欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识!
您现在的位置是: 首页

874. Walking Robot Simulation

程序员文章站 2024-03-19 08:20:34
...

A robot on an infinite grid starts at point (0, 0) and faces north.  The robot can receive one of three possible types of commands:

  • -2: turn left 90 degrees
  • -1: turn right 90 degrees
  • 1 <= x <= 9: move forward x units

Some of the grid squares are obstacles. 

The i-th obstacle is at grid point (obstacles[i][0], obstacles[i][1])

If the robot would try to move onto them, the robot stays on the previous grid square instead (but still continues following the rest of the route.)

Return the square of the maximum Euclidean distance that the robot will be from the origin.

 

Example 1:

Input: commands = [4,-1,3], obstacles = []
Output: 25
Explanation: robot will go to (3, 4)

Example 2:

Input: commands = [4,-1,4,-2,4], obstacles = [[2,4]]
Output: 65
Explanation: robot will be stuck at (1, 4) before turning left and going to (1, 8)

 

Note:

  1. 0 <= commands.length <= 10000
  2. 0 <= obstacles.length <= 10000
  3. -30000 <= obstacle[i][0] <= 30000
  4. -30000 <= obstacle[i][1] <= 30000
  5. The answer is guaranteed to be less than 2 ^ 31.

 

Approach #1: C++.

class Solution {
public:
    int robotSim(vector<int>& commands, vector<vector<int>>& obstacles) {
        vector<pair<int, int>> dirs = {{0, 1}, {1, 0}, {0, -1}, {-1, 0}};
        int x = 0, y = 0, di = 0;
        int ans = 0;
        
        set<pair<int, int>> obstacleSet;
        for (auto obstacle : obstacles) 
            obstacleSet.insert(make_pair(obstacle[0], obstacle[1]));
        
        for (int command : commands) {
            if (command == -2) {
                di = (di + 3) % 4;
            } else if (command == -1) {
                di = (di + 1) % 4;
            } else {
                for (int i = 0; i < command; ++i) {
                    int nx = x + dirs[di].first;
                    int ny = y + dirs[di].second;
                    if (obstacleSet.find(make_pair(nx, ny)) == obstacleSet.end()) {
                        x = nx;
                        y = ny;
                        ans = max(ans, x*x + y*y);
                    }
                }
            }
        }
        return ans;
    }
};

  

Analysis:

If we know the relation of the directions and turn, it will become easier.