You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
333 lines
18 KiB
333 lines
18 KiB
#include "src/builder/ExplicitDFTModelBuilder.h"
|
|
#include <src/models/sparse/MarkovAutomaton.h>
|
|
#include <src/models/sparse/Ctmc.h>
|
|
#include <src/utility/constants.h>
|
|
#include <src/utility/vector.h>
|
|
#include <src/exceptions/UnexpectedException.h>
|
|
#include <map>
|
|
|
|
namespace storm {
|
|
namespace builder {
|
|
|
|
template <typename ValueType>
|
|
ExplicitDFTModelBuilder<ValueType>::ModelComponents::ModelComponents() : transitionMatrix(), stateLabeling(), markovianStates(), exitRates(), choiceLabeling() {
|
|
// Intentionally left empty.
|
|
}
|
|
|
|
template <typename ValueType>
|
|
ExplicitDFTModelBuilder<ValueType>::ExplicitDFTModelBuilder(storm::storage::DFT<ValueType> const& dft, storm::storage::DFTIndependentSymmetries const& symmetries) : mDft(dft), mStates(((mDft.stateVectorSize() / 64) + 1) * 64, INITIAL_BUCKETSIZE) {
|
|
// stateVectorSize is bound for size of bitvector
|
|
|
|
mStateGenerationInfo = std::make_shared<storm::storage::DFTStateGenerationInfo>(mDft.buildStateGenerationInfo(symmetries));
|
|
}
|
|
|
|
|
|
template <typename ValueType>
|
|
std::shared_ptr<storm::models::sparse::Model<ValueType>> ExplicitDFTModelBuilder<ValueType>::buildModel(LabelOptions const& labelOpts) {
|
|
// Initialize
|
|
bool deterministicModel = false;
|
|
ModelComponents modelComponents;
|
|
std::vector<uint_fast64_t> tmpMarkovianStates;
|
|
storm::storage::SparseMatrixBuilder<ValueType> transitionMatrixBuilder(0, 0, 0, false, !deterministicModel, 0);
|
|
|
|
|
|
if(mergeFailedStates) {
|
|
newIndex++;
|
|
|
|
transitionMatrixBuilder.newRowGroup(failedIndex);
|
|
transitionMatrixBuilder.addNextValue(failedIndex, failedIndex, storm::utility::one<ValueType>());
|
|
STORM_LOG_TRACE("Added self loop for " << failedIndex);
|
|
modelComponents.exitRates.push_back(storm::utility::one<ValueType>());
|
|
tmpMarkovianStates.push_back(failedIndex);
|
|
}
|
|
|
|
DFTStatePointer state = std::make_shared<storm::storage::DFTState<ValueType>>(mDft, *mStateGenerationInfo, newIndex++);
|
|
mStates.findOrAdd(state->status(), state->getId());
|
|
initialStateIndex = state->getId();
|
|
std::queue<DFTStatePointer> stateQueue;
|
|
stateQueue.push(state);
|
|
|
|
// Begin model generation
|
|
bool deterministic = exploreStates(stateQueue, transitionMatrixBuilder, tmpMarkovianStates, modelComponents.exitRates);
|
|
STORM_LOG_DEBUG("Generated " << mStates.size() + (mergeFailedStates ? 1 : 0) << " states");
|
|
STORM_LOG_DEBUG("Model is " << (deterministic ? "deterministic" : "non-deterministic"));
|
|
|
|
size_t stateSize = mStates.size() + (mergeFailedStates ? 1 : 0);
|
|
// Build Markov Automaton
|
|
modelComponents.markovianStates = storm::storage::BitVector(stateSize, tmpMarkovianStates);
|
|
// Build transition matrix
|
|
modelComponents.transitionMatrix = transitionMatrixBuilder.build(stateSize, stateSize);
|
|
STORM_LOG_DEBUG("Transition matrix: " << std::endl << modelComponents.transitionMatrix);
|
|
STORM_LOG_DEBUG("Exit rates: " << modelComponents.exitRates);
|
|
STORM_LOG_DEBUG("Markovian states: " << modelComponents.markovianStates);
|
|
|
|
// Build state labeling
|
|
modelComponents.stateLabeling = storm::models::sparse::StateLabeling(mStates.size() + (mergeFailedStates ? 1 : 0));
|
|
// Initial state is always first state without any failure
|
|
