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fixed bug, implemented new sparse quotient extraction for sylvan

tempestpy_adaptions
dehnert 7 years ago
parent
b7be027f7a
commit
eaee50f077
2 changed files with 171 additions and 173 deletions
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  1. 60
      resources/3rdparty/cudd-3.0.0/cudd/cuddExport.c
  2. 284
      src/storm/storage/dd/bisimulation/QuotientExtractor.cpp

60
resources/3rdparty/cudd-3.0.0/cudd/cuddExport.c
View File

@ -448,8 +448,9 @@ Cudd_DumpDot(
scan = nodelist[j]; scan = nodelist[j];
while (scan != NULL) { while (scan != NULL) {
if (st_is_member(visited,scan)) { if (st_is_member(visited,scan)) {
retval = fprintf(fp,"\"%#" PRIxPTR "\";\n",
((mask & (ptruint) scan) / sizeof(DdNode)));
// retval = fprintf(fp,"\"%#" PRIxPTR "\";\n",
// ((mask & (ptruint) scan) / sizeof(DdNode)));
retval = fprintf(fp,"\"%p\";\n", (ptruint) scan);
if (retval == EOF) goto failure; if (retval == EOF) goto failure;
} }
scan = scan->next; scan = scan->next;
@ -470,8 +471,9 @@ Cudd_DumpDot(
scan = nodelist[j]; scan = nodelist[j];
while (scan != NULL) { while (scan != NULL) {
if (st_is_member(visited,scan)) { if (st_is_member(visited,scan)) {
retval = fprintf(fp,"\"%#" PRIxPTR "\";\n",
((mask & (ptruint) scan) / sizeof(DdNode)));
// retval = fprintf(fp,"\"%#" PRIxPTR "\";\n",
// ((mask & (ptruint) scan) / sizeof(DdNode)));
retval = fprintf(fp,"\"%p\";\n", Cudd_Regular(scan));
if (retval == EOF) goto failure; if (retval == EOF) goto failure;
} }
scan = scan->next; scan = scan->next;
@ -491,11 +493,13 @@ Cudd_DumpDot(
if (retval == EOF) goto failure; if (retval == EOF) goto failure;
/* Account for the possible complement on the root. */ /* Account for the possible complement on the root. */
if (Cudd_IsComplement(f[i])) { if (Cudd_IsComplement(f[i])) {
retval = fprintf(fp," -> \"%#" PRIxPTR "\" [style = dotted];\n",
((mask & (ptruint) f[i]) / sizeof(DdNode)));
// retval = fprintf(fp," -> \"%#" PRIxPTR "\" [style = dotted];\n",
// ((mask & (ptruint) f[i]) / sizeof(DdNode)));
retval = fprintf(fp," -> \"%p\" [style = dotted];\n", (ptruint)Cudd_Regular(f[i]));
} else { } else {
retval = fprintf(fp," -> \"%#" PRIxPTR "\" [style = solid];\n",
((mask & (ptruint) f[i]) / sizeof(DdNode)));
// retval = fprintf(fp," -> \"%p#" PRIxPTR "\" [style = solid];\n",
// ((mask & (ptruint) f[i]) / sizeof(DdNode)));
retval = fprintf(fp," -> \"%p\" [style = solid];\n", (ptruint)Cudd_Regular(f[i]));
} }
if (retval == EOF) goto failure; if (retval == EOF) goto failure;
} }
@ -509,25 +513,28 @@ Cudd_DumpDot(
scan = nodelist[j]; scan = nodelist[j];
while (scan != NULL) { while (scan != NULL) {
if (st_is_member(visited,scan)) { if (st_is_member(visited,scan)) {
retval = fprintf(fp,
"\"%#" PRIxPTR "\" -> \"%#" PRIxPTR "\";\n",
((mask & (ptruint) scan) / sizeof(DdNode)),
((mask & (ptruint) cuddT(scan)) / sizeof(DdNode)));
// retval = fprintf(fp,
// "\"%#" PRIxPTR "\" -> \"%#" PRIxPTR "\";\n",
// ((mask & (ptruint) scan) / sizeof(DdNode)),
// ((mask & (ptruint) cuddT(scan)) / sizeof(DdNode)));
retval = fprintf(fp, "\"%p\" -> \"%p\";\n", (ptruint)Cudd_Regular(scan), (ptruint)Cudd_Regular(cuddT(scan)));
if (retval == EOF) goto failure; if (retval == EOF) goto failure;
if (Cudd_IsComplement(cuddE(scan))) { if (Cudd_IsComplement(cuddE(scan))) {
retval = fprintf(fp,
"\"%#" PRIxPTR "\" -> \"%#" PRIxPTR
"\" [style = dotted];\n",
((mask & (ptruint) scan) / sizeof(DdNode)),
