website/content.en/ChapterFour/1300~1399/1396.Design-Underground-System.md
Implement the UndergroundSystem class:
void checkIn(int id, string stationName, int t)
id, gets in the station stationName at time t.void checkOut(int id, string stationName, int t)
id, gets out from the station stationName at time t.double getAverageTime(string startStation, string endStation)
startStation and the endStation.startStation to endStation that happened directly.getAverageTime is always valid.You can assume all calls to checkIn and checkOut methods are consistent. If a customer gets in at time t1 at some station, they get out at time t2 with t2 > t1. All events happen in chronological order.
Example 1:
Input
["UndergroundSystem","checkIn","checkIn","checkIn","checkOut","checkOut","checkOut","getAverageTime","getAverageTime","checkIn","getAverageTime","checkOut","getAverageTime"]
[[],[45,"Leyton",3],[32,"Paradise",8],[27,"Leyton",10],[45,"Waterloo",15],[27,"Waterloo",20],[32,"Cambridge",22],["Paradise","Cambridge"],["Leyton","Waterloo"],[10,"Leyton",24],["Leyton","Waterloo"],[10,"Waterloo",38],["Leyton","Waterloo"]]
Output
[null,null,null,null,null,null,null,14.00000,11.00000,null,11.00000,null,12.00000]
Explanation
UndergroundSystem undergroundSystem = new UndergroundSystem();
undergroundSystem.checkIn(45, "Leyton", 3);
undergroundSystem.checkIn(32, "Paradise", 8);
undergroundSystem.checkIn(27, "Leyton", 10);
undergroundSystem.checkOut(45, "Waterloo", 15);
undergroundSystem.checkOut(27, "Waterloo", 20);
undergroundSystem.checkOut(32, "Cambridge", 22);
undergroundSystem.getAverageTime("Paradise", "Cambridge"); // return 14.00000. There was only one travel from "Paradise" (at time 8) to "Cambridge" (at time 22)
undergroundSystem.getAverageTime("Leyton", "Waterloo"); // return 11.00000. There were two travels from "Leyton" to "Waterloo", a customer with id=45 from time=3 to time=15 and a customer with id=27 from time=10 to time=20. So the average time is ( (15-3) + (20-10) ) / 2 = 11.00000
undergroundSystem.checkIn(10, "Leyton", 24);
undergroundSystem.getAverageTime("Leyton", "Waterloo"); // return 11.00000
undergroundSystem.checkOut(10, "Waterloo", 38);
undergroundSystem.getAverageTime("Leyton", "Waterloo"); // return 12.00000
Example 2:
Input
["UndergroundSystem","checkIn","checkOut","getAverageTime","checkIn","checkOut","getAverageTime","checkIn","checkOut","getAverageTime"]
[[],[10,"Leyton",3],[10,"Paradise",8],["Leyton","Paradise"],[5,"Leyton",10],[5,"Paradise",16],["Leyton","Paradise"],[2,"Leyton",21],[2,"Paradise",30],["Leyton","Paradise"]]
Output
[null,null,null,5.00000,null,null,5.50000,null,null,6.66667]
Explanation
UndergroundSystem undergroundSystem = new UndergroundSystem();
undergroundSystem.checkIn(10, "Leyton", 3);
undergroundSystem.checkOut(10, "Paradise", 8);
undergroundSystem.getAverageTime("Leyton", "Paradise"); // return 5.00000
undergroundSystem.checkIn(5, "Leyton", 10);
undergroundSystem.checkOut(5, "Paradise", 16);
undergroundSystem.getAverageTime("Leyton", "Paradise"); // return 5.50000
undergroundSystem.checkIn(2, "Leyton", 21);
undergroundSystem.checkOut(2, "Paradise", 30);
undergroundSystem.getAverageTime("Leyton", "Paradise"); // return 6.66667
Constraints:
20000 operations.1 <= id, t <= 1061 <= stationName.length <= 10105 of the actual value will be accepted as correct.Please implement a class UndergroundSystem that supports the following 3 methods:
You can assume that all calls to checkIn and checkOut are logically valid. That is, if a customer arrives at some subway station at time t1, then their departure time t2 must satisfy t2 > t1. All events are given in chronological order.
maps. One mapA stores the mapping between passenger id and (check-in time, station name). The other mapB stores the relationship between the start station and end station with the total time spent and total number of people. Whenever someone checkin(), update the information in mapA. Whenever someone checkout(), update the information in mapB, and delete the key-value pair corresponding to the passenger id in mapA. Finally, when calling the getAverageTime() function, simply calculate based on the information stored in mapB.package leetcode
type checkin struct {
station string
time int
}
type stationTime struct {
sum, count float64
}
type UndergroundSystem struct {
checkins map[int]*checkin
stationTimes map[string]map[string]*stationTime
}
func Constructor() UndergroundSystem {
return UndergroundSystem{
make(map[int]*checkin),
make(map[string]map[string]*stationTime),
}
}
func (s *UndergroundSystem) CheckIn(id int, stationName string, t int) {
s.checkins[id] = &checkin{stationName, t}
}
func (s *UndergroundSystem) CheckOut(id int, stationName string, t int) {
checkin := s.checkins[id]
destination := s.stationTimes[checkin.station]
if destination == nil {
s.stationTimes[checkin.station] = make(map[string]*stationTime)
}
st := s.stationTimes[checkin.station][stationName]
if st == nil {
st = new(stationTime)
s.stationTimes[checkin.station][stationName] = st
}
st.sum += float64(t - checkin.time)
st.count++
delete(s.checkins, id)
}
func (s *UndergroundSystem) GetAverageTime(startStation string, endStation string) float64 {
st := s.stationTimes[startStation][endStation]
return st.sum / st.count
}
/**
* Your UndergroundSystem object will be instantiated and called as such:
* obj := Constructor();
* obj.CheckIn(id,stationName,t);
* obj.CheckOut(id,stationName,t);
* param_3 := obj.GetAverageTime(startStation,endStation);
*/