org.databene.benerator.sample
Class IndividualWeightGenerator<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>

All Implemented Interfaces:

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

Direct Known Subclasses:

MappedSampleGenerator

public class IndividualWeightGenerator<E>
extends AbstractSampleGenerator<E>

Generator for IndividualWeight distributions.

Created at 01.07.2009 11:48:23

Since:

0.6.0

Author:

Volker Bergmann

Field Summary

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

context, state

Constructor Summary

IndividualWeightGenerator()
Initializes the generator to an empty sample list

IndividualWeightGenerator(java.lang.Class<E> generatedType, IndividualWeight<E> distribution, E... values)
Initializes the generator to an unweighted sample list

IndividualWeightGenerator(java.lang.Class<E> generatedType, IndividualWeight<E> distribution, java.lang.Iterable<E> values)
Initializes the generator to an unweighted sample list

Method Summary

<T extends E> void	addValue(T value) Adds an unweighted value to the sample list
void	clear() Removes all values from the sample list
E	generate() Returns an instance of the generic type E.
static <T> T	generate(java.util.List<T> samples) Convenience utility method that chooses one sample out of a list with uniform random distribution
static <T> T	generate(T... samples) Convenience utility method that chooses one sample out of a list with uniform random distribution
java.lang.Class<E>	getGeneratedType() Declares the type of the objects returned by the generate() method.
java.util.List<E>	getSamples() returns the sample list
void	init(GeneratorContext context) Initializes all attributes
void	setSamples(java.util.Collection<E> samples) Adds weighted values to the sample list
void	setSamples(E... samples) Sets the sample list to the specified weighted values
java.lang.String	toString()

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

IndividualWeightGenerator

public IndividualWeightGenerator()

Initializes the generator to an empty sample list

IndividualWeightGenerator

public IndividualWeightGenerator(java.lang.Class<E> generatedType,
                                 IndividualWeight<E> distribution,
                                 E... values)

Initializes the generator to an unweighted sample list

IndividualWeightGenerator

public IndividualWeightGenerator(java.lang.Class<E> generatedType,
                                 IndividualWeight<E> distribution,
                                 java.lang.Iterable<E> values)

Initializes the generator to an unweighted sample list

Method Detail

getSamples

public java.util.List<E> getSamples()

returns the sample list

setSamples

public void setSamples(E... samples)

Sets the sample list to the specified weighted values

setSamples

public void setSamples(java.util.Collection<E> samples)

Adds weighted values to the sample list

addValue

public <T extends E> void addValue(T value)

Adds an unweighted value to the sample list

Specified by:

addValue in class AbstractSampleGenerator<E>

clear

public void clear()

Description copied from class: AbstractSampleGenerator

Removes all values from the sample list

Specified by:

clear in class AbstractSampleGenerator<E>

getGeneratedType

public java.lang.Class<E> getGeneratedType()

Description copied from interface: Generator

Declares the type of the objects returned by the generate() method.

Specified by:

getGeneratedType in interface Generator<E>

Overrides:

getGeneratedType in class AbstractSampleGenerator<E>

init

public void init(GeneratorContext context)

Initializes all attributes

Specified by:

init in interface Generator<E>

Overrides:

init in class AbstractGenerator<E>

generate

public E generate()

Description copied from interface: Generator

Returns an instance of the generic type E.

See Also:

Generator.generate()

generate

public static <T> T generate(T... samples)

Convenience utility method that chooses one sample out of a list with uniform random distribution

generate

public static <T> T generate(java.util.List<T> samples)

Convenience utility method that chooses one sample out of a list with uniform random distribution

toString

public java.lang.String toString()

Overrides:

toString in class AbstractGenerator<E>