# Class Random

java.lang.Object
java.util.Random

All Implemented Interfaces:
  `Serializable, RandomGenerator`

Direct Known Subclasses:
  `SecureRandom, ThreadLocalRandom`

public class Random extends Object implements RandomGenerator, Serializable
An instance of this class is used to generate a stream of pseudorandom numbers; its period is only 248. The class uses a 48-bit seed, which is modified using a linear congruential formula. (See Donald E. Knuth, The Art of Computer Programming, Volume 2, Third edition: Seminumerical Algorithms, Section 3.2.1.)

If two instances of `Random` are created with the same seed, and the same sequence of method calls is made for each, they will generate and return identical sequences of numbers. In order to guarantee this property, particular algorithms are specified for the class `Random`. Java implementations must use all the algorithms shown here for the class `Random`, for the sake of absolute portability of Java code. However, subclasses of class `Random` are permitted to use other algorithms, so long as they adhere to the general contracts for all the methods.

The algorithms implemented by class `Random` use a `protected` utility method that on each invocation can supply up to 32 pseudorandomly generated bits.

Many applications will find the method `Math.random()` simpler to use.

Instances of `java.util.Random` are threadsafe. However, the concurrent use of the same `java.util.Random` instance across threads may encounter contention and consequent poor performance. Consider instead using `ThreadLocalRandom` in multithreaded designs.

Instances of `java.util.Random` are not cryptographically secure. Consider instead using `SecureRandom` to get a cryptographically secure pseudo-random number generator for use by security-sensitive applications.

Since:
  1.0
See Also:
  - Serialized Form

- ## Nested Class Summary

  ### Nested classes/interfaces declared in interface RandomGenerator

  `RandomGenerator.ArbitrarilyJumpableGenerator, RandomGenerator.JumpableGenerator, RandomGenerator.LeapableGenerator, RandomGenerator.SplittableGenerator, RandomGenerator.StreamableGenerator`

- ## Constructor Summary

  Constructors
  Constructor
  Description
  `Random()`
  Creates a new random number generator.
  `Random(long seed)`
  Creates a new random number generator using a single `long` seed.

- ## Method Summary

  Modifier and Type
  Method
  Description
  `DoubleStream`
  `doubles()`
  Returns an effectively unlimited stream of pseudorandom `double` values, each between zero (inclusive) and one (exclusive).
  `DoubleStream`
  `doubles(double randomNumberOrigin, double randomNumberBound)`
  Returns an effectively unlimited stream of pseudorandom `double` values, each conforming to the given origin (inclusive) and bound (exclusive).
  `DoubleStream`
  `doubles(long streamSize)`
  Returns a stream producing the given `streamSize` number of pseudorandom `double` values, each between zero (inclusive) and one (exclusive).
  `DoubleStream`
  `doubles(long streamSize, double randomNumberOrigin, double randomNumberBound)`
  Returns a stream producing the given `streamSize` number of pseudorandom `double` values, each conforming to the given origin (inclusive) and bound (exclusive).
  `static Random`
  `from(RandomGenerator generator)`
  Returns an instance of `Random` that delegates method calls to the `RandomGenerator` argument.
  `IntStream`
  `ints()`
  Returns an effectively unlimited stream of pseudorandom `int` values.
  `IntStream`
  `ints(int randomNumberOrigin, int randomNumberBound)`
  Returns an effectively unlimited stream of pseudorandom `int` values, each conforming to the given origin (inclusive) and bound (exclusive).
  `IntStream`
  `ints(long streamSize)`
  Returns a stream producing the given `streamSize` number of pseudorandom `int` values.
  `IntStream`
  `ints(long streamSize, int randomNumberOrigin, int randomNumberBound)`
  Returns a stream producing the given `streamSize` number of pseudorandom `int` values, each conforming to the given origin (inclusive) and bound (exclusive).
  `LongStream`
  `longs()`
  Returns an effectively unlimited stream of pseudorandom `long` values.
  `LongStream`
  `longs(long streamSize)`
  Returns a stream producing the given `streamSize` number of pseudorandom `long` values.
  `LongStream`
  `longs(long randomNumberOrigin, long randomNumberBound)`
  Returns an effectively unlimited stream of pseudorandom `long` values, each conforming to the given origin (inclusive) and bound (exclusive).
  `LongStream`
  `longs(long streamSize, long randomNumberOrigin, long randomNumberBound)`
  Returns a stream producing the given `streamSize` number of pseudorandom `long`, each conforming to the given origin (inclusive) and bound (exclusive).
  `protected int`
  `next(int bits)`
  Generates the next pseudorandom number.
  `boolean`
  `nextBoolean()`
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
  `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` and `1.0` from this random number generator's sequence.
  `float`
  `nextFloat()`
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
  `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.
  `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.
  `long`
  `nextLong()`
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
  `void`
  `setSeed(long seed)`
  Sets or updates the seed of this random number generator using the provided `long` seed value (optional operation).

