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 time t
, where t
represents some time in milliseconds, and returns the number of requests that has happened in the past 3000
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
ping
with strictly increasing values of t
.104
calls will be made to ping
.
class RecentCounter {
public:
RecentCounter() {
}
queue q;
int ping(int t) {
if(q.empty())q.push(t);
else{
while(!q.empty() and (q.front()< (t-3000)))q.pop();
q.push(t);
}
return q.size();
}
};
The purpose of this function is to maintain a queue of timestamps representing recent requests. The sliding window concept is used here for the same, and the ‘ping’ method updates the queue and returns the number of requests made in the last 3000 milliseconds(3 seconds).
Let’s see the step-by-step approach towards the problem :
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