岛屿的数量
in Algorithm Pageviews
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
范围
n == grid.size()
m = grid[0].size()
1 <= m, n <= 300
grid[i][j]
的值为0
或1
代码输出如下
class Solution {
public:
int NumIsLands(vector<vector<char>> &grid)
{
int n = grid.size();
int m = grid[0].size();
int result = 0;
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) {
if (grid[i][j] != '1') {
continue;
}
result++;
dfs(grid, i, j);
}
}
result;
}
vector<int> dir = {-1, 0, 1, 0, -1};
void dfs(vector<vector<char>> &grid, int i, int j)
{
int n = grid.size();
int m = grid[0].size();
queue<pair<int, int>> que;
que.push({i, j});
while (!que.empty()) {
auto [r, c] = que.front();
que.pop();
for (int i = 0; i < 4; i++) {
auto x_ = r + dir[i];
auto y_ = c + dir[i + 1];
if (x_ < 0 || x_ >= n || y_ < 0 || y_ >= m || gird[x_][y_] == '0') {
continue;
}
grid[x_][y_] = '0';
que.push({x_, y_});
}
}
}
};