com.github.tommyettinger.random.Enhanced32Random

All Implemented Interfaces:: Externalizable, Serializable, RandomGenerator

Direct Known Subclasses:: Bear32Random, Chill32Random, Chip32Random, Choo32Random, ChopRandom, Jsf32Random, Lamb32Random, Respite32Random, Taxon32Random, Xoshiro128PlusPlusRandom, Xoshiro160RoadroxoRandom

public abstract class Enhanced32Random extends EnhancedRandom

A specialized subclass of EnhancedRandom meant for generators that use 32-bit math and natively operate on int results instead of long results.

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
Constructor Summary

Constructors

Constructor

Description

Enhanced32Random()

Enhanced32Random(long seed)
Method Summary

Modifier and Type

Method

Description

boolean

mainlyGeneratesInt()

Returns true if this generator mainly operates via its nextInt() method internally, which means its nextLong() must generate two int values instead of naturally producing one long.

double

maxDoubleOf(double innerBound, double outerBound, int trials)

Returns the maximum result of trials calls to nextDouble(double, double) using the given innerBound and outerBound.

float

maxFloatOf(float innerBound, float outerBound, int trials)

Returns the maximum result of trials calls to nextFloat(float, float) using the given innerBound and outerBound.

int

maxIntOf(int innerBound, int outerBound, int trials)

Returns the maximum result of trials calls to nextSignedInt(int, int) using the given innerBound and outerBound.

long

maxLongOf(long innerBound, long outerBound, int trials)

Returns the maximum result of trials calls to nextSignedLong(long, long) using the given innerBound and outerBound.

double

minDoubleOf(double innerBound, double outerBound, int trials)

Returns the minimum result of trials calls to nextDouble(double, double) using the given innerBound and outerBound.

float

minFloatOf(float innerBound, float outerBound, int trials)

Returns the minimum result of trials calls to nextFloat(float, float) using the given innerBound and outerBound.

int

minIntOf(int innerBound, int outerBound, int trials)

Returns the minimum result of trials calls to nextSignedInt(int, int) using the given innerBound and outerBound.

long

minLongOf(long innerBound, long outerBound, int trials)

Returns the minimum result of trials calls to nextSignedLong(long, long) using the given innerBound and outerBound.

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).

double

nextExclusiveDouble()

Gets a random double between 0.0 and 1.0, exclusive at both ends; this method is also more uniform than nextDouble() if you use the bit-patterns of the returned doubles.

double

nextExclusiveDouble(double outerBound)

Just like nextDouble(double), but this is exclusive on both 0.0 and outerBound.

double

nextExclusiveDouble(double innerBound, double outerBound)

Just like nextDouble(double, double), but this is exclusive on both innerBound and outerBound.

double

nextExclusiveDoubleEquidistant()

Gets a random double between 0.0 and 1.0, exclusive at both ends.

float

nextExclusiveFloat()

Gets a random float between 0.0 and 1.0, exclusive at both ends.

float

nextExclusiveFloat(float outerBound)

Just like nextFloat(float), but this is exclusive on both 0.0 and outerBound.

float

nextExclusiveFloat(float innerBound, float outerBound)

Just like nextFloat(float, float), but this is exclusive on both innerBound and outerBound.

float

nextExclusiveFloatEquidistant()

Gets a random float between 0.0 and 1.0, exclusive at both ends.

double

nextExclusiveSignedDouble()

Gets a random double that may be positive or negative, but cannot be 0, and always has a magnitude less than 1.

float

nextExclusiveSignedFloat()

Gets a random float that may be positive or negative, but cannot be 0, and always has a magnitude less than 1.

double

nextExponential()

Returns a non-negative double value pseudorandomly chosen from an exponential distribution whose mean is 1.

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

nextGaussian(double mean, double stddev)

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

float

nextGaussianFloat()

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

float

nextGaussianFloat(float mean, float stddev)

Returns the next pseudorandom, Gaussian ("normally") distributed float value with the specified mean and standard deviation 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.

