org.databene.benerator.sample
Class MappedSampleGenerator<E>

java.lang.Object
  org.databene.benerator.util.AbstractGenerator<E>
      org.databene.benerator.util.ThreadSafeGenerator<E>
          org.databene.benerator.sample.AbstractSampleGenerator<E>
              org.databene.benerator.sample.IndividualWeightGenerator<E>
                  org.databene.benerator.sample.MappedSampleGenerator<E>

All Implemented Interfaces:

java.io.Closeable, Generator<E>, org.databene.commons.Resettable, org.databene.commons.ThreadAware

public class MappedSampleGenerator<E>
extends IndividualWeightGenerator<E>

IndividualWeightGenerator implementation that organizes sample data in a Map of value-weight associations.

Created at 12.07.2009 00:29:58

Since:

0.6.0

Author:

Volker Bergmann

Field Summary

Fields inherited from class org.databene.benerator.util.AbstractGenerator

context, state

Constructor Summary

MappedSampleGenerator(java.lang.Class<E> generatedType, E... values)

MappedSampleGenerator(java.lang.Class<E> generatedType, java.lang.Iterable<E> values)

Method Summary

void	addSample(E sample)
void	addSample(E sample, double weight)
boolean	containsSample(E sample)
void	init(GeneratorContext context) Initializes all attributes
java.lang.String	toString()

Methods inherited from class org.databene.benerator.sample.IndividualWeightGenerator

addValue, clear, generate, generate, generate, getGeneratedType, getSamples, setSamples, setSamples

Methods inherited from class org.databene.benerator.sample.AbstractSampleGenerator

addValues, addValues, setValues, setValues

Methods inherited from class org.databene.benerator.util.ThreadSafeGenerator

isParallelizable, isThreadSafe

Methods inherited from class org.databene.benerator.util.AbstractGenerator

assertInitialized, assertNotInitialized, close, reset, wasInitialized

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

MappedSampleGenerator

public MappedSampleGenerator(java.lang.Class<E> generatedType,
                             E... values)

MappedSampleGenerator

public MappedSampleGenerator(java.lang.Class<E> generatedType,
                             java.lang.Iterable<E> values)

Method Detail

addSample

public void addSample(E sample)

addSample

public void addSample(E sample,
                      double weight)

containsSample

public boolean containsSample(E sample)

init

public void init(GeneratorContext context)

Description copied from class: IndividualWeightGenerator

Initializes all attributes

Specified by:

init in interface Generator<E>

Overrides:

init in class IndividualWeightGenerator<E>

toString

public java.lang.String toString()

Overrides:

toString in class IndividualWeightGenerator<E>