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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.commons.rng.core.source64;
import java.util.Arrays;
import org.apache.commons.rng.JumpableUniformRandomProvider;
import org.apache.commons.rng.UniformRandomProvider;
import org.apache.commons.rng.core.util.NumberFactory;
/**
* A fast RNG implementing the {@code XorShift1024*} algorithm.
*
* <p>Note: This has been superseded by {@link XorShift1024StarPhi}. The sequences emitted
* by both generators are correlated.</p>
*
* @see <a href="http://xorshift.di.unimi.it/xorshift1024star.c">Original source code</a>
* @see <a href="https://en.wikipedia.org/wiki/Xorshift">Xorshift (Wikipedia)</a>
* @since 1.0
*/
public class XorShift1024Star extends LongProvider implements JumpableUniformRandomProvider {
/** Size of the state vector. */
private static final int SEED_SIZE = 16;
/** The coefficients for the jump function. */
private static final long[] JUMP_COEFFICIENTS = {
0x84242f96eca9c41dL, 0xa3c65b8776f96855L, 0x5b34a39f070b5837L, 0x4489affce4f31a1eL,
0x2ffeeb0a48316f40L, 0xdc2d9891fe68c022L, 0x3659132bb12fea70L, 0xaac17d8efa43cab8L,
0xc4cb815590989b13L, 0x5ee975283d71c93bL, 0x691548c86c1bd540L, 0x7910c41d10a1e6a5L,
0x0b5fc64563b3e2a8L, 0x047f7684e9fc949dL, 0xb99181f2d8f685caL, 0x284600e3f30e38c3L
};
/** State. */
private final long[] state = new long[SEED_SIZE];
/** The multiplier for the XorShift1024 algorithm. */
private final long multiplier;
/** Index in "state" array. */
private int index;
/**
* Creates a new instance.
*
* @param seed Initial seed.
* If the length is larger than 16, only the first 16 elements will
* be used; if smaller, the remaining elements will be automatically
* set. A seed containing all zeros will create a non-functional generator.
*/
public XorShift1024Star(long[] seed) {
this(seed, 1181783497276652981L);
}
/**
* Creates a new instance.
*
* @param seed Initial seed.
* If the length is larger than 16, only the first 16 elements will
* be used; if smaller, the remaining elements will be automatically
* set. A seed containing all zeros will create a non-functional generator.
* @param multiplier The multiplier for the XorShift1024 algorithm.
* @since 1.3
*/
protected XorShift1024Star(long[] seed, long multiplier) {
setSeedInternal(seed);
this.multiplier = multiplier;
}
/**
* Creates a copy instance.
*
* @param source Source to copy.
* @since 1.3
*/
protected XorShift1024Star(XorShift1024Star source) {
super(source);
System.arraycopy(source.state, 0, state, 0, SEED_SIZE);
multiplier = source.multiplier;
index = source.index;
}
/** {@inheritDoc} */
@Override
protected byte[] getStateInternal() {
final long[] s = Arrays.copyOf(state, SEED_SIZE + 1);
s[SEED_SIZE] = index;
return composeStateInternal(NumberFactory.makeByteArray(s),
super.getStateInternal());
}
/** {@inheritDoc} */
@Override
protected void setStateInternal(byte[] s) {
final byte[][] c = splitStateInternal(s, (SEED_SIZE + 1) * 8);
final long[] tmp = NumberFactory.makeLongArray(c[0]);
System.arraycopy(tmp, 0, state, 0, SEED_SIZE);
index = (int) tmp[SEED_SIZE];
super.setStateInternal(c[1]);
}
/**
* Seeds the RNG.
*
* @param seed Seed.
*/
private void setSeedInternal(long[] seed) {
// Reset the whole state of this RNG (i.e. "state" and "index").
// Filling procedure is not part of the reference code.
fillState(state, seed);
index = 0;
}
/** {@inheritDoc} */
@Override
public long next() {
final long s0 = state[index];
index = (index + 1) & 15;
long s1 = state[index];
s1 ^= s1 << 31; // a
state[index] = s1 ^ s0 ^ (s1 >>> 11) ^ (s0 >>> 30); // b,c
return state[index] * multiplier;
}
/**
* {@inheritDoc}
*
* <p>The jump size is the equivalent of 2<sup>512</sup>
* calls to {@link UniformRandomProvider#nextLong() nextLong()}. It can provide
* up to 2<sup>512</sup> non-overlapping subsequences.</p>
*
* @since 1.3
*/
@Override
public UniformRandomProvider jump() {
final UniformRandomProvider copy = copy();
performJump();
return copy;
}
/**
* Create a copy.
*
* @return the copy
* @since 1.3
*/
protected XorShift1024Star copy() {
// This exists to ensure the jump function returns
// the correct class type. It should not be public.
return new XorShift1024Star(this);
}
/**
* Perform the jump to advance the generator state. Resets the cached state of the generator.
*/
private void performJump() {
final long[] newState = new long[SEED_SIZE];
for (final long jc : JUMP_COEFFICIENTS) {
for (int b = 0; b < 64; b++) {
if ((jc & (1L << b)) != 0) {
for (int i = 0; i < SEED_SIZE; i++) {
newState[i] ^= state[(i + index) & 15];
}
}
next();
}
}
for (int j = 0; j < 16; j++) {
state[(j + index) & 15] = newState[j];
}
resetCachedState();
}
}