Rotting Oranges
LeetCode August - Day 9
Problem Statement
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],[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 2:
Input: [[0,2]]
Output: 0
Explanation: Since there are already no fresh oranges at minute 0, the answer is just 0.
Note:
1 <= grid.length <= 10
1 <= grid[0].length <= 10
grid[i][j] is only 0, 1, or 2.
Inputs, Outputs, Constraints & Exceptions
- I: number[][]
- O: number
- C: - grid.length in range [1, 10]
- grid[0] length in range [1, 10]
- values are either {0, 1, 2}
- E: - grid is 1x1
- grid is empty
- grid is all rotten
- grid is all non-rotten
- input where it is impossible for all oranges to rot
Code
/**
* @param {number[][]} grid
* @return {number}
*/
function orangesRotting(grid) {
const q = []
let count = 0
let prev = grid.toString()
for(let i = 0; i < grid.length; i++){
for(let j = 0; j < grid[0].length; j++){
let cell = grid[i][j]
if(cell === 1){
q.push([i, j]);
}
}
}
const willRot = (r, c) => {
const adjCells = [
[r + 1,c],
[r - 1,c],
[r,c + 1],
[r,c - 1]
]
for(let [i, j] of adjCells){
if(grid[i]?.[j] === 2) return true;
}
return false
}
while(q.length){
const qlen = q.length
const rottingCells = []
for(let i = 0; i < qlen; i++){
const cell = q.shift()
if(willRot(cell[0], cell[1])){
rottingCells.push(cell)
} else {
q.push(cell)
}
}
for(let c of rottingCells){
grid[c[0]][c[1]] = 2
}
const curr = grid.toString()
if(curr === prev) return -1;
prev = curr
count++
}
return count
};
Time complexity: O(n)
- where n is the number of cells in the grid
Space complexity: O(n)