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Removed some commented out code and make things compile again. 

Former-commit-id: eb6b51f128
tempestpy_adaptions
PBerger 8 years ago
parent
b8b9481461
commit
2799412a4d
1 changed files with 0 additions and 42 deletions
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  1. 42
      src/modelchecker/abstraction/GameBasedMdpModelChecker.cpp

42
src/modelchecker/abstraction/GameBasedMdpModelChecker.cpp
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@ -595,48 +595,6 @@ namespace storm {
// If we arrived at this point, it means that we have all qualitative and quantitative information
// about the game, but we could not yet answer the query. In this case, we need to refine.
// Redirect all player 1 choices of the min strategy to that of the max strategy if this leads to a player 2 state that has the same prob.
// Get all relevant strategies.
/*storm::dd::Add<Type, ValueType> matrix = game.getTransitionMatrix();
storm::dd::Add<Type, ValueType> minResultTmp = minResult.swapVariables(game.getRowColumnMetaVariablePairs());
storm::dd::Add<Type, ValueType> minValuesForPlayer1UnderMinP1Strategy = (matrix * minMaybeStateResult.player1Strategy.template toAdd<ValueType>() * minMaybeStateResult.player2Strategy.template toAdd<ValueType>() * minResultTmp).sumAbstract(game.getColumnVariables()).sumAbstract(game.getPlayer2Variables()).sumAbstract(game.getPlayer1Variables());
storm::dd::Add<Type, ValueType> minValuesForPlayer1UnderMaxP1P2Strategy = (matrix * maxMaybeStateResult.player1Strategy.template toAdd<ValueType>() * maxMaybeStateResult.player2Strategy.template toAdd<ValueType>() * minResultTmp).sumAbstract(game.getColumnVariables()).sumAbstract(game.getPlayer2Variables()).sumAbstract(game.getPlayer1Variables());
storm::dd::Add<Type, ValueType> minValuesForPlayer1UnderMaxP1Strategy = (matrix * maxMaybeStateResult.player1Strategy.template toAdd<ValueType>() * minMaybeStateResult.player2Strategy.template toAdd<ValueType>() * minResultTmp).sumAbstract(game.getColumnVariables()).sumAbstract(game.getPlayer2Variables()).sumAbstract(game.getPlayer1Variables());
minValuesForPlayer1UnderMinP1Strategy = prob01.min.first.getPlayer1States().ite(game.getManager().template getAddZero<ValueType>(), prob01.min.second.getPlayer1States().ite(game.getManager().template getAddOne<ValueType>(), minValuesForPlayer1UnderMinP1Strategy));
minValuesForPlayer1UnderMaxP1Strategy = prob01.min.first.getPlayer1States().ite(game.getManager().template getAddZero<ValueType>(), prob01.min.second.getPlayer1States().ite(game.getManager().template getAddOne<ValueType>(), minValuesForPlayer1UnderMaxP1Strategy));
// This BDD has a 1 for every state (s) that can switch the strategy.
storm::dd::Bdd<Type> minIsGreaterOrEqual = minValuesForPlayer1UnderMinP1Strategy.greaterOrEqual(minValuesForPlayer1UnderMaxP1Strategy);
minMaybeStateResult.player1Strategy = minIsGreaterOrEqual.ite(maxMaybeStateResult.player1Strategy, minMaybeStateResult.player1Strategy);*/
// 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.");

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