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Some bugfixes.

Former-commit-id: 70dcc73e91
tempestpy_adaptions
dehnert 10 years ago
parent
commit
5bbd85c379
  1. 24
      src/modelchecker/AbstractModelChecker.cpp

24
src/modelchecker/AbstractModelChecker.cpp

@ -161,10 +161,10 @@ namespace storm {
if (stateFormula.hasOptimalityType()) {
result = this->computeProbabilities(stateFormula.getSubformula().asPathFormula(), qualitative, stateFormula.getOptimalityType());
} else if (stateFormula.hasBound()) {
if (stateFormula.getComparisonType() == storm::logic::ComparisonType::Less || storm::logic::ComparisonType::LessEqual) {
result = this->computeProbabilities(stateFormula.getSubformula().asPathFormula(), storm::logic::OptimalityType::Maximize);
if (stateFormula.getComparisonType() == storm::logic::ComparisonType::Less || stateFormula.getComparisonType() == storm::logic::ComparisonType::LessEqual) {
result = this->computeProbabilities(stateFormula.getSubformula().asPathFormula(), qualitative, storm::logic::OptimalityType::Maximize);
} else {
result = this->computeProbabilities(stateFormula.getSubformula().asPathFormula(), storm::logic::OptimalityType::Minimize);
result = this->computeProbabilities(stateFormula.getSubformula().asPathFormula(), qualitative, storm::logic::OptimalityType::Minimize);
}
} else {
result = this->computeProbabilities(stateFormula.getSubformula().asPathFormula(), qualitative);
@ -193,10 +193,10 @@ namespace storm {
if (stateFormula.hasOptimalityType()) {
result = this->computeRewards(stateFormula.getSubformula().asRewardPathFormula(), qualitative, stateFormula.getOptimalityType());
} else if (stateFormula.hasBound()) {
if (stateFormula.getComparisonType() == storm::logic::ComparisonType::Less || storm::logic::ComparisonType::LessEqual) {
result = this->computeRewards(stateFormula.getSubformula().asRewardPathFormula(), storm::logic::OptimalityType::Maximize);
if (stateFormula.getComparisonType() == storm::logic::ComparisonType::Less || stateFormula.getComparisonType() == storm::logic::ComparisonType::LessEqual) {
result = this->computeRewards(stateFormula.getSubformula().asRewardPathFormula(), qualitative, storm::logic::OptimalityType::Maximize);
} else {
result = this->computeRewards(stateFormula.getSubformula().asRewardPathFormula(), storm::logic::OptimalityType::Minimize);
result = this->computeRewards(stateFormula.getSubformula().asRewardPathFormula(), qualitative, storm::logic::OptimalityType::Minimize);
}
} else {
result = this->computeRewards(stateFormula.getSubformula().asRewardPathFormula(), qualitative);
@ -225,10 +225,10 @@ namespace storm {
if (stateFormula.hasOptimalityType()) {
result = this->computeExpectedTimes(stateFormula.getSubformula().asEventuallyFormula(), qualitative, stateFormula.getOptimalityType());
} else if (stateFormula.hasBound()) {
if (stateFormula.getComparisonType() == storm::logic::ComparisonType::Less || storm::logic::ComparisonType::LessEqual) {
result = this->computeExpectedTimes(stateFormula.getSubformula().asEventuallyFormula(), storm::logic::OptimalityType::Maximize);
if (stateFormula.getComparisonType() == storm::logic::ComparisonType::Less || stateFormula.getComparisonType() == storm::logic::ComparisonType::LessEqual) {
result = this->computeExpectedTimes(stateFormula.getSubformula().asEventuallyFormula(), qualitative, storm::logic::OptimalityType::Maximize);
} else {
result = this->computeExpectedTimes(stateFormula.getSubformula().asEventuallyFormula(), storm::logic::OptimalityType::Minimize);
result = this->computeExpectedTimes(stateFormula.getSubformula().asEventuallyFormula(), qualitative, storm::logic::OptimalityType::Minimize);
}
} else {
result = this->computeExpectedTimes(stateFormula.getSubformula().asEventuallyFormula(), qualitative);
@ -249,10 +249,10 @@ namespace storm {
if (stateFormula.hasOptimalityType()) {
result = this->computeLongRunAverage(stateFormula.getSubformula().asStateFormula(), false, stateFormula.getOptimalityType());
} else if (stateFormula.hasBound()) {
if (stateFormula.getComparisonType() == storm::logic::ComparisonType::Less || storm::logic::ComparisonType::LessEqual) {
result = this->computeLongRunAverage(stateFormula.getSubformula().asStateFormula(), storm::logic::OptimalityType::Maximize);
if (stateFormula.getComparisonType() == storm::logic::ComparisonType::Less || stateFormula.getComparisonType() == storm::logic::ComparisonType::LessEqual) {
result = this->computeLongRunAverage(stateFormula.getSubformula().asStateFormula(), false, storm::logic::OptimalityType::Maximize);
} else {
result = this->computeLongRunAverage(stateFormula.getSubformula().asStateFormula(), storm::logic::OptimalityType::Minimize);
result = this->computeLongRunAverage(stateFormula.getSubformula().asStateFormula(), false, storm::logic::OptimalityType::Minimize);
}
} else {
result = this->computeLongRunAverage(stateFormula.getSubformula().asStateFormula(), false);

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