  ### Methods declared in class Object

  `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

  ### Methods declared in interface RandomGenerator

  `equiDoubles, isDeprecated, nextDouble, nextDouble, nextExponential, nextFloat, nextFloat, nextGaussian, nextInt, nextLong, nextLong`

- ## Constructor Details

  - ### Random

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

  - ### Random

    public Random(long seed)
    Creates a new random number generator using a single `long` seed. The seed is the initial value of the internal state of the pseudorandom number generator which is maintained by method `next(int)`.
    Implementation Requirements:
      The invocation `new Random(seed)` is equivalent to:

          Random rnd = new Random();
          rnd.setSeed(seed);

    Parameters:
      `seed` - the initial seed
    See Also:
      - `setSeed(long)`

- ## Method Details

  - ### from

    public static Random from(RandomGenerator generator)
    Returns an instance of `Random` that delegates method calls to the `RandomGenerator` argument. If the generator is an instance of `Random`, it is returned. Otherwise, this method returns an instance of `Random` that delegates all methods except `setSeed` to the generator. The returned instance's `setSeed` method always throws `UnsupportedOperationException`. The returned instance is not serializable.
    Parameters:
      `generator` - the `RandomGenerator` calls are delegated to
    Returns:
      the delegating `Random` instance
    Throws:
      `NullPointerException` - if generator is null
    Since:
      19

  - ### setSeed

    public void setSeed(long seed)
    Sets or updates the seed of this random number generator using the provided `long` seed value (optional operation).
    Implementation Requirements:
      The implementation in this class alters the state of this random number generator so that it is in the same state as if it had just been created with `new Random(seed)`. It atomically updates the seed to

          (seed ^ 0x5DEECE66DL) & ((1L << 48) - 1)

      and clears the `haveNextNextGaussian` flag used by `nextGaussian()`. Note that this uses only 48 bits of the given seed value.
    Parameters:
      `seed` - the seed value
    Throws:
      `UnsupportedOperationException` - if the `setSeed` operation is not supported by this random number generator

  - ### next

    protected int next(int bits)
    Generates the next pseudorandom number. This method returns an `int` value such that, 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`.
    API Note:
      The other random-producing methods in this class are implemented in terms of this method, so subclasses can override just this method to provide a different source of pseudorandom numbers for the entire class.
    Implementation Requirements:
      The implementation in this class atomically updates the seed to

          (seed * 0x5DEECE66DL + 0xBL) & ((1L << 48) - 1)

      and returns

          (int)(seed >>> (48 - bits)).

      This is a linear congruential pseudorandom number generator, as defined by D. H. Lehmer and described by Donald E. Knuth in The Art of Computer Programming, Volume 2, Third edition: Seminumerical Algorithms, section 3.2.1.