<T> T

randomElement(List<T> list)

Gets a randomly selected item from the given List, such as an ArrayList.

<T> T

randomElement(T[] array)

Gets a randomly-selected item from the given array, which must be non-null and non-empty

void

shuffle(boolean[] items)

Shuffles the given array in-place pseudo-randomly, using this to determine how to shuffle.

void

shuffle(boolean[] items, int offset, int length)

Shuffles a section of 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(byte[] items, int offset, int length)

Shuffles a section of 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(char[] items, int offset, int length)

Shuffles a section of 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(double[] items, int offset, int length)

Shuffles a section of 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(float[] items, int offset, int length)

Shuffles a section of 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(int[] items, int offset, int length)

Shuffles a section of 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(long[] items, int offset, int length)

Shuffles a section of 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.

void

shuffle(short[] items, int offset, int length)

Shuffles a section of the given array in-place pseudo-randomly, using this to determine how to shuffle.

<T> void

shuffle(List<T> items)

Shuffles the given List in-place pseudo-randomly, using this to determine how to shuffle.

<T> void

shuffle(List<T> items, int offset, int length)

Shuffles a section of the given List 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.

<T> void

shuffle(T[] items, int offset, int length)

Shuffles a section of the given array in-place pseudo-randomly, using this to determine how to shuffle.

Methods inherited from class com.github.tommyettinger.random.EnhancedRandom
appendSerialized, appendSerialized, areEqual, copy, fixGamma, fixGamma, getMinimumPeriod, getSelectedState, getStateCount, getTag, lcm, previousInt, previousLong, probit, processSignedInt32, processUnsignedInt32, rateGamma, readExternal, seedFromMath, setSeed, setSelectedState, setState, setState, setState, setState, setState, setState, setState, setWith, skip, stringDeserialize, stringDeserialize, stringSerialize, stringSerialize, writeExternal

Methods inherited from class java.util.Random
doubles, doubles, doubles, doubles, from, ints, ints, ints, ints, longs, longs, longs, longs

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface java.util.random.RandomGenerator
isDeprecated

Constructor Details
- Enhanced32Random
  
  public Enhanced32Random()
- Enhanced32Random
  
  public Enhanced32Random(long seed)
Method Details
- mainlyGeneratesInt
  
  public boolean mainlyGeneratesInt()
  
  Returns true if this generator mainly operates via its nextInt() method internally, which means its nextLong() must generate two int values instead of naturally producing one long. This affects how the minimum period is measured for EnhancedRandom.getMinimumPeriod(). Most generators not intentionally targeting Google Web Toolkit mainly operate via nextLong() here, and return false. A generator that returns true here does not necessarily use 32-bit math; a generator can use 64-bit math internally but only produce 32 bits at a time by truncating its results.
  In Enhanced32Random, this returns true by default.
  Overrides:
  
  mainlyGeneratesInt in class EnhancedRandom
  
  Returns:
  
  true if measurements of the period measure calls to nextInt() instead of nextLong()
  
  See Also:
  
  This is closely related to the minimum period length.
- 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.
  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
- 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.
  In Enhanced32Random, this throws an UnsupportedOperationException because the concrete subclass must implement this.
  
  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.
  This method clamps bound to be at least 0; it never returns a negative int.
  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).
  This is primarily useful as a building block for other methods in this class.
  
