src/java.base/share/classes/java/util/random/Xoshiro256StarStar.java
branchJDK-8193209-branch
changeset 59088 da026c172c1e
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/src/java.base/share/classes/java/util/random/Xoshiro256StarStar.java	Thu Nov 14 12:50:08 2019 -0400
@@ -0,0 +1,308 @@
+/*
+ * Copyright (c) 2013, 2019, Oracle and/or its affiliates. All rights reserved.
+ * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
+ *
+ * This code is free software; you can redistribute it and/or modify it
+ * under the terms of the GNU General Public License version 2 only, as
+ * published by the Free Software Foundation.  Oracle designates this
+ * particular file as subject to the "Classpath" exception as provided
+ * by Oracle in the LICENSE file that accompanied this code.
+ *
+ * This code is distributed in the hope that it will be useful, but WITHOUT
+ * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+ * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+ * version 2 for more details (a copy is included in the LICENSE file that
+ * accompanied this code).
+ *
+ * You should have received a copy of the GNU General Public License version
+ * 2 along with this work; if not, write to the Free Software Foundation,
+ * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
+ *
+ * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
+ * or visit www.oracle.com if you need additional information or have any
+ * questions.
+ */
+
+package java.util.random;
+
+import java.math.BigInteger;
+import java.util.concurrent.atomic.AtomicLong;
+import java.util.random.RandomGenerator.LeapableGenerator;
+
+/**
+ * A generator of uniform pseudorandom values applicable for use in
+ * (among other contexts) isolated parallel computations that may
+ * generate subtasks.  Class {@link Xoshiro256StarStar} implements
+ * interfaces {@link RandomGenerator} and {@link LeapableGenerator},
+ * and therefore supports methods for producing pseudorandomly chosen
+ * numbers of type {@code int}, {@code long}, {@code float}, and {@code double}
+ * as well as creating new {@link Xoshiro256StarStar} objects
+ * by "jumping" or "leaping".
+ * <p>
+ * 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
+ * <a href="http://simul.iro.umontreal.ca/testu01/tu01.html">version 1.2.3 of TestU01</a>
+ * and <a href="http://pracrand.sourceforge.net">version 0.90 of PractRand</a>.
+ * 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.
+ * <p>
+ * The class {@link 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 2<sup>256</sup>-1.
+ * <p>
+ * The 64-bit values produced by the {@code nextLong()} method are equidistributed.
+ * To be precise, over the course of the cycle of length 2<sup>256</sup>-1,
+ * each nonzero {@code long} value is generated 2<sup>192</sup> times,
+ * but the value 0 is generated only 2<sup>192</sup>-1 times.
+ * The values produced by the {@code nextInt()}, {@code nextFloat()}, and {@code nextDouble()}
+ * methods are likewise equidistributed.
+ * <p>
+ * 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 2<sup>256</sup>-1 such subsequences, and each subsequence,
+ * which consists of 4 64-bit values, can have one of 2<sup>256</sup> values.  Of those
+ * 2<sup>256</sup> 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.
+ * <p>
+ * Instances {@link Xoshiro256StarStar} are <em>not</em> 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 {@link Xoshiro256StarStar} that traverse
+ * other parts of the state cycle.
+ * <p>
+ * Instances of {@link 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}.
+ *
+ * @since 14
+ */
+public final class Xoshiro256StarStar implements LeapableGenerator {
+
+    /*
+     * 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 DEFAULT_GEN = new AtomicLong(RandomSupport.initialSeed());
+
+    /*
+     * The period of this generator, which is 2**256 - 1.
+     */
+    private static final BigInteger PERIOD =
+        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 = RandomSupport.mixStafford13(x0 += RandomSupport.GOLDEN_RATIO_64);
+            this.x1 = (x0 += RandomSupport.GOLDEN_RATIO_64);
+            this.x2 = (x0 += RandomSupport.GOLDEN_RATIO_64);
+            this.x3 = (x0 += RandomSupport.GOLDEN_RATIO_64);
+        }
+    }
+
+    /**
+     * Creates a new instance of {@link Xoshiro256StarStar} using the
+     * specified {@code long} value as the initial seed. Instances of
+     * {@link 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(RandomSupport.mixStafford13(seed ^= RandomSupport.SILVER_RATIO_64),
+             RandomSupport.mixStafford13(seed += RandomSupport.GOLDEN_RATIO_64),
+             RandomSupport.mixStafford13(seed += RandomSupport.GOLDEN_RATIO_64),
+             RandomSupport.mixStafford13(seed + RandomSupport.GOLDEN_RATIO_64));
+    }
+
+    /**
+     * Creates a new instance of {@link 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(DEFAULT_GEN.getAndAdd(RandomSupport.GOLDEN_RATIO_64));
+    }
+
+    /**
+     * Creates a new instance of {@link Xoshiro256StarStar} using the specified array of
+     * initial seed bytes. Instances of {@link 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 = RandomSupport.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() {
+       // Compute the result based on current state information
+       // (this allows the computation to be overlapped with state update).
+       final long result = Long.rotateLeft(x0 * 5, 7) * 9;  // "starstar" mixing function
+       
+       long q0 = x0, q1 = x1, q2 = x2, q3 = x3;
+       {   // xoshiro256 1.0
+           long t = q1 << 17;
+           q2 ^= q0;
+           q3 ^= q1;
+           q1 ^= q2;
+           q0 ^= q3;
+           q2 ^= t;
+           q3 = Long.rotateLeft(q3, 45);
+       }
+        x0 = q0; x1 = q1; x2 = q2; x3 = q3;
+        return result;
+    }
+
+    public BigInteger period() {
+        return PERIOD;
+    }
+
+    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;
+        }
+    }
+
+}