pub fn process(buckets: &mut Buckets) {
    let start_time = time::get_time();

    let mut timer_data = HashMap::new();

    // Add the various derived values for timers.
    for (key, values) in buckets.timers().iter() {
        if values.len() > 0 {
            let mut v = values.clone();
            v.sort_by(|a, b| a.partial_cmp(b).unwrap());

            let len = v.len() as f64;
            let sum = v.iter().fold(0.0, |sum, x| sum + x);
            let mean = sum / len;

            // Get population standard deviation
            let sum_diff = v.iter().fold(0.0, |sum, x| sum + (x - mean).powi(2));
            let stddev = (sum_diff / len).sqrt();

            let median = percentile(&v, 0.5);
            let upper_90 = percentile(&v, 0.90);
            let upper_95 = percentile(&v, 0.95);
            let upper_99 = percentile(&v, 0.99);
            let count_per_second = len as f64 / buckets.flush_interval();

            timer_data.insert(format!("{}.min", key), v[0]);
            timer_data.insert(format!("{}.max", key), v[v.len() - 1]);
            timer_data.insert(format!("{}.count", key), len);
            timer_data.insert(format!("{}.count_ps", key), count_per_second as f64);
            timer_data.insert(format!("{}.mean", key), mean);
            timer_data.insert(format!("{}.median", key), median);
            timer_data.insert(format!("{}.stddev", key), stddev);
            timer_data.insert(format!("{}.upper_90", key), upper_90);
            timer_data.insert(format!("{}.upper_95", key), upper_95);
            timer_data.insert(format!("{}.upper_99", key), upper_99);
        }
    }
    buckets.set_timer_data(timer_data);

    let duration = time::get_time() - start_time;
    let process_duration = Metric::new("statsd.processing_time",
                                       duration.num_milliseconds() as f64,
                                       MetricKind::Counter(1.0));
    buckets.add(&process_duration);
}
/// Creates derived values from metric data.
///
/// Creates:
///
/// - timer percentile data.
/// - internal processing metrics
Creates derived values from metric data.
Creates.

timer percentile data.
internal processing metrics
Creates derived values from metric data . Creates . timer percentile data . internal processing metrics
pub fn process(buckets: &mut Buckets) {
    let start_time = time::get_time();
    let mut timer_data = HashMap::new();
    // Add the various derived values for timers.
    for (key, values) in buckets.timers().iter() {
        if values.len() > 0 {
            let mut v = values.clone();
            v.sort_by(|a, b| a.partial_cmp(b).unwrap());
            let len = v.len() as f64;
            let sum = v.iter().fold(0.0, |sum, x| sum + x);
            let mean = sum / len;
            // Get population standard deviation
            let sum_diff = v.iter().fold(0.0, |sum, x| sum + (x - mean).powi(2));
            let stddev = (sum_diff / len).sqrt();
            let median = percentile(&v, 0.5);
            let upper_90 = percentile(&v, 0.90);
            let upper_95 = percentile(&v, 0.95);
            let upper_99 = percentile(&v, 0.99);
            let count_per_second = len as f64 / buckets.flush_interval();
            timer_data.insert(format!("{}.min", key), v[0]);
            timer_data.insert(format!("{}.max", key), v[v.len() - 1]);
            timer_data.insert(format!("{}.count", key), len);
            timer_data.insert(format!("{}.count_ps", key), count_per_second as f64);
            timer_data.insert(format!("{}.mean", key), mean);
            timer_data.insert(format!("{}.median", key), median);
            timer_data.insert(format!("{}.stddev", key), stddev);
            timer_data.insert(format!("{}.upper_90", key), upper_90);
            timer_data.insert(format!("{}.upper_95", key), upper_95);
            timer_data.insert(format!("{}.upper_99", key), upper_99);
        }
    }
    buckets.set_timer_data(timer_data);
    let duration = time::get_time() - start_time;
    let process_duration = Metric::new("statsd.processing_time",
                                       duration.num_milliseconds() as f64,
                                       MetricKind::Counter(1.0));
    buckets.add(&process_duration);
}
pub fn process ( buckets : & mut Buckets ) { let start_time = time :: get_time ( ) ; let mut timer_data = HashMap :: new ( ) ; // Add the various derived values for timers. for ( key , values ) in buckets . timers ( ) . iter ( ) { if values . len ( ) > 0 { let mut v = values . clone ( ) ; v . sort_by ( | a , b | a . partial_cmp ( b ) . unwrap ( ) ) ; let len = v . len ( ) as f64 ; let sum = v . iter ( ) . fold ( 0.0 , | sum , x | sum + x ) ; let mean = sum / len ; // Get population standard deviation let sum_diff = v . iter ( ) . fold ( 0.0 , | sum , x | sum + ( x - mean ) . powi ( 2 ) ) ; let stddev = ( sum_diff / len ) . sqrt ( ) ; let median = percentile ( & v , 0.5 ) ; let upper_90 = percentile ( & v , 0.90 ) ; let upper_95 = percentile ( & v , 0.95 ) ; let upper_99 = percentile ( & v , 0.99 ) ; let count_per_second = len as f64 / buckets . flush_interval ( ) ; timer_data . insert ( format ! ( " " key ) , v [ 0 ] ) ; timer_data . insert ( format ! ( " " key ) , v [ v . len ( ) - 1 ] ) ; timer_data . insert ( format ! ( " " key ) , len ) ; timer_data . insert ( format ! ( " " key ) , count_per_second as f64 ) ; timer_data . insert ( format ! ( " " key ) , mean ) ; timer_data . insert ( format ! ( " " key ) , median ) ; timer_data . insert ( format ! ( " " key ) , stddev ) ; timer_data . insert ( format ! ( " " key ) , upper_90 ) ; timer_data . insert ( format ! ( " " key ) , upper_95 ) ; timer_data . insert ( format ! ( " " key ) , upper_99 ) ; } } buckets . set_timer_data ( timer_data ) ; let duration = time :: get_time ( ) - start_time ; let process_duration = Metric :: new ( " " , duration . num_milliseconds ( ) as f64 , MetricKind :: Counter ( 1.0 ) ) ; buckets . add ( & process_duration ) ; }
Creates derived values from metric data.
Creates derived values from metric data .
buckets
&mut Buckets