Class DiscreteUniformSampler.LargeRangeDiscreteUniformSampler
- java.lang.Object
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- org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler.AbstractDiscreteUniformSampler
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- org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler.LargeRangeDiscreteUniformSampler
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- All Implemented Interfaces:
DiscreteSampler
,SharedStateDiscreteSampler
,SharedStateSampler<SharedStateDiscreteSampler>
- Enclosing class:
- DiscreteUniformSampler
private static class DiscreteUniformSampler.LargeRangeDiscreteUniformSampler extends DiscreteUniformSampler.AbstractDiscreteUniformSampler
Discrete uniform distribution sampler when the range between lower and upper is too large to fit in a positive integer.
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Field Summary
Fields Modifier and Type Field Description private int
lower
Lower bound.private int
upper
Upper bound.-
Fields inherited from class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler.AbstractDiscreteUniformSampler
rng
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Constructor Summary
Constructors Constructor Description LargeRangeDiscreteUniformSampler(UniformRandomProvider rng, int lower, int upper)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description int
sample()
Creates anint
sample.SharedStateDiscreteSampler
withUniformRandomProvider(UniformRandomProvider rng)
Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.-
Methods inherited from class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler.AbstractDiscreteUniformSampler
toString
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface org.apache.commons.rng.sampling.distribution.DiscreteSampler
samples, samples
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Constructor Detail
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LargeRangeDiscreteUniformSampler
LargeRangeDiscreteUniformSampler(UniformRandomProvider rng, int lower, int upper)
- Parameters:
rng
- Generator of uniformly distributed random numbers.lower
- Lower bound (inclusive) of the distribution.upper
- Upper bound (inclusive) of the distribution.
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Method Detail
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sample
public int sample()
Description copied from interface:DiscreteSampler
Creates anint
sample.- Returns:
- a sample.
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withUniformRandomProvider
public SharedStateDiscreteSampler withUniformRandomProvider(UniformRandomProvider rng)
Description copied from interface:SharedStateSampler
Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
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