Package com.github.tommyettinger.random

Class LaserRandom

java.lang.Object
java.util.Random
com.github.tommyettinger.random.EnhancedRandom
com.github.tommyettinger.random.LaserRandom
All Implemented Interfaces:
Externalizable, Serializable, RandomGenerator
public class LaserRandom extends EnhancedRandom
A faster and much-higher-quality substitute for Random. This allows many different random number streams that don't overlap, and offers a more substantial API for commonly-used functions. This is not a cryptographic random number generator, and should not be used in place of one.
This fills in much of the functionality of MathUtils in libGDX, though with all code as instance methods instead of static methods, and some things renamed (randomTriangular() became nextTriangular(), for instance, and random() became nextFloat()). It also supplies some rare and sometimes-useful code: skip(long) allows "fast-forward" and "rewind" along with previousLong() to simply go back one step, you can get and set the exact state with getStateA(), getStateB(), setStateA(long), setStateB(long), and setState(long, long) (which is useful if you want to save a LaserRandom and reload it later), and there's bounded int and long generators which can use a negative number for their exclusive outer bound (nextSignedInt(int) and nextSignedLong(long), plus overloads that take an inner bound). There's float and double generators that are inclusive on both ends (nextInclusiveFloat(), and nextInclusiveDouble(). There's nextGaussian(), which is implemented differently from java.util.Random and always advances the state once. This implements all optional methods in EnhancedRandom, and implements almost all EnhancedRandom methods explicitly, which allows LaserRandom to be copied more easily without depending on juniper (see below).
Every method defined in this class advances the state by the same amount unless otherwise documented (only nextTriangular() and nextTriangular(float) advance the state twice). The state can advance 2 to the 64 times before the sequence of random numbers repeats, which would take a few years of continuous generation. There are also 2 to the 63 possible sequences this can produce; you can tell which one you're using with getStream(). Note, Random can only advance 2 to the 48 times, which takes under half a day to make it repeat on recent laptop hardware while also analyzing the numbers for statistical issues. This generator is more comparable to SplittableRandom, introduced in JDK 8 but not available in Android (even with desugaring) or GWT currently. SplittableRandom also can produce 2 to the 64 numbers before repeating the sequence, and also has 2 to the 63 streams, but it will always produce each possible long value exactly once over the course of that sequence. Each of LaserRandom's streams produces a different sequence of numbers with a different set of numbers it omits and a different set of numbers it produces more than once; each of SplittableRandom's streams simply rearranges the order of all possible longs. Though it might seem like an issue that a LaserRandom stream has gaps in its possible output, if you appended all 2 to the 63 possible LaserRandom streams in full, the gargantuan result would include all longs equally often. So, if the stream is selected effectively at random, then the subset of that stream that actually gets used should be fair (and it's very unlikely that any usage will need a full stream of over 18 quintillion pseudo-random longs). It is strongly recommended that you use very different numbers when creating many LaserRandom objects with similar states, because there is a noticeable correlation between, for instance, a grid of LaserRandom objects initialized with stateA drawn from the odd numbers 1 through 101, and stateB drawn from another odd number 1 through 101. Using setSeed(long) essentially eliminates this risk, so it's a good idea to seed this with one long.
If statistical quality is a concern, don't use Random, since the aforementioned analysis finds statistical failures in about a minute when checking about 16GB of output; this class can produce 64TB of random output without a tool like PractRand finding any failures (sometimes it can't find any minor anomaly over several days of testing). RandomXS128 has some flaws, though they are not nearly as severe as Random's; mostly they are limited to a particular kind of failure affecting the least significant bits (the technical name for the test it fails is a "binary matrix rank" test, which a wide variety of related generators can fail if they don't adequately randomize their outputs). RandomXS128's flaws would be permissible if it was faster than any competitors, but it isn't, and there have been two improved relatives of its algorithm published since it was created. Both of these improvements, xoroshiro128** and xoshiro256**, are slower when implemented in Java than LaserRandom (also when all are implemented in C and compiled with GCC or Clang, typically). There are also some concerns about specific failure cases when the output of xoroshiro128** or xoshiro256** is multiplied by any of quadrillions of constants and tested after that multiplication (see M.E. O'Neill's dissection of xoshiro256** here). Xoshiro256**, like LaserRandom, can't be reliably initialized using nearby values for its state variables, and does much better if you use its setSeed(long) method. We do implement Xoshiro256** here, because it provides 4-dimensional equidistribution, and that is hard to find.
You can copy this class independently of the library it's part of; it's meant as a general replacement for Random and also RandomXS128. LaserRandom is generally faster than RandomXS128, and can be over 3x faster when running on OpenJ9 (generating over 3 billion random long values per second). If you copy this, the only step you probably need to do is to remove extends EnhancedRandom from the class, since almost all of EnhancedRandom consists of either parent methods that this overrides explicitly, or to provide a common interface for pseudo-random number generators on the JVM. This class avoids using the Override annotation specifically because copying the class and removing the EnhancedRandom implementation would cause compile errors if Override annotations were present. If you do keep this class implementing EnhancedRandom, then that permits some extra methods to come in via default implementations, like nextExclusiveFloat() (which uses the BitConversion class here from digital), minIntOf(), maxLongOf(), etc.
You may want to compare this class with TricycleRandom and FourWheelRandom in the same package; both of those have a larger state size (and should usually have a larger period), are usually faster, and also implement all of EnhancedRandom (except for skip(long)), but they do even less randomizing for the first result they return, so if the seeding has a pattern, then the start of their sequences will have patterns. These patterns are less obvious but do persist in LaserRandom, and don't persist in TricycleRandom or FourWheelRandom over a long run. All generators here do well when using setSeed(long) to set the full state.
Pew pew! Lasers!
See Also:

  • 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
    Modifier and Type
    Field
    Description
    protected long
    stateA
    Can be any long value.
    protected long
    stateB
    Must be odd.

  • Constructor Summary

    Constructors
    Constructor
    Description
    LaserRandom()
    Creates a new LaserRandom.
    LaserRandom(long seed)
    Creates a new LaserRandom using a single long seed; the stream depends on whether the seed is even or odd.
    LaserRandom(long seedA, long seedB)
    Creates a new LaserRandom using seedA exactly to set stateA (as with setStateA(long),, and using seedB to set stateB as with setStateB(long) (meaning seedB will be used exactly if odd, otherwise it will have 1 added to it and then used).

  • Method Summary

    Modifier and Type
    Method
    Description
    LaserRandom
    copy()
    Creates a new LaserRandom with identical states to this one, so if the same LaserRandom methods are called on this object and its copy (in the same order), the same outputs will be produced.
    boolean
    equals(Object o)
     
    long
    getSelectedState(int selection)
    Gets a selected state value from this LaserRandom.
    long
    getStateA()
    Get the "A" part of the internal state as a long.
    long
    getStateB()
    Get the "B" part of the internal state as a long.
    int
    getStateCount()
    LaserRandom has two possible states, both long.
    long
    getStream()
    Gets a long that identifies which stream of numbers this generator is producing; this stream identifier is always an odd long and won't change by generating numbers.
    String
    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).
    boolean
    nextBoolean()
    Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
    boolean
    nextBoolean(float chance)
    Returns true if a random value between 0 and 1 is less than the specified value.
    void
    nextBytes(byte[] bytes)
    Generates random bytes and places them into a user-supplied byte array.
    double
    nextDouble()
    Returns the next pseudorandom, uniformly distributed double value between 0.0 (inclusive) and 1.0 (exclusive) from this random number generator's sequence.
    double
    nextDouble(double outerBound)
    Gets a pseudo-random double between 0 (inclusive) and outerBound (exclusive).
    double
    nextDouble(double innerBound, double outerBound)
    Gets a pseudo-random double between innerBound (inclusive) and outerBound (exclusive).
    float
    nextFloat()
    Returns the next pseudorandom, uniformly distributed float value between 0.0 (inclusive) and 1.0 (exclusive) from this random number generator's sequence.
    float
    nextFloat(float outerBound)
    Gets a pseudo-random float between 0 (inclusive) and outerBound (exclusive).
    float
    nextFloat(float innerBound, float outerBound)
    Gets a pseudo-random float between innerBound (inclusive) and outerBound (exclusive).
    double
    nextGaussian()
    Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
    double
    nextInclusiveDouble()
    This is just like nextDouble(), returning a double between 0 and 1, except that it is inclusive on both 0.0 and 1.0.
    double
    nextInclusiveDouble(double outerBound)
    Just like nextDouble(double), but this is inclusive on both 0.0 and outerBound.
    double
    nextInclusiveDouble(double innerBound, double outerBound)
    Just like nextDouble(double, double), but this is inclusive on both innerBound and outerBound.
    float
    nextInclusiveFloat()
    This is just like nextFloat(), returning a float between 0 and 1, except that it is inclusive on both 0.0 and 1.0.
    float
    nextInclusiveFloat(float outerBound)
    Just like nextFloat(float), but this is inclusive on both 0.0 and outerBound.
    float
    nextInclusiveFloat(float innerBound, float outerBound)
    Just like nextFloat(float, float), but this is inclusive on both innerBound and outerBound.
    int
    nextInt()
    Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
    int
    nextInt(int bound)
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    int
    nextInt(int innerBound, int outerBound)
    Returns a pseudorandom, uniformly distributed int value between the specified innerBound (inclusive) and the specified outerBound (exclusive).
    long
    nextLong()
    Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
    long
    nextLong(long bound)
    Returns a pseudorandom, uniformly distributed long value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    long
    nextLong(long inner, long outer)
    Returns a pseudorandom, uniformly distributed long value between the specified innerBound (inclusive) and the specified outerBound (exclusive).
    int
    nextSign()
    Returns -1 or 1, randomly.
    int
    nextSignedInt(int outerBound)
    Returns a pseudorandom, uniformly distributed int value between an inner bound of 0 (inclusive) and the specified outerBound (exclusive).
    int
    nextSignedInt(int innerBound, int outerBound)
    Returns a pseudorandom, uniformly distributed int value between the specified innerBound (inclusive) and the specified outerBound (exclusive).
    long
    nextSignedLong(long outerBound)
    Returns a pseudorandom, uniformly distributed long value between an inner bound of 0 (inclusive) and the specified outerBound (exclusive).
    long
    nextSignedLong(long inner, long outer)
    Returns a pseudorandom, uniformly distributed long value between the specified innerBound (inclusive) and the specified outerBound (exclusive).
    float
    nextTriangular()
    Returns a triangularly distributed random number between -1.0 (exclusive) and 1.0 (exclusive), where values around zero are more likely.
    float
    nextTriangular(float max)
    Returns a triangularly distributed random number between -max (exclusive) and max (exclusive), where values around zero are more likely.
    float
    nextTriangular(float min, float max)
    Returns a triangularly distributed random number between min (inclusive) and max (exclusive), where the mode argument defaults to the midpoint between the bounds, giving a symmetric distribution.
    float
    nextTriangular(float min, float max, float mode)
    Returns a triangularly distributed random number between min (inclusive) and max (exclusive), where values around mode are more likely.
    int
    nextUnsignedInt(int bound)
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    long
    previousLong()
    Optional; moves the state to its previous value and returns the previous long that would have been produced by EnhancedRandom.nextLong().
    <T> T
    randomElement(T[] array)
    Gets a randomly-selected item from the given array, which must be non-null and non-empty
    void
    setSeed(long seed)
    Sets the seed of this random number generator using a single long seed.
    void
    setSelectedState(int selection, long value)
    Sets a selected state value to the given long value.
    void
    setState(long stateA, long stateB)
    Sets both parts of the internal state with one call; stateA is used verbatim, but stateB has its least significant bit ignored and always overwritten with a '1' bit (meaning stateB will always be odd).
    void
    setStateA(long stateA)
    Set the "A" part of the internal state with a long.
    void
    setStateB(long stateB)
    Set the "B" part of the internal state with a long; the least significant bit is ignored (will always be odd).
    void
    shuffle(boolean[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    void
    shuffle(byte[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    void
    shuffle(char[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    void
    shuffle(double[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    void
    shuffle(float[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    void
    shuffle(int[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    void
    shuffle(long[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    void
    shuffle(short[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    <T> void
    shuffle(T[] items)
    Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
    long
    skip(long advance)
    Advances or rolls back the LaserRandom' state without actually generating each number.
    String
    toString()
    This String conversion uses base-10 numbers for the states, unlike all other EnhancedRandom implementations, which use base-16.

