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This artifact provides a single jar that contains all classes required to use remote Jakarta Enterprise Beans and Jakarta Messaging, including all dependencies. It is intended for use by those not using maven, maven users should just import the Jakarta Enterprise Beans and Jakarta Messaging BOM's instead (shaded JAR's cause lots of problems with maven, as it is very easy to inadvertently end up with different versions on classes on the class path).

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package org.jgroups.util;

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.TimeUnit;

import static org.jgroups.util.Util.printTime;

/**
 * Measures min and max in addition to average
 * @author Bela Ban
 * @since  4.0, 3.6.10
 */
public class AverageMinMax extends Average {
    protected long             min=Long.MAX_VALUE, max=0;
    protected List       values;
    protected volatile boolean sorted;

    public long          min()                   {return min;}
    public long          max()                   {return max;}
    public boolean       usePercentiles()        {return values != null;}
    public AverageMinMax usePercentiles(int cap) {values=cap > 0? new ArrayList<>(cap) : null; return this;}
    public List    values()                {return values;}

    public  T add(long num) {
        super.add(num);
        min=Math.min(min, num);
        max=Math.max(max, num);
        if(values != null) {
            values.add(num);
            sorted=false;
        }
        return (T)this;
    }

    public  T merge(T other) {
        if(other.count() == 0)
            return (T)this;
        super.merge(other);
        if(other instanceof AverageMinMax) {
            AverageMinMax o=(AverageMinMax)other;
            this.min=Math.min(min, o.min());
            this.max=Math.max(max, o.max());
            if(this.values != null) {
                this.values.addAll(o.values);
                sorted=false;
            }
        }
        return (T)this;
    }

    public void clear() {
        super.clear();
        if(values != null)
            values.clear();
        min=Long.MAX_VALUE; max=0;
    }

    public String percentiles() {
        if(values == null) return "n/a";
        sort();
        double stddev=stddev();
        return String.format("stddev: %.2f, 50: %d, 90: %d, 99: %d, 99.9: %d, 99.99: %d, 99.999: %d, 100: %d\n",
                             stddev, p(50), p(90), p(99), p(99.9), p(99.99), p(99.999), p(100));
    }

    public String toString() {
        return count == 0? "n/a" :
          unit != null? toString(unit) :
          String.format("min/avg/max=%,d/%,.2f/%,d%s",
                        min, getAverage(), max, unit == null? "" : " " + Util.suffix(unit));
    }

    public String toString(TimeUnit u) {
        if(count == 0)
            return "n/a";
        return String.format("%s/%s/%s", printTime(min, u), printTime(getAverage(), u), printTime(max, u));
    }

    public void writeTo(DataOutput out) throws IOException {
        super.writeTo(out);
        Bits.writeLongCompressed(min, out);
        Bits.writeLongCompressed(max, out);
    }

    public void readFrom(DataInput in) throws IOException {
        super.readFrom(in);
        min=Bits.readLongCompressed(in);
        max=Bits.readLongCompressed(in);
    }

    public long percentile(double percentile) {
        return p(percentile);
    }

    public long p(double percentile) {
        if(values == null)
            return -1;
        sort();
        int size=values.size();
        if(size == 0)
            return -1;
        int index=size == 1? 1 : (int)(size * (percentile/100.0));
        return values.get(index-1);
    }

    public double stddev() {
        if(values == null) return -1.0;
        sort();
        double av=average();
        int size=values.size();
        double variance=values.stream().map(v -> (v - av)*(v - av)).reduce(0.0, Double::sum) / size;
        return Math.sqrt(variance);
    }

    public AverageMinMax sort() {
        if(values != null && !sorted) {
            Collections.sort(values);
            sorted=true;
        }
        return this;
    }


}