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Packages that use AbstractNonNullNumberGenerator | |
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org.databene.benerator.distribution | |
org.databene.benerator.distribution.sequence | |
org.databene.benerator.primitive.number | Defines a small framework for generating numbers of all built-in Java number types (byte, short, int, long, BigInteger, float, double, BigDecimal) resulting from a sequence or being distributed according a distribution function. |
org.databene.benerator.test | |
org.databene.domain.math |
Uses of AbstractNonNullNumberGenerator in org.databene.benerator.distribution |
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Subclasses of AbstractNonNullNumberGenerator in org.databene.benerator.distribution | |
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static class |
CumulativeDistributionFunction.IPINumberGenerator<E extends Number>
Generates numbers according to an CumulativeDistributionFunction . |
class |
WeightedDoubleGenerator
Double Generator that supports a weight function. |
class |
WeightedLongGenerator
Long Generator that supports a weight function. |
Uses of AbstractNonNullNumberGenerator in org.databene.benerator.distribution.sequence |
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Subclasses of AbstractNonNullNumberGenerator in org.databene.benerator.distribution.sequence | |
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class |
BitReverseLongGenerator
Generates integers reversing the bits of a continuously rising number. |
class |
CumulatedDoubleGenerator
Double Generator that implements a 'cumulated' Double Sequence. |
class |
CumulatedLongGenerator
Long Generator that implements a 'cumulated' Long Sequence. |
class |
RandomDoubleGenerator
Double Generator that implements a 'random' Double Sequence. |
class |
RandomIntegerGenerator
Creates random Integer values with a uniform distribution. |
class |
RandomLongGenerator
Long Generator that implements a 'random' Long Sequence. |
class |
RandomWalkDoubleGenerator
Double Generator that implements a 'randomWalk' Double Sequence. |
class |
RandomWalkLongGenerator
Long Generator that implements a 'randomWalk' Long Sequence. |
class |
ShuffleDoubleGenerator
Double Generator that implements a 'shuffle' Double Sequence. |
class |
ShuffleLongGenerator
Long Generator that implements a 'shuffle' Long Sequence: It starts with min and produced numbers by continuously incrementing the cursor by a fix increment value; when max is reached, it
repeats the procedure starting by min+granularity, later min+2*granularity and so on. |
class |
StepDoubleGenerator
Double Generator that implements a 'step' Double Sequence. |
class |
StepLongGenerator
Long Generator that implements a 'step' Long Sequence. |
class |
WedgeDoubleGenerator
Generates 'Double' values for the 'wedge' sequence. |
class |
WedgeLongGenerator
Long Generator that implements a 'wedge' Long Sequence. |
Uses of AbstractNonNullNumberGenerator in org.databene.benerator.primitive.number |
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Subclasses of AbstractNonNullNumberGenerator in org.databene.benerator.primitive.number | |
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class |
AbstractBigDecimalGenerator
Wrapper for a LongGenerator that maps the generated Longs to BigDecimals. |
class |
AbstractBigIntegerGenerator
Wrapper for a LongGenerator that maps the generated Longs to BigIntegers. |
class |
RecurrenceRelationNumberGenerator<E extends Number>
Parent class for Number Generators that calculate numbers recursively. |
Uses of AbstractNonNullNumberGenerator in org.databene.benerator.test |
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Method parameters in org.databene.benerator.test with type arguments of type AbstractNonNullNumberGenerator | ||
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static
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GeneratorTest.checkEqualDistribution(java.lang.Class<? extends AbstractNonNullNumberGenerator<T>> generatorClass,
T min,
T max,
T granularity,
int iterations,
double tolerance,
java.util.Set<T> expectedSet)
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static
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GeneratorTest.checkEqualDistribution(java.lang.Class<? extends AbstractNonNullNumberGenerator<T>> generatorClass,
T min,
T max,
T granularity,
int iterations,
double tolerance,
T... expectedValues)
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Uses of AbstractNonNullNumberGenerator in org.databene.domain.math |
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Subclasses of AbstractNonNullNumberGenerator in org.databene.domain.math | |
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class |
FibonacciLongGenerator
Generates Fibonacci Numbers. |
class |
PadovanLongGenerator
Generates numbers according to the Padovan Sequence. |
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