product with MDP"); STORM_LOG_THROW((!Nondeterministic) || goal.hasDirection() && goal.direction() == OptimizationDirection::Maximize, storm::exceptions::InvalidPropertyException, "Can only compute maximizing probabilties for DA product with MDP");
@ -44,14 +41,14 @@ namespace storm {
statesOfInterest = goal.relevantValues(); statesOfInterest = goal.relevantValues();
} else { } else {
// product from all model states // product from all model states
statesOfInterest = storm::storage::BitVector(this->_model.getNumberOfStates(), true);
statesOfInterest = storm::storage::BitVector(this->_numberOfStates, true);
} }
STORM_LOG_INFO("Building "+ (Nondeterministic ? std::string("MDP-DA") : std::string("DTMC-DA")) +"product with deterministic automaton, starting from " << statesOfInterest.getNumberOfSetBits() << " model states..."); STORM_LOG_INFO("Building "+ (Nondeterministic ? std::string("MDP-DA") : std::string("DTMC-DA")) +"product with deterministic automaton, starting from " << statesOfInterest.getNumberOfSetBits() << " model states...");
storm::transformer::DAProductBuilder productBuilder(da, apLabels); storm::transformer::DAProductBuilder productBuilder(da, apLabels);
auto product = productBuilder.build(this->_model, statesOfInterest);
auto product = productBuilder.build<productModelType>(this->_transitionMatrix, statesOfInterest);
STORM_LOG_INFO("Product "+ (Nondeterministic ? std::string("MDP-DA") : std::string("DTMC")) +" has " << product->getProductModel().getNumberOfStates() << " states and " STORM_LOG_INFO("Product "+ (Nondeterministic ? std::string("MDP-DA") : std::string("DTMC")) +" has " << product->getProductModel().getNumberOfStates() << " states and "
<< product->getProductModel().getNumberOfTransitions() << " transitions."); << product->getProductModel().getNumberOfTransitions() << " transitions.");
@ -59,7 +56,7 @@ namespace storm {
if (storm::settings::getModule<storm::settings::modules::DebugSettings>().isTraceSet()) { if (storm::settings::getModule<storm::settings::modules::DebugSettings>().isTraceSet()) {
STORM_LOG_TRACE("Writing model to model.dot"); STORM_LOG_TRACE("Writing model to model.dot");
std::ofstream modelDot("model.dot"); std::ofstream modelDot("model.dot");
this->_model.writeDotToStream(modelDot);
// this->_model.writeDotToStream(modelDot); // TODO
modelDot.close(); modelDot.close();
STORM_LOG_TRACE("Writing product model to product.dot"); STORM_LOG_TRACE("Writing product model to product.dot");
@ -82,7 +79,7 @@ namespace storm {
accepting = storm::modelchecker::helper::SparseMdpPrctlHelper<ValueType>::computeSurelyAcceptingPmaxStates(*product->getAcceptance(), product->getProductModel().getTransitionMatrix(), product->getProductModel().getBackwardTransitions()); accepting = storm::modelchecker::helper::SparseMdpPrctlHelper<ValueType>::computeSurelyAcceptingPmaxStates(*product->getAcceptance(), product->getProductModel().getTransitionMatrix(), product->getProductModel().getBackwardTransitions());
if (accepting.empty()) { if (accepting.empty()) {
STORM_LOG_INFO("No accepting states, skipping probability computation."); STORM_LOG_INFO("No accepting states, skipping probability computation.");
std::vector<ValueType> numericResult(this->_model.getNumberOfStates(), storm::utility::zero<ValueType>());
std::vector<ValueType> numericResult(this->_numberOfStates, storm::utility::zero<ValueType>());
return numericResult; return numericResult;
} }
@ -108,12 +105,12 @@ namespace storm {
if (acceptingBSCCs == 0) { if (acceptingBSCCs == 0) {
STORM_LOG_INFO("No accepting BSCCs, skipping probability computation."); STORM_LOG_INFO("No accepting BSCCs, skipping probability computation.");
std::vector<ValueType> numericResult(this->_model.getNumberOfStates(), storm::utility::zero<ValueType>());
std::vector<ValueType> numericResult(this->_numberOfStates, storm::utility::zero<ValueType>());
