49.日常算法
1.LCR 042. 最近的请求次数
题目来源
写一个 RecentCounter 类来计算特定时间范围内最近的请求。
请实现 RecentCounter 类:
RecentCounter() 初始化计数器,请求数为 0 。
int ping(int t) 在时间 t 添加一个新请求,其中 t 表示以毫秒为单位的某个时间,并返回过去 3000 毫秒内发生的所有请求数(包括新请求)。确切地说,返回在 [t-3000, t] 内发生的请求数。保证 每次对 ping 的调用都使用比之前更大的 t 值。
示例:
输入:
inputs = [“RecentCounter”, “ping”, “ping”, “ping”, “ping”]
inputs = [[], [1], [100], [3001], [3002]]
输出:
[null, 1, 2, 3, 3]
解释:
RecentCounter recentCounter = new RecentCounter();
recentCounter.ping(1); // requests = [1],范围是 [-2999,1],返回 1
recentCounter.ping(100); // requests = [1, 100],范围是 [-2900,100],返回 2
recentCounter.ping(3001); // requests = [1, 100, 3001],范围是 [1,3001],返回 3
recentCounter.ping(3002); // requests = [1, 100, 3001, 3002],范围是 [2,3002],返回 3
class RecentCounter {
public:
queue<int> q;
RecentCounter() {
}
int ping(int t) {
q.push(t);
int n = t - 3000;
while (q.front() < n){
q.pop();
}
return q.size();
}
};
/**
* Your RecentCounter object will be instantiated and called as such:
* RecentCounter* obj = new RecentCounter();
* int param_1 = obj->ping(t);
*/
1.岛屿数量
题目来源
给你一个由 ‘1’(陆地)和 ‘0’(水)组成的的二维网格,请你计算网格中岛屿的数量。
岛屿总是被水包围,并且每座岛屿只能由水平方向和/或竖直方向上相邻的陆地连接形成。
此外,你可以假设该网格的四条边均被水包围。
示例 1:
输入:grid = [
["1","1","1","1","0"],
["1","1","0","1","0"],
["1","1","0","0","0"],
["0","0","0","0","0"]
]
输出:1
class Solution {
public:
int dx[4] = {0, 0, 1, -1};
int dy[4] = {1, -1, 0, 0};
bool check(vector<vector<char>>& grid, vector<vector<int>>& vis, int x, int y){
return x < 0 || x >= grid.size() || y < 0 || y >= grid[0].size();
}
void dfs(vector<vector<char>>& grid, vector<vector<int>>& vis, int x, int y){
if (check(grid, vis, x, y)) return;
for (int k = 0; k < 4; ++k){
int x1 = x + dx[k], y1 = y + dy[k];
if (check(grid, vis, x1, y1) || grid[x1][y1] == '0' || vis[x1][y1]) continue;
vis[x1][y1] = 1;
dfs(grid, vis, x1, y1);
}
}
int numIslands(vector<vector<char>>& grid) {
int n = grid.size(), m = grid[0].size();
vector<vector<int>> vis(n, vector<int>(m, 0));
int ret = 0;
for (int i = 0; i < n; ++i){
for (int j = 0; j < m; ++j){
if (grid[i][j] == '1' && vis[i][j] != 1){
++ret;
vis[i][j] = 1;
dfs(grid, vis, i, j);
}
}
}
return ret;
}
};