    Parameters:
      `bits` - random bits
    Returns:
      the next pseudorandom value from this random number generator's sequence
    Since:
      1.1

  - ### 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`
    Implementation Requirements:
      The method `nextBytes` is implemented by class `Random` as if by:

          public void nextBytes(byte[] bytes) {
            for (int i = 0; i < bytes.length; )
              for (int rnd = nextInt(), n = Math.min(bytes.length - i, 4);
                   n-- > 0; rnd >>= 8)
                bytes[i++] = (byte)rnd;
          }

    Parameters:
      `bytes` - the byte array to fill with random bytes
    Throws:
      `NullPointerException` - if the byte array is null
    Since:
      1.1

  - ### 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`
    Implementation Requirements:
      The method `nextInt` is implemented by class `Random` as if by:

          public int nextInt() {
            return next(32);
          }

    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.
    Specified by:
      `nextInt` in interface `RandomGenerator`
    Implementation Requirements:
      The method `nextInt(int bound)` is implemented by class `Random` as if by:

          public int nextInt(int bound) {
            if (bound <= 0)
              throw new IllegalArgumentException("bound must be positive");

            if ((bound & -bound) == bound)  // i.e., bound is a power of 2
              return (int)((bound * (long)next(31)) >> 31);

            int bits, val;
            do {
                bits = next(31);
                val = bits % bound;
            } while (bits - val + (bound-1) < 0);
            return val;
          }

      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 `int` values from the stated range with perfect uniformity.

      The algorithm is slightly tricky. It rejects values that would result in an uneven distribution (due to the fact that 2^31 is not divisible by n). The probability of a value being rejected depends on n. The worst case is n=2^30+1, for which the probability of a reject is 1/2, and the expected number of iterations before the loop terminates is 2.

      The algorithm treats the case where n is a power of two specially: it returns the correct number of high-order bits from the underlying pseudo-random number generator. In the absence of special treatment, the correct number of low-order bits would be returned. Linear congruential pseudo-random number generators such as the one implemented by this class are known to have short periods in the sequence of values of their low-order bits. Thus, this special case greatly increases the length of the sequence of values returned by successive calls to this method if n is a small power of two.

    Parameters:
      `bound` - the upper bound (exclusive). Must be positive.
    Returns:
      the next pseudorandom, uniformly distributed `int` value between zero (inclusive) and `bound` (exclusive) from this random number generator's sequence
    Throws:
      `IllegalArgumentException` - if bound is not positive
    Since:
      1.2

  - ### 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.
    Specified by:
      `nextLong` in interface `RandomGenerator`
    Implementation Requirements:
      The method `nextLong` is implemented by class `Random` as if by:

          public long nextLong() {
            return ((long)next(32) << 32) + next(32);
          }

      Because class `Random` uses a seed with only 48 bits, this algorithm will not return all possible `long` values.
    Returns:
      the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence

  - ### 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`
    Implementation Requirements:
      The method `nextBoolean` is implemented by class `Random` as if by:

          public boolean nextBoolean() {
            return next(1) != 0;
          }

    Returns:
      the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence
    Since:
      1.2

  - ### nextFloat

    public float nextFloat()
    Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` 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.

    Specified by:
      `nextFloat` in interface `RandomGenerator`
    Implementation Requirements:
      The method `nextFloat` is implemented by class `Random` as if by:

          public float nextFloat() {
            return next(24) / ((float)(1 << 24));
          }

      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.

      [In early versions of Java, the result was incorrectly calculated as:

           return next(30) / ((float)(1 << 30));

      This might seem to be equivalent, if not better, but in fact it introduced a slight nonuniformity because of the bias in the rounding of floating-point numbers: it was slightly more likely that the low-order bit of the significand would be 0 than that it would be 1.]
    Returns:
      the next pseudorandom, uniformly distributed `float` value between `0.0f` and `1.0f` from this random number generator's sequence

  - ### nextDouble

    public double nextDouble()
    Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` 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.

    Specified by:
      `nextDouble` in interface `RandomGenerator`
    Implementation Requirements:
      The method `nextDouble` is implemented by class `Random` as if by:

          public double nextDouble() {
            return (((long)next(26) << 27) + next(27))
              / (double)(1L << 53);
          }

      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.

