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FlexibleSparseMatrix is in own class now 

Former-commit-id: fdc569e443
tempestpy_adaptions
Mavo 9 years ago
parent
4eaf8f8443
commit
f67c92b526
4 changed files with 252 additions and 252 deletions
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  1. 205
      src/modelchecker/reachability/SparseDtmcEliminationModelChecker.cpp
  2. 66
      src/modelchecker/reachability/SparseDtmcEliminationModelChecker.h
  3. 110
      src/storage/FlexibleSparseMatrix.cpp
  4. 99
      src/storage/FlexibleSparseMatrix.h

205
src/modelchecker/reachability/SparseDtmcEliminationModelChecker.cpp
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@ -260,10 +260,10 @@ namespace storm {
std::chrono::high_resolution_clock::time_point conversionStart = std::chrono::high_resolution_clock::now();
// Then, we convert the reduced matrix to a more flexible format to be able to perform state elimination more easily.
FlexibleSparseMatrix flexibleMatrix = getFlexibleSparseMatrix(transitionMatrix);
flexibleMatrix.filter(maybeStates, maybeStates);
FlexibleSparseMatrix flexibleBackwardTransitions = getFlexibleSparseMatrix(backwardTransitions);
flexibleBackwardTransitions.filter(maybeStates, maybeStates);
storm::storage::FlexibleSparseMatrix<ValueType> flexibleMatrix(transitionMatrix);
flexibleMatrix.createSubmatrix(maybeStates, maybeStates);
storm::storage::FlexibleSparseMatrix<ValueType> flexibleBackwardTransitions(backwardTransitions);
flexibleBackwardTransitions.createSubmatrix(maybeStates, maybeStates);
auto conversionEnd = std::chrono::high_resolution_clock::now();
std::chrono::high_resolution_clock::time_point modelCheckingStart = std::chrono::high_resolution_clock::now();
@ -345,11 +345,11 @@ namespace storm {
stateValues[*representativeIt] = bsccValue;
}
typename SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::row_type& representativeForwardRow = flexibleMatrix.getRow(*representativeIt);
FlexibleRowType& representativeForwardRow = flexibleMatrix.getRow(*representativeIt);
representativeForwardRow.clear();
representativeForwardRow.shrink_to_fit();
typename SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::row_type& representativeBackwardRow = flexibleBackwardTransitions.getRow(*representativeIt);
FlexibleRowType& representativeBackwardRow = flexibleBackwardTransitions.getRow(*representativeIt);
auto it = representativeBackwardRow.begin(), ite = representativeBackwardRow.end();
for (; it != ite; ++it) {
if (it->getColumn() == *representativeIt) {
@ -739,8 +739,8 @@ namespace storm {
}
std::chrono::high_resolution_clock::time_point conversionStart = std::chrono::high_resolution_clock::now();
FlexibleSparseMatrix flexibleMatrix = getFlexibleSparseMatrix(submatrix);
FlexibleSparseMatrix flexibleBackwardTransitions = getFlexibleSparseMatrix(submatrixTransposed, true);
storm::storage::FlexibleSparseMatrix<ValueType> flexibleMatrix(submatrix);
storm::storage::FlexibleSparseMatrix<ValueType> flexibleBackwardTransitions(submatrixTransposed, true);
std::chrono::high_resolution_clock::time_point conversionEnd = std::chrono::high_resolution_clock::now();
std::unique_ptr<StatePriorityQueue> statePriorities = createStatePriorityQueue(distanceBasedPriorities, flexibleMatrix, flexibleBackwardTransitions, oneStepProbabilities, statesToEliminate);
@ -791,7 +791,7 @@ namespace storm {
for (auto const& element : currentRow) {
// If any of the successors is a phi state, we eliminate it (wrt. all its phi predecessors).
if (!psiStates.get(element.getColumn())) {
typename FlexibleSparseMatrix::row_type const& successorRow = flexibleMatrix.getRow(element.getColumn());
FlexibleRowType const& successorRow = flexibleMatrix.getRow(element.getColumn());
// Eliminate the successor only if there possibly is a psi state reachable through it.
if (successorRow.size() > 1 || (!successorRow.empty() && successorRow.front().getColumn() != element.getColumn())) {
STORM_LOG_TRACE("Found non-psi successor " << element.getColumn() << " that needs to be eliminated.");
@ -821,7 +821,7 @@ namespace storm {
for (auto const& element : currentRow) {
// If any of the successors is a psi state, we eliminate it (wrt. all its psi predecessors).
