@ -149,15 +149,9 @@ namespace storm {
template < typename ValueType >
bool DeterministicModelStrongBisimulationDecomposition < ValueType > : : Block : : check ( ) const {
if ( this - > begin > = this - > end ) {
assert ( false ) ;
}
if ( this - > prev ! = nullptr ) {
assert ( this - > prev - > next = = this ) ;
}
if ( this - > next ! = nullptr ) {
assert ( this - > next - > prev = = this ) ;
}
assert ( this - > begin < this - > end ) ;
assert ( this - > prev = = nullptr | | this - > prev - > next = = this ) ;
assert ( this - > next = = nullptr | | this - > next - > prev = = this ) ;
return true ;
}
@ -260,6 +254,11 @@ namespace storm {
positions [ state ] = state ;
stateToBlockMapping [ state ] = & blocks . back ( ) ;
}
// If we are requested to store silent probabilities, we need to prepare the vector.
if ( this - > keepSilentProbabilities ) {
silentProbabilities = std : : vector < ValueType > ( numberOfStates ) ;
}
}
template < typename ValueType >
@ -300,6 +299,11 @@ namespace storm {
stateToBlockMapping [ state ] = & thirdBlock ;
+ + position ;
}
// If we are requested to store silent probabilities, we need to prepare the vector.
if ( this - > keepSilentProbabilities ) {
silentProbabilities = std : : vector < ValueType > ( numberOfStates ) ;
}
}
template < typename ValueType >
@ -469,6 +473,46 @@ namespace storm {
}
}
template < typename ValueType >
bool DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition : : isSilent ( storm : : storage : : sparse : : state_type state , storm : : utility : : ConstantsComparator < ValueType > const & comparator ) const {
STORM_LOG_ASSERT ( this - > keepSilentProbabilities , " Unable to retrieve silentness of state, because silent probabilities are not tracked. " ) ;
return comparator . isOne ( this - > silentProbabilities [ state ] ) ;
}
template < typename ValueType >
bool DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition : : hasSilentProbability ( storm : : storage : : sparse : : state_type state , storm : : utility : : ConstantsComparator < ValueType > const & comparator ) const {
STORM_LOG_ASSERT ( this - > keepSilentProbabilities , " Unable to retrieve silentness of state, because silent probabilities are not tracked. " ) ;
return ! comparator . isZero ( this - > silentProbabilities [ state ] ) ;
}
template < typename ValueType >
ValueType const & DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition : : getSilentProbability ( storm : : storage : : sparse : : state_type state ) const {
STORM_LOG_ASSERT ( this - > keepSilentProbabilities , " Unable to retrieve silent probability of state, because silent probabilities are not tracked. " ) ;
return this - > silentProbabilities [ state ] ;
}
template < typename ValueType >
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition : : setSilentProbabilities ( typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : iterator first , typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : iterator last ) {
STORM_LOG_ASSERT ( this - > keepSilentProbabilities , " Unable to set silent probability of state, because silent probabilities are not tracked. " ) ;
for ( ; first ! = last ; + + first ) {
this - > silentProbabilities [ first - > first ] = first - > second ;
}
}
template < typename ValueType >
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition : : setSilentProbabilitiesToZero ( typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : iterator first , typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : iterator last ) {
STORM_LOG_ASSERT ( this - > keepSilentProbabilities , " Unable to set silent probability of state, because silent probabilities are not tracked. " ) ;
for ( ; first ! = last ; + + first ) {
this - > silentProbabilities [ first - > first ] = storm : : utility : : zero < ValueType > ( ) ;
}
}
template < typename ValueType >
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition : : setSilentProbability ( storm : : storage : : sparse : : state_type state , ValueType const & value ) {
STORM_LOG_ASSERT ( this - > keepSilentProbabilities , " Unable to set silent probability of state, because silent probabilities are not tracked. " ) ;
this - > silentProbabilities [ state ] = value ;
}
template < typename ValueType >
std : : list < typename DeterministicModelStrongBisimulationDecomposition < ValueType > : : Block > const & DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition : : getBlocks ( ) const {
return this - > blocks ;
@ -530,17 +574,23 @@ namespace storm {
}
template < typename ValueType >