      [In early versions of Java, the result was incorrectly calculated as:

           return (((long)next(27) << 27) + next(27)) / (double)(1L << 54);

      This might seem to be equivalent, if not better, but in fact it introduced a large nonuniformity because of the bias in the rounding of floating-point numbers: it was three times as likely that the low-order bit of the significand would be 0 than that it would be 1! This nonuniformity probably doesn't matter much in practice, but we strive for perfection.]
    Returns:
      the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence
    See Also:
      - `Math.random()`

  - ### 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.

    Specified by:
      `nextGaussian` in interface `RandomGenerator`
    Implementation Requirements:
      The method `nextGaussian` is implemented by class `Random` as if by a threadsafe version of the following:

          private double nextNextGaussian;
          private boolean haveNextNextGaussian = false;

          public double nextGaussian() {
            if (haveNextNextGaussian) {
              haveNextNextGaussian = false;
              return nextNextGaussian;
            } else {
              double v1, v2, s;
              do {
                v1 = 2 * nextDouble() - 1;   // between -1.0 and 1.0
                v2 = 2 * nextDouble() - 1;   // between -1.0 and 1.0
                s = v1 * v1 + v2 * v2;
              } while (s >= 1 || s == 0);
              double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s)/s);
              nextNextGaussian = v2 * multiplier;
              haveNextNextGaussian = true;
              return v1 * multiplier;
            }
          }

      This uses the polar method of G. E. P. Box, M. E. Muller, and G. Marsaglia, as described by Donald E. Knuth in The Art of Computer Programming, Volume 2, third edition: Seminumerical Algorithms, section 3.4.1, subsection C, algorithm P. Note that it generates two independent values at the cost of only one call to `StrictMath.log` and one call to `StrictMath.sqrt`.
    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

  - ### ints

    public IntStream ints(long streamSize)
    Returns a stream producing the given `streamSize` number of pseudorandom `int` values.

    A pseudorandom `int` value is generated as if it's the result of calling the method `nextInt()`.

    Specified by:
      `ints` in interface `RandomGenerator`
    Parameters:
      `streamSize` - the number of values to generate
    Returns:
      a stream of pseudorandom `int` values
    Throws:
      `IllegalArgumentException` - if `streamSize` is less than zero
    Since:
      1.8

  - ### ints

    public IntStream ints()
    Returns an effectively unlimited stream of pseudorandom `int` values.

    A pseudorandom `int` value is generated as if it's the result of calling the method `nextInt()`.

    Specified by:
      `ints` in interface `RandomGenerator`
    Implementation Note:
      This method is implemented to be equivalent to `ints(Long.MAX_VALUE)`.
    Returns:
      a stream of pseudorandom `int` values
    Since:
      1.8

  - ### ints

    public IntStream ints(long streamSize, int randomNumberOrigin, int randomNumberBound)
    Returns a stream producing the given `streamSize` number of pseudorandom `int` values, each conforming to the given origin (inclusive) and bound (exclusive).

    A pseudorandom `int` value is generated as if it's the result of calling the following method with the origin and bound:

        int nextInt(int origin, int bound) {
          int n = bound - origin;
          if (n > 0) {
            return nextInt(n) + origin;
          }
          else {  // range not representable as int
            int r;
            do {
              r = nextInt();
            } while (r < origin || r >= bound);
            return r;
          }
        }

    Specified by:
      `ints` in interface `RandomGenerator`
    Parameters:
      `streamSize` - the number of values to generate
      `randomNumberOrigin` - the origin (inclusive) of each random value
      `randomNumberBound` - the bound (exclusive) of each random value
    Returns:
      a stream of pseudorandom `int` values, each with the given origin (inclusive) and bound (exclusive)
    Throws:
      `IllegalArgumentException` - if `streamSize` is less than zero, or `randomNumberOrigin` is greater than or equal to `randomNumberBound`
    Since:
      1.8

  - ### ints

    public IntStream ints(int randomNumberOrigin, int randomNumberBound)
    Returns an effectively unlimited stream of pseudorandom `int` values, each conforming to the given origin (inclusive) and bound (exclusive).

