Rotting Oranges Problem Statement

You are given a grid containing oranges where each cell of the grid can contain one of the three integer values:

0 - representing an empty cell

1 - representing a fresh orange

2 - representing a rotten orange

Every second, any fresh orange that is adjacent (4-directionally) to a rotten orange becomes rotten. Your task is to find the minimum time required after which no cell contains a fresh orange. If it is impossible to rot all the fresh oranges, return -1.

Note:

1. The grid is 0-based indexed. 2. A rotten orange can affect adjacent oranges 4 directionally, i.e., Up, Down, Left, Right.

Example:

Input:

N = 3, M = 3 grid = [ [2, 1, 1], [1, 1, 0], [0, 1, 1] ]

Output:

4

Explanation:

After 4 seconds, all fresh oranges become rotten.

Constraints:

1

Question

Rotting Oranges Problem Statement

You are given a grid containing oranges where each cell of the grid can contain one of the three integer values:

0 - representing an empty cell
1 - representing a fresh orange
2 - representing a rotten orange

Every second, any fresh orange that is adjacent (4-directionally) to a rotten orange becomes rotten. Your task is to find the minimum time required after which no cell contains a fresh orange. If it is impossible to rot all the fresh oranges, return -1.

Note:

1. The grid is 0-based indexed.
2. A rotten orange can affect adjacent oranges 4 directionally, i.e., Up, Down, Left, Right.

Example:

Input:

N = 3, M = 3
grid = [
  [2, 1, 1],
  [1, 1, 0],
  [0, 1, 1]
]

Output:

Explanation:

After 4 seconds, all fresh oranges become rotten.

Constraints:

1 <= N <= 500
1 <= M <= 500
0 <= grid[i][j] <= 2
Time Limit: 1 sec

Accepted Answer

Find the minimum time required to rot all fresh oranges in a grid.

Use Breadth First Search (BFS) to simulate the rotting process.
Track the time taken to rot all oranges and return the result.
Handle edge cases like no fresh oranges or unreachable fresh oranges.
Consider using a queue to efficiently process adjacent oranges.