DeterministicModelStrongBisimulationDecomposition < ValueType > : : DeterministicModelStrongBisimulationDecomposition ( storm : : models : : Dtmc < ValueType > const & model , bool buildQuotient ) {
DeterministicModelStrongBisimulationDecomposition < ValueType > : : DeterministicModelStrongBisimulationDecomposition ( storm : : models : : Dtmc < ValueType > const & model , bool weak , bool buildQuotient ) {
STORM_LOG_THROW ( ! model . hasStateRewards ( ) & & ! model . hasTransitionRewards ( ) , storm : : exceptions : : IllegalFunctionCallException , " Bisimulation is currently only supported for models without reward structures. " ) ;
Partition initialPartition = getLabelBasedInitialPartition ( model ) ;
partitionRefinement ( model , model . getBackwardTransitions ( ) , initialPartition , buildQuotient ) ;
Partition initialPartition = getLabelBasedInitialPartition ( model , weak ) ;
if ( weak ) {
this - > initializeSilentProbabilities ( model , initialPartition ) ;
}
partitionRefinement ( model , model . getBackwardTransitions ( ) , initialPartition , weak , buildQuotient ) ;
}
template < typename ValueType >
DeterministicModelStrongBisimulationDecomposition < ValueType > : : DeterministicModelStrongBisimulationDecomposition ( storm : : models : : Ctmc < ValueType > const & model , bool buildQuotient ) {
DeterministicModelStrongBisimulationDecomposition < ValueType > : : DeterministicModelStrongBisimulationDecomposition ( storm : : models : : Ctmc < ValueType > const & model , bool weak , bool buildQuotient ) {
STORM_LOG_THROW ( ! model . hasStateRewards ( ) & & ! model . hasTransitionRewards ( ) , storm : : exceptions : : IllegalFunctionCallException , " Bisimulation is currently only supported for models without reward structures. " ) ;
Partition initialPartition = getLabelBasedInitialPartition ( model ) ;
partitionRefinement ( model , model . getBackwardTransitions ( ) , initialPartition , buildQuotient ) ;
Partition initialPartition = getLabelBasedInitialPartition ( model , weak ) ;
if ( weak ) {
this - > initializeSilentProbabilities ( model , initialPartition ) ;
}
partitionRefinement ( model , model . getBackwardTransitions ( ) , initialPartition , weak , buildQuotient ) ;
}
template < typename ValueType >
@ -548,7 +598,7 @@ namespace storm {
STORM_LOG_THROW ( ! model . hasStateRewards ( ) & & ! model . hasTransitionRewards ( ) , storm : : exceptions : : IllegalFunctionCallException , " Bisimulation is currently only supported for models without reward structures. " ) ;
storm : : storage : : SparseMatrix < ValueType > backwardTransitions = model . getBackwardTransitions ( ) ;
Partition initialPartition = getMeasureDrivenInitialPartition ( model , backwardTransitions , phiLabel , psiLabel , bounded ) ;
partitionRefinement ( model , model . getBackwardTransitions ( ) , initialPartition , buildQuotient ) ;
partitionRefinement ( model , model . getBackwardTransitions ( ) , initialPartition , false , buildQuotient ) ;
}
template < typename ValueType >
@ -556,7 +606,7 @@ namespace storm {
STORM_LOG_THROW ( ! model . hasStateRewards ( ) & & ! model . hasTransitionRewards ( ) , storm : : exceptions : : IllegalFunctionCallException , " Bisimulation is currently only supported for models without reward structures. " ) ;
storm : : storage : : SparseMatrix < ValueType > backwardTransitions = model . getBackwardTransitions ( ) ;
Partition initialPartition = getMeasureDrivenInitialPartition ( model , backwardTransitions , phiLabel , psiLabel , bounded ) ;
partitionRefinement ( model , model . getBackwardTransitions ( ) , initialPartition , buildQuotient ) ;
partitionRefinement ( model , model . getBackwardTransitions ( ) , initialPartition , false , buildQuotient ) ;
}
template < typename ValueType >
@ -648,7 +698,7 @@ namespace storm {
template < typename ValueType >
template < typename ModelType >
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : partitionRefinement ( ModelType const & model , storm : : storage : : SparseMatrix < ValueType > const & backwardTransitions , Partition & partition , bool buildQuotient ) {
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : partitionRefinement ( ModelType const & model , storm : : storage : : SparseMatrix < ValueType > const & backwardTransitions , Partition & partition , bool weak , bool buildQuotient ) {
std : : chrono : : high_resolution_clock : : time_point totalStart = std : : chrono : : high_resolution_clock : : now ( ) ;
// Initially, all blocks are potential splitter, so we insert them in the splitterQueue.
