We are given a list schedule
of employees, which represents the working time for each employee.
Each employee has a list of non-overlapping Intervals
, and these intervals are in sorted order.
Return the list of finite intervals representing common, positive-length free time for all employees, also in sorted order.
(Even though we are representing Intervals
in the form [x, y]
, the objects inside are Intervals
, not lists or arrays. For example, schedule[0][0].start = 1
, schedule[0][0].end = 2
, and schedule[0][0][0]
is not defined). Also, we wouldn't include intervals like [5, 5] in our answer, as they have zero length.
Example 1:
Input: schedule = [[[1,2],[5,6]],[[1,3]],[[4,10]]] Output: [[3,4]] Explanation: There are a total of three employees, and all common free time intervals would be [-inf, 1], [3, 4], [10, inf]. We discard any intervals that contain inf as they aren't finite.Example 2:
Input: schedule = [[[1,3],[6,7]],[[2,4]],[[2,5],[9,12]]] Output: [[5,6],[7,9]]
Constraints:
1 <= schedule.length , schedule[i].length <= 50
0 <= schedule[i].start < schedule[i].end <= 10^8
员工空闲时间。题意是给定员工的schedule列表,表示每个员工的工作时间。每个员工都有一个非重叠的时间段Intervals列表,这些时间段已经排好序。请返回表示所有员工的共同的,正数长度的空闲时间的列表,同样需要排好序。
思路还是扫描线算法。但是这里有一些细节需要解释一下,input给的是多个员工的schedule,以interval of intervals表示。有的员工的schedule是断开的,所以input里面会有一个员工多个interval的情况。这个题有两种思路做,一种是pq,一种是先排序再扫描。
pq的做法是,将所有人的所有interval加入一个以start time排序的pq,先弹出一个,记为temp,比较temp.end和pq.peek().start的大小关系。若两者没有交集,则发现了一个gap,将其加入结果集;若没有交集,则temp.end = Math.max(temp.end, pq.peek().end)。
时间O(nlogn)
空间O(n)
Java实现ONLY
1 class Solution { 2 public List<Interval> employeeFreeTime(List<List<Interval>> schedule) { 3 List<Interval> res = new ArrayList<>(); 4 PriorityQueue<Interval> pq = new PriorityQueue<>((a, b) -> a.start - b.start); 5 schedule.forEach(e -> pq.addAll(e)); 6 Interval temp = pq.poll(); 7 while (!pq.isEmpty()) { 8 if (temp.end < pq.peek().start) { 9 res.add(new Interval(temp.end, pq.peek().start)); 10 temp = pq.poll(); 11 } else { 12 temp = temp.end < pq.peek().end ? pq.peek() : temp; 13 pq.poll(); 14 } 15 } 16 return res; 17 } 18 }
扫描的做法非常类似。将所有人的所有interval放在一起,按start time排序。接着两两比较,看是否前一个interval.end < 后一个interval.start,若是则找到一个gap,加入结果集;若不是则接着往后找。
时间O(nlogn)
空间O(n)
Java实现
1 class Solution { 2 public List<Interval> employeeFreeTime(List<List<Interval>> schedule) { 3 List<Interval> res = new ArrayList<>(); 4 List<Interval> copy = new ArrayList<>(); 5 schedule.forEach(e -> copy.addAll(e)); 6 Collections.sort(copy, (a, b) -> a.start - b.start); 7 Interval temp = copy.get(0); 8 for (Interval each : copy) { 9 if (temp.end < each.start) { 10 res.add(new Interval(temp.end, each.start)); 11 temp = each; 12 } else { 13 temp = temp.end < each.end ? each : temp; 14 } 15 } 16 return res; 17 } 18 }
JavaScript实现
1 /** 2 * @param {Interval[][]} schedule 3 * @return {Interval[]} 4 */ 5 var employeeFreeTime = function(schedule) { 6 let res = []; 7 let copy = []; 8 for (let employee of schedule) { 9 for (let interval of employee) { 10 copy.push(interval); 11 } 12 } 13 copy.sort((a, b) => a.start - b.start); 14 let temp = copy[0]; 15 for (each of copy) { 16 if (temp.end < each.start) { 17 res.push(new Interval(temp.end, each.start)); 18 temp = each; 19 } else { 20 temp = temp.end < each.end ? each : temp; 21 } 22 } 23 return res; 24 };