You are given a positive integer n representing the number of nodes of a Directed Acyclic Graph (DAG). The nodes are numbered from 0 to n - 1 (inclusive).
You are also given a 2D integer array edges, where edges[i] = [fromi, toi] denotes that there is a unidirectional edge from fromi to toi in the graph.
Return a list answer, where answer[i] is the list of ancestors of the ith node, sorted in ascending order.
A node u is an ancestor of another node v if u can reach v via a set of edges.
Example 1:
Input: n = 8, edgeList = [[0,3],[0,4],[1,3],[2,4],[2,7],[3,5],[3,6],[3,7],[4,6]] Output: [[],[],[],[0,1],[0,2],[0,1,3],[0,1,2,3,4],[0,1,2,3]] Explanation: The above diagram represents the input graph. - Nodes 0, 1, and 2 do not have any ancestors. - Node 3 has two ancestors 0 and 1. - Node 4 has two ancestors 0 and 2. - Node 5 has three ancestors 0, 1, and 3. - Node 6 has five ancestors 0, 1, 2, 3, and 4. - Node 7 has four ancestors 0, 1, 2, and 3.
Example 2:
Input: n = 5, edgeList = [[0,1],[0,2],[0,3],[0,4],[1,2],[1,3],[1,4],[2,3],[2,4],[3,4]] Output: [[],[0],[0,1],[0,1,2],[0,1,2,3]] Explanation: The above diagram represents the input graph. - Node 0 does not have any ancestor. - Node 1 has one ancestor 0. - Node 2 has two ancestors 0 and 1. - Node 3 has three ancestors 0, 1, and 2. - Node 4 has four ancestors 0, 1, 2, and 3.
Constraints:
1 <= n <= 10000 <= edges.length <= min(2000, n * (n - 1) / 2)edges[i].length == 20 <= fromi, toi <= n - 1fromi != toiclass Solution {
public List<List<Integer>> getAncestors(int n, int[][] edges) {
Set<Integer>[] ancestors = new TreeSet[n];
Queue<Integer> processed = new LinkedList<>();
for(int i=0; i<n; i++)
ancestors[i] = new TreeSet<>();
for(int[] e: edges)
ancestors[e[1]].add(e[0]);
for(int i=0; i<n; i++)
if(ancestors[i].isEmpty())
processed.add(i);
while(!processed.isEmpty()){
// System.out.println(processed.toString());
int p = processed.poll();
for(int i=0; i<n; i++){
if(ancestors[i].contains(p)){
ancestors[i].addAll(ancestors[p]);
processed.add(i);
}
}
}
return Arrays.stream(ancestors).map(ArrayList::new).collect(Collectors.toList());
}
}