src.it.unimi.dsi.util.XorShift64StarRandom Maven / Gradle / Ivy
package it.unimi.dsi.util;
/*
* DSI utilities
*
* Copyright (C) 2011-2017 Sebastiano Vigna
*
* This library is free software; you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published by the Free
* Software Foundation; either version 3 of the License, or (at your option)
* any later version.
*
* This library 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 Lesser General Public License
* for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this program; if not, see .
*
*/
import it.unimi.dsi.Util;
import it.unimi.dsi.fastutil.HashCommon;
import java.util.Random;
/** A fast, good-quality {@linkplain Random pseudorandom number generator}
* that combines George Marsaglia's Xorshift
* generators (described in “Xorshift RNGs”,
* Journal of Statistical Software, 8:1−6, 2003) with a multiplication.
*
* @deprecated Use {@link SplitMix64Random} instead.
*/
@Deprecated
public class XorShift64StarRandom extends Random {
private static final long serialVersionUID = 1L;
/** The internal state of the algorithm. */
private long x;
/** Creates a new generator seeded using {@link Util#randomSeed()}. */
public XorShift64StarRandom() {
this(Util.randomSeed());
}
/** Creates a new generator using a given seed.
*
* @param seed a nonzero seed for the generator (if zero, the generator will be seeded with {@link Long#MIN_VALUE}).
*/
public XorShift64StarRandom(final long seed) {
super(seed);
}
@Override
protected int next(int bits) {
return (int)(nextLong() & (1L << bits) - 1);
}
@Override
public long nextLong() {
x ^= x >>> 12;
x ^= x << 25;
return 2685821657736338717L * (x ^= (x >>> 27));
}
@Override
public int nextInt() {
return (int)nextLong();
}
/** Returns a pseudorandom, approximately uniformly distributed {@code int} value
* between 0 (inclusive) and the specified value (exclusive), drawn from
* this random number generator's sequence.
*
* The hedge “approximately” is due to the fact that to be always
* faster than ThreadLocalRandom
* we return
* the upper 63 bits of {@link #nextLong()} modulo {@code n} instead of using
* {@link Random}'s fancy algorithm (which {@link #nextLong(long)} uses though).
* This choice introduces a bias: the numbers from 0 to 263 mod {@code n}
* are slightly more likely than the other ones. In the worst case, “more likely”
* means 1.00000000023 times more likely, which is in practice undetectable (actually,
* due to the abysmally low quality of {@link Random}'s generator, the result is statistically
* better in any case than {@link Random#nextInt(int)}'s) .
*
*
If for some reason you need truly uniform generation, just use {@link #nextLong(long)}.
*
* @param n the positive bound on the random number to be returned.
* @return the next pseudorandom {@code int} value between {@code 0} (inclusive) and {@code n} (exclusive).
*/
@Override
public int nextInt(final int n) {
if (n <= 0) throw new IllegalArgumentException();
// No special provision for n power of two: all our bits are good.
return (int)((nextLong() >>> 1) % n);
}
/** Returns a pseudorandom uniformly distributed {@code 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.
*
* @param n the positive bound on the random number to be returned.
* @return the next pseudorandom {@code long} value between {@code 0} (inclusive) and {@code n} (exclusive).
*/
public long nextLong(final long n) {
if (n <= 0) throw new IllegalArgumentException();
// No special provision for n power of two: all our bits are good.
for(;;) {
final long bits = nextLong() >>> 1;
final long value = bits % n;
if (bits - value + (n - 1) >= 0) return value;
}
}
@Override
public double nextDouble() {
return (nextLong() >>> 11) * 0x1.0p-53;
}
@Override
public float nextFloat() {
return (nextLong() >>> 40) * 0x1.0p-24f;
}
@Override
public boolean nextBoolean() {
return nextLong() < 0;
}
@Override
public void nextBytes(final byte[] bytes) {
int i = bytes.length, n = 0;
while(i != 0) {
n = Math.min(i, 8);
for (long bits = nextLong(); n-- != 0; bits >>= 8) bytes[--i] = (byte)bits;
}
}
/** Sets the seed of this generator.
*
*
The seed will be passed through {@link HashCommon#murmurHash3(long)}. In this way, if the
* user passes a small value we will avoid the short irregular transient associated
* with states with a very small number of bits set.
*
* @param seed a nonzero seed for this generator (if zero, the generator will be seeded with {@link Long#MIN_VALUE}).
*/
@Override
public void setSeed(final long seed) {
x = HashCommon.murmurHash3(seed == 0 ? Long.MIN_VALUE : seed);
}
/** Sets the state of this generator.
*
* @param state the new state for this generator (must be nonzero).
*/
public void setState(final long state) {
x = (state == 0 ? -1 : state);
}
}