    A pseudorandom `int` value is generated as if it's the result of calling the following method with the origin and bound:

        int nextInt(int origin, int bound) {
          int n = bound - origin;
          if (n > 0) {
            return nextInt(n) + origin;
          }
          else {  // range not representable as int
            int r;
            do {
              r = nextInt();
            } while (r < origin || r >= bound);
            return r;
          }
        }

    Specified by:
      `ints` in interface `RandomGenerator`
    Implementation Note:
      This method is implemented to be equivalent to `ints(Long.MAX_VALUE, randomNumberOrigin, randomNumberBound)`.
    Parameters:
      `randomNumberOrigin` - the origin (inclusive) of each random value
      `randomNumberBound` - the bound (exclusive) of each random value
    Returns:
      a stream of pseudorandom `int` values, each with the given origin (inclusive) and bound (exclusive)
    Throws:
      `IllegalArgumentException` - if `randomNumberOrigin` is greater than or equal to `randomNumberBound`
    Since:
      1.8

  - ### longs

    public LongStream longs(long streamSize)
    Returns a stream producing the given `streamSize` number of pseudorandom `long` values.

    A pseudorandom `long` value is generated as if it's the result of calling the method `nextLong()`.

    Specified by:
      `longs` in interface `RandomGenerator`
    Parameters:
      `streamSize` - the number of values to generate
    Returns:
      a stream of pseudorandom `long` values
    Throws:
      `IllegalArgumentException` - if `streamSize` is less than zero
    Since:
      1.8

  - ### longs

    public LongStream longs()
    Returns an effectively unlimited stream of pseudorandom `long` values.

    A pseudorandom `long` value is generated as if it's the result of calling the method `nextLong()`.

    Specified by:
      `longs` in interface `RandomGenerator`
    Implementation Note:
      This method is implemented to be equivalent to `longs(Long.MAX_VALUE)`.
    Returns:
      a stream of pseudorandom `long` values
    Since:
      1.8

  - ### longs

    public LongStream longs(long streamSize, long randomNumberOrigin, long randomNumberBound)
    Returns a stream producing the given `streamSize` number of pseudorandom `long`, each conforming to the given origin (inclusive) and bound (exclusive).

    A pseudorandom `long` value is generated as if it's the result of calling the following method with the origin and bound:

        long nextLong(long origin, long bound) {
          long r = nextLong();
          long n = bound - origin, m = n - 1;
          if ((n & m) == 0L)  // power of two
            r = (r & m) + origin;
          else if (n > 0L) {  // reject over-represented candidates
            for (long u = r >>> 1;            // ensure nonnegative
                 u + m - (r = u % n) < 0L;    // rejection check
                 u = nextLong() >>> 1) // retry
                ;
            r += origin;
          }
          else {              // range not representable as long
            while (r < origin || r >= bound)
              r = nextLong();
          }
          return r;
        }

    Specified by:
      `longs` in interface `RandomGenerator`
    Parameters:
      `streamSize` - the number of values to generate
      `randomNumberOrigin` - the origin (inclusive) of each random value
      `randomNumberBound` - the bound (exclusive) of each random value
    Returns:
      a stream of pseudorandom `long` values, each with the given origin (inclusive) and bound (exclusive)
    Throws:
      `IllegalArgumentException` - if `streamSize` is less than zero, or `randomNumberOrigin` is greater than or equal to `randomNumberBound`
    Since:
      1.8

  - ### longs

    public LongStream longs(long randomNumberOrigin, long randomNumberBound)
    Returns an effectively unlimited stream of pseudorandom `long` values, each conforming to the given origin (inclusive) and bound (exclusive).