modelComponents.stateLabeling.addLabel("init");
|
|
modelComponents.stateLabeling.addLabelToState("init", initialStateIndex);
|
|
// Label all states corresponding to their status (failed, failsafe, failed BE)
|
|
if(labelOpts.buildFailLabel) {
|
|
modelComponents.stateLabeling.addLabel("failed");
|
|
}
|
|
if(labelOpts.buildFailSafeLabel) {
|
|
modelComponents.stateLabeling.addLabel("failsafe");
|
|
}
|
|
|
|
// Collect labels for all BE
|
|
std::vector<std::shared_ptr<storage::DFTBE<ValueType>>> basicElements = mDft.getBasicElements();
|
|
for (std::shared_ptr<storage::DFTBE<ValueType>> elem : basicElements) {
|
|
if(labelOpts.beLabels.count(elem->name()) > 0) {
|
|
modelComponents.stateLabeling.addLabel(elem->name() + "_fail");
|
|
}
|
|
}
|
|
|
|
if(mergeFailedStates) {
|
|
modelComponents.stateLabeling.addLabelToState("failed", failedIndex);
|
|
}
|
|
for (auto const& stateIdPair : mStates) {
|
|
storm::storage::BitVector state = stateIdPair.first;
|
|
size_t stateId = stateIdPair.second;
|
|
if (!mergeFailedStates && labelOpts.buildFailLabel && mDft.hasFailed(state, *mStateGenerationInfo)) {
|
|
modelComponents.stateLabeling.addLabelToState("failed", stateId);
|
|
}
|
|
if (labelOpts.buildFailSafeLabel && mDft.isFailsafe(state, *mStateGenerationInfo)) {
|
|
modelComponents.stateLabeling.addLabelToState("failsafe", stateId);
|
|
};
|
|
// Set fail status for each BE
|
|
for (std::shared_ptr<storage::DFTBE<ValueType>> elem : basicElements) {
|
|
if (labelOpts.beLabels.count(elem->name()) > 0 && storm::storage::DFTState<ValueType>::hasFailed(state, mStateGenerationInfo->getStateIndex(elem->id())) ) {
|
|
modelComponents.stateLabeling.addLabelToState(elem->name() + "_fail", stateId);
|
|
}
|
|
}
|
|
}
|
|
|
|
std::shared_ptr<storm::models::sparse::Model<ValueType>> model;
|
|
|
|
if (deterministic) {
|
|
// Turn the probabilities into rates by multiplying each row with the exit rate of the state.
|
|
// TODO Matthias: avoid transforming back and forth
|
|
storm::storage::SparseMatrix<ValueType> rateMatrix(modelComponents.transitionMatrix);
|
|
for (uint_fast64_t row = 0; row < rateMatrix.getRowCount(); ++row) {
|
|
assert(row < modelComponents.markovianStates.size());
|
|
if (modelComponents.markovianStates.get(row)) {
|
|
for (auto& entry : rateMatrix.getRow(row)) {
|
|
entry.setValue(entry.getValue() * modelComponents.exitRates[row]);
|
|
}
|
|
}
|
|
}
|
|
model = std::make_shared<storm::models::sparse::Ctmc<ValueType>>(std::move(rateMatrix), std::move(modelComponents.stateLabeling));
|
|
} else {
|
|
std::shared_ptr<storm::models::sparse::MarkovAutomaton<ValueType>> ma = std::make_shared<storm::models::sparse::MarkovAutomaton<ValueType>>(std::move(modelComponents.transitionMatrix), std::move(modelComponents.stateLabeling), std::move(modelComponents.markovianStates), std::move(modelComponents.exitRates), true);
|
|
if (ma->hasOnlyTrivialNondeterminism()) {
|
|
// Markov automaton can be converted into CTMC
|
|
model = ma->convertToCTMC();
|
|
} else {
|
|
model = ma;
|
|
}
|
|
}
|
|
|
|
return model;
|
|
}
|
|
|
|
template <typename ValueType>
|
|
bool ExplicitDFTModelBuilder<ValueType>::exploreStates(std::queue<DFTStatePointer>& stateQueue, storm::storage::SparseMatrixBuilder<ValueType>& transitionMatrixBuilder, std::vector<uint_fast64_t>& markovianStates, std::vector<ValueType>& exitRates) {
|
|
|
|
// TODO Matthias: set Markovian states directly as bitvector?