return numericResult; return numericResult;
} }
} }
STORM_LOG_INFO("Computing probabilities for reaching accepting BSCCs...");
STORM_LOG_INFO("Computing probabilities for reaching accepting components...");
storm::storage::BitVector bvTrue(product->getProductModel().getNumberOfStates(), true); storm::storage::BitVector bvTrue(product->getProductModel().getNumberOfStates(), true);
@ -124,8 +121,7 @@ namespace storm {
std::vector<ValueType> prodNumericResult; std::vector<ValueType> prodNumericResult;
if (Nondeterministic) { if (Nondeterministic) {
prodNumericResult
= std::move(storm::modelchecker::helper::SparseMdpPrctlHelper<ValueType>::computeUntilProbabilities(env,
prodNumericResult = std::move(storm::modelchecker::helper::SparseMdpPrctlHelper<ValueType>::computeUntilProbabilities(env,
std::move(solveGoalProduct), std::move(solveGoalProduct),
product->getProductModel().getTransitionMatrix(), product->getProductModel().getTransitionMatrix(),
product->getProductModel().getBackwardTransitions(), product->getProductModel().getBackwardTransitions(),
@ -145,13 +141,13 @@ namespace storm {
qualitative); qualitative);
} }
std::vector<ValueType> numericResult = product->projectToOriginalModel(this->_model, prodNumericResult);
std::vector<ValueType> numericResult = product->projectToOriginalModel(this->_numberOfStates, prodNumericResult);
return numericResult; return numericResult;
} }
template<typename ValueType, typename RewardModelType, bool Nondeterministic>
std::vector <ValueType> SparseLTLHelper<ValueType, RewardModelType, Nondeterministic>::computeLTLProbabilities(Environment const &env, storm::solver::SolveGoal<ValueType>&& goal, storm::logic::Formula const& ltlFormula, std::map<std::string, storm::storage::BitVector>& apSatSets) {
template<typename ValueType, bool Nondeterministic>
std::vector <ValueType> SparseLTLHelper<ValueType, Nondeterministic>::computeLTLProbabilities(Environment const &env, storm::solver::SolveGoal<ValueType>&& goal, storm::logic::Formula const& ltlFormula, std::map<std::string, storm::storage::BitVector>& apSatSets) {
STORM_LOG_INFO("Resulting LTL path formula: " << ltlFormula); STORM_LOG_INFO("Resulting LTL path formula: " << ltlFormula);
STORM_LOG_INFO(" in prefix format: " << ltlFormula.toPrefixString()); STORM_LOG_INFO(" in prefix format: " << ltlFormula.toPrefixString());
@ -165,6 +161,7 @@ namespace storm {
std::vector<ValueType> numericResult = computeDAProductProbabilities(env, std::move(goal), *da, apSatSets, this->isQualitativeSet()); std::vector<ValueType> numericResult = computeDAProductProbabilities(env, std::move(goal), *da, apSatSets, this->isQualitativeSet());
// TODO
/* /*
if(Nondeterministic && this->getOptimizationDirection()==OptimizationDirection::Minimize) { if(Nondeterministic && this->getOptimizationDirection()==OptimizationDirection::Minimize) {
// compute 1-Pmax[!ltl] // compute 1-Pmax[!ltl]
@ -177,13 +174,13 @@ namespace storm {
return numericResult; return numericResult;
} }
template class SparseLTLHelper<double, storm::models::sparse::Dtmc<double>, false>;
template class SparseLTLHelper<double, storm::models::sparse::Mdp<double>, true>;
template class SparseLTLHelper<double, false>;
template class SparseLTLHelper<double, true>;
#ifdef STORM_HAVE_CARL #ifdef STORM_HAVE_CARL
template class SparseLTLHelper<storm::RationalNumber, storm::models::sparse::Dtmc<storm::RationalNumber>, false>;
template class SparseLTLHelper<storm::RationalNumber, storm::models::sparse::Mdp<storm::RationalNumber>, true>;
template class SparseLTLHelper<storm::RationalFunction, storm::models::sparse::Dtmc<storm::RationalFunction>, false>;
template class SparseLTLHelper<storm::RationalNumber, false>;
template class SparseLTLHelper<storm::RationalNumber, true>;
template class SparseLTLHelper<storm::RationalFunction, false>;
#endif #endif

