Browse Source

fixed some model building issues

tempestpy_adaptions
dehnert 8 years ago
parent
commit
77bd6e4a44
  1. 2
      CMakeLists.txt
  2. 2
      resources/3rdparty/CMakeLists.txt
  3. 7
      resources/3rdparty/include_cudd.cmake
  4. 7
      resources/3rdparty/sylvan/CMakeLists.txt
  5. 38
      src/storm/builder/DdPrismModelBuilder.cpp
  6. 6
      src/storm/builder/DdPrismModelBuilder.h
  7. 4
      src/storm/generator/PrismNextStateGenerator.cpp
  8. 2
      src/storm/modelchecker/csl/helper/HybridCtmcCslHelper.cpp
  9. 4
      src/storm/parser/FormulaParser.cpp
  10. 12
      src/test/modelchecker/SymbolicDtmcPrctlModelCheckerTest.cpp
  11. 20
      src/test/modelchecker/SymbolicMdpPrctlModelCheckerTest.cpp

2
CMakeLists.txt

@ -23,7 +23,7 @@ include(imported)
#############################################################
option(STORM_DEVELOPER "Sets whether the development mode is used." OFF)
option(STORM_ALLWARNINGS "Compile with even more warnings" OFF)
option(STORM_PORTABLE_RELEASE "Sets whether a release build needs to be portable to another machine. This is only effective for release builds in non-development mode." OFF)
option(STORM_PORTABLE_RELEASE "Sets whether a release build needs to be portable to another machine." OFF)
MARK_AS_ADVANCED(STORM_PORTABLE_RELEASE)
option(STORM_USE_POPCNT "Sets whether the popcnt instruction is going to be used." ON)
MARK_AS_ADVANCED(STORM_USE_POPCNT)

2
resources/3rdparty/CMakeLists.txt

@ -351,7 +351,7 @@ ExternalProject_Add(
DOWNLOAD_COMMAND ""
PREFIX "sylvan"
SOURCE_DIR ${STORM_3RDPARTY_SOURCE_DIR}/sylvan
CMAKE_ARGS -DCMAKE_C_COMPILER=${CMAKE_C_COMPILER} -DSYLVAN_BUILD_TEST=Off -DSYLVAN_BUILD_EXAMPLES=Off -DCMAKE_BUILD_TYPE=Release -DCMAKE_POSITION_INDEPENDENT_CODE=ON -DUSE_CARL=ON -Dcarl_INCLUDE_DIR=${carl_INCLUDE_DIR} -Dcarl_LIBRARIES=${carl_LIBRARIES}
CMAKE_ARGS -DCMAKE_C_COMPILER=${CMAKE_C_COMPILER} -DSYLVAN_BUILD_TEST=Off -DSYLVAN_BUILD_EXAMPLES=Off -DCMAKE_BUILD_TYPE=Release -DCMAKE_POSITION_INDEPENDENT_CODE=ON -DUSE_CARL=ON -Dcarl_INCLUDE_DIR=${carl_INCLUDE_DIR} -DSYLVAN_PORTABLE=${STORM_PORTABLE_RELEASE} -Dcarl_LIBRARIES=${carl_LIBRARIES}
BINARY_DIR ${STORM_3RDPARTY_BINARY_DIR}/sylvan
BUILD_IN_SOURCE 0
INSTALL_COMMAND ""

7
resources/3rdparty/include_cudd.cmake

@ -16,6 +16,11 @@ endif()
set(CUDD_LIB_DIR ${STORM_3RDPARTY_BINARY_DIR}/cudd-3.0.0/lib)
set(STORM_CUDD_FLAGS "CFLAGS=-O3 -w -DPIC -DHAVE_IEEE_754 -fno-common -ffast-math -fno-finite-math-only")
if (NOT STORM_PORTABLE_RELEASE)
set(STORM_CUDD_FLAGS "${STORM_CUDD_FLAGS} -march=native")
endif()
ExternalProject_Add(
cudd3
DOWNLOAD_COMMAND ""
@ -23,7 +28,7 @@ ExternalProject_Add(
PREFIX ${STORM_3RDPARTY_BINARY_DIR}/cudd-3.0.0
PATCH_COMMAND ${AUTORECONF}
CONFIGURE_COMMAND ${STORM_3RDPARTY_SOURCE_DIR}/cudd-3.0.0/configure --enable-shared --enable-obj --with-pic=yes --prefix=${STORM_3RDPARTY_BINARY_DIR}/cudd-3.0.0 --libdir=${CUDD_LIB_DIR} CC=${CMAKE_C_COMPILER} CXX=${CMAKE_CXX_COMPILER}
BUILD_COMMAND make "CFLAGS=-O3 -w"
BUILD_COMMAND make ${STORM_CUDD_FLAGS}
INSTALL_COMMAND make install
BUILD_IN_SOURCE 0
LOG_CONFIGURE ON

