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finished computeBoundedUntilProbability in SparseSmgRpatlHelper

tempestpy_adaptions
Lukas Posch 3 years ago
committed by Stefan Pranger
parent
commit
9fea23981a
  1. 114
      src/storm/modelchecker/rpatl/helper/SparseSmgRpatlHelper.cpp

114
src/storm/modelchecker/rpatl/helper/SparseSmgRpatlHelper.cpp

@ -22,19 +22,13 @@ namespace storm {
// Relevant states are those states which are phiStates and not PsiStates. // Relevant states are those states which are phiStates and not PsiStates.
storm::storage::BitVector relevantStates = phiStates & ~psiStates; storm::storage::BitVector relevantStates = phiStates & ~psiStates;
// TODO: check if relevantStates should be used for the size of x
// Initialize the x vector and solution vector result. // Initialize the x vector and solution vector result.
//std::vector<ValueType> x = std::vector<ValueType>(transitionMatrix.getRowGroupCount() - psiStates.getNumberOfSetBits(), storm::utility::zero<ValueType>());
std::vector<ValueType> x = std::vector<ValueType>(relevantStates.getNumberOfSetBits(), storm::utility::zero<ValueType>()); std::vector<ValueType> x = std::vector<ValueType>(relevantStates.getNumberOfSetBits(), storm::utility::zero<ValueType>());
std::vector<ValueType> result = std::vector<ValueType>(transitionMatrix.getRowGroupCount(), storm::utility::zero<ValueType>()); std::vector<ValueType> result = std::vector<ValueType>(transitionMatrix.getRowGroupCount(), storm::utility::zero<ValueType>());
std::vector<ValueType> b = transitionMatrix.getConstrainedRowGroupSumVector(relevantStates, psiStates); std::vector<ValueType> b = transitionMatrix.getConstrainedRowGroupSumVector(relevantStates, psiStates);
std::vector<ValueType> constrainedChoiceValues = std::vector<ValueType>(b.size(), storm::utility::zero<ValueType>()); std::vector<ValueType> constrainedChoiceValues = std::vector<ValueType>(b.size(), storm::utility::zero<ValueType>());
std::unique_ptr<storm::storage::Scheduler<ValueType>> scheduler; std::unique_ptr<storm::storage::Scheduler<ValueType>> scheduler;
STORM_LOG_DEBUG("statesOfCoalition: " << statesOfCoalition);
storm::storage::BitVector clippedStatesOfCoalition(relevantStates.getNumberOfSetBits()); storm::storage::BitVector clippedStatesOfCoalition(relevantStates.getNumberOfSetBits());
clippedStatesOfCoalition.setClippedStatesOfCoalition(relevantStates, statesOfCoalition); clippedStatesOfCoalition.setClippedStatesOfCoalition(relevantStates, statesOfCoalition);
@ -177,31 +171,18 @@ namespace storm {
template<typename ValueType> template<typename ValueType>
SMGSparseModelCheckingHelperReturnType<ValueType> SparseSmgRpatlHelper<ValueType>::computeBoundedUntilProbabilities(Environment const& env, storm::solver::SolveGoal<ValueType>&& goal, storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::SparseMatrix<ValueType> const& backwardTransitions, storm::storage::BitVector const& phiStates, storm::storage::BitVector const& psiStates, bool qualitative, storm::storage::BitVector statesOfCoalition, bool produceScheduler, ModelCheckerHint const& hint,uint64_t lowerBound, uint64_t upperBound) { SMGSparseModelCheckingHelperReturnType<ValueType> SparseSmgRpatlHelper<ValueType>::computeBoundedUntilProbabilities(Environment const& env, storm::solver::SolveGoal<ValueType>&& goal, storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::SparseMatrix<ValueType> const& backwardTransitions, storm::storage::BitVector const& phiStates, storm::storage::BitVector const& psiStates, bool qualitative, storm::storage::BitVector statesOfCoalition, bool produceScheduler, ModelCheckerHint const& hint,uint64_t lowerBound, uint64_t upperBound) {
STORM_LOG_DEBUG("lowerBound = " << lowerBound);
STORM_LOG_DEBUG("upperBound = " << upperBound);
auto solverEnv = env; auto solverEnv = env;
solverEnv.solver().minMax().setMethod(storm::solver::MinMaxMethod::ValueIteration, false); solverEnv.solver().minMax().setMethod(storm::solver::MinMaxMethod::ValueIteration, false);
// relevantStates are default all set
// if the upper bound is 0 a psiState cannot be passed between 0 and the lower bound - we can reduce the relevant states and fill the psi states in the result with 1s.
