Package com.github.tommyettinger.random
Class MizuchiRandom
java.lang.Object
java.util.Random
com.github.tommyettinger.random.EnhancedRandom
com.github.tommyettinger.random.MizuchiRandom
- All Implemented Interfaces:
Externalizable
,Serializable
,RandomGenerator
A relatively-simple RNG that's similar to
This always has a period of 2 to the 64, and there are 2 to the 63 possible sequences that result from changing the stream value. MizuchiRandom implements all optional methods in EnhancedRandom except
MizuchiRandom passes 64TB of testing with PractRand, which uses a suite of tests to look for a variety of potential problems. It has not been tested with hwd or remortality. All the generators here are considered stable.
The name comes from combining the concept of a dragon, with streams. A mythological theme was carried throughout some generators that I designed and that were designed by others, such as Fortuna. Mizuchi allows many possible streams, so the mizuchi, a (by some versions of the story) river dragon from Japanese mythology, seemed fitting.
This is present here for two reasons. First, it can be used in cases where similar initial states are expected to be given to a two-state generator like LaserRandom (visible patterns are obviously correlated with LaserRandom but are not at all correlated with MizuchiRandom). Second, MizuchiRandom is often the fastest 64-bit generator available in the closely-related C# library ShaiRandom, and for compatibility purposes it makes sense to support this in both. This generator is not especially fast here compared to LaserRandom, especially on OpenJ9, nor is it fast compared to FourWheelRandom on HotSpot JDKs, but it does maintain its quality well.
LaserRandom
with less correlation between similar initial states,
but without the ability to EnhancedRandom.skip(long)
. It has two long
states, one of which changes with every
generated value and one always-odd state which never changes (the "stream"). This uses a linear congruential
generator for its changing state (the state changes by multiplying with a large constant and adding the stream), and
feeds the resulting value to a small, simple unary hash to get a more-random result.
This always has a period of 2 to the 64, and there are 2 to the 63 possible sequences that result from changing the stream value. MizuchiRandom implements all optional methods in EnhancedRandom except
EnhancedRandom.skip(long)
; it does implement previousLong()
without using skip().
MizuchiRandom passes 64TB of testing with PractRand, which uses a suite of tests to look for a variety of potential problems. It has not been tested with hwd or remortality. All the generators here are considered stable.
The name comes from combining the concept of a dragon, with streams. A mythological theme was carried throughout some generators that I designed and that were designed by others, such as Fortuna. Mizuchi allows many possible streams, so the mizuchi, a (by some versions of the story) river dragon from Japanese mythology, seemed fitting.
This is present here for two reasons. First, it can be used in cases where similar initial states are expected to be given to a two-state generator like LaserRandom (visible patterns are obviously correlated with LaserRandom but are not at all correlated with MizuchiRandom). Second, MizuchiRandom is often the fastest 64-bit generator available in the closely-related C# library ShaiRandom, and for compatibility purposes it makes sense to support this in both. This generator is not especially fast here compared to LaserRandom, especially on OpenJ9, nor is it fast compared to FourWheelRandom on HotSpot JDKs, but it does maintain its quality well.
- 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
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Constructor Summary
ConstructorDescriptionCreates a new MizuchiRandom with a random state.MizuchiRandom
(long seed) Creates a new MizuchiRandom with the given seed; alllong
values are permitted.MizuchiRandom
(long stateA, long stateB) Creates a new MizuchiRandom with the given two states; alllong
values are permitted for stateA, and all odd-numberlong
values are permitted for stateB. -
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
long
getSelectedState
(int selection) Gets the state determined byselection
, as-is.long
long
int
This generator has 2long
states, so this returns 2.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) This initializes both states of the generator to random values based on the given seed.void
setSelectedState
(int selection, long value) Sets one of the states, determined byselection
, tovalue
, as-is.void
setState
(long stateA, long stateB) Sets the state completely to the given three state variables.void
setStateA
(long stateA) Sets the first part of the state (the changing state).void
setStateB
(long stateB) Sets the second part of the state (the stream).toString()
Methods inherited from class com.github.tommyettinger.random.EnhancedRandom
areEqual, fixGamma, maxDoubleOf, maxFloatOf, maxIntOf, maxLongOf, minDoubleOf, minFloatOf, minIntOf, minLongOf, nextBoolean, nextBoolean, nextBytes, nextDouble, nextDouble, nextDouble, nextExclusiveDouble, nextExclusiveDouble, nextExclusiveDouble, nextExclusiveDoubleEquidistant, nextExclusiveFloat, nextExclusiveFloat, nextExclusiveFloat, nextExclusiveFloatEquidistant, nextExclusiveSignedDouble, nextExclusiveSignedFloat, 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, readExternal, seedFromMath, 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, skip, 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, nextExponential
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Field Details
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stateA
protected long stateAThe first state, also called the changing state; can be any long. -
stateB
protected long stateBThe second state, also called the stream; can be any odd-number long.
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Constructor Details
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MizuchiRandom
public MizuchiRandom()Creates a new MizuchiRandom with a random state. -
MizuchiRandom
public MizuchiRandom(long seed) Creates a new MizuchiRandom with the given seed; alllong
values are permitted. The seed will be passed tosetSeed(long)
to attempt to adequately distribute the seed randomly.- Parameters:
seed
- anylong
value
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MizuchiRandom
public MizuchiRandom(long stateA, long stateB) Creates a new MizuchiRandom with the given two states; alllong
values are permitted for stateA, and all odd-numberlong
values are permitted for stateB. These states are not changed as long as they are permitted values.- Parameters:
stateA
- anylong
valuestateB
- anylong
value; should be odd, otherwise this will add 1 to make it odd
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Method Details
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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.
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getStateCount
public int getStateCount()This generator has 2long
states, so this returns 2.- Overrides:
getStateCount
in classEnhancedRandom
- Returns:
- 2 (two)
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getSelectedState
public long getSelectedState(int selection) Gets the state determined byselection
, as-is. Selections 0 (or any even number) and 1 (or any odd number) refer to states A and B.- Overrides:
getSelectedState
in classEnhancedRandom
- Parameters:
selection
- used to select which state variable to get; generally 0 or 1- Returns:
- the value of the selected state
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setSelectedState
public void setSelectedState(int selection, long value) Sets one of the states, determined byselection
, tovalue
, as-is. Selections 0 (or any even number) and 1 (or any odd number) refer to states A and B.- Overrides:
setSelectedState
in classEnhancedRandom
- Parameters:
selection
- used to select which state variable to set; generally 0 or 1value
- the exact value to use for the selected state, if valid
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setSeed
public void setSeed(long seed) This initializes both states of the generator to random values based on the given seed. (2 to the 64) possible initial generator states can be produced here.- Specified by:
setSeed
in classEnhancedRandom
- Parameters:
seed
- the initial seed; may be any long
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getStateA
public long getStateA() -
setStateA
public void setStateA(long stateA) Sets the first part of the state (the changing state).- Parameters:
stateA
- can be any long
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getStateB
public long getStateB() -
setStateB
public void setStateB(long stateB) Sets the second part of the state (the stream). This must be odd, otherwise this will add 1 to make it odd.- Parameters:
stateB
- can be any odd-number long; otherwise this adds 1 to make it odd
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setState
public void setState(long stateA, long stateB) Sets the state completely to the given three state variables. This is the same as callingsetStateA(long)
andsetStateB(long)
as a group.- Overrides:
setState
in classEnhancedRandom
- Parameters:
stateA
- the first state; can be any longstateB
- the second state; can be any odd-number long
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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
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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
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toString
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