Class XoShiRo256PlusPlusRandom

    • Constructor Detail

      • XoShiRo256PlusPlusRandom

        public XoShiRo256PlusPlusRandom()
        Creates a new generator seeded using Util.randomSeed().
      • XoShiRo256PlusPlusRandom

        public XoShiRo256PlusPlusRandom​(long seed)
        Creates a new generator using a given seed.
        Parameters:
        seed - a seed for the generator.
    • Method Detail

      • nextLong

        public long nextLong()
        Overrides:
        nextLong in class Random
      • nextInt

        public int nextInt()
        Overrides:
        nextInt in class Random
      • nextInt

        public int nextInt​(int n)
        Overrides:
        nextInt in class Random
      • nextLong

        public long nextLong​(long n)
        Returns a pseudorandom uniformly distributed long value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. The algorithm used to generate the value guarantees that the result is uniform, provided that the sequence of 64-bit values produced by this generator is.
        Parameters:
        n - the positive bound on the random number to be returned.
        Returns:
        the next pseudorandom long value between 0 (inclusive) and n (exclusive).
      • nextDouble

        public double nextDouble()
        Overrides:
        nextDouble in class Random
      • nextDoubleFast

        public double nextDoubleFast()
        Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence, using a fast multiplication-free method which, however, can provide only 52 significant bits.

        This method is faster than nextDouble(), but it can return only dyadic rationals of the form k / 2−52, instead of the standard k / 2−53. Before version 2.4.1, this was actually the standard implementation of nextDouble(), so you can use this method if you need to reproduce exactly results obtained using previous versions.

        The only difference between the output of this method and that of nextDouble() is an additional least significant bit set in half of the returned values. For most applications, this difference is negligible.

        Returns:
        the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence, using 52 significant bits only.
      • nextFloat

        public float nextFloat()
        Overrides:
        nextFloat in class Random
      • nextBoolean

        public boolean nextBoolean()
        Overrides:
        nextBoolean in class Random
      • nextBytes

        public void nextBytes​(byte[] bytes)
        Overrides:
        nextBytes in class Random
      • jump

        public XoShiRo256PlusPlusRandom jump()
        The jump function for this generator. It is equivalent to 2128 calls to nextLong(); it can be used to generate 2128 non-overlapping subsequences for parallel computations.
        Returns:
        this generator.
        See Also:
        #copy()
      • longJump

        public XoShiRo256PlusPlusRandom longJump()
        The long-jump function for this generator. It is equivalent to 2192 calls to nextLong(); it can be used to generate 264 starting points, from each of which jump() will generate 264 non-overlapping subsequences for parallel distributed computations.
        Returns:
        this generator.
        See Also:
        #copy()
      • split

        public XoShiRo256PlusPlusRandom split()
        Returns a new instance that shares no mutable state with this instance. The sequence generated by the new instance depends deterministically from the state of this instance, but the probability that the sequence generated by this instance and by the new instance overlap is negligible.
        Returns:
        the new instance.
      • setSeed

        public void setSeed​(long seed)
        Sets the seed of this generator.

        The argument will be used to seed a SplitMix64RandomGenerator, whose output will in turn be used to seed this generator. This approach makes “warmup” unnecessary, and makes the probability of starting from a state with a large fraction of bits set to zero astronomically small.

        Overrides:
        setSeed in class Random
        Parameters:
        seed - a seed for this generator.
      • setState

        public void setState​(long[] state)
        Sets the state of this generator.

        The internal state of the generator will be reset, and the state array filled with the provided array.

        Parameters:
        state - an array of 2 longs; at least one must be nonzero.
      • main

        public static void main​(String[] arg)