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commit to switch workplace, debugging in progress 

Former-commit-id: 9ab5d903e9
main
dehnert 9 years ago
parent
673c329311
commit
059f55eefc
4 changed files with 47 additions and 9 deletions
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  1. 2
      src/abstraction/AbstractionInformation.cpp
  2. 38
      src/modelchecker/abstraction/GameBasedMdpModelChecker.cpp
  3. 10
      src/solver/SymbolicGameSolver.cpp
  4. 6
      src/utility/graph.cpp

2
src/abstraction/AbstractionInformation.cpp
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@ -283,7 +283,7 @@ namespace storm {
std::map<storm::expressions::Expression, storm::dd::Bdd<DdType>> result;
for (uint_fast64_t index = 0; index < predicates.size(); ++index) {
result[predicates[index]] = predicateBdds[index].first;
result[predicates[index]] = predicateBdds[index].first && !bottomStateBdds.first;
}
return result;

38
src/modelchecker/abstraction/GameBasedMdpModelChecker.cpp
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@ -335,7 +335,7 @@ namespace storm {
//
// minResult.exportToDot("minresult.dot");
// maxResult.exportToDot("maxresult.dot");
// pivotState.template toAdd<ValueType>().exportToDot("pivot.dot");
pivotState.template toAdd<ValueType>().exportToDot("pivot.dot");
// pivotStateLower.exportToDot("pivot_lower.dot");
// pivotStateUpper.exportToDot("pivot_upper.dot");
// pivotStateIsMinProb0.template toAdd<ValueType>().exportToDot("pivot_is_minprob0.dot");
@ -361,9 +361,9 @@ namespace storm {
// lowerChoice2.template toAdd<ValueType>().exportToDot("tmp_lower.dot");
// lowerChoice2 = lowerChoice2.existsAbstract(variablesToAbstract);
// lowerChoice.template toAdd<ValueType>().exportToDot("ref_lower.dot");
// lowerChoice1.template toAdd<ValueType>().exportToDot("ref_lower1.dot");
// lowerChoice2.template toAdd<ValueType>().exportToDot("ref_lower2.dot");
lowerChoice.template toAdd<ValueType>().exportToDot("ref_lower.dot");
lowerChoice1.template toAdd<ValueType>().exportToDot("ref_lower1.dot");
lowerChoice2.template toAdd<ValueType>().exportToDot("ref_lower2.dot");
bool lowerChoicesDifferent = !lowerChoice1.exclusiveOr(lowerChoice2).isZero();
if (lowerChoicesDifferent) {
@ -478,6 +478,9 @@ namespace storm {
if (result) {
return result;
}
if (iterations == 18) {
exit(-1);
}
prob01.max = computeProb01States(player1Direction, storm::OptimizationDirection::Maximize, game, transitionMatrixBdd, game.getStates(constraintExpression), targetStates);
result = checkForResultAfterQualitativeCheck<Type, ValueType>(checkTask, storm::OptimizationDirection::Maximize, game.getInitialStates(), prob01.max.first.getPlayer1States(), prob01.max.second.getPlayer1States());
if (result) {
@ -529,8 +532,6 @@ namespace storm {
minMaybeStateResult = solveMaybeStates(player1Direction, storm::OptimizationDirection::Minimize, game, maybeMin, prob01.min.second.getPlayer1States());
minResult += minMaybeStateResult.values;
storm::dd::Add<Type, ValueType> initialStateMin = initialStatesAdd * minResult;
initialStatesAdd.exportToDot("init.dot");
initialStateMin.exportToDot("initmin.dot");
// Here we can only require a non-zero count of *at most* one, because the result may actually be 0.
STORM_LOG_ASSERT(initialStateMin.getNonZeroCount() <= 1, "Wrong number of results for initial states. Expected <= 1, but got " << initialStateMin.getNonZeroCount() << ".");
minValue = initialStateMin.getMax();
@ -576,10 +577,35 @@ namespace storm {
// Start by extending the quantitative strategies by the qualitative ones.
minMaybeStateResult.player1Strategy |= prob01.min.first.getPlayer1Strategy() || prob01.min.second.getPlayer1Strategy();
storm::dd::Bdd<Type> tmp = (prob01.min.first.getPlayer2Strategy().existsAbstract(game.getPlayer2Variables()) && prob01.min.second.getPlayer2Strategy().existsAbstract(game.getPlayer2Variables()));
STORM_LOG_ASSERT(tmp.isZero(), "wth?");
tmp = prob01.min.first.getPlayer2Strategy().existsAbstract(game.getPlayer2Variables()) && minMaybeStateResult.player2Strategy.existsAbstract(game.getPlayer2Variables());
if (!tmp.isZero()) {
tmp = tmp && prob01.min.first.getPlayer2Strategy().exclusiveOr(minMaybeStateResult.player2Strategy).existsAbstract(game.getPlayer2Variables());
(tmp && prob01.min.first.getPlayer2Strategy()).template toAdd<ValueType>().exportToDot("prob0_strat.dot");
(tmp && minMaybeStateResult.player2Strategy).template toAdd<ValueType>().exportToDot("maybe_strat.dot");
if (!tmp.isZero()) {
storm::dd::Add<Type, ValueType> values = (tmp.template toAdd<ValueType>() * game.getTransitionMatrix() * minResult.swapVariables(game.getRowColumnMetaVariablePairs())).sumAbstract(game.getColumnVariables());
tmp.template toAdd<ValueType>().exportToDot("illegal.dot");
minResult.exportToDot("vals.dot");
}
STORM_LOG_ASSERT(tmp.isZero(), "ddduuuudde?");
}
STORM_LOG_ASSERT(tmp.isZero(), "wth2?");
tmp = prob01.min.second.getPlayer2Strategy().existsAbstract(game.getPlayer2Variables()) && minMaybeStateResult.player2Strategy;
(minMaybeStateResult.player2Strategy && (prob01.min.first.getPlayer2Strategy() || prob01.min.second.getPlayer2Strategy())).template toAdd<ValueType>().exportToDot("strat_overlap.dot");
minMaybeStateResult.player2Strategy |= prob01.min.first.getPlayer2Strategy() || prob01.min.second.getPlayer2Strategy();
maxMaybeStateResult.player1Strategy |= prob01.max.first.getPlayer1Strategy() || prob01.max.second.getPlayer1Strategy();
maxMaybeStateResult.player2Strategy |= prob01.max.first.getPlayer2Strategy() || prob01.max.second.getPlayer2Strategy();
// Make sure that all strategies are still valid strategies.
STORM_LOG_ASSERT(minMaybeStateResult.player1Strategy.template toAdd<ValueType>().sumAbstract(game.getPlayer1Variables()).getMax() <= 1, "Player 1 strategy for min is illegal.");
STORM_LOG_ASSERT(maxMaybeStateResult.player1Strategy.template toAdd<ValueType>().sumAbstract(game.getPlayer1Variables()).getMax() <= 1, "Player 1 strategy for max is illegal.");
STORM_LOG_ASSERT(minMaybeStateResult.player2Strategy.template toAdd<ValueType>().sumAbstract(game.getPlayer2Variables()).getMax() <= 1, "Player 2 strategy for min is illegal.");
STORM_LOG_ASSERT(maxMaybeStateResult.player2Strategy.template toAdd<ValueType>().sumAbstract(game.getPlayer2Variables()).getMax() <= 1, "Player 2 strategy for max is illegal.");
refineAfterQuantitativeCheck(abstractor, game, minResult, maxResult, prob01, std::make_pair(minMaybeStateResult.player1Strategy, minMaybeStateResult.player2Strategy), std::make_pair(maxMaybeStateResult.player1Strategy, maxMaybeStateResult.player2Strategy), transitionMatrixBdd);
}
}