((mask & (ptruint) cuddE(scan)) /
sizeof(DdNode)));
// retval = fprintf(fp,
// "\"%#" PRIxPTR "\" -> \"%#" PRIxPTR
// "\" [style = dotted];\n",
// ((mask & (ptruint) scan) / sizeof(DdNode)),
// ((mask & (ptruint) cuddE(scan)) /
// sizeof(DdNode)));
retval = fprintf(fp, "\"%p\" -> \"%p\" [style = dotted];\n", (ptruint)Cudd_Regular(scan), (ptruint)Cudd_Regular(cuddE(scan)));
} else { } else {
retval = fprintf(fp,
"\"%#" PRIxPTR "\" -> \"%#" PRIxPTR
"\" [style = dashed];\n",
((mask & (ptruint) scan) / sizeof(DdNode)),
((mask & (ptruint) cuddE(scan)) /
sizeof(DdNode)));
// retval = fprintf(fp,
// "\"%#" PRIxPTR "\" -> \"%#" PRIxPTR
// "\" [style = dashed];\n",
// ((mask & (ptruint) scan) / sizeof(DdNode)),
// ((mask & (ptruint) cuddE(scan)) /
// sizeof(DdNode)));
retval = fprintf(fp, "\"%p\" -> \"%p\" [style = dashed];\n", (ptruint)Cudd_Regular(scan), (ptruint)Cudd_Regular(cuddE(scan)));
} }
if (retval == EOF) goto failure; if (retval == EOF) goto failure;
} }
@ -544,8 +551,9 @@ Cudd_DumpDot(
scan = nodelist[j]; scan = nodelist[j];
while (scan != NULL) { while (scan != NULL) {
if (st_is_member(visited,scan)) { if (st_is_member(visited,scan)) {
retval = fprintf(fp,"\"%#" PRIxPTR "\" [label = \"%g\"];\n",
((mask & (ptruint) scan) / sizeof(DdNode)), cuddV(scan));
// retval = fprintf(fp,"\"%#" PRIxPTR "\" [label = \"%g\"];\n",
// ((mask & (ptruint) scan) / sizeof(DdNode)), cuddV(scan));
retval = fprintf(fp,"\"%p\" [label = \"%g\"];\n", (ptruint)Cudd_Regular(scan), cuddV(scan));
if (retval == EOF) goto failure; if (retval == EOF) goto failure;
} }
scan = scan->next; scan = scan->next;

284
src/storm/storage/dd/bisimulation/QuotientExtractor.cpp
View File

@ -127,7 +127,12 @@ namespace storm {
return complement ? Cudd_Not(result) : result; return complement ? Cudd_Not(result) : result;
} }
} else { } else {
auto result = Cudd_Not(cuddUniqueInter(ddman, Cudd_NodeReadIndex(stateVariablesCube) - 1, Cudd_ReadOne(ddman), Cudd_Not(elseResult)));
DdNodePtr result;
if (elseResult == Cudd_ReadLogicZero(ddman)) {
result = elseResult;
} else {
result = Cudd_Not(cuddUniqueInter(ddman, Cudd_NodeReadIndex(stateVariablesCube) - 1, Cudd_ReadOne(ddman), Cudd_Not(elseResult)));
}
Cudd_Deref(elseResult); Cudd_Deref(elseResult);
return result; return result;
} }
@ -198,7 +203,12 @@ namespace storm {
return result; return result;
} }
} else { } else {
auto result = sylvan_makenode(sylvan_var(stateVariablesCube) - 1, elseResult, sylvan_false);
BDD result;
if (elseResult == sylvan_false) {
result = elseResult;
} else {
result = sylvan_makenode(sylvan_var(stateVariablesCube) - 1, elseResult, sylvan_false);
}
mtbdd_refs_pop(1); mtbdd_refs_pop(1);
return result; return result;
} }
@ -295,10 +305,6 @@ namespace storm {
InternalSparseQuotientExtractor(storm::dd::DdManager<storm::dd::DdType::CUDD> const& manager, std::set<storm::expressions::Variable> const& rowVariables, std::set<storm::expressions::Variable> const& columnVariables, std::set<storm::expressions::Variable> const& nondeterminismVariables, Partition<storm::dd::DdType::CUDD, ValueType> const& partition, storm::dd::Bdd<storm::dd::DdType::CUDD> const& representatives, storm::dd::Odd