Package com.github.tommyettinger.random
Class HornRandom
java.lang.Object
java.util.Random
com.github.tommyettinger.random.EnhancedRandom
com.github.tommyettinger.random.HornRandom
- All Implemented Interfaces:
Externalizable
,Serializable
,RandomGenerator
A tiny hash-on-counter generator that has been designed specifically to use only constants that a human can remember.
Uses two bijective Xor-Square-Or operations along with a bitwise rotation and a xor-shift. Allows all states, and
will eventually produce every 64-bit output from
The constants used here are
The most complicated operation here is xor-square-or, which unlike most math involving multiplying a number by itself, is possible to invert (it is bijective), which is a critical property to ensure equidistribution. The inverse can be found here along with the thread that discovered the pattern is bijective in the first place. Xor-square-or, or XQO, looks like
This generator is strongly inspired by the design (and memorability) of the Squares generator, but unlike Squares, this generator is 1D-equidistributed and does not use a "key". You can swap out
You can use a very similar algorithm as a stateless hash function with
The name comes from how a horn fits on a ram, and this generator should fit in a person's random-access memory.
nextLong()
(it is 1D-equidistributed exactly). This
generator passes 64TB of PractRand testing with no anomalies. It also passes Initial Correlation Evaluator (ICE)
tests, including Immediate Initial Correlation Evaluator (IICE) tests, which mostly means the unary hash function
used is high-quality when given sufficiently-different inputs. The large odd-number counter used here guarantees all
inputs to the hash will be quite different when used as a PRNG.
The constants used here are
5555555555555555555L
for the counter increment (nineteen decimal digits, all of
them 5
; if you try using twenty repetitions of 5
, that won't fit in a long
), bitwise OR with
7, and bitwise unsigned right shifts by 27 (with a left shift by -27 to make one a bitwise rotation).
The most complicated operation here is xor-square-or, which unlike most math involving multiplying a number by itself, is possible to invert (it is bijective), which is a critical property to ensure equidistribution. The inverse can be found here along with the thread that discovered the pattern is bijective in the first place. Xor-square-or, or XQO, looks like
x ^= (x * x) | 1;
, with some variations possible; any odd number can be used instead of 1. In the
most extreme case, 1 can be replaced with -1, which makes the entire step equivalent to `x ^= -1;` or `x = ~x;`,
which is also a bijection (every input x
corresponds to exactly one different output ~x
). The reason
squaring is preferable to a multiplication by a constant is simply performance; according to
Godbolt Compiler Explorer, squaring a 64-bit variable requires only two
expensive vpmuludq
operations, while multiplying a 64-bit variable by a 64-bit constant requires three. This
is also the reason why a bitwise rotation is used directly instead of a more-typical xor-shift in the third line;
xor-shift requires two operations (a XOR and an unsigned right shift), while in theory a bitwise rotation can be only
one operation. It isn't a single operation in Compiler Explorer's output (for whatever reason, Clang performs a left
and a right shift and bitwise ORs them, which may be faster for AVX vectors), but it might be in the JVM's output.
This generator is strongly inspired by the design (and memorability) of the Squares generator, but unlike Squares, this generator is 1D-equidistributed and does not use a "key". You can swap out
5555555555555555555L
for any odd constant of
your choice, which has similar results to changing the key in Squares. Some constants are not good choices, such as
1L
or 5L
, and you can run any odd long through EnhancedRandom.fixGamma(long, int)
with a
threshold as low as 1 to find a "better" increment/key/gamma/stream constant. 5555555555555555555L
works if
the threshold is 3 or higher, and won't be changed in that case.
You can use a very similar algorithm as a stateless hash function with
Hasher.randomizeH(long)
. There are sometimes advantages to using a stateless
function, such as in massively-parallel contexts, that individual random number generator objects can't beat.
The name comes from how a horn fits on a ram, and this generator should fit in a person's random-access memory.