|
|
std::map<size_t, ValueType> outgoingTransitions;
|
|
size_t rowOffset = 0; // Captures number of non-deterministic choices
|
|
bool deterministic = true;
|
|
|
|
|
|
while (!stateQueue.empty()) {
|
|
// Initialization
|
|
outgoingTransitions.clear();
|
|
ValueType exitRate = storm::utility::zero<ValueType>();
|
|
|
|
// Consider next state
|
|
DFTStatePointer state = stateQueue.front();
|
|
stateQueue.pop();
|
|
|
|
bool hasDependencies = state->nrFailableDependencies() > 0;
|
|
deterministic &= !hasDependencies;
|
|
size_t failableCount = hasDependencies ? state->nrFailableDependencies() : state->nrFailableBEs();
|
|
size_t smallest = 0;
|
|
|
|
transitionMatrixBuilder.newRowGroup(state->getId() + rowOffset);
|
|
|
|
// Add self loop for target states
|
|
if (mDft.hasFailed(state) || mDft.isFailsafe(state)) {
|
|
transitionMatrixBuilder.addNextValue(state->getId() + rowOffset, state->getId(), storm::utility::one<ValueType>());
|
|
STORM_LOG_TRACE("Added self loop for " << state->getId());
|
|
exitRates.push_back(storm::utility::one<ValueType>());
|
|
assert(exitRates.size()-1 == state->getId());
|
|
markovianStates.push_back(state->getId());
|
|
// No further exploration required
|
|
continue;
|
|
} else {
|
|
STORM_LOG_THROW(state->nrFailableBEs() > 0, storm::exceptions::UnexpectedException, "State " << state->getId() << " is no target state but behaves like one");
|
|
}
|
|
|
|
// Let BE fail
|
|
while (smallest < failableCount) {
|
|
assert(!mDft.hasFailed(state));
|
|
STORM_LOG_TRACE("exploring from: " << mDft.getStateString(state));
|
|
|
|
// Construct new state as copy from original one
|
|
DFTStatePointer newState = std::make_shared<storm::storage::DFTState<ValueType>>(*state);
|
|
std::pair<std::shared_ptr<storm::storage::DFTBE<ValueType> const>, bool> nextBEPair = newState->letNextBEFail(smallest++);
|
|
std::shared_ptr<storm::storage::DFTBE<ValueType> const>& nextBE = nextBEPair.first;
|
|
assert(nextBE);
|
|
assert(nextBEPair.second == hasDependencies);
|
|
STORM_LOG_TRACE("with the failure of: " << nextBE->name() << " [" << nextBE->id() << "]");
|
|
|
|
// Propagate failures
|
|
storm::storage::DFTStateSpaceGenerationQueues<ValueType> queues;
|
|
|
|
for (DFTGatePointer parent : nextBE->parents()) {
|
|
if (newState->isOperational(parent->id())) {
|
|
queues.propagateFailure(parent);
|
|
}
|
|
}
|
|
for (DFTRestrictionPointer restr : nextBE->restrictions()) {
|
|
queues.checkRestrictionLater(restr);
|
|
}
|
|
|
|
while (!queues.failurePropagationDone()) {
|
|
DFTGatePointer next = queues.nextFailurePropagation();
|
|
next->checkFails(*newState, queues);
|
|
}
|
|
|
|
while(!queues.restrictionChecksDone()) {
|
|
DFTRestrictionPointer next = queues.nextRestrictionCheck();
|
|
next->checkFails(*newState, queues);
|
|
}
|
|
|
|
if(newState->isInvalid()) {
|
|
continue;
|
|
}
|
|
|
|
while (!queues.failsafePropagationDone()) {
|
|
DFTGatePointer next = queues.nextFailsafePropagation();
|
|
next->checkFailsafe(*newState, queues);
|
|
}
|
|
|
|
while (!queues.dontCarePropagationDone()) {
|
|
DFTElementPointer next = queues.nextDontCarePropagation();
|
|
next->checkDontCareAnymore(*newState, queues);
|
|
}
|
|
|
|
// Update failable dependencies
|
|
newState->updateFailableDependencies(nextBE->id());
|
|
|
|
bool dftFailed = newState->hasFailed(mDft.getTopLevelIndex());
|
|
size_t newStateId;
|
|
if(dftFailed && mergeFailedStates) {
|
|
newStateId = failedIndex;
|
|
} else {
|
|
if (mStates.contains(newState->status())) {
|
|
// State already exists
|
|
newStateId = mStates.getValue(newState->status());
|
|
STORM_LOG_TRACE("State " << mDft.getStateString(newState) << " already exists");
|
|
} else {
|
|
// New state
|
|
newState->setId(newIndex++);
|
|
newStateId = mStates.findOrAdd(newState->status(), newState->getId());
|
|
STORM_LOG_TRACE("New state " << mDft.getStateString(newState));
|
|
|
|
// Add state to search queue
|
|
stateQueue.push(newState);
|
|
}
|
|
}
|
|
|
|
// Set transitions
|
|
if (hasDependencies) {
|
|
