src/java.base/share/classes/java/util/random/Xoroshiro128StarStar.java
branchJDK-8193209-branch
changeset 57437 f02ffcb61dce
parent 57436 b0c958c0e6c6
child 57547 56cbdc3ea079
--- a/src/java.base/share/classes/java/util/random/Xoroshiro128StarStar.java	Thu Jun 27 18:02:51 2019 -0300
+++ b/src/java.base/share/classes/java/util/random/Xoroshiro128StarStar.java	Thu Jun 27 18:30:27 2019 -0300
@@ -22,7 +22,8 @@
  * or visit www.oracle.com if you need additional information or have any
  * questions.
  */
-package java.util;
+
+package java.util.random;
 
 import java.math.BigInteger;
 import java.util.concurrent.atomic.AtomicLong;
@@ -30,30 +31,30 @@
 /**
  * A generator of uniform pseudorandom values applicable for use in
  * (among other contexts) isolated parallel computations that may
- * generate subtasks.  Class {@code Xoroshiro128StarStar} implements
- * interfaces {@link java.util.Rng} and {@link java.util.LeapableRng},
+ * generate subtasks.  Class {@link Xoroshiro128StarStar} implements
+ * interfaces {@link RandomNumberGenerator} and {@link LeapableRNG},
  * 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 {@code Xoroshiro128StarStar} objects
+ * as well as creating new {@link Xoroshiro128StarStar} objects
  * by "jumping" or "leaping".
- *
- * <p>Series of generated values pass the TestU01 BigCrush and PractRand test suites
+ * <p>
+ * Series of generated values pass the TestU01 BigCrush and PractRand test suites
  * that measure independence and uniformity properties of random number generators.
- *
- * <p>The class {@code Xoroshiro128StarStar} uses the {@code xoroshiro128} algorithm,
+ * <p>
+ * The class {@link Xoroshiro128StarStar} uses the {@code xoroshiro128} algorithm,
  * version 1.0 (parameters 24, 16, 37), with the "**" scrambler (a mixing function).
  * Its state consists of two {@code long} fields {@code x0} and {@code x1},
  * which can take on any values provided that they are not both zero.
  * The period of this generator is 2<sup>128</sup>-1.
- *
- * <p>The 64-bit values produced by the {@code nextLong()} method are equidistributed.
+ * <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>128</sup>-1,
  * each nonzero {@code long} value is generated 2<sup>64</sup> times,
  * but the value 0 is generated only 2<sup>64</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 2-equidistributed.
+ * <p>
+ * In fact, the 64-bit values produced by the {@code nextLong()} method are 2-equidistributed.
  * To be precise: consider the (overlapping) length-2 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>128</sup>-1 such subsequences, and each subsequence,
@@ -64,25 +65,23 @@
  * methods are likewise 2-equidistributed, but note that that the subsequence (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 {@code Xoroshiro128StarStar} are <em>not</em> thread-safe.
+ * <p>
+ * Instances {@link Xoroshiro128StarStar} 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 {@code Xoroshiro128StarStar} that traverse
+ * can be used to construct new instances of {@link Xoroshiro128StarStar} that traverse
  * other parts of the state cycle.
- *
- * <p>Instances of {@code Xoroshiro128StarStar} are not cryptographically
+ * <p>
+ * Instances of {@link Xoroshiro128StarStar} 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
- * @author  Doug Lea
- * @since   1.8
+ * @since 14
  */
-public final class Xoroshiro128StarStar implements LeapableRng {
+public final class Xoroshiro128StarStar implements LeapableRNG {
 
     /*
      * Implementation Overview.
@@ -115,7 +114,7 @@
      *
      * File organization: First the non-public methods that constitute the
      * main algorithm, then the public methods.  Note that many methods are
-     * defined by classes {@code AbstractJumpableRng} and {@code AbstractRng}.
+     * defined by classes {@link AbstractJumpableRNG} and {@link AbstractRNG}.
      */
 
     /* ---------------- static fields ---------------- */
@@ -123,13 +122,13 @@
     /**
      * The seed generator for default constructors.
      */
-    private static final AtomicLong defaultGen = new AtomicLong(RngSupport.initialSeed());
+    private static final AtomicLong DEFAULT_GEN = new AtomicLong(RNGSupport.initialSeed());
 
     /*
      * The period of this generator, which is 2**128 - 1.
      */
-    private static final BigInteger thePeriod =
-	BigInteger.ONE.shiftLeft(128).subtract(BigInteger.ONE);
+    private static final BigInteger PERIOD =
+        BigInteger.ONE.shiftLeft(128).subtract(BigInteger.ONE);
 
