Problem
There are n
teams numbered from 0
to n - 1
in a tournament; each team is also a node in a DAG.
You are given the integer n
and a 0-indexed 2D integer array edges
of length m
representing the DAG , where edges[i] = [ui, vi]
indicates
that there is a directed edge from team ui
to team vi
in the graph.
A directed edge from a
to b
in the graph means that team a
is stronger than team b
and team b
is weaker than team a
.
Team a
will be the champion of the tournament if there is no team b
that is stronger than team a
.
Return _the team that will be thechampion of the tournament if there is a unique champion, otherwise, return _-1
.
Notes
- A cycle is a series of nodes
a1, a2, ..., an, an+1
such that nodea1
is the same node as nodean+1
, the nodesa1, a2, ..., an
are distinct, and there is a directed edge from the nodeai
to nodeai+1
for everyi
in the range[1, n]
. - A DAG is a directed graph that does not have any cycle.
Examples
Example 1:
graph TB; 0 --> 1 1 --> 2
Input: n = 3, edges = [[0,1],[1,2]]
Output: 0
Explanation: Team 1 is weaker than team 0. Team 2 is weaker than team 1. So the champion is team 0.
Example 2:
graph TB; 0 --> 2 1 --> 2 1 --> 3
Input: n = 4, edges = [[0,2],[1,3],[1,2]]
Output: -1
Explanation: Team 2 is weaker than team 0 and team 1. Team 3 is weaker than team 1. But team 1 and team 0 are not weaker than any other teams. So the answer is -1.
Constraints:
1 <= n <= 100
m == edges.length
0 <= m <= n * (n - 1) / 2
edges[i].length == 2
0 <= edge[i][j] <= n - 1
edges[i][0] != edges[i][1]
- The input is generated such that if team
a
is stronger than teamb
, teamb
is not stronger than teama
. - The input is generated such that if team
a
is stronger than teamb
and teamb
is stronger than teamc
, then teama
is stronger than teamc
.
Solution
Method 1 - Using indegrees
Here is the approach:
- Understanding the Problem:
- Each team is a node in a Directed Acyclic Graph (DAG).
- A directed edge from node
a
to nodeb
indicates teama
is stronger than teamb
.
- Goal:
- Determine if there is a unique champion i.e., a node with no incoming edges except itself.
- Plan:
- Initialize an array to track the in-degree of each node.
- Traverse the graph and compute the in-degree for each node.
- Check for nodes with zero in-degree. There should be exactly one such node for a unique champion.
Code
Java
class Solution {
public int findChampion(int n, int[][] edges) {
int[] inDegree = new int[n];
// Calculate in-degrees
for (int[] edge : edges) {
inDegree[edge[1]]++;
}
int champion = -1;
// Look for the node with in-degree 0
for (int i = 0; i < n; i++) {
if (inDegree[i] == 0) {
if (champion == -1) {
champion = i;
} else {
// More than one node with in-degree 0
return -1;
}
}
}
return champion;
}
}
Python
class Solution:
def findChampion(self, n: int, edges: List[List[int]]) -> int:
in_degree: List[int] = [0] * n
# Calculate in-degrees
for edge in edges:
in_degree[edge[1]] += 1
champion: int = -1
# Look for the node with in-degree 0
for i in range(n):
if in_degree[i] == 0:
if champion == -1:
champion = i
else:
# More than one node with in-degree 0
return -1
return champion
Complexity
- ⏰ Time complexity:
O(n + m)
O(n)
for initializing the array.O(m)
for traversing the edges.
- 🧺 Space complexity:
O(n)
for the in-degree array.