    Methods inherited from class com.github.tommyettinger.random.EnhancedRandom

    areEqual, fixGamma, maxDoubleOf, maxFloatOf, maxIntOf, maxLongOf, minDoubleOf, minFloatOf, minIntOf, minLongOf, nextExclusiveDouble, nextExclusiveDouble, nextExclusiveDouble, nextExclusiveDoubleEquidistant, nextExclusiveFloat, nextExclusiveFloat, nextExclusiveFloat, nextExclusiveFloatEquidistant, nextExclusiveSignedDouble, nextExclusiveSignedFloat, nextGaussian, previousInt, probit, randomElement, readExternal, seedFromMath, setState, setState, setState, setState, setState, setWith, 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, nextExponential

  • Field Details

    • stateA

      protected long stateA
      Can be any long value.

    • stateB

      protected long stateB
      Must be odd.

  • Constructor Details

    • LaserRandom

      public LaserRandom()
      Creates a new LaserRandom. This constructor sets the states of the random number generator to values very likely to be distinct from any other invocation of this constructor.

    • LaserRandom

      public LaserRandom(long seed)
      Creates a new LaserRandom using a single long seed; the stream depends on whether the seed is even or odd.
      Parameters:
      seed - the initial seed
      See Also:

    • LaserRandom

      public LaserRandom(long seedA, long seedB)
      Creates a new LaserRandom using seedA exactly to set stateA (as with setStateA(long),, and using seedB to set stateB as with setStateB(long) (meaning seedB will be used exactly if odd, otherwise it will have 1 added to it and then used).
      Parameters:
      seedA - any long; will be used exactly to set stateA as with setStateA(long)
      seedB - any odd long will be used exactly to set stateB, otherwise, as with setStateB(long), it will be made odd

  • 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.

    • getStateCount

      public int getStateCount()
      LaserRandom has two possible states, both long. The second state (selection 1) is always an odd number, and if anything tries to set an even number to that state, the actual state used will be one greater.
      Overrides:
      getStateCount in class EnhancedRandom
      Returns:
      2 (two)

    • getStateA

      public long getStateA()
      Get the "A" part of the internal state as a long.
      Returns:
      the current internal "A" state of this object.

