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java.lang.Objectorg.databene.benerator.util.AbstractGenerator<E>
org.databene.benerator.util.ThreadSafeGenerator<E>
org.databene.benerator.sample.AbstractSampleGenerator<E>
org.databene.benerator.sample.IndividualWeightSampleGenerator<E>
public class IndividualWeightSampleGenerator<E>
Maps an IndividualWeight
distribution to an AbstractWeightFunction
and uses its capabilities
for providing distribution features based on the IndividualWeight
's characteristics.
Created at 01.07.2009 11:48:23
Field Summary |
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Fields inherited from class org.databene.benerator.util.AbstractGenerator |
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context, logger, state |
Constructor Summary | |
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IndividualWeightSampleGenerator(java.lang.Class<E> generatedType,
IndividualWeight<E> individualWeight,
E... values)
Initializes the generator to an unweighted sample list |
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IndividualWeightSampleGenerator(java.lang.Class<E> generatedType,
IndividualWeight<E> individualWeight,
java.lang.Iterable<E> values)
Initializes the generator to an unweighted sample list |
Method Summary | ||
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addValue(T value)
Adds an unweighted value to the sample list |
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void |
clear()
Removes all values from the sample list |
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ProductWrapper<E> |
generate(ProductWrapper<E> wrapper)
Returns an instance of the generic type E, using the ProductWrapper
instance provided as argument. |
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long |
getVariety()
|
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double |
getWeight()
|
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void |
init(GeneratorContext context)
Initializes all attributes |
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void |
setSamples(E... samples)
Sets the sample list to the specified weighted values |
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java.lang.String |
toString()
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Methods inherited from class org.databene.benerator.sample.AbstractSampleGenerator |
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addValues, addValues, getGeneratedType, setValues, setValues |
Methods inherited from class org.databene.benerator.util.ThreadSafeGenerator |
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isParallelizable, isThreadSafe |
Methods inherited from class org.databene.benerator.util.AbstractGenerator |
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assertInitialized, assertNotInitialized, close, getResultWrapper, reset, wasInitialized |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Methods inherited from interface org.databene.benerator.Generator |
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close, getGeneratedType, wasInitialized |
Methods inherited from interface org.databene.commons.ThreadAware |
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isParallelizable, isThreadSafe |
Methods inherited from interface org.databene.commons.Resettable |
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reset |
Constructor Detail |
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public IndividualWeightSampleGenerator(java.lang.Class<E> generatedType, IndividualWeight<E> individualWeight, E... values)
public IndividualWeightSampleGenerator(java.lang.Class<E> generatedType, IndividualWeight<E> individualWeight, java.lang.Iterable<E> values)
Method Detail |
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public void setSamples(E... samples)
public <T extends E> void addValue(T value)
addValue
in class AbstractSampleGenerator<E>
public long getVariety()
getVariety
in class AbstractSampleGenerator<E>
public double getWeight()
getWeight
in interface org.databene.commons.Weighted
public void clear()
AbstractSampleGenerator
clear
in class AbstractSampleGenerator<E>
public void init(GeneratorContext context)
init
in interface Generator<E>
init
in class AbstractGenerator<E>
public ProductWrapper<E> generate(ProductWrapper<E> wrapper)
Generator
ProductWrapper
instance provided as argument.
The wrapper may wrap a null value as a regular generator product.
If the generator is not available (any more), it returns null instead of
the ProductWrapper instance.
generate
in interface Generator<E>
public java.lang.String toString()
toString
in class AbstractGenerator<E>
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