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168 lines
9.1 KiB
168 lines
9.1 KiB
#include "gtest/gtest.h"
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#include "storm-config.h"
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#include "src/solver/NativeNondeterministicLinearEquationSolver.h"
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#include "src/settings/Settings.h"
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#include "src/modelchecker/prctl/SparseMdpPrctlModelChecker.h"
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#include "src/parser/AutoParser.h"
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TEST(SparseMdpPrctlModelCheckerTest, Dice) {
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storm::settings::Settings* s = storm::settings::Settings::getInstance();
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std::shared_ptr<storm::models::AbstractModel<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.tra", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.lab", "", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.flip.trans.rew");
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ASSERT_EQ(abstractModel->getType(), storm::models::MDP);
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std::shared_ptr<storm::models::Mdp<double>> mdp = abstractModel->as<storm::models::Mdp<double>>();
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ASSERT_EQ(mdp->getNumberOfStates(), 169ull);
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ASSERT_EQ(mdp->getNumberOfTransitions(), 436ull);
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storm::modelchecker::prctl::SparseMdpPrctlModelChecker<double> mc(*mdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>()));
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storm::property::prctl::Ap<double>* apFormula = new storm::property::prctl::Ap<double>("two");
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storm::property::prctl::Eventually<double>* eventuallyFormula = new storm::property::prctl::Eventually<double>(apFormula);
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std::vector<double> result = mc.checkOptimizingOperator(*eventuallyFormula, true);
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ASSERT_LT(std::abs(result[0] - 0.0277777612209320068), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = mc.checkOptimizingOperator(*eventuallyFormula, false);
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ASSERT_LT(std::abs(result[0] - 0.0277777612209320068), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete eventuallyFormula;
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apFormula = new storm::property::prctl::Ap<double>("three");
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eventuallyFormula = new storm::property::prctl::Eventually<double>(apFormula);
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result = mc.checkOptimizingOperator(*eventuallyFormula, true);
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ASSERT_LT(std::abs(result[0] - 0.0555555224418640136), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = mc.checkOptimizingOperator(*eventuallyFormula, false);
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ASSERT_LT(std::abs(result[0] - 0.0555555224418640136), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete eventuallyFormula;
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apFormula = new storm::property::prctl::Ap<double>("four");
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eventuallyFormula = new storm::property::prctl::Eventually<double>(apFormula);
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result = mc.checkOptimizingOperator(*eventuallyFormula, true);
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ASSERT_LT(std::abs(result[0] - 0.083333283662796020508), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = mc.checkOptimizingOperator(*eventuallyFormula, false);
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ASSERT_LT(std::abs(result[0] - 0.083333283662796020508), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete eventuallyFormula;
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apFormula = new storm::property::prctl::Ap<double>("done");
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storm::property::prctl::ReachabilityReward<double>* reachabilityRewardFormula = new storm::property::prctl::ReachabilityReward<double>(apFormula);
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result = mc.checkOptimizingOperator(*reachabilityRewardFormula, true);
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ASSERT_LT(std::abs(result[0] - 7.333329499), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = mc.checkOptimizingOperator(*reachabilityRewardFormula, false);
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ASSERT_LT(std::abs(result[0] - 7.333329499), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete reachabilityRewardFormula;
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abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.tra", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.lab", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.flip.state.rew", "");
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ASSERT_EQ(abstractModel->getType(), storm::models::MDP);
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std::shared_ptr<storm::models::Mdp<double>> stateRewardMdp = abstractModel->as<storm::models::Mdp<double>>();
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storm::modelchecker::prctl::SparseMdpPrctlModelChecker<double> stateRewardModelChecker(*stateRewardMdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>()));
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apFormula = new storm::property::prctl::Ap<double>("done");
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reachabilityRewardFormula = new storm::property::prctl::ReachabilityReward<double>(apFormula);
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result = stateRewardModelChecker.checkOptimizingOperator(*reachabilityRewardFormula, true);