if (!phiStates.get(element.getColumn())) {
typename FlexibleSparseMatrix::row_type const& successorRow = flexibleMatrix.getRow(element.getColumn());
FlexibleRowType const& successorRow = flexibleMatrix.getRow(element.getColumn());
if (successorRow.size() > 1 || (!successorRow.empty() && successorRow.front().getColumn() != element.getColumn())) {
STORM_LOG_TRACE("Found non-phi successor " << element.getColumn() << " that needs to be eliminated.");
eliminateState(element.getColumn(), flexibleMatrix, flexibleBackwardTransitions, valueUpdateCallback, predecessorUpdateCallback, boost::none, psiFilterCallback, false);
@ -890,7 +890,7 @@ namespace storm {
}
template<typename SparseDtmcModelType>
std::unique_ptr<typename SparseDtmcEliminationModelChecker<SparseDtmcModelType>::StatePriorityQueue> SparseDtmcEliminationModelChecker<SparseDtmcModelType>::createStatePriorityQueue(boost::optional<std::vector<uint_fast64_t>> const& distanceBasedStatePriorities, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<typename SparseDtmcModelType::ValueType>& oneStepProbabilities, storm::storage::BitVector const& states) {
std::unique_ptr<typename SparseDtmcEliminationModelChecker<SparseDtmcModelType>::StatePriorityQueue> SparseDtmcEliminationModelChecker<SparseDtmcModelType>::createStatePriorityQueue(boost::optional<std::vector<uint_fast64_t>> const& distanceBasedStatePriorities, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType>& oneStepProbabilities, storm::storage::BitVector const& states) {
STORM_LOG_TRACE("Creating state priority queue for states " << states);
@ -940,7 +940,7 @@ namespace storm {
}
template<typename SparseDtmcModelType>
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::performPrioritizedStateElimination(std::unique_ptr<StatePriorityQueue>& priorityQueue, FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions, std::vector<ValueType>& values, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly) {
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::performPrioritizedStateElimination(std::unique_ptr<StatePriorityQueue>& priorityQueue, storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, std::vector<ValueType>& values, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly) {
ValueUpdateCallback valueUpdateCallback = [&values] (storm::storage::sparse::state_type const& state, ValueType const& loopProbability) { values[state] = storm::utility::simplify(loopProbability * values[state]); };
PredecessorUpdateCallback predecessorCallback = [&values] (storm::storage::sparse::state_type const& predecessor, ValueType const& probability, storm::storage::sparse::state_type const& state) { values[predecessor] = storm::utility::simplify(values[predecessor] + storm::utility::simplify(probability * values[state])); };
@ -959,7 +959,7 @@ namespace storm {
}
template<typename SparseDtmcModelType>
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::performOrdinaryStateElimination(FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities) {
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::performOrdinaryStateElimination(storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities) {
std::unique_ptr<StatePriorityQueue> statePriorities = createStatePriorityQueue(distanceBasedPriorities, transitionMatrix, backwardTransitions, values, subsystem);
std::size_t numberOfStatesToEliminate = statePriorities->size();
@ -969,7 +969,7 @@ namespace storm {
}
template<typename SparseDtmcModelType>
uint_fast64_t SparseDtmcEliminationModelChecker<SparseDtmcModelType>::performHybridStateElimination(storm::storage::SparseMatrix<ValueType> const& forwardTransitions, FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities) {
uint_fast64_t SparseDtmcEliminationModelChecker<SparseDtmcModelType>::performHybridStateElimination(storm::storage::SparseMatrix<ValueType> const& forwardTransitions, storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities) {
// When using the hybrid technique, we recursively treat the SCCs up to some size.
std::vector<storm::storage::sparse::state_type> entryStateQueue;
STORM_LOG_DEBUG("Eliminating " << subsystem.size() << " states using the hybrid elimination technique." << std::endl);
@ -992,8 +992,8 @@ namespace storm {
std::chrono::high_resolution_clock::time_point conversionStart = std::chrono::high_resolution_clock::now();
// Then, we convert the reduced matrix to a more flexible format to be able to perform state elimination more easily.
FlexibleSparseMatrix flexibleMatrix = getFlexibleSparseMatrix(transitionMatrix);
FlexibleSparseMatrix flexibleBackwardTransitions = getFlexibleSparseMatrix(backwardTransitions);
storm::storage::FlexibleSparseMatrix<ValueType> flexibleMatrix(transitionMatrix);
storm::storage::FlexibleSparseMatrix<ValueType> flexibleBackwardTransitions(backwardTransitions);
auto conversionEnd = std::chrono::high_resolution_clock::now();
std::chrono::high_resolution_clock::time_point modelCheckingStart = std::chrono::high_resolution_clock::now();
@ -1052,7 +1052,7 @@ namespace storm {
}
template<typename SparseDtmcModelType>
uint_fast64_t SparseDtmcEliminationModelChecker<SparseDtmcModelType>::treatScc(FlexibleSparseMatrix& matrix, std::vector<ValueType>& values, storm::storage::BitVector const& entryStates, storm::storage::BitVector const& scc, storm::storage::BitVector const& initialStates, storm::storage::SparseMatrix<ValueType> const& forwardTransitions, FlexibleSparseMatrix& backwardTransitions, bool eliminateEntryStates, uint_fast64_t level, uint_fast64_t maximalSccSize, std::vector<storm::storage::sparse::state_type>& entryStateQueue, bool computeResultsForInitialStatesOnly, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities) {
uint_fast64_t SparseDtmcEliminationModelChecker<SparseDtmcModelType>::treatScc(storm::storage::FlexibleSparseMatrix<ValueType>& matrix, std::vector<ValueType>& values, storm::storage::BitVector const& entryStates, storm::storage::BitVector const& scc, storm::storage::BitVector const& initialStates, storm::storage::SparseMatrix<ValueType> const& forwardTransitions, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, bool eliminateEntryStates, uint_fast64_t level, uint_fast64_t maximalSccSize, std::vector<storm::storage::sparse::state_type>& entryStateQueue, bool computeResultsForInitialStatesOnly, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities) {
uint_fast64_t maximalDepth = level;
// If the SCCs are large enough, we try to split them further.
@ -1068,7 +1068,7 @@ namespace storm {
storm::storage::BitVector remainingSccs(decomposition.size(), true);
// First, get rid of the trivial SCCs.
storm::storage::BitVector statesInTrivialSccs(matrix.getNumberOfRows());
storm::storage::BitVector statesInTrivialSccs(matrix.getRowCount());
for (uint_fast64_t sccIndex = 0; sccIndex < decomposition.size(); ++sccIndex) {
storm::storage::StronglyConnectedComponent const& scc = decomposition.getBlock(sccIndex);
if (scc.isTrivial()) {
@ -1130,17 +1130,14 @@ namespace storm {
}
template<typename SparseDtmcModelType>
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::eliminateState(storm::storage::sparse::state_type state, FlexibleSparseMatrix& matrix, FlexibleSparseMatrix& backwardTransitions,
ValueUpdateCallback const& callback, PredecessorUpdateCallback const& predecessorCallback,
boost::optional<PriorityUpdateCallback> const& priorityUpdateCallback,
boost::optional<PredecessorFilterCallback> const& predecessorFilterCallback, bool removeForwardTransitions) {
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::eliminateState(storm::storage::sparse::state_type state, storm::storage::FlexibleSparseMatrix<ValueType>& matrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, ValueUpdateCallback const& callback, PredecessorUpdateCallback const& predecessorCallback, boost::optional<PriorityUpdateCallback> const& priorityUpdateCallback, boost::optional<PredecessorFilterCallback> const& predecessorFilterCallback, bool removeForwardTransitions) {
STORM_LOG_TRACE("Eliminating state " << state << ".");
// Start by finding loop probability.