7
resources/3rdparty/sylvan/CMakeLists.txt

@ -2,9 +2,16 @@ cmake_minimum_required(VERSION 2.6)
project(sylvan C CXX)
enable_testing()
option(SYLVAN_PORTABLE "If set, the created library will be portable." OFF)
set(CMAKE_C_FLAGS "-O3 -Wextra -Wall -fno-strict-aliasing -std=gnu11 -fPIC")
set(CMAKE_CXX_FLAGS "-O3 -Wextra -Wall -fno-strict-aliasing -Wno-deprecated-register -std=gnu++11 -fPIC")
if (NOT SYLVAN_PORTABLE)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -march=native")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -march=native")
endif()
option(USE_CARL "Sets whether carl should be included." ON)
option(WITH_COVERAGE "Add generation of test coverage" OFF)
if(WITH_COVERAGE)

38
src/storm/builder/DdPrismModelBuilder.cpp

@ -618,14 +618,14 @@ namespace storm {
template <storm::dd::DdType Type, typename ValueType>
typename DdPrismModelBuilder<Type, ValueType>::ActionDecisionDiagram DdPrismModelBuilder<Type, ValueType>::createCommandDecisionDiagram(GenerationInformation& generationInfo, storm::prism::Module const& module, storm::prism::Command const& command) {
STORM_LOG_TRACE("Translating guard " << command.getGuardExpression());
storm::dd::Add<Type, ValueType> guard = generationInfo.rowExpressionAdapter->translateExpression(command.getGuardExpression()) * generationInfo.moduleToRangeMap[module.getName()];
storm::dd::Bdd<Type> guard = generationInfo.rowExpressionAdapter->translateBooleanExpression(command.getGuardExpression()) && generationInfo.moduleToRangeMap[module.getName()].notZero();
STORM_LOG_WARN_COND(!guard.isZero(), "The guard '" << command.getGuardExpression() << "' is unsatisfiable.");
if (!guard.isZero()) {
// Create the DDs representing the individual updates.
std::vector<UpdateDecisionDiagram> updateResults;
for (storm::prism::Update const& update : command.getUpdates()) {
updateResults.push_back(createUpdateDecisionDiagram(generationInfo, module, guard, update));
updateResults.push_back(createUpdateDecisionDiagram(generationInfo, module, guard.template toAdd<ValueType>(), update));
STORM_LOG_WARN_COND(!updateResults.back().updateDd.isZero(), "Update '" << update << "' does not have any effect.");
}
@ -661,7 +661,7 @@ namespace storm {
commandDd += updateResultsIt->updateDd * probabilityDd;
}
return ActionDecisionDiagram(guard, guard * commandDd, globalVariablesInSomeUpdate);
return ActionDecisionDiagram(guard, guard.template toAdd<ValueType>() * commandDd, globalVariablesInSomeUpdate);
} else {
return ActionDecisionDiagram(*generationInfo.manager);
}
@ -749,9 +749,9 @@ namespace storm {
template <storm::dd::DdType Type, typename ValueType>
typename DdPrismModelBuilder<Type, ValueType>::ActionDecisionDiagram DdPrismModelBuilder<Type, ValueType>::combineCommandsToActionMarkovChain(GenerationInformation& generationInfo, std::vector<ActionDecisionDiagram>& commandDds) {
storm::dd::Add<Type, ValueType> allGuards = generationInfo.manager->template getAddZero<ValueType>();
storm::dd::Bdd<Type> allGuards = generationInfo.manager->getBddZero();
storm::dd::Add<Type, ValueType> allCommands = generationInfo.manager->template getAddZero<ValueType>();
storm::dd::Add<Type, ValueType> temporary;
storm::dd::Bdd<Type> temporary;
// Make all command DDs assign to the same global variables.
std::set<storm::expressions::Variable> assignedGlobalVariables = equalizeAssignedGlobalVariables(generationInfo, commandDds);
@ -759,12 +759,12 @@ namespace storm {
