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➤微信公众号:山青咏芝(shanqingyongzhi)
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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]
.
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。
示例:
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。
提示:
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]
。
1 class TopVotedCandidate { 2 var m:[Int:Int] = [Int:Int]() 3 var time:[Int] 4 5 init(_ persons: [Int], _ times: [Int]) { 6 self.time = times 7 var n:Int = persons.count 8 var lead:Int = -1 9 var count:[Int:Int] = [Int:Int]() 10 for i in 0..<n 11 { 12 count[persons[i],default:0] += 1 13 if i == 0 || count[persons[i],default:0] >= count[lead,default:0] 14 { 15 lead = persons[i] 16 } 17 m[times[i]] = lead 18 } 19 } 20 21 func q(_ t: Int) -> Int { 22 var i:Int = binarySearch(t) 23 return i < 0 ? m[time[-i-2],default:0] : m[time[i],default:0] 24 } 25 26 func binarySearch(_ target:Int) -> Int 27 { 28 var low = 0 29 var high = time.count - 1 30 var mid = (low + high) >> 1 31 32 while low <= high { 33 let val = time[mid] 34 if target == val { 35 return mid 36 } else if target < val { 37 high = mid - 1 38 } else { 39 low = mid + 1 40 } 41 mid = (low + high) >> 1 42 } 43 return high 44 } 45 } 46 47 /** 48 * Your TopVotedCandidate object will be instantiated and called as such: 49 * let obj = TopVotedCandidate(persons, times) 50 * let ret_1: Int = obj.q(t) 51 */
1672ms
1 class TopVotedCandidate { 2 var history: [Int] 3 let times: [Int] 4 init(_ persons: [Int], _ times: [Int]) { 5 self.history = Array(repeating: 0, count: times.count) 6 self.times = times 7 var votes = Array(repeating: 0, count: persons.count + 1) 8 var last = 0 9 for i in 0..<persons.count { 10 let p = persons[i] 11 votes[p] += 1 12 if votes[p] >= votes[last] { last = p } 13 history[i] = last 14 } 15 print(history) 16 print(times) 17 } 18 19 // return the biggest index of a time <= t 20 func binarySearch(_ t: Int) -> Int { 21 var i = 0, j = times.count 22 while i < j { 23 let m = (i + j) / 2 24 let a = times[m] 25 if a == t { return m } 26 if a > t { j = m } 27 else { 28 if i == m { return m } 29 i = m 30 } 31 } 32 return j 33 } 34 35 func q(_ t: Int) -> Int { 36 let i = binarySearch(t) 37 return history[i] 38 } 39 }
1716ms
1 class TopVotedCandidate { 2 var rankings = [(Int, Int)]() 3 4 init(_ persons: [Int], _ times: [Int]) { 5 var map = [Int: Int]() 6 var leader = -1 7 var leaderCount = -1 8 for i in 0..<persons.count { 9 let sum = (map[persons[i]] ?? 0) + 1 10 map[persons[i]] = sum 11 if sum >= leaderCount { 12 leader = persons[i] 13 leaderCount = sum 14 } 15 rankings.append((times[i], leader)) 16 } 17 } 18 19 func q(_ t: Int) -> Int { 20 guard t < rankings.last!.0 else { 21 return rankings.last!.1 22 } 23 var left = 0 24 var right = rankings.count 25 while left < right { 26 let mid = left + (right - left) / 2 27 if rankings[mid].0 <= t { 28 left = mid + 1 29 } else { 30 right = mid 31 } 32 } 33 return rankings[left - 1].1 34 } 35 }
1732ms
1 class TopVotedCandidate { 2 var curMax = 0, maxes = [Int](), votes = [Int: Int](), times = [Int]() 3 // 0,1,1,0,0,1,0 4 // 0 1 1 0 0 1 0 5 init(_ persons: [Int], _ times: [Int]) { 6 maxes = [Int](repeating: -1, count: persons.count) 7 for (idx, person) in persons.enumerated() { 8 votes[person] = (votes[person] ?? 0) + 1 9 if let vote = votes[person], vote >= curMax { 10 curMax = vote 11 maxes[idx] = person 12 } else { 13 maxes[idx] = maxes[idx - 1] 14 } 15 } 16 self.times = times 17 } 18 19 func q(_ t: Int) -> Int { 20 var l = 0, r = times.count, idx = -1 21 while l < r { 22 var mid = (l + r) / 2 23 if times[mid] == t { 24 idx = mid 25 break 26 } else if times[mid] < t { 27 l = mid + 1 28 } else { 29 r = mid 30 } 31 } 32 if idx == -1 { 33 idx = l >= times.count ? l - 1 : times[l] > t ? l - 1 : l 34 } 35 return maxes[idx] 36 } 37 }
1756ms
1 class TopVotedCandidate { 2 var dict: [Int: Int] 3 let times: [Int] 4 init(_ persons: [Int], _ times: [Int]) { 5 self.times = times 6 var m = -1 7 var leading = -1 8 var d = [Int: Int]() 9 dict = [Int: Int]() 10 for (i ,t) in times.enumerated() { 11 d[persons[i], default: 0] += 1 12 if let value = d[persons[i]], value >= m { 13 m = value 14 leading = persons[i] 15 dict[t] = persons[i] 16 } else { 17 dict[t] = leading 18 } 19 } 20 } 21 22 func q(_ t: Int) -> Int { 23 var low = 0 24 var high = times.count-1 25 while low <= high { 26 let middle = (low + high) / 2 27 if times[middle] == t { 28 return dict[times[middle]]! 29 } else if times[middle] > t { 30 high = middle - 1 31 } else { 32 low = middle + 1 33 } 34 } 35 return dict[times[low-1]]! 36 } 37 }