Find Active Users

Given a list of user activity records (userId, timestamp), identify users who meet the "active" criterion (e.g., at least k actions within a recent time window). The core challenge is grouping and counting per user efficiently over timestamps — use hashing plus sliding-window/two-pointer or time-bucketing to handle large logs in near-linear time.