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LeetCode 797, Medium. Topics: Backtracking, Depth-First Search, Breadth-First Search, Graph Theory, Directed Acyclic Graph. View on LeetCode. Generate this problem as a practice environment: tested reference solution, 34 parametrized pytest cases, and a playground notebook:

Problem

Given a directed acyclic graph (DAG) of n nodes labeled from 0 to n - 1, find all possible paths from node 0 to node n - 1 and return them in any order. The graph is given as follows: graph[i] is a list of all nodes you can visit from node i (i.e., there is a directed edge from node i to node graph[i][j]).

Examples

Example 1
Explanation: There are two paths: 0 -> 1 -> 3 and 0 -> 2 -> 3. Example 2

Constraints

  • n == graph.length
  • 2 <= n <= 15
  • 0 <= graph[i][j] < n
  • graph[i][j] != i (i.e., there will be no self-loops).
  • All the elements of graph[i] are unique.
  • The input graph is guaranteed to be a DAG.

Solution

Reference implementation from solution.py on GitHub, full suite in test_solution.py:

Complexity

Tags

Last modified on September 7, 2026