const& odd) : InternalSparseQuotientExtractorBase<storm::dd::DdType::CUDD, ValueType>(manager, rowVariables, columnVariables, nondeterminismVariables, partition, representatives, odd), ddman(this->manager.getInternalDdManager().getCuddManager().getManager()) { InternalSparseQuotientExtractor(storm::dd::DdManager<storm::dd::DdType::CUDD> const& manager, std::set<storm::expressions::Variable> const& rowVariables, std::set<storm::expressions::Variable> const& columnVariables, std::set<storm::expressions::Variable> const& nondeterminismVariables, Partition<storm::dd::DdType::CUDD, ValueType> const& partition, storm::dd::Bdd<storm::dd::DdType::CUDD> const& representatives, storm::dd::Odd const& odd) : InternalSparseQuotientExtractorBase<storm::dd::DdType::CUDD, ValueType>(manager, rowVariables, columnVariables, nondeterminismVariables, partition, representatives, odd), ddman(this->manager.getInternalDdManager().getCuddManager().getManager()) {
STORM_LOG_ASSERT(this->partition.storedAsAdd(), "Expected partition to be stored as an ADD."); STORM_LOG_ASSERT(this->partition.storedAsAdd(), "Expected partition to be stored as an ADD.");
this->partition.asAdd().exportToDot("part.dot");
odd.exportToDot("odd.dot");
this->representatives.exportToDot("reprbdd.dot");
this->representatives.template toAdd<ValueType>().exportToDot("repr.dot");
this->createBlockToOffsetMapping(); this->createBlockToOffsetMapping();
} }
@ -319,25 +325,13 @@ namespace storm {
} }
void createBlockToOffsetMappingRec(DdNodePtr partitionNode, DdNodePtr representativesNode, DdNodePtr variables, storm::dd::Odd const& odd, uint64_t offset) { void createBlockToOffsetMappingRec(DdNodePtr partitionNode, DdNodePtr representativesNode, DdNodePtr variables, storm::dd::Odd const& odd, uint64_t offset) {
STORM_LOG_ASSERT(partitionNode != Cudd_ReadZero(ddman) || representativesNode == Cudd_ReadLogicZero(ddman), "Expected representative to be zero if the partition is zero.");
if (representativesNode == Cudd_ReadLogicZero(ddman)) { if (representativesNode == Cudd_ReadLogicZero(ddman)) {
std::cout << "returning early" << std::endl;
return; return;
} }
if (representativesNode == Cudd_ReadOne(ddman)) {
std::cout << "repr is one" << std::endl;
}
if (partitionNode == Cudd_ReadOne(ddman)) {
std::cout << "part is zero" << std::endl;
} else if (partitionNode == Cudd_ReadOne(ddman)) {
std::cout << "part is one" << std::endl;
}
std::cout << "got call " << partitionNode << ", " << representativesNode << ", " << variables << ", " << offset << ", " << Cudd_IsConstant(variables) << std::endl;
if (Cudd_IsConstant(variables)) { if (Cudd_IsConstant(variables)) {
STORM_LOG_ASSERT(odd.isTerminalNode(), "Expected terminal node."); STORM_LOG_ASSERT(odd.isTerminalNode(), "Expected terminal node.");
std::cout << "inserting " << partitionNode << " -> " << offset << std::endl;
STORM_LOG_ASSERT(blockToOffset.find(partitionNode) == blockToOffset.end(), "Duplicate entry."); STORM_LOG_ASSERT(blockToOffset.find(partitionNode) == blockToOffset.end(), "Duplicate entry.");
blockToOffset[partitionNode] = offset; blockToOffset[partitionNode] = offset;
} else { } else {
@ -348,7 +342,6 @@ namespace storm {
partitionT = Cudd_T(partitionNode); partitionT = Cudd_T(partitionNode);
partitionE = Cudd_E(partitionNode); partitionE = Cudd_E(partitionNode);
} else { } else {
std::cout << "[1] skipped " << Cudd_NodeReadIndex(variables) << ", got " << Cudd_NodeReadIndex(partitionNode) << std::endl;
partitionT = partitionE = partitionNode; partitionT = partitionE = partitionNode;
} }
@ -358,7 +351,6 @@ namespace storm {
representativesT = Cudd_T(representativesNode); representativesT = Cudd_T(representativesNode);
representativesE = Cudd_E(representativesNode); representativesE = Cudd_E(representativesNode);