    • setStateA

      public void setStateA(long stateA)
      Set the "A" part of the internal state with a long.
      Parameters:
      stateA - a 64-bit long

    • getStateB

      public long getStateB()
      Get the "B" part of the internal state as a long.
      Returns:
      the current internal "B" state of this object.

    • setStateB

      public void setStateB(long stateB)
      Set the "B" part of the internal state with a long; the least significant bit is ignored (will always be odd). That is, if stateB is odd, this uses it verbatim; if stateB is even, it adds 1 to it to make it odd.
      Parameters:
      stateB - a 64-bit long; the lowest bit will be ignored and the result always used as an odd number

    • setState

      public void setState(long stateA, long stateB)
      Sets both parts of the internal state with one call; stateA is used verbatim, but stateB has its least significant bit ignored and always overwritten with a '1' bit (meaning stateB will always be odd). You can use any long for stateA without it being changed, and can use any odd long for stateB without it being changed; as such, keeping stateB an odd number should be optimal.
      Overrides:
      setState in class EnhancedRandom
      Parameters:
      stateA - a 64-bit long
      stateB - a 64-bit long; the lowest bit will be ignored and the result always used as an odd number

    • getSelectedState

      public long getSelectedState(int selection)
      Gets a selected state value from this LaserRandom. If selection is an even number, this returns stateA, and if selection is odd, it returns stateB. This returns the exact value of the selected state.
      Overrides:
      getSelectedState in class EnhancedRandom
      Parameters:
      selection - used to select which state variable to get (usually 0 or 1)
      Returns:
      the exact value of the selected state

    • setSelectedState

      public void setSelectedState(int selection, long value)
      Sets a selected state value to the given long value. If selection is an even number, this sets stateA to value as-is, and if selection is odd, this sets stateB to value made odd (that is, if value is even, it uses value + 1, otherwise it uses value).
      Overrides:
      setSelectedState in class EnhancedRandom
      Parameters:
      selection - used to select which state variable to set (usually 0 or 1)
      value - the exact value to use for the selected state, if valid

    • setSeed

      public void setSeed(long seed)
      Sets the seed of this random number generator using a single long seed. The general contract of setSeed is that it alters the state of this random number generator object so as to be in exactly the same state as if it had just been created with the argument seed as a seed.

      The implementation of setSeed by class LaserRandom uses all 64 bits of the given seed for setStateA(long), and all but the least-significant bit of the seed for setStateB(long) (the omitted bit is always set to 1 in stateB, meaning stateB is always odd).

      Specified by:
      setSeed in class EnhancedRandom
      Parameters:
      seed - the initial seed

    • next

      public int next(int bits)
      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 nextInt(int) instead. For some specific cases, this method is more efficient and less biased than 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.

      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

    • nextBytes

      public void nextBytes(byte[] bytes)
      Generates random bytes and places them into a user-supplied byte array. The number of random bytes produced is equal to the length of the byte array.
      Specified by:
      nextBytes in interface RandomGenerator
      Overrides:
      nextBytes in class EnhancedRandom
      Parameters:
      bytes - the byte array to fill with random bytes
      Throws:
      NullPointerException - if the byte array is null

    • 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

    • nextInt

      public int nextInt(int bound)
      Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. The general contract of nextInt is that one int value in the specified range is pseudorandomly generated and returned. All bound possible int values are produced with (approximately) equal probability.
      It should be mentioned that the technique this uses has some bias, depending on bound, but it typically isn't measurable without specifically looking for it. Using the method this does allows this method to always advance the state by one step, instead of a varying and unpredictable amount with the more typical ways of rejection-sampling random numbers and only using numbers that can produce an int within the bound without bias. See M.E. O'Neill's blog about random numbers for discussion of alternative, unbiased methods.
      Specified by:
      nextInt in interface RandomGenerator
      Overrides:
      nextInt in class EnhancedRandom
      Parameters:
      bound - the upper bound (exclusive). If negative or 0, this always returns 0.
      Returns:
      the next pseudorandom, uniformly distributed int value between zero (inclusive) and bound (exclusive) from this random number generator's sequence

    • nextUnsignedInt

      public int nextUnsignedInt(int bound)
      Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. The general contract of nextInt is that one int value in the specified range is pseudorandomly generated and returned. All bound possible int values are produced with (approximately) equal probability.
      This method treats the outer bound as unsigned, so if a negative int is passed as bound, it will be treated as positive and larger than Integer.MAX_VALUE. That means this can produce results that are positive or negative, but when you mask the result and the bound with 0xFFFFFFFFL (to treat them as unsigned), the result will always be between 0L (inclusive) and the masked bound (exclusive).
      It should be mentioned that the technique this uses has some bias, depending on bound, but it typically isn't measurable without specifically looking for it. Using this technique allows this method to always advance the state by one step, instead of a varying and unpredictable amount with the more typical ways of rejection-sampling random numbers and only using numbers that can produce an int within the bound without bias. See M.E. O'Neill's blog about random numbers for discussion of alternative, unbiased methods.
      Overrides:
      nextUnsignedInt in class EnhancedRandom
      Parameters:
      bound - the upper bound (exclusive). If negative or 0, this always returns 0.
      Returns:
      the next pseudorandom, uniformly distributed int value between zero (inclusive) and bound (exclusive) from this random number generator's sequence