     /* ---------------- instance fields ---------------- */
 
@@ -150,92 +149,91 @@
      * @param x1 second word of the initial state
     */
     public Xoroshiro128StarStar(long x0, long x1) {
-	this.x0 = x0;
+        this.x0 = x0;
         this.x1 = x1;
-	// If x0 and x1 are both zero, we must choose nonzero values.
+        // If x0 and x1 are both zero, we must choose nonzero values.
         if ((x0 | x1) == 0) {
-	    // At least one of the two values generated here will be nonzero.
-	    this.x0 = RngSupport.mixStafford13(x0 += RngSupport.GOLDEN_RATIO_64);
-	    this.x1 = (x0 += RngSupport.GOLDEN_RATIO_64);
-	}
+            // At least one of the two values generated here will be nonzero.
+            this.x0 = RNGSupport.mixStafford13(x0 += RNGSupport.GOLDEN_RATIO_64);
+            this.x1 = (x0 += RNGSupport.GOLDEN_RATIO_64);
+        }
     }
 
     /**
-     * Creates a new instance of {@code Xoroshiro128StarStar} using the
+     * Creates a new instance of {@link Xoroshiro128StarStar} using the
      * specified {@code long} value as the initial seed. Instances of
-     * {@code Xoroshiro128StarStar} created with the same seed in the same
+     * {@link Xoroshiro128StarStar} created with the same seed in the same
      * program generate identical sequences of values.
      *
      * @param seed the initial seed
      */
     public Xoroshiro128StarStar(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));
+        // 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));
     }
 
     /**
-     * Creates a new instance of {@code Xoroshiro128StarStar} that is likely to
+     * Creates a new instance of {@link Xoroshiro128StarStar} 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 Xoroshiro128StarStar() {
-	// Using GOLDEN_RATIO_64 here gives us a good Weyl sequence of values.
-        this(defaultGen.getAndAdd(RngSupport.GOLDEN_RATIO_64));
+        // Using GOLDEN_RATIO_64 here gives us a good Weyl sequence of values.
+        this(DEFAULT_GEN.getAndAdd(RNGSupport.GOLDEN_RATIO_64));
     }
 
     /**
-     * Creates a new instance of {@code Xoroshiro128StarStar} using the specified array of
-     * initial seed bytes. Instances of {@code Xoroshiro128StarStar} created with the same
+     * Creates a new instance of {@link Xoroshiro128StarStar} using the specified array of
+     * initial seed bytes. Instances of {@link Xoroshiro128StarStar} created with the same
      * seed array in the same program execution generate identical sequences of values.
      *
      * @param seed the initial seed
      */
     public Xoroshiro128StarStar(byte[] seed) {
-	// Convert the seed to 2 long values, which are not both zero.
-	long[] data = RngSupport.convertSeedBytesToLongs(seed, 2, 2);
-	long x0 = data[0], x1 = data[1];
+        // Convert the seed to 2 long values, which are not both zero.
+        long[] data = RNGSupport.convertSeedBytesToLongs(seed, 2, 2);
+        long x0 = data[0], x1 = data[1];
         this.x0 = x0;
         this.x1 = x1;
     }
-    
+
     /* ---------------- public methods ---------------- */
 
     public Xoroshiro128StarStar copy() { return new Xoroshiro128StarStar(x0, x1); }
 
-/*  
-
-To the extent possible under law, the author has dedicated all copyright
-and related and neighboring rights to this software to the public domain
-worldwide. This software is distributed without any warranty.
-
-See <http://creativecommons.org/publicdomain/zero/1.0/>. */
-
-/* This is the successor to xorshift128+. It is the fastest full-period
-   generator passing BigCrush without systematic failures, but due to the
-   relatively short period it is acceptable only for applications with a
-   mild amount of parallelism; otherwise, use a xorshift1024* generator.
+    /*
+     * To the extent possible under law, the author has dedicated all copyright and related and
+     * neighboring rights to this software to the public domain worldwide. This software is
+     * distributed without any warranty.
+     * <p>
+     * See <http://creativecommons.org/publicdomain/zero/1.0/>.
+     */
 