bool hasSelfLoop = false;
ValueType loopProbability = storm::utility::zero<ValueType>();
typename FlexibleSparseMatrix::row_type& currentStateSuccessors = matrix.getRow(state);
FlexibleRowType& currentStateSuccessors = matrix.getRow(state);
for (auto entryIt = currentStateSuccessors.begin(), entryIte = currentStateSuccessors.end(); entryIt != entryIte; ++entryIt) {
if (entryIt->getColumn() >= state) {
if (entryIt->getColumn() == state) {
@ -1172,12 +1169,12 @@ namespace storm {
}
// Now connect the predecessors of the state being eliminated with its successors.
typename FlexibleSparseMatrix::row_type& currentStatePredecessors = backwardTransitions.getRow(state);
FlexibleRowType& currentStatePredecessors = backwardTransitions.getRow(state);
// In case we have a constrained elimination, we need to keep track of the new predecessors.
typename FlexibleSparseMatrix::row_type newCurrentStatePredecessors;
FlexibleRowType newCurrentStatePredecessors;
std::vector<typename FlexibleSparseMatrix::row_type> newBackwardProbabilities(currentStateSuccessors.size());
std::vector<FlexibleRowType> newBackwardProbabilities(currentStateSuccessors.size());
for (auto& backwardProbabilities : newBackwardProbabilities) {
backwardProbabilities.reserve(currentStatePredecessors.size());
}
@ -1203,8 +1200,8 @@ namespace storm {
// First, find the probability with which the predecessor can move to the current state, because
// the forward probabilities of the state to be eliminated need to be scaled with this factor.
typename FlexibleSparseMatrix::row_type& predecessorForwardTransitions = matrix.getRow(predecessor);
typename FlexibleSparseMatrix::row_type::iterator multiplyElement = std::find_if(predecessorForwardTransitions.begin(), predecessorForwardTransitions.end(), [&](storm::storage::MatrixEntry<typename FlexibleSparseMatrix::index_type, typename FlexibleSparseMatrix::value_type> const& a) { return a.getColumn() == state; });
FlexibleRowType& predecessorForwardTransitions = matrix.getRow(predecessor);
FlexibleRowIterator multiplyElement = std::find_if(predecessorForwardTransitions.begin(), predecessorForwardTransitions.end(), [&](storm::storage::MatrixEntry<typename storm::storage::FlexibleSparseMatrix<ValueType>::index_type, typename storm::storage::FlexibleSparseMatrix<ValueType>::value_type> const& a) { return a.getColumn() == state; });
// Make sure we have found the probability and set it to zero.
STORM_LOG_THROW(multiplyElement != predecessorForwardTransitions.end(), storm::exceptions::InvalidStateException, "No probability for successor found.");
@ -1212,14 +1209,14 @@ namespace storm {
multiplyElement->setValue(storm::utility::zero<ValueType>());
// At this point, we need to update the (forward) transitions of the predecessor.
typename FlexibleSparseMatrix::row_type::iterator first1 = predecessorForwardTransitions.begin();
typename FlexibleSparseMatrix::row_type::iterator last1 = predecessorForwardTransitions.end();
typename FlexibleSparseMatrix::row_type::iterator first2 = currentStateSuccessors.begin();
typename FlexibleSparseMatrix::row_type::iterator last2 = currentStateSuccessors.end();
FlexibleRowIterator first1 = predecessorForwardTransitions.begin();
FlexibleRowIterator last1 = predecessorForwardTransitions.end();
FlexibleRowIterator first2 = currentStateSuccessors.begin();
FlexibleRowIterator last2 = currentStateSuccessors.end();
typename FlexibleSparseMatrix::row_type newSuccessors;
FlexibleRowType newSuccessors;
newSuccessors.reserve((last1 - first1) + (last2 - first2));
std::insert_iterator<typename FlexibleSparseMatrix::row_type> result(newSuccessors, newSuccessors.end());
std::insert_iterator<FlexibleRowType> result(newSuccessors, newSuccessors.end());
uint_fast64_t successorOffsetInNewBackwardTransitions = 0;
// Now we merge the two successor lists. (Code taken from std::set_union and modified to suit our needs).
@ -1236,7 +1233,7 @@ namespace storm {
}
if (first2 == last2) {
std::copy_if(first1, last1, result, [&] (storm::storage::MatrixEntry<typename FlexibleSparseMatrix::index_type, typename FlexibleSparseMatrix::value_type> const& a) { return a.getColumn() != state; } );
std::copy_if(first1, last1, result, [&] (storm::storage::MatrixEntry<typename storm::storage::FlexibleSparseMatrix<ValueType>::index_type, typename storm::storage::FlexibleSparseMatrix<ValueType>::value_type> const& a) { return a.getColumn() != state; } );
break;
}
if (first2->getColumn() < first1->getColumn()) {
@ -1251,7 +1248,7 @@ namespace storm {
++first1;
} else {
auto probability = storm::utility::simplify(first1->getValue() + storm::utility::simplify(multiplyFactor * first2->getValue()));
*result = storm::storage::MatrixEntry<typename FlexibleSparseMatrix::index_type, typename FlexibleSparseMatrix::value_type>(first1->getColumn(), probability);
*result = storm::storage::MatrixEntry<typename storm::storage::FlexibleSparseMatrix<ValueType>::index_type, typename storm::storage::FlexibleSparseMatrix<ValueType>::value_type>(first1->getColumn(), probability);
newBackwardProbabilities[successorOffsetInNewBackwardTransitions].emplace_back(predecessor, probability);
// std::cout << "(2) adding " << first2->getColumn() << " -> " << newBackwardProbabilities[successorOffsetInNewBackwardTransitions].back() << "[" << successorOffsetInNewBackwardTransitions << "]" << std::endl;
++first1;
@ -1288,7 +1285,7 @@ namespace storm {
continue;
}
typename FlexibleSparseMatrix::row_type& successorBackwardTransitions = backwardTransitions.getRow(successorEntry.getColumn());
FlexibleRowType& successorBackwardTransitions = backwardTransitions.getRow(successorEntry.getColumn());
// std::cout << "old backward trans of " << successorEntry.getColumn() << std::endl;
// for (auto const& trans : successorBackwardTransitions) {
// std::cout << trans << std::endl;
@ -1297,24 +1294,24 @@ namespace storm {
// Delete the current state as a predecessor of the successor state only if we are going to remove the
// current state's forward transitions.
