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@ -27,6 +27,10 @@ namespace storm { |
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this->formulas = formulas; |
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this->validate = validate; |
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this->resultCheckOnSamples = std::map<carl::Variable, std::pair<bool, bool>>(); |
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if (model != nullptr) { |
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std::shared_ptr<storm::models::sparse::Model<ValueType>> sparseModel = model->as<storm::models::sparse::Model<ValueType>>(); |
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this->extender = new storm::analysis::LatticeExtender<ValueType>(sparseModel); |
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} |
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} |
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template <typename ValueType> |
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@ -124,7 +128,7 @@ namespace storm { |
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} |
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finalCheckWatch.stop(); |
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STORM_PRINT(std::endl << "Time for monotonicitycheck on lattice: " << finalCheckWatch << "." << std::endl << std::endl); |
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STORM_PRINT(std::endl << "Time for monotonicity check on lattice: " << finalCheckWatch << "." << std::endl << std::endl); |
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return result; |
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} |
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@ -132,29 +136,114 @@ namespace storm { |
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std::map<storm::analysis::Lattice*, std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>>> MonotonicityChecker<ValueType>::createLattice() { |
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// Transform to Lattices
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storm::utility::Stopwatch latticeWatch(true); |
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std::shared_ptr<storm::models::sparse::Model<ValueType>> sparseModel = model->as<storm::models::sparse::Model<ValueType>>(); |
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storm::analysis::LatticeExtender<ValueType> *extender = new storm::analysis::LatticeExtender<ValueType>(sparseModel); |
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std::tuple<storm::analysis::Lattice*, uint_fast64_t, uint_fast64_t> criticalTuple = extender->toLattice(formulas); |
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std::map<storm::analysis::Lattice*, std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>>> result; |
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if (model->isOfType(storm::models::ModelType::Dtmc)) { |
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auto dtmc = model->as<storm::models::sparse::Dtmc<ValueType>>(); |
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auto assumptionChecker = storm::analysis::AssumptionChecker<ValueType>(formulas[0], dtmc, 3); |
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auto assumptionMaker = storm::analysis::AssumptionMaker<ValueType>(extender, &assumptionChecker, sparseModel->getNumberOfStates(), validate); |
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result = assumptionMaker.makeAssumptions(std::get<0>(criticalTuple), std::get<1>(criticalTuple), std::get<2>(criticalTuple)); |
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} else if (model->isOfType(storm::models::ModelType::Dtmc)) { |
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auto mdp = model->as<storm::models::sparse::Mdp<ValueType>>(); |
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auto assumptionChecker = storm::analysis::AssumptionChecker<ValueType>(formulas[0], mdp, 3); |
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auto assumptionMaker = storm::analysis::AssumptionMaker<ValueType>(extender, &assumptionChecker, sparseModel->getNumberOfStates(), validate); |
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result = assumptionMaker.makeAssumptions(std::get<0>(criticalTuple), std::get<1>(criticalTuple), std::get<2>(criticalTuple)); |
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auto val1 = std::get<1>(criticalTuple); |
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auto val2 = std::get<2>(criticalTuple); |
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auto numberOfStates = model->getNumberOfStates(); |
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std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>> assumptions; |
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if (val1 == numberOfStates && val2 == numberOfStates) { |
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result.insert(std::pair<storm::analysis::Lattice*, std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>>>(std::get<0>(criticalTuple), assumptions)); |
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} else if (val1 != numberOfStates && val2 != numberOfStates) { |
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storm::analysis::AssumptionChecker<ValueType> *assumptionChecker; |
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if (model->isOfType(storm::models::ModelType::Dtmc)) { |
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auto dtmc = model->as<storm::models::sparse::Dtmc<ValueType>>(); |
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assumptionChecker = new storm::analysis::AssumptionChecker<ValueType>(formulas[0], dtmc, 3); |
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} else if (model->isOfType(storm::models::ModelType::Mdp)) { |
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auto mdp = model->as<storm::models::sparse::Mdp<ValueType>>(); |
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assumptionChecker = new storm::analysis::AssumptionChecker<ValueType>(formulas[0], mdp, 3); |
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} else { |
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STORM_LOG_THROW(false, storm::exceptions::InvalidOperationException, |
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"Unable to perform monotonicity analysis on the provided model type."); |
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} |
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auto assumptionMaker = new storm::analysis::AssumptionMaker<ValueType>(assumptionChecker, numberOfStates, validate); |
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result = extendLatticeWithAssumptions(std::get<0>(criticalTuple), assumptionMaker, val1, val2, assumptions); |
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} else { |
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STORM_LOG_THROW(false, storm::exceptions::InvalidOperationException, "Unable to perform monotonicity analysis on the provided model type."); |
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assert(false); |
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} |
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latticeWatch.stop(); |
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STORM_PRINT(std::endl << "Total time for lattice creation: " << latticeWatch << "." << std::endl << std::endl); |
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return result; |
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} |
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template <typename ValueType> |