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ASSERT_LT(std::abs(result[0] - 7.333329499), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = stateRewardModelChecker.checkOptimizingOperator(*reachabilityRewardFormula, false);
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ASSERT_LT(std::abs(result[0] - 7.333329499), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete reachabilityRewardFormula;
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abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.tra", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.lab", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.flip.state.rew", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.flip.trans.rew");
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ASSERT_EQ(abstractModel->getType(), storm::models::MDP);
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std::shared_ptr<storm::models::Mdp<double>> stateAndTransitionRewardMdp = abstractModel->as<storm::models::Mdp<double>>();
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storm::modelchecker::prctl::SparseMdpPrctlModelChecker<double> stateAndTransitionRewardModelChecker(*stateAndTransitionRewardMdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>()));
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apFormula = new storm::property::prctl::Ap<double>("done");
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reachabilityRewardFormula = new storm::property::prctl::ReachabilityReward<double>(apFormula);
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result = stateAndTransitionRewardModelChecker.checkOptimizingOperator(*reachabilityRewardFormula, true);
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ASSERT_LT(std::abs(result[0] - 14.666658998), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = stateAndTransitionRewardModelChecker.checkOptimizingOperator(*reachabilityRewardFormula, false);
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ASSERT_LT(std::abs(result[0] - 14.666658998), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete reachabilityRewardFormula;
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}
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TEST(SparseMdpPrctlModelCheckerTest, AsynchronousLeader) {
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storm::settings::Settings* s = storm::settings::Settings::getInstance();
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std::shared_ptr<storm::models::AbstractModel<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader4.tra", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader4.lab", "", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader4.trans.rew");
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ASSERT_EQ(storm::models::MDP, abstractModel->getType());
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std::shared_ptr<storm::models::Mdp<double>> mdp = abstractModel->as<storm::models::Mdp<double>>();
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ASSERT_EQ(3172ull, mdp->getNumberOfStates());
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ASSERT_EQ(7144ull, mdp->getNumberOfTransitions());
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storm::modelchecker::prctl::SparseMdpPrctlModelChecker<double> mc(*mdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>()));
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storm::property::prctl::Ap<double>* apFormula = new storm::property::prctl::Ap<double>("elected");
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storm::property::prctl::Eventually<double>* eventuallyFormula = new storm::property::prctl::Eventually<double>(apFormula);
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std::vector<double> result = mc.checkOptimizingOperator(*eventuallyFormula, true);
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ASSERT_LT(std::abs(result[0] - 1), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = mc.checkOptimizingOperator(*eventuallyFormula, false);
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ASSERT_LT(std::abs(result[0] - 1), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete eventuallyFormula;
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apFormula = new storm::property::prctl::Ap<double>("elected");
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storm::property::prctl::BoundedEventually<double>* boundedEventuallyFormula = new storm::property::prctl::BoundedEventually<double>(apFormula, 25);
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result = mc.checkOptimizingOperator(*boundedEventuallyFormula, true);
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ASSERT_LT(std::abs(result[0] - 0.0625), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = mc.checkOptimizingOperator(*boundedEventuallyFormula, false);
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ASSERT_LT(std::abs(result[0] - 0.0625), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete boundedEventuallyFormula;
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apFormula = new storm::property::prctl::Ap<double>("elected");
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storm::property::prctl::ReachabilityReward<double>* reachabilityRewardFormula = new storm::property::prctl::ReachabilityReward<double>(apFormula);
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result = mc.checkOptimizingOperator(*reachabilityRewardFormula, true);
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ASSERT_LT(std::abs(result[0] - 4.285689611), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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result = mc.checkOptimizingOperator(*reachabilityRewardFormula, false);
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ASSERT_LT(std::abs(result[0] - 4.285689611), s->getOptionByLongName("precision").getArgument(0).getValueAsDouble());
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delete reachabilityRewardFormula;
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}
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