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 <= 50000 <= persons[i] <= persons.lengthtimesis a strictly increasing array with all elements in[0, 10^9].TopVotedCandidate.qis called at most10000times per test case.TopVotedCandidate.q(int t)is always called witht >= times[0].
预先生成好答案。调用q的时候用binary search。这里简单一点用treemap来作个弊
constructor O(n), q O(lg n)
class TopVotedCandidate {
private TreeMap<Integer, Integer> winners;
public TopVotedCandidate(int[] persons, int[] times) {
winners = new TreeMap<>();
Map<Integer, Integer> personToVotes = new HashMap<>();
int winner = -1;
personToVotes.put(winner, 0);
for (int i = 0; i < persons.length; i++) {
int p = persons[i];
personToVotes.put(p, personToVotes.getOrDefault(p, 0) + 1);
if (personToVotes.get(p) >= personToVotes.get(winner)) {
winner = p;
}
winners.put(times[i], winner);
}
}
public int q(int t) {
return winners.floorEntry(t).getValue();
}
}
/**
* Your TopVotedCandidate object will be instantiated and called as such:
* TopVotedCandidate obj = new TopVotedCandidate(persons, times);
* int param_1 = obj.q(t);
*/
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