} else { } else {
std::cout << "[2] skipped " << Cudd_NodeReadIndex(variables) << ", got " << Cudd_NodeReadIndex(representativesNode) << std::endl;
representativesT = representativesE = representativesNode; representativesT = representativesE = representativesNode;
} }
@ -367,12 +359,9 @@ namespace storm {
representativesT = Cudd_Not(representativesT); representativesT = Cudd_Not(representativesT);
} }
std::cout << "else" << std::endl;
createBlockToOffsetMappingRec(partitionE, representativesE, Cudd_T(variables), odd.getElseSuccessor(), offset); createBlockToOffsetMappingRec(partitionE, representativesE, Cudd_T(variables), odd.getElseSuccessor(), offset);
std::cout << "then with offset " << odd.getElseOffset() << std::endl;
createBlockToOffsetMappingRec(partitionT, representativesT, Cudd_T(variables), odd.getThenSuccessor(), offset + odd.getElseOffset()); createBlockToOffsetMappingRec(partitionT, representativesT, Cudd_T(variables), odd.getThenSuccessor(), offset + odd.getElseOffset());
} }
std::cout << "returning" << std::endl;
} }
void extractTransitionMatrixRec(DdNodePtr transitionMatrixNode, storm::dd::Odd const& sourceOdd, uint64_t sourceOffset, DdNodePtr targetPartitionNode, DdNodePtr representativesNode, DdNodePtr variables) { void extractTransitionMatrixRec(DdNodePtr transitionMatrixNode, storm::dd::Odd const& sourceOdd, uint64_t sourceOffset, DdNodePtr targetPartitionNode, DdNodePtr representativesNode, DdNodePtr variables) {
@ -468,137 +457,137 @@ namespace storm {
public: public:
InternalSparseQuotientExtractor(storm::dd::DdManager<storm::dd::DdType::Sylvan> const& manager, std::set<storm::expressions::Variable> const& rowVariables, std::set<storm::expressions::Variable> const& columnVariables, std::set<storm::expressions::Variable> const& nondeterminismVariables, Partition<storm::dd::DdType::Sylvan, ValueType> const& partition, storm::dd::Bdd<storm::dd::DdType::Sylvan> const& representatives, storm::dd::Odd const& odd) : InternalSparseQuotientExtractorBase<storm::dd::DdType::Sylvan, ValueType>(manager, rowVariables, columnVariables, nondeterminismVariables, partition, representatives, odd) { InternalSparseQuotientExtractor(storm::dd::DdManager<storm::dd::DdType::Sylvan> const& manager, std::set<storm::expressions::Variable> const& rowVariables, std::set<storm::expressions::Variable> const& columnVariables, std::set<storm::expressions::Variable> const& nondeterminismVariables, Partition<storm::dd::DdType::Sylvan, ValueType> const& partition, storm::dd::Bdd<storm::dd::DdType::Sylvan> const& representatives, storm::dd::Odd const& odd) : InternalSparseQuotientExtractorBase<storm::dd::DdType::Sylvan, ValueType>(manager, rowVariables, columnVariables, nondeterminismVariables, partition, representatives, odd) {
STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Möööp");
STORM_LOG_ASSERT(partition.storedAsBdd(), "Expected partition stored as BDD."); STORM_LOG_ASSERT(partition.storedAsBdd(), "Expected partition stored as BDD.");
this->createBlockToOffsetMapping();
} }
storm::storage::SparseMatrix<ValueType> extractTransitionMatrix(storm::dd::Add<storm::dd::DdType::Sylvan, ValueType> const& transitionMatrix) { storm::storage::SparseMatrix<ValueType> extractTransitionMatrix(storm::dd::Add<storm::dd::DdType::Sylvan, ValueType> const& transitionMatrix) {
STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Möööp");
// // Create the number of rows necessary for the matrix.