-   Beside passing BigCrush, this generator passes the PractRand test suite
-   up to (and included) 16TB, with the exception of binary rank tests,
-   which fail due to the lowest bit being an LFSR; all other bits pass all
-   tests. We suggest to use a sign test to extract a random Boolean value.
-   
-   Note that the generator uses a simulated rotate operation, which most C
-   compilers will turn into a single instruction. In Java, you can use
-   Long.rotateLeft(). In languages that do not make low-level rotation
-   instructions accessible xorshift128+ could be faster.
-
-   The state must be seeded so that it is not everywhere zero. If you have
-   a 64-bit seed, we suggest to seed a splitmix64 generator and use its
-   output to fill s. */
-
+    /*
+     * This is the successor to xorshift128+. It is the fastest full-period generator passing
+     * BigCrush without systematic failures, but due to the relatively short period it is acceptable
+     * only for applications with a mild amount of parallelism; otherwise, use a xorshift1024*
+     * generator.
+     * <p>
+     * Beside passing BigCrush, this generator passes the PractRand test suite up to (and included)
+     * 16TB, with the exception of binary rank tests, which fail due to the lowest bit being an
+     * LFSR; all other bits pass all tests. We suggest to use a sign test to extract a random
+     * Boolean value.
+     * <p>
+     * Note that the generator uses a simulated rotate operation, which most C compilers will turn
+     * into a single instruction. In Java, you can use Long.rotateLeft(). In languages that do not
+     * make low-level rotation instructions accessible xorshift128+ could be faster.
+     * <p>
+     * The state must be seeded so that it is not everywhere zero. If you have a 64-bit seed, we
+     * suggest to seed a splitmix64 generator and use its output to fill s.
+     */
 
     /**
      * Returns a pseudorandom {@code long} value.
@@ -243,52 +241,62 @@
      * @return a pseudorandom {@code long} value
      */
     public long nextLong() {
-	final long s0 = x0;
-	long s1 = x1;
-	final long z = s0;
+        final long s0 = x0;
+        long s1 = x1;
+        final long z = s0;
 
-	s1 ^= s0;
-	x0 = Long.rotateLeft(s0, 24) ^ s1 ^ (s1 << 16); // a, b
-	x1 = Long.rotateLeft(s1, 37); // c
-	
-	return Long.rotateLeft(z * 5, 7) * 9;  // "starstar" mixing function
+        s1 ^= s0;
+        x0 = Long.rotateLeft(s0, 24) ^ s1 ^ (s1 << 16); // a, b
+        x1 = Long.rotateLeft(s1, 37); // c
+
+        return Long.rotateLeft(z * 5, 7) * 9;  // "starstar" mixing function
     }
 
-    public BigInteger period() { return thePeriod; }
+    public BigInteger period() {
+        return PERIOD;
+    }
 
-    public double defaultJumpDistance() { return 0x1.0p64; }
+    public double defaultJumpDistance() {
+        return 0x1.0p64;
+    }
 
-    public double defaultLeapDistance() { return 0x1.0p96; }
+    public double defaultLeapDistance() {
+        return 0x1.0p96;
+    }
 
     private static final long[] JUMP_TABLE = { 0xdf900294d8f554a5L, 0x170865df4b3201fcL };
-    
+
     private static final long[] LEAP_TABLE = { 0xd2a98b26625eee7bL, 0xdddf9b1090aa7ac1L };
-   
-/* This is the jump function for the generator. It is equivalent
-   to 2**64 calls to nextLong(); it can be used to generate 2**64
-   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**96 calls to next(); it can be used to generate 2**32 starting points,
-   from each of which jump() will generate 2**32 non-overlapping
-   subsequences for parallel distributed computations. */
+    /**
+     * This is the jump function for the generator. It is equivalent to 2**64 calls to nextLong();
+     * it can be used to generate 2**64 non-overlapping subsequences for parallel computations.
+     */
+    public void jump() {
+        jumpAlgorithm(JUMP_TABLE);
+    }
 
-    public void leap() { jumpAlgorithm(LEAP_TABLE); }
+    /**
+     * This is the long-jump function for the generator. It is equivalent to 2**96 calls to next();
+     * it can be used to generate 2**32 starting points, from each of which jump() will generate
+     * 2**32 non-overlapping subsequences for parallel distributed computations.
+     */
+    public void leap() {
+        jumpAlgorithm(LEAP_TABLE);
+    }
 
     private void jumpAlgorithm(long[] table) {
-	long s0 = 0, s1 = 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;
-		}
-		nextLong();
-	    }
-	    x0 = s0;
-	    x1 = s1;
-	}
+        long s0 = 0, s1 = 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;
+                }
+                nextLong();
+            }
+            x0 = s0;
+            x1 = s1;
+        }
     }
 }