RandomGenerator.StreamableGenerator

public static interface RandomGenerator.StreamableGenerator
implements RandomGenerator

java.util.random.RandomGenerator.StreamableGenerator

Known indirect subclasses

RandomGenerator.ArbitrarilyJumpableGenerator, RandomGenerator.JumpableGenerator, RandomGenerator.LeapableGenerator, RandomGenerator.SplittableGenerator, SplittableRandom

RandomGenerator.ArbitrarilyJumpableGenerator	This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can easily jump forward, by an arbitrary amount, to a distant point in the state cycle.
RandomGenerator.JumpableGenerator	This interface is designed to provide a common protocol for objects that generate pseudorandom values and can easily jump forward, by a moderate amount (ex.
RandomGenerator.LeapableGenerator	This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can easily not only jump but also leap forward, by a large amount (ex.
RandomGenerator.SplittableGenerator	This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can be split into two objects (the original one and a new one) each of which obey that same protocol (and therefore can be recursively split indefinitely).
SplittableRandom	A generator of uniform pseudorandom values (with period 2⁶⁴) applicable for use in (among other contexts) isolated parallel computations that may generate subtasks.

The StreamableGenerator interface augments the RandomGenerator interface to provide methods that return streams of RandomGenerator objects. Ideally, such a stream of objects would have the property that the behavior of each object is statistically independent of all the others. In practice, one may have to settle for some approximation to this property.

A generator that implements interface SplittableGenerator may choose to use its splits() method to implement the rngs() method required by this interface.

A generator that implements interface JumpableGenerator may choose to use its jumps() method to implement the rngs() method required by this interface.

A generator that implements interface LeapableGenerator may choose to use its leaps() method to implement the rngs() method required by this interface.

Objects that implement StreamableGenerator are typically not cryptographically secure. Consider instead using SecureRandom to get a cryptographically secure pseudo-random number generator for use by security-sensitive applications.

Summary

Public methods
`static RandomGenerator.StreamableGenerator`	`of(String name)` Returns an instance of `StreamableGenerator` that utilizes the `name` algorithm.
`default Stream<RandomGenerator>`	`rngs(long streamSize)` Returns an effectively unlimited stream of objects, each of which implements the `RandomGenerator` interface.
`abstract Stream<RandomGenerator>`	`rngs()` Returns an effectively unlimited stream of objects, each of which implements the `RandomGenerator` interface.

