Find Players With Zero or One Losses — LeetCode 2225 Python Solution

MediumArrayHash TableCountingSorting
Problem
#2225
Pattern
Sorting
Reading time
2 min

The problem

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.

Example

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.

Python solution

Python
class Solution:
    def findWinners(self, matches: List[List[int]]) -> List[List[int]]:
        cnt = Counter()
        for winner, loser in matches:
            if winner not in cnt:
                cnt[winner] = 0
            cnt[loser] += 1
        ans = [[], []]
        for x, v in sorted(cnt.items()):
            if v < 2:
                ans[v].append(x)
        return ans

Complexity

MeasureComplexity
TimeO(n \times \log n)
SpaceO(n) auxiliary

Pattern: Sorting

Spend O(n log n) once to buy an ordering that makes the rest of the problem trivial. LeetCode 2225. Find Players With Zero or One Losses is filed here because LeetCode tags it Sorting, which is the vocabulary this hub collects.

The sorting guide has the Python template for the pattern and the 401 LeetCode problems that use it.

Related problems

Frequently asked questions

How hard is LeetCode 2225. Find Players With Zero or One Losses?
LeetCode 2225. Find Players With Zero or One Losses is rated Medium on LeetCode.
What is the time complexity of LeetCode 2225. Find Players With Zero or One Losses?
The Python solution on this page runs in O(n \times \log n).
What is the space complexity of LeetCode 2225. Find Players With Zero or One Losses?
The Python solution on this page uses O(n) auxiliary space.
What topics does LeetCode 2225. Find Players With Zero or One Losses cover?
LeetCode 2225. Find Players With Zero or One Losses is tagged Array, Hash Table, Counting and Sorting on LeetCode.

Stuck on problems like this in a live interview?

Stealth Interview is a desktop app for macOS and Windows. It reads the problem off your screen and returns a working solution with a step-by-step explanation and its time and space complexity — invisible to screen sharing.

Get Stealth Interview