128 lines
8.0 KiB
128 lines
8.0 KiB
#ifndef STORM_UTILITY_COUNTEREXAMPLE_H_
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#define STORM_UTILITY_COUNTEREXAMPLE_H_
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#include <queue>
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#include <utility>
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#include "storm/storage/sparse/PrismChoiceOrigins.h"
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namespace storm {
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namespace utility {
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namespace counterexamples {
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/*!
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* Computes a set of labels that is executed along all paths from any state to a target state.
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*
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* @param labelSet the considered label sets (a label set is assigned to each choice)
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*
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* @return The set of labels that is visited on all paths from any state to a target state.
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*/
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template <typename T>
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std::vector<boost::container::flat_set<uint_fast64_t>> getGuaranteedLabelSets(storm::models::sparse::Model<T> const& model, std::vector<boost::container::flat_set<uint_fast64_t>> const& labelSets, storm::storage::BitVector const& psiStates, boost::container::flat_set<uint_fast64_t> const& relevantLabels) {
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STORM_LOG_THROW(model.getNumberOfChoices() == labelSets.size(), storm::exceptions::InvalidArgumentException, "The given number of labels does not match the number of choices.");
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// Get some data from the model for convenient access.
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storm::storage::SparseMatrix<T> const& transitionMatrix = model.getTransitionMatrix();
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std::vector<uint_fast64_t> const& nondeterministicChoiceIndices = transitionMatrix.getRowGroupIndices();
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storm::storage::SparseMatrix<T> backwardTransitions = model.getBackwardTransitions();
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// Now we compute the set of labels that is present on all paths from the initial to the target states.
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std::vector<boost::container::flat_set<uint_fast64_t>> analysisInformation(model.getNumberOfStates(), relevantLabels);
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std::queue<uint_fast64_t> worklist;
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storm::storage::BitVector statesInWorkList(model.getNumberOfStates());
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storm::storage::BitVector markedStates(model.getNumberOfStates());
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// Initially, put all predecessors of target states in the worklist and empty the analysis information them.
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for (auto state : psiStates) {
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analysisInformation[state] = boost::container::flat_set<uint_fast64_t>();
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for (auto const& predecessorEntry : backwardTransitions.getRow(state)) {
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if (predecessorEntry.getColumn() != state && !statesInWorkList.get(predecessorEntry.getColumn()) && !psiStates.get(predecessorEntry.getColumn())) {
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worklist.push(predecessorEntry.getColumn());
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statesInWorkList.set(predecessorEntry.getColumn());
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markedStates.set(state);
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}
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}
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}
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uint_fast64_t iters = 0;
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while (!worklist.empty()) {
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++iters;
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uint_fast64_t const& currentState = worklist.front();
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size_t analysisInformationSizeBefore = analysisInformation[currentState].size();
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// Iterate over the successor states for all choices and compute new analysis information.
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for (uint_fast64_t currentChoice = nondeterministicChoiceIndices[currentState]; currentChoice < nondeterministicChoiceIndices[currentState + 1]; ++currentChoice) {
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bool modifiedChoice = false;
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for (auto const& entry : transitionMatrix.getRow(currentChoice)) {
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if (markedStates.get(entry.getColumn())) {
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modifiedChoice = true;
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break;
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}
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}
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// If we can reach the target state with this choice, we need to intersect the current
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// analysis information with the union of the new analysis information of the target state
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// and the choice labels.
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if (modifiedChoice) {
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for (auto const& entry : transitionMatrix.getRow(currentChoice)) {
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if (markedStates.get(entry.getColumn())) {
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boost::container::flat_set<uint_fast64_t> tmpIntersection;
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std::set_intersection(analysisInformation[currentState].begin(), analysisInformation[currentState].end(), analysisInformation[entry.getColumn()].begin(), analysisInformation[entry.getColumn()].end(), std::inserter(tmpIntersection, tmpIntersection.begin()));
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std::set_intersection(analysisInformation[currentState].begin(), analysisInformation[currentState].end(), labelSets[currentChoice].begin(), labelSets[currentChoice].end(), std::inserter(tmpIntersection, tmpIntersection.begin()));
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analysisInformation[currentState] = std::move(tmpIntersection);
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}
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}
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}
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}
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// If the analysis information changed, we need to update it and put all the predecessors of this
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// state in the worklist.
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if (analysisInformation[currentState].size() != analysisInformationSizeBefore) {
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for (auto const& predecessorEntry : backwardTransitions.getRow(currentState)) {
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// Only put the predecessor in the worklist if it's not already a target state.
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if (!psiStates.get(predecessorEntry.getColumn()) && !statesInWorkList.get(predecessorEntry.getColumn())) {
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worklist.push(predecessorEntry.getColumn());
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statesInWorkList.set(predecessorEntry.getColumn());
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}
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}
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markedStates.set(currentState, true);
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} else {
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markedStates.set(currentState, false);
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}
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worklist.pop();
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statesInWorkList.set(currentState, false);
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}
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return analysisInformation;
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}
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/*!
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* Computes a set of labels that is executed along all paths from an initial state to a target state.
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*
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* @param labelSet the considered label sets (a label set is assigned to each choice)
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*
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* @return The set of labels that is executed on all paths from an initial state to a target state.
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*/
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template <typename T>
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boost::container::flat_set<uint_fast64_t> getGuaranteedLabelSet(storm::models::sparse::Model<T> const& model, std::vector<boost::container::flat_set<uint_fast64_t>> const& labelSets, storm::storage::BitVector const& psiStates, boost::container::flat_set<uint_fast64_t> const& relevantLabels) {
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std::vector<boost::container::flat_set<uint_fast64_t>> guaranteedLabels = getGuaranteedLabelSets(model, labelSets, psiStates, relevantLabels);
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boost::container::flat_set<uint_fast64_t> knownLabels(relevantLabels);
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boost::container::flat_set<uint_fast64_t> tempIntersection;
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for (auto initialState : model.getInitialStates()) {
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std::set_intersection(knownLabels.begin(), knownLabels.end(), guaranteedLabels[initialState].begin(), guaranteedLabels[initialState].end(), std::inserter(tempIntersection, tempIntersection.end()));
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std::swap(knownLabels, tempIntersection);
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}
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return knownLabels;
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}
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} // namespace counterexample
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} // namespace utility
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} // namespace storm
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#endif /* STORM_UTILITY_COUNTEREXAMPLE_H_ */
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