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Rotting oranges question

In a given grid, each cell can have one of three values:

  • the value 0 representing an empty cell;
  • the value 1 representing a fresh orange;
  • the value 2 representing a rotten orange.

Every minute, any fresh orange that is adjacent (4-directionally) 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 instead.

 

Example 1:

Input: [[2,1,1],[1,1,0],[0,1,1]]
Output: 4

Example 2:

Input: [[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: [[0,2]]
Output: 0
Explanation:  Since there are already no fresh oranges at minute 0, the answer is just 0.

 

Note:

  1. 1 <= grid.length <= 10
  2. 1 <= grid[0].length <= 10
  3. grid[i][j] is only 0, 1, or 2.


Answer:

Here's a code snippet to help you out.

class Solution {
int[] dr = new int[]{-1, 0, 1, 0};
int[] dc = new int[]{0, -1, 0, 1};

public int orangesRotting(int[][] grid) {
int R = grid.length, C = grid[0].length;
// queue : all starting cells with rotten oranges
Queue queue = new ArrayDeque();
Map depth = new HashMap();
for (int r = 0; r < R; ++r)
for (int c = 0; c < C; ++c)
if (grid[r][c] == 2) {
int code = r * C + c;
queue.add(code);
depth.put(code, 0);
}

int ans = 0;
while (!queue.isEmpty()) {
int code = queue.remove();
int r = code / C, c = code % C;
for (int k = 0; k < 4; ++k) {
int nr = r + dr[k];
int nc = c + dc[k];
if (0 <= nr && nr < R && 0 <= nc && nc < C && grid[nr][nc] == 1) {
grid[nr][nc] = 2;
int ncode = nr * C + nc;
queue.add(ncode);
depth.put(ncode, depth.get(code) + 1);
ans = depth.get(ncode);
}
}
}

for (int[] row: grid)
for (int v: row)
if (v == 1)
return -1;
return ans;

}
}

Complexity Analysis