if (removeForwardTransitions) {
typename FlexibleSparseMatrix::row_type::iterator elimIt = std::find_if(successorBackwardTransitions.begin(), successorBackwardTransitions.end(), [&](storm::storage::MatrixEntry<typename FlexibleSparseMatrix::index_type, typename FlexibleSparseMatrix::value_type> const& a) { return a.getColumn() == state; });
FlexibleRowIterator elimIt = std::find_if(successorBackwardTransitions.begin(), successorBackwardTransitions.end(), [&](storm::storage::MatrixEntry<typename storm::storage::FlexibleSparseMatrix<ValueType>::index_type, typename storm::storage::FlexibleSparseMatrix<ValueType>::value_type> const& a) { return a.getColumn() == state; });
STORM_LOG_ASSERT(elimIt != successorBackwardTransitions.end(), "Expected a proper backward transition from " << successorEntry.getColumn() << " to " << state << ", but found none.");
successorBackwardTransitions.erase(elimIt);
}
typename FlexibleSparseMatrix::row_type::iterator first1 = successorBackwardTransitions.begin();
typename FlexibleSparseMatrix::row_type::iterator last1 = successorBackwardTransitions.end();
typename FlexibleSparseMatrix::row_type::iterator first2 = newBackwardProbabilities[successorOffsetInNewBackwardTransitions].begin();
typename FlexibleSparseMatrix::row_type::iterator last2 = newBackwardProbabilities[successorOffsetInNewBackwardTransitions].end();
FlexibleRowIterator first1 = successorBackwardTransitions.begin();
FlexibleRowIterator last1 = successorBackwardTransitions.end();
FlexibleRowIterator first2 = newBackwardProbabilities[successorOffsetInNewBackwardTransitions].begin();
FlexibleRowIterator last2 = newBackwardProbabilities[successorOffsetInNewBackwardTransitions].end();
// std::cout << "adding backward trans " << successorEntry.getColumn() << "[" << successorOffsetInNewBackwardTransitions << "]" << std::endl;
// for (auto const& trans : newBackwardProbabilities[successorOffsetInNewBackwardTransitions]) {
// std::cout << trans << std::endl;
// }
typename FlexibleSparseMatrix::row_type newPredecessors;
FlexibleRowType newPredecessors;
newPredecessors.reserve((last1 - first1) + (last2 - first2));
std::insert_iterator<typename FlexibleSparseMatrix::row_type> result(newPredecessors, newPredecessors.end());
std::insert_iterator<FlexibleRowType> result(newPredecessors, newPredecessors.end());
for (; first1 != last1; ++result) {
if (first2 == last2) {
@ -1340,9 +1337,9 @@ namespace storm {
}
}
if (predecessorFilterCallback) {
std::copy_if(first2, last2, result, [&] (storm::storage::MatrixEntry<typename FlexibleSparseMatrix::index_type, typename FlexibleSparseMatrix::value_type> const& a) { return a.getColumn() != state && predecessorFilterCallback.get()(a.getColumn()); });
std::copy_if(first2, last2, result, [&] (storm::storage::MatrixEntry<typename storm::storage::FlexibleSparseMatrix<ValueType>::index_type, typename storm::storage::FlexibleSparseMatrix<ValueType>::value_type> const& a) { return a.getColumn() != state && predecessorFilterCallback.get()(a.getColumn()); });
} else {
std::copy_if(first2, last2, result, [&] (storm::storage::MatrixEntry<typename FlexibleSparseMatrix::index_type, typename FlexibleSparseMatrix::value_type> const& a) { return a.getColumn() != state; });
std::copy_if(first2, last2, result, [&] (storm::storage::MatrixEntry<typename storm::storage::FlexibleSparseMatrix<ValueType>::index_type, typename storm::storage::FlexibleSparseMatrix<ValueType>::value_type> const& a) { return a.getColumn() != state; });
}
// Now move the new predecessors in place.
@ -1416,111 +1413,7 @@ namespace storm {
}
template<typename SparseDtmcModelType>
SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::FlexibleSparseMatrix(index_type rows) : data(rows) {
// Intentionally left empty.
}
template<typename SparseDtmcModelType>
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::reserveInRow(index_type row, index_type numberOfElements) {
this->data[row].reserve(numberOfElements);
}
template<typename SparseDtmcModelType>
typename SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::row_type& SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::getRow(index_type index) {
return this->data[index];
}
template<typename SparseDtmcModelType>
typename SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::row_type const& SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::getRow(index_type index) const {
return this->data[index];
}
template<typename SparseDtmcModelType>
typename SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::index_type SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::getNumberOfRows() const {
return this->data.size();
}
template<typename SparseDtmcModelType>
bool SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::hasSelfLoop(storm::storage::sparse::state_type state) {
for (auto const& entry : this->getRow(state)) {
if (entry.getColumn() < state) {
continue;
} else if (entry.getColumn() > state) {
return false;
} else if (entry.getColumn() == state) {
return true;
}
}
return false;
}
template<typename SparseDtmcModelType>
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::print() const {
for (uint_fast64_t index = 0; index < this->data.size(); ++index) {
std::cout << index << " - ";
for (auto const& element : this->getRow(index)) {
std::cout << "(" << element.getColumn() << ", " << element.getValue() << ") ";
}
std::cout << std::endl;
}
}
template<typename SparseDtmcModelType>
bool SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::empty() const {
for (auto const& row : this->data) {
if (!row.empty()) {
return false;
}
}
return true;
}
template<typename SparseDtmcModelType>
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix::filter(storm::storage::BitVector const& rowFilter, storm::storage::BitVector const& columnFilter) {
for (uint_fast64_t rowIndex = 0; rowIndex < this->data.size(); ++rowIndex) {
auto& row = this->data[rowIndex];
if (!rowFilter.get(rowIndex)) {
row.clear();
row.shrink_to_fit();
continue;
}
row_type newRow;
for (auto const& element : row) {
if (columnFilter.get(element.getColumn())) {
newRow.push_back(element);
}
}
row = std::move(newRow);
}
}
template<typename SparseDtmcModelType>
typename SparseDtmcEliminationModelChecker<SparseDtmcModelType>::FlexibleSparseMatrix SparseDtmcEliminationModelChecker<SparseDtmcModelType>::getFlexibleSparseMatrix(storm::storage::SparseMatrix<ValueType> const& matrix, bool setAllValuesToOne) {
FlexibleSparseMatrix flexibleMatrix(matrix.getRowCount());
for (typename FlexibleSparseMatrix::index_type rowIndex = 0; rowIndex < matrix.getRowCount(); ++rowIndex) {
typename storm::storage::SparseMatrix<ValueType>::const_rows row = matrix.getRow(rowIndex);
flexibleMatrix.reserveInRow(rowIndex, row.getNumberOfEntries());
for (auto const& element : row) {
// If the probability is zero, we skip this entry.