- See Also:
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Nested Class Summary
Nested classes/interfaces inherited from interface java.util.random.RandomGenerator
RandomGenerator.ArbitrarilyJumpableGenerator, RandomGenerator.JumpableGenerator, RandomGenerator.LeapableGenerator, RandomGenerator.SplittableGenerator, RandomGenerator.StreamableGenerator
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Field Summary
Fields -
Constructor Summary
ConstructorsConstructorDescriptionCreates a new HornRandom with a random state.HornRandom
(long state) Creates a new HornRandom with the given state; alllong
values are permitted. -
Method Summary
Modifier and TypeMethodDescriptioncopy()
Creates a new EnhancedRandom with identical states to this one, so if the same EnhancedRandom methods are called on this object and its copy (in the same order), the same outputs will be produced.boolean
2 to the 64.long
getSelectedState
(int selection) Gets the only state, which can be any long value.long
getState()
Gets the current state; it's already public, but I guess this could still be useful.int
This has one long state.getTag()
Gets the tag used to identify this type of EnhancedRandom, as a String.int
next
(int bits) Generates the next pseudorandom number with a specific maximum size in bits (not a max number).long
nextLong()
Returns the next pseudorandom, uniformly distributedlong
value from this random number generator's sequence.long
Optional; moves the state to its previous value and returns the previous long that would have been produced byEnhancedRandom.nextLong()
.void
setSeed
(long seed) Sets the only state, which can be given any long value; this seed value will not be altered.void
setSelectedState
(int selection, long value) Sets the only state, which can be given any long value.void
setState
(long state) Sets each state variable to the givenstate
.long
skip
(long advance) Skips the state forward or backwards by the givenadvance
, then returns the result ofnextLong()
at the same point in the sequence.toString()
Methods inherited from class com.github.tommyettinger.random.EnhancedRandom
appendSerialized, appendSerialized, areEqual, fixGamma, fixGamma, lcm, mainlyGeneratesInt, maxDoubleOf, maxFloatOf, maxIntOf, maxLongOf, minDoubleOf, minFloatOf, minIntOf, minLongOf, nextBoolean, nextBoolean, nextBytes, nextDouble, nextDouble, nextDouble, nextExclusiveDouble, nextExclusiveDouble, nextExclusiveDouble, nextExclusiveDoubleEquidistant, nextExclusiveFloat, nextExclusiveFloat, nextExclusiveFloat, nextExclusiveFloatEquidistant, nextExclusiveSignedDouble, nextExclusiveSignedFloat, nextExponential, nextFloat, nextFloat, nextFloat, nextGaussian, nextGaussian, nextInclusiveDouble, nextInclusiveDouble, nextInclusiveDouble, nextInclusiveFloat, nextInclusiveFloat, nextInclusiveFloat, nextInt, nextInt, nextInt, nextLong, nextLong, nextSign, nextSignedInt, nextSignedInt, nextSignedLong, nextSignedLong, nextTriangular, nextTriangular, nextTriangular, nextTriangular, nextUnsignedInt, previousInt, probit, randomElement, randomElement, rateGamma, readExternal, seedFromMath, setState, setState, setState, setState, setState, setState, setWith, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, shuffle, stringDeserialize, stringDeserialize, stringSerialize, stringSerialize, writeExternal
Methods inherited from class java.util.Random
doubles, doubles, doubles, doubles, ints, ints, ints, ints, longs, longs, longs, longs
Methods inherited from class java.lang.Object
clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface java.util.random.RandomGenerator
isDeprecated
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Field Details
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state
public long stateThe only state variable; can be anylong
.
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-
Constructor Details
-
HornRandom
public HornRandom()Creates a new HornRandom with a random state. -
HornRandom
public HornRandom(long state) Creates a new HornRandom with the given state; alllong
values are permitted.- Parameters:
state
- anylong
value
-
-
Method Details
-
getTag
Description copied from class:EnhancedRandom
Gets the tag used to identify this type of EnhancedRandom, as a String. This tag should be unique, and for uniformity purposes, all tags used in this library are 4 characters long. User-defined tags should have a different length.- Specified by:
getTag
in classEnhancedRandom
- Returns:
- a unique String identifier for this type of EnhancedRandom; usually 4 chars long.
-
getMinimumPeriod
2 to the 64.- Overrides:
getMinimumPeriod
in classEnhancedRandom
- Returns:
- 2 to the 64
-
getStateCount
public int getStateCount()This has one long state.- Overrides:
getStateCount
in classEnhancedRandom
- Returns:
- 1 (one)
-
getSelectedState
public long getSelectedState(int selection) Gets the only state, which can be any long value.- Overrides:
getSelectedState
in classEnhancedRandom
- Parameters:
selection
- ignored; this always returns the same, only state- Returns:
- the only state's exact value
-
setSelectedState
public void setSelectedState(int selection, long value) Sets the only state, which can be given any long value. The selection can be anything and is ignored.- Overrides:
setSelectedState
in classEnhancedRandom
- Parameters:
selection
- ignored; this always sets the same, only statevalue
- the exact value to use for the state; all longs are valid
-
setSeed
public void setSeed(long seed) Sets the only state, which can be given any long value; this seed value will not be altered. Equivalent tosetSelectedState(int, long)
with any selection andseed
passed as thevalue
.- Specified by:
setSeed
in classEnhancedRandom
- Parameters:
seed
- the exact value to use for the state; all longs are valid
-
getState
public long getState()Gets the current state; it's already public, but I guess this could still be useful. The state can be anylong
.- Returns:
- the current state, as a long
-
setState
public void setState(long state) Sets each state variable to the givenstate
. This implementation simply sets the one state variable tostate
.- Overrides:
setState
in classEnhancedRandom
- Parameters:
state
- the long value to use for the state variable
-
nextLong
public long nextLong()Description copied from class:EnhancedRandom
Returns the next pseudorandom, uniformly distributedlong
value from this random number generator's sequence. The general contract ofnextLong
is that onelong
value is pseudorandomly generated and returned.
