2225. Find Players With Zero or One Losses
Description
You are given an integer array matches where matches[i] = [winneri, loseri] indicates that the player winneri defeated player loseri in a match.
Return a list answer of size 2 where:
answer[0]is a list of all players that have not lost any matches.answer[1]is a list of all players that have lost exactly one match.
The values in the two lists should be returned in increasing order.
Note:
- You should only consider the players that have played at least one match.
- The testcases will be generated such that no two matches will have the same outcome.
Example 1:
Input: matches = [[1,3],[2,3],[3,6],[5,6],[5,7],[4,5],[4,8],[4,9],[10,4],[10,9]] Output: [[1,2,10],[4,5,7,8]] Explanation: Players 1, 2, and 10 have not lost any matches. Players 4, 5, 7, and 8 each have lost one match. Players 3, 6, and 9 each have lost two matches. Thus, answer[0] = [1,2,10] and answer[1] = [4,5,7,8].
Example 2:
Input: matches = [[2,3],[1,3],[5,4],[6,4]] Output: [[1,2,5,6],[]] Explanation: Players 1, 2, 5, and 6 have not lost any matches. Players 3 and 4 each have lost two matches. Thus, answer[0] = [1,2,5,6] and answer[1] = [].
Constraints:
1 <= matches.length <= 105matches[i].length == 21 <= winneri, loseri <= 105winneri != loseri- All
matches[i]are unique.
Solutions
Solution 1: Hash Table + Sorting
Thinking
We must list players who never lost and those who lost exactly once, each in increasing order. There are up to \(10^5\) matches, so scanning every possible id is wasteful. Only players who appear matter, and the only statistic is the loss count.
A hash map \(\textit{cnt}\) stores losses: a winner is inserted with \(0\) if new, a loser is incremented. After sorting by id, players with \(0\) or \(1\) loss go into the two answer lists.
We use a hash table cnt to record the number of matches each player has lost.
Then we traverse the hash table, put the players who lost 0 matches into ans[0], and put the players who lost 1 match into ans[1].
Finally, we sort ans[0] and ans[1] in ascending order and return the result.
The time complexity is \(O(n \times \log n)\), and the space complexity is \(O(n)\). Where \(n\) is the number of matches.
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