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@ -55,18 +55,44 @@ namespace storm { |
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return name; |
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return name; |
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} |
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} |
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void Model::flattenSynchronizationVector(Automaton& newAutomaton, std::unordered_map<std::vector<uint64_t>, uint64_t, storm::utility::vector::VectorHash<uint64_t>>& newLocations, std::unordered_map<std::string, uint64_t>& newActionToIndex, std::vector<std::set<uint64_t>>& synchronizingActionIndices, SynchronizationVector const& vector, std::vector<std::reference_wrapper<Automaton const>> const& composedAutomata, storm::solver::SmtSolver& solver) const { |
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struct ConditionalMetaEdge { |
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ConditionalMetaEdge() : actionIndex(0) { |
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// Intentionally left empty.
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} |
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uint64_t actionIndex; |
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std::vector<std::pair<uint64_t, uint64_t>> condition; |
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boost::optional<storm::expressions::Expression> rate; |
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std::vector<storm::expressions::Expression> probabilities; |
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std::vector<std::vector<std::pair<uint64_t, uint64_t>>> effects; |
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std::shared_ptr<TemplateEdge> templateEdge; |
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}; |
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std::vector<ConditionalMetaEdge> createSynchronizingMetaEdges(Model const& model, Automaton& newAutomaton, std::vector<std::set<uint64_t>>& synchronizingActionIndices, SynchronizationVector const& vector, std::vector<std::reference_wrapper<Automaton const>> const& composedAutomata, storm::solver::SmtSolver& solver) { |
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std::vector<ConditionalMetaEdge> result; |
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// Gather all participating automata and the corresponding input symbols.
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// Gather all participating automata and the corresponding input symbols.
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std::vector<std::pair<std::reference_wrapper<Automaton const>, uint64_t>> participatingAutomataAndActions; |
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std::vector<std::pair<std::reference_wrapper<Automaton const>, uint64_t>> participatingAutomataAndActions; |
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for (uint64_t i = 0; i < composedAutomata.size(); ++i) { |
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for (uint64_t i = 0; i < composedAutomata.size(); ++i) { |
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std::string const& actionName = vector.getInput(i); |
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std::string const& actionName = vector.getInput(i); |
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if (!SynchronizationVector::isNoActionInput(actionName)) { |
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if (!SynchronizationVector::isNoActionInput(actionName)) { |
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uint64_t actionIndex = getActionIndex(actionName); |
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uint64_t actionIndex = model.getActionIndex(actionName); |
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participatingAutomataAndActions.push_back(std::make_pair(composedAutomata[i], actionIndex)); |
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participatingAutomataAndActions.push_back(std::make_pair(composedAutomata[i], actionIndex)); |
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synchronizingActionIndices[i].insert(actionIndex); |
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synchronizingActionIndices[i].insert(actionIndex); |
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} |
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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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void addEdgesToReachableLocations(Model const& model, std::vector<std::reference_wrapper<Automaton const&>> const& composedAutomata, Automaton& newAutomaton, std::vector<ConditionalMetaEdge> const& conditionalMetaEdges) { |
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std::vector<uint64_t> locations; |
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for (auto const& automaton : composedAutomata) { |
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// TODO: iterate over initial locations of all automata
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} |
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} |
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} |
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Model Model::flattenComposition(std::shared_ptr<storm::utility::solver::SmtSolverFactory> const& smtSolverFactory) const { |
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Model Model::flattenComposition(std::shared_ptr<storm::utility::solver::SmtSolverFactory> const& smtSolverFactory) const { |
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@ -132,19 +158,18 @@ namespace storm { |
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solver->add(variable.getExpressionVariable() <= variable.getUpperBound()); |
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solver->add(variable.getExpressionVariable() <= variable.getUpperBound()); |
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} |
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} |
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// Since we need to reduce a tuple of locations to a single location, we keep a hashmap for this.
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std::unordered_map<std::vector<uint64_t>, uint64_t, storm::utility::vector::VectorHash<uint64_t>> newLocations; |
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std::unordered_map<std::string, uint64_t> newActionToIndex; |
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// Perform all necessary synchronizations and keep track which action indices participate in synchronization.
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// Perform all necessary synchronizations and keep track which action indices participate in synchronization.
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std::vector<std::set<uint64_t>> synchronizingActionIndices; |
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std::vector<std::set<uint64_t>> synchronizingActionIndices; |
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std::vector<ConditionalMetaEdge> conditionalMetaEdges; |
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for (auto const& vector : parallelComposition.getSynchronizationVectors()) { |
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for (auto const& vector : parallelComposition.getSynchronizationVectors()) { |
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// If less then 2 automata participate, there is no need to perform a synchronization.
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// If less then 2 automata participate, there is no need to perform a synchronization.
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if (vector.getNumberOfActionInputs() <= 1) { |
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if (vector.getNumberOfActionInputs() <= 1) { |
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continue; |
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continue; |
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} |
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} |
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flattenSynchronizationVector(newAutomaton, newLocations, newActionToIndex, synchronizingActionIndices, vector, composedAutomata, *solver); |
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// Create all conditional template edges corresponding to this synchronization vector.
