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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); } }





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