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 -
Field Summary
Fields -
Constructor Summary
ConstructorsConstructorDescriptionCreates a new HornRandom with a random state.HornRandom(long state) Creates a new HornRandom with the given state; alllongvalues 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.boolean2 to the 64.longgetSelectedState(int selection) Gets the only state, which can be any long value.longgetState()Gets the current state; it's already public, but I guess this could still be useful.intThis has one long state.getTag()Gets the tag used to identify this type of EnhancedRandom, as a String.intnext(int bits) Generates the next pseudorandom number with a specific maximum size in bits (not a max number).longnextLong()Returns the next pseudorandom, uniformly distributedlongvalue from this random number generator's sequence.longOptional; moves the state to its previous value and returns the previous long that would have been produced byEnhancedRandom.nextLong().voidsetSeed(long seed) Sets the only state, which can be given any long value; this seed value will not be altered.voidsetSelectedState(int selection, long value) Sets the only state, which can be given any long value.voidsetState(long state) Sets each state variable to the givenstate.longskip(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, nextGaussianFloat, nextGaussianFloat, 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, writeExternalMethods inherited from class java.util.Random
doubles, doubles, doubles, doubles, ints, ints, ints, ints, longs, longs, longs, longsMethods inherited from class java.lang.Object
clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods 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
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HornRandom
public HornRandom()Creates a new HornRandom with a random state. -
HornRandom
public HornRandom(long state) Creates a new HornRandom with the given state; alllongvalues are permitted.- Parameters:
state- anylongvalue
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Method Details
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getTag
Description copied from class:EnhancedRandomGets 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:
getTagin classEnhancedRandom- Returns:
- a unique String identifier for this type of EnhancedRandom; usually 4 chars long.
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getMinimumPeriod
2 to the 64.- Overrides:
getMinimumPeriodin classEnhancedRandom- Returns:
- 2 to the 64
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getStateCount
public int getStateCount()This has one long state.- Overrides:
getStateCountin classEnhancedRandom- Returns:
- 1 (one)
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getSelectedState
public long getSelectedState(int selection) Gets the only state, which can be any long value.- Overrides:
getSelectedStatein classEnhancedRandom- Parameters:
selection- ignored; this always returns the same, only state- Returns:
- the only state's exact value
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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:
setSelectedStatein classEnhancedRandom- Parameters:
selection- ignored; this always sets the same, only statevalue- the exact value to use for the state; all longs are valid
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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 andseedpassed as thevalue.- Specified by:
setSeedin classEnhancedRandom- Parameters:
seed- the exact value to use for the state; all longs are valid
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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
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setState
public void setState(long state) Sets each state variable to the givenstate. This implementation simply sets the one state variable tostate.- Overrides:
setStatein classEnhancedRandom- Parameters:
state- the long value to use for the state variable
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nextLong
public long nextLong()Description copied from class:EnhancedRandomReturns the next pseudorandom, uniformly distributedlongvalue from this random number generator's sequence. The general contract ofnextLongis that onelongvalue 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:
nextLongin interfaceRandomGenerator- Specified by:
nextLongin classEnhancedRandom- Returns:
- the next pseudorandom, uniformly distributed
longvalue from this random number generator's sequence
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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 samelongas 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 thelongbefore 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:
skipin classEnhancedRandom- Parameters:
advance- how many steps to advance the state before generating along- Returns:
- a random
longby the same algorithm asnextLong(), using the appropriately-advanced state
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previousLong
public long previousLong()Description copied from class:EnhancedRandomOptional; 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 generateintresults typically producelongvalues 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 producelongvalues usually don't need to implementEnhancedRandom.previousInt(), but those that produceintusually 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:
previousLongin 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:EnhancedRandomGenerates 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). Forbitsvalues 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. Ifbitsis 31, this can return any non-negativeint; note thatnextInt(1 << 31)won't behave this way because1 << 31is negative. Ifbitsis 32 (or 0), this can return anyint.The general contract of
nextis that it returns anintvalue and if the argumentbitsis between1and32(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 be0or1.Note that you can give this values for
bitsthat 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:
nextin 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:EnhancedRandomCreates 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:
copyin classEnhancedRandom- Returns:
- a deep copy of this EnhancedRandom.
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equals
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toString
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