Class StatefulRandom

java.lang.Object

com.knezevic.edaf.v3.core.rng.StatefulRandom

All Implemented Interfaces:

Serializable

public final class StatefulRandom
extends Object
implements Serializable

Lightweight deterministic RNG with explicit serializable state. This implementation uses xorshift64* for reproducible stream state persistence.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
StatefulRandom(long seed)

Method Summary

Modifier and Type	Method	Description
double	gaussianCache()
boolean	hasGaussian()
double	nextDouble()	Returns a uniformly distributed double in [0, 1).
double	nextGaussian()	Returns a normal distributed sample using Box-Muller transform.
int	nextInt(int bound)	Returns a uniformly distributed integer in [0, bound).
long	nextLong()	Returns a uniformly distributed long.
void	restore(long state, boolean hasGaussian, double gaussian)
long	state()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

StatefulRandom

public StatefulRandom(long seed)

Method Details

state

public long state()

restore

public void restore(long state,
 boolean hasGaussian,
 double gaussian)

hasGaussian

public boolean hasGaussian()

gaussianCache

public double gaussianCache()

nextLong

public long nextLong()

Returns a uniformly distributed long.

nextDouble

public double nextDouble()

Returns a uniformly distributed double in [0, 1).

nextInt

public int nextInt(int bound)

Returns a uniformly distributed integer in [0, bound).

nextGaussian

public double nextGaussian()

Returns a normal distributed sample using Box-Muller transform.