// this->reserveMatrixEntries(partition.getNumberOfBlocks());
//
// storm::storage::BitVector stateEncoding(this->sourceVariablesIndicesAndLevels.size());
// storm::storage::BitVector nondeterminismEncoding;
// extractTransitionMatrixRec(transitionMatrix.getInternalAdd().getSylvanMtbdd().GetMTBDD(), partition.asBdd().getInternalBdd().getSylvanBdd().GetBDD(), partition.asBdd().getInternalBdd().getSylvanBdd().GetBDD(), 0, stateEncoding, nondeterminismEncoding);
//
// return this->createMatrixFromEntries(partition);
// Create the number of rows necessary for the matrix.
this->reserveMatrixEntries(this->partition.getNumberOfBlocks());
extractTransitionMatrixRec(transitionMatrix.getInternalAdd().getSylvanMtbdd().GetMTBDD(), this->odd, 0, this->partition.asBdd().getInternalBdd().getSylvanBdd().GetBDD(), this->representatives.getInternalBdd().getSylvanBdd().GetBDD(), this->allSourceVariablesCube.getInternalBdd().getSylvanBdd().GetBDD());
return this->createMatrixFromEntries();
} }
private: private:
// void extractTransitionMatrixRec(MTBDD transitionMatrixNode, BDD sourcePartitionNode, BDD targetPartitionNode, uint64_t currentIndex, storm::storage::BitVector& sourceState, storm::storage::BitVector const& nondeterminismEncoding, ValueType const& factor = storm::utility::one<ValueType>()) {
// // For the empty DD, we do not need to add any entries. Note that the partition nodes cannot be zero
// // as all states of the model have to be contained.
// if (mtbdd_iszero(transitionMatrixNode)) {
// return;
// }
//
// // If we have moved through all source variables, we must have arrived at a target block encoding.
// if (currentIndex == sourceState.size()) {
// // Decode the source block.
// uint64_t sourceBlockIndex = decodeBlockIndex(sourcePartitionNode);
//
// std::unique_ptr<storm::storage::BitVector>& sourceRepresentative = this->uniqueSourceRepresentative[sourceBlockIndex];
// if (sourceRepresentative && *sourceRepresentative != sourceState) {
// // In this case, we have picked a different representative and must not record any entries now.
// return;
// }
//
// // Otherwise, we record the new representative.
// sourceRepresentative.reset(new storm::storage::BitVector(sourceState));
//
// // Decode the target block and add matrix entry.
// uint64_t targetBlockIndex = decodeBlockIndex(targetPartitionNode);
// this->addMatrixEntry(nondeterminismEncoding, sourceBlockIndex, targetBlockIndex, factor * storm::dd::InternalAdd<storm::dd::DdType::Sylvan, ValueType>::getValue(transitionMatrixNode));
// } else {
// // Determine the levels in the DDs.