@ -659,7 +709,7 @@ namespace storm {
// Then perform the actual splitting until there are no more splitters.
while ( ! splitterQueue . empty ( ) ) {
std : : sort ( splitterQueue . begin ( ) , splitterQueue . end ( ) , [ ] ( Block const * b1 , Block const * b2 ) { return b1 - > getNumberOfStates ( ) < b2 - > getNumberOfStates ( ) ; } ) ;
refinePartition ( backwardTransitions , * splitterQueue . front ( ) , partition , splitterQueue ) ;
refinePartition ( backwardTransitions , * splitterQueue . front ( ) , partition , weak , splitterQueue ) ;
splitterQueue . pop_front ( ) ;
}
std : : chrono : : high_resolution_clock : : duration refinementTime = std : : chrono : : high_resolution_clock : : now ( ) - refinementStart ;
@ -679,6 +729,7 @@ namespace storm {
// If we are required to build the quotient model, do so now.
if ( buildQuotient ) {
// FIXME: this needs to do a bit more work for weak bisimulation.
this - > buildQuotient ( model , partition ) ;
}
@ -693,6 +744,7 @@ namespace storm {
std : : cout < < " ------------------------------------------ " < < std : : endl ;
std : : cout < < " * total time: " < < std : : chrono : : duration_cast < std : : chrono : : milliseconds > ( totalTime ) . count ( ) < < " ms " < < std : : endl ;
std : : cout < < std : : endl ;
std : : cout < < " Number of equivalence classes: " < < this - > size ( ) < < std : : endl ;
}
}
@ -713,9 +765,9 @@ namespace storm {
typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : const_iterator end = partition . getEnd ( block ) - 1 ;
storm : : storage : : sparse : : state_type currentIndex = block . getBegin ( ) ;
// Now we can check whether the block needs to be split, which is the case iff the probabilities for the
// first and the last state are different.
bool blockSplit = ! comparator . isEqual ( begin - > second , end - > second ) ;
while ( ! comparator . isEqual ( begin - > second , end - > second ) ) {
// Now we scan for the first state in the block that disagrees on the probability value.
// Note that we do not have to check currentIndex for staying within bounds, because we know the matching
@ -736,13 +788,168 @@ namespace storm {
newBlock . markAsSplitter ( ) ;
}
}
// If the block was split, we also need to insert itself into the splitter queue.
if ( blockSplit ) {
if ( ! block . isMarkedAsSplitter ( ) ) {
splitterQueue . push_back ( & block ) ;
block . markAsSplitter ( ) ;
}
}
}
template < typename ValueType >
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : refineBlockWeak ( Block & block , Partition & partition , storm : : storage : : SparseMatrix < ValueType > const & backwardTransitions , std : : deque < Block * > & splitterQueue ) {
std : : vector < uint_fast64_t > splitPoints = getSplitPointsWeak ( block , partition ) ;
// Restore the original begin of the block.
block . setBegin ( block . getOriginalBegin ( ) ) ;
// Now that we have the split points of the non-silent states, we perform a backward search from
// each non-silent state and label the predecessors with the class of the non-silent state.