The only methods that need to be implemented by this interface are this andEnhancedRandom.copy()
, though other methods can be implemented as appropriate for generators that, for instance, natively produce ints rather than longs.- Specified by:
nextLong
in interfaceRandomGenerator
- Specified by:
nextLong
in classEnhancedRandom
- Returns:
- the next pseudorandom, uniformly distributed
long
value from this random number generator's sequence
-
skip
public long skip(long advance) Skips the state forward or backwards by the givenadvance
, then returns the result ofnextLong()
at the same point in the sequence. If advance is 1, this is equivalent to nextLong(). If advance is 0, this returns the samelong
as the previous call to the generator (if it called nextLong()), and doesn't change the state. If advance is -1, this moves the state backwards and produces thelong
before the last one generated by nextLong(). More positive numbers move the state further ahead, and more negative numbers move the state further behind; all of these take constant time.- Overrides:
skip
in classEnhancedRandom
- Parameters:
advance
- how many steps to advance the state before generating along
- Returns:
- a random
long
by the same algorithm asnextLong()
, using the appropriately-advanced state
-
previousLong
public long previousLong()Description copied from class:EnhancedRandom
Optional; moves the state to its previous value and returns the previous long that would have been produced byEnhancedRandom.nextLong()
. This can be equivalent to callingEnhancedRandom.skip(long)
with -1L, but not always; many generators can't efficiently skip long distances, but can step back by one value.
Generators that natively generateint
results typically producelong
values by generating an int for the high 32 bits and an int for the low 32 bits. When producing the previous long, the order the high and low bits are generated, such as byEnhancedRandom.previousInt()
, should be reversed. Generators that natively producelong
values usually don't need to implementEnhancedRandom.previousInt()
, but those that produceint
usually should implement it, and may optionally call previousInt() twice in this method.
If you know how to implement the reverse of a particular random number generator, it is recommended you do so here, rather than rely on skip(). This isn't always easy, but should always be possible for any decent PRNG (some historical PRNGs, such as the Middle-Square PRNG, cannot be reversed at all). If a generator cannot be reversed because multiple initial states can transition to the same subsequent state, it is known to have statistical problems that are not necessarily present in a generator that matches one initial state to one subsequent state.
The public implementation callsEnhancedRandom.skip(long)
with -1L, and if skip() has not been implemented differently, then it will throw an UnsupportedOperationException.- Overrides:
previousLong
in classEnhancedRandom
- Returns:
- the previous number this would have produced with
EnhancedRandom.nextLong()
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next
public int next(int bits) Description copied from class:EnhancedRandom
Generates the next pseudorandom number with a specific maximum size in bits (not a max number). If you want to get a random number in a range, you should usually useEnhancedRandom.nextInt(int)
instead. For some specific cases, this method is more efficient and less biased thanEnhancedRandom.nextInt(int)
. Forbits
values between 1 and 30, this should be similar in effect tonextInt(1 << bits)
; though it won't typically produce the same values, they will have the correct range. Ifbits
is 31, this can return any non-negativeint
; note thatnextInt(1 << 31)
won't behave this way because1 << 31
is negative. Ifbits
is 32 (or 0), this can return anyint
.The general contract of
next
is that it returns anint
value and if the argumentbits
is between1
and32
(inclusive), then that many low-order bits of the returned value will be (approximately) independently chosen bit values, each of which is (approximately) equally likely to be0
or1
.Note that you can give this values for
bits
that are outside its expected range of 1 to 32, but the value used, as long as bits is positive, will effectively bebits % 32
. As stated before, a value of 0 for bits is the same as a value of 32.- Overrides:
next
in classEnhancedRandom
- Parameters:
bits
- the amount of random bits to request, from 1 to 32- Returns:
- the next pseudorandom value from this random number generator's sequence
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copy
Description copied from class:EnhancedRandom
Creates a new EnhancedRandom with identical states to this one, so if the same EnhancedRandom methods are called on this object and its copy (in the same order), the same outputs will be produced. This is not guaranteed to copy the inherited state of any parent class, so if you call methods that are only implemented by a superclass (likeRandom
) and not this one, the results may differ.- Specified by:
copy
in classEnhancedRandom
- Returns:
- a deep copy of this EnhancedRandom.
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equals
-
toString
-