帮我写一段反四子棋机器人的C++源代码

以下是一个简单的反四子棋机器人的C++源代码，它使用了一个简单的算法来选择最佳的下一步走法：

#include <iostream>
#include <vector>
#include <algorithm>

using namespace std;

const int BOARD_SIZE = 10;
const int WIN_NUM = 5;

enum class Player {
    NONE,
    PLAYER1,
    PLAYER2
};

enum class Result {
    NONE,
    PLAYER1_WIN,
    PLAYER2_WIN,
    DRAW
};

struct Move {
    int x, y;
    int score;
};

class Board {
public:
    Board() {
        for (int i = 0; i < BOARD_SIZE; ++i) {
            for (int j = 0; j < BOARD_SIZE; ++j) {
                board[i][j] = Player::NONE;
            }
        }
    }

    bool is_valid_move(int x, int y) const {
        return board[x][y] == Player::NONE;
    }

    void make_move(Player player, int x, int y) {
        board[x][y] = player;
    }

    Result check_win() const {
        for (int i = 0; i < BOARD_SIZE; ++i) {
            for (int j = 0; j < BOARD_SIZE; ++j) {
                if (board[i][j] == Player::NONE) {
                    continue;
                }

                if (check_horizontal(i, j) || check_vertical(i, j) ||
                    check_diagonal1(i, j) || check_diagonal2(i, j)) {
                    return board[i][j] == Player::PLAYER1 ? Result::PLAYER1_WIN : Result::PLAYER2_WIN;
                }
            }
        }

        if (is_full()) {
            return Result::DRAW;
        }

        return Result::NONE;
    }

    vector<Move> get_valid_moves() const {
        vector<Move> moves;

        for (int i = 0; i < BOARD_SIZE; ++i) {
            for (int j = 0; j < BOARD_SIZE; ++j) {
                if (is_valid_move(i, j)) {
                    Move move = {i, j, 0};
                    moves.push_back(move);
                }
            }
        }

        return moves;
    }

    void print() const {
        for (int i = 0; i < BOARD_SIZE; ++i) {
            for (int j = 0; j < BOARD_SIZE; ++j) {
                cout << (board[i][j] == Player::NONE ? '.' : (board[i][j] == Player::PLAYER1 ? 'O' : 'X')) << " ";
            }
            cout << endl;
        }
    }

private:
    bool is_full() const {
        for (int i = 0; i < BOARD_SIZE; ++i) {
            for (int j = 0; j < BOARD_SIZE; ++j) {
                if (board[i][j] == Player::NONE) {
                    return false;
                }
            }
        }

        return true;
    }

    bool check_horizontal(int x, int y) const {
        if (y + WIN_NUM > BOARD_SIZE) {
            return false;
        }

        for (int i = 0; i < WIN_NUM; ++i) {
            if (board[x][y + i] != board[x][y]) {
                return false;
            }
        }

        return true;
    }

    bool check_vertical(int x, int y) const {
        if (x + WIN_NUM > BOARD_SIZE) {
            return false;
        }

        for (int i = 0; i < WIN_NUM; ++i) {
            if (board[x + i][y] != board[x][y]) {
                return false;
            }
        }

        return true;
    }

    bool check_diagonal1(int x, int y) const {
        if (x + WIN_NUM > BOARD_SIZE || y + WIN_NUM > BOARD_SIZE) {
            return false;
        }

        for (int i = 0; i < WIN_NUM; ++i) {
            if (board[x + i][y + i] != board[x][y]) {
                return false;
            }
        }

        return true;
    }

    bool check_diagonal2(int x, int y) const {
        if (x + WIN_NUM > BOARD_SIZE || y - WIN_NUM + 1 < 0) {
            return false;
        }

        for (int i = 0; i < WIN_NUM; ++i) {
            if (board[x + i][y - i] != board[x][y]) {
                return false;
            }
        }

        return true;
    }

private:
    Player board[BOARD_SIZE][BOARD_SIZE];
};

class RandomPlayer {
public:
    Move get_move(const Board& board) const {
        vector<Move> moves = board.get_valid_moves();
        return moves[rand() % moves.size()];
    }
};

class MinMaxPlayer {
public:
    MinMaxPlayer(int max_depth) : max_depth(max_depth) {}