std : : cout < < " creating labels " < < block . getEnd ( ) < < " // " < < block . getBegin ( ) < < std : : endl ;
std : : cout < < " split points: " < < std : : endl ;
for ( auto const & point : splitPoints ) {
std : : cout < < point < < std : : endl ;
}
block . print ( partition ) ;
std : : vector < storm : : storage : : BitVector > stateLabels ( block . getEnd ( ) - block . getBegin ( ) , storm : : storage : : BitVector ( splitPoints . size ( ) - 1 ) ) ;
std : : vector < storm : : storage : : sparse : : state_type > stateStack ;
stateStack . reserve ( block . getEnd ( ) - block . getBegin ( ) ) ;
for ( uint_fast64_t stateClassIndex = 0 ; stateClassIndex < splitPoints . size ( ) - 1 ; + + stateClassIndex ) {
for ( auto stateIt = partition . getStatesAndValues ( ) . begin ( ) + splitPoints [ stateClassIndex ] , stateIte = partition . getStatesAndValues ( ) . begin ( ) + splitPoints [ stateClassIndex + 1 ] ; stateIt ! = stateIte ; + + stateIt ) {
stateStack . push_back ( stateIt - > first ) ;
stateLabels [ partition . getPosition ( stateIt - > first ) - block . getBegin ( ) ] . set ( stateClassIndex ) ;
while ( ! stateStack . empty ( ) ) {
storm : : storage : : sparse : : state_type currentState = stateStack . back ( ) ;
stateStack . pop_back ( ) ;
for ( auto const & predecessorEntry : backwardTransitions . getRow ( currentState ) ) {
if ( comparator . isZero ( predecessorEntry . getValue ( ) ) ) {
continue ;
}
storm : : storage : : sparse : : state_type predecessor = predecessorEntry . getColumn ( ) ;
// Only if the state is in the same block, is a silent state and it has not yet been
// labeled with the current label.
if ( & partition . getBlock ( predecessor ) = = & block & & partition . isSilent ( predecessor , comparator ) & & ! stateLabels [ partition . getPosition ( predecessor ) - block . getBegin ( ) ] . get ( stateClassIndex ) ) {
stateStack . push_back ( predecessor ) ;
stateLabels [ partition . getPosition ( predecessor ) - block . getBegin ( ) ] . set ( stateClassIndex ) ;
}
}
}
}
}
// Now that all silent states were appropriately labeled, we can sort the states according to their
// labels and then scan for ranges that agree on the label.
std : : sort ( partition . getBegin ( block ) , partition . getEnd ( block ) , [ & ] ( std : : pair < storm : : storage : : sparse : : state_type , ValueType > const & a , std : : pair < storm : : storage : : sparse : : state_type , ValueType > const & b ) { return stateLabels [ partition . getPosition ( a . first ) - block . getBegin ( ) ] < stateLabels [ partition . getPosition ( b . first ) - block . getBegin ( ) ] ; } ) ;
// Update the positions vector.
storm : : storage : : sparse : : state_type position = block . getBegin ( ) ;
for ( auto stateIt = partition . getBegin ( block ) , stateIte = partition . getEnd ( block ) ; stateIt ! = stateIte ; + + stateIt , + + position ) {
partition . setPosition ( stateIt - > first , position ) ;
}
// Now we have everything in place to actually split the block by just scanning for ranges of equal label.
typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : const_iterator begin = partition . getBegin ( block ) ;
typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : const_iterator current = begin ;
typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : const_iterator end = partition . getEnd ( block ) - 1 ;
storm : : storage : : sparse : : state_type currentIndex = block . getBegin ( ) ;
// Now we can check whether the block needs to be split, which is the case iff the probabilities for the
// first and the last state are different.
bool blockSplit = ! comparator . isEqual ( begin - > second , end - > second ) ;
while ( ! comparator . isEqual ( begin - > second , end - > second ) ) {
// Now we scan for the first state in the block that disagrees on the labeling value.
