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JaniExporter: Export accumulation for LRA properties correctly.

tempestpy_adaptions
TimQu 6 years ago
parent
0d8ecaff35
commit
91b763d218
1 changed files with 35 additions and 50 deletions
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  1. 85
      src/storm/storage/jani/JSONExporter.cpp

85
src/storm/storage/jani/JSONExporter.cpp
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@ -495,61 +495,46 @@ namespace storm {
} else { } else {
opString += "min"; opString += "min";
} }
opDecl["op"] = opString;
if (f.getSubformula().isEventuallyFormula()) {
opDecl["reach"] = anyToJson(f.getSubformula().asEventuallyFormula().getSubformula().accept(*this, data));
if (f.getSubformula().asEventuallyFormula().hasRewardAccumulation()) {
opDecl["accumulate"] = constructRewardAccumulation(f.getSubformula().asEventuallyFormula().getRewardAccumulation(), rewardModelName);
} else {
opDecl["accumulate"] = constructStandardRewardAccumulation(rewardModelName);
}
} else if (f.getSubformula().isCumulativeRewardFormula()) {
// TODO: support for reward bounded formulas
STORM_LOG_WARN_COND(!f.getSubformula().asCumulativeRewardFormula().getTimeBoundReference().isRewardBound(), "Export for cumulative reward formulas with reward instant currently unsupported.");
opDecl[instantName] = buildExpression(f.getSubformula().asCumulativeRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables());
if (f.getSubformula().asCumulativeRewardFormula().hasRewardAccumulation()) {
opDecl["accumulate"] = constructRewardAccumulation(f.getSubformula().asCumulativeRewardFormula().getRewardAccumulation(), rewardModelName);
} else {
opDecl["accumulate"] = constructStandardRewardAccumulation(rewardModelName);
}
} else if (f.getSubformula().isInstantaneousRewardFormula()) {
opDecl[instantName] = buildExpression(f.getSubformula().asInstantaneousRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables());
} else if (f.getSubformula().isLongRunAverageRewardFormula()) {
if (f.getSubformula().asLongRunAverageRewardFormula().hasRewardAccumulation()) {
opDecl["accumulate"] = constructRewardAccumulation(f.getSubformula().asLongRunAverageRewardFormula().getRewardAccumulation(), rewardModelName);
} else {
opDecl["accumulate"] = constructStandardRewardAccumulation(rewardModelName);
}
}
opDecl["exp"] = buildExpression(model.getRewardModelExpression(rewardModelName), model.getConstants(), model.getGlobalVariables());
if(f.hasBound()) { if(f.hasBound()) {
modernjson::json compDecl;
auto bound = f.getBound(); auto bound = f.getBound();
opDecl["op"] = comparisonTypeToJani(bound.comparisonType);
opDecl["left"]["op"] = opString;
if (f.getSubformula().isEventuallyFormula()) {
opDecl["left"]["reach"] = anyToJson(f.getSubformula().asEventuallyFormula().getSubformula().accept(*this, data));
if (f.getSubformula().asEventuallyFormula().hasRewardAccumulation()) {
opDecl["left"]["accumulate"] = constructRewardAccumulation(f.getSubformula().asEventuallyFormula().getRewardAccumulation(), rewardModelName);
} else {
opDecl["left"]["accumulate"] = constructStandardRewardAccumulation(rewardModelName);
}
} else if (f.getSubformula().isCumulativeRewardFormula()) {
// TODO: support for reward bounded formulas
STORM_LOG_WARN_COND(!f.getSubformula().asCumulativeRewardFormula().getTimeBoundReference().isRewardBound(), "Export for reward bounded cumulative reward formulas currently unsupported.");
opDecl["left"][instantName] = buildExpression(f.getSubformula().asCumulativeRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables());
if (f.getSubformula().asCumulativeRewardFormula().hasRewardAccumulation()) {
opDecl["left"]["accumulate"] = constructRewardAccumulation(f.getSubformula().asCumulativeRewardFormula().getRewardAccumulation(), rewardModelName);
} else {
opDecl["left"]["accumulate"] = constructStandardRewardAccumulation(rewardModelName);
}
} else if (f.getSubformula().isInstantaneousRewardFormula()) {
opDecl["left"][instantName] = buildExpression(f.getSubformula().asInstantaneousRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables());
} else if (f.getSubformula().isLongRunAverageRewardFormula()) {
// Nothing to do in this case
}
opDecl["left"]["exp"] = buildExpression(model.getRewardModelExpression(rewardModelName), model.getConstants(), model.getGlobalVariables());
opDecl["right"] = buildExpression(bound.threshold, model.getConstants(), model.getGlobalVariables());
compDecl["op"] = comparisonTypeToJani(bound.comparisonType);
compDecl["left"] = std::move(opDecl);
compDecl["right"] = buildExpression(bound.threshold, model.getConstants(), model.getGlobalVariables());
return compDecl;
} else { } else {
opDecl["op"] = opString;
if (f.getSubformula().isEventuallyFormula()) {
opDecl["reach"] = anyToJson(f.getSubformula().asEventuallyFormula().getSubformula().accept(*this, data));
if (f.getSubformula().asEventuallyFormula().hasRewardAccumulation()) {
opDecl["accumulate"] = constructRewardAccumulation(f.getSubformula().asEventuallyFormula().getRewardAccumulation(), rewardModelName);
} else {
opDecl["accumulate"] = constructStandardRewardAccumulation(rewardModelName);
}
} else if (f.getSubformula().isCumulativeRewardFormula()) {
// TODO: support for reward bounded formulas
STORM_LOG_WARN_COND(!f.getSubformula().asCumulativeRewardFormula().getTimeBoundReference().isRewardBound(), "Export for reward bounded cumulative reward formulas currently unsupported.");
opDecl[instantName] = buildExpression(f.getSubformula().asCumulativeRewardFormula().getBound(), model.getConstants(), model.getGlobalVariables());
if (f.getSubformula().asCumulativeRewardFormula().hasRewardAccumulation()) {
opDecl["accumulate"] = constructRewardAccumulation(f.getSubformula().asCumulativeRewardFormula().getRewardAccumulation(), rewardModelName);
} else {
opDecl["accumulate"] = constructStandardRewardAccumulation(rewardModelName);
}
} else if (f.getSubformula().isInstantaneousRewardFormula()) {
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());
return opDecl;
} }
return opDecl;
} }
boost::any FormulaToJaniJson::visit(storm::logic::TotalRewardFormula const&, boost::any const&) const { boost::any FormulaToJaniJson::visit(storm::logic::TotalRewardFormula const&, boost::any const&) const {

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