//storm::storage::BitVector relevantStates(transitionMatrix.getRowGroupCount(), true);
// boundedUntil formulas look like:
// phi U [lowerBound, upperBound] psi
// --
// We solve this by look at psiStates, finding phiStates which have paths to psiStates in the given step bounds,
// then we find all states which have a path to those phiStates in the given lower bound
// (which states the paths pass before the lower bound does not matter).
// First initialization of relevantStates between the step bounds.
storm::storage::BitVector relevantStates = phiStates & ~psiStates; storm::storage::BitVector relevantStates = phiStates & ~psiStates;
storm::storage::BitVector makeZeroColumns;
/* if (goal.minimize()) {
relevantStates = storm::utility::graph::performProbGreater0A(transitionMatrix, transitionMatrix.getRowGroupIndices(), backwardTransitions, phiStates, psiStates, true, upperBound);
} else {
relevantStates = storm::utility::graph::performProbGreater0E(backwardTransitions, phiStates, psiStates, true, upperBound);
}*/
/* if(lowerBound == 0) {
STORM_LOG_DEBUG("LOWER BOUND = 0, relevant states are the not-psiStates");
relevantStates = phiStates & ~psiStates;
}*/ /*else {
STORM_LOG_DEBUG("LOWER BOUND !=0, relevant states are all states, makeZeroColumns = psiStates");
makeZeroColumns = psiStates;
}*/
STORM_LOG_DEBUG("relevantStates = " << relevantStates);
// Initializations. // Initializations.
std::vector<ValueType> x = std::vector<ValueType>(relevantStates.getNumberOfSetBits(), storm::utility::zero<ValueType>()); std::vector<ValueType> x = std::vector<ValueType>(relevantStates.getNumberOfSetBits(), storm::utility::zero<ValueType>());
@ -212,65 +193,47 @@ namespace storm {
storm::storage::BitVector clippedStatesOfCoalition(relevantStates.getNumberOfSetBits()); storm::storage::BitVector clippedStatesOfCoalition(relevantStates.getNumberOfSetBits());
clippedStatesOfCoalition.setClippedStatesOfCoalition(relevantStates, statesOfCoalition); clippedStatesOfCoalition.setClippedStatesOfCoalition(relevantStates, statesOfCoalition);
//clippedStatesOfCoalition.complement();
STORM_LOG_DEBUG(clippedStatesOfCoalition);
// If there are no relevantStates or the upperBound is 0, no computation is needed.
if(!relevantStates.empty() && upperBound > 0) { if(!relevantStates.empty() && upperBound > 0) {
// Reduce the matrix to relevant states. - relevant states are all states
storm::storage::SparseMatrix<ValueType> submatrix = transitionMatrix.getSubmatrix(true, relevantStates, relevantStates, false, makeZeroColumns);
// Reduce the matrix to relevant states. - relevant states are all states.
storm::storage::SparseMatrix<ValueType> submatrix = transitionMatrix.getSubmatrix(true, relevantStates, relevantStates, false);
// Create GameViHelper for computations. // Create GameViHelper for computations.
storm::modelchecker::helper::internal::GameViHelper<ValueType> viHelper(submatrix, clippedStatesOfCoalition); storm::modelchecker::helper::internal::GameViHelper<ValueType> viHelper(submatrix, clippedStatesOfCoalition);
if (produceScheduler) { if (produceScheduler) {
viHelper.setProduceScheduler(true); viHelper.setProduceScheduler(true);
} }
// If the lowerBound = 0, value iteration is done until the upperBound.
if(lowerBound == 0) { if(lowerBound == 0) {
STORM_LOG_DEBUG("LOWER BOUND = 0 ...");
STORM_LOG_DEBUG("Just peform Value Iteration with an UPPER BOUND.");
viHelper.performValueIterationUpperBound(env, x, b, goal.direction(), upperBound, constrainedChoiceValues); viHelper.performValueIterationUpperBound(env, x, b, goal.direction(), upperBound, constrainedChoiceValues);
} else { } else {
STORM_LOG_DEBUG("LOWER BOUND != 0 ...");
// TODO: change the computation: first the diff, then till the lowerBound
STORM_LOG_DEBUG("first multiplication ...");
viHelper.performValueIterationUpperBound(env, x, b, goal.direction(), upperBound - lowerBound + 1, constrainedChoiceValues);
STORM_LOG_DEBUG("x = " << x);
STORM_LOG_DEBUG("b = " << b);
STORM_LOG_DEBUG("constrainedChoiceValues = " << constrainedChoiceValues);
STORM_LOG_DEBUG("Reduction for ~phiStates ...");
/* for(uint rowGroupIndex = 0; rowGroupIndex < submatrix.getRowGroupCount(); rowGroupIndex++) {
for(uint rowIndex = 0; rowIndex < submatrix.getRowGroupSize(rowGroupIndex); rowIndex++) {
if(!phiStates.get(rowGroupIndex)) {
constrainedChoiceValues.at(rowGroupIndex) = storm::utility::zero<ValueType>();
}
}
}*/
STORM_LOG_DEBUG("constrainedChoiceValues = " << constrainedChoiceValues);
//storm::storage::BitVector newRelevantStates(x.size(), false);
//storm::utility::vector::setNonzeroIndices(x, newRelevantStates);
//storm::utility::vector::setVectorValues(x, ~phiStates, storm::utility::zero<ValueType>());
STORM_LOG_DEBUG("reset x ...");
x = std::vector<ValueType>(x.size(), storm::utility::zero<ValueType>());
STORM_LOG_DEBUG("x = " << x);
STORM_LOG_DEBUG("second multiplication ...");
viHelper.performValueIterationUpperBound(env, x, constrainedChoiceValues, goal.direction(), lowerBound, constrainedChoiceValues);
STORM_LOG_DEBUG("x = " << x);
STORM_LOG_DEBUG("b = " << b);
STORM_LOG_DEBUG("constrainedChoiceValues = " << constrainedChoiceValues);
/*
viHelper.performValueIterationUpperBound(env, x, b, goal.direction(), upperBound - lowerBound + 1, constrainedChoiceValues);
// The lowerBound != 0, the first computation between the given bound steps is done.