// uint64_t transitionMatrixVariable = sylvan_isconst(transitionMatrixNode) ? 0xffffffff : sylvan_var(transitionMatrixNode);
// uint64_t sourcePartitionVariable = sylvan_var(sourcePartitionNode) - 1;
// uint64_t targetPartitionVariable = sylvan_var(targetPartitionNode) - 1;
//
// // Move through transition matrix.
// bool skippedSourceInMatrix = false;
// bool skippedTargetTInMatrix = false;
// bool skippedTargetEInMatrix = false;
// MTBDD tt = transitionMatrixNode;
// MTBDD te = transitionMatrixNode;
// MTBDD et = transitionMatrixNode;
// MTBDD ee = transitionMatrixNode;
// if (transitionMatrixVariable == this->sourceVariablesIndicesAndLevels[currentIndex].first) {
// MTBDD t = sylvan_high(transitionMatrixNode);
// MTBDD e = sylvan_low(transitionMatrixNode);
//
// uint64_t tVariable = sylvan_isconst(t) ? 0xffffffff : sylvan_var(t);
// if (tVariable == this->sourceVariablesIndicesAndLevels[currentIndex].first + 1) {
// tt = sylvan_high(t);
// te = sylvan_low(t);
// } else {
// tt = te = t;
// skippedTargetTInMatrix = true;
// }
//
// uint64_t eVariable = sylvan_isconst(e) ? 0xffffffff : sylvan_var(e);
// if (eVariable == this->sourceVariablesIndicesAndLevels[currentIndex].first + 1) {
// et = sylvan_high(e);
// ee = sylvan_low(e);
// } else {
// et = ee = e;
// skippedTargetEInMatrix = true;
// }
// } else {
// skippedSourceInMatrix = true;
// if (transitionMatrixVariable == this->sourceVariablesIndicesAndLevels[currentIndex].first + 1) {
// tt = et = sylvan_high(transitionMatrixNode);
// te = ee = sylvan_low(transitionMatrixNode);
// } else {
// tt = te = et = ee = transitionMatrixNode;
// skippedTargetTInMatrix = skippedTargetEInMatrix = true;
// }
// }
//
// // Move through partition (for source state).
// bool skippedInSourcePartition = false;
// MTBDD sourceT;
// MTBDD sourceE;
// if (sourcePartitionVariable == this->sourceVariablesIndicesAndLevels[currentIndex].first) {
// sourceT = sylvan_high(sourcePartitionNode);
// sourceE = sylvan_low(sourcePartitionNode);
// } else {
// sourceT = sourceE = sourcePartitionNode;
// skippedInSourcePartition = true;
// }
//
// // Move through partition (for target state).
// bool skippedInTargetPartition = false;
// MTBDD targetT;
// MTBDD targetE;
// if (targetPartitionVariable == this->sourceVariablesIndicesAndLevels[currentIndex].first) {
// targetT = sylvan_high(targetPartitionNode);
// targetE = sylvan_low(targetPartitionNode);
// } else {
// targetT = targetE = targetPartitionNode;
// skippedInTargetPartition = true;
// }
//
// // If we skipped the variable in the source partition, we only have to choose one of the two representatives.
// if (!skippedInSourcePartition) {
// sourceState.set(currentIndex, true);
// // If we skipped the variable in the target partition, just count the one representative twice.
// if (!skippedInTargetPartition || !skippedTargetTInMatrix) {
// extractTransitionMatrixRec(tt, sourceT, targetT, currentIndex + 1, sourceState, nondeterminismEncoding, factor);
// }
// extractTransitionMatrixRec(te, sourceT, targetE, currentIndex + 1, sourceState, nondeterminismEncoding, skippedTargetTInMatrix && skippedInTargetPartition ? 2 * factor : factor);
// }
//
// sourceState.set(currentIndex, false);
// // If we skipped the variable in the target partition, just count the one representative twice.