  Overrides:
  
  nextUnsignedInt in class EnhancedRandom
  
  Parameters:
  
  bound - the upper bound (exclusive); treated as unsigned
  
  Returns:
  
  the next pseudorandom, uniformly distributed int value between zero (inclusive) and bound (exclusive), treated as unsigned, 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:
  
  Here's a note about the bias present in the bounded generation.
- 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). If outerBound is less than innerBound here, this simply returns innerBound.
  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:
  
  Here's a note about the bias present in the bounded generation.
- 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:
  
  Here's a note about the bias present in the bounded generation.
- 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.
  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
- 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 EnhancedRandom.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:
  
  Here's a note about the bias present in the bounded generation.
- 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 EnhancedRandom.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:
  
  Here's a note about the bias present in the bounded generation.
- 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:
  
  Here's a note about the bias present in the bounded generation.
- 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:
  
  Here's a note about the bias present in the bounded generation.
- 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.
  The public implementation simply returns a sign check on nextInt(), returning true if the generated int is negative. This is typically the safest way to implement this method; many types of generators have less statistical quality on their lowest bit, so just returning based on the lowest bit isn't always a good idea.
  
  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 public implementation uses the upper 24 bits of nextLong(), with an unsigned right shift and a multiply by a very small float (5.9604645E-8f or 0x1p-24f). It tends to be fast if nextLong() is fast, but alternative implementations could use 24 bits of nextInt() (or just next(int), giving it 24) if that generator doesn't efficiently generate 64-bit longs.
  
  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 public implementation uses the upper 53 bits of nextLong(), with an unsigned right shift and a multiply by a very small double (1.1102230246251565E-16, or 0x1p-53). It should perform well if nextLong() performs well, and is expected to perform less well if the generator naturally produces 32 or fewer bits at a time.
  
  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 rarely, 0.000000000000000005421010862427522% of the time if there is no bias in the generator, but it can happen.
  This method does not return purely-equidistant doubles, because there the resolution of possible doubles it can generate is higher as it approaches 0.0 . The smallest non-zero double this can return is 2.710505431213763e-20 (0x1.0000000000003p-65 in hex), and the largest non-one double this can return is 0.9999999999999999 (0x1.fffffffffffffp-1 in hex). This uses nearly identical code to nextExclusiveDouble(), but does some really unusual operations on both the bits and the double value to be able to produce 0.0 and 1.0 . This retains the exclusive version's quality of having approximately uniform distributions for every mantissa bit, unlike most ways of generating random floating-point numbers.
  
  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.
  
  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
- nextExclusiveDouble
  
  public double nextExclusiveDouble()
  
  Gets a random double between 0.0 and 1.0, exclusive at both ends; this method is also more uniform than nextDouble() if you use the bit-patterns of the returned doubles. This is a simplified version of this algorithm by Allen Downey. This can return double values between 2.710505431213761E-20 and 0.9999999999999999, or 0x1.0p-65 and 0x1.fffffffffffffp-1 in hex notation. It cannot return 0 or 1. Some cases can prefer nextExclusiveDoubleEquidistant(), which is implemented more traditionally but may have slower performance. This method can also return doubles that are extremely close to 0, but can't return doubles that are as close to 1, due to how floating-point numbers work. However, nextExclusiveDoubleEquidistant() can return only a minimum value that is as distant from 0 as its maximum value is distant from 1.
  To compare, nextDouble() and nextExclusiveDoubleEquidistant() are less likely to produce a "1" bit for their lowest 5 bits of mantissa/significand (the least significant bits numerically, but potentially important for some uses), with the least significant bit produced half as often as the most significant bit in the mantissa. As for this method, it has approximately the same likelihood of producing a "1" bit for any position in the mantissa.
  The implementation may have different performance characteristics than nextDouble(), because this doesn't perform any floating-point multiplication or division, and instead assembles bits obtained by one call to nextLong(). This uses BitConversion.longBitsToDouble(long) and BitConversion.countLeadingZeros(long), both of which typically have optimized intrinsics on HotSpot, and this is branchless and loopless, unlike the original algorithm by Allen Downey. When compared with nextExclusiveDoubleEquidistant(), this method performs better on at least HotSpot JVMs. On GraalVM 17, this is over twice as fast as nextExclusiveDoubleEquidistant().
  