// Failure is due to dependency -> add non-deterministic choice
|
|
std::shared_ptr<storm::storage::DFTDependency<ValueType> const> dependency = mDft.getDependency(state->getDependencyId(smallest-1));
|
|
transitionMatrixBuilder.addNextValue(state->getId() + rowOffset, newStateId, dependency->probability());
|
|
STORM_LOG_TRACE("Added transition from " << state->getId() << " to " << newStateId << " with probability " << dependency->probability());
|
|
|
|
if (!storm::utility::isOne(dependency->probability())) {
|
|
// Add transition to state where dependency was unsuccessful
|
|
DFTStatePointer unsuccessfulState = std::make_shared<storm::storage::DFTState<ValueType>>(*state);
|
|
unsuccessfulState->letDependencyBeUnsuccessful(smallest-1);
|
|
size_t unsuccessfulStateId;
|
|
if (mStates.contains(unsuccessfulState->status())) {
|
|
// Unsuccessful state already exists
|
|
unsuccessfulStateId = mStates.getValue(unsuccessfulState->status());
|
|
STORM_LOG_TRACE("State " << mDft.getStateString(unsuccessfulState) << " with id " << unsuccessfulStateId << " already exists");
|
|
} else {
|
|
// New unsuccessful state
|
|
unsuccessfulState->setId(newIndex++);
|
|
unsuccessfulStateId = mStates.findOrAdd(unsuccessfulState->status(), unsuccessfulState->getId());
|
|
STORM_LOG_TRACE("New state " << mDft.getStateString(unsuccessfulState));
|
|
|
|
// Add unsuccessful state to search queue
|
|
stateQueue.push(unsuccessfulState);
|
|
}
|
|
|
|
ValueType remainingProbability = storm::utility::one<ValueType>() - dependency->probability();
|
|
transitionMatrixBuilder.addNextValue(state->getId() + rowOffset, unsuccessfulStateId, remainingProbability);
|
|
STORM_LOG_TRACE("Added transition from " << state->getId() << " to " << unsuccessfulStateId << " with probability " << remainingProbability);
|
|
} else {
|
|
// Self-loop with probability one cannot be eliminated later one.
|
|
assert(state->getId() != newStateId);
|
|
}
|
|
++rowOffset;
|
|
|
|
} else {
|
|
// Set failure rate according to activation
|
|
bool isActive = true;
|
|
if (mDft.hasRepresentant(nextBE->id())) {
|
|
// Active must be checked for the state we are coming from as this state is responsible for the
|
|
// rate and not the new state we are going to
|
|
isActive = state->isActive(mDft.getRepresentant(nextBE->id())->id());
|
|
}
|
|
STORM_LOG_TRACE("BE " << nextBE->name() << " is " << (isActive ? "active" : "not active"));
|
|
ValueType rate = isActive ? nextBE->activeFailureRate() : nextBE->passiveFailureRate();
|
|
auto resultFind = outgoingTransitions.find(newStateId);
|
|
if (resultFind != outgoingTransitions.end()) {
|
|
// Add to existing transition
|
|
resultFind->second += rate;
|
|
STORM_LOG_TRACE("Updated transition from " << state->getId() << " to " << resultFind->first << " with rate " << rate << " to new rate " << resultFind->second);
|
|
} else {
|
|
// Insert new transition
|
|
outgoingTransitions.insert(std::make_pair(newStateId, rate));
|
|
STORM_LOG_TRACE("Added transition from " << state->getId() << " to " << newStateId << " with rate " << rate);
|
|
}
|
|
exitRate += rate;
|
|
}
|
|
|
|
} // end while failing BE
|
|
|
|
if (hasDependencies) {
|
|
rowOffset--; // One increment to many
|
|
} else {
|
|
// Add all probability transitions
|
|
for (auto it = outgoingTransitions.begin(); it != outgoingTransitions.end(); ++it)
|
|
{
|
|
ValueType probability = it->second / exitRate; // Transform rate to probability
|
|
transitionMatrixBuilder.addNextValue(state->getId() + rowOffset, it->first, probability);
|
|
}
|
|
|
|
markovianStates.push_back(state->getId());
|
|
}
|
|
exitRates.push_back(exitRate);
|
|
assert(exitRates.size()-1 == state->getId());
|
|
|
|
} // end while queue
|
|
assert(!deterministic || rowOffset == 0);
|
|
return deterministic;
|
|
}
|
|
|
|
// Explicitly instantiate the class.
|
|
template class ExplicitDFTModelBuilder<double>;
|
|
|
|
#ifdef STORM_HAVE_CARL
|
|
template class ExplicitDFTModelBuilder<storm::RationalFunction>;
|
|
#endif
|
|
|
|
} // namespace builder
|
|
} // namespace storm
|
|
|
|
|