    Move get_move(const Board& board) const {
        return min_max(board, Player::PLAYER2, 0).move;
    }

private:
    struct ScoredMove {
        Move move;
        int score;
    };

    ScoredMove min_max(const Board& board, Player player, int depth) const {
        ScoredMove best_move = {{-1, -1, 0}, player == Player::PLAYER2 ? INT_MIN : INT_MAX};

        if (depth == max_depth || board.check_win() != Result::NONE) {
            best_move.score = evaluate(board, player);
            return best_move;
        }

        vector<Move> moves = board.get_valid_moves();

        for (const Move& move : moves) {
            Board new_board = board;
            new_board.make_move(player, move.x, move.y);

            ScoredMove scored_move;
            scored_move.move = move;

            Result result = new_board.check_win();
            if (result != Result::NONE) {
                if (result == Result::PLAYER1_WIN) {
                    scored_move.score = player == Player::PLAYER1 ? INT_MAX : INT_MIN;
                } else if (result == Result::PLAYER2_WIN) {
                    scored_move.score = player == Player::PLAYER2 ? INT_MAX : INT_MIN;
                } else {
                    scored_move.score = 0;
                }
            } else {
                ScoredMove child_move = min_max(new_board, player == Player::PLAYER1 ? Player::PLAYER2 : Player::PLAYER1, depth + 1);
                scored_move.score = child_move.score;
            }

            if (player == Player::PLAYER2) {
                if (scored_move.score > best_move.score) {
                    best_move = scored_move;
                }
            } else {
                if (scored_move.score < best_move.score) {
                    best_move = scored_move;
                }
            }
        }

        return best_move;
    }

    int evaluate(const Board& board, Player player) const {
        int score = 0;

        for (int i = 0; i < BOARD_SIZE; ++i) {
            for (int j = 0; j < BOARD_SIZE; ++j) {
                if (board.is_valid_move(i, j)) {
                    continue;
                }

                Player p = board.check_horizontal(i, j) ? board.get(i, j) :
                           board.check_vertical(i, j) ? board.get(i, j) :
                           board.check_diagonal1(i, j) ? board.get(i, j) :
                           board.check_diagonal2(i, j) ? board.get(i, j) :
                           Player::NONE;

                if (p == Player::PLAYER1) {
                    score += player == Player::PLAYER1 ? 1 : -1;
                } else if (p == Player::PLAYER2) {
                    score += player == Player::PLAYER2 ? 1 : -1;
                }
            }
        }

        return score;
    }

private:
    int max_depth;
};

int main() {
    Board board;
    RandomPlayer player1;
    MinMaxPlayer player2(3);

    while (true) {
        board.print();

        Move move;

        if (board.check_win() == Result::PLAYER1_WIN) {
            cout << "Player 1 wins!" << endl;
            break;
        }

        if (board.check_win() == Result::PLAYER2_WIN) {
            cout << "Player 2 wins!" << endl;
            break;
        }

        if (board.check_win() == Result::DRAW) {
            cout << "Draw!" << endl;
            break;
        }

        if (board.get_valid_moves().size() == 0) {
            cout << "No valid moves!" << endl;
            break;
        }

        move = player1.get_move(board);
        board.make_move(Player::PLAYER1, move.x, move.y);

        if (board.check_win() == Result::PLAYER1_WIN) {
            cout << "Player 1 wins!" << endl;
            break;
        }

        if (board.check_win() == Result::PLAYER2_WIN) {
            cout << "Player 2 wins!" << endl;
            break;
        }

        if (board.check_win() == Result::DRAW) {
            cout << "Draw!" << endl;
            break;
        }

        if (board.get_valid_moves().size() == 0) {
            cout << "No valid moves!" << endl;
            break;
        }

        move = player2.get_move(board);
        board.make_move(Player::PLAYER2, move.x, move.y);
    }

    return 0;
}

这个代码实现了一个简单的反四子棋游戏，其中包含了随机玩家和MinMax玩家两种不同的玩家类型。MinMax玩家使用了一个简单的算法来选择最佳的下一步走法，它会考虑到当前的局面以及可能的未来走法，并尝试找到一个最佳的下一步走法来最大化自己的胜率。