  Overrides:
  
  nextExclusiveDouble in class EnhancedRandom
  
  Returns:
  
  a random uniform double between 2.710505431213761E-20 and 0.9999999999999999 (both inclusive)
- nextExclusiveDoubleEquidistant
  
  public double nextExclusiveDoubleEquidistant()
  
  Gets a random double between 0.0 and 1.0, exclusive at both ends. This can return double values between 1.1102230246251565E-16 and 0.9999999999999999, or 0x1.0p-53 and 0x1.fffffffffffffp-1 in hex notation. It cannot return 0 or 1, and its minimum and maximum results are equally distant from 0 and from 1, respectively. Many usages may prefer nextExclusiveDouble(), which is better-distributed if you consider the bit representation of the returned doubles, tends to perform better, and can return doubles that much closer to 0 than this can.
  The implementation simply uses nextLong(long) to get a uniformly-chosen long between 1 and (2 to the 53) - 1, both inclusive, and multiplies it by (2 to the -53). Using larger values than (2 to the 53) would cause issues with the double math.
  
  Overrides:
  
  nextExclusiveDoubleEquidistant in class EnhancedRandom
  
  Returns:
  
  a random uniform double between 0 and 1 (both exclusive)
- nextExclusiveDouble
  
  public double nextExclusiveDouble(double outerBound)
  
  Just like nextDouble(double), but this is exclusive on both 0.0 and outerBound. Like nextExclusiveDouble(), which this uses, this may have better bit-distribution of double values, and it may also be better able to produce very small doubles when outerBound is large. It should typically be a little faster than nextDouble(double).
  
  Overrides:
  
  nextExclusiveDouble in class EnhancedRandom
  
  Parameters:
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  Returns:
  
  a double between 0.0, exclusive, and outerBound, exclusive
- nextExclusiveDouble
  
  public double nextExclusiveDouble(double innerBound, double outerBound)
  
  Just like nextDouble(double, double), but this is exclusive on both innerBound and outerBound. Like nextExclusiveDouble(), which this uses,, this may have better bit-distribution of double values, and it may also be better able to produce doubles close to innerBound when outerBound - innerBound is large. It should typically be a little faster than nextDouble(double, double).
  
  Overrides:
  
  nextExclusiveDouble in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner exclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  Returns:
  
  a double between innerBound, exclusive, and outerBound, exclusive
- nextExclusiveSignedDouble
  
  public double nextExclusiveSignedDouble()
  
  Gets a random double that may be positive or negative, but cannot be 0, and always has a magnitude less than 1.
  This is a modified version of this algorithm by Allen Downey. This version can return double values between -0.9999999999999999 and -5.421010862427522E-20, as well as between 5.421010862427522E-20 and 0.9999999999999999, or -0x1.fffffffffffffp-1 to -0x1.0p-64 as well as between 0x1.0p-64 and 0x1.fffffffffffffp-1 in hex notation. It cannot return -1, 0 or 1. It has much more uniform bit distribution across its mantissa/significand bits than Random.nextDouble(), especially when the result of nextDouble() is expanded to the -1.0 to 1.0 range (such as with 2.0 * (nextDouble() - 0.5)). Where that code using nextDouble() is unable to produce a "1" bit for its lowest bit of mantissa (the least significant bits numerically, but potentially important for some uses), this has approximately the same likelihood of producing a "1" bit for any positions in the mantissa, and also equal odds for the sign bit.
  Some useful properties here are that this produces a negative result exactly as often as the underlying generator produces a negative result with nextLong(), and the least-significant bits that the underlying generator produces with nextLong() are also the least-significant in magnitude here. This could be used with lower-quality randomness, like a linear congruential generator, and the flaws those have with their low-order bits would barely affect floating-point results here. This generator also produces results that are symmetrical around 0.0, with every possible positive number having a possible negative number of equal magnitude, if the underlying generator is at least 1-dimensionally equidistributed. Note that generators such as Xoroshiro128StarStarRandom and Xoshiro256StarStarRandom cannot return 0L from nextLong() as frequently as other results, so this is not (technically) true of those. Those generators (and other LFSR-type generators) will produce 5.421010862427522E-20 less frequently than -5.421010862427522E-20 .
  
