Class XorShift1024StarPhiRandom
 All Implemented Interfaces:
Serializable
,java.util.random.RandomGenerator
By using the supplied jump()
method it is possible to generate nonoverlapping long sequences
for parallel computations. This class provides also a split()
method to support recursive parallel computations, in the spirit of
SplittableRandom
.
Warning: before release 2.6.3, the split()
method
would not alter the state of the caller, and it would return instances initialized in the same
way if called multiple times. This was a major mistake in the implementation and it has been fixed,
but as a consequence the output of the caller after a call to split()
is
now different, and the result of split()
is initialized in a different way.
Note that this is not a secure generator.

Nested Class Summary
Nested classes/interfaces inherited from interface java.util.random.RandomGenerator
java.util.random.RandomGenerator.ArbitrarilyJumpableGenerator, java.util.random.RandomGenerator.JumpableGenerator, java.util.random.RandomGenerator.LeapableGenerator, java.util.random.RandomGenerator.SplittableGenerator, java.util.random.RandomGenerator.StreamableGenerator

Constructor Summary
ConstructorDescriptionCreates a new generator seeded usingUtil.randomSeed()
.XorShift1024StarPhiRandom
(long seed) Creates a new generator using a given seed. 
Method Summary
Modifier and TypeMethodDescriptionvoid
jump()
The jump function for this generator.protected int
next
(int bits) boolean
void
nextBytes
(byte[] bytes) double
double
Returns the next pseudorandom, uniformly distributeddouble
value between0.0
and1.0
from this random number generator's sequence, using a fast multiplicationfree method which, however, can provide only 52 significant bits.float
int
nextInt()
int
nextInt
(int n) long
nextLong()
long
nextLong
(long n) Returns a pseudorandom uniformly distributedlong
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.void
setSeed
(long seed) Sets the seed of this generator.void
setState
(long[] state, int p) Sets the state of this generator.split()
Returns a new instance that shares no mutable state with this instance.Methods inherited from class java.util.Random
doubles, doubles, doubles, doubles, ints, ints, ints, ints, longs, longs, longs, longs, nextGaussian
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface java.util.random.RandomGenerator
isDeprecated, nextDouble, nextDouble, nextExponential, nextFloat, nextFloat, nextGaussian, nextInt, nextLong

Constructor Details

XorShift1024StarPhiRandom
public XorShift1024StarPhiRandom()Creates a new generator seeded usingUtil.randomSeed()
. 
XorShift1024StarPhiRandom
public XorShift1024StarPhiRandom(long seed) Creates a new generator using a given seed. Parameters:
seed
 a seed for the generator.


Method Details

next
protected int next(int bits) 
nextLong
public long nextLong() 
nextInt
public int nextInt() 
nextInt
public int nextInt(int n) 
nextLong
public long nextLong(long n) Returns a pseudorandom uniformly distributedlong
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. The algorithm used to generate the value guarantees that the result is uniform, provided that the sequence of 64bit values produced by this generator is. Parameters:
n
 the positive bound on the random number to be returned. Returns:
 the next pseudorandom
long
value between0
(inclusive) andn
(exclusive).

nextDouble
public double nextDouble() Specified by:
nextDouble
in interfacejava.util.random.RandomGenerator
 Overrides:
nextDouble
in classRandom

nextDoubleFast
public double nextDoubleFast()Returns the next pseudorandom, uniformly distributeddouble
value between0.0
and1.0
from this random number generator's sequence, using a fast multiplicationfree method which, however, can provide only 52 significant bits.This method is faster than
nextDouble()
, but it can return only dyadic rationals of the form k / 2^{−52}, instead of the standard k / 2^{−53}.The only difference between the output of this method and that of
nextDouble()
is an additional least significant bit set in half of the returned values. For most applications, this difference is negligible. Returns:
 the next pseudorandom, uniformly distributed
double
value between0.0
and1.0
from this random number generator's sequence, using 52 significant bits only.

nextFloat
public float nextFloat() 
nextBoolean
public boolean nextBoolean() Specified by:
nextBoolean
in interfacejava.util.random.RandomGenerator
 Overrides:
nextBoolean
in classRandom

nextBytes
public void nextBytes(byte[] bytes) 
jump
public void jump()The jump function for this generator. It is equivalent to 2^{512} calls tonextLong()
; it can be used to generate 2^{512} nonoverlapping subsequences for parallel computations. 
split
Returns a new instance that shares no mutable state with this instance. The sequence generated by the new instance depends deterministically from the state of this instance, but the probability that the sequence generated by this instance and by the new instance overlap is negligible.Warning: before release 2.6.3, this method would not alter the state of the caller, and it would return instances initialized in the same way if called multiple times. This was a major mistake in the implementation and it has been fixed, but as a consequence the output of this instance after a call to this method is now different, and the returned instance is initialized in a different way.
 Returns:
 the new instance.

setSeed
public void setSeed(long seed) Sets the seed of this generator.The argument will be used to seed a
SplitMix64RandomGenerator
, whose output will in turn be used to seed this generator. This approach makes “warmup” unnecessary, and makes the probability of starting from a state with a large fraction of bits set to zero astronomically small. 
setState
public void setState(long[] state, int p) Sets the state of this generator.The internal state of the generator will be reset, and the state array filled with the provided array.
 Parameters:
state
 an array of 16 longs; at least one must be nonzero.p
 the internal index.