if (storm::utility::isZero(element.getValue())) {
continue;
}
if (setAllValuesToOne) {
flexibleMatrix.getRow(rowIndex).emplace_back(element.getColumn(), storm::utility::one<ValueType>());
} else {
flexibleMatrix.getRow(rowIndex).emplace_back(element);
}
}
}
return flexibleMatrix;
}
template<typename SparseDtmcModelType>
uint_fast64_t SparseDtmcEliminationModelChecker<SparseDtmcModelType>::computeStatePenalty(storm::storage::sparse::state_type const& state, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) {
uint_fast64_t SparseDtmcEliminationModelChecker<SparseDtmcModelType>::computeStatePenalty(storm::storage::sparse::state_type const& state, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) {
uint_fast64_t penalty = 0;
bool hasParametricSelfLoop = false;
@ -1547,12 +1440,12 @@ namespace storm {
}
template<typename SparseDtmcModelType>
uint_fast64_t SparseDtmcEliminationModelChecker<SparseDtmcModelType>::computeStatePenaltyRegularExpression(storm::storage::sparse::state_type const& state, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) {
uint_fast64_t SparseDtmcEliminationModelChecker<SparseDtmcModelType>::computeStatePenaltyRegularExpression(storm::storage::sparse::state_type const& state, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) {
return backwardTransitions.getRow(state).size() * transitionMatrix.getRow(state).size();
}
template<typename SparseDtmcModelType>
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::StatePriorityQueue::update(storm::storage::sparse::state_type, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) {
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::StatePriorityQueue::update(storm::storage::sparse::state_type, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) {
// Intentionally left empty.
}
@ -1605,7 +1498,7 @@ namespace storm {
}
template<typename SparseDtmcModelType>
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::DynamicPenaltyStatePriorityQueue::update(storm::storage::sparse::state_type state, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) {
void SparseDtmcEliminationModelChecker<SparseDtmcModelType>::DynamicPenaltyStatePriorityQueue::update(storm::storage::sparse::state_type state, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) {
// First, we need to find the priority until now.
auto priorityIt = stateToPriorityMapping.find(state);
@ -1634,8 +1527,8 @@ namespace storm {
}
template<typename SparseDtmcModelType>
bool SparseDtmcEliminationModelChecker<SparseDtmcModelType>::checkConsistent(FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions) {
for (uint_fast64_t forwardIndex = 0; forwardIndex < transitionMatrix.getNumberOfRows(); ++forwardIndex) {
bool SparseDtmcEliminationModelChecker<SparseDtmcModelType>::checkConsistent(storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions) {
for (uint_fast64_t forwardIndex = 0; forwardIndex < transitionMatrix.getRowCount(); ++forwardIndex) {
for (auto const& forwardEntry : transitionMatrix.getRow(forwardIndex)) {
if (forwardEntry.getColumn() == forwardIndex) {
continue;

66
src/modelchecker/reachability/SparseDtmcEliminationModelChecker.h
View File

@ -2,6 +2,7 @@
#define STORM_MODELCHECKER_REACHABILITY_SPARSEDTMCELIMINATIONMODELCHECKER_H_
#include "src/storage/sparse/StateType.h"
#include "src/storage/FlexibleSparseMatrix.h"
#include "src/models/sparse/Dtmc.h"
#include "src/modelchecker/propositional/SparsePropositionalModelChecker.h"
#include "src/utility/constants.h"
@ -14,6 +15,8 @@ namespace storm {
public:
typedef typename SparseDtmcModelType::ValueType ValueType;
typedef typename SparseDtmcModelType::RewardModelType RewardModelType;
typedef typename storm::storage::FlexibleSparseMatrix<ValueType>::row_type FlexibleRowType;
typedef typename FlexibleRowType::iterator FlexibleRowIterator;
/*!
* Creates an elimination-based model checker for the given model.
@ -33,47 +36,12 @@ namespace storm {
virtual std::unique_ptr<CheckResult> computeLongRunAverageProbabilities(storm::logic::StateFormula const& stateFormula, bool qualitative = false, boost::optional<OptimizationDirection> const& optimalityType = boost::optional<OptimizationDirection>()) override;
private:
class FlexibleSparseMatrix {
public:
typedef uint_fast64_t index_type;
typedef ValueType value_type;
typedef std::vector<storm::storage::MatrixEntry<index_type, value_type>> row_type;
typedef typename row_type::iterator iterator;
typedef typename row_type::const_iterator const_iterator;
FlexibleSparseMatrix() = default;
FlexibleSparseMatrix(index_type rows);
void reserveInRow(index_type row, index_type numberOfElements);
row_type& getRow(index_type);
row_type const& getRow(index_type) const;
index_type getNumberOfRows() const;
void print() const;
bool empty() const;
void filter(storm::storage::BitVector const& rowFilter, storm::storage::BitVector const& columnFilter);
/*!
* Checks whether the given state has a self-loop with an arbitrary probability in the probability matrix.
