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Java-based LeetCode algorithm problem solutions, regularly updated
package g0801_0900.s0802_find_eventual_safe_states;
// #Medium #Depth_First_Search #Breadth_First_Search #Graph #Topological_Sort
// #Graph_Theory_I_Day_9_Standard_Traversal #2022_03_23_Time_7_ms_(74.93%)_Space_71.1_MB_(44.58%)
import java.util.ArrayList;
import java.util.List;
/**
* 802 - Find Eventual Safe States\.
*
* Medium
*
* There is a directed graph of `n` nodes with each node labeled from `0` to `n - 1`. The graph is represented by a **0-indexed** 2D integer array `graph` where `graph[i]` is an integer array of nodes adjacent to node `i`, meaning there is an edge from node `i` to each node in `graph[i]`.
*
* A node is a **terminal node** if there are no outgoing edges. A node is a **safe node** if every possible path starting from that node leads to a **terminal node**.
*
* Return _an array containing all the **safe nodes** of the graph_. The answer should be sorted in **ascending** order.
*
* **Example 1:**
*
* ![Illustration of graph](https://s3-lc-upload.s3.amazonaws.com/uploads/2018/03/17/picture1.png)
*
* **Input:** graph = \[\[1,2],[2,3],[5],[0],[5],[],[]]
*
* **Output:** [2,4,5,6]
*
* **Explanation:** The given graph is shown above.
*
* Nodes 5 and 6 are terminal nodes as there are no outgoing edges from either of them.
*
* Every path starting at nodes 2, 4, 5, and 6 all lead to either node 5 or 6.
*
* **Example 2:**
*
* **Input:** graph = \[\[1,2,3,4],[1,2],[3,4],[0,4],[]]
*
* **Output:** [4]
*
* **Explanation:** Only node 4 is a terminal node, and every path starting at node 4 leads to node 4.
*
* **Constraints:**
*
* * `n == graph.length`
* * 1 <= n <= 104
* * `0 <= graph[i].length <= n`
* * `0 <= graph[i][j] <= n - 1`
* * `graph[i]` is sorted in a strictly increasing order.
* * The graph may contain self-loops.
* * The number of edges in the graph will be in the range [1, 4 * 104]
.
**/
public class Solution {
public List eventualSafeNodes(int[][] graph) {
List res = new ArrayList<>();
int[] vis = new int[graph.length];
for (int i = 0; i < graph.length; i++) {
if (dfs(graph, i, vis)) {
res.add(i);
}
}
return res;
}
private boolean dfs(int[][] graph, int src, int[] vis) {
if (vis[src] != 0) {
return vis[src] == 2;
}
vis[src] = 1;
for (int x : graph[src]) {
if (!dfs(graph, x, vis)) {
return false;
}
}
vis[src] = 2;
return true;
}
}
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