Package com.github.tommyettinger.random

Class SoloRandom

java.lang.Object
java.util.Random
com.github.tommyettinger.random.EnhancedRandom
com.github.tommyettinger.random.SoloRandom
All Implemented Interfaces:
Externalizable, Serializable, RandomGenerator
public class SoloRandom extends EnhancedRandom
A subcycle generator with a counter, using only Add-Rotate-XOR operations. The whole nextLong() method can fit on one (lengthy) line, where a, b, and c can each be any long:
return a=(b=(b<<47|b>>>17)+(c+=0xD1B54A32D192ED03L))^c+(a<<23|a>>>41);
This has 192 bits of state. Period is at minimum 2 to the 64, and is always a multiple of 2 to the 64, but the expected period is much, much longer. This passes 64TB of PractRand with no anomalies. This takes more generations to decorrelate given initially similar starting states, but does completely decorrelate by 100 nextLong() calls or earlier. Generators like AceRandom decorrelate by maybe 40-50 calls, and generators like WhiskerRandom effectively never decorrelate.
On current HotSpot JVMs, this isn't as fast as AceRandom (SoloRandom gets roughly half the throughput as AceRandom), and the guaranteed minimum period is the same for each. AceRandom has a longer maximum period, and its only downside is it has 320 bits of state instead of 192. Both use only ARX operations. Still, SoloRandom may be useful just because it can fit in one line, when the states are declared already. ThrashRandom is a slightly-weaker generator statistically, based on this generator, that may be slightly faster and also fits on one line.
Never tell me the odds!
See Also:

  • Field Details

    • stateA

      protected long stateA
      The first state; can be any long.

    • stateB

      protected long stateB
      The second state; can be any long.

    • stateC

      protected long stateC
      The third state; can be any long.

  • Constructor Details

    • SoloRandom

      public SoloRandom()
      Creates a new SoloRandom with a random state.

    • SoloRandom

      public SoloRandom(long seed)
      Creates a new SoloRandom with the given seed; all long values are permitted. The seed will be passed to setSeed(long) to attempt to adequately distribute the seed randomly.
      Parameters:
      seed - any long value

    • SoloRandom

      public SoloRandom(long stateA, long stateB)
      Creates a new SoloRandom with the given two states; all long values are permitted. These states will be used verbatim for stateA and stateB. stateC will be assigned 1.
      Parameters:
      stateA - any long value
      stateB - any long value

    • SoloRandom

      public SoloRandom(long stateA, long stateB, long stateC)
      Creates a new SoloRandom with the given three states; all long values are permitted. These states will be used verbatim.
      Parameters:
      stateA - any long value
      stateB - any long value
      stateC - any long value

  • Method Details

    • getTag

      public String 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 class EnhancedRandom
      Returns:
      a unique String identifier for this type of EnhancedRandom; usually 4 chars long.

    • getMinimumPeriod

      public BigInteger getMinimumPeriod()
      2 to the 64.
      Overrides:
      getMinimumPeriod in class EnhancedRandom
      Returns:
      2 to the 64

    • getStateCount

      public int getStateCount()
      This generator has 3 long states, so this returns 3.
      Overrides:
      getStateCount in class EnhancedRandom
      Returns:
      3 (three)

    • getSelectedState

      public long getSelectedState(int selection)
      Gets the state determined by selection, as-is. The value for selection should be between 0 and 2, inclusive; if it is any other value this gets state C as if 2 was given.
      Overrides:
      getSelectedState in class EnhancedRandom
      Parameters:
      selection - used to select which state variable to get; generally 0, 1, or 2
      Returns:
      the value of the selected state

    • setSelectedState

      public void setSelectedState(int selection, long value)
      Sets one of the states, determined by selection, to value, as-is. Selections 0, 1, and 2 refer to states A, B, and C, and if the selection is anything else, this ignores it and sets nothing.
      Overrides:
      setSelectedState in class EnhancedRandom
      Parameters:
      selection - used to select which state variable to set; generally 0, 1, or 2
      value - the exact value to use for the selected state, if valid