// Then combine the commands to the full action DD and multiply missing identities along the way.
for (auto& commandDd : commandDds) {
// Check for overlapping guards.
temporary = commandDd.guardDd * allGuards;
temporary = commandDd.guardDd && allGuards;
// Issue a warning if there are overlapping guards in a non-CTMC model.
STORM_LOG_WARN_COND(temporary.isZero() || generationInfo.program.getModelType() == storm::prism::Program::ModelType::CTMC, "Guard of a command overlaps with previous guards.");
allGuards += commandDd.guardDd;
allGuards |= commandDd.guardDd;
allCommands += commandDd.transitionsDd;
}
@ -801,8 +801,8 @@ namespace storm {
// Sum all guards, so we can read off the maximal number of nondeterministic choices in any given state.
storm::dd::Add<Type, ValueType> sumOfGuards = generationInfo.manager->template getAddZero<ValueType>();
for (auto const& commandDd : commandDds) {
sumOfGuards += commandDd.guardDd;
allGuards |= commandDd.guardDd.toBdd();
sumOfGuards += commandDd.guardDd.template toAdd<ValueType>();
allGuards |= commandDd.guardDd;
}
uint_fast64_t maxChoices = static_cast<uint_fast64_t>(sumOfGuards.getMax());
@ -816,7 +816,7 @@ namespace storm {
for (auto const& commandDd : commandDds) {
allCommands += commandDd.transitionsDd;
}
return ActionDecisionDiagram(sumOfGuards, allCommands, assignedGlobalVariables);
return ActionDecisionDiagram(allGuards, allCommands, assignedGlobalVariables);
} else {
// Calculate number of required variables to encode the nondeterminism.
uint_fast64_t numberOfBinaryVariables = static_cast<uint_fast64_t>(std::ceil(storm::utility::math::log2(maxChoices)));
@ -843,7 +843,7 @@ namespace storm {
for (std::size_t j = 0; j < commandDds.size(); ++j) {
// Check if command guard overlaps with equalsNumberOfChoicesDd. That is, there are states with exactly currentChoices
// choices such that one outgoing choice is given by the j-th command.
storm::dd::Bdd<Type> guardChoicesIntersection = commandDds[j].guardDd.toBdd() && equalsNumberOfChoicesDd;
storm::dd::Bdd<Type> guardChoicesIntersection = commandDds[j].guardDd && equalsNumberOfChoicesDd;
// If there is no such state, continue with the next command.
if (guardChoicesIntersection.isZero()) {
@ -883,7 +883,7 @@ namespace storm {
sumOfGuards = sumOfGuards * (!equalsNumberOfChoicesDd).template toAdd<ValueType>();
}
return ActionDecisionDiagram(allGuards.template toAdd<ValueType>(), allCommands, assignedGlobalVariables, nondeterminismVariableOffset + numberOfBinaryVariables);
return ActionDecisionDiagram(allGuards, allCommands, assignedGlobalVariables, nondeterminismVariableOffset + numberOfBinaryVariables);
}
}
@ -891,7 +891,7 @@ namespace storm {
typename DdPrismModelBuilder<Type, ValueType>::ActionDecisionDiagram DdPrismModelBuilder<Type, ValueType>::combineSynchronizingActions(ActionDecisionDiagram const& action1, ActionDecisionDiagram const& action2) {
std::set<storm::expressions::Variable> assignedGlobalVariables;
std::set_union(action1.assignedGlobalVariables.begin(), action1.assignedGlobalVariables.end(), action2.assignedGlobalVariables.begin(), action2.assignedGlobalVariables.end(), std::inserter(assignedGlobalVariables, assignedGlobalVariables.begin()));
return ActionDecisionDiagram(action1.guardDd * action2.guardDd, action1.transitionsDd * action2.transitionsDd, assignedGlobalVariables, std::max(action1.numberOfUsedNondeterminismVariables, action2.numberOfUsedNondeterminismVariables));
