在选举中,第 i
张票是在时间为 times[i]
时投给 persons[i]
的。
现在,我们想要实现下面的查询函数: TopVotedCandidate.q(int t)
将返回在 t
时刻主导选举的候选人的编号。
在 t
时刻投出的选票也将被计入我们的查询之中。在平局的情况下,最近获得投票的候选人将会获胜。
输入: ["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]] 输出: [null,0,1,1,0,0,1] 解释: 时间为 3,票数分布情况是 [0],编号为 0 的候选人领先。 时间为 12,票数分布情况是 [0,1,1],编号为 1 的候选人领先。 时间为 25,票数分布情况是 [0,1,1,0,0,1],编号为 1 的候选人领先(因为最近的投票结果是平局)。 在时间 15、24 和 8 处继续执行 3 个查询。
1 <= persons.length = times.length <= 5000
0 <= persons[i] <= persons.length
times
是严格递增的数组,所有元素都在[0, 10^9]
范围中。- 每个测试用例最多调用
10000
次TopVotedCandidate.q
。 TopVotedCandidate.q(int t)
被调用时总是满足t >= times[0]
。
use std::collections::HashMap;
struct TopVotedCandidate {
winners: Vec<(i32, i32)>,
}
/**
* `&self` means the method takes an immutable reference.
* If you need a mutable reference, change it to `&mut self` instead.
*/
impl TopVotedCandidate {
fn new(persons: Vec<i32>, times: Vec<i32>) -> Self {
let mut counter = HashMap::new();
let mut max = 0;
let mut winner = 0;
let mut winners = vec![];
for (p, t) in persons.into_iter().zip(times.into_iter()) {
let c = counter.entry(p).or_insert(0);
*c += 1;
if *c >= max {
max = *c;
winner = p;
}
winners.push((t, winner));
}
Self { winners }
}
fn q(&self, t: i32) -> i32 {
match self.winners.binary_search_by_key(&t, |&(time, _)| time) {
Ok(i) => self.winners[i].1,
Err(i) => self.winners[i - 1].1,
}
}
}
/**
* Your TopVotedCandidate object will be instantiated and called as such:
* let obj = TopVotedCandidate::new(persons, times);
* let ret_1: i32 = obj.q(t);
*/