You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

126 lines
7.0 KiB

  1. #include "gtest/gtest.h"
  2. #include "storm-config.h"
  3. #include "src/settings/SettingsManager.h"
  4. #include "src/modelchecker/prctl/SparseMdpPrctlModelChecker.h"
  5. #include "src/solver/NativeNondeterministicLinearEquationSolver.h"
  6. #include "src/parser/AutoParser.h"
  7. TEST(SparseMdpPrctlModelCheckerTest, AsynchronousLeader) {
  8. std::shared_ptr<storm::models::AbstractModel<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.tra", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.lab", "", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.trans.rew");
  9. ASSERT_EQ(abstractModel->getType(), storm::models::MDP);
  10. std::shared_ptr<storm::models::Mdp<double>> mdp = abstractModel->as<storm::models::Mdp<double>>();
  11. ASSERT_EQ(2095783ull, mdp->getNumberOfStates());
  12. ASSERT_EQ(7714385ull, mdp->getNumberOfTransitions());
  13. storm::modelchecker::prctl::SparseMdpPrctlModelChecker<double> mc(*mdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>()));
  14. auto apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("elected");
  15. auto eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(apFormula);
  16. std::vector<double> result = mc.checkOptimizingOperator(*eventuallyFormula, true);
  17. ASSERT_LT(std::abs(result[0] - 1.0), storm::settings::nativeEquationSolverSettings().getPrecision());
  18. result = mc.checkOptimizingOperator(*eventuallyFormula, false);
  19. ASSERT_LT(std::abs(result[0] - 1.0), storm::settings::nativeEquationSolverSettings().getPrecision());
  20. apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("elected");
  21. auto boundedEventuallyFormula = std::make_shared<storm::properties::prctl::BoundedEventually<double>>(apFormula, 25);
  22. result = mc.checkOptimizingOperator(*boundedEventuallyFormula, true);
  23. ASSERT_LT(std::abs(result[0] - 0.0), storm::settings::nativeEquationSolverSettings().getPrecision());
  24. result = mc.checkOptimizingOperator(*boundedEventuallyFormula, false);
  25. ASSERT_LT(std::abs(result[0] - 0.0), storm::settings::nativeEquationSolverSettings().getPrecision());
  26. apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("elected");
  27. auto reachabilityRewardFormula = std::make_shared<storm::properties::prctl::ReachabilityReward<double>>(apFormula);
  28. result = mc.checkOptimizingOperator(*reachabilityRewardFormula, true);
  29. ASSERT_LT(std::abs(result[0] - 6.172433512), storm::settings::nativeEquationSolverSettings().getPrecision());
  30. result = mc.checkOptimizingOperator(*reachabilityRewardFormula, false);
  31. ASSERT_LT(std::abs(result[0] - 6.1724344), storm::settings::nativeEquationSolverSettings().getPrecision());
  32. }
  33. TEST(SparseMdpPrctlModelCheckerTest, Consensus) {
  34. // Increase the maximal number of iterations, because the solver does not converge otherwise.
  35. // This is done in the main cpp unit
  36. std::shared_ptr<storm::models::AbstractModel<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.tra", STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.lab", STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.steps.state.rew", "");
  37. ASSERT_EQ(abstractModel->getType(), storm::models::MDP);
  38. std::shared_ptr<storm::models::Mdp<double>> mdp = abstractModel->as<storm::models::Mdp<double>>();
  39. ASSERT_EQ(63616ull, mdp->getNumberOfStates());
  40. ASSERT_EQ(213472ull, mdp->getNumberOfTransitions());
  41. storm::modelchecker::prctl::SparseMdpPrctlModelChecker<double> mc(*mdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>()));
  42. auto apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished");
  43. auto eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(apFormula);
  44. std::vector<double> result = mc.checkOptimizingOperator(*eventuallyFormula, true);
  45. ASSERT_LT(std::abs(result[31168] - 1.0), storm::settings::nativeEquationSolverSettings().getPrecision());
  46. apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished");
  47. auto apFormula2 = std::make_shared<storm::properties::prctl::Ap<double>>("all_coins_equal_0");
  48. auto andFormula = std::make_shared<storm::properties::prctl::And<double>>(apFormula, apFormula2);
  49. eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(andFormula);
  50. result = mc.checkOptimizingOperator(*eventuallyFormula, true);
  51. ASSERT_LT(std::abs(result[31168] - 0.4374282832), storm::settings::nativeEquationSolverSettings().getPrecision());
  52. apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished");
  53. apFormula2 = std::make_shared<storm::properties::prctl::Ap<double>>("all_coins_equal_1");
  54. andFormula = std::make_shared<storm::properties::prctl::And<double>>(apFormula, apFormula2);
  55. eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(andFormula);
  56. result = mc.checkOptimizingOperator(*eventuallyFormula, false);
  57. ASSERT_LT(std::abs(result[31168] - 0.5293286369), storm::settings::nativeEquationSolverSettings().getPrecision());
  58. apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished");
  59. apFormula2 = std::make_shared<storm::properties::prctl::Ap<double>>("agree");
  60. auto notFormula = std::make_shared<storm::properties::prctl::Not<double>>(apFormula2);
  61. andFormula = std::make_shared<storm::properties::prctl::And<double>>(apFormula, notFormula);
  62. eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(andFormula);
  63. result = mc.checkOptimizingOperator(*eventuallyFormula, false);
  64. ASSERT_LT(std::abs(result[31168] - 0.10414097), storm::settings::nativeEquationSolverSettings().getPrecision());
  65. apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished");
  66. auto boundedEventuallyFormula = std::make_shared<storm::properties::prctl::BoundedEventually<double>>(apFormula, 50ull);
  67. result = mc.checkOptimizingOperator(*boundedEventuallyFormula, true);
  68. ASSERT_LT(std::abs(result[31168] - 0.0), storm::settings::nativeEquationSolverSettings().getPrecision());
  69. result = mc.checkOptimizingOperator(*boundedEventuallyFormula, false);
  70. ASSERT_LT(std::abs(result[31168] - 0.0), storm::settings::nativeEquationSolverSettings().getPrecision());
  71. apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished");
  72. auto reachabilityRewardFormula = std::make_shared<storm::properties::prctl::ReachabilityReward<double>>(apFormula);
  73. result = mc.checkOptimizingOperator(*reachabilityRewardFormula, true);
  74. ASSERT_LT(std::abs(result[31168] - 1725.593313), storm::settings::nativeEquationSolverSettings().getPrecision());
  75. result = mc.checkOptimizingOperator(*reachabilityRewardFormula, false);
  76. ASSERT_LT(std::abs(result[31168] - 2183.142422), storm::settings::nativeEquationSolverSettings().getPrecision());
  77. }