Inherited methods

From interface


        
          java.util.random.RandomGenerator

`default DoubleStream`	`doubles(long streamSize, double randomNumberOrigin, double randomNumberBound)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `double` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default DoubleStream`	`doubles(long streamSize)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `double` values.
`default DoubleStream`	`doubles()` Returns an effectively unlimited stream of pseudorandomly chosen `double` values.
`default DoubleStream`	`doubles(double randomNumberOrigin, double randomNumberBound)` Returns an effectively unlimited stream of pseudorandomly chosen `double` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`static RandomGenerator`	`getDefault()` Returns a `RandomGenerator` meeting the minimal requirement of having an algorithm whose state bits are greater than or equal 64.
`default IntStream`	`ints(long streamSize)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `int` values.
`default IntStream`	`ints(int randomNumberOrigin, int randomNumberBound)` Returns an effectively unlimited stream of pseudorandomly chosen `int` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default IntStream`	`ints()` Returns an effectively unlimited stream of pseudorandomly chosen `int` values.
`default IntStream`	`ints(long streamSize, int randomNumberOrigin, int randomNumberBound)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `int` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default boolean`	`isDeprecated()` Return true if the implementation of RandomGenerator (algorithm) has been marked for deprecation.
`default LongStream`	`longs(long streamSize)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `long` values.
`default LongStream`	`longs()` Returns an effectively unlimited stream of pseudorandomly chosen `long` values.
`default LongStream`	`longs(long randomNumberOrigin, long randomNumberBound)` Returns an effectively unlimited stream of pseudorandomly chosen `long` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default LongStream`	`longs(long streamSize, long randomNumberOrigin, long randomNumberBound)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `long` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default boolean`	`nextBoolean()` Returns a pseudorandomly chosen `boolean` value.
`default void`	`nextBytes(byte[] bytes)` Fills a user-supplied byte array with generated byte values pseudorandomly chosen uniformly from the range of values between -128 (inclusive) and 127 (inclusive).
`default double`	`nextDouble()` Returns a pseudorandom `double` value between zero (inclusive) and one (exclusive).
`default double`	`nextDouble(double bound)` Returns a pseudorandomly chosen `double` value between zero (inclusive) and the specified bound (exclusive).
`default double`	`nextDouble(double origin, double bound)` Returns a pseudorandomly chosen `double` value between the specified origin (inclusive) and the specified bound (exclusive).
`default double`	`nextExponential()` Returns a nonnegative `double` value pseudorandomly chosen from an exponential distribution whose mean is 1.
`default float`	`nextFloat(float origin, float bound)` Returns a pseudorandomly chosen `float` value between the specified origin (inclusive) and the specified bound (exclusive).
`default float`	`nextFloat()` Returns a pseudorandom `float` value between zero (inclusive) and one (exclusive).
`default float`	`nextFloat(float bound)` Returns a pseudorandomly chosen `float` value between zero (inclusive) and the specified bound (exclusive).
`default double`	`nextGaussian(double mean, double stddev)` Returns a `double` value pseudorandomly chosen from a Gaussian (normal) distribution with a mean and standard deviation specified by the arguments.
`default double`	`nextGaussian()` Returns a `double` value pseudorandomly chosen from a Gaussian (normal) distribution whose mean is 0 and whose standard deviation is 1.
`default int`	`nextInt(int origin, int bound)` Returns a pseudorandomly chosen `int` value between the specified origin (inclusive) and the specified bound (exclusive).
`default int`	`nextInt()` Returns a pseudorandomly chosen `int` value.
`default int`	`nextInt(int bound)` Returns a pseudorandomly chosen `int` value between zero (inclusive) and the specified bound (exclusive).
`default long`	`nextLong(long origin, long bound)` Returns a pseudorandomly chosen `long` value between the specified origin (inclusive) and the specified bound (exclusive).
`default long`	`nextLong(long bound)` Returns a pseudorandomly chosen `long` value between zero (inclusive) and the specified bound (exclusive).
`abstract long`	`nextLong()` Returns a pseudorandomly chosen `long` value.
`static RandomGenerator`	`of(String name)` Returns an instance of `RandomGenerator` that utilizes the `name` algorithm.

Public methods

of

Added in API level 35

public static RandomGenerator.StreamableGenerator of (String name)

Returns an instance of StreamableGenerator that utilizes the name algorithm.

Parameters
`name`	`String`: Name of random number generator algorithm

Returns
`RandomGenerator.StreamableGenerator`	An instance of `StreamableGenerator`

Throws
`NullPointerException`	if name is null
`IllegalArgumentException`	if the named algorithm is not found

rngs

Added in API level 35

public Stream<RandomGenerator> rngs (long streamSize)

Returns an effectively unlimited stream of objects, each of which implements the RandomGenerator interface. Ideally the generators in the stream will appear to be statistically independent. The new generators are of the same algorithm as this generator.

Implementation Requirements:

The default implementation calls rngs() and then limits its length to streamSize.

Parameters
`streamSize`	`long`: the number of generators to generate

Returns
`Stream<RandomGenerator>`	a stream of objects that implement the `RandomGenerator` interface

Throws
`IllegalArgumentException`	if `streamSize` is less than zero

rngs

Added in API level 35

public abstract Stream<RandomGenerator> rngs ()

Implementation Note:

It is permitted to implement this method in a manner equivalent to rngs (Long.MAX_VALUE).

Returns
`Stream<RandomGenerator>`	a stream of objects that implement the `RandomGenerator` interface