You are given an m x n
grid
where each cell can have one of three values:
0
representing an empty cell,1
representing a fresh orange, or2
representing a rotten orange.
Every minute, any fresh orange that is 4-directionally adjacent to a rotten orange becomes rotten.
Return the minimum number of minutes that must elapse until no cell has a fresh orange. If this is impossible, return -1
.
Example 1:
Input: grid = [[2,1,1],[1,1,0],[0,1,1]] Output: 4
Example 2:
Input: grid = [[2,1,1],[0,1,1],[1,0,1]] Output: -1 Explanation: The orange in the bottom left corner (row 2, column 0) is never rotten, because rotting only happens 4-directionally.
Example 3:
Input: grid = [[0,2]] Output: 0 Explanation: Since there are already no fresh oranges at minute 0, the answer is just 0.
Constraints:
m == grid.length
n == grid[i].length
1 <= m, n <= 10
grid[i][j]
is0
,1
, or2
.
Companies:
Amazon, Microsoft, Oracle, Google, Apple, Facebook, Bloomberg, Walmart Labs, Samsung, VMware
Related Topics:
Array, Breadth-First Search, Matrix
Similar Questions:
// OJ: https://leetcode.com/problems/rotting-oranges/
// Author: github.com/lzl124631x
// Time: O(MN)
// Space: O(MN)
class Solution {
public:
int orangesRotting(vector<vector<int>>& A) {
queue<pair<int, int>> q;
int M = A.size(), N = A[0].size(), step = 0, dirs[4][2] = {{0,1},{0,-1},{1,0},{-1,0}};
for (int i = 0; i < M; ++i) {
for (int j = 0; j < N; ++j) {
if (A[i][j] == 2) q.emplace(i, j);
}
}
while (q.size()) {
for (int cnt = q.size(); cnt--;) {
auto [x, y] = q.front();
q.pop();
for (auto &[dx, dy] : dirs) {
int a = x + dx, b = y + dy;
if (a < 0 || a >= M || b < 0 || b >= N || A[a][b] != 1) continue;
A[a][b] = 2;
q.emplace(a, b);
}
}
step++;
}
for (auto &row : A) {
for (int x : row) {
if (x == 1) return -1;
}
}
return max(0, step - 1);
}
};