    • nextSignedInt

      public int nextSignedInt(int outerBound)
      Returns a pseudorandom, uniformly distributed int value between an inner bound of 0 (inclusive) and the specified outerBound (exclusive). This is meant for cases where the outer bound may be negative, especially if the bound is unknown or may be user-specified. A negative outer bound is used as the lower bound; a positive outer bound is used as the upper bound. An outer bound of -1, 0, or 1 will always return 0, keeping the bound exclusive (except for outer bound 0). This method is slightly slower than nextInt(int).
      Overrides:
      nextSignedInt in class EnhancedRandom
      Parameters:
      outerBound - the outer exclusive bound; may be any int value, allowing negative
      Returns:
      a pseudorandom int between 0 (inclusive) and outerBound (exclusive)
      See Also:

    • nextInt

      public int nextInt(int innerBound, int outerBound)
      Returns a pseudorandom, uniformly distributed int value between the specified innerBound (inclusive) and the specified outerBound (exclusive). If outerBound is less than or equal to innerBound, this always returns innerBound.
      For any case where outerBound might be valid but less than innerBound, you can use nextSignedInt(int, int).
      Specified by:
      nextInt in interface RandomGenerator
      Overrides:
      nextInt in class EnhancedRandom
      Parameters:
      innerBound - the inclusive inner bound; may be any int, allowing negative
      outerBound - the exclusive outer bound; must be greater than innerBound (otherwise this returns innerBound)
      Returns:
      a pseudorandom int between innerBound (inclusive) and outerBound (exclusive)
      See Also:

    • nextSignedInt

      public int nextSignedInt(int innerBound, int outerBound)
      Returns a pseudorandom, uniformly distributed int value between the specified innerBound (inclusive) and the specified outerBound (exclusive). This is meant for cases where either bound may be negative, especially if the bounds are unknown or may be user-specified.
      Overrides:
      nextSignedInt in class EnhancedRandom
      Parameters:
      innerBound - the inclusive inner bound; may be any int, allowing negative
      outerBound - the exclusive outer bound; may be any int, allowing negative
      Returns:
      a pseudorandom int between innerBound (inclusive) and outerBound (exclusive)
      See Also:

    • nextLong

      public long nextLong()
      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.
      An individual LaserRNG can't return all 18-quintillion possible long values, but the full set of 9-quintillion possible random number streams that this class can produce will, as a whole, produce all long values with equal likelihood.
      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

    • nextLong

      public long nextLong(long bound)
      Returns a pseudorandom, uniformly distributed long value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. The general contract of nextLong is that one long value in the specified range is pseudorandomly generated and returned. All bound possible long values are produced with (approximately) equal probability, though there is a small amount of bias depending on the bound.
      Note that this advances the state by the same amount as a single call to nextLong(), which allows methods like skip(long) to function correctly, but introduces some bias when bound is very large. This will also advance the state if bound is 0 or negative, so usage with a variable bound will advance the state reliably.
      This method has some bias, particularly on larger bounds. Actually measuring bias with bounds in the trillions or greater is challenging but not impossible, so don't use this for a real-money gambling purpose. The bias isn't especially significant, though.
      Specified by:
      nextLong in interface RandomGenerator
      Overrides:
      nextLong in class EnhancedRandom
      Parameters:
      bound - the upper bound (exclusive). If negative or 0, this always returns 0.
      Returns:
      the next pseudorandom, uniformly distributed long value between zero (inclusive) and bound (exclusive) from this random number generator's sequence
      See Also:

    • nextSignedLong

      public long nextSignedLong(long outerBound)
      Returns a pseudorandom, uniformly distributed long value between an inner bound of 0 (inclusive) and the specified outerBound (exclusive). This is meant for cases where the outer bound may be negative, especially if the bound is unknown or may be user-specified. A negative outer bound is used as the lower bound; a positive outer bound is used as the upper bound. An outer bound of -1, 0, or 1 will always return 0, keeping the bound exclusive (except for outer bound 0).

      Note that this advances the state by the same amount as a single call to nextLong(), which allows methods like skip(long) to function correctly, but introduces some bias when bound is very large. This method should be about as fast as nextLong(long) , unlike the speed difference between nextInt(int) and nextSignedInt(int).

