933. Number of Recent Calls
Table of Contents
Problem statement:
Number of Recent calls
You have a RecentCounter
class which counts the number of recent requests within a certain time frame.
Implement the RecentCounter
class:
RecentCounter()
Initializes the counter with zero recent requests.int ping(int t)
Adds a new request at timet
, wheret
represents some time in milliseconds, and returns the number of requests that has happened in the past3000
milliseconds (including the new request). Specifically, return the number of requests that have happened in the inclusive range[t - 3000, t]
.
It is guaranteed that every call to ping
uses a strictly larger value of t
than the previous call.
Example 1:
Input ["RecentCounter", "ping", "ping", "ping", "ping"] [[], [1], [100], [3001], [3002]] Output [null, 1, 2, 3, 3]
Explanation:
RecentCounter recentCounter = new RecentCounter(); recentCounter.ping(1); // requests = [1], range is [-2999,1], return 1 recentCounter.ping(100); // requests = [1, 100], range is [-2900,100], return 2 recentCounter.ping(3001); // requests = [1, 100, 3001], range is [1,3001], return 3 recentCounter.ping(3002); // requests = [1, 100, 3001, 3002], range is [2,3002], return 3
Constraints:
1 <= t <= 109
- Each test case will call
ping
with strictly increasing values oft
. - At most
104
calls will be made toping
.
Source: LeetCode
Solution:
First solution: Using queue
if we think properly it’s a problem that can be solved by queue because we need the number of requests made in the last 3000 seconds, so we can keep polling the queue till the time we have values satisfy condition t < t’ – 3000
Java Code
class RecentCounter {
Queue<Integer> q = new LinkedList<>();
public RecentCounter() {
q = new LinkedList<>();
}
public int ping(int t) {
q.add(t);
while (q.peek() < t - 3000) {
q.poll();
}
return q.size();
}
}
- Space complexity: O(N)
- Time complexity: O(Min (N, 3000))
Second solution: Using TreeSet
Now as we see in the normal queue we were searching elements in linear search. But using SortedSet (TreeSet) we can add an element and search subset in O(log(N))
Java Code
class RecentCounter {
TreeSet<Integer> treeSet;
public RecentCounter() {
treeSet = new TreeSet();
}
public int ping(int t) {
treeSet.add(t);
return treeSet.tailSet(t-3000).size();
}
}
- Space complexity: O(N)
- Time complexity: O(log (N))