//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
//
//
// 示例 2:
//
//
//输入:grid = [
// ["1","1","0","0","0"],
// ["1","1","0","0","0"],
// ["0","0","1","0","0"],
// ["0","0","0","1","1"]
//]
//输出:3
//
//
//
//
// 提示:
//
//
// m == grid.length
// n == grid[i].length
// 1 <= m, n <= 300
// grid[i][j] 的值为 '0' 或 '1'
//
// Related Topics 深度优先搜索 广度优先搜索 并查集
// 👍 1191 👎 0
/*
* 200 岛屿数量
* 2021-06-14 13:07:54
* @author oxygenbytes
*/
#include "leetcode.h"
//leetcode submit region begin(Prohibit modification and deletion)
class Solution {
public:
int numIslands(vector<vector<char>>& grid) {
int m = grid.size();
int n = grid[0].size();
int res = 0;
for(int i = 0;i < m;i++){
for(int j = 0;j < n;j++){
if(grid[i][j] == '1'){
dfs(grid, i, j);
res++;
}
}
}
return res;
}
int dx[4] = {-1, 0, 1, 0};
int dy[4] = {0, 1, 0, -1};
void dfs(vector<vector<char>>& grid, int x,int y){
grid[x][y] = '0';
for(int i = 0;i < 4;i++){
int a = dx[i] + x;
int b = dy[i] + y;
if(a < 0 || a >= grid.size() || b < 0 || b >= grid[0].size() || grid[a][b] == '0')
continue;
dfs(grid, a, b);
}
}
};
//leetcode submit region end(Prohibit modification and deletion)