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Update documentation with fixed choices

tempestpy_adaptions
Jip Spel 3 years ago
parent
commit
9f5128c4af
  1. 6
      src/storm-pars/modelchecker/region/SparseDtmcParameterLiftingModelChecker.cpp
  2. 14
      src/storm/solver/IterativeMinMaxLinearEquationSolver.cpp
  3. 14
      src/storm/solver/MinMaxLinearEquationSolver.cpp
  4. 16
      src/storm/solver/MinMaxLinearEquationSolver.h
  5. 24
      src/storm/solver/TopologicalMinMaxLinearEquationSolver.cpp

6
src/storm-pars/modelchecker/region/SparseDtmcParameterLiftingModelChecker.cpp

@ -305,7 +305,7 @@ namespace storm {
solver->setTrackScheduler(true);
if (localMonotonicityResult != nullptr && !this->isOnlyGlobalSet()) {
storm::storage::BitVector fixedStates(parameterLifter->getRowGroupCount(), false);
storm::storage::BitVector choiceFixedForStates(parameterLifter->getRowGroupCount(), false);
bool useMinimize = storm::solver::minimize(dirForParameters);
if (useMinimize && !minSchedChoices) {
@ -346,10 +346,10 @@ namespace storm {
}
}
if (allMonotone) {
fixedStates.set(state);
choiceFixedForStates.set(state);
}
}
solver->setFixedStates(std::move(fixedStates));
solver->setChoiceFixedForStates(std::move(choiceFixedForStates));
}
if (storm::solver::minimize(dirForParameters) && minSchedChoices)

14
src/storm/solver/IterativeMinMaxLinearEquationSolver.cpp

@ -98,11 +98,11 @@ namespace storm {
// Resolve the nondeterminism according to the given scheduler.
bool convertToEquationSystem = this->linearEquationSolverFactory->getEquationProblemFormat(env) == LinearEquationSolverProblemFormat::EquationSystem;
storm::storage::SparseMatrix<ValueType> submatrix;
if (this->fixedStates) {
for (auto state : this->fixedStates.get()) {
assert (this->A->getRowGroupSize(state) == 1);
}
}
// if (this->choiceFixedForState) {
// for (auto state : this->choiceFixedForState.get()) {
// assert (this->A->getRowGroupSize(state) == 1);
// }
// }
submatrix = this->A->selectRowsFromRowGroups(scheduler, convertToEquationSystem);
if (convertToEquationSystem) {
@ -176,7 +176,7 @@ namespace storm {
for (uint_fast64_t group = 0; group < this->A->getRowGroupCount(); ++group) {
uint_fast64_t currentChoice = scheduler[group];
// TODO: remove, as this should already be fixed by implementation to determine matrix/vector
if (!this->fixedStates || (this->fixedStates && !(this->fixedStates.get()[group]))) {
if (!this->choiceFixedForState || (this->choiceFixedForState && !(this->choiceFixedForState.get()[group]))) {
for (uint_fast64_t choice = this->A->getRowGroupIndices()[group];
choice < this->A->getRowGroupIndices()[group + 1]; ++choice) {
// If the choice is the currently selected one, we can skip it.
@ -201,7 +201,7 @@ namespace storm {
}
}
} else {
STORM_LOG_INFO("Ignoring state" << group << " as this state is locally monotone");
STORM_LOG_INFO("Ignoring state" << group << " as the choice of this state is fixed");
}
}

14
src/storm/solver/MinMaxLinearEquationSolver.cpp

@ -128,7 +128,7 @@ namespace storm {
template<typename ValueType>
void MinMaxLinearEquationSolver<ValueType>::setInitialScheduler(std::vector<uint_fast64_t>&& choices) {
assert (!this->fixedStates || this->fixedStates.get().size() == choices.size());
assert (!this->choiceFixedForState || this->choiceFixedForState.get().size() == choices.size());
initialScheduler = std::move(choices);
}
@ -158,15 +158,15 @@ namespace storm {
}
template<class ValueType>
void MinMaxLinearEquationSolver<ValueType>::setFixedStates(storm::storage::BitVector&& states) {
this->fixedStates = std::move(states);
assert (this->fixedStates);
void MinMaxLinearEquationSolver<ValueType>::setChoiceFixedForStates(storm::storage::BitVector&& states) {
this->choiceFixedForState = std::move(states);
assert (this->choiceFixedForState);
}
template<class ValueType>
void MinMaxLinearEquationSolver<ValueType>::updateScheduler() {
assert (this->initialScheduler && this->fixedStates);
for (auto state : this->fixedStates.get()) {
void MinMaxLinearEquationSolver<ValueType>::setFixedChoicesToFirst() {
assert (this->initialScheduler && this->choiceFixedForState);
for (auto state : this->choiceFixedForState.get()) {
this->initialScheduler.get()[state] = 0;
}
}

16
src/storm/solver/MinMaxLinearEquationSolver.h

@ -70,8 +70,18 @@ namespace storm {
*/
void unsetOptimizationDirection();
void setFixedStates(storm::storage::BitVector&& states);
void updateScheduler();
/*!
* Sets the states for which the choices are fixed.
* Expecting the matrix to only have one choice for the states which are fixed.
* @param states bitvector with the states where the choices are fixed.
*/
void setChoiceFixedForStates(storm::storage::BitVector&& states);
/*!
* Sets the initialChoices for the states of which the choices are fixed on the first choice available (0)
* Expecting the matrix to only have one choice for the state
*/
void setFixedChoicesToFirst();
/*!
* Sets whether the solution to the min max equation system is known to be unique.
@ -186,7 +196,7 @@ namespace storm {
// A scheduler that can be used by solvers that require a valid initial scheduler.
boost::optional<std::vector<uint_fast64_t>> initialScheduler;
boost::optional<storm::storage::BitVector> fixedStates;
boost::optional<storm::storage::BitVector> choiceFixedForState;
private:
/// Whether the solver can assume that the min-max equation system has a unique solution

