Series of generated values pass the TestU01 BigCrush and PractRand test suites + * that measure independence and uniformity properties of random number generators. + * (Most recently validated with + * version 1.2.3 of TestU01 + * and version 0.90 of PractRand. + * Note that TestU01 BigCrush was used to test not only values produced by the {@code nextLong()} + * method but also the result of bit-reversing each value produced by {@code nextLong()}.) + * These tests validate only the methods for certain + * types and ranges, but similar properties are expected to hold, at + * least approximately, for others as well. + * + *
The class {@code Xoshiro256StarStar} uses the {@code xoshiro256} algorithm, + * version 1.0 (parameters 17, 45), with the "**" scrambler (a mixing function). + * Its state consists of four {@code long} fields {@code x0}, {@code x1}, {@code x2}, + * and {@code x3}, which can take on any values provided that they are not all zero. + * The period of this generator is 2256-1. + * + *
The 64-bit values produced by the {@code nextLong()} method are equidistributed. + * To be precise, over the course of the cycle of length 2256-1, + * each nonzero {@code long} value is generated 2192 times, + * but the value 0 is generated only 2192-1 times. + * The values produced by the {@code nextInt()}, {@code nextFloat()}, and {@code nextDouble()} + * methods are likewise equidistributed. + * + *
In fact, the 64-bit values produced by the {@code nextLong()} method are 4-equidistributed. + * To be precise: consider the (overlapping) length-4 subsequences of the cycle of 64-bit + * values produced by {@code nextLong()} (assuming no other methods are called that would + * affect the state). There are 2256-1 such subsequences, and each subsequence, + * which consists of 4 64-bit values, can have one of 2256 values. Of those + * 2256 subsequence values, each one is generated exactly once over the course + * of the entire cycle, except that the subsequence (0, 0, 0, 0) never appears. + * The values produced by the {@code nextInt()}, {@code nextFloat()}, and {@code nextDouble()} + * methods are likewise 4-equidistributed, but note that that the subsequence (0, 0, 0, 0) + * can also appear (but occurring somewhat less frequently than all other subsequences), + * because the values produced by those methods have fewer than 64 randomly chosen bits. + * + *
Instances {@code Xoshiro256StarStar} are not thread-safe. + * They are designed to be used so that each thread as its own instance. + * The methods {@link #jump} and {@link #leap} and {@link #jumps} and {@link #leaps} + * can be used to construct new instances of {@code Xoshiro256StarStar} that traverse + * other parts of the state cycle. + * + *
Instances of {@code Xoshiro256StarStar} are not cryptographically + * secure. Consider instead using {@link java.security.SecureRandom} + * in security-sensitive applications. Additionally, + * default-constructed instances do not use a cryptographically random + * seed unless the {@linkplain System#getProperty system property} + * {@code java.util.secureRandomSeed} is set to {@code true}. + * + * @author Guy Steele + * @since 1.9 + */ +public final class Xoshiro256StarStar implements LeapableRng { + + /* + * Implementation Overview. + * + * This is an implementation of the xoroshiro128** algorithm written + * in 2018 by David Blackman and Sebastiano Vigna (vigna@acm.org). + * See http://xoshiro.di.unimi.it and these two papers: + * + * Sebastiano Vigna. 2016. An Experimental Exploration of Marsaglia's + * xorshift Generators, Scrambled. ACM Transactions on Mathematical + * Software 42, 4, Article 30 (June 2016), 23 pages. + * https://doi.org/10.1145/2845077 + * + * David Blackman and Sebastiano Vigna. 2018. Scrambled Linear + * Pseudorandom Number Generators. Computing Research Repository (CoRR). + * http://arxiv.org/abs/1805.01407 + * + * The jump operation moves the current generator forward by 2*128 + * steps; this has the same effect as calling nextLong() 2**128 + * times, but is much faster. Similarly, the leap operation moves + * the current generator forward by 2*192 steps; this has the same + * effect as calling nextLong() 2**192 times, but is much faster. + * The copy method may be used to make a copy of the current + * generator. Thus one may repeatedly and cumulatively copy and + * jump to produce a sequence of generators whose states are well + * spaced apart along the overall state cycle (indeed, the jumps() + * and leaps() methods each produce a stream of such generators). + * The generators can then be parceled out to other threads. + * + * File organization: First static fields, then instance + * fields, then constructors, then instance methods. + */ + + /* ---------------- static fields ---------------- */ + + /** + * The seed generator for default constructors. + */ + private static final AtomicLong defaultGen = new AtomicLong(RngSupport.initialSeed()); + + /* + * The period of this generator, which is 2**256 - 1. + */ + private static final BigInteger thePeriod = + BigInteger.ONE.shiftLeft(256).subtract(BigInteger.ONE); + + /* ---------------- instance