*
* @param state The state for which to check whether it possesses a self-loop.
* @return True iff the given state has a self-loop with an arbitrary probability in the probability matrix.
*/
bool hasSelfLoop(storm::storage::sparse::state_type state);
private:
std::vector<row_type> data;
};
class StatePriorityQueue {
public:
virtual bool hasNextState() const = 0;
virtual storm::storage::sparse::state_type popNextState() = 0;
virtual void update(storm::storage::sparse::state_type state, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities);
virtual void update(storm::storage::sparse::state_type state, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities);
virtual std::size_t size() const = 0;
};
@ -96,7 +64,7 @@ namespace storm {
}
};
typedef std::function<uint_fast64_t (storm::storage::sparse::state_type const& state, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities)> PenaltyFunctionType;
typedef std::function<uint_fast64_t (storm::storage::sparse::state_type const& state, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities)> PenaltyFunctionType;
class DynamicPenaltyStatePriorityQueue : public StatePriorityQueue {
public:
@ -104,7 +72,7 @@ namespace storm {
virtual bool hasNextState() const override;
virtual storm::storage::sparse::state_type popNextState() override;
virtual void update(storm::storage::sparse::state_type state, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) override;
virtual void update(storm::storage::sparse::state_type state, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities) override;
virtual std::size_t size() const override;
private:
@ -117,38 +85,36 @@ namespace storm {
static std::vector<ValueType> computeReachabilityValues(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, std::vector<ValueType>& values, storm::storage::SparseMatrix<ValueType> const& backwardTransitions, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, storm::storage::BitVector const& phiStates, storm::storage::BitVector const& psiStates, std::vector<ValueType> const& oneStepProbabilitiesToTarget);
static std::unique_ptr<StatePriorityQueue> createStatePriorityQueue(boost::optional<std::vector<uint_fast64_t>> const& stateDistances, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType>& oneStepProbabilities, storm::storage::BitVector const& states);
static std::unique_ptr<StatePriorityQueue> createStatePriorityQueue(boost::optional<std::vector<uint_fast64_t>> const& stateDistances, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType>& oneStepProbabilities, storm::storage::BitVector const& states);
static std::unique_ptr<StatePriorityQueue> createNaivePriorityQueue(storm::storage::BitVector const& states);
static void performPrioritizedStateElimination(std::unique_ptr<StatePriorityQueue>& priorityQueue, FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions, std::vector<ValueType>& values, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly);
static void performOrdinaryStateElimination(FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<ValueType>>& additionalStateValues, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities);
static void performPrioritizedStateElimination(std::unique_ptr<StatePriorityQueue>& priorityQueue, storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, std::vector<ValueType>& values, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly);
static void performOrdinaryStateElimination(FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities);
static void performOrdinaryStateElimination(storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<ValueType>>& additionalStateValues, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities);
static uint_fast64_t performHybridStateElimination(storm::storage::SparseMatrix<ValueType> const& forwardTransitions, FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities);
static void performOrdinaryStateElimination(storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities);
static uint_fast64_t treatScc(FlexibleSparseMatrix& matrix, std::vector<ValueType>& values, storm::storage::BitVector const& entryStates, storm::storage::BitVector const& scc, storm::storage::BitVector const& initialStates, storm::storage::SparseMatrix<ValueType> const& forwardTransitions, FlexibleSparseMatrix& backwardTransitions, bool eliminateEntryStates, uint_fast64_t level, uint_fast64_t maximalSccSize, std::vector<storm::storage::sparse::state_type>& entryStateQueue, bool computeResultsForInitialStatesOnly, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities = boost::none);
static uint_fast64_t performHybridStateElimination(storm::storage::SparseMatrix<ValueType> const& forwardTransitions, storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, storm::storage::BitVector const& subsystem, storm::storage::BitVector const& initialStates, bool computeResultsForInitialStatesOnly, std::vector<ValueType>& values, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities);
static FlexibleSparseMatrix getFlexibleSparseMatrix(storm::storage::SparseMatrix<ValueType> const& matrix, bool setAllValuesToOne = false);
static uint_fast64_t treatScc(storm::storage::FlexibleSparseMatrix<ValueType>& matrix, std::vector<ValueType>& values, storm::storage::BitVector const& entryStates, storm::storage::BitVector const& scc, storm::storage::BitVector const& initialStates, storm::storage::SparseMatrix<ValueType> const& forwardTransitions, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, bool eliminateEntryStates, uint_fast64_t level, uint_fast64_t maximalSccSize, std::vector<storm::storage::sparse::state_type>& entryStateQueue, bool computeResultsForInitialStatesOnly, boost::optional<std::vector<uint_fast64_t>> const& distanceBasedPriorities = boost::none);
typedef std::function<void (storm::storage::sparse::state_type const& state, ValueType const& loopProbability)> ValueUpdateCallback;
typedef std::function<void (storm::storage::sparse::state_type const& predecessor, ValueType const& probability, storm::storage::sparse::state_type const& state)> PredecessorUpdateCallback;
typedef std::function<void (storm::storage::sparse::state_type const& state)> PriorityUpdateCallback;
typedef std::function<bool (storm::storage::sparse::state_type const& state)> PredecessorFilterCallback;
static void eliminateState(storm::storage::sparse::state_type state, FlexibleSparseMatrix& matrix, FlexibleSparseMatrix& backwardTransitions, ValueUpdateCallback const& valueUpdateCallback, PredecessorUpdateCallback const& predecessorCallback, boost::optional<PriorityUpdateCallback> const& priorityUpdateCallback = boost::none, boost::optional<PredecessorFilterCallback> const& predecessorFilterCallback = boost::none, bool removeForwardTransitions = true);
static void eliminateState(storm::storage::sparse::state_type state, storm::storage::FlexibleSparseMatrix<ValueType>& matrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions, ValueUpdateCallback const& valueUpdateCallback, PredecessorUpdateCallback const& predecessorCallback, boost::optional<PriorityUpdateCallback> const& priorityUpdateCallback = boost::none, boost::optional<PredecessorFilterCallback> const& predecessorFilterCallback = boost::none, bool removeForwardTransitions = true);
static std::vector<uint_fast64_t> getDistanceBasedPriorities(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::SparseMatrix<ValueType> const& transitionMatrixTransposed, storm::storage::BitVector const& initialStates, std::vector<ValueType> const& oneStepProbabilities, bool forward, bool reverse);
static std::vector<std::size_t> getStateDistances(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::SparseMatrix<ValueType> const& transitionMatrixTransposed, storm::storage::BitVector const& initialStates, std::vector<ValueType> const& oneStepProbabilities, bool forward);
static uint_fast64_t computeStatePenalty(storm::storage::sparse::state_type const& state, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities);
static uint_fast64_t computeStatePenalty(storm::storage::sparse::state_type const& state, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities);
static uint_fast64_t computeStatePenaltyRegularExpression(storm::storage::sparse::state_type const& state, FlexibleSparseMatrix const& transitionMatrix, FlexibleSparseMatrix const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities);
static uint_fast64_t computeStatePenaltyRegularExpression(storm::storage::sparse::state_type const& state, storm::storage::FlexibleSparseMatrix<ValueType> const& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& oneStepProbabilities);
static bool checkConsistent(FlexibleSparseMatrix& transitionMatrix, FlexibleSparseMatrix& backwardTransitions);
static bool checkConsistent(storm::storage::FlexibleSparseMatrix<ValueType>& transitionMatrix, storm::storage::FlexibleSparseMatrix<ValueType>& backwardTransitions);
// A flag that indicates whether this model checker is supposed to produce results for all states or just for the initial states.