// Note that we do not have to check currentIndex for staying within bounds, because we know the matching
// state is within bounds.
ValueType const & currentValue = begin - > second ;
+ + begin ;
+ + currentIndex ;
while ( begin ! = end & & comparator . isEqual ( begin - > second , currentValue ) ) {
+ + begin ;
+ + currentIndex ;
}
// Now we split the block and mark it as a potential splitter.
Block & newBlock = partition . splitBlock ( block , currentIndex ) ;
if ( ! newBlock . isMarkedAsSplitter ( ) ) {
splitterQueue . push_back ( & newBlock ) ;
newBlock . markAsSplitter ( ) ;
}
}
// If the block was split, we also need to insert itself into the splitter queue.
if ( blockSplit ) {
if ( ! block . isMarkedAsSplitter ( ) ) {
splitterQueue . push_back ( & block ) ;
block . markAsSplitter ( ) ;
}
}
}
template < typename ValueType >
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : refinePartition ( storm : : storage : : SparseMatrix < ValueType > const & backwardTransitions , Block & splitter , Partition & partition , std : : deque < Block * > & splitterQueue ) {
std : : vector < uint_fast64_t > DeterministicModelStrongBisimulationDecomposition < ValueType > : : getSplitPointsWeak ( Block & block , Partition & partition ) {
std : : vector < uint_fast64_t > result ;
// We first scale all probabilities with (1-p[s]) where p[s] is the silent probability of state s.
std : : for_each ( partition . getStatesAndValues ( ) . begin ( ) + block . getOriginalBegin ( ) , partition . getStatesAndValues ( ) . begin ( ) + block . getBegin ( ) , [ & ] ( std : : pair < storm : : storage : : sparse : : state_type , ValueType > & stateValuePair ) {
ValueType const & silentProbability = partition . getSilentProbability ( stateValuePair . first ) ;
if ( ! comparator . isOne ( silentProbability ) ) {
stateValuePair . second / = storm : : utility : : one < ValueType > ( ) - silentProbability ;
}
} ) ;
// Now sort the states based on their probabilities.
std : : sort ( partition . getStatesAndValues ( ) . begin ( ) + block . getOriginalBegin ( ) , partition . getStatesAndValues ( ) . begin ( ) + block . getBegin ( ) , [ & partition ] ( std : : pair < storm : : storage : : sparse : : state_type , ValueType > const & a , std : : pair < storm : : storage : : sparse : : state_type , ValueType > const & b ) { return a . second < b . second ; } ) ;
// Update the positions vector.
storm : : storage : : sparse : : state_type position = block . getOriginalBegin ( ) ;
for ( auto stateIt = partition . getStatesAndValues ( ) . begin ( ) + block . getOriginalBegin ( ) , stateIte = partition . getStatesAndValues ( ) . begin ( ) + block . getBegin ( ) ; stateIt ! = stateIte ; + + stateIt , + + position ) {
partition . setPosition ( stateIt - > first , position ) ;
}
// Then, we scan for the ranges of states that agree on the probability.
typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : const_iterator begin = partition . getStatesAndValues ( ) . begin ( ) + block . getOriginalBegin ( ) ;
typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : const_iterator current = begin ;
typename std : : vector < std : : pair < storm : : storage : : sparse : : state_type , ValueType > > : : const_iterator end = partition . getStatesAndValues ( ) . begin ( ) + block . getBegin ( ) - 1 ;
storm : : storage : : sparse : : state_type currentIndex = block . getOriginalBegin ( ) ;
result . push_back ( currentIndex ) ;
// Now we can check whether the block needs to be split, which is the case iff the probabilities for the
// first and the last state are different.
while ( ! comparator . isEqual ( begin - > second , end - > second ) ) {
// Now we scan for the first state in the block that disagrees on the probability value.
// Note that we do not have to check currentIndex for staying within bounds, because we know the matching
// state is within bounds.
