Escape the Spreading Fire

Escape the Spreading Fire - Problem

You are given a 0-indexed 2D integer array grid of size m x n which represents a field. Each cell has one of three values:

0 represents grass
1 represents fire
2 represents a wall that you and fire cannot pass through

You are situated in the top-left cell (0, 0), and you want to travel to the safehouse at the bottom-right cell (m - 1, n - 1). Every minute, you may move to an adjacent grass cell. After your move, every fire cell will spread to all adjacent cells that are not walls.

Return the maximum number of minutes that you can stay in your initial position before moving while still safely reaching the safehouse. If this is impossible, return -1. If you can always reach the safehouse regardless of the minutes stayed, return 10^9.

Note that even if the fire spreads to the safehouse immediately after you have reached it, it will be counted as safely reaching the safehouse.

A cell is adjacent to another cell if the former is directly north, east, south, or west of the latter (i.e., their sides are touching).

Input & Output

Example 1 — Basic Fire Spread

$ Input: grid = [[0,2,0,0,0,0,0],[0,0,0,2,2,1,0],[0,2,0,0,1,2,0],[0,0,2,2,2,0,2],[0,0,0,0,0,0,0]]

› Output: 3

💡 Note: We can wait 3 minutes before starting. Fire spreads each minute, but we can still find a safe path to reach (4,6) within the time limit.

Example 2 — Impossible Path

$ Input: grid = [[0,0,0,0],[0,1,2,0],[0,2,0,0]]

› Output: -1

💡 Note: There's no path from (0,0) to (2,3) that avoids both fire spread and walls, making escape impossible.

Example 3 — No Fire Threat

$ Input: grid = [[0,0,0],[2,2,0],[0,0,0]]

› Output: 1000000000

💡 Note: No fire exists in the grid, so we can wait indefinitely before moving to the safehouse.

Constraints

m == grid.length
n == grid[i].length
2 ≤ m, n ≤ 300
4 ≤ m × n ≤ 2 × 10⁴
grid[i][j] is either 0, 1, or 2
grid[0][0] == grid[m - 1][n - 1] == 0

Visualization

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Asked in

G Google 25 a Amazon 18 M Microsoft 12 f Facebook 8

The key insight is to use binary search on the answer space - if we can escape with delay T, we can escape with delay T-1. Best approach combines binary search with BFS simulation. Time: O(log(mn) × mn), Space: O(mn)

Common Approaches

✓ Memoization

⏱️ Time: N/A Space: N/A

Dp 1d

⏱️ Time: N/A Space: N/A

Binary Search on Answer

⏱️ Time: O(log(mn) × mn) Space: O(m × n)

Since if we can escape with delay T, we can escape with any delay < T, we can binary search on the answer. For each candidate delay, use BFS to check if escape is possible.

Brute Force Simulation

⏱️ Time: O(k × m × n) Space: O(m × n)

For each possible delay time, simulate the fire spreading and check if we can still reach the safehouse. This approach tests all delay times sequentially until we find the maximum valid one.

Algorithm Steps — Algorithm Steps

Code -

solution.c — C

Time & Space Complexity

Time Complexity

⏱️

⚡ Linearithmic

Space Complexity

⚡ Linearithmic Space

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Smart Actions

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