Expand description
RunningAverage
and RealTimeRunningAverage
types allow to calculate running average with specified time window width using constant memory.
The RunningAverage
type can be used when processing streams of temporal data while RealTimeRunningAverage
can be used when measured events are happening in real time.
For example RealTimeRunningAverage
can be used to measure download throughput by inserting how many bytes were transferred.
use running_average::RealTimeRunningAverage;
// By default use 8 second window with 16 accumulators
let mut tw = RealTimeRunningAverage::default();
// Connect and start downloading
// Got 2KB of data
tw.insert(2000);
// Waiting for more data
// Got 1KB of data
tw.insert(1000);
// Print average transfer for last 8 seconds
println!("{}", tw.measurement());
Structs§
- TimeSource that has to be manually progressed forward via
ManualTimeSource::time_shift()
method. - Represent result of the calculation of running average
- Represents running average calculation window where
shift
andmeasurement
are using given time source to obtain value ofnow
instant. It is using specified window width that will consist of given number of accumulator buckets to ensure constant memory usage. - TimeSource that uses real time clock via
Instant::now()
. - Represents running average calculation window. It is using specified window width that will consist of given number of accumulator buckets to ensure constant memory usage.
Traits§
- Types implementing this trait can be used as Instant type in TimeSource trait and for RunningAverage
- Types implementing this trait can be used as TimeSource for RealTimeRunningAverage.
- Types implementing this trait can be used to calculate
Measurement::rate()
from. Note: This is not implemented for u64 as it cannot be converted precisely to f64 - use f64 instead for big numbers Note: Duration can be converted to f64 but will be rounded to fit in it so it is not 100% precise for max Duration