Description
Design a Leaderboard class, which has 3 functions:
addScore(playerId, score): Update the leaderboard by addingscoreto the given player's score. If there is no player with such id in the leaderboard, add him to the leaderboard with the givenscore.top(K): Return the score sum of the topKplayers.reset(playerId): Reset the score of the player with the given id to 0 (in other words erase it from the leaderboard). It is guaranteed that the player was added to the leaderboard before calling this function.
Initially, the leaderboard is empty.
Example 1:
Input: ["Leaderboard","addScore","addScore","addScore","addScore","addScore","top","reset","reset","addScore","top"] [[],[1,73],[2,56],[3,39],[4,51],[5,4],[1],[1],[2],[2,51],[3]] Output: [null,null,null,null,null,null,73,null,null,null,141] Explanation: Leaderboard leaderboard = new Leaderboard (); leaderboard.addScore(1,73); // leaderboard = [[1,73]]; leaderboard.addScore(2,56); // leaderboard = [[1,73],[2,56]]; leaderboard.addScore(3,39); // leaderboard = [[1,73],[2,56],[3,39]]; leaderboard.addScore(4,51); // leaderboard = [[1,73],[2,56],[3,39],[4,51]]; leaderboard.addScore(5,4); // leaderboard = [[1,73],[2,56],[3,39],[4,51],[5,4]]; leaderboard.top(1); // returns 73; leaderboard.reset(1); // leaderboard = [[2,56],[3,39],[4,51],[5,4]]; leaderboard.reset(2); // leaderboard = [[3,39],[4,51],[5,4]]; leaderboard.addScore(2,51); // leaderboard = [[2,51],[3,39],[4,51],[5,4]]; leaderboard.top(3); // returns 141 = 51 + 51 + 39;
Constraints:
1 <= playerId, K <= 10000- It's guaranteed that
Kis less than or equal to the current number of players. 1 <= score <= 100- There will be at most
1000function calls.
Solutions
Solution 1: Hash Table + Ordered List
We use a hash table d to record the scores of each player, and an ordered list rank to record the scores of all players.
When the addScore function is called, we first check if the player is in the hash table d. If not, we add their score to the ordered list rank. Otherwise, we first remove their score from the ordered list rank, then add their updated score to the ordered list rank, and finally update the score in the hash table d. The time complexity is O(log n).
When the top function is called, we directly return the sum of the first K elements in the ordered list rank. The time complexity is O(K × log n).
When the reset function is called, we first remove the player from the hash table d, then remove their score from the ordered list rank. The time complexity is O(log n).
The space complexity is O(n), where n is the number of players.
class Leaderboard: def __init__(self): self.d = defaultdict(int) self.rank = SortedList() def addScore(self, playerId: int, score: int) -> None: if playerId not in self.d: self.d[playerId] = score self.rank.add(score) else: self.rank.remove(self.d[playerId]) self.d[playerId] += score self.rank.add(self.d[playerId]) def top(self, K: int) -> int: return sum(self.rank[-K:]) def reset(self, playerId: int) -> None: self.rank.remove(self.d.pop(playerId)) # Your Leaderboard object will be instantiated and called as such: # obj = Leaderboard() # obj.addScore(playerId,score) # param_2 = obj.top(K) # obj.reset(playerId)(code-box)