    A pseudorandom `long` value is generated as if it's the result of calling the following method with the origin and bound:

        long nextLong(long origin, long bound) {
          long r = nextLong();
          long n = bound - origin, m = n - 1;
          if ((n & m) == 0L)  // power of two
            r = (r & m) + origin;
          else if (n > 0L) {  // reject over-represented candidates
            for (long u = r >>> 1;            // ensure nonnegative
                 u + m - (r = u % n) < 0L;    // rejection check
                 u = nextLong() >>> 1) // retry
                ;
            r += origin;
          }
          else {              // range not representable as long
            while (r < origin || r >= bound)
              r = nextLong();
          }
          return r;
        }

    Specified by:
      `longs` in interface `RandomGenerator`
    Implementation Note:
      This method is implemented to be equivalent to `longs(Long.MAX_VALUE, randomNumberOrigin, randomNumberBound)`.
    Parameters:
      `randomNumberOrigin` - the origin (inclusive) of each random value
      `randomNumberBound` - the bound (exclusive) of each random value
    Returns:
      a stream of pseudorandom `long` values, each with the given origin (inclusive) and bound (exclusive)
    Throws:
      `IllegalArgumentException` - if `randomNumberOrigin` is greater than or equal to `randomNumberBound`
    Since:
      1.8

  - ### doubles

    public DoubleStream doubles(long streamSize)
    Returns a stream producing the given `streamSize` number of pseudorandom `double` values, each between zero (inclusive) and one (exclusive).

    A pseudorandom `double` value is generated as if it's the result of calling the method `nextDouble()`.

    Specified by:
      `doubles` in interface `RandomGenerator`
    Parameters:
      `streamSize` - the number of values to generate
    Returns:
      a stream of `double` values
    Throws:
      `IllegalArgumentException` - if `streamSize` is less than zero
    Since:
      1.8

  - ### doubles

    public DoubleStream doubles()
    Returns an effectively unlimited stream of pseudorandom `double` values, each between zero (inclusive) and one (exclusive).

    A pseudorandom `double` value is generated as if it's the result of calling the method `nextDouble()`.

    Specified by:
      `doubles` in interface `RandomGenerator`
    Implementation Note:
      This method is implemented to be equivalent to `doubles(Long.MAX_VALUE)`.
    Returns:
      a stream of pseudorandom `double` values
    Since:
      1.8

  - ### doubles

    public DoubleStream doubles(long streamSize, double randomNumberOrigin, double randomNumberBound)
    Returns a stream producing the given `streamSize` number of pseudorandom `double` values, each conforming to the given origin (inclusive) and bound (exclusive).
    Specified by:
      `doubles` in interface `RandomGenerator`
    Parameters:
      `streamSize` - the number of values to generate
      `randomNumberOrigin` - the origin (inclusive) of each random value
      `randomNumberBound` - the bound (exclusive) of each random value
    Returns:
      a stream of pseudorandom `double` values, each with the given origin (inclusive) and bound (exclusive)
    Throws:
      `IllegalArgumentException` - if `streamSize` is less than zero, or `randomNumberOrigin` is not finite, or `randomNumberBound` is not finite, or `randomNumberOrigin` is greater than or equal to `randomNumberBound`
    Since:
      1.8

  - ### doubles

    public DoubleStream doubles(double randomNumberOrigin, double randomNumberBound)
    Returns an effectively unlimited stream of pseudorandom `double` values, each conforming to the given origin (inclusive) and bound (exclusive).
    Specified by:
      `doubles` in interface `RandomGenerator`
    Implementation Note:
      This method is implemented to be equivalent to `doubles(Long.MAX_VALUE, randomNumberOrigin, randomNumberBound)`.
    Parameters:
      `randomNumberOrigin` - the origin (inclusive) of each random value
      `randomNumberBound` - the bound (exclusive) of each random value
    Returns:
      a stream of pseudorandom `double` values, each with the given origin (inclusive) and bound (exclusive)
    Throws:
      `IllegalArgumentException` - if `randomNumberOrigin` is not finite, or `randomNumberBound` is not finite, or `randomNumberOrigin` is greater than or equal to `randomNumberBound`
    Since:
      1.8