fields ---------------- */ + + /** + * The per-instance state. + * At least one of the four fields x0, x1, x2, and x3 must be nonzero. + */ + private long x0, x1, x2, x3; + + /* ---------------- constructors ---------------- */ + + /** + * Basic constructor that initializes all fields from parameters. + * It then adjusts the field values if necessary to ensure that + * all constraints on the values of fields are met. + * + * @param x0 first word of the initial state + * @param x1 second word of the initial state + * @param x2 third word of the initial state + * @param x3 fourth word of the initial state + */ + public Xoshiro256StarStar(long x0, long x1, long x2, long x3) { + this.x0 = x0; + this.x1 = x1; + this.x2 = x2; + this.x3 = x3; + // If x0, x1, x2, and x3 are all zero, we must choose nonzero values. + if ((x0 | x1 | x2 | x3) == 0) { + // At least three of the four values generated here will be nonzero. + this.x0 = RngSupport.mixStafford13(x0 += RngSupport.GOLDEN_RATIO_64); + this.x1 = (x0 += RngSupport.GOLDEN_RATIO_64); + this.x2 = (x0 += RngSupport.GOLDEN_RATIO_64); + this.x3 = (x0 += RngSupport.GOLDEN_RATIO_64); + } + } + + /** + * Creates a new instance of {@code Xoshiro256StarStar} using the + * specified {@code long} value as the initial seed. Instances of + * {@code Xoshiro256StarStar} created with the same seed in the same + * program generate identical sequences of values. + * + * @param seed the initial seed + */ + public Xoshiro256StarStar(long seed) { + // Using a value with irregularly spaced 1-bits to xor the seed + // argument tends to improve "pedestrian" seeds such as 0 or + // other small integers. We may as well use SILVER_RATIO_64. + // + // The x values are then filled in as if by a SplitMix PRNG with + // GOLDEN_RATIO_64 as the gamma value and Stafford13 as the mixer. + this(RngSupport.mixStafford13(seed ^= RngSupport.SILVER_RATIO_64), + RngSupport.mixStafford13(seed += RngSupport.GOLDEN_RATIO_64), + RngSupport.mixStafford13(seed += RngSupport.GOLDEN_RATIO_64), + RngSupport.mixStafford13(seed + RngSupport.GOLDEN_RATIO_64)); + } + + /** + * Creates a new instance of {@code Xoshiro256StarStar} that is likely to + * generate sequences of values that are statistically independent + * of those of any other instances in the current program execution, + * but may, and typically does, vary across program invocations. + */ + public Xoshiro256StarStar() { + // Using GOLDEN_RATIO_64 here gives us a good Weyl sequence of values. + this(defaultGen.getAndAdd(RngSupport.GOLDEN_RATIO_64)); + } + + /** + * Creates a new instance of {@code Xoshiro256StarStar} using the specified array of + * initial seed bytes. Instances of {@code Xoshiro256StarStar} created with the same + * seed array in the same program execution generate identical sequences of values. + * + * @param seed the initial seed + */ + public Xoshiro256StarStar(byte[] seed) { + // Convert the seed to 4 long values, which are not all zero. + long[] data = RngSupport.convertSeedBytesToLongs(seed, 4, 4); + long x0 = data[0], x1 = data[1], x2 = data[2], x3 = data[3]; + this.x0 = x0; + this.x1 = x1; + this.x2 = x2; + this.x3 = x3; + } + + /* ---------------- public methods ---------------- */ + + public Xoshiro256StarStar copy() { return new Xoshiro256StarStar(x0, x1, x2, x3); } + + /** + * Returns a pseudorandom {@code long} value. + * + * @return a pseudorandom {@code long} value + */ + + public long nextLong() { + final long z = x0; + long q0 = x0, q1 = x1, q2 = x2, q3 = x3; + { long t = q1 << 17; q2 ^= q0; q3 ^= q1; q1 ^= q2; q0 ^= q3; q2 ^= t; q3 = Long.rotateLeft(q3, 45); } // xoshiro256 1.0 + x0 = q0; x1 = q1; x2 = q2; x3 = q3; + return Long.rotateLeft(z * 5, 7) * 9; // "starstar" mixing function + } + + public BigInteger period() { return thePeriod; } + + + public double defaultJumpDistance() { return 0x1.0p64; } + public double defaultLeapDistance() { return 0x1.0p96; } + + private static final long[] JUMP_TABLE = { + 0x180ec6d33cfd0abaL, 0xd5a61266f0c9392cL, 0xa9582618e03fc9aaL, 0x39abdc4529b1661cL }; + + private static final long[] LEAP_TABLE = { + 0x76e15d3efefdcbbfL, 0xc5004e441c522fb3L, 0x77710069854ee241L, 0x39109bb02acbe635L }; + +/* This is the jump function for the generator. It is equivalent + to 2**128 calls to next(); it can be used to generate 2**128 + non-overlapping subsequences for parallel computations. */ + + public void jump() { jumpAlgorithm(JUMP_TABLE); } + +/* This is the long-jump function for the generator. It is equivalent to + 2**192 calls to next(); it can be used to generate 2**64 starting points, + from each of which jump() will generate 2**64 non-overlapping + subsequences for parallel distributed computations. */ + + public void leap() { jumpAlgorithm(LEAP_TABLE); } + + private void jumpAlgorithm(long[] table) { + long s0 = 0, s1 = 0, s2 = 0, s3 = 0; + for (int i = 0; i < table.length; i++) { + for (int b = 0; b < 64; b++) { + if ((table[i] & (1L << b)) != 0) { + s0 ^= x0; + s1 ^= x1; + s2 ^= x2; + s3 ^= x3; + } + nextLong(); + } + x0 = s0; + x1 = s1; + x2 = s2; + x3 = s3; + } + } + +}