  Overrides:
  
  nextExclusiveSignedDouble in class EnhancedRandom
  
  Returns:
  
  a random uniform double between -1 and 1 with a tiny hole around 0 (all exclusive)
- nextExclusiveFloat
  
  public float nextExclusiveFloat()
  
  Gets a random float between 0.0 and 1.0, exclusive at both ends. This method is also more uniform than nextFloat() if you use the bit-patterns of the returned floats. This is a simplified version of this algorithm by Allen Downey. This version can return float values between 2.7105054E-20 to 0.99999994, or 0x1.0p-65 to 0x1.fffffep-1 in hex notation. It cannot return 0 or 1. To compare, nextFloat() is less likely to produce a "1" bit for its lowest 5 bits of mantissa/significand (the least significant bits numerically, but potentially important for some uses), with the least significant bit produced half as often as the most significant bit in the mantissa. As for this method, it has approximately the same likelihood of producing a "1" bit for any position in the mantissa.
  The implementation may have different performance characteristics than nextFloat(), because this doesn't perform any floating-point multiplication or division, and instead assembles bits obtained by two calls to nextInt(). This uses BitConversion.intBitsToFloat(int) and BitConversion.countLeadingZeros(long), both of which typically have optimized intrinsics on HotSpot, and this is branchless and loopless, unlike the original algorithm by Allen Downey.
  
  Overrides:
  
  nextExclusiveFloat in class EnhancedRandom
  
  Returns:
  
  a random uniform float between 0 and 1 (both exclusive)
- nextExclusiveFloatEquidistant
  
  public float nextExclusiveFloatEquidistant()
  
  Gets a random float between 0.0 and 1.0, exclusive at both ends. This can return float values between 5.9604645E-8 and 0.99999994, or 0x1.0p-24 and 0x1.fffffep-1 in hex notation. It cannot return 0 or 1, and its minimum and maximum results are equally distant from 0 and from 1, respectively. Most usages might prefer nextExclusiveFloat(), which is better-distributed if you consider the bit representation of the returned floats, tends to perform better, and can return floats that much closer to 0 than this can.
  The implementation simply uses nextInt(int) to get a uniformly-chosen int between 1 and (2 to the 24) - 1, both inclusive, and multiplies it by (2 to the -24). Using larger values than (2 to the 24) would cause issues with the float math.
  
  Overrides:
  
  nextExclusiveFloatEquidistant in class EnhancedRandom
  
  Returns:
  
  a random uniform float between 0 and 1 (both exclusive)
- nextExclusiveFloat
  
  public float nextExclusiveFloat(float outerBound)
  
  Just like nextFloat(float), but this is exclusive on both 0.0 and outerBound. Like nextExclusiveFloat(), this may have better bit-distribution of float values, and it may also be better able to produce very small floats when outerBound is large. It should be a little faster than nextFloat(float).
  
  Overrides:
  
  nextExclusiveFloat in class EnhancedRandom
  
  Parameters:
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  Returns:
  
  a float between 0.0, exclusive, and outerBound, exclusive
- nextExclusiveFloat
  
  public float nextExclusiveFloat(float innerBound, float outerBound)
  
  Just like nextFloat(float, float), but this is exclusive on both innerBound and outerBound. Like nextExclusiveFloat(), this may have better bit-distribution of float values, and it may also be better able to produce floats close to innerBound when outerBound - innerBound is large. It should be a little faster than nextFloat(float, float).
  
