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  1. #include "gtest/gtest.h"
  2. #include "storm-config.h"
  3. #include "src/parser/FormulaParser.h"
  4. #include "src/logic/Formulas.h"
  5. #include "src/utility/solver.h"
  6. #include "src/modelchecker/prctl/SymbolicDtmcPrctlModelChecker.h"
  7. #include "src/modelchecker/results/SymbolicQualitativeCheckResult.h"
  8. #include "src/modelchecker/results/SymbolicQuantitativeCheckResult.h"
  9. #include "src/parser/PrismParser.h"
  10. #include "src/builder/DdPrismModelBuilder.h"
  11. #include "src/models/symbolic/StandardRewardModel.h"
  12. #include "src/models/symbolic/Dtmc.h"
  13. #include "src/settings/SettingsManager.h"
  14. #include "src/settings/modules/NativeEquationSolverSettings.h"
  15. #include "src/settings/modules/GeneralSettings.h"
  16. TEST(SymbolicDtmcPrctlModelCheckerTest, SynchronousLeader_Cudd) {
  17. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/performance/builder/leader5_8.pm");
  18. // A parser that we use for conveniently constructing the formulas.
  19. storm::parser::FormulaParser formulaParser;
  20. // Build the die model with its reward model.
  21. #ifdef WINDOWS
  22. storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options;
  23. #else
  24. typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options;
  25. #endif
  26. options.buildAllRewardModels = false;
  27. options.rewardModelsToBuild.insert("num_rounds");
  28. std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::CUDD>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>().build(program, options);
  29. EXPECT_EQ(131521ul, model->getNumberOfStates());
  30. EXPECT_EQ(164288ul, model->getNumberOfTransitions());
  31. ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc);
  32. std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>>();
  33. storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::CUDD, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>()));
  34. std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"elected\"]");
  35. std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula);
  36. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
  37. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
  38. EXPECT_NEAR(1.0, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  39. EXPECT_NEAR(1.0, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  40. formula = formulaParser.parseSingleFormulaFromString("P=? [F<=20 \"elected\"]");
  41. result = checker.check(*formula);
  42. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
  43. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
  44. EXPECT_NEAR(0.9999947917094687, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  45. EXPECT_NEAR(0.9999947917094687, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  46. formula = formulaParser.parseSingleFormulaFromString("R=? [F \"elected\"]");
  47. result = checker.check(*formula);
  48. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
  49. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
  50. EXPECT_NEAR(1.0176397951004841, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  51. EXPECT_NEAR(1.0176397951004841, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  52. }
  53. TEST(SymbolicDtmcPrctlModelCheckerTest, SynchronousLeader_Sylvan) {
  54. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/performance/builder/leader5_8.pm");
  55. // A parser that we use for conveniently constructing the formulas.
  56. storm::parser::FormulaParser formulaParser;
  57. // Build the die model with its reward model.
  58. #ifdef WINDOWS
  59. storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options;
  60. #else
  61. typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options;
  62. #endif
  63. options.buildAllRewardModels = false;
  64. options.rewardModelsToBuild.insert("num_rounds");
  65. std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::Sylvan>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>().build(program, options);
  66. EXPECT_EQ(131521ul, model->getNumberOfStates());
  67. EXPECT_EQ(164288ul, model->getNumberOfTransitions());
  68. ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc);
  69. std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>>();
  70. storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::Sylvan, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>()));
  71. std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"elected\"]");
  72. std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula);
  73. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
  74. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
  75. EXPECT_NEAR(1.0, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  76. EXPECT_NEAR(1.0, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  77. formula = formulaParser.parseSingleFormulaFromString("P=? [F<=20 \"elected\"]");
  78. result = checker.check(*formula);
  79. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
  80. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
  81. EXPECT_NEAR(0.9999947917094687, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  82. EXPECT_NEAR(0.9999947917094687, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  83. formula = formulaParser.parseSingleFormulaFromString("R=? [F \"elected\"]");
  84. result = checker.check(*formula);
  85. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
  86. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
  87. EXPECT_NEAR(1.0176397951004841, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  88. EXPECT_NEAR(1.0176397951004841, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  89. }
  90. TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Cudd) {
  91. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/performance/builder/crowds15_5.pm");
  92. // A parser that we use for conveniently constructing the formulas.
  93. storm::parser::FormulaParser formulaParser;
  94. std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::CUDD>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>().build(program);
  95. EXPECT_EQ(586242ul, model->getNumberOfStates());
  96. EXPECT_EQ(1753883ul, model->getNumberOfTransitions());
  97. ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc);
  98. std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>>();
  99. storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::CUDD, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>()));
  100. std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observe0Greater1\"]");
  101. std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula);
  102. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
  103. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
  104. EXPECT_NEAR(0.24084538502812078, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  105. EXPECT_NEAR(0.24084538502812078, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  106. formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeIGreater1\"]");
  107. result = checker.check(*formula);
  108. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
  109. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
  110. EXPECT_NEAR(0.065569806085001583, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  111. EXPECT_NEAR(0.065569806085001583, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  112. formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeOnlyTrueSender\"]");
  113. result = checker.check(*formula);
  114. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
  115. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
  116. EXPECT_NEAR(0.23773283919051694, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  117. EXPECT_NEAR(0.23773283919051694, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  118. }
  119. TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Sylvan) {
  120. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/performance/builder/crowds15_5.pm");
  121. // A parser that we use for conveniently constructing the formulas.
  122. storm::parser::FormulaParser formulaParser;
  123. std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::Sylvan>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>().build(program);
  124. EXPECT_EQ(586242ul, model->getNumberOfStates());
  125. EXPECT_EQ(1753883ul, model->getNumberOfTransitions());
  126. ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc);
  127. std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>>();
  128. storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::Sylvan, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>()));
  129. std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observe0Greater1\"]");
  130. std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula);
  131. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
  132. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
  133. EXPECT_NEAR(0.24084538502812078, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  134. EXPECT_NEAR(0.24084538502812078, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  135. formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeIGreater1\"]");
  136. result = checker.check(*formula);
  137. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
  138. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
  139. EXPECT_NEAR(0.065569806085001583, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  140. EXPECT_NEAR(0.065569806085001583, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  141. formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeOnlyTrueSender\"]");
  142. result = checker.check(*formula);
  143. result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
  144. storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
  145. EXPECT_NEAR(0.23773283919051694, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  146. EXPECT_NEAR(0.23773283919051694, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  147. }