Description
You are given an m x n grid rooms initialized with these three possible values.
- -1 A wall or an obstacle.
- 0 A gate.
- 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 1:
Input: rooms = [[2147483647,-1,0,2147483647],[2147483647,2147483647,2147483647,-1],[2147483647,-1,2147483647,-1],[0,-1,2147483647,2147483647]]
Output: [[3,-1,0,1],[2,2,1,-1],[1,-1,2,-1],[0,-1,3,4]]
Example 2:
Input: rooms = [[-1]]
Output: [[-1]]
Constraints:
m == rooms.length
n == rooms[i].length
1 <= m, n <= 250
rooms[i][j] is -1, 0, or 2^31 - 1.
Solution
Bellman-ford algorithm, update until there is no update.
Time complexity: o ( n 2 ) o(n^2) o(n2)?
Space complexity: o ( n 2 ) o(n^2) o(n2)
Code
class Solution:
def wallsAndGates(self, rooms: List[List[int]]) -> None:
"""
Do not return anything, modify rooms in-place instead.
"""
queue = collections.deque([])
room_cnt, room_distance = 0, {}
m, n = len(rooms), len(rooms[0])
for i in range(m):
for j in range(n):
if rooms[i][j] == 0:
queue.append((i, j, 0))
elif rooms[i][j] == 2147483647:
room_cnt += 1
room_distance[(i, j)] = 2147483647
while queue:
x, y, dis = queue.popleft()
if rooms[x][y] == 0 and dis > 0:
continue
if (x, y) in room_distance:
if room_distance[(x, y)] > dis:
room_distance[(x, y)] = dis
else:
continue
for dz in (-1, 1):
if 0 <= x + dz < m and rooms[x + dz][y] != -1:
queue.append((x + dz, y, dis + 1))
if 0 <= y + dz < n and rooms[x][y + dz] != -1:
queue.append((x, y + dz, dis + 1))
for (x, y), dis in room_distance.items():
if dis != 2147483647:
rooms[x][y] = dis