Rolling Average Steps

Compute the moving average of step counts over a fixed-size sliding window for an array or stream of measurements, producing the average for each contiguous window efficiently. The core challenge is to update the average incrementally (O(1) per new value) to handle large or streaming inputs and edge cases like partial windows.