    • setSeed

      public void setSeed(long s)
      This initializes all 3 states of the generator to random values based on the given seed. (2 to the 64) possible initial generator states can be produced here, though there are (2 to the 192) possible states in total.
      Specified by:
      setSeed in class EnhancedRandom
      Parameters:
      s - the initial seed; may be any long

    • getStateA

      public long getStateA()

    • setStateA

      public void setStateA(long stateA)
      Sets the first part of the state.
      Parameters:
      stateA - can be any long

    • getStateB

      public long getStateB()

    • setStateB

      public void setStateB(long stateB)
      Sets the second part of the state.
      Parameters:
      stateB - can be any long

    • getStateC

      public long getStateC()

    • setStateC

      public void setStateC(long stateC)
      Sets the third part of the state.
      Parameters:
      stateC - can be any long

    • setState

      public void setState(long stateA, long stateB)
      Equivalent to setState(stateA, stateB, 1L).
      Overrides:
      setState in class EnhancedRandom
      Parameters:
      stateA - the long value to use for stateA
      stateB - the long value to use for stateB

    • setState

      public void setState(long stateA, long stateB, long stateC)
      Sets the state completely to the given three state variables. This is the same as calling setStateA(long), setStateB(long), and setStateC(long) as a group.
      Overrides:
      setState in class EnhancedRandom
      Parameters:
      stateA - the first state; can be any long
      stateB - the second state; can be any long
      stateC - the third state; can be any long

    • nextLong

      public long nextLong()
      Description copied from class: EnhancedRandom
      Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence. The general contract of nextLong is that one long value is pseudorandomly generated and returned.
      The only methods that need to be implemented by this interface are this and EnhancedRandom.copy(), though other methods can be implemented as appropriate for generators that, for instance, natively produce ints rather than longs.
      Specified by:
      nextLong in interface RandomGenerator
      Specified by:
      nextLong in class EnhancedRandom
      Returns:
      the next pseudorandom, uniformly distributed long value from this random number generator's sequence

    • 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 by EnhancedRandom.nextLong(). This can be equivalent to calling EnhancedRandom.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 generate int results typically produce long 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 by EnhancedRandom.previousInt(), should be reversed. Generators that natively produce long values usually don't need to implement EnhancedRandom.previousInt(), but those that produce int 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 calls EnhancedRandom.skip(long) with -1L, and if skip() has not been implemented differently, then it will throw an UnsupportedOperationException.
      Overrides:
      previousLong in class EnhancedRandom
      Returns:
      the previous number this would have produced with EnhancedRandom.nextLong()

    • 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 use EnhancedRandom.nextInt(int) instead. For some specific cases, this method is more efficient and less biased than EnhancedRandom.nextInt(int). For bits values between 1 and 30, this should be similar in effect to nextInt(1 << bits); though it won't typically produce the same values, they will have the correct range. If bits is 31, this can return any non-negative int; note that nextInt(1 << 31) won't behave this way because 1 << 31 is negative. If bits is 32 (or 0), this can return any int.

      The general contract of next is that it returns an int value and if the argument bits is between 1 and 32 (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 be 0 or 1.

      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 be bits % 32. As stated before, a value of 0 for bits is the same as a value of 32.

      Overrides:
      next in class EnhancedRandom
      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

    • nextInt

      public int nextInt()
      Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence. The general contract of nextInt is that one int value is pseudorandomly generated and returned. All 232 possible int values are produced with (approximately) equal probability.
      Specified by:
      nextInt in interface RandomGenerator
      Overrides:
      nextInt in class EnhancedRandom
      Returns:
      the next pseudorandom, uniformly distributed int value from this random number generator's sequence

    • copy

      public SoloRandom 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 (like Random) and not this one, the results may differ.
      Specified by:
      copy in class EnhancedRandom
      Returns:
      a deep copy of this EnhancedRandom.

    • equals

      public boolean equals(Object o)
      Overrides:
      equals in class Object

    • toString

      public String toString()
      Overrides:
      toString in class Object