All Paths from Source Lead to Destination

Given the edges of a directed graph, and two nodes source and destination of this graph, determine whether or not all paths starting from source eventually end at destination, 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.

Return true if and only if all roads from source lead to destination.

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.

Example 3:

Input: n = 4, edges = [[0,1],[0,2],[1,3],[2,3]], source = 0, destination = 3
Output: true

Example 4:

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:

  1. The given graph may have self-loops and parallel edges.

  2. The number of nodes n in the graph is between 1 and 10000

  3. The number of edges in the graph is between 0 and 10000

  4. 0 <= edges.length <= 10000

  5. edges[i].length == 2

  6. 0 <= source <= n - 1

  7. 0 <= destination <= n - 1

public class PathsFromSourceToDest {
    public boolean leadsToDestination(int n, int[][] edges, int source, int destination) {
        // Creating graph
        List<Integer>[] graph = new ArrayList[n];
        for (int i = 0; i < n; i++)
            graph[i] = new ArrayList<>();
        for (int[] edge : edges)
            graph[edge[0]].add(edge[1]);
        // BFS
        boolean[] visited = new boolean[n];
        Queue<Integer> q = new LinkedList<>();
        q.add(source);
        while (!q.isEmpty()) {
            int node = q.poll();
            if (node == destination) {
                // The destination node should not have any outgoing edges
                // to be considered valid
                if (graph[node].size() != 0)
                    return false;
            }
            visited[node] = true;
            // If the current node is dead end, but not destination
            // Then asnwer is false. because we need All want to check whether all the paths
            // from source lead to ONLY destination
            if (graph[node].size() == 0)
                return false;

            for (int neighbor : graph[node]) {
                // Make sure that no cycles are forming,
                // because that will return in infinite paths
                if (!visited[neighbor])
                    q.add(next);
                else
                    return false;
            }
        }
        return true;
    }
}

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