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Jani: import/export of steady-state properties

tempestpy_adaptions
TimQu 6 years ago
parent
commit
082d624174
  1. 20
      src/storm-parsers/parser/JaniParser.cpp
  2. 34
      src/storm/storage/jani/JSONExporter.cpp

20
src/storm-parsers/parser/JaniParser.cpp

@ -383,7 +383,24 @@ namespace storm {
} }
} }
} else if (opString == "Smin" || opString == "Smax") { } else if (opString == "Smin" || opString == "Smax") {
STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "Smin and Smax are currently not supported");
storm::logic::OperatorInformation opInfo;
opInfo.optimalityType = opString == "Smin" ? storm::solver::OptimizationDirection::Minimize : storm::solver::OptimizationDirection::Maximize;
opInfo.bound = bound;
STORM_LOG_THROW(propertyStructure.count("exp") > 0, storm::exceptions::InvalidJaniException, "Expected an expression at steady state property at " << scope.description);
auto rewExpr = parseExpression(propertyStructure["exp"], scope.refine("steady-state operator"), true);
if (!expr.isInitialized() || expr.hasBooleanType()) {
std::shared_ptr<storm::logic::Formula const> subformula = parseUnaryFormulaArgument(propertyStructure, formulaContext, opString, scope.refine("Steady-state operator"))[0];
return std::make_shared<storm::logic::LongRunAverageOperatorFormula>(subformula, opInfo);
}
STORM_LOG_THROW(rewExpr.hasNumericalType(), storm::exceptions::InvalidJaniException, "Reward expression '" << rewExpr << "' does not have numerical type in " << scope.description);
std::string rewardName = rewExpr.toString();
if (!rewExpr.isVariable()) {
nonTrivialRewardModelExpressions.emplace(rewardName, rewExpr);
}
auto subformula = std::make_shared<storm::logic::LongRunAverageRewardFormula>();
return std::make_shared<storm::logic::RewardOperatorFormula>(subformula, rewardName, opInfo);
} else if (opString == "U" || opString == "F") { } else if (opString == "U" || opString == "F") {
assert(bound == boost::none); assert(bound == boost::none);
std::vector<std::shared_ptr<storm::logic::Formula const>> args; std::vector<std::shared_ptr<storm::logic::Formula const>> args;
@ -540,6 +557,7 @@ namespace storm {
STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "No complex comparisons for properties are supported."); STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "No complex comparisons for properties are supported.");
} else if (expr.isInitialized()) { } else if (expr.isInitialized()) {
assert(bound == boost::none); assert(bound == boost::none);
STORM_LOG_THROW(expr.hasBooleanType(), storm::exceptions::InvalidJaniException, "Expected a boolean expression at " << scope.description);
return std::make_shared<storm::logic::AtomicExpressionFormula>(expr); return std::make_shared<storm::logic::AtomicExpressionFormula>(expr);
} else { } else {
STORM_LOG_THROW(false, storm::exceptions::InvalidJaniException, "Unknown operator " << opString); STORM_LOG_THROW(false, storm::exceptions::InvalidJaniException, "Unknown operator " << opString);