return ActionDecisionDiagram(action1.guardDd && action2.guardDd, action1.transitionsDd * action2.transitionsDd, assignedGlobalVariables, std::max(action1.numberOfUsedNondeterminismVariables, action2.numberOfUsedNondeterminismVariables));
}
template <storm::dd::DdType Type, typename ValueType>
@ -914,7 +914,7 @@ namespace storm {
std::set<storm::expressions::Variable> assignedGlobalVariables = equalizeAssignedGlobalVariables(generationInfo, action1, action2);
if (generationInfo.program.getModelType() == storm::prism::Program::ModelType::DTMC || generationInfo.program.getModelType() == storm::prism::Program::ModelType::CTMC) {
return ActionDecisionDiagram(action1.guardDd + action2.guardDd, action1.transitionsDd + action2.transitionsDd, assignedGlobalVariables, 0);
return ActionDecisionDiagram(action1.guardDd || action2.guardDd, action1.transitionsDd + action2.transitionsDd, assignedGlobalVariables, 0);
} else if (generationInfo.program.getModelType() == storm::prism::Program::ModelType::MDP) {
if (action1.transitionsDd.isZero()) {
return ActionDecisionDiagram(action2.guardDd, action2.transitionsDd, assignedGlobalVariables, action2.numberOfUsedNondeterminismVariables);
@ -943,7 +943,7 @@ namespace storm {
// Add a new variable that resolves the nondeterminism between the two choices.
storm::dd::Add<Type, ValueType> combinedTransitions = generationInfo.manager->getEncoding(generationInfo.nondeterminismMetaVariables[numberOfUsedNondeterminismVariables], 1).ite(action2.transitionsDd, action1.transitionsDd);
return ActionDecisionDiagram((action1.guardDd.toBdd() || action2.guardDd.toBdd()).template toAdd<ValueType>(), combinedTransitions, assignedGlobalVariables, numberOfUsedNondeterminismVariables + 1);
return ActionDecisionDiagram(action1.guardDd || action2.guardDd, combinedTransitions, assignedGlobalVariables, numberOfUsedNondeterminismVariables + 1);
} else {
STORM_LOG_THROW(false, storm::exceptions::InvalidStateException, "Illegal model type.");
}
@ -1149,12 +1149,11 @@ namespace storm {
synchronization = getSynchronizationDecisionDiagram(generationInfo, stateActionReward.getActionIndex());
}
ActionDecisionDiagram const& actionDd = stateActionReward.isLabeled() ? globalModule.synchronizingActionToDecisionDiagramMap.at(stateActionReward.getActionIndex()) : globalModule.independentAction;
states *= actionDd.guardDd * reachableStatesAdd;
states *= actionDd.guardDd.template toAdd<ValueType>() * reachableStatesAdd;
storm::dd::Add<Type, ValueType> stateActionRewardDd = synchronization * states * rewards;
// If we are building the state-action rewards for an MDP, we need to make sure that the encoding
// of the nondeterminism is present in the reward vector, so we ne need to multiply it with the
// legal state-actions.
// If we are building the state-action rewards for an MDP, we need to make sure that the reward is
// only given on legal nondeterminism encodings, which is why we multiply with the state-action DD.
if (generationInfo.program.getModelType() == storm::prism::Program::ModelType::MDP) {
if (!stateActionDd) {
stateActionDd = transitionMatrix.notZero().existsAbstract(generationInfo.columnMetaVariables).template toAdd<ValueType>();
@ -1178,6 +1177,7 @@ namespace storm {
if (!stateActionDd) {
stateActionDd = transitionMatrix.sumAbstract(generationInfo.columnMetaVariables);
}
stateActionRewards.get() /= stateActionDd.get();
}
}

