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#include "gtest/gtest.h"
#include "storm-config.h"
#include "src/storage/SparseMatrix.h"
#include "src/utility/solver.h"
#include "src/settings/SettingsManager.h"
#include "src/solver/GameSolver.h"
#include "src/settings/modules/NativeEquationSolverSettings.h"
TEST(GameSolverTest, Solve) {
// Construct simple game. Start with player 2 matrix.
storm::storage::SparseMatrixBuilder<double> player2MatrixBuilder(0, 0, 0, false, true);
player2MatrixBuilder.newRowGroup(0);
player2MatrixBuilder.addNextValue(0, 0, 0.4);
player2MatrixBuilder.addNextValue(0, 1, 0.6);
player2MatrixBuilder.addNextValue(1, 1, 0.2);
player2MatrixBuilder.addNextValue(1, 2, 0.8);
player2MatrixBuilder.newRowGroup(2);
player2MatrixBuilder.addNextValue(2, 2, 0.5);
player2MatrixBuilder.addNextValue(2, 3, 0.5);
player2MatrixBuilder.addNextValue(3, 0, 1);
player2MatrixBuilder.newRowGroup(4);
player2MatrixBuilder.newRowGroup(5);
player2MatrixBuilder.newRowGroup(6);
storm::storage::SparseMatrix<double> player2Matrix = player2MatrixBuilder.build();
// Now build player 1 matrix.
storm::storage::SparseMatrixBuilder<storm::storage::sparse::state_type> player1MatrixBuilder(0, 0, 0, false, true);
player1MatrixBuilder.newRowGroup(0);
player1MatrixBuilder.addNextValue(0, 0, 1);
player1MatrixBuilder.addNextValue(1, 1, 1);
player1MatrixBuilder.newRowGroup(2);
player1MatrixBuilder.addNextValue(2, 2, 1);
player1MatrixBuilder.newRowGroup(3);
player1MatrixBuilder.addNextValue(3, 3, 1);
player1MatrixBuilder.newRowGroup(4);
player1MatrixBuilder.addNextValue(4, 4, 1);
storm::storage::SparseMatrix<storm::storage::sparse::state_type> player1Matrix = player1MatrixBuilder.build();
std::unique_ptr<storm::utility::solver::GameSolverFactory<double>> solverFactory(new storm::utility::solver::GameSolverFactory<double>());
std::unique_ptr<storm::solver::GameSolver<double>> solver = solverFactory->create(player1Matrix, player2Matrix);
// Create solution and target state vector.
std::vector<double> result(4);
std::vector<double> b(7);
b[4] = 1;
b[6] = 1;
// Now solve the game with different strategies for the players.
solver->solveGame(storm::OptimizationDirection::Minimize, storm::OptimizationDirection::Minimize, result, b);
EXPECT_NEAR(0, result[0], storm::settings::nativeEquationSolverSettings().getPrecision());
result = std::vector<double>(4);
solver->solveGame(storm::OptimizationDirection::Minimize, storm::OptimizationDirection::Maximize, result, b);
EXPECT_NEAR(0.5, result[0], storm::settings::nativeEquationSolverSettings().getPrecision());
result = std::vector<double>(4);
solver->solveGame(storm::OptimizationDirection::Maximize, storm::OptimizationDirection::Minimize, result, b);
EXPECT_NEAR(0.2, result[0], storm::settings::nativeEquationSolverSettings().getPrecision());
result = std::vector<double>(4);
solver->solveGame(storm::OptimizationDirection::Maximize, storm::OptimizationDirection::Maximize, result, b);
EXPECT_NEAR(0.99999892625817599, result[0], storm::settings::nativeEquationSolverSettings().getPrecision());
}