viHelper.performValueIterationUpperBound(env, x, b, goal.direction(), upperBound - lowerBound, constrainedChoiceValues);
// Initialization of subResult, fill it with the result of the first computation and 1s for the psiStates in full range.
std::vector<ValueType> subResult = std::vector<ValueType>(transitionMatrix.getRowGroupCount(), storm::utility::zero<ValueType>());
storm::utility::vector::setVectorValues(subResult, relevantStates, x);
storm::utility::vector::setVectorValues(subResult, psiStates, storm::utility::one<ValueType>());
// The newPsiStates are those states which can reach the psiStates in the steps between the bounds - the !=0 values in subResult.
storm::storage::BitVector newPsiStates(subResult.size(), false);
storm::utility::vector::setNonzeroIndices(subResult, newPsiStates);
// The relevantStates for the second part of the computation are all states.
relevantStates = storm::storage::BitVector(phiStates.size(), true);
submatrix = transitionMatrix.getSubmatrix(true, relevantStates, relevantStates, false); submatrix = transitionMatrix.getSubmatrix(true, relevantStates, relevantStates, false);
// Update the viHelper for the (full-size) submatrix and statesOfCoalition.
viHelper.updateTransitionMatrix(submatrix); viHelper.updateTransitionMatrix(submatrix);
b = std::vector<ValueType>(b.size(), storm::utility::zero<ValueType>());
viHelper.performValueIterationUpperBound(env, x, b, goal.direction(), lowerBound - 1, constrainedChoiceValues);
*/
viHelper.updateStatesOfCoaltion(statesOfCoalition);
// Reset constrainedChoiceValues and b to 0-vector in the correct dimension.
constrainedChoiceValues = std::vector<ValueType>(transitionMatrix.getConstrainedRowGroupSumVector(relevantStates, newPsiStates).size(), storm::utility::zero<ValueType>());
b = std::vector<ValueType>(transitionMatrix.getConstrainedRowGroupSumVector(relevantStates, newPsiStates).size(), storm::utility::zero<ValueType>());
// The second computation is done between step 0 and the lowerBound
viHelper.performValueIterationUpperBound(env, subResult, b, goal.direction(), lowerBound, constrainedChoiceValues);
x = subResult;
} }
viHelper.fillChoiceValuesVector(constrainedChoiceValues, relevantStates, transitionMatrix.getRowGroupIndices()); viHelper.fillChoiceValuesVector(constrainedChoiceValues, relevantStates, transitionMatrix.getRowGroupIndices());
if (produceScheduler) { if (produceScheduler) {
@ -278,9 +241,8 @@ namespace storm {
} }
storm::utility::vector::setVectorValues(result, relevantStates, x); storm::utility::vector::setVectorValues(result, relevantStates, x);
} }
if(lowerBound == 0) {
storm::utility::vector::setVectorValues(result, psiStates, storm::utility::one<ValueType>());
}
storm::utility::vector::setVectorValues(result, psiStates, storm::utility::one<ValueType>());
STORM_LOG_DEBUG(result); STORM_LOG_DEBUG(result);
return SMGSparseModelCheckingHelperReturnType<ValueType>(std::move(result), std::move(relevantStates), std::move(scheduler), std::move(constrainedChoiceValues)); return SMGSparseModelCheckingHelperReturnType<ValueType>(std::move(result), std::move(relevantStates), std::move(scheduler), std::move(constrainedChoiceValues));
} }

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