文章作者:Tyan
博客:noahsnail.com | CSDN |
1. Description
2. Solution
解析:Version 1,如果起始点为1
,直接返回-1
,否则,使用广度优先搜索,使用grid[i][j]=1
来表示访问过的点,从左上角开始,遍历满足条件的8
个方向上的点,并将其坐标以及当前的长度保存到队列中,并将其值置为1
,即已经访问过该点。第一次访问到右下角点时即为最短距离。
- Version 1
class Solution:
def shortestPathBinaryMatrix(self, grid: List[List[int]]) -> int:
if grid[0][0] == 1:
return -1
n = len(grid)
queue = collections.deque()
queue.append((0, 0, 1))
while queue:
i, j, count = queue.popleft()
if i == n - 1 and j == n - 1:
return count
count += 1
if i > 0 and j > 0 and grid[i-1][j-1] == 0:
grid[i-1][j-1] = 1
queue.append((i-1, j-1, count))
if i > 0 and grid[i-1][j] == 0:
grid[i-1][j] = 1
queue.append((i-1, j, count))
if i > 0 and j < n-1 and grid[i-1][j+1] == 0:
grid[i-1][j+1] = 1
queue.append((i-1, j+1, count))
if j > 0 and grid[i][j-1] == 0:
grid[i][j-1] = 1
queue.append((i, j-1, count))
if j < n-1 and grid[i][j+1] == 0:
grid[i][j+1] = 1
queue.append((i, j+1, count))
if i < n-1 and j > 0 and grid[i+1][j-1] == 0:
grid[i+1][j-1] = 1
queue.append((i+1, j-1, count))
if i < n-1 and grid[i+1][j] == 0:
grid[i+1][j] = 1
queue.append((i+1, j, count))
if i < n-1 and j < n-1 and grid[i+1][j+1] == 0:
grid[i+1][j+1] = 1
queue.append((i+1, j+1, count))
return -1
Reference
- https://leetcode.com/problems/shortest-path-in-binary-matrix/