10
src/solver/SymbolicGameSolver.cpp
View File

@ -53,12 +53,15 @@ namespace storm {
}
}
this->A.exportToDot("matrix.dot");
do {
// Compute tmp = A * x + b.
storm::dd::Add<Type, ValueType> xCopyAsColumn = xCopy.swapVariables(this->rowColumnMetaVariablePairs);
storm::dd::Add<Type, ValueType> tmp = this->A.multiplyMatrix(xCopyAsColumn, this->columnMetaVariables);
tmp += b;
tmp.exportToDot("tmp_pre_" + std::to_string(iterations) + ".dot");
// Now abstract from player 2 and player 1 variables.
if (player2Goal == storm::OptimizationDirection::Maximize) {
storm::dd::Add<Type, ValueType> newValues = tmp.maxAbstract(this->player2Variables);
@ -74,9 +77,11 @@ namespace storm {
} else {
tmp = (tmp + illegalPlayer2Mask);
storm::dd::Add<Type, ValueType> newValues = tmp.minAbstract(this->player2Variables);
newValues.exportToDot("vals_iter_" + std::to_string(iterations) + ".dot");
if (generatePlayer2Strategy) {
player2Strategy = tmp.minAbstractRepresentative(this->player2Variables);
player2Strategy.get().template toAdd<ValueType>().exportToDot("pl2_strat_iter_" + std::to_string(iterations) + ".dot");
}
tmp = newValues;
@ -103,6 +108,8 @@ namespace storm {
tmp = newValues;
}
tmp.exportToDot("pl1_vals_iter_" + std::to_string(iterations) + ".dot");
// Now check if the process already converged within our precision.
converged = xCopy.equalModuloPrecision(tmp, precision, relative);
@ -113,6 +120,7 @@ namespace storm {
++iterations;
} while (!converged && iterations < maximalNumberOfIterations);
STORM_LOG_TRACE("Numerically solving the game took " << iterations << " iterations.");
return xCopy;
}

6
src/utility/graph.cpp
View File

@ -929,7 +929,7 @@ namespace storm {
// The solution sets.
storm::dd::Bdd<Type> player1States = psiStates;
storm::dd::Bdd<Type> player2States = model.getManager().getBddZero();
bool done = false;
uint_fast64_t iterations = 0;
while (!done) {
@ -960,14 +960,18 @@ namespace storm {
}
// Since we have determined the complements of the desired sets, we need to complement it now.
player1States.template toAdd<ValueType>().exportToDot("not_pl1_prob0.dot");
(!player1States).template toAdd<ValueType>().exportToDot("pl1_negated_prob0.dot");
player1States = !player1States && model.getReachableStates();
player2States = !player2States && model.getReachableStates();
// Determine all transitions between prob0 states.
storm::dd::Bdd<Type> transitionsBetweenProb0States = player2States && (transitionMatrix && player1States.swapVariables(model.getRowColumnMetaVariablePairs()));
player1States.template toAdd<ValueType>().exportToDot("pl1_prob0.dot");
// Determine the distributions that have only successors that are prob0 states.
storm::dd::Bdd<Type> onlyProb0Successors = (transitionsBetweenProb0States || model.getIllegalSuccessorMask()).universalAbstract(model.getColumnVariables());
onlyProb0Successors.template toAdd<ValueType>().exportToDot("only_prob0.dot");
boost::optional<storm::dd::Bdd<Type>> player2StrategyBdd;
if (producePlayer2Strategy) {

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