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more refactoring

tempestpy_adaptions
dehnert 8 years ago
parent
04d269d563
commit
d1cd11121a
1 changed files with 6 additions and 5 deletions
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  1. 11
      src/storm/modelchecker/abstraction/GameBasedMdpModelChecker.cpp

11
src/storm/modelchecker/abstraction/GameBasedMdpModelChecker.cpp
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@ -429,6 +429,7 @@ namespace storm {
// (2) Prepare transition matrix BDD and target state BDD for later use.
storm::dd::Bdd<Type> transitionMatrixBdd = game.getTransitionMatrix().toBdd();
storm::dd::Bdd<Type> initialStates = game.getInitialStates();
storm::dd::Bdd<Type> constraintStates = game.getStates(constraintExpression);
storm::dd::Bdd<Type> targetStates = game.getStates(targetStateExpression);
if (player1Direction == storm::OptimizationDirection::Minimize) {
@ -442,7 +443,7 @@ namespace storm {
// (3) compute all states with probability 0/1 wrt. to the two different player 2 goals (min/max).
auto qualitativeStart = std::chrono::high_resolution_clock::now();
detail::GameProb01ResultMinMax<Type> qualitativeResult;
std::unique_ptr<CheckResult> result = computeProb01States(checkTask, qualitativeResult, game, player1Direction, transitionMatrixBdd, game.getInitialStates(), constraintStates, targetStates);
std::unique_ptr<CheckResult> result = computeProb01States(checkTask, qualitativeResult, game, player1Direction, transitionMatrixBdd, initialStates, constraintStates, targetStates);
if (result) {
return result;
}
@ -454,13 +455,13 @@ namespace storm {
storm::dd::Bdd<Type> maybeMax = !(qualitativeResult.prob0Max.getPlayer1States() || qualitativeResult.prob1Max.getPlayer1States()) && game.getReachableStates();
// (5) if the initial states are not maybe states, then we can refine at this point.
storm::dd::Bdd<Type> initialMaybeStates = (game.getInitialStates() && maybeMin) || (game.getInitialStates() && maybeMax);
storm::dd::Bdd<Type> initialMaybeStates = (initialStates && maybeMin) || (initialStates && maybeMax);
bool qualitativeRefinement = false;
if (initialMaybeStates.isZero()) {
// In this case, we know the result for the initial states for both player 2 minimizing and maximizing.
STORM_LOG_TRACE("No initial state is a 'maybe' state. Refining abstraction based on qualitative check.");
result = checkForResultAfterQualitativeCheck<Type, ValueType>(checkTask, game.getInitialStates(), qualitativeResult);
result = checkForResultAfterQualitativeCheck<Type, ValueType>(checkTask, initialStates, qualitativeResult);
if (result) {
return result;
} else {
@ -480,7 +481,7 @@ namespace storm {
// Prepare some storage that we use on-demand during the quantitative solving step.
storm::dd::Add<Type, ValueType> minResult = qualitativeResult.prob1Min.getPlayer1States().template toAdd<ValueType>();
storm::dd::Add<Type, ValueType> maxResult = qualitativeResult.prob1Max.getPlayer1States().template toAdd<ValueType>();
storm::dd::Add<Type, ValueType> initialStatesAdd = game.getInitialStates().template toAdd<ValueType>();
storm::dd::Add<Type, ValueType> initialStatesAdd = initialStates.template toAdd<ValueType>();
storm::dd::Bdd<Type> combinedMinPlayer1QualitativeStrategies = (qualitativeResult.prob0Min.getPlayer1Strategy() || qualitativeResult.prob1Min.getPlayer1Strategy());
storm::dd::Bdd<Type> combinedMinPlayer2QualitativeStrategies = (qualitativeResult.prob0Min.getPlayer2Strategy() || qualitativeResult.prob1Min.getPlayer2Strategy());
@ -562,7 +563,7 @@ namespace storm {
// Check whether the strategies coincide over the reachable parts.
storm::dd::Bdd<Type> tmp = game.getTransitionMatrix().toBdd() && (minMaybeStateResult.player1Strategy || maxMaybeStateResult.player1Strategy) && (minMaybeStateResult.player2Strategy || maxMaybeStateResult.player2Strategy);
storm::dd::Bdd<Type> commonReach = storm::utility::dd::computeReachableStates(game.getInitialStates(), tmp.existsAbstract(game.getNondeterminismVariables()), game.getRowVariables(), game.getColumnVariables());
storm::dd::Bdd<Type> commonReach = storm::utility::dd::computeReachableStates(initialStates, tmp.existsAbstract(game.getNondeterminismVariables()), game.getRowVariables(), game.getColumnVariables());
STORM_LOG_ASSERT((commonReach && minMaybeStateResult.player1Strategy) != (commonReach && maxMaybeStateResult.player1Strategy) || (commonReach && minMaybeStateResult.player2Strategy) != (commonReach && maxMaybeStateResult.player2Strategy), "The strategies fully coincide.");
refineAfterQuantitativeCheck(abstractor, game, minResult, maxResult, qualitativeResult, std::make_pair(minMaybeStateResult.player1Strategy, minMaybeStateResult.player2Strategy), std::make_pair(maxMaybeStateResult.player1Strategy, maxMaybeStateResult.player2Strategy), transitionMatrixBdd);

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