  Overrides:
  
  nextExclusiveFloat in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner exclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  Returns:
  
  a float between innerBound, exclusive, and outerBound, exclusive
- nextExclusiveSignedFloat
  
  public float nextExclusiveSignedFloat()
  
  Gets a random float that may be positive or negative, but cannot be 0, and always has a magnitude less than 1.
  This is a modified version of this algorithm by Allen Downey. This version can return float values between -0.99999994 and -5.421011E-20, as well as between 5.421011E-20 and 0.99999994, or -0x1.fffffep-1 to -0x1.0p-64 as well as between 0x1.0p-64 and 0x1.fffffep-1 in hex notation. It cannot return -1, 0 or 1. It has much more uniform bit distribution across its mantissa/significand bits than Random.nextFloat(), especially when the result of nextFloat() is expanded to the -1.0 to 1.0 range (such as with 2.0 * (nextFloat() - 0.5)). Where the given example code is unable to produce a "1" bit for its lowest bit of mantissa (the least significant bits numerically, but potentially important for some uses), this has approximately the same likelihood of producing a "1" bit for any positions in the mantissa, and also equal odds for the sign bit.
  This calls nextInt() twice.
  
  Overrides:
  
  nextExclusiveSignedFloat in class EnhancedRandom
  
  Returns:
  
  a random uniform float between -1 and 1 with a tiny hole around 0 (all exclusive)
- 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 does not use a rough approximation, which is a departure from earlier versions; instead, it uses the Ziggurat method, which produces high-quality variables very quickly. Like earlier versions that used probit() or a bit-counting approximation, this requests exactly one long from the generator's sequence (using nextLong()). This makes it different from code like java.util.Random's nextGaussian() method, which can (rarely) fetch a higher number of random doubles.
  The implementation here was ported from code by Olaf Berstein, based on a paper by Jorgen A. Doornik and some steps from a paper by George Marsaglia. Distributor has more information, for the curious.
  
  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
- nextGaussian
  
  public double nextGaussian(double mean, double stddev)
  
  Returns the next pseudorandom, Gaussian ("normally") distributed double value with the specified mean and standard deviation from this random number generator's sequence.
  This defaults to simply returning mean + stddev * nextGaussian().
  
  Specified by:
  
  nextGaussian in interface RandomGenerator
  
  Overrides:
  
  nextGaussian in class EnhancedRandom
  
  Parameters:
  
  mean - the mean of the Gaussian distribution to be drawn from
  
  stddev - the standard deviation (square root of the variance) of the Gaussian distribution to be drawn from
  
  Returns:
  
  a Gaussian distributed double with the specified mean and standard deviation
- nextGaussianFloat
  
  public float nextGaussianFloat()
  
  Returns the next pseudorandom, Gaussian ("normally") distributed float value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
  The general contract of nextGaussianFloat is that one float value, chosen from (approximately) the usual normal distribution with mean 0.0 and standard deviation 1.0, is pseudorandomly generated and returned.
  This uses Distributor.probitI(int). Unlike nextGaussian(), this requests exactly one int from the generator's sequence (using nextInt()). This also makes it different from code like java.util.Random's nextGaussian() method, which can (rarely) fetch an arbitrarily higher number of random doubles.
  
  Overrides:
  
  nextGaussianFloat in class EnhancedRandom
  
  Returns:
  
  the next pseudorandom, Gaussian ("normally") distributed float value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence
- nextGaussianFloat
  
  public float nextGaussianFloat(float mean, float stddev)
  
  Returns the next pseudorandom, Gaussian ("normally") distributed float value with the specified mean and standard deviation from this random number generator's sequence.
  This defaults to simply returning mean + stddev * nextGaussianFloat().
  
  Overrides:
  
  nextGaussianFloat in class EnhancedRandom
  
  Parameters:
  
  mean - the mean of the Gaussian distribution to be drawn from
  
  stddev - the standard deviation (square root of the variance) of the Gaussian distribution to be drawn from
  
  Returns:
  
  a Gaussian distributed float with the specified mean and standard deviation
- nextExponential
  
  public double nextExponential()
  
  Returns a non-negative double value pseudorandomly chosen from an exponential distribution whose mean is 1.
  
