@ -313,98 +313,6 @@ namespace storm {
multiplier - > multiply ( env , result , nullptr , result ) ;
return result ;
}
template < typename ValueType , typename RewardModelType >
std : : vector < ValueType > SparseDtmcPrctlHelper < ValueType , RewardModelType > : : computeDAProductProbabilities ( Environment const & env , typename storm : : models : : sparse : : Dtmc < ValueType , RewardModelType > const & dtmc , storm : : solver : : SolveGoal < ValueType > & & goal , storm : : automata : : DeterministicAutomaton const & da , std : : map < std : : string , storm : : storage : : BitVector > & apSatSets , bool qualitative ) {
const storm : : automata : : APSet & apSet = da . getAPSet ( ) ;
std : : vector < storm : : storage : : BitVector > apLabels ;
for ( const std : : string & ap : apSet . getAPs ( ) ) {
auto it = apSatSets . find ( ap ) ;
STORM_LOG_THROW ( it ! = apSatSets . end ( ) , storm : : exceptions : : InvalidOperationException , " Deterministic automaton has AP " < < ap < < " , does not appear in formula " ) ;
apLabels . push_back ( std : : move ( it - > second ) ) ;
}
storm : : storage : : BitVector statesOfInterest ;
if ( goal . hasRelevantValues ( ) ) {
statesOfInterest = goal . relevantValues ( ) ;
} else {
// product from all model states
statesOfInterest = storm : : storage : : BitVector ( dtmc . getNumberOfStates ( ) , true ) ;
}
STORM_LOG_INFO ( " Building DTMC-DA product with deterministic automaton, starting from " < < statesOfInterest . getNumberOfSetBits ( ) < < " model states... " ) ;
storm : : transformer : : DAProductBuilder productBuilder ( da , apLabels ) ;
auto product = productBuilder . build ( dtmc , statesOfInterest ) ;
STORM_LOG_INFO ( " Product DTMC has " < < product - > getProductModel ( ) . getNumberOfStates ( ) < < " states and "
< < product - > getProductModel ( ) . getNumberOfTransitions ( ) < < " transitions. " ) ;
if ( storm : : settings : : getModule < storm : : settings : : modules : : DebugSettings > ( ) . isTraceSet ( ) ) {
STORM_LOG_TRACE ( " Writing model to model.dot " ) ;
std : : ofstream modelDot ( " model.dot " ) ;
dtmc . writeDotToStream ( modelDot ) ;
modelDot . close ( ) ;
STORM_LOG_TRACE ( " Writing product model to product.dot " ) ;
std : : ofstream productDot ( " product.dot " ) ;
product - > getProductModel ( ) . writeDotToStream ( productDot ) ;
productDot . close ( ) ;
STORM_LOG_TRACE ( " Product model mapping: " ) ;
std : : stringstream str ;
product - > printMapping ( str ) ;
STORM_LOG_TRACE ( str . str ( ) ) ;
}
STORM_LOG_INFO ( " Computing BSCCs and checking for acceptance... " ) ;
storm : : storage : : StronglyConnectedComponentDecomposition < ValueType > bottomSccs ( product - > getProductModel ( ) . getTransitionMatrix ( ) ,
storage : : StronglyConnectedComponentDecompositionOptions ( ) . onlyBottomSccs ( ) . dropNaiveSccs ( ) ) ;
storm : : storage : : BitVector acceptingBSCC ( product - > getProductModel ( ) . getNumberOfStates ( ) ) ;
std : : size_t checkedBSCCs = 0 , acceptingBSCCs = 0 , acceptingBSCCStates = 0 ;
for ( auto & scc : bottomSccs ) {
checkedBSCCs + + ;
if ( product - > getAcceptance ( ) - > isAccepting ( scc ) ) {
acceptingBSCCs + + ;
for ( auto & state : scc ) {
acceptingBSCC . set ( state ) ;
acceptingBSCCStates + + ;
}
}
}
STORM_LOG_INFO ( " BSCC analysis: " < < acceptingBSCCs < < " of " < < checkedBSCCs < < " BSCCs were accepting ( " < < acceptingBSCCStates < < " states in accepting BSCCs). " ) ;
if ( acceptingBSCCs = = 0 ) {
STORM_LOG_INFO ( " No accepting BSCCs, skipping probability computation. " ) ;
std : : vector < ValueType > numericResult ( dtmc . getNumberOfStates ( ) , storm : : utility : : zero < ValueType > ( ) ) ;
return numericResult ;
}
STORM_LOG_INFO ( " Computing probabilities for reaching accepting BSCCs... " ) ;
storm : : storage : : BitVector bvTrue ( product - > getProductModel ( ) . getNumberOfStates ( ) , true ) ;
storm : : solver : : SolveGoal < ValueType > solveGoalProduct ( goal ) ;
storm : : storage : : BitVector soiProduct ( product - > getStatesOfInterest ( ) ) ;
solveGoalProduct . setRelevantValues ( std : : move ( soiProduct ) ) ;
std : : vector < ValueType > prodNumericResult
= storm : : modelchecker : : helper : : SparseDtmcPrctlHelper < ValueType > : : computeUntilProbabilities ( env ,
std : : move ( solveGoalProduct ) ,
product - > getProductModel ( ) . getTransitionMatrix ( ) ,
product - > getProductModel ( ) . getBackwardTransitions ( ) ,
bvTrue ,
acceptingBSCC ,
qualitative ) ;
std : : vector < ValueType > numericResult = product - > projectToOriginalModel ( dtmc , prodNumericResult ) ;
return numericResult ;
}
template < typename ValueType , typename RewardModelType >
std : : vector < ValueType > SparseDtmcPrctlHelper < ValueType , RewardModelType > : : computeCumulativeRewards ( Environment const & env , storm : : solver : : SolveGoal < ValueType > & & goal , storm : : storage : : SparseMatrix < ValueType > const & transitionMatrix , RewardModelType const & rewardModel , uint_fast64_t stepBound ) {