21
src/storm/modelchecker/helper/ltl/SparseLTLHelper.h
View File

@ -1,15 +1,13 @@
#include "storm/modelchecker/helper/SingleValueModelCheckerHelper.h" #include "storm/modelchecker/helper/SingleValueModelCheckerHelper.h"
#include "storm/automata/DeterministicAutomaton.h"
#include "storm/storage/SparseMatrix.h" #include "storm/storage/SparseMatrix.h"
#include "storm/solver/SolveGoal.h" #include "storm/solver/SolveGoal.h"
#include "storm/models/sparse/Dtmc.h"
#include "storm/models/sparse/Mdp.h"
namespace storm { namespace storm {
namespace automata {
// fwd
class DeterministicAutomaton;
}
namespace modelchecker { namespace modelchecker {
namespace helper { namespace helper {
@ -18,14 +16,21 @@ namespace storm {
* @tparam ValueType the type a value can have * @tparam ValueType the type a value can have
* @tparam Nondeterministic true if there is nondeterminism in the Model (MDP) * @tparam Nondeterministic true if there is nondeterminism in the Model (MDP)
*/ */
template<typename ValueType, typename Model, bool Nondeterministic> // todo remove Model
template<typename ValueType, bool Nondeterministic>
class SparseLTLHelper: public SingleValueModelCheckerHelper<ValueType, storm::models::ModelRepresentation::Sparse> { class SparseLTLHelper: public SingleValueModelCheckerHelper<ValueType, storm::models::ModelRepresentation::Sparse> {
public: public:
/*!
* The type of the product automaton model // todo
*/
using productModelType = typename std::conditional<Nondeterministic, storm::models::sparse::Mdp<ValueType>, storm::models::sparse::Dtmc<ValueType>>::type;
/*! /*!
* Initializes the helper for a discrete time (i.e. DTMC, MDP) * Initializes the helper for a discrete time (i.e. DTMC, MDP)
*/ */
SparseLTLHelper(Model const& model, storm::storage::SparseMatrix<ValueType> const& transitionMatrix);
SparseLTLHelper(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, std::size_t numberOfSates);
/*! /*!
@ -44,7 +49,7 @@ namespace storm {
private: private:
storm::storage::SparseMatrix<ValueType> const& _transitionMatrix; storm::storage::SparseMatrix<ValueType> const& _transitionMatrix;
Model const& _model; // todo remove ?
std::size_t _numberOfStates;
}; };
} }

4
src/storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.cpp
View File

@ -162,7 +162,7 @@ namespace storm {
STORM_LOG_INFO("Extracting maximal state formulas and computing satisfaction sets for path formula: " << pathFormula); STORM_LOG_INFO("Extracting maximal state formulas and computing satisfaction sets for path formula: " << pathFormula);
std::map<std::string, storm::storage::BitVector> apSets; std::map<std::string, storm::storage::BitVector> apSets;
// todo instead: std::map<std::string, storm::storage::BitVector> apSets = storm::modelchecker::helper::computeApSets(env, checkTask);
// todo apSets = computeApSets(env, checkTask);
for (auto& p : extracted) { for (auto& p : extracted) {
STORM_LOG_INFO(" Computing satisfaction set for atomic proposition \"" << p.first << "\" <=> " << *p.second << "..."); STORM_LOG_INFO(" Computing satisfaction set for atomic proposition \"" << p.first << "\" <=> " << *p.second << "...");
@ -177,7 +177,7 @@ namespace storm {
const SparseDtmcModelType& dtmc = this->getModel(); const SparseDtmcModelType& dtmc = this->getModel();
storm::modelchecker::helper::SparseLTLHelper<ValueType, SparseDtmcModelType, false> helper(dtmc, dtmc.getTransitionMatrix());
storm::modelchecker::helper::SparseLTLHelper<ValueType, false> helper(dtmc.getTransitionMatrix(), this->getModel().getNumberOfStates());
storm::modelchecker::helper::setInformationFromCheckTaskDeterministic(helper, checkTask, dtmc); storm::modelchecker::helper::setInformationFromCheckTaskDeterministic(helper, checkTask, dtmc);
std::vector<ValueType> numericResult = helper.computeLTLProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), *ltlFormula, apSets); std::vector<ValueType> numericResult = helper.computeLTLProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), *ltlFormula, apSets);

84
src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.cpp
View File

@ -219,7 +219,7 @@ namespace storm {
const SparseMdpModelType& mdp = this->getModel(); const SparseMdpModelType& mdp = this->getModel();
storm::solver::SolveGoal<ValueType> goal(mdp, subTask); storm::solver::SolveGoal<ValueType> goal(mdp, subTask);
storm::modelchecker::helper::SparseLTLHelper<ValueType, SparseMdpModelType, true> helper(mdp, mdp.getTransitionMatrix());
storm::modelchecker::helper::SparseLTLHelper<ValueType, true> helper(mdp.getTransitionMatrix(), this->getModel().getNumberOfStates());
storm::modelchecker::helper::setInformationFromCheckTaskNondeterministic(helper, subTask, mdp); storm::modelchecker::helper::setInformationFromCheckTaskNondeterministic(helper, subTask, mdp);
std::vector<ValueType> numericResult = helper.computeLTLProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), subTask), *ltlFormula, apSets); std::vector<ValueType> numericResult = helper.computeLTLProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), subTask), *ltlFormula, apSets);
@ -233,88 +233,6 @@ namespace storm {
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult))); 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> template<typename SparseMdpModelType>
std::unique_ptr<CheckResult> SparseMdpPrctlModelChecker<SparseMdpModelType>::computeConditionalProbabilities(Environment const& env, CheckTask<storm::logic::ConditionalFormula, ValueType> const& checkTask) { std::unique_ptr<CheckResult> SparseMdpPrctlModelChecker<SparseMdpModelType>::computeConditionalProbabilities(Environment const& env, CheckTask<storm::logic::ConditionalFormula, ValueType> const& checkTask) {
storm::logic::ConditionalFormula const& conditionalFormula = checkTask.getFormula(); storm::logic::ConditionalFormula const& conditionalFormula = checkTask.getFormula();

