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