ValueType const & currentValue = begin - > second ;
+ + begin ;
+ + currentIndex ;
while ( begin ! = end & & comparator . isEqual ( begin - > second , currentValue ) ) {
+ + begin ;
+ + currentIndex ;
}
// Remember the index at which the probabilities were different.
result . push_back ( currentIndex ) ;
}
// Push a sentinel element and return result.
result . push_back ( block . getEnd ( ) ) ;
return result ;
}
template < typename ValueType >
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : refinePartition ( storm : : storage : : SparseMatrix < ValueType > const & backwardTransitions , Block & splitter , Partition & partition , bool weak , std : : deque < Block * > & splitterQueue ) {
std : : list < Block * > predecessorBlocks ;
// Iterate over all states of the splitter and check its predecessors.
bool splitterIsPredecessor = false ;
storm : : storage : : sparse : : state_type currentPosition = splitter . getBegin ( ) ;
for ( auto stateIterator = partition . getBegin ( splitter ) , stateIte = partition . getEnd ( splitter ) ; stateIterator ! = stateIte ; + + stateIterator , + + currentPosition ) {
storm : : storage : : sparse : : state_type currentState = stateIterator - > first ;
@ -751,7 +958,11 @@ namespace storm {
for ( auto const & predecessorEntry : backwardTransitions . getRow ( currentState ) ) {
storm : : storage : : sparse : : state_type predecessor = predecessorEntry . getColumn ( ) ;
// Get predecessor block and remember if the splitter was a predecessor of itself.
Block & predecessorBlock = partition . getBlock ( predecessor ) ;
if ( & predecessorBlock = = & splitter ) {
splitterIsPredecessor = true ;
}
// If the predecessor block has just one state, there is no point in splitting it.
if ( predecessorBlock . getNumberOfStates ( ) < = 1 | | predecessorBlock . isAbsorbing ( ) ) {
@ -831,45 +1042,68 @@ namespace storm {
}
}
}
// Reset the marked position of the splitter to the begin.
splitter . setMarkedPosition ( splitter . getBegin ( ) ) ;
std : : list < Block * > blocksToSplit ;
// Now, we can iterate over the predecessor blocks and see whether we have to create a new block for
// predecessors of the splitter.
for ( auto blockPtr : predecessorBlocks ) {
Block & block = * blockPtr ;
if ( ! weak ) {
std : : list < Block * > blocksToSplit ;
block . unmarkAsPredecessorBlock ( ) ;
block . resetMarkedPosition ( ) ;
// Now, we can iterate over the predecessor blocks and see whether we have to create a new block for
// predecessors of the splitter.
for ( auto blockPtr : predecessorBlocks ) {
Block & block = * blockPtr ;
block . unmarkAsPredecessorBlock ( ) ;
block . resetMarkedPosition ( ) ;
// If we have moved the begin of the block to somewhere in the middle of the block, we need to split it.
if ( block . getBegin ( ) ! = block . getEnd ( ) ) {
Block & newBlock = partition . insertBlock ( block ) ;
if ( ! newBlock . isMarkedAsSplitter ( ) ) {
splitterQueue . push_back ( & newBlock ) ;
newBlock . markAsSplitter ( ) ;
}
// Schedule the block of predecessors for refinement based on probabilities.
blocksToSplit . emplace_back ( & newBlock ) ;
} else {
// In this case, we can keep the block by setting its begin to the old value.
block . setBegin ( block . getOriginalBegin ( ) ) ;
blocksToSplit . emplace_back ( & block ) ;
}
}
// If we have moved the begin of the block to somewhere in the middle of the block, we need to split it.
if ( block . getBegin ( ) ! = block . getEnd ( ) ) {
Block & newBlock = partition . insertBlock ( block ) ;
if ( ! newBlock . isMarkedAsSplitter ( ) ) {
splitterQueue . push_back ( & newBlock ) ;
newBlock . markAsSplitter ( ) ;
// Finally, we walk through the blocks that have a transition to the splitter and split them using
// probabilistic information.