6
src/storm/builder/DdPrismModelBuilder.h

@ -122,11 +122,11 @@ namespace storm {
// Intentionally left empty.
}
ActionDecisionDiagram(storm::dd::DdManager<Type> const& manager, std::set<storm::expressions::Variable> const& assignedGlobalVariables = std::set<storm::expressions::Variable>(), uint_fast64_t numberOfUsedNondeterminismVariables = 0) : guardDd(manager.template getAddZero<ValueType>()), transitionsDd(manager.template getAddZero<ValueType>()), numberOfUsedNondeterminismVariables(numberOfUsedNondeterminismVariables), assignedGlobalVariables(assignedGlobalVariables) {
ActionDecisionDiagram(storm::dd::DdManager<Type> const& manager, std::set<storm::expressions::Variable> const& assignedGlobalVariables = std::set<storm::expressions::Variable>(), uint_fast64_t numberOfUsedNondeterminismVariables = 0) : guardDd(manager.getBddZero()), transitionsDd(manager.template getAddZero<ValueType>()), numberOfUsedNondeterminismVariables(numberOfUsedNondeterminismVariables), assignedGlobalVariables(assignedGlobalVariables) {
// Intentionally left empty.
}
ActionDecisionDiagram(storm::dd::Add<Type, ValueType> guardDd, storm::dd::Add<Type, ValueType> transitionsDd, std::set<storm::expressions::Variable> const& assignedGlobalVariables = std::set<storm::expressions::Variable>(), uint_fast64_t numberOfUsedNondeterminismVariables = 0) : guardDd(guardDd), transitionsDd(transitionsDd), numberOfUsedNondeterminismVariables(numberOfUsedNondeterminismVariables), assignedGlobalVariables(assignedGlobalVariables) {
ActionDecisionDiagram(storm::dd::Bdd<Type> guardDd, storm::dd::Add<Type, ValueType> transitionsDd, std::set<storm::expressions::Variable> const& assignedGlobalVariables = std::set<storm::expressions::Variable>(), uint_fast64_t numberOfUsedNondeterminismVariables = 0) : guardDd(guardDd), transitionsDd(transitionsDd), numberOfUsedNondeterminismVariables(numberOfUsedNondeterminismVariables), assignedGlobalVariables(assignedGlobalVariables) {
// Intentionally left empty.
}
@ -134,7 +134,7 @@ namespace storm {
ActionDecisionDiagram& operator=(ActionDecisionDiagram const& other) = default;
// The guard of the action.
storm::dd::Add<Type, ValueType> guardDd;
storm::dd::Bdd<Type> guardDd;
// The actual transitions (source and target states).
storm::dd::Add<Type, ValueType> transitionsDd;

4
src/storm/generator/PrismNextStateGenerator.cpp

@ -256,13 +256,13 @@ namespace storm {
for (auto const& stateActionReward : rewardModel.get().getStateActionRewards()) {
for (auto const& choice : allChoices) {
if (stateActionReward.getActionIndex() == choice.getActionIndex() && this->evaluator->asBool(stateActionReward.getStatePredicateExpression())) {
stateActionRewardValue += ValueType(this->evaluator->asRational(stateActionReward.getRewardValueExpression())) * choice.getTotalMass() / totalExitRate;
stateActionRewardValue += ValueType(this->evaluator->asRational(stateActionReward.getRewardValueExpression())) * choice.getTotalMass();
}
}
}
}
globalChoice.addReward(stateActionRewardValue);
globalChoice.addReward(stateActionRewardValue / totalExitRate);
}
// Move the newly fused choice in place.

2
src/storm/modelchecker/csl/helper/HybridCtmcCslHelper.cpp

@ -269,7 +269,7 @@ namespace storm {
// Then compute the state reward vector to use in the computation.
storm::dd::Add<DdType, ValueType> totalRewardVector = rewardModel.getTotalRewardVector(rateMatrix, model.getColumnVariables(), exitRateVector, false);
std::vector<ValueType> explicitTotalRewardVector = totalRewardVector.toVector(odd);
// Finally, compute the transient probabilities.
std::vector<ValueType> result = storm::modelchecker::helper::SparseCtmcCslHelper::computeTransientProbabilities<ValueType, true>(explicitUniformizedMatrix, nullptr, timeBound, uniformizationRate, explicitTotalRewardVector, linearEquationSolverFactory);
return std::unique_ptr<CheckResult>(new HybridQuantitativeCheckResult<DdType>(model.getReachableStates(), model.getManager().getBddZero(), model.getManager().template getAddZero<ValueType>(), model.getReachableStates(), std::move(odd), std::move(result)));

