Class L32X64Mix
- All Implemented Interfaces:
RandomIntSource, JumpableUniformRandomProvider, LongJumpableUniformRandomProvider, RestorableUniformRandomProvider, SplittableUniformRandomProvider, UniformRandomProvider
This is a member of the LXM family of generators: L=Linear congruential generator;
X=Xor based generator; and M=Mix. This member uses a 32-bit LCG and 64-bit Xor-based
generator. It is named as "L32X64MixRandom" in the java.util.random
package introduced in JDK 17; the LXM family is described in further detail in:
Steele and Vigna (2021) LXM: better splittable pseudorandom number generators (and almost as fast). Proceedings of the ACM on Programming Languages, Volume 5, Article 148, pp 1–31.
Memory footprint is 128 bits and the period is 232 (264 - 1).
This generator implements LongJumpableUniformRandomProvider.
In addition instances created with a different additive parameter for the LCG are robust
against accidental correlation in a multi-threaded setting. The additive parameters must be
different in the most significant 31-bits.
This generator implements
SplittableUniformRandomProvider.
The stream of generators created using the splits methods support parallelisation
and are robust against accidental correlation by using unique values for the additive parameter
for each instance in the same stream. The primitive streaming methods support parallelisation
but with no assurances of accidental correlation; each thread uses a new instance with a
randomly initialised state.
- Since:
- 1.5
- See Also:
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Field Summary
FieldsModifier and TypeFieldDescriptionprivate intPer-instance LCG additive parameter (must be odd).private intState of the LCG generator.private static final intLCG multiplier.private static final intSize of the state vector.private intState 0 of the XBG generator.private intState 1 of the XBG generator. -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionprivate static SplittableUniformRandomProvidercreate(long seed, UniformRandomProvider source) Create a new instance using the givenseedandsourceof randomness to initialise the instance.protected byte[]Creates a snapshot of the RNG state.jump()Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.longJump()Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.intnext()Return the next random value.private voidsetState(int[] state) Copies the state into the generator state.protected voidsetStateInternal(byte[] s) Resets the RNG to the givenstate.split(UniformRandomProvider source) Creates a new random generator, split off from this one, that implements theSplittableUniformRandomProviderinterface.splits(long streamSize, SplittableUniformRandomProvider source) Returns a stream producing the givenstreamSizenumber of new random generators, each of which implements theSplittableUniformRandomProviderinterface.Methods inherited from class IntProvider
nextBoolean, nextBytes, nextBytes, nextBytesFill, nextDouble, nextInt, nextLong, resetCachedStateMethods inherited from class BaseProvider
checkIndex, checkStateSize, composeStateInternal, extendSeed, extendSeed, fillState, fillState, restoreState, saveState, splitStateInternal, toStringMethods inherited from class Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface JumpableUniformRandomProvider
jumps, jumpsMethods inherited from interface LongJumpableUniformRandomProvider
longJumps, longJumpsMethods inherited from interface SplittableUniformRandomProvider
doubles, doubles, doubles, doubles, ints, ints, ints, ints, longs, longs, longs, longs, split, splits, splits, splitsMethods inherited from interface UniformRandomProvider
nextBoolean, nextBytes, nextBytes, nextDouble, nextDouble, nextDouble, nextFloat, nextFloat, nextFloat, nextInt, nextInt, nextInt, nextLong, nextLong, nextLong
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Field Details
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M
private static final int MLCG multiplier.- See Also:
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SEED_SIZE
private static final int SEED_SIZESize of the state vector.- See Also:
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la
private int laPer-instance LCG additive parameter (must be odd). Cannot be final to support RestorableUniformRandomProvider. -
ls
private int lsState of the LCG generator. -
x0
private int x0State 0 of the XBG generator. -
x1
private int x1State 1 of the XBG generator.
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Constructor Details
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L32X64Mix
public L32X64Mix(int[] seed) Creates a new instance.- Parameters:
seed- Initial seed. If the length is larger than 4, only the first 4 elements will be used; if smaller, the remaining elements will be automatically set. A seed containing all zeros in the last two elements will create a non-functional XBG sub-generator and a low quality output with a period of 232.The 1st element is used to set the LCG increment; the least significant bit is set to odd to ensure a full period LCG. The 2nd element is used to set the LCG state.
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L32X64Mix
public L32X64Mix(int seed0, int seed1, int seed2, int seed3) Creates a new instance using a 4 element seed. A seed containing all zeros in the last two elements will create a non-functional XBG sub-generator and a low quality output with a period of 232.The 1st element is used to set the LCG increment; the least significant bit is set to odd to ensure a full period LCG. The 2nd element is used to set the LCG state.
- Parameters:
seed0- Initial seed element 0.seed1- Initial seed element 1.seed2- Initial seed element 2.seed3- Initial seed element 3.
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L32X64Mix
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Method Details
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setState
private void setState(int[] state) Copies the state into the generator state.- Parameters:
state- the new state
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getStateInternal
protected byte[] getStateInternal()Creates a snapshot of the RNG state.- Overrides:
getStateInternalin classIntProvider- Returns:
- the internal state.
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setStateInternal
protected void setStateInternal(byte[] s) Resets the RNG to the givenstate.- Overrides:
setStateInternalin classIntProvider- Parameters:
s- State (previously obtained by a call toBaseProvider.getStateInternal()).- See Also:
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next
public int next()Return the next random value.- Specified by:
nextin interfaceRandomIntSource- Returns:
- the next random value.
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jump
Creates a copy of the UniformRandomProvider and then retreats the state of the current instance. The copy is returned.The jump is performed by advancing the state of the LCG sub-generator by 1 cycle. The XBG state is unchanged. The jump size is the equivalent of moving the state backwards by (264 - 1) positions. It can provide up to 232 non-overlapping subsequences.
- Specified by:
jumpin interfaceJumpableUniformRandomProvider- Returns:
- A copy of the current state.
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longJump
Creates a copy of the UniformRandomProvider and then retreats the state of the current instance. The copy is returned.The jump is performed by advancing the state of the LCG sub-generator by 216 cycles. The XBG state is unchanged. The jump size is the equivalent of moving the state backwards by 216 (264 - 1) positions. It can provide up to 216 non-overlapping subsequences of length 216 (264 - 1); each subsequence can provide up to 216 non-overlapping subsequences of length (264 - 1) using the
jump()method.- Specified by:
longJumpin interfaceLongJumpableUniformRandomProvider- Returns:
- A copy of the current state.
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split
Creates a new random generator, split off from this one, that implements theSplittableUniformRandomProviderinterface.- Specified by:
splitin interfaceSplittableUniformRandomProvider- Parameters:
source- A source of randomness used to initialise the new instance.- Returns:
- A new instance.
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splits
public Stream<SplittableUniformRandomProvider> splits(long streamSize, SplittableUniformRandomProvider source) Returns a stream producing the givenstreamSizenumber of new random generators, each of which implements theSplittableUniformRandomProviderinterface.- Specified by:
splitsin interfaceSplittableUniformRandomProvider- Parameters:
streamSize- Number of objects to generate.source- A source of randomness used to initialise the new instances; this may be split to provide a source of randomness across a parallel stream.- Returns:
- a stream of random generators; the stream is limited to the given
streamSize.
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create
Create a new instance using the givenseedandsourceof randomness to initialise the instance.- Parameters:
seed- Seed used to initialise the instance.source- Source of randomness used to initialise the instance.- Returns:
- A new instance.
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