Find Eventual Safe States
Find Eventual Safe States is a Medium Data Structures and Algorithms interview problem you can solve, run and submit on Thita.ai. It belongs to the Graph Traversal Patterns (DFS & BFS) pattern, in the Graph DFS - Cycle Detection (Directed Graph) subpattern.
Problem statement
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 (or another safe node).
Return an array containing all the safe nodes of the graph. The answer should be sorted in ascending order.
Example 1:
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].
Topics and companies
Topics: Depth-First Search, Breadth-First Search, Graph, Topological Sort.
Reported in interviews at Amazon.
How to practise Find Eventual Safe States on Thita.ai
Starter code is provided in C, C#, C++, Go, Java, JavaScript and Python. Your solution runs against 5 test cases for this problem, with the AI coach available for a hint when you are stuck rather than a finished answer. The reference solution runs in O(|V| + |E|) time and O(|V|) space.
Open Find Eventual Safe States in the code editor, or read the Find Eventual Safe States editorial for a worked solution with its approach and complexity analysis.
Where Find Eventual Safe States sits in the DSA pattern sheet
- Graph Traversal Patterns (DFS & BFS) pattern guide
- Graph DFS - Cycle Detection (Directed Graph) subpattern
- The full DSA patterns sheet
- All coding practice problems
Problems related to Find Eventual Safe States
Other problems that use the same Graph DFS - Cycle Detection (Directed Graph) and Graph Traversal Patterns (DFS & BFS) techniques:
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- Alien Dictionary — Hard, same pattern
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