4
src/storm/parser/FormulaParser.cpp

@ -31,11 +31,11 @@ namespace storm {
// Intentionally left empty.
}
FormulaParser::FormulaParser(storm::prism::Program const& program) : manager(program.getManager().getSharedPointer()), grammar(new FormulaParserGrammar(manager)) {
FormulaParser::FormulaParser(storm::prism::Program const& program) : manager(program.getManager().getSharedPointer()), grammar(new FormulaParserGrammar(program.getManager().getSharedPointer())) {
this->addFormulasAsIdentifiers(program);
}
FormulaParser::FormulaParser(storm::prism::Program& program) : manager(program.getManager().getSharedPointer()), grammar(new FormulaParserGrammar(manager)) {
FormulaParser::FormulaParser(storm::prism::Program& program) : manager(program.getManager().getSharedPointer()), grammar(new FormulaParserGrammar(program.getManager().getSharedPointer())) {
this->addFormulasAsIdentifiers(program);
}

12
src/test/modelchecker/SymbolicDtmcPrctlModelCheckerTest.cpp

@ -166,8 +166,8 @@ TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Cudd) {
result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
EXPECT_NEAR(0.33288236360191303, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.33288236360191303, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.3328777473921436, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.3328777473921436, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeIGreater1\"]");
@ -175,8 +175,8 @@ TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Cudd) {
result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
EXPECT_NEAR(0.15222081144084315, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.15222081144084315, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.15221847380560186, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.15221847380560186, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeOnlyTrueSender\"]");
@ -184,8 +184,8 @@ TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Cudd) {
result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
EXPECT_NEAR(0.3215392962289586, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.3215392962289586, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.32153516079959443, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(0.32153516079959443, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
}
TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Sylvan) {

20
src/test/modelchecker/SymbolicMdpPrctlModelCheckerTest.cpp

@ -103,8 +103,8 @@ TEST(SymbolicMdpPrctlModelCheckerTest, Dice_Cudd) {
result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult7 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
EXPECT_NEAR(7.3333272933959961, quantitativeResult7.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333272933959961, quantitativeResult7.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333294987678528, quantitativeResult7.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333294987678528, quantitativeResult7.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
formula = formulaParser.parseSingleFormulaFromString("Rmax=? [F \"done\"]");
@ -112,8 +112,8 @@ TEST(SymbolicMdpPrctlModelCheckerTest, Dice_Cudd) {
result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult8 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
EXPECT_NEAR(7.3333272933959961, quantitativeResult8.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333272933959961, quantitativeResult8.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333294987678528, quantitativeResult8.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333294987678528, quantitativeResult8.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
}
TEST(SymbolicMdpPrctlModelCheckerTest, Dice_Sylvan) {
@ -201,8 +201,8 @@ TEST(SymbolicMdpPrctlModelCheckerTest, Dice_Sylvan) {
result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult7 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
EXPECT_NEAR(7.3333272933959961, quantitativeResult7.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333272933959961, quantitativeResult7.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333294987678528, quantitativeResult7.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333294987678528, quantitativeResult7.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
formula = formulaParser.parseSingleFormulaFromString("Rmax=? [F \"done\"]");
@ -210,8 +210,8 @@ TEST(SymbolicMdpPrctlModelCheckerTest, Dice_Sylvan) {
result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult8 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
EXPECT_NEAR(7.3333272933959961, quantitativeResult8.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333272933959961, quantitativeResult8.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333294987678528, quantitativeResult8.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(7.3333294987678528, quantitativeResult8.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
}
TEST(SymbolicMdpPrctlModelCheckerTest, AsynchronousLeader_Cudd) {
@ -290,8 +290,8 @@ TEST(SymbolicMdpPrctlModelCheckerTest, AsynchronousLeader_Cudd) {
result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult6 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
EXPECT_NEAR(4.2856890848060498, quantitativeResult6.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(4.2856890848060498, quantitativeResult6.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(4.2856904354441401, quantitativeResult6.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
EXPECT_NEAR(4.2856904354441401, quantitativeResult6.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
}
TEST(SymbolicMdpPrctlModelCheckerTest, AsynchronousLeader_Sylvan) {

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