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std::map<storm::analysis::Lattice*, std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>>> MonotonicityChecker<ValueType>::extendLatticeWithAssumptions(storm::analysis::Lattice* lattice, storm::analysis::AssumptionMaker<ValueType>* assumptionMaker, uint_fast64_t val1, uint_fast64_t val2, std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>> assumptions) { |
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std::map<storm::analysis::Lattice*, std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>>> result; |
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auto numberOfStates = model->getNumberOfStates(); |
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if (val1 == numberOfStates || val2 == numberOfStates) { |
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assert (val1 == val2); |
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result.insert(std::pair<storm::analysis::Lattice*, std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>>>(lattice, assumptions)); |
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} else { |
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auto assumptionPair = assumptionMaker->createAndCheckAssumption(val1, val2, lattice); |
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assert (assumptionPair.size() == 2); |
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auto itr = assumptionPair.begin(); |
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auto assumption1 = *itr; |
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++itr; |
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auto assumption2 = *itr; |
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if (!assumption1.second && !assumption2.second) { |
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// TODO check op lattice of er nog monotonicity is
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auto assumptionsCopy = std::vector<std::shared_ptr<storm::expressions::BinaryRelationExpression>>(assumptions); |
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auto latticeCopy = new storm::analysis::Lattice(lattice); |
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assumptions.push_back(assumption1.first); |
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assumptionsCopy.push_back(assumption2.first); |
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auto criticalTuple = extender->extendLattice(lattice, assumption1.first); |
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if (somewhereMonotonicity(std::get<0>(criticalTuple))) { |
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auto map = extendLatticeWithAssumptions(std::get<0>(criticalTuple), assumptionMaker, std::get<1>(criticalTuple), std::get<2>(criticalTuple), assumptions); |
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result.insert(map.begin(), map.end()); |
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} |
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criticalTuple = extender->extendLattice(latticeCopy, assumption2.first); |
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if (somewhereMonotonicity(std::get<0>(criticalTuple))) { |
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auto map = extendLatticeWithAssumptions(std::get<0>(criticalTuple), assumptionMaker, |
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std::get<1>(criticalTuple), std::get<2>(criticalTuple), |
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assumptionsCopy); |
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result.insert(map.begin(), map.end()); |
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} |
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} else if (assumption1.second && assumption2.second) { |
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auto assumption = assumptionMaker->createEqualAssumption(val1, val2); |
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if (!validate) { |
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assumptions.push_back(assumption); |
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} |
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// if validate is true and both hold, then they must be valid, so no need to add to assumptions
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auto criticalTuple = extender->extendLattice(lattice, assumption); |
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if (somewhereMonotonicity(std::get<0>(criticalTuple))) { |
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result = extendLatticeWithAssumptions(std::get<0>(criticalTuple), assumptionMaker, std::get<1>(criticalTuple), std::get<2>(criticalTuple), assumptions); |
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} |
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} else if (assumption1.second) { |
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if (!validate) { |
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assumptions.push_back(assumption1.first); |
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} |
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// if validate is true and both hold, then they must be valid, so no need to add to assumptions
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auto criticalTuple = extender->extendLattice(lattice, assumption1.first); |
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if (somewhereMonotonicity(std::get<0>(criticalTuple))) { |
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result = extendLatticeWithAssumptions(std::get<0>(criticalTuple), assumptionMaker, std::get<1>(criticalTuple), std::get<2>(criticalTuple), assumptions); |
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} |
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} else { |
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assert (assumption2.second); |
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if (!validate) { |
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assumptions.push_back(assumption2.first); |
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} |
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// if validate is true and both hold, then they must be valid, so no need to add to assumptions
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auto criticalTuple = extender->extendLattice(lattice, assumption2.first); |
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if (somewhereMonotonicity(std::get<0>(criticalTuple))) { |
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result = extendLatticeWithAssumptions(std::get<0>(criticalTuple), assumptionMaker, std::get<1>(criticalTuple), std::get<2>(criticalTuple), assumptions); |
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} |
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} |
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} |
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return result; |
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} |
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template <typename ValueType> |
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std::map<carl::Variable, std::pair<bool, bool>> MonotonicityChecker<ValueType>::analyseMonotonicity(uint_fast64_t j, storm::analysis::Lattice* lattice, storm::storage::SparseMatrix<ValueType> matrix) { |
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storm::utility::Stopwatch analyseWatch(true); |
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@ -220,6 +309,7 @@ namespace storm { |
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value->first &= derivative3.constantPart() >= 0; |
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value->second &= derivative3.constantPart() <= 0; |
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} else if (compare == storm::analysis::Lattice::SAME) { |
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// TODO: klopt dit
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// Behaviour doesn't matter, as the states are at the same level.