bool computeResultsForInitialStatesOnly;

110
src/storage/FlexibleSparseMatrix.cpp
View File

@ -2,14 +2,35 @@
#include "src/storage/SparseMatrix.h"
#include "src/storage/BitVector.h"
#include "src/adapters/CarlAdapter.h"
#include "src/utility/constants.h"
namespace storm {
namespace storage {
template<typename ValueType>
FlexibleSparseMatrix<ValueType>::FlexibleSparseMatrix(index_type rows) : data(rows) {
FlexibleSparseMatrix<ValueType>::FlexibleSparseMatrix(index_type rows) : data(rows), columnCount(0), nonzeroEntryCount(0) {
// Intentionally left empty.
}
template<typename ValueType>
FlexibleSparseMatrix<ValueType>::FlexibleSparseMatrix(storm::storage::SparseMatrix<ValueType> const& matrix, bool setAllValuesToOne) : data(matrix.getRowCount()), columnCount(matrix.getColumnCount()), nonzeroEntryCount(matrix.getNonzeroEntryCount()) {
for (index_type rowIndex = 0; rowIndex < matrix.getRowCount(); ++rowIndex) {
typename storm::storage::SparseMatrix<ValueType>::const_rows row = matrix.getRow(rowIndex);
reserveInRow(rowIndex, row.getNumberOfEntries());
for (auto const& element : row) {
// If the probability is zero, we skip this entry.
if (storm::utility::isZero(element.getValue())) {
continue;
}
if (setAllValuesToOne) {
getRow(rowIndex).emplace_back(element.getColumn(), storm::utility::one<ValueType>());
} else {
getRow(rowIndex).emplace_back(element);
}
}
}
}
template<typename ValueType>
void FlexibleSparseMatrix<ValueType>::reserveInRow(index_type row, index_type numberOfElements) {
this->data[row].reserve(numberOfElements);
@ -26,32 +47,30 @@ namespace storm {
}
template<typename ValueType>
typename FlexibleSparseMatrix<ValueType>::index_type FlexibleSparseMatrix<ValueType>::getNumberOfRows() const {
typename FlexibleSparseMatrix<ValueType>::index_type FlexibleSparseMatrix<ValueType>::getRowCount() const {
return this->data.size();
}
template<typename ValueType>
bool FlexibleSparseMatrix<ValueType>::hasSelfLoop(storm::storage::sparse::state_type state) {
for (auto const& entry : this->getRow(state)) {
if (entry.getColumn() < state) {
continue;
} else if (entry.getColumn() > state) {
return false;
} else if (entry.getColumn() == state) {
return true;
}
}
return false;
typename FlexibleSparseMatrix<ValueType>::index_type FlexibleSparseMatrix<ValueType>::getColumnCount() const {
return columnCount;
}
template<typename ValueType>
void FlexibleSparseMatrix<ValueType>::print() const {
for (uint_fast64_t index = 0; index < this->data.size(); ++index) {
std::cout << index << " - ";
for (auto const& element : this->getRow(index)) {
std::cout << "(" << element.getColumn() << ", " << element.getValue() << ") ";
typename FlexibleSparseMatrix<ValueType>::index_type FlexibleSparseMatrix<ValueType>::getNonzeroEntryCount() const {
return nonzeroEntryCount;
}
template<typename ValueType>
void FlexibleSparseMatrix<ValueType>::updateDimensions() {
this->nonzeroEntryCount = 0;
this->columnCount = 0;
for (auto const& row : this->data) {
for (auto const& element : row) {
assert(!storm::utility::isZero(element.getValue()));
++this->nonzeroEntryCount;
this->columnCount = std::max(element.getColumn() + 1, this->columnCount);
}
std::cout << std::endl;
}
}
@ -66,17 +85,17 @@ namespace storm {
}
template<typename ValueType>
void FlexibleSparseMatrix<ValueType>::filter(storm::storage::BitVector const& rowFilter, storm::storage::BitVector const& columnFilter) {
void FlexibleSparseMatrix<ValueType>::createSubmatrix(storm::storage::BitVector const& rowConstraint, storm::storage::BitVector const& columnConstraint) {
for (uint_fast64_t rowIndex = 0; rowIndex < this->data.size(); ++rowIndex) {
auto& row = this->data[rowIndex];
if (!rowFilter.get(rowIndex)) {
if (!rowConstraint.get(rowIndex)) {
row.clear();
row.shrink_to_fit();
continue;
}
row_type newRow;
for (auto const& element : row) {
if (columnFilter.get(element.getColumn())) {
if (columnConstraint.get(element.getColumn())) {
newRow.push_back(element);
}
}
@ -84,5 +103,48 @@ namespace storm {
}
}
}
}
template<typename ValueType>
storm::storage::SparseMatrix<ValueType> FlexibleSparseMatrix<ValueType>::createSparseMatrix() {
storm::storage::SparseMatrixBuilder<ValueType> matrixBuilder(getRowCount(), getColumnCount());
for (uint_fast64_t rowIndex = 0; rowIndex < getRowCount(); ++rowIndex) {
auto& row = this->data[rowIndex];
for (auto const& entry : row) {
matrixBuilder.addNextValue(rowIndex, entry.getColumn(), entry.getValue());
}
}
return matrixBuilder.build();
}
template<typename ValueType>
bool FlexibleSparseMatrix<ValueType>::rowHasDiagonalElement(storm::storage::sparse::state_type state) {
for (auto const& entry : this->getRow(state)) {
if (entry.getColumn() < state) {
continue;
} else if (entry.getColumn() > state) {
return false;
} else if (entry.getColumn() == state) {
return true;
}
}
return false;
}
template<typename ValueType>
std::ostream& operator<<(std::ostream& out, FlexibleSparseMatrix<ValueType> const& matrix) {
for (uint_fast64_t index = 0; index < matrix->data.size(); ++index) {
out << index << " - ";
for (auto const& element : matrix->getRow(index)) {
out << "(" << element.getColumn() << ", " << element.getValue() << ") ";
}
return out;
}
}
// Explicitly instantiate the matrix.
