生成代码完成蒙特卡洛树判断五子棋胜负，通过c语言来写

以下是一个基于 C 语言的简单实现，使用了蒙特卡洛树搜索算法来判断五子棋胜负：

#include <stdio.h>
#include <stdlib.h>
#include <time.h>

#define BOARD_SIZE 15          // 棋盘大小
#define WIN_COUNT 5           // 获胜所需棋子数

typedef struct {
    int x;
    int y;
} Position;                    // 棋子位置

typedef struct Node Node;
struct Node {
    int visit_count;
    double win_count;
    Position move;
    Node *parent;
    Node **children;
    int children_count;
    int untried_moves_count;
    Position *untried_moves;
};

typedef struct {
    int board[BOARD_SIZE][BOARD_SIZE];
    int current_player;
} GameState;                   // 游戏状态

// 初始化游戏状态
void init_game_state(GameState *state) {
    int i, j;
    for (i = 0; i < BOARD_SIZE; i++) {
        for (j = 0; j < BOARD_SIZE; j++) {
            state->board[i][j] = 0;
        }
    }
    state->current_player = 1;
}

// 判断赢家
int winner(GameState *state) {
    int i, j, k;
    int count;
    int player;

    // 水平方向
    for (i = 0; i < BOARD_SIZE; i++) {
        for (j = 0; j <= BOARD_SIZE - WIN_COUNT; j++) {
            player = state->board[i][j];
            if (player != 0) {
                count = 1;
                for (k = 1; k < WIN_COUNT; k++) {
                    if (state->board[i][j + k] == player) {
                        count++;
                    } else {
                        break;
                    }
                }
                if (count == WIN_COUNT) {
                    return player;
                }
            }
        }
    }

    // 垂直方向
    for (i = 0; i <= BOARD_SIZE - WIN_COUNT; i++) {
        for (j = 0; j < BOARD_SIZE; j++) {
            player = state->board[i][j];
            if (player != 0) {
                count = 1;
                for (k = 1; k < WIN_COUNT; k++) {
                    if (state->board[i + k][j] == player) {
                        count++;
                    } else {
                        break;
                    }
                }
                if (count == WIN_COUNT) {
                    return player;
                }
            }
        }
    }

    // 主对角线方向
    for (i = 0; i <= BOARD_SIZE - WIN_COUNT; i++) {
        for (j = 0; j <= BOARD_SIZE - WIN_COUNT; j++) {
            player = state->board[i][j];
            if (player != 0) {
                count = 1;
                for (k = 1; k < WIN_COUNT; k++) {
                    if (state->board[i + k][j + k] == player) {
                        count++;
                    } else {
                        break;
                    }
                }
                if (count == WIN_COUNT) {
                    return player;
                }
            }
        }
    }

    // 副对角线方向
    for (i = 0; i <= BOARD_SIZE - WIN_COUNT; i++) {
        for (j = WIN_COUNT - 1; j < BOARD_SIZE; j++) {
            player = state->board[i][j];
            if (player != 0) {
                count = 1;
                for (k = 1; k < WIN_COUNT; k++) {
                    if (state->board[i + k][j - k] == player) {
                        count++;
                    } else {
                        break;
                    }
                }
                if (count == WIN_COUNT) {
                    return player;
                }
            }
        }
    }

    return 0;
}

// 创建新的节点
Node *new_node(Position move, Node *parent) {
    Node *node = (Node *) malloc(sizeof(Node));
    node->visit_count = 0;
    node->win_count = 0.0;
    node->move = move;
    node->parent = parent;
    node->children = NULL;
    node->children_count = 0;
    node->untried_moves_count = BOARD_SIZE * BOARD_SIZE;
    node->untried_moves = (Position *) malloc(sizeof(Position) * node->untried_moves_count);
    int i, j;
    for (i = 0; i < BOARD_SIZE; i++) {
        for (j = 0; j < BOARD_SIZE; j++) {
            node->untried_moves[i * BOARD_SIZE + j].x = i;
            node->untried_moves[i * BOARD_SIZE + j].y = j;
        }
    }
    return node;
}

// 释放节点
void free_node(Node *node) {
    int i;
    for (i = 0; i < node->children_count; i++) {
        free_node(node->children[i]);
    }
    free(node->children);
    free(node->untried_moves);
    free(node);
}