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} else { |
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// As the relation between the states is unknown, we can't claim anything about the monotonicity.
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@ -269,6 +359,73 @@ namespace storm { |
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return varsMonotone; |
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} |
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template <typename ValueType> |
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bool MonotonicityChecker<ValueType>::somewhereMonotonicity(storm::analysis::Lattice* lattice) { |
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std::shared_ptr<storm::models::sparse::Model<ValueType>> sparseModel = model->as<storm::models::sparse::Model<ValueType>>(); |
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auto matrix = sparseModel->getTransitionMatrix(); |
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// TODO: tussenresultaten hergebruiken
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std::map<carl::Variable, std::pair<bool, bool>> varsMonotone; |
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for (uint_fast64_t i = 0; i < matrix.getColumnCount(); ++i) { |
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// go over all rows
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auto row = matrix.getRow(i); |
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auto first = (*row.begin()); |
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if (first.getValue() != ValueType(1)) { |
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std::map<uint_fast64_t, ValueType> transitions; |
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for (auto itr = row.begin(); itr != row.end(); ++itr) { |
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transitions.insert(std::pair<uint_fast64_t, ValueType>((*itr).getColumn(), (*itr).getValue())); |
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} |
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auto val = first.getValue(); |
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auto vars = val.gatherVariables(); |
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for (auto itr = vars.begin(); itr != vars.end(); ++itr) { |
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if (varsMonotone.find(*itr) == varsMonotone.end()) { |
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varsMonotone[*itr].first = true; |
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varsMonotone[*itr].second = true; |
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} |
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std::pair<bool, bool> *value = &varsMonotone.find(*itr)->second; |
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std::pair<bool, bool> old = *value; |
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for (auto itr2 = transitions.begin(); itr2 != transitions.end(); ++itr2) { |
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for (auto itr3 = transitions.begin(); itr3 != transitions.end(); ++itr3) { |
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auto derivative2 = (*itr2).second.derivative(*itr); |
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auto derivative3 = (*itr3).second.derivative(*itr); |
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STORM_LOG_THROW(derivative2.isConstant() && derivative3.isConstant(), |
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storm::exceptions::NotSupportedException, |
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"Expecting derivative to be constant"); |
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auto compare = lattice->compare((*itr2).first, (*itr3).first); |
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if (compare == storm::analysis::Lattice::ABOVE) { |
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// As the first state (itr2) is above the second state (itr3) it is sufficient to look at the derivative of itr2.
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value->first &= derivative2.constantPart() >= 0; |
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value->second &= derivative2.constantPart() <= 0; |
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} else if (compare == storm::analysis::Lattice::BELOW) { |
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// As the second state (itr3) is above the first state (itr2) it is sufficient to look at the derivative of itr3.
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value->first &= derivative3.constantPart() >= 0; |
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value->second &= derivative3.constantPart() <= 0; |
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} else if (compare == storm::analysis::Lattice::SAME) { |
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// Behaviour doesn't matter, as the states are at the same level.
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} else { |
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// As the relation between the states is unknown, we don't do anything
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} |
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} |
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} |
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} |
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} |
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} |
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bool result = false; |
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for (auto itr = varsMonotone.begin(); !result && itr != varsMonotone.end(); ++itr) { |
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result = itr->second.first || itr->second.second; |
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} |
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return result; |
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} |
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template <typename ValueType> |
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std::map<carl::Variable, std::pair<bool, bool>> MonotonicityChecker<ValueType>::checkOnSamples(std::shared_ptr<storm::models::sparse::Dtmc<ValueType>> model, uint_fast64_t numberOfSamples) { |
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storm::utility::Stopwatch samplesWatch(true); |
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Jip Spel
6 years ago