Given theedgesof a directed graph, and two nodessourceanddestinationof this graph, determine whether or not all paths starting fromsourceeventually end atdestination, that is:
At least one path exists from the
source
node to the
destination
node
If a path exists from the
source
node to a node with no outgoing edges, then that node is equal to
destination
.
The number of possible paths from
source
to
destination
is a finite number.
Returntrueif and only if all roads fromsourcelead todestination.
Example 1:
Input:
n = 3, edges =
[[0,1],[0,2]]
, source =
0
, destination = 2
Output:
false
Explanation:
It is possible to reach and get stuck on both node 1 and node 2.
Example 2:
Input:
n =
4
, edges =
[[0,1],[0,3],[1,2],[2,1]]
, source =
0
, destination =
3
Output:
false
Explanation:
We have two possibilities: to end at node 3, or to loop over node 1 and node 2 indefinitely.
Input:
n =
3
, edges =
[[0,1],[1,1],[1,2]]
, source =
0
, destination =
2
Output:
false
Explanation:
All paths from the source node end at the destination node, but there are an infinite number of paths, such as 0-1-2, 0-1-1-2, 0-1-1-1-2, 0-1-1-1-1-2, and so on.
Example 5:
Input:
n =
2
, edges =
[[0,1],[1,1]]
, source =
0
, destination =
1
Output:
false
Explanation:
There is infinite self-loop at destination node.
Note:
The given graph may have self loops and parallel edges.
The number of nodes n in the graph is between 1 and 10000
The number of edges in the graph is between 0 and 10000
0 <= edges.length <= 10000
edges[i].length == 2
0 <= source <= n - 1
0 <= destination <= n - 1
分析
一条道带一个path(set), 在子dfs前加入,loop完了去掉。有回溯
不是起点也不是终点,返错,要不继续往下探索
class Solution:
def leadsToDestination(self, n: int, edges: List[List[int]], source: int, destination: int) -> bool:
g = {}
for a,b in edges:
g.setdefault(a,[]).append(b)
if destination in g:
return False
def dfs(root,path):
if root not in g:
return root == destination
path.add(root)
for n in g[root]:
if n in path or not dfs(n,path):
return False
path.remove(root)
return True
return dfs(source,set())
。