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std::vector<ConditionalMetaEdge> newConditionalMetaEdges = createSynchronizingMetaEdges(*this, newAutomaton, synchronizingActionIndices, vector, composedAutomata, *solver); |
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conditionalMetaEdges.insert(conditionalMetaEdges.end(), newConditionalMetaEdges.begin(), newConditionalMetaEdges.end()); |
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} |
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} |
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// Now add all edges with action indices that were not mentioned in synchronization vectors.
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// Now add all edges with action indices that were not mentioned in synchronization vectors.
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@ -152,166 +177,25 @@ namespace storm { |
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Automaton const& automaton = composedAutomata[i].get(); |
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Automaton const& automaton = composedAutomata[i].get(); |
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for (auto const& edge : automaton.getEdges()) { |
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for (auto const& edge : automaton.getEdges()) { |
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if (synchronizingActionIndices[i].find(edge.getActionIndex()) == synchronizingActionIndices[i].end()) { |
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if (synchronizingActionIndices[i].find(edge.getActionIndex()) == synchronizingActionIndices[i].end()) { |
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// TODO: create template edge and create all concrete edges.
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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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// // Now go through the modules, gather the variables, construct the name of the new module and assert the
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// // bounds of the discovered variables.
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// for (auto const& module : this->getModules()) {
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// newModuleName << module.getName() << "_";
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// allBooleanVariables.insert(allBooleanVariables.end(), module.getBooleanVariables().begin(), module.getBooleanVariables().end());
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// allIntegerVariables.insert(allIntegerVariables.end(), module.getIntegerVariables().begin(), module.getIntegerVariables().end());
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//
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// // The commands without a synchronizing action name, can simply be copied (plus adjusting the global
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// // indices of the command and its updates).
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// for (auto const& command : module.getCommands()) {
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// if (!command.isLabeled()) {
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// std::vector<storm::prism::Update> updates;
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// updates.reserve(command.getUpdates().size());
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//
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// for (auto const& update : command.getUpdates()) {
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// updates.push_back(storm::prism::Update(nextUpdateIndex, update.getLikelihoodExpression(), update.getAssignments(), update.getFilename(), 0));
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// ++nextUpdateIndex;
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// }
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//
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// newCommands.push_back(storm::prism::Command(nextCommandIndex, command.isMarkovian(), actionToIndexMap.find("")->second, "", command.getGuardExpression(), updates, command.getFilename(), 0));
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// ++nextCommandIndex;
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// }
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// }
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// }
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//
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// // Save state of solver so that we can always restore the point where we have exactly the constant values
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// // and variables bounds on the assertion stack.
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// solver->push();
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//
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// // Now we need to enumerate all possible combinations of synchronizing commands. For this, we iterate over
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// // all actions and let the solver enumerate the possible combinations of commands that can be enabled together.
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// for (auto const& actionIndex : this->getSynchronizingActionIndices()) {
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// bool noCombinationsForAction = false;
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//
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// // Prepare the list that stores for each module the list of commands with the given action.
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// std::vector<std::vector<std::reference_wrapper<storm::prism::Command const>>> possibleCommands;
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//
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// for (auto const& module : this->getModules()) {
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// // If the module has no command with this action, we can skip it.
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// if (!module.hasActionIndex(actionIndex)) {
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// continue;
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// }
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//
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// std::set<uint_fast64_t> const& commandIndices = module.getCommandIndicesByActionIndex(actionIndex);
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//
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// // If there is no command even though the module has this action, there is no valid command
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// // combination with this action.
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// if (commandIndices.empty()) {
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// noCombinationsForAction = true;
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// break;
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// }
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//
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// // Prepare empty list of commands for this module.
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// possibleCommands.push_back(std::vector<std::reference_wrapper<storm::prism::Command const>>());
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//
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// // Add references to the commands labeled with the current action.
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// for (auto const& commandIndex : commandIndices) {
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// possibleCommands.back().push_back(module.getCommand(commandIndex));
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// }
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// }
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//
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// // If there are no valid combinations for the action, we need to skip the generation of synchronizing
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// // commands.
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// if (!noCombinationsForAction) {
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// // Save the solver state to be able to restore it when this action index is done.
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// solver->push();
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//
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// // Start by creating a fresh auxiliary variable for each command and link it with the guard.
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// std::vector<std::vector<storm::expressions::Variable>> commandVariables(possibleCommands.size());
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// std::vector<storm::expressions::Variable> allCommandVariables;
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// for (uint_fast64_t outerIndex = 0; outerIndex < possibleCommands.size(); ++outerIndex) {
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// // Create auxiliary variables and link them with the guards.
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// for (uint_fast64_t innerIndex = 0; innerIndex < possibleCommands[outerIndex].size(); ++innerIndex) {
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// commandVariables[outerIndex].push_back(manager->declareFreshBooleanVariable());
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// allCommandVariables.push_back(commandVariables[outerIndex].back());
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// solver->add(implies(commandVariables[outerIndex].back(), possibleCommands[outerIndex][innerIndex].get().getGuardExpression()));
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// }
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//
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// storm::expressions::Expression atLeastOneCommandFromModule = manager->boolean(false);
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// for (auto const& commandVariable : commandVariables[outerIndex]) {
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// atLeastOneCommandFromModule = atLeastOneCommandFromModule || commandVariable;
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// }
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// solver->add(atLeastOneCommandFromModule);
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// }
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//
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// // Now we are in a position to start the enumeration over all command variables. While doing so, we
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// // keep track of previously seen command combinations, because the AllSat procedures are not
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// // always guaranteed to only provide distinct models.
