LeetCode: 865. Shortest Path to Get All Keys

LeetCode: 865. Shortest Path to Get All Keys

题目描述

We are given a 2-dimensional grid. "." is an empty cell, "#" is a wall,"@" is the starting point, ("a","b", …) are keys, and ("A", "B", …) are locks.

We start at the starting point, and one move consists of walking one space in one of the 4 cardinal directions. We cannot walk outside the grid, or walk into a wall. If we walk over a key, we pick it up. We can’t walk over a lock unless we have the corresponding key.

For some 1 <= K <= 6, there is exactly one lowercase and one uppercase letter of the first K letters of the English alphabet in the grid. This means that there is exactly one key for each lock, and one lock for each key; and also that the letters used to represent the keys and locks were chosen in the same order as the English alphabet.

Return the lowest number of moves to acquire all keys. If it’s impossible, return -1.

Example 1:

Input: ["@.a.#","###.#","b.A.B"]
Output: 8

Example 2:

Input: ["@..aA","..B#.","....b"]
Output: 6

Note:

1 <= grid.length <= 30
1 <= grid[0].length <= 30
grid[i][j] contains only '.', '#', '@', 'a'-'f' and 'A'-'F'
The number of keys is in [1, 6].  Each key has a different letter and opens exactly one lock.

解题思路 —— DFS + BFS

DFS 遍历顺序, BFS 遍历最近距离

AC 代码

class Solution {
private:
    // 返回距离 (x, y) 下一个 key 的位置
    pair<int, int> BFS(const vector<string>& grid, int x, int y, 
                       string keysSeached, char curKey, int& len)
    {
        if(x < 0 || y < 0 || x >= grid.size() || y >= grid[x].size())
        {
            return {-1, -1};
        }

        // 标记走过的路径
        vector<string> gridFlag(grid);
        gridFlag[x][y] = '#';

        queue<pair<int, int>> que;
        que.push({x, y});
        que.push({-1, -1});

        static int dirs[][2] = {{0,1}, {1, 0}, {0, -1}, {-1, 0}};
        while(!que.empty())
        {
            int curX = que.front().first;
            int curY = que.front().second;
            que.pop();

            if(curX == -1 && que.empty())
            {
                continue;
            }
            else if(curX == -1 && !que.empty())
            {
                que.push({-1, -1});
                ++len;
                continue;
            }

            for(int i = 0; i < 4; ++i)
            {
                int tx = curX + dirs[i][0];
                int ty = curY + dirs[i][1];

                // 越界
                if(tx < 0 || ty < 0 || tx >= grid.size() || ty >= grid[x].size())
                {
                    continue;
                }
                // 障碍
                if(gridFlag[tx][ty] == '#')
                {
                    continue;
                }
                // 锁 + 没有对应的 key
                if(isupper(gridFlag[tx][ty]) && 
                   keysSeached.find(tolower(gridFlag[tx][ty])) == keysSeached.npos)
                {
                    continue;
                }

                // 当前的 key
                if(gridFlag[tx][ty] == curKey && 
                   keysSeached.find(gridFlag[tx][ty]) == keysSeached.npos)
                {
                    return {tx, ty};
                }

                // 锁+有对应的 key,起点`@`, 路 `.`,处理过的key
                gridFlag[tx][ty] = '#';
                que.push({tx, ty});
            }
        }

        return {-1, -1};
    }

    // 返回距离
    int DFS(const vector<string>& grid, int x, int y, 
            string keysSeached, string keysSeaching)
    {
        if(x < 0 || y < 0 || x >= grid.size() || y >= grid[x].size())
        {
            return -1;
        }
        if(keysSeaching.empty())
        {
            return 0;
        }

        int ans = -1;
        for(int i = 0; i < keysSeaching.size(); ++i)
        {
            int nextLen = 1;
            pair<int, int> nextPos = BFS(grid, x, y, keysSeached, keysSeaching[i], nextLen);
            if(nextPos.first == -1) continue;
            string keysSeachedRef(keysSeached), keysSeachingRef(keysSeaching);
            keysSeachedRef.push_back(grid[nextPos.first][nextPos.second]);
            keysSeachingRef.erase(keysSeaching.find(grid[nextPos.first][nextPos.second]), 1);

            int ret = DFS(grid, nextPos.first, nextPos.second, keysSeachedRef, keysSeachingRef);

            if(ret == -1) continue;
            if(ans == -1 || ans > ret+nextLen) ans = ret + nextLen;
        }

        return ans;
    }
public:
    // DFS + BFS search solution
    int shortestPathAllKeys(vector<string>& grid) {
        bool ans = -1;
        pair<int, int> startPos;
        string keys;

        for(int i = 0; i < grid.size(); ++i)
        {
            for(int j = 0; j < grid[i].size(); ++j)
            {
                if(grid[i][j] == '@')
                {
                    startPos = {i, j};
                }

                if(islower(grid[i][j]))
                {
                    keys.push_back(grid[i][j]);
                }
            }
        }

        return DFS(grid, startPos.first, startPos.second, "", keys);
    }
};
全部评论

相关推荐

给我发了笔试链接,想着等晚上回去做,结果还没做流程就终止了
伟大的小黄鸭在学习:我猜就是笔试几乎没用,就是用来给用人部门拖时间复筛简历的,可能用人部门筛到你简历觉得不合适就提前挂了
投递小鹏汽车等公司10个岗位
点赞 评论 收藏
分享
点赞 评论 收藏
分享
06-02 15:53
阳光学院 Java
点赞 评论 收藏
分享
评论
点赞
收藏
分享

创作者周榜

更多
牛客网
牛客网在线编程
牛客网题解
牛客企业服务