// 选择节点
Node *select_node(Node *node) {
    while (node->untried_moves_count == 0 && node->children_count > 0) {
        double max_ucb1 = -1.0;
        int selected_index = -1;
        int i;
        for (i = 0; i < node->children_count; i++) {
            Node *child = node->children[i];
            double ucb1 = child->win_count / child->visit_count + sqrt(2.0 * log(node->visit_count) / child->visit_count);
            if (ucb1 > max_ucb1) {
                max_ucb1 = ucb1;
                selected_index = i;
            }
        }
        node = node->children[selected_index];
    }
    return node;
}

// 扩展节点
Node *expand_node(Node *node) {
    int selected_index = rand() % node->untried_moves_count;
    Position selected_move = node->untried_moves[selected_index];
    node->untried_moves[selected_index] = node->untried_moves[node->untried_moves_count - 1];
    node->untried_moves_count--;
    Node *child_node = new_node(selected_move, node);
    if (node->children == NULL) {
        node->children = (Node **) malloc(sizeof(Node *));
    } else {
        node->children = (Node **) realloc(node->children, sizeof(Node *) * (node->children_count + 1));
    }
    node->children[node->children_count] = child_node;
    node->children_count++;
    return child_node;
}

// 模拟游戏
int simulate_game(GameState *state) {
    GameState copy_state;
    int result;
    while (1) {
        copy_state = *state;
        while (1) {
            int x = rand() % BOARD_SIZE;
            int y = rand() % BOARD_SIZE;
            if (copy_state.board[x][y] == 0) {
                copy_state.board[x][y] = copy_state.current_player;
                copy_state.current_player = 3 - copy_state.current_player;
                break;
            }
        }
        result = winner(&copy_state);
        if (result != 0) {
            break;
        }
    }
    return result;
}

// 回溯更新节点
void back_propagate(Node *node, int result) {
    while (node != NULL) {
        node->visit_count++;
        if (node->move.x >= 0 && node->move.y >= 0) {
            if (result == node->parent->move.player) {
                node->win_count += 1.0;
            }
        }
        node = node->parent;
    }
}

// 蒙特卡洛树搜索算法
Position monte_carlo_tree_search(GameState *state, int iterations) {
    Node *root_node = new_node((Position) {-1, -1, state->current_player}, NULL);
    int i;
    for (i = 0; i < iterations; i++) {
        Node *node = select_node(root_node);
        Node *child_node = expand_node(node);
        int result = simulate_game(state);
        back_propagate(child_node, result);
    }
    double max_win_count = -1.0;
    int selected_index = -1;
    for (i = 0; i < root_node->children_count; i++) {
        Node *child = root_node->children[i];
        if (child->win_count > max_win_count) {
            max_win_count = child->win_count;
            selected_index = i;
        }
    }
    Position selected_move = root_node->children[selected_index]->move;
    free_node(root_node);
    return selected_move;
}

// 打印棋盘
void print_board(GameState *state) {
    int i, j;
    for (i = 0; i < BOARD_SIZE; i++) {
        for (j = 0; j < BOARD_SIZE; j++) {
            if (state->board[i][j] == 1) {
                printf("O");
            } else if (state->board[i][j] == 2) {
                printf("X");
            } else {
                printf(".");
            }
        }
        printf("\n");
    }
}

int main() {
    srand((unsigned int) time(NULL));
    GameState state;
    init_game_state(&state);
    while (1) {
        print_board(&state);
        int result = winner(&state);
        if (result != 0) {
            printf("Player %d wins!\n", result);
            break;
        }
        if (state.current_player == 1) {
            printf("Player O's turn.\n");
            int x, y;
            scanf("%d%d", &x, &y);
            if (state.board[x][y] == 0) {
                state.board[x][y] = 1;
                state.current_player = 2;
            } else {
                printf("Invalid move.\n");
            }
        } else {
            printf("Player X's turn.\n");
            Position move = monte_carlo_tree_search(&state, 100000);
            printf("Move: %d %d\n", move.x, move.y);
            state.board[move.x][move.y] = 2;
            state.current_player = 1;
        }
    }
    return 0;
}

这是一个基于蒙特卡洛树搜索算法的简单实现，使用随机模拟游戏来评估节点。在实际应用中，可能需要更复杂的评估函数来模拟游戏，并且需要调整参数来提高搜索效率和准确性。