template class FlexibleSparseMatrix<double>;
#ifdef STORM_HAVE_CARL
template class FlexibleSparseMatrix<storm::RationalFunction>;
#endif
} // namespace storage
} // namespace storm

99
src/storage/FlexibleSparseMatrix.h
View File

@ -5,6 +5,7 @@
#include <vector>
#include "src/storage/sparse/StateType.h"
#include "src/storage/SparseMatrix.h"
namespace storm {
namespace storage {
@ -13,17 +14,14 @@ namespace storm {
class BitVector;
/*!
* The flexible sparse matrix is used during state elimination.
*/
template<typename ValueType>
class FlexibleSparseMatrix {
public:
// TODO: make this class a bit more consistent with the big sparse matrix and improve it:
// * rename getNumberOfRows -> getRowCount
// * store number of columns to also provide getColumnCount
// * rename hasSelfLoop -> rowHasDiagonalElement
// * add output iterator and improve the way the matrix is printed
// * add conversion functionality from/to sparse matrix
// * add documentation
// * rename filter to something more appropriate (getSubmatrix?)
// * add stuff like clearRow, multiplyRowWithScalar
typedef uint_fast64_t index_type;
@ -32,21 +30,93 @@ namespace storm {
typedef typename row_type::iterator iterator;
typedef typename row_type::const_iterator const_iterator;
/*!
* Constructs an empty flexible sparse matrix.
*/
FlexibleSparseMatrix() = default;
/*!
* Constructs a flexible sparse matrix with rows many rows.
* @param rows number of rows.
*/
FlexibleSparseMatrix(index_type rows);
/*!
* Constructs a flexible sparse matrix from a sparse matrix.
* @param matrix Sparse matrix to construct from.
* @param setAllValuesToOne If true, all set entries are set to one. Default is false.
*/
FlexibleSparseMatrix(storm::storage::SparseMatrix<ValueType> const& matrix, bool setAllValuesToOne = false);
/*!
* Reserves space for elements in row.
* @param row Row to reserve in.
* @param numberOfElements Number of elements to reserve space for.
*/
void reserveInRow(index_type row, index_type numberOfElements);
/*!
* Returns an object representing the given row.
*
* @param row The row to get.
* @return An object representing the given row.
*/
row_type& getRow(index_type);
/*!
* Returns an object representing the given row.
*
* @param row The row to get.
* @return An object representing the given row.
*/
row_type const& getRow(index_type) const;
index_type getNumberOfRows() const;
/*!
* Returns the number of rows of the matrix.
*
* @return The number of rows of the matrix.
*/
index_type getRowCount() const;
void print() const;
/*!
* Returns the number of columns of the matrix.
*
* @return The number of columns of the matrix.
*/
index_type getColumnCount() const;
/*!
* Returns the cached number of nonzero entries in the matrix.
*
* @return The number of nonzero entries in the matrix.
*/
index_type getNonzeroEntryCount() const;
/*!
* Recomputes the number of columns and the number of non-zero entries.
*/
void updateDimensions();
/*!
* Checks if the matrix has no elements.
* @return True, if the matrix is empty.
*/
bool empty() const;
void filter(storm::storage::BitVector const& rowFilter, storm::storage::BitVector const& columnFilter);
/*!
* Creates a submatrix of the current matrix in place by dropping all rows and columns whose bits are not
* set to one in the given bit vector.
*
* @param rowConstraint A bit vector indicating which rows to keep.
* @param columnConstraint A bit vector indicating which columns to keep.
*/
void createSubmatrix(storm::storage::BitVector const& rowConstraint, storm::storage::BitVector const& columnConstraint);
/*!
* Creates a sparse matrix from the flexible sparse matrix.
* @return The sparse matrix.
*/
storm::storage::SparseMatrix<ValueType> createSparseMatrix();
/*!
* Checks whether the given state has a self-loop with an arbitrary probability in the probability matrix.
@ -54,10 +124,19 @@ namespace storm {
* @param state The state for which to check whether it possesses a self-loop.
* @return True iff the given state has a self-loop with an arbitrary probability in the probability matrix.
*/
bool hasSelfLoop(storm::storage::sparse::state_type state);
bool rowHasDiagonalElement(storm::storage::sparse::state_type state);
template<typename TPrime>
friend std::ostream& operator<<(std::ostream& out, FlexibleSparseMatrix<TPrime> const& matrix);
private:
std::vector<row_type> data;
// The number of columns of the matrix.
index_type columnCount;
// The number of entries in the matrix.
index_type nonzeroEntryCount;
};
}
}

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