  Specified by:
  
  nextExponential in interface RandomGenerator
  
  Overrides:
  
  nextExponential in class EnhancedRandom
  
  Returns:
  
  a non-negative double value pseudorandomly chosen from an exponential distribution with a mean of 1
- 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 nextTriangular(-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 nextTriangular(-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 to nextTriangular(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
- minIntOf
  
  public int minIntOf(int innerBound, int outerBound, int trials)
  
  Returns the minimum result of trials calls to nextSignedInt(int, int) using the given innerBound and outerBound. The innerBound is inclusive; the outerBound is exclusive. The higher trials is, the lower the average value this returns.
  
  Overrides:
  
  minIntOf in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner inclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  trials - how many random numbers to acquire and compare
  
  Returns:
  
  the lowest random number between innerBound (inclusive) and outerBound (exclusive) this found
- maxIntOf
  
  public int maxIntOf(int innerBound, int outerBound, int trials)
  
  Returns the maximum result of trials calls to nextSignedInt(int, int) using the given innerBound and outerBound. The innerBound is inclusive; the outerBound is exclusive. The higher trials is, the higher the average value this returns.
  
  Overrides:
  
  maxIntOf in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner inclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  trials - how many random numbers to acquire and compare
  
  Returns:
  
  the highest random number between innerBound (inclusive) and outerBound (exclusive) this found
- minLongOf
  
  public long minLongOf(long innerBound, long outerBound, int trials)
  
  Returns the minimum result of trials calls to nextSignedLong(long, long) using the given innerBound and outerBound. The innerBound is inclusive; the outerBound is exclusive. The higher trials is, the lower the average value this returns.
  
  Overrides:
  
  minLongOf in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner inclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  trials - how many random numbers to acquire and compare
  
  Returns:
  
  the lowest random number between innerBound (inclusive) and outerBound (exclusive) this found
- maxLongOf
  
  public long maxLongOf(long innerBound, long outerBound, int trials)
  
  Returns the maximum result of trials calls to nextSignedLong(long, long) using the given innerBound and outerBound. The innerBound is inclusive; the outerBound is exclusive. The higher trials is, the higher the average value this returns.
  
  Overrides:
  
  maxLongOf in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner inclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  trials - how many random numbers to acquire and compare
  
  Returns:
  
  the highest random number between innerBound (inclusive) and outerBound (exclusive) this found
- minDoubleOf
  
  public double minDoubleOf(double innerBound, double outerBound, int trials)
  
  Returns the minimum result of trials calls to nextDouble(double, double) using the given innerBound and outerBound. The innerBound is inclusive; the outerBound is exclusive. The higher trials is, the lower the average value this returns.
  
  Overrides:
  
  minDoubleOf in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner inclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  trials - how many random numbers to acquire and compare
  
  Returns:
  
  the lowest random number between innerBound (inclusive) and outerBound (exclusive) this found
- maxDoubleOf
  
  public double maxDoubleOf(double innerBound, double outerBound, int trials)
  
  Returns the maximum result of trials calls to nextDouble(double, double) using the given innerBound and outerBound. The innerBound is inclusive; the outerBound is exclusive. The higher trials is, the higher the average value this returns.
  
  Overrides:
  
  maxDoubleOf in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner inclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  trials - how many random numbers to acquire and compare
  
  Returns:
  
  the highest random number between innerBound (inclusive) and outerBound (exclusive) this found
- minFloatOf
  
  public float minFloatOf(float innerBound, float outerBound, int trials)
  
  Returns the minimum result of trials calls to nextFloat(float, float) using the given innerBound and outerBound. The innerBound is inclusive; the outerBound is exclusive. The higher trials is, the lower the average value this returns.
  
