In an election, the i
-th vote was cast for persons[i]
at time times[i]
.
Now, we would like to implement the following query function: TopVotedCandidate.q(int t)
will return the number of the person that was leading the election at time t
.
Votes cast at time t
will count towards our query. In the case of a tie, the most recent vote (among tied candidates) wins.
Example 1:
Input: ["TopVotedCandidate","q","q","q","q","q","q"], [[[0,1,1,0,0,1,0],[0,5,10,15,20,25,30]],[3],[12],[25],[15],[24],[8]] Output: [null,0,1,1,0,0,1] Explanation: At time 3, the votes are [0], and 0 is leading. At time 12, the votes are [0,1,1], and 1 is leading. At time 25, the votes are [0,1,1,0,0,1], and 1 is leading (as ties go to the most recent vote.) This continues for 3 more queries at time 15, 24, and 8.
Note:
1 <= persons.length = times.length <= 5000
0 <= persons[i] <= persons.length
times
is a strictly increasing array with all elements in[0, 10^9]
.TopVotedCandidate.q
is called at most10000
times per test case.TopVotedCandidate.q(int t)
is always called witht >= times[0]
.
// OJ: https://leetcode.com/problems/online-election/
// Author: github.com/lzl124631x
// Time:
// TopVotedCandidate: O(N)
// q: O(logN)
// Space: O(N)
class TopVotedCandidate {
private:
vector<int> winners;
vector<int> times;
public:
TopVotedCandidate(vector<int> persons, vector<int> times): times(times) {
unordered_map<int, int> m;
int winner = 0;
for (int p : persons) {
m[p]++;
if (m[p] >= m[winner]) winner = p;
winners.push_back(winner);
}
}
int q(int t) {
int n = upper_bound(times.begin(), times.end(), t) - times.begin();
return winners[n - 1];
}
};