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WallsAndGates.py
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45 lines (42 loc) · 1.49 KB
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# 286. Walls and Gates
# You are given a m x n 2D grid 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.
#
# For 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:
# 运用dfs,遍历所有gate,以0为出发点向四周搜索,搜索到的点grid更新为grid与dist的最小值
def wallsAndGates(self, grid):
"""
:type grid: list[list[int]]
:rtype: void
"""
if not grid or not grid[0]:
return
self.m, self.n = len(grid), len(grid[0])
for i in range(self.m):
for j in range(self.n):
if grid[i][j] == 0:
self.dfs(i, j, grid, 0)
def dfs(self, x, y, grid, dist):
if x < 0 or x >= self.m or y < 0 or y >= self.n:
return
if grid[x][y] > 0:
grid[x][y] = min(dist, grid[x][y])
self.dfs(x-1, y, grid, dist+1)
self.dfs(x+1, y, grid, dist+1)
self.dfs(x, y-1, grid, dist+1)
self.dfs(x, y+1, grid, dist+1)