// if (!skippedInTargetPartition || !skippedTargetEInMatrix) {
// extractTransitionMatrixRec(et, sourceE, targetT, currentIndex + 1, sourceState, nondeterminismEncoding, factor);
// }
// extractTransitionMatrixRec(ee, sourceE, targetE, currentIndex + 1, sourceState, nondeterminismEncoding, skippedTargetEInMatrix && skippedInTargetPartition ? 2 * factor : factor);
// }
// }
void createBlockToOffsetMapping() {
this->createBlockToOffsetMappingRec(this->partition.asBdd().getInternalBdd().getSylvanBdd().GetBDD(), this->representatives.getInternalBdd().getSylvanBdd().GetBDD(), this->rowVariablesCube.getInternalBdd().getSylvanBdd().GetBDD(), this->odd, 0);
STORM_LOG_ASSERT(blockToOffset.size() == this->partition.getNumberOfBlocks(), "Mismatching block-to-offset mapping: " << blockToOffset.size() << " vs. " << this->partition.getNumberOfBlocks() << ".");
}
void createBlockToOffsetMappingRec(BDD partitionNode, BDD representativesNode, BDD variables, storm::dd::Odd const& odd, uint64_t offset) {
STORM_LOG_ASSERT(partitionNode != sylvan_false || representativesNode == sylvan_false, "Expected representative to be zero if the partition is zero.");
if (representativesNode == sylvan_false) {
return;
}
if (sylvan_isconst(variables)) {
STORM_LOG_ASSERT(odd.isTerminalNode(), "Expected terminal node.");
STORM_LOG_ASSERT(blockToOffset.find(partitionNode) == blockToOffset.end(), "Duplicate entry.");
blockToOffset[partitionNode] = offset;
} else {
STORM_LOG_ASSERT(!odd.isTerminalNode(), "Expected non-terminal node.");
BDD partitionT;
BDD partitionE;
if (sylvan_var(partitionNode) == sylvan_var(variables) + 1) {
partitionT = sylvan_high(partitionNode);
partitionE = sylvan_low(partitionNode);
} else {
partitionT = partitionE = partitionNode;
}
BDD representativesT;
BDD representativesE;
if (sylvan_var(representativesNode) == sylvan_var(variables)) {
representativesT = sylvan_high(representativesNode);
representativesE = sylvan_low(representativesNode);
} else {
representativesT = representativesE = representativesNode;
}
createBlockToOffsetMappingRec(partitionE, representativesE, sylvan_high(variables), odd.getElseSuccessor(), offset);
createBlockToOffsetMappingRec(partitionT, representativesT, sylvan_high(variables), odd.getThenSuccessor(), offset + odd.getElseOffset());
}
}
void extractTransitionMatrixRec(MTBDD transitionMatrixNode, storm::dd::Odd const& sourceOdd, uint64_t sourceOffset, BDD targetPartitionNode, BDD representativesNode, BDD variables) {
// For the empty DD, we do not need to add any entries. Note that the partition nodes cannot be zero
// as all states of the model have to be contained.
if (mtbdd_iszero(transitionMatrixNode) || representativesNode == sylvan_false) {
return;
}
// If we have moved through all source variables, we must have arrived at a target block encoding.
if (sylvan_isconst(variables)) {
STORM_LOG_ASSERT(sylvan_isconst(transitionMatrixNode), "Expected constant node.");
this->addMatrixEntry(sourceOffset, blockToOffset.at(targetPartitionNode), storm::dd::InternalAdd<storm::dd::DdType::Sylvan, ValueType>::getValue(transitionMatrixNode));
} else {
MTBDD t;
MTBDD tt;
MTBDD te;
MTBDD e;
MTBDD et;
MTBDD ee;
if (sylvan_var(transitionMatrixNode) == sylvan_var(variables)) {
// Source node was not skipped in transition matrix.
t = sylvan_high(transitionMatrixNode);
e = sylvan_low(transitionMatrixNode);
} else {
t = e = transitionMatrixNode;
}
if (sylvan_var(t) == sylvan_var(variables) + 1) {
// Target node was not skipped in transition matrix.
tt = sylvan_high(t);
te = sylvan_low(t);
} else {
// Target node was skipped in transition matrix.
