org.djutils.stats.summarizers.event.EventBasedTally Maven / Gradle / Ivy
Show all versions of djutils-stats Show documentation
package org.djutils.stats.summarizers.event;
import java.rmi.RemoteException;
import org.djutils.event.Event;
import org.djutils.event.EventListener;
import org.djutils.event.EventListenerMap;
import org.djutils.event.EventProducer;
import org.djutils.event.LocalEventProducer;
import org.djutils.exceptions.Throw;
import org.djutils.stats.summarizers.Tally;
import org.djutils.stats.summarizers.quantileaccumulator.NoStorageAccumulator;
import org.djutils.stats.summarizers.quantileaccumulator.QuantileAccumulator;
/**
* The EventBasedTally class registers a series of values and provides mean, standard deviation, etc. of the registered values.
* It embeds an EventProducer so it can keep listeners informed about new observations, and it listens to external events to be
* able to receive observations, in addition to the register(...) method.
*
* Copyright (c) 2002-2024 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands. All rights reserved. See
* for project information https://simulation.tudelft.nl. The DSOL
* project is distributed under a three-clause BSD-style license, which can be found at
*
* https://simulation.tudelft.nl/dsol/3.0/license.html.
* @author Alexander Verbraeck
* @author Peter Jacobs
* @author Peter Knoppers
*/
public class EventBasedTally extends Tally implements EventProducer, EventListener
{
/** */
private static final long serialVersionUID = 20200228L;
/** The embedded EventProducer. */
private EventProducer eventProducer = null;
/**
* Constructs a new EventBasedTally.
* @param description String; the description of this tally
* @param quantileAccumulator QuantileAccumulator; the input series accumulator that can approximate or compute quantiles.
*/
public EventBasedTally(final String description, final QuantileAccumulator quantileAccumulator)
{
this(description, quantileAccumulator, new LocalEventProducer());
}
/**
* Convenience constructor that uses a NoStorageAccumulator to estimate quantiles.
* @param description String; the description of this tally
*/
public EventBasedTally(final String description)
{
this(description, new NoStorageAccumulator());
}
/**
* Construct a new EventBasedCounter with a specific EventProducer, e.g. a remote one. The Tally uses uses a
* NoStorageAccumulator to estimate quantiles.
* @param description String; the description for this counter
* @param eventProducer EventProducer; the EventProducer to embed and use in this statistic
*/
public EventBasedTally(final String description, final EventProducer eventProducer)
{
this(description, new NoStorageAccumulator(), eventProducer);
}
/**
* Construct a new EventBasedCounter with a specific EventProducer, e.g. a remote one.
* @param description String; the description for this counter
* @param quantileAccumulator QuantileAccumulator; the input series accumulator that can approximate or compute quantiles.
* @param eventProducer EventProducer; the EventProducer to embed and use in this statistic
*/
public EventBasedTally(final String description, final QuantileAccumulator quantileAccumulator,
final EventProducer eventProducer)
{
super(description, quantileAccumulator);
Throw.whenNull(eventProducer, "eventProducer cannot be null");
this.eventProducer = eventProducer;
}
@Override
public EventListenerMap getEventListenerMap() throws RemoteException
{
return this.eventProducer.getEventListenerMap();
}
@Override
public void initialize()
{
super.initialize();
if (this.eventProducer != null)
{
try
{
this.eventProducer.fireEvent(StatisticsEvents.INITIALIZED_EVENT);
}
catch (RemoteException exception)
{
throw new RuntimeException(exception);
}
}
}
@Override
@SuppressWarnings("checkstyle:designforextension")
public void notify(final Event event)
{
if (!(event.getContent() instanceof Number))
{
throw new IllegalArgumentException("Tally does not accept " + event);
}
double value = ((Number) event.getContent()).doubleValue();
register(value);
}
@Override
public double register(final double value)
{
super.register(value);
try
{
if (hasListeners())
{
this.eventProducer.fireEvent(StatisticsEvents.OBSERVATION_ADDED_EVENT, value);
fireEvents();
}
}
catch (RemoteException exception)
{
throw new RuntimeException(exception);
}
return value;
}
/**
* Method that can be overridden to fire own events or additional events when registering an observation.
* @throws RemoteException on network error
*/
protected void fireEvents() throws RemoteException
{
this.eventProducer.fireEvent(StatisticsEvents.N_EVENT, getN());
this.eventProducer.fireEvent(StatisticsEvents.MIN_EVENT, getMin());
this.eventProducer.fireEvent(StatisticsEvents.MAX_EVENT, getMax());
this.eventProducer.fireEvent(StatisticsEvents.POPULATION_MEAN_EVENT, getPopulationMean());
this.eventProducer.fireEvent(StatisticsEvents.POPULATION_VARIANCE_EVENT, getPopulationVariance());
this.eventProducer.fireEvent(StatisticsEvents.POPULATION_SKEWNESS_EVENT, getPopulationSkewness());
this.eventProducer.fireEvent(StatisticsEvents.POPULATION_KURTOSIS_EVENT, getPopulationKurtosis());
this.eventProducer.fireEvent(StatisticsEvents.POPULATION_EXCESS_KURTOSIS_EVENT, getPopulationExcessKurtosis());
this.eventProducer.fireEvent(StatisticsEvents.POPULATION_STDEV_EVENT, getPopulationStDev());
this.eventProducer.fireEvent(StatisticsEvents.SUM_EVENT, getSum());
this.eventProducer.fireEvent(StatisticsEvents.SAMPLE_MEAN_EVENT, getSampleMean());
this.eventProducer.fireEvent(StatisticsEvents.SAMPLE_VARIANCE_EVENT, getSampleVariance());
this.eventProducer.fireEvent(StatisticsEvents.SAMPLE_SKEWNESS_EVENT, getSampleSkewness());
this.eventProducer.fireEvent(StatisticsEvents.SAMPLE_KURTOSIS_EVENT, getSampleKurtosis());
this.eventProducer.fireEvent(StatisticsEvents.SAMPLE_EXCESS_KURTOSIS_EVENT, getSampleExcessKurtosis());
this.eventProducer.fireEvent(StatisticsEvents.SAMPLE_STDEV_EVENT, getSampleStDev());
}
@Override
@SuppressWarnings("checkstyle:designforextension")
public String toString()
{
return "EventBasedTally" + super.toString().substring(5);
}
}