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64 lines
4.7 KiB
64 lines
4.7 KiB
#include "gtest/gtest.h"
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#include "storm-config.h"
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#include "src/storage/dd/CuddDdManager.h"
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#include "src/utility/solver.h"
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TEST(FullySymbolicGameSolverTest, Solve) {
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// Create some variables.
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std::shared_ptr<storm::dd::DdManager<storm::dd::DdType::CUDD>> manager(new storm::dd::DdManager<storm::dd::DdType::CUDD>());
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std::pair<storm::expressions::Variable, storm::expressions::Variable> state = manager->addMetaVariable("x", 1, 4);
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std::pair<storm::expressions::Variable, storm::expressions::Variable> pl1 = manager->addMetaVariable("a", 0, 1);
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std::pair<storm::expressions::Variable, storm::expressions::Variable> pl2 = manager->addMetaVariable("b", 0, 1);
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storm::dd::Bdd<storm::dd::DdType::CUDD> allRows = manager->getBddZero();
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std::set<storm::expressions::Variable> rowMetaVariables({state.first});
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std::set<storm::expressions::Variable> columnMetaVariables({state.second});
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std::vector<std::pair<storm::expressions::Variable, storm::expressions::Variable>> rowColumnMetaVariablePairs = {state};
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std::set<storm::expressions::Variable> player1Variables({pl1.first});
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std::set<storm::expressions::Variable> player2Variables({pl2.first});
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// Construct simple game.
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storm::dd::Add<storm::dd::DdType::CUDD> matrix = manager->getEncoding(state.first, 1).toAdd() * manager->getEncoding(state.second, 2).toAdd() * manager->getEncoding(pl1.first, 0).toAdd() * manager->getEncoding(pl2.first, 0).toAdd() * manager->getConstant(0.6);
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matrix += manager->getEncoding(state.first, 1).toAdd() * manager->getEncoding(state.second, 1).toAdd() * manager->getEncoding(pl1.first, 0).toAdd() * manager->getEncoding(pl2.first, 0).toAdd() * manager->getConstant(0.4);
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matrix += manager->getEncoding(state.first, 1).toAdd() * manager->getEncoding(state.second, 2).toAdd() * manager->getEncoding(pl1.first, 0).toAdd() * manager->getEncoding(pl2.first, 1).toAdd() * manager->getConstant(0.2);
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matrix += manager->getEncoding(state.first, 1).toAdd() * manager->getEncoding(state.second, 3).toAdd() * manager->getEncoding(pl1.first, 0).toAdd() * manager->getEncoding(pl2.first, 1).toAdd() * manager->getConstant(0.8);
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matrix += manager->getEncoding(state.first, 1).toAdd() * manager->getEncoding(state.second, 3).toAdd() * manager->getEncoding(pl1.first, 1).toAdd() * manager->getEncoding(pl2.first, 0).toAdd() * manager->getConstant(0.5);
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matrix += manager->getEncoding(state.first, 1).toAdd() * manager->getEncoding(state.second, 4).toAdd() * manager->getEncoding(pl1.first, 1).toAdd() * manager->getEncoding(pl2.first, 0).toAdd() * manager->getConstant(0.5);
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matrix += manager->getEncoding(state.first, 1).toAdd() * manager->getEncoding(state.second, 1).toAdd() * manager->getEncoding(pl1.first, 1).toAdd() * manager->getEncoding(pl2.first, 1).toAdd() * manager->getConstant(1);
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std::unique_ptr<storm::utility::solver::SymbolicGameSolverFactory<storm::dd::DdType::CUDD>> solverFactory(new storm::utility::solver::SymbolicGameSolverFactory<storm::dd::DdType::CUDD>());
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std::unique_ptr<storm::solver::SymbolicGameSolver<storm::dd::DdType::CUDD>> solver = solverFactory->create(matrix, allRows, rowMetaVariables, columnMetaVariables, rowColumnMetaVariablePairs, player1Variables,player2Variables);
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// Create solution and target state vector.
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storm::dd::Add<storm::dd::DdType::CUDD> x = manager->getAddZero();
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storm::dd::Add<storm::dd::DdType::CUDD> b = manager->getEncoding(state.first, 2).toAdd() + manager->getEncoding(state.first, 4).toAdd();
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// Now solve the game with different strategies for the players.
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storm::dd::Add<storm::dd::DdType::CUDD> result = solver->solveGame(true, true, x, b);
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result *= manager->getEncoding(state.first, 1).toAdd();
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result = result.sumAbstract({state.first});
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EXPECT_NEAR(0, result.getValue(), storm::settings::nativeEquationSolverSettings().getPrecision());
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x = manager->getAddZero();
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result = solver->solveGame(true, false, x, b);
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result *= manager->getEncoding(state.first, 1).toAdd();
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result = result.sumAbstract({state.first});
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EXPECT_NEAR(0.5, result.getValue(), storm::settings::nativeEquationSolverSettings().getPrecision());
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x = manager->getAddZero();
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result = solver->solveGame(false, true, x, b);
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result *= manager->getEncoding(state.first, 1).toAdd();
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result = result.sumAbstract({state.first});
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EXPECT_NEAR(0.2, result.getValue(), storm::settings::nativeEquationSolverSettings().getPrecision());
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x = manager->getAddZero();
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result = solver->solveGame(false, false, x, b);
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result *= manager->getEncoding(state.first, 1).toAdd();
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result = result.sumAbstract({state.first});
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EXPECT_NEAR(0.99999892625817599, result.getValue(), storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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