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// std::unordered_set<std::vector<uint_fast64_t>, storm::utility::vector::VectorHash<uint_fast64_t>> seenCommandCombinations;
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// solver->allSat(allCommandVariables, [&] (storm::solver::SmtSolver::ModelReference& modelReference) -> bool {
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// // Now we need to reconstruct the chosen commands from the valuation of the command variables.
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// std::vector<std::vector<std::reference_wrapper<Command const>>> chosenCommands(possibleCommands.size());
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//
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// for (uint_fast64_t outerIndex = 0; outerIndex < commandVariables.size(); ++outerIndex) {
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// for (uint_fast64_t innerIndex = 0; innerIndex < commandVariables[outerIndex].size(); ++innerIndex) {
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// if (modelReference.getBooleanValue(commandVariables[outerIndex][innerIndex])) {
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// chosenCommands[outerIndex].push_back(possibleCommands[outerIndex][innerIndex]);
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// }
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// }
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// }
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//
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// // Now that we have retrieved the commands, we need to build their synchronizations and add them
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// // to the flattened module.
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// std::vector<std::vector<std::reference_wrapper<Command const>>::const_iterator> iterators;
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// for (auto const& element : chosenCommands) {
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// iterators.push_back(element.begin());
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// }
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//
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// bool movedAtLeastOneIterator = false;
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// std::vector<std::reference_wrapper<Command const>> commandCombination(chosenCommands.size(), chosenCommands.front().front());
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// std::vector<uint_fast64_t> commandCombinationIndices(iterators.size());
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// do {
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// for (uint_fast64_t index = 0; index < iterators.size(); ++index) {
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// commandCombination[index] = *iterators[index];
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// commandCombinationIndices[index] = commandCombination[index].get().getGlobalIndex();
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// }
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//
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// // Only add the command combination if it was not previously seen.
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// auto seenIt = seenCommandCombinations.find(commandCombinationIndices);
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// if (seenIt == seenCommandCombinations.end()) {
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// newCommands.push_back(synchronizeCommands(nextCommandIndex, actionIndex, nextUpdateIndex, indexToActionMap.find(actionIndex)->second, commandCombination));
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// seenCommandCombinations.insert(commandCombinationIndices);
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//
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// // Move the counters appropriately.
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// ++nextCommandIndex;
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// nextUpdateIndex += newCommands.back().getNumberOfUpdates();
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// }
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//
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// movedAtLeastOneIterator = false;
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// for (uint_fast64_t index = 0; index < iterators.size(); ++index) {
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// ++iterators[index];
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// if (iterators[index] != chosenCommands[index].cend()) {
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// movedAtLeastOneIterator = true;
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// break;
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// } else {
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// iterators[index] = chosenCommands[index].cbegin();
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// }
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// }
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// } while (movedAtLeastOneIterator);
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//
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// return true;
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// });
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//
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// solver->pop();
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// }
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// }
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//
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// // Finally, we can create the module and the program and return it.
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// storm::prism::Module singleModule(newModuleName.str(), allBooleanVariables, allIntegerVariables, newCommands, this->getFilename(), 0);
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// return Program(manager, this->getModelType(), this->getConstants(), std::vector<storm::prism::BooleanVariable>(), std::vector<storm::prism::IntegerVariable>(), this->getFormulas(), {singleModule}, actionToIndexMap, this->getRewardModels(), this->getLabels(), this->getOptionalInitialConstruct(), this->getOptionalSystemCompositionConstruct(), this->getFilename(), 0, true);
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std::shared_ptr<TemplateEdge> templateEdge = newAutomaton.createTemplateEdge(edge.getGuard()); |
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conditionalMetaEdges.emplace_back(); |
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ConditionalMetaEdge& conditionalMetaEdge = conditionalMetaEdges.back(); |
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conditionalMetaEdge.actionIndex = edge.getActionIndex(); |
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conditionalMetaEdge.condition.emplace_back(static_cast<uint64_t>(i), edge.getSourceLocationIndex()); |
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conditionalMetaEdge.rate = edge.getOptionalRate(); |
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for (auto const& destination : edge.getDestinations()) { |
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conditionalMetaEdge.effects.emplace_back(i, destination.getLocationIndex()); |
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conditionalMetaEdge.probabilities.emplace_back(destination.getProbability()); |
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} |
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conditionalMetaEdge.templateEdge = templateEdge; |
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} |
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} |
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} |
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addEdgesToReachableLocations(*this, composedAutomata, newAutomaton, conditionalMetaEdges); |
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} |
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} |
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uint64_t Model::addAction(Action const& action) { |
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uint64_t Model::addAction(Action const& action) { |
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