for ( auto blockPtr : blocksToSplit ) {
if ( blockPtr - > getNumberOfStates ( ) < = 1 ) {
continue ;
}
// Schedule the block of predecessors for refinement based on probabilities.
blocksToSplit . emplace_back ( & newBlock ) ;
} else {
// In this case, we can keep the block by setting its begin to the old value.
block . setBegin ( block . getOriginalBegin ( ) ) ;
blocksToSplit . emplace_back ( & block ) ;
refineBlockProbabilities ( * blockPtr , partition , splitterQueue ) ;
}
}
// Finally, we walk through the blocks that have a transition to the splitter and split them using
// probabilistic information.
for ( auto blockPtr : blocksToSplit ) {
if ( blockPtr - > getNumberOfStates ( ) < = 1 ) {
continue ;
} else {
// If the splitter was a predecessor of itself and we are computing a weak bisimulation, we need to update
// the silent probabilities.
if ( splitterIsPredecessor ) {
partition . setSilentProbabilities ( partition . getStatesAndValues ( ) . begin ( ) + splitter . getOriginalBegin ( ) , partition . getStatesAndValues ( ) . begin ( ) + splitter . getBegin ( ) ) ;
partition . setSilentProbabilitiesToZero ( partition . getStatesAndValues ( ) . begin ( ) + splitter . getBegin ( ) , partition . getStatesAndValues ( ) . begin ( ) + splitter . getEnd ( ) ) ;
}
// Now refine all predecessor blocks in a weak manner. That is, we split according to the criterion of
// weak bisimulation.
for ( auto blockPtr : predecessorBlocks ) {
Block & block = * blockPtr ;
// If the splitter is also the predecessor block, we must not refine it at this point.
if ( & block ! = & splitter ) {
refineBlockWeak ( block , partition , backwardTransitions , splitterQueue ) ;
} else {
// Restore the begin of the block.
block . setBegin ( block . getOriginalBegin ( ) ) ;
}
block . unmarkAsPredecessorBlock ( ) ;
block . resetMarkedPosition ( ) ;
}
refineBlockProbabilities ( * blockPtr , partition , splitterQueue ) ;
}
}
@ -883,8 +1117,8 @@ namespace storm {
template < typename ValueType >
template < typename ModelType >
typename DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition DeterministicModelStrongBisimulationDecomposition < ValueType > : : getLabelBasedInitialPartition ( ModelType const & model ) {
Partition partition ( model . getNumberOfStates ( ) ) ;
typename DeterministicModelStrongBisimulationDecomposition < ValueType > : : Partition DeterministicModelStrongBisimulationDecomposition < ValueType > : : getLabelBasedInitialPartition ( ModelType const & model , bool weak ) {
Partition partition ( model . getNumberOfStates ( ) , weak ) ;
for ( auto const & label : model . getStateLabeling ( ) . getAtomicPropositions ( ) ) {
if ( label = = " init " ) {
continue ;
@ -894,6 +1128,24 @@ namespace storm {
return partition ;
}
template < typename ValueType >
template < typename ModelType >
void DeterministicModelStrongBisimulationDecomposition < ValueType > : : initializeSilentProbabilities ( ModelType const & model , Partition & partition ) {
for ( auto const & block : partition . getBlocks ( ) ) {
for ( auto stateIt = partition . getBegin ( block ) , stateIte = partition . getEnd ( block ) ; stateIt ! = stateIte ; + + stateIt ) {
ValueType silentProbability = storm : : utility : : zero < ValueType > ( ) ;
for ( auto const & successorEntry : model . getRows ( stateIt - > first ) ) {
if ( & partition . getBlock ( successorEntry . getColumn ( ) ) = = & block ) {
silentProbability + = successorEntry . getValue ( ) ;
}
}
partition . setSilentProbability ( stateIt - > first , silentProbability ) ;
}
}
}
template class DeterministicModelStrongBisimulationDecomposition < double > ;
}
}