      Overrides:
      nextSignedLong in class EnhancedRandom
      Parameters:
      outerBound - the outer exclusive bound; may be any long value, allowing negative
      Returns:
      a pseudorandom long between 0 (inclusive) and outerBound (exclusive)
      See Also:

    • nextLong

      public long nextLong(long inner, long outer)
      Returns a pseudorandom, uniformly distributed long value between the specified innerBound (inclusive) and the specified outerBound (exclusive). If outerBound is less than or equal to innerBound, this always returns innerBound.
      For any case where outerBound might be valid but less than innerBound, you can use nextSignedLong(long, long).
      Specified by:
      nextLong in interface RandomGenerator
      Overrides:
      nextLong in class EnhancedRandom
      Parameters:
      inner - the inclusive inner bound; may be any long, allowing negative
      outer - the exclusive outer bound; must be greater than innerBound (otherwise this returns innerBound)
      Returns:
      a pseudorandom long between innerBound (inclusive) and outerBound (exclusive)
      See Also:

    • nextSignedLong

      public long nextSignedLong(long inner, long outer)
      Returns a pseudorandom, uniformly distributed long value between the specified innerBound (inclusive) and the specified outerBound (exclusive). This is meant for cases where either bound may be negative, especially if the bounds are unknown or may be user-specified.
      Overrides:
      nextSignedLong in class EnhancedRandom
      Parameters:
      inner - the inclusive inner bound; may be any long, allowing negative
      outer - the exclusive outer bound; may be any long, allowing negative
      Returns:
      a pseudorandom long between innerBound (inclusive) and outerBound (exclusive)
      See Also:

    • nextBoolean

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

    • nextFloat

      public float nextFloat()
      Returns the next pseudorandom, uniformly distributed float value between 0.0 (inclusive) and 1.0 (exclusive) from this random number generator's sequence.

      The general contract of nextFloat is that one float value, chosen (approximately) uniformly from the range 0.0f (inclusive) to 1.0f (exclusive), is pseudorandomly generated and returned. All 224 possible float values of the form m x 2-24, where m is a positive integer less than 224, are produced with (approximately) equal probability.

      The hedge "approximately" is used in the foregoing description only because the next method is only approximately an unbiased source of independently chosen bits. If it were a perfect source of randomly chosen bits, then the algorithm shown would choose float values from the stated range with perfect uniformity.

      Specified by:
      nextFloat in interface RandomGenerator
      Overrides:
      nextFloat in class EnhancedRandom
      Returns:
      the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence

    • nextFloat

      public float nextFloat(float outerBound)
      Gets a pseudo-random float between 0 (inclusive) and outerBound (exclusive). The outerBound may be positive or negative. Exactly the same as nextFloat() * outerBound.
      Specified by:
      nextFloat in interface RandomGenerator
      Overrides:
      nextFloat in class EnhancedRandom
      Parameters:
      outerBound - the exclusive outer bound
      Returns:
      a float between 0 (inclusive) and outerBound (exclusive)

    • nextFloat

      public float nextFloat(float innerBound, float outerBound)
      Gets a pseudo-random float between innerBound (inclusive) and outerBound (exclusive). Either, neither, or both of innerBound and outerBound may be negative; this does not change which is inclusive and which is exclusive.
      Specified by:
      nextFloat in interface RandomGenerator
      Overrides:
      nextFloat in class EnhancedRandom
      Parameters:
      innerBound - the inclusive inner bound; may be negative
      outerBound - the exclusive outer bound; may be negative
      Returns:
      a float between innerBound (inclusive) and outerBound (exclusive)

    • nextDouble

      public double nextDouble()
      Returns the next pseudorandom, uniformly distributed double value between 0.0 (inclusive) and 1.0 (exclusive) from this random number generator's sequence.

      The general contract of nextDouble is that one double value, chosen (approximately) uniformly from the range 0.0d (inclusive) to 1.0d (exclusive), is pseudorandomly generated and returned.

      The hedge "approximately" is used in the foregoing description only because the next method is only approximately an unbiased source of independently chosen bits. If it were a perfect source of randomly chosen bits, then the algorithm shown would choose double values from the stated range with perfect uniformity.

      Specified by:
      nextDouble in interface RandomGenerator
      Overrides:
      nextDouble in class EnhancedRandom
      Returns:
      the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence

    • nextDouble

      public double nextDouble(double outerBound)
      Gets a pseudo-random double between 0 (inclusive) and outerBound (exclusive). The outerBound may be positive or negative. Exactly the same as nextDouble() * outerBound.
      Specified by:
      nextDouble in interface RandomGenerator
      Overrides:
      nextDouble in class EnhancedRandom
      Parameters:
      outerBound - the exclusive outer bound
      Returns:
      a double between 0 (inclusive) and outerBound (exclusive)

    • nextDouble

      public double nextDouble(double innerBound, double outerBound)
      Gets a pseudo-random double between innerBound (inclusive) and outerBound (exclusive). Either, neither, or both of innerBound and outerBound may be negative; this does not change which is inclusive and which is exclusive.
      Specified by:
      nextDouble in interface RandomGenerator
      Overrides:
      nextDouble in class EnhancedRandom
      Parameters:
      innerBound - the inclusive inner bound; may be negative
      outerBound - the exclusive outer bound; may be negative
      Returns:
      a double between innerBound (inclusive) and outerBound (exclusive)