11
src/storm/transformer/DAProductBuilder.h
View File

@ -18,10 +18,15 @@ namespace storm {
template <typename Model> template <typename Model>
typename DAProduct<Model>::ptr build(const Model& originalModel, const storm::storage::BitVector& statesOfInterest) const { typename DAProduct<Model>::ptr build(const Model& originalModel, const storm::storage::BitVector& statesOfInterest) const {
typename Product<Model>::ptr product = ProductBuilder<Model>::buildProduct(originalModel, *this, statesOfInterest);
return build<Model>(originalModel.getTransitionMatrix(), statesOfInterest);
}
template <typename Model>
typename DAProduct<Model>::ptr build(const storm::storage::SparseMatrix<typename Model::ValueType>& originalMatrix, const storm::storage::BitVector& statesOfInterest) const { //todo transition matrix
typename Product<Model>::ptr product = ProductBuilder<Model>::buildProduct(originalMatrix, *this, statesOfInterest);
storm::automata::AcceptanceCondition::ptr prodAcceptance storm::automata::AcceptanceCondition::ptr prodAcceptance
= da.getAcceptance()->lift(product->getProductModel().getNumberOfStates(),
[&product](std::size_t prodState) {return product->getAutomatonState(prodState);});
= da.getAcceptance()->lift(product->getProductModel().getNumberOfStates(),
[&product](std::size_t prodState) {return product->getAutomatonState(prodState);});
return typename DAProduct<Model>::ptr(new DAProduct<Model>(std::move(*product), prodAcceptance)); return typename DAProduct<Model>::ptr(new DAProduct<Model>(std::move(*product), prodAcceptance));
} }

7
src/storm/transformer/Product.h
View File

@ -60,7 +60,12 @@ namespace storm {
template <typename ValueType> template <typename ValueType>
std::vector<ValueType> projectToOriginalModel(const Model& originalModel, const std::vector<ValueType>& prodValues) { std::vector<ValueType> projectToOriginalModel(const Model& originalModel, const std::vector<ValueType>& prodValues) {
std::vector<ValueType> origValues(originalModel.getNumberOfStates());
return projectToOriginalModel(originalModel.getNumberOfStates(), prodValues);
}
template <typename ValueType>
std::vector<ValueType> projectToOriginalModel(std::size_t numberOfStates, const std::vector<ValueType>& prodValues) {
std::vector<ValueType> origValues(numberOfStates);
for (state_type productState : productModel.getStateLabeling().getStates(productStateOfInterestLabel)) { for (state_type productState : productModel.getStateLabeling().getStates(productStateOfInterestLabel)) {
state_type originalState = getModelState(productState); state_type originalState = getModelState(productState);
origValues.at(originalState) = prodValues.at(productState); origValues.at(originalState) = prodValues.at(productState);

3
src/storm/transformer/ProductBuilder.h
View File

@ -17,8 +17,7 @@ namespace storm {
typedef storm::storage::SparseMatrix<typename Model::ValueType> matrix_type; typedef storm::storage::SparseMatrix<typename Model::ValueType> matrix_type;
template <typename ProductOperator> template <typename ProductOperator>
static typename Product<Model>::ptr buildProduct(const Model& originalModel, ProductOperator& prodOp, const storm::storage::BitVector& statesOfInterest) {
const matrix_type& originalMatrix = originalModel.getTransitionMatrix();
static typename Product<Model>::ptr buildProduct(const matrix_type& originalMatrix , ProductOperator& prodOp, const storm::storage::BitVector& statesOfInterest) {
bool deterministic = originalMatrix.hasTrivialRowGrouping(); bool deterministic = originalMatrix.hasTrivialRowGrouping();
typedef storm::storage::sparse::state_type state_type; typedef storm::storage::sparse::state_type state_type;

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