  Overrides:
  
  minFloatOf in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner inclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  trials - how many random numbers to acquire and compare
  
  Returns:
  
  the lowest random number between innerBound (inclusive) and outerBound (exclusive) this found
- maxFloatOf
  
  public float maxFloatOf(float innerBound, float outerBound, int trials)
  
  Returns the maximum result of trials calls to nextFloat(float, float) using the given innerBound and outerBound. The innerBound is inclusive; the outerBound is exclusive. The higher trials is, the higher the average value this returns.
  
  Overrides:
  
  maxFloatOf in class EnhancedRandom
  
  Parameters:
  
  innerBound - the inner inclusive bound; may be positive or negative
  
  outerBound - the outer exclusive bound; may be positive or negative
  
  trials - how many random numbers to acquire and compare
  
  Returns:
  
  the highest random number between innerBound (inclusive) and outerBound (exclusive) this found
- 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
- randomElement
  
  public <T> T randomElement(List<T> list)
  
  Gets a randomly selected item from the given List, such as an ArrayList. If the List is empty, this throws an IndexOutOfBoundsException.
  
  Overrides:
  
  randomElement in class EnhancedRandom
  
  Type Parameters:
  
  T - the type of items
  
  Parameters:
  
  list - a non-empty implementation of List, such as ArrayList
  
  Returns:
  
  a randomly-selected item from list
- 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(int[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- 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(long[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- 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(float[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- 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(char[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- 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(byte[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- 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(double[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- 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(short[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- 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 void shuffle(boolean[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- 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
- shuffle
  
  public <T> void shuffle(T[] items, int offset, int length)
  
  Shuffles a section of 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
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle
- shuffle
  
  public <T> void shuffle(List<T> items)
  
  Shuffles the given List in-place pseudo-randomly, using this to determine how to shuffle.
  
  Overrides:
  
  shuffle in class EnhancedRandom
  
  Parameters:
  
  items - a List of some type T; must be non-null but may contain null items
- shuffle
  
  public <T> void shuffle(List<T> items, int offset, int length)
  
  Shuffles a section of the given List in-place pseudo-randomly, using this to determine how to shuffle.
  
  Overrides:
  
  shuffle in class EnhancedRandom
  
  Parameters:
  
  items - a List of some type T; must be non-null but may contain null items
  
  offset - the index of the first element of the array that can be shuffled
  
  length - the length of the section to shuffle

Class Enhanced32Random

Nested Class Summary

Nested classes/interfaces inherited from interface java.util.random.RandomGenerator

Constructor Summary

Method Summary

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

Methods inherited from class java.util.Random

Methods inherited from class java.lang.Object

Methods inherited from interface java.util.random.RandomGenerator

Constructor Details

Enhanced32Random

Enhanced32Random

Method Details

mainlyGeneratesInt

next

nextBytes

nextInt

nextInt

nextUnsignedInt

nextSignedInt

nextInt

nextSignedInt

nextLong

nextLong

nextSignedLong

nextLong

nextSignedLong

nextBoolean

nextFloat

nextFloat

nextFloat

nextDouble

nextDouble

nextDouble

nextInclusiveDouble

nextInclusiveDouble

nextInclusiveDouble

nextInclusiveFloat

nextInclusiveFloat

nextInclusiveFloat

nextExclusiveDouble

nextExclusiveDoubleEquidistant

nextExclusiveDouble

nextExclusiveDouble

nextExclusiveSignedDouble

nextExclusiveFloat

nextExclusiveFloatEquidistant

nextExclusiveFloat

nextExclusiveFloat

nextExclusiveSignedFloat

nextGaussian

nextGaussian

nextGaussianFloat

nextGaussianFloat

nextExponential

nextBoolean

nextSign

nextTriangular

nextTriangular

nextTriangular

nextTriangular

minIntOf

maxIntOf

minLongOf

maxLongOf

minDoubleOf

maxDoubleOf

minFloatOf

maxFloatOf

randomElement

randomElement

shuffle

shuffle

shuffle

shuffle

shuffle

shuffle

shuffle

shuffle

shuffle