Problem
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 <= 1000
0 <= edges.length <= min(2000, n * (n - 1) / 2)
edges[i].length == 2
0 <= fromi, toi <= n - 1
fromi != toi
There are no duplicate edges.
The graph is directed and acyclic.
Solution
/**
* @param {number} n
* @param {number[][]} edges
* @return {number[][]}
*/
var getAncestors = function(n, edges) {
const parentMap = Array(n).fill(0).map(() => []);
const ancestorMap = Array(n);
for (var i = 0; i < edges.length; i++) {
parentMap[edges[i][1]].push(edges[i][0]);
}
for (var i = 0; i < n; i++) {
find(i, parentMap, ancestorMap);
}
return ancestorMap.map(item => item.sort((a, b) => a - b));
};
var find = function(i, parentMap, ancestorMap) {
if (!ancestorMap[i]) {
var res = [];
var arr = parentMap[i];
for (var j = 0; j < arr.length; j++) {
res.push(arr[j], ...find(arr[j], parentMap, ancestorMap));
}
ancestorMap[i] = Array.from(new Set(res));
}
return ancestorMap[i];
};
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).