    • nextInclusiveDouble

      public double nextInclusiveDouble()
      This is just like nextDouble(), returning a double between 0 and 1, except that it is inclusive on both 0.0 and 1.0. It returns 1.0 extremely rarely, 0.000000000000011102230246251565% of the time if there is no bias in the generator, but it can happen. This uses nextLong(long) internally, so it may have some bias towards or against specific subtly-different results. Other generators here use BitConversion and a very different algorithm, but this avoids BitConversion so that it can be copied more easily.
      Overrides:
      nextInclusiveDouble in class EnhancedRandom
      Returns:
      a double between 0.0, inclusive, and 1.0, inclusive

    • nextInclusiveDouble

      public double nextInclusiveDouble(double outerBound)
      Just like nextDouble(double), but this is inclusive on both 0.0 and outerBound. It may be important to note that it returns outerBound on only 0.000000000000011102230246251565% of calls.
      Overrides:
      nextInclusiveDouble in class EnhancedRandom
      Parameters:
      outerBound - the outer inclusive bound; may be positive or negative
      Returns:
      a double between 0.0, inclusive, and outerBound, inclusive

    • nextInclusiveDouble

      public double nextInclusiveDouble(double innerBound, double outerBound)
      Just like nextDouble(double, double), but this is inclusive on both innerBound and outerBound. It may be important to note that it returns outerBound on only 0.000000000000011102230246251565% of calls, if it can return it at all because of floating-point imprecision when innerBound is a larger number.
      Overrides:
      nextInclusiveDouble in class EnhancedRandom
      Parameters:
      innerBound - the inner inclusive bound; may be positive or negative
      outerBound - the outer inclusive bound; may be positive or negative
      Returns:
      a double between innerBound, inclusive, and outerBound, inclusive

    • nextInclusiveFloat

      public float nextInclusiveFloat()
      This is just like nextFloat(), returning a float between 0 and 1, except that it is inclusive on both 0.0 and 1.0. It returns 1.0 rarely, 0.00000596046412226771% of the time if there is no bias in the generator, but it can happen. This method has been tested by generating 268435456 (or 0x10000000) random ints with nextInt(int), and just before the end of that it had generated every one of the 16777217 roughly-equidistant floats this is able to produce. Not all seeds and streams are likely to accomplish that in the same time, or at all, depending on the generator.
      Overrides:
      nextInclusiveFloat in class EnhancedRandom
      Returns:
      a float between 0.0, inclusive, and 1.0, inclusive

    • nextInclusiveFloat

      public float nextInclusiveFloat(float outerBound)
      Just like nextFloat(float), but this is inclusive on both 0.0 and outerBound. It may be important to note that it returns outerBound on only 0.00000596046412226771% of calls.
      Overrides:
      nextInclusiveFloat in class EnhancedRandom
      Parameters:
      outerBound - the outer inclusive bound; may be positive or negative
      Returns:
      a float between 0.0, inclusive, and outerBound, inclusive

    • nextInclusiveFloat

      public float nextInclusiveFloat(float innerBound, float outerBound)
      Just like nextFloat(float, float), but this is inclusive on both innerBound and outerBound. It may be important to note that it returns outerBound on only 0.00000596046412226771% of calls, if it can return it at all because of floating-point imprecision when innerBound is a larger number.
      Overrides:
      nextInclusiveFloat in class EnhancedRandom
      Parameters:
      innerBound - the inner inclusive bound; may be positive or negative
      outerBound - the outer inclusive bound; may be positive or negative
      Returns:
      a float between innerBound, inclusive, and outerBound, inclusive

    • nextGaussian

      public double nextGaussian()
      Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.

      The general contract of nextGaussian is that one double value, chosen from (approximately) the usual normal distribution with mean 0.0 and standard deviation 1.0, is pseudorandomly generated and returned.

      This uses an inverse transform sample method to generate its random values, using a method called probit(). The algorithm used was written by Peter John Acklam, and implemented by Sherali Karimov. Original source. Information on the algorithm. As this is written, it can return a maximum result of 8.209536145151493, and a minimum result of -38.5 . 38.5 only occurs 1 in every (2 to the 53) calls, on average, and all other results are between -8.209536145151493 and 8.209536145151493 . Note, this implementation is different from the one in EnhancedRandom only to permit copying this class more easily; EnhancedRandom normally uses another class, Ziggurat, to more efficiently generate normally-distributed doubles.

      Specified by:
      nextGaussian in interface RandomGenerator
      Overrides:
      nextGaussian in class EnhancedRandom
      Returns:
      the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence

    • skip

      public long skip(long advance)
      Advances or rolls back the LaserRandom' state without actually generating each number. Skips forward or backward a number of steps specified by advance, where a step is equal to one call to nextLong(), and returns the random number produced at that step. Negative numbers can be used to step backward, or 0 can be given to get the most-recently-generated long from nextLong().

