org.databene.benerator.primitive.number
Class AbstractBigIntegerGenerator

java.lang.Object
  extended by org.databene.benerator.util.AbstractGenerator<E>
      extended by org.databene.benerator.util.AbstractNonNullGenerator<E>
          extended by org.databene.benerator.primitive.number.AbstractNonNullNumberGenerator<java.math.BigInteger>
              extended by org.databene.benerator.primitive.number.AbstractBigIntegerGenerator
All Implemented Interfaces:
java.io.Closeable, Generator<java.math.BigInteger>, NonNullGenerator<java.math.BigInteger>, org.databene.commons.Resettable, org.databene.commons.ThreadAware

public abstract class AbstractBigIntegerGenerator
extends AbstractNonNullNumberGenerator<java.math.BigInteger>

Wrapper for a LongGenerator that maps the generated Longs to BigIntegers.

Created: 07.06.2006 19:04:08

Author:
Volker Bergmann

Field Summary
 
Fields inherited from class org.databene.benerator.primitive.number.AbstractNonNullNumberGenerator
generatedType, granularity, max, min
 
Fields inherited from class org.databene.benerator.util.AbstractGenerator
context, logger, state
 
Constructor Summary
AbstractBigIntegerGenerator()
          Initializes the generator to create uniformly distributed random BigIntegers with granularity 1
AbstractBigIntegerGenerator(java.math.BigInteger min, java.math.BigInteger max)
          Initializes the generator to create uniformly distributed random BigIntegers with granularity 1
AbstractBigIntegerGenerator(java.math.BigInteger min, java.math.BigInteger max, java.math.BigInteger granularity)
          Initializes the generator to create uniformly distributed random BigIntegers with the specified granularity
 
Method Summary
 
Methods inherited from class org.databene.benerator.primitive.number.AbstractNonNullNumberGenerator
getGeneratedType, getGranularity, getMax, getMin, init, isParallelizable, isThreadSafe, setGranularity, setMax, setMin
 
Methods inherited from class org.databene.benerator.util.AbstractNonNullGenerator
generate, generate
 
Methods inherited from class org.databene.benerator.util.AbstractGenerator
assertInitialized, assertNotInitialized, close, getResultWrapper, reset, toString, wasInitialized
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 
Methods inherited from interface org.databene.benerator.Generator
close, wasInitialized
 
Methods inherited from interface org.databene.commons.Resettable
reset
 

Constructor Detail

AbstractBigIntegerGenerator

public AbstractBigIntegerGenerator()
Initializes the generator to create uniformly distributed random BigIntegers with granularity 1


AbstractBigIntegerGenerator

public AbstractBigIntegerGenerator(java.math.BigInteger min,
                                   java.math.BigInteger max)
Initializes the generator to create uniformly distributed random BigIntegers with granularity 1


AbstractBigIntegerGenerator

public AbstractBigIntegerGenerator(java.math.BigInteger min,
                                   java.math.BigInteger max,
                                   java.math.BigInteger granularity)
Initializes the generator to create uniformly distributed random BigIntegers with the specified granularity



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