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  1. #include "gtest/gtest.h"
  2. #include "storm-config.h"
  3. #include "src/storage/dd/DdManager.h"
  4. #include "src/utility/solver.h"
  5. #include "src/settings/SettingsManager.h"
  6. #include "src/solver/SymbolicGameSolver.h"
  7. #include "src/settings/modules/NativeEquationSolverSettings.h"
  8. TEST(FullySymbolicGameSolverTest, Solve_Cudd) {
  9. // Create some variables.
  10. std::shared_ptr<storm::dd::DdManager<storm::dd::DdType::CUDD>> manager(new storm::dd::DdManager<storm::dd::DdType::CUDD>());
  11. std::pair<storm::expressions::Variable, storm::expressions::Variable> state = manager->addMetaVariable("x", 1, 4);
  12. std::pair<storm::expressions::Variable, storm::expressions::Variable> pl1 = manager->addMetaVariable("a", 0, 1);
  13. std::pair<storm::expressions::Variable, storm::expressions::Variable> pl2 = manager->addMetaVariable("b", 0, 1);
  14. storm::dd::Bdd<storm::dd::DdType::CUDD> allRows = manager->getBddZero();
  15. std::set<storm::expressions::Variable> rowMetaVariables({state.first});
  16. std::set<storm::expressions::Variable> columnMetaVariables({state.second});
  17. std::vector<std::pair<storm::expressions::Variable, storm::expressions::Variable>> rowColumnMetaVariablePairs = {state};
  18. std::set<storm::expressions::Variable> player1Variables({pl1.first});
  19. std::set<storm::expressions::Variable> player2Variables({pl2.first});
  20. // Construct simple game.
  21. storm::dd::Add<storm::dd::DdType::CUDD, double> matrix = manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 2).template toAdd<double>() * manager->getEncoding(pl1.first, 0).template toAdd<double>() * manager->getEncoding(pl2.first, 0).template toAdd<double>() * manager->getConstant(0.6);
  22. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 1).template toAdd<double>() * manager->getEncoding(pl1.first, 0).template toAdd<double>() * manager->getEncoding(pl2.first, 0).template toAdd<double>() * manager->getConstant(0.4);
  23. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 2).template toAdd<double>() * manager->getEncoding(pl1.first, 0).template toAdd<double>() * manager->getEncoding(pl2.first, 1).template toAdd<double>() * manager->getConstant(0.2);
  24. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 3).template toAdd<double>() * manager->getEncoding(pl1.first, 0).template toAdd<double>() * manager->getEncoding(pl2.first, 1).template toAdd<double>() * manager->getConstant(0.8);
  25. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 3).template toAdd<double>() * manager->getEncoding(pl1.first, 1).template toAdd<double>() * manager->getEncoding(pl2.first, 0).template toAdd<double>() * manager->getConstant(0.5);
  26. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 4).template toAdd<double>() * manager->getEncoding(pl1.first, 1).template toAdd<double>() * manager->getEncoding(pl2.first, 0).template toAdd<double>() * manager->getConstant(0.5);
  27. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 1).template toAdd<double>() * manager->getEncoding(pl1.first, 1).template toAdd<double>() * manager->getEncoding(pl2.first, 1).template toAdd<double>() * manager->getConstant<double>(1);
  28. std::unique_ptr<storm::utility::solver::SymbolicGameSolverFactory<storm::dd::DdType::CUDD, double>> solverFactory(new storm::utility::solver::SymbolicGameSolverFactory<storm::dd::DdType::CUDD, double>());
  29. std::unique_ptr<storm::solver::SymbolicGameSolver<storm::dd::DdType::CUDD>> solver = solverFactory->create(matrix, allRows, rowMetaVariables, columnMetaVariables, rowColumnMetaVariablePairs, player1Variables,player2Variables);
  30. // Create solution and target state vector.
  31. storm::dd::Add<storm::dd::DdType::CUDD, double> x = manager->template getAddZero<double>();
  32. storm::dd::Add<storm::dd::DdType::CUDD, double> b = manager->getEncoding(state.first, 2).template toAdd<double>() + manager->getEncoding(state.first, 4).template toAdd<double>();
  33. // Now solve the game with different strategies for the players.
  34. storm::dd::Add<storm::dd::DdType::CUDD> result = solver->solveGame(storm::OptimizationDirection::Minimize, storm::OptimizationDirection::Minimize, x, b);
  35. result *= manager->getEncoding(state.first, 1).template toAdd<double>();
  36. result = result.sumAbstract({state.first});
  37. EXPECT_NEAR(0, result.getValue(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  38. x = manager->getAddZero<double>();
  39. result = solver->solveGame(storm::OptimizationDirection::Minimize, storm::OptimizationDirection::Maximize, x, b);
  40. result *= manager->getEncoding(state.first, 1).template toAdd<double>();
  41. result = result.sumAbstract({state.first});
  42. EXPECT_NEAR(0.5, result.getValue(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  43. x = manager->getAddZero<double>();
  44. result = solver->solveGame(storm::OptimizationDirection::Maximize, storm::OptimizationDirection::Minimize, x, b);
  45. result *= manager->getEncoding(state.first, 1).template toAdd<double>();
  46. result = result.sumAbstract({state.first});
  47. EXPECT_NEAR(0.2, result.getValue(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  48. x = manager->getAddZero<double>();
  49. result = solver->solveGame(storm::OptimizationDirection::Maximize, storm::OptimizationDirection::Maximize, x, b);
  50. result *= manager->getEncoding(state.first, 1).template toAdd<double>();
  51. result = result.sumAbstract({state.first});
  52. EXPECT_NEAR(0.99999892625817599, result.getValue(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  53. }
  54. TEST(FullySymbolicGameSolverTest, Solve_Sylvan) {
  55. // Create some variables.