24
src/storm/solver/TopologicalMinMaxLinearEquationSolver.cpp

@ -69,7 +69,7 @@ namespace storm {
}
bool returnValue = true;
if (this->sortedSccDecomposition->size() == 1 && (!this->fixedStates || this->fixedStates.get().empty())) {
if (this->sortedSccDecomposition->size() == 1 && (!this->choiceFixedForState || this->choiceFixedForState.get().empty())) {
// Handle the case where there is just one large SCC, as there are no fixed states, we solve it like this
returnValue = solveFullyConnectedEquationSystem(sccSolverEnvironment, dir, x, b);
} else {
@ -99,14 +99,14 @@ namespace storm {
bool allIgnored = true;
sccRowGroupsAsBitVector.set(group, true);
if (!this->fixedStates || !this->fixedStates.get()[group]) {
if (!this->choiceFixedForState || !this->choiceFixedForState.get()[group]) {
for (uint64_t row = this->A->getRowGroupIndices()[group]; row < this->A->getRowGroupIndices()[group + 1]; ++row) {
sccRowsAsBitVector.set(row, true);
}
} else {
auto row = this->A->getRowGroupIndices()[group]+this->getInitialScheduler()[group];
sccRowsAsBitVector.set(row, true);
STORM_LOG_INFO("Fixing state " << group << " to option " << this->getInitialScheduler()[group] << " because of local monotonicity.");
STORM_LOG_INFO("Fixing state " << group << " to choice " << this->getInitialScheduler()[group] << ".");
}
}
returnValue = solveScc(sccSolverEnvironment, dir, sccRowGroupsAsBitVector, sccRowsAsBitVector, x, b) && returnValue;
@ -150,7 +150,7 @@ namespace storm {
ValueType& xi = globalX[sccState];
bool firstRow = true;
uint64_t bestRow;
if (this->fixedStates && this->fixedStates.get()[sccState]) {
if (this->choiceFixedForState && this->choiceFixedForState.get()[sccState]) {
assert (this->hasInitialScheduler());
uint64_t row = this->A->getRowGroupIndices()[sccState] + this->initialScheduler.get()[sccState];
ValueType rowValue = globalB[row];
@ -175,7 +175,7 @@ namespace storm {
} else {
xi = std::move(rowValue);
}
STORM_LOG_INFO("Ignoring state" << sccState << " as the scheduler is fixed by monotonicity, current probability for this state is: " << this->schedulerChoices.get()[sccState]);
STORM_LOG_INFO("Ignoring state" << sccState << " as the choice is fixed, current probability for this state is: " << this->schedulerChoices.get()[sccState]);
} else {
for (uint64_t row = this->A->getRowGroupIndices()[sccState]; row < this->A->getRowGroupIndices()[sccState + 1]; ++row) {
ValueType rowValue = globalB[row];
@ -277,16 +277,16 @@ namespace storm {
this->sccSolver = GeneralMinMaxLinearEquationSolverFactory<ValueType>().create(sccSolverEnvironment);
this->sccSolver->setCachingEnabled(true);
}
if (this->fixedStates) {
if (this->choiceFixedForState) {
// convert fixed states to only fixed states of sccs
storm::storage::BitVector fixedStatesSCC(sccRowGroups.getNumberOfSetBits());
storm::storage::BitVector choiceFixedForStateSCC(sccRowGroups.getNumberOfSetBits());
auto j = 0;
for (auto i : sccRowGroups) {
fixedStatesSCC.set(j, this->fixedStates.get()[i]);
choiceFixedForStateSCC.set(j, this->choiceFixedForState.get()[i]);
j++;
}
assert (j = sccRowGroups.getNumberOfSetBits());
this->sccSolver->setFixedStates(std::move(fixedStatesSCC));
this->sccSolver->setChoiceFixedForStates(std::move(choiceFixedForStateSCC));
}
this->sccSolver->setHasUniqueSolution(this->hasUniqueSolution());
this->sccSolver->setHasNoEndComponents(this->hasNoEndComponents());
@ -294,7 +294,7 @@ namespace storm {
// SCC Matrix
storm::storage::SparseMatrix<ValueType> sccA;
if (this->fixedStates) {
if (this->choiceFixedForState) {
sccA = this->A->getSubmatrix(false, sccRows, sccRowGroups);
} else {
sccA = this->A->getSubmatrix(true, sccRowGroups, sccRowGroups);
@ -325,8 +325,8 @@ namespace storm {
if (this->hasInitialScheduler()) {
auto sccInitChoices = storm::utility::vector::filterVector(this->getInitialScheduler(), sccRowGroups);
this->sccSolver->setInitialScheduler(std::move(sccInitChoices));
if (this->fixedStates) {
this->sccSolver->updateScheduler();
if (this->choiceFixedForState) {
this->sccSolver->setFixedChoicesToFirst();
}
}
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