DiscreteSampler (Apache Commons RNG 1.6)

All Known Subinterfaces:

SharedStateDiscreteSampler

All Known Implementing Classes:

AliasMethodDiscreteSampler, DiscreteUniformSampler, FastLoadedDiceRollerDiscreteSampler, GuideTableDiscreteSampler, InverseTransformDiscreteSampler, KempSmallMeanPoissonSampler, LargeMeanPoissonSampler, PoissonSampler, RejectionInversionZipfSampler, SmallMeanPoissonSampler
```
public interface DiscreteSampler
```
Sampler that generates values of type int.

Since:

1.0

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`int`	`sample()`	Creates an `int` sample.
`default IntStream`	`samples()`	Returns an effectively unlimited stream of `int` sample values.
`default IntStream`	`samples(long streamSize)`	Returns a stream producing the given `streamSize` number of `int` sample values.

- Method Detail
  - sample
```
int sample()
```
    Creates an int sample.
    
    Returns:
    
    a sample.
  - samples
```
default IntStream samples()
```
    Returns an effectively unlimited stream of int sample values.
    The default implementation produces a sequential stream that repeatedly calls sample().
    
    Returns:
    
    a stream of int values.
    
    Since:
    
    1.5
  - samples
```
default IntStream samples(long streamSize)
```
    Returns a stream producing the given streamSize number of int sample values.
    The default implementation produces a sequential stream that repeatedly calls sample(); the stream is limited to the given streamSize.
    
    Parameters:
    
    streamSize - Number of values to generate.
    
    Returns:
    
    a stream of int values.
    
    Since:
    
    1.5