# # 【LeetCode】802. Find Eventual Safe States 解题报告（Python）

## # 题目描述：

In a directed graph, we start at some node and every turn, walk along a directed edge of the graph. If we reach a node that is terminal (that is, it has no outgoing directed edges), we stop.

Now, say our starting node is eventually safe if and only if we must eventually walk to a terminal node. More specifically, there exists a natural number K so that for any choice of where to walk, we must have stopped at a terminal node in less than K steps.

Which nodes are eventually safe? Return them as an array in sorted order.

The directed graph has N nodes with labels 0, 1, ..., N-1, where N is the length of graph. The graph is given in the following form: graph[i] is a list of labels j such that (i, j) is a directed edge of the graph.

Example:

``````Input: graph = [[1,2],[2,3],[5],[0],[5],[],[]]
Output: [2,4,5,6]
Here is a diagram of the above graph.
``````

Note:

1. graph will have length at most 10000.
2. The number of edges in the graph will not exceed 32000.
3. Each graph[i] will be a sorted list of different integers, chosen within the range [0, graph.length - 1].

## # 解题方法

dfs函数的含义就是返回start节点是否是安全，如果是，返回True。

``````class Solution(object):
def eventualSafeNodes(self, graph):
"""
:type graph: List[List[int]]
:rtype: List[int]
"""
#color[i], 0 means not visited. 1 means safe. 2 means unsafe.
color = [0] * len(graph)
res = []
for start in range(len(graph)):
if self.dfs(graph, start, color):
res.append(start)
res.sort()
return res

def dfs(self, graph, start, color):
# 返回start节点是否是安全，如果是，返回True
if color[start] != 0:
return color[start] == 1
color[start] = 2
for e in graph[start]:
if not self.dfs(graph, e, color):
return False
color[start] = 1
return True
``````

https://leetcode.com/problems/find-eventual-safe-states/discuss/119871/Straightforward-Java-solution-easy-to-understand!

## # 日期

2018 年 9 月 17 日 —— 早上很凉，夜里更凉