34
src/storm/storage/jani/JSONExporter.cpp

@ -370,7 +370,7 @@ namespace storm {
} else { } else {
// TODO add checks // TODO add checks
opDecl["op"] = "Pmin";
opDecl["op"] = "Smin";
opDecl["exp"] = anyToJson(f.getSubformula().accept(*this, data)); opDecl["exp"] = anyToJson(f.getSubformula().accept(*this, data));
} }
} }
@ -478,14 +478,24 @@ namespace storm {
} }
STORM_LOG_THROW(!rewardModelName.empty(), storm::exceptions::NotSupportedException, "Reward name has to be specified for Jani-conversion"); STORM_LOG_THROW(!rewardModelName.empty(), storm::exceptions::NotSupportedException, "Reward name has to be specified for Jani-conversion");
std::string opString = "";
if (f.getSubformula().isLongRunAverageRewardFormula()) {
opString = "S";
} else {
opString = "E";
}
if (f.hasOptimalityType()) {
opString += storm::solver::minimize(f.getOptimalityType()) ? "min" : "max";
} else if (f.hasBound()) {
opString += storm::logic::isLowerBound(f.getBound().comparisonType) ? "min" : "max";
} else {
opString += "min";
}
if(f.hasBound()) { if(f.hasBound()) {
auto bound = f.getBound(); auto bound = f.getBound();
opDecl["op"] = comparisonTypeToJani(bound.comparisonType); opDecl["op"] = comparisonTypeToJani(bound.comparisonType);
if(f.hasOptimalityType()) {
opDecl["left"]["op"] = f.getOptimalityType() == storm::solver::OptimizationDirection::Minimize ? "Emin" : "Emax";
} else {
opDecl["left"]["op"] = (bound.comparisonType == storm::logic::ComparisonType::Less || bound.comparisonType == storm::logic::ComparisonType::LessEqual) ? "Emax" : "Emin";
}
opDecl["left"]["op"] = opString;
if (f.getSubformula().isEventuallyFormula()) { if (f.getSubformula().isEventuallyFormula()) {
opDecl["left"]["reach"] = anyToJson(f.getSubformula().asEventuallyFormula().getSubformula().accept(*this, data)); opDecl["left"]["reach"] = anyToJson(f.getSubformula().asEventuallyFormula().getSubformula().accept(*this, data));
if (f.getSubformula().asEventuallyFormula().hasRewardAccumulation()) { if (f.getSubformula().asEventuallyFormula().hasRewardAccumulation()) {
@ -504,17 +514,13 @@ namespace storm {
} }
} else if (f.getSubformula().isInstantaneousRewardFormula()) { } else if (f.getSubformula().isInstantaneousRewardFormula()) {
opDecl["left"][instantName] = buildExpression(f.getSubformula().asInstantaneousRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables()); opDecl["left"][instantName] = buildExpression(f.getSubformula().asInstantaneousRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables());
} else if (f.getSubformula().isLongRunAverageRewardFormula()) {
// Nothing to do in this case
} }
STORM_LOG_THROW(f.hasRewardModelName(), storm::exceptions::NotSupportedException, "Reward name has to be specified for Jani-conversion");
opDecl["left"]["exp"] = buildExpression(model.getRewardModelExpression(rewardModelName), model.getConstants(), model.getGlobalVariables()); opDecl["left"]["exp"] = buildExpression(model.getRewardModelExpression(rewardModelName), model.getConstants(), model.getGlobalVariables());
opDecl["right"] = buildExpression(bound.threshold, model.getConstants(), model.getGlobalVariables()); opDecl["right"] = buildExpression(bound.threshold, model.getConstants(), model.getGlobalVariables());
} else { } else {
if (f.hasOptimalityType()) {
opDecl["op"] = f.getOptimalityType() == storm::solver::OptimizationDirection::Minimize ? "Emin" : "Emax";
} else {
// TODO add checks
opDecl["op"] = "Emin";
}
opDecl["op"] = opString;
if (f.getSubformula().isEventuallyFormula()) { if (f.getSubformula().isEventuallyFormula()) {
opDecl["reach"] = anyToJson(f.getSubformula().asEventuallyFormula().getSubformula().accept(*this, data)); opDecl["reach"] = anyToJson(f.getSubformula().asEventuallyFormula().getSubformula().accept(*this, data));
@ -534,6 +540,8 @@ namespace storm {
} }
} else if (f.getSubformula().isInstantaneousRewardFormula()) { } else if (f.getSubformula().isInstantaneousRewardFormula()) {
opDecl[instantName] = buildExpression(f.getSubformula().asInstantaneousRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables()); opDecl[instantName] = buildExpression(f.getSubformula().asInstantaneousRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables());
} else if (f.getSubformula().isLongRunAverageRewardFormula()) {
// Nothing to do in this case
} }
opDecl["exp"] = buildExpression(model.getRewardModelExpression(rewardModelName), model.getConstants(), model.getGlobalVariables()); opDecl["exp"] = buildExpression(model.getRewardModelExpression(rewardModelName), model.getConstants(), model.getGlobalVariables());
} }

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