tt = te = t;
}
if (t != e) {
if (sylvan_var(e) == sylvan_var(variables) + 1) {
// Target node was not skipped in transition matrix.
et = sylvan_high(e);
ee = sylvan_low(e);
} else {
// Target node was skipped in transition matrix.
et = ee = e;
}
} else {
et = tt;
ee = te;
}
BDD targetT;
BDD targetE;
if (sylvan_var(targetPartitionNode) == sylvan_var(variables) + 1) {
// Node was not skipped in target partition.
targetT = sylvan_high(targetPartitionNode);
targetE = sylvan_low(targetPartitionNode);
} else {
// Node was skipped in target partition.
targetT = targetE = targetPartitionNode;
}
BDD representativesT;
BDD representativesE;
if (sylvan_var(representativesNode) == sylvan_var(variables)) {
// Node was not skipped in representatives.
representativesT = sylvan_high(representativesNode);
representativesE = sylvan_low(representativesNode);
} else {
// Node was skipped in representatives.
representativesT = representativesE = representativesNode;
}
extractTransitionMatrixRec(ee, sourceOdd.getElseSuccessor(), sourceOffset, targetE, representativesE, sylvan_high(variables));
extractTransitionMatrixRec(et, sourceOdd.getElseSuccessor(), sourceOffset, targetT, representativesE, sylvan_high(variables));
extractTransitionMatrixRec(te, sourceOdd.getThenSuccessor(), sourceOffset + sourceOdd.getElseOffset(), targetE, representativesT, sylvan_high(variables));
extractTransitionMatrixRec(tt, sourceOdd.getThenSuccessor(), sourceOffset + sourceOdd.getElseOffset(), targetT, representativesT, sylvan_high(variables));
}
}
spp::sparse_hash_map<BDD, std::unique_ptr<uint64_t>> blockDecodeCache;
// A mapping from blocks (stored in terms of a DD node) to the offset of the corresponding block.
spp::sparse_hash_map<BDD, uint64_t> blockToOffset;
}; };
template<storm::dd::DdType DdType, typename ValueType> template<storm::dd::DdType DdType, typename ValueType>
@ -636,6 +625,7 @@ namespace storm {
// FIXME: Use partition as BDD in representative computation. // FIXME: Use partition as BDD in representative computation.
auto representatives = InternalRepresentativeComputer<DdType, ValueType>(partition, model.getRowVariables(), model.getColumnVariables()).getRepresentatives(); auto representatives = InternalRepresentativeComputer<DdType, ValueType>(partition, model.getRowVariables(), model.getColumnVariables()).getRepresentatives();
STORM_LOG_ASSERT(representatives.getNonZeroCount() == partition.getNumberOfBlocks(), "Representatives size does not match that of the partition: " << representatives.getNonZeroCount() << " vs. " << partition.getNumberOfBlocks() << "."); STORM_LOG_ASSERT(representatives.getNonZeroCount() == partition.getNumberOfBlocks(), "Representatives size does not match that of the partition: " << representatives.getNonZeroCount() << " vs. " << partition.getNumberOfBlocks() << ".");
STORM_LOG_ASSERT((representatives && partitionAsBdd).existsAbstract(model.getRowVariables()) == partitionAsBdd.existsAbstract(model.getRowVariables()), "Representatives do not cover all blocks.");
storm::dd::Odd odd = representatives.createOdd(); storm::dd::Odd odd = representatives.createOdd();
STORM_LOG_ASSERT(odd.getTotalOffset() == representatives.getNonZeroCount(), "Mismatching ODD."); STORM_LOG_ASSERT(odd.getTotalOffset() == representatives.getNonZeroCount(), "Mismatching ODD.");
InternalSparseQuotientExtractor<DdType, ValueType> sparseExtractor(model.getManager(), model.getRowVariables(), model.getColumnVariables(), model.getNondeterminismVariables(), partition, representatives, odd); InternalSparseQuotientExtractor<DdType, ValueType> sparseExtractor(model.getManager(), model.getRowVariables(), model.getColumnVariables(), model.getNondeterminismVariables(), partition, representatives, odd);

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