package LeetCode_286
import java.util.*
/**
* 286. Walls and Gates
* (Prime)
*
* You are given a m x n 2D grid initialized with these three possible values.
1. -1 - A wall or an obstacle.
2. 0 - A gate.
3. INF - Infinity means an empty room.
We use the value 231 - 1 = 2147483647 to represent INF as you may assume that the distance to a gate is less than 2147483647.
Fill each empty room with the distance to its nearest gate. If it is impossible to reach a gate, it should be filled with INF.
Example:
Given the 2D grid:
INF -1 0 INF
INF INF INF -1
INF -1 INF -1
0 -1 INF INF
After running your function, the 2D grid should be:
3 -1 0 1
2 2 1 -1
1 -1 2 -1
0 -1 3 4
* */
class Solution {
/*
* Solution 1: DFS, Time complexity:O(m^2*n^2), Space complexity:O(4^n)
* Solution 2: BFS, Time complexity:O(mn), Space complexity:O(mn)
* */
fun fillEmptyRoom(grid: Array<IntArray>) {
val m = grid.size
val n = grid[0].size
for (i in 0 until m) {
for (j in 0 until n) {
//start bfs from where is a gate
if (grid[i][j] == 0) {
bfs(Pair(i, j), grid)
}
}
}
}
private fun bfs(pair: Pair<Int, Int>, grid: Array<IntArray>) {
val directions = intArrayOf(0, 1, 0, -1, 0)
val queue = LinkedList<Pair<Int, Int>>()
queue.offer(pair)
while (queue.isNotEmpty()) {
val cur = queue.pop()
//expand 4 directions
for (i in 0 until 4) {
val x = cur.first + directions[i]
val y = cur.second + directions[i + 1]
//return when reach gate,wall,or confirm min distance
if (x < 0 || x >= grid.size || y < 0 || y >= grid[0].size || grid[x][y] < grid[cur.first][cur.second] + 1) {
continue
}
//update new count
grid[x][y] = grid[cur.first][cur.second] + 1
queue.offer(Pair(x, y))
}
}
}
}