  56. std::shared_ptr<storm::dd::DdManager<storm::dd::DdType::Sylvan>> manager(new storm::dd::DdManager<storm::dd::DdType::Sylvan>());
  57. std::pair<storm::expressions::Variable, storm::expressions::Variable> state = manager->addMetaVariable("x", 1, 4);
  58. std::pair<storm::expressions::Variable, storm::expressions::Variable> pl1 = manager->addMetaVariable("a", 0, 1);
  59. std::pair<storm::expressions::Variable, storm::expressions::Variable> pl2 = manager->addMetaVariable("b", 0, 1);
  60. storm::dd::Bdd<storm::dd::DdType::Sylvan> allRows = manager->getBddZero();
  61. std::set<storm::expressions::Variable> rowMetaVariables({state.first});
  62. std::set<storm::expressions::Variable> columnMetaVariables({state.second});
  63. std::vector<std::pair<storm::expressions::Variable, storm::expressions::Variable>> rowColumnMetaVariablePairs = {state};
  64. std::set<storm::expressions::Variable> player1Variables({pl1.first});
  65. std::set<storm::expressions::Variable> player2Variables({pl2.first});
  66. // Construct simple game.
  67. storm::dd::Add<storm::dd::DdType::Sylvan, double> matrix = manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 2).template toAdd<double>() * manager->getEncoding(pl1.first, 0).template toAdd<double>() * manager->getEncoding(pl2.first, 0).template toAdd<double>() * manager->getConstant(0.6);
  68. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 1).template toAdd<double>() * manager->getEncoding(pl1.first, 0).template toAdd<double>() * manager->getEncoding(pl2.first, 0).template toAdd<double>() * manager->getConstant(0.4);
  69. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 2).template toAdd<double>() * manager->getEncoding(pl1.first, 0).template toAdd<double>() * manager->getEncoding(pl2.first, 1).template toAdd<double>() * manager->getConstant(0.2);
  70. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 3).template toAdd<double>() * manager->getEncoding(pl1.first, 0).template toAdd<double>() * manager->getEncoding(pl2.first, 1).template toAdd<double>() * manager->getConstant(0.8);
  71. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 3).template toAdd<double>() * manager->getEncoding(pl1.first, 1).template toAdd<double>() * manager->getEncoding(pl2.first, 0).template toAdd<double>() * manager->getConstant(0.5);
  72. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 4).template toAdd<double>() * manager->getEncoding(pl1.first, 1).template toAdd<double>() * manager->getEncoding(pl2.first, 0).template toAdd<double>() * manager->getConstant(0.5);
  73. matrix += manager->getEncoding(state.first, 1).template toAdd<double>() * manager->getEncoding(state.second, 1).template toAdd<double>() * manager->getEncoding(pl1.first, 1).template toAdd<double>() * manager->getEncoding(pl2.first, 1).template toAdd<double>() * manager->getConstant<double>(1);
  74. std::unique_ptr<storm::utility::solver::SymbolicGameSolverFactory<storm::dd::DdType::Sylvan, double>> solverFactory(new storm::utility::solver::SymbolicGameSolverFactory<storm::dd::DdType::Sylvan, double>());
  75. std::unique_ptr<storm::solver::SymbolicGameSolver<storm::dd::DdType::Sylvan>> solver = solverFactory->create(matrix, allRows, rowMetaVariables, columnMetaVariables, rowColumnMetaVariablePairs, player1Variables,player2Variables);
  76. // Create solution and target state vector.
  77. storm::dd::Add<storm::dd::DdType::Sylvan, double> x = manager->template getAddZero<double>();
  78. storm::dd::Add<storm::dd::DdType::Sylvan, double> b = manager->getEncoding(state.first, 2).template toAdd<double>() + manager->getEncoding(state.first, 4).template toAdd<double>();
  79. // Now solve the game with different strategies for the players.
  80. storm::dd::Add<storm::dd::DdType::Sylvan> result = solver->solveGame(storm::OptimizationDirection::Minimize, storm::OptimizationDirection::Minimize, x, b);
  81. result *= manager->getEncoding(state.first, 1).template toAdd<double>();
  82. result = result.sumAbstract({state.first});
  83. EXPECT_NEAR(0, result.getValue(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  84. x = manager->getAddZero<double>();
  85. result = solver->solveGame(storm::OptimizationDirection::Minimize, storm::OptimizationDirection::Maximize, x, b);
  86. result *= manager->getEncoding(state.first, 1).template toAdd<double>();
  87. result = result.sumAbstract({state.first});
  88. EXPECT_NEAR(0.5, result.getValue(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  89. x = manager->getAddZero<double>();
  90. result = solver->solveGame(storm::OptimizationDirection::Maximize, storm::OptimizationDirection::Minimize, x, b);
  91. result *= manager->getEncoding(state.first, 1).template toAdd<double>();
  92. result = result.sumAbstract({state.first});
  93. EXPECT_NEAR(0.2, result.getValue(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  94. x = manager->getAddZero<double>();
  95. result = solver->solveGame(storm::OptimizationDirection::Maximize, storm::OptimizationDirection::Maximize, x, b);
  96. result *= manager->getEncoding(state.first, 1).template toAdd<double>();
  97. result = result.sumAbstract({state.first});
  98. EXPECT_NEAR(0.99999892625817599, result.getValue(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision());
  99. }