      Note that none of the number-generating methods here advance state differently from nextLong() except for the Stream APIs. This is somewhat unusual; in many generators, calls to nextInt(int) and similar bounded-range random generators can advance the state by a variable amount. Using a fixed advance permits this method and also allows guaranteeing the cycle length (also called period), but introduces a tiny amount of bias for some bounds (mostly very large ones).

      Overrides:
      skip in class EnhancedRandom
      Parameters:
      advance - Number of future generations to skip over; can be negative to backtrack, 0 gets the most-recently-generated number
      Returns:
      the random long generated after skipping forward or backwards by advance numbers

    • 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()

    • copy

      public LaserRandom copy()
      Creates a new LaserRandom with identical states to this one, so if the same LaserRandom 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 the Random parent class, so if you call methods that are only implemented by Random and not LaserRandom, the results may differ.
      Specified by:
      copy in class EnhancedRandom
      Returns:
      a deep copy of this LaserRandom.

    • getStream

      public long getStream()
      Gets a long that identifies which stream of numbers this generator is producing; this stream identifier is always an odd long and won't change by generating numbers. It is determined at construction and will usually (not always) change if setStateA(long) or setStateB(long) are called. Each stream is a probably-unique sequence of 2 to the 64 longs, where approximately 1/3 of all possible longs will not ever occur (while others occur twice or more), but this set of results is different for every stream. There are 2 to the 63 possible streams, one for every odd long.
      Returns:
      an odd long that identifies which stream this LaserRandom is generating from

    • nextBoolean

      public boolean nextBoolean(float chance)
      Returns true if a random value between 0 and 1 is less than the specified value.
      Overrides:
      nextBoolean in class EnhancedRandom
      Parameters:
      chance - a float between 0.0 and 1.0; higher values are more likely to result in true
      Returns:
      a boolean selected with the given chance of being true

    • nextSign

      public int nextSign()
      Returns -1 or 1, randomly.
      Overrides:
      nextSign in class EnhancedRandom
      Returns:
      -1 or 1, selected with approximately equal likelihood

    • nextTriangular

      public float nextTriangular()
      Returns a triangularly distributed random number between -1.0 (exclusive) and 1.0 (exclusive), where values around zero are more likely. Advances the state twice.

      This is an optimized version of randomTriangular(-1, 1, 0)

      Overrides:
      nextTriangular in class EnhancedRandom

    • nextTriangular

      public float nextTriangular(float max)
      Returns a triangularly distributed random number between -max (exclusive) and max (exclusive), where values around zero are more likely. Advances the state twice.

      This is an optimized version of randomTriangular(-max, max, 0)

      Overrides:
      nextTriangular in class EnhancedRandom
      Parameters:
      max - the upper limit

    • nextTriangular

      public float nextTriangular(float min, float max)
      Returns a triangularly distributed random number between min (inclusive) and max (exclusive), where the mode argument defaults to the midpoint between the bounds, giving a symmetric distribution. Advances the state once.

      This method is equivalent of randomTriangular(min, max, (min + max) * 0.5f)

      Overrides:
      nextTriangular in class EnhancedRandom
      Parameters:
      min - the lower limit
      max - the upper limit

    • nextTriangular

      public float nextTriangular(float min, float max, float mode)
      Returns a triangularly distributed random number between min (inclusive) and max (exclusive), where values around mode are more likely. Advances the state once.
      Overrides:
      nextTriangular in class EnhancedRandom
      Parameters:
      min - the lower limit
      max - the upper limit
      mode - the point around which the values are more likely

    • randomElement

      public <T> T randomElement(T[] array)
      Gets a randomly-selected item from the given array, which must be non-null and non-empty
      Overrides:
      randomElement in class EnhancedRandom
      Type Parameters:
      T - any reference type
      Parameters:
      array - a non-null, non-empty array of T items
      Returns:
      a random item from array
      Throws:
      NullPointerException - if array is null
      IndexOutOfBoundsException - if array is empty

    • shuffle

      public void shuffle(int[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - an int array; must be non-null

    • shuffle

      public void shuffle(long[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - a long array; must be non-null

    • shuffle

      public void shuffle(float[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - a float array; must be non-null

    • shuffle

      public void shuffle(char[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - a char array; must be non-null

    • shuffle

      public void shuffle(byte[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - a byte array; must be non-null

    • shuffle

      public void shuffle(double[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - a double array; must be non-null

    • shuffle

      public void shuffle(short[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - a short array; must be non-null

    • shuffle

      public void shuffle(boolean[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - a boolean array; must be non-null

    • shuffle

      public <T> void shuffle(T[] items)
      Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.
      Overrides:
      shuffle in class EnhancedRandom
      Parameters:
      items - an array of some reference type; must be non-null but may contain null items

    • equals

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

    • toString

      public String toString()
      This String conversion uses base-10 numbers for the states, unlike all other EnhancedRandom implementations, which use base-16. This is done here to avoid a dependency on Base, allowing this class to be copied more easily.
      Overrides:
      toString in class Object
      Returns:
      a String description of this LaserRandom and its two states