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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.source32;
import org.apache.commons.rng.JumpableUniformRandomProvider;
import org.apache.commons.rng.LongJumpableUniformRandomProvider;
import org.apache.commons.rng.UniformRandomProvider;
import org.apache.commons.rng.core.util.NumberFactory;
/**
* This abstract class is a base for algorithms from the Xor-Shift-Rotate family of 32-bit
* generators with 128-bits of state.
*
* @see <a href="http://xoshiro.di.unimi.it/">xorshiro / xoroshiro generators</a>
* @since 1.3
*/
abstract class AbstractXoShiRo128 extends IntProvider implements LongJumpableUniformRandomProvider {
/** Size of the state vector. */
private static final int SEED_SIZE = 4;
/** The coefficients for the jump function. */
private static final int[] JUMP_COEFFICIENTS = {
0x8764000b, 0xf542d2d3, 0x6fa035c3, 0x77f2db5b
};
/** The coefficients for the long jump function. */
private static final int[] LONG_JUMP_COEFFICIENTS = {
0xb523952e, 0x0b6f099f, 0xccf5a0ef, 0x1c580662
};
// State is maintained using variables rather than an array for performance
/** State 0 of the generator. */
protected int state0;
/** State 1 of the generator. */
protected int state1;
/** State 2 of the generator. */
protected int state2;
/** State 3 of the generator. */
protected int state3;
/**
* Creates a new instance.
*
* @param seed Initial seed.
* If the length is larger than 4, only the first 4 elements will
* be used; if smaller, the remaining elements will be automatically
* set. A seed containing all zeros will create a non-functional generator.
*/
AbstractXoShiRo128(int[] seed) {
if (seed.length < SEED_SIZE) {
final int[] state = new int[SEED_SIZE];
fillState(state, seed);
setState(state);
} else {
setState(seed);
}
}
/**
* Creates a new instance using a 4 element seed.
* A seed containing all zeros will create a non-functional generator.
*
* @param seed0 Initial seed element 0.
* @param seed1 Initial seed element 1.
* @param seed2 Initial seed element 2.
* @param seed3 Initial seed element 3.
*/
AbstractXoShiRo128(int seed0, int seed1, int seed2, int seed3) {
state0 = seed0;
state1 = seed1;
state2 = seed2;
state3 = seed3;
}
/**
* Creates a copy instance.
*
* @param source Source to copy.
*/
protected AbstractXoShiRo128(AbstractXoShiRo128 source) {
super(source);
state0 = source.state0;
state1 = source.state1;
state2 = source.state2;
state3 = source.state3;
}
/**
* Copies the state from the array into the generator state.
*
* @param state the new state
*/
private void setState(int[] state) {
state0 = state[0];
state1 = state[1];
state2 = state[2];
state3 = state[3];
}
/** {@inheritDoc} */
@Override
protected byte[] getStateInternal() {
return composeStateInternal(NumberFactory.makeByteArray(
new int[] {state0, state1, state2, state3}),
super.getStateInternal());
}
/** {@inheritDoc} */
@Override
protected void setStateInternal(byte[] s) {
final byte[][] c = splitStateInternal(s, SEED_SIZE * 4);
setState(NumberFactory.makeIntArray(c[0]));
super.setStateInternal(c[1]);
}
/** {@inheritDoc} */
@Override
public int next() {
final int result = nextOutput();
final int t = state1 << 9;
state2 ^= state0;
state3 ^= state1;
state1 ^= state2;
state0 ^= state3;
state2 ^= t;
state3 = Integer.rotateLeft(state3, 11);
return result;
}
/**
* Use the current state to compute the next output from the generator.
* The output function shall vary with respect to different generators.
* This method is called from {@link #next()} before the current state is updated.
*
* @return the next output
*/
protected abstract int nextOutput();
/**
* {@inheritDoc}
*
* <p>The jump size is the equivalent of 2<sup>64</sup>
* calls to {@link UniformRandomProvider#nextInt() nextInt()}. It can provide
* up to 2<sup>64</sup> non-overlapping subsequences.</p>
*/
@Override
public UniformRandomProvider jump() {
final UniformRandomProvider copy = copy();
performJump(JUMP_COEFFICIENTS);
return copy;
}
/**
* {@inheritDoc}
*
* <p>The jump size is the equivalent of 2<sup>96</sup> calls to
* {@link UniformRandomProvider#nextLong() nextLong()}. It can provide up to
* 2<sup>32</sup> non-overlapping subsequences of length 2<sup>96</sup>; each
* subsequence can provide up to 2<sup>32</sup> non-overlapping subsequences of
* length 2<sup>64</sup>using the {@link #jump()} method.</p>
*/
@Override
public JumpableUniformRandomProvider longJump() {
final JumpableUniformRandomProvider copy = copy();
performJump(LONG_JUMP_COEFFICIENTS);
return copy;
}
/**
* Create a copy.
*
* @return the copy
*/
protected abstract AbstractXoShiRo128 copy();
/**
* Perform the jump to advance the generator state. Resets the cached state of the generator.
*
* @param jumpCoefficients Jump coefficients.
*/
private void performJump(int[] jumpCoefficients) {
int s0 = 0;
int s1 = 0;
int s2 = 0;
int s3 = 0;
for (final int jc : jumpCoefficients) {
for (int b = 0; b < 32; b++) {
if ((jc & (1 << b)) != 0) {
s0 ^= state0;
s1 ^= state1;
s2 ^= state2;
s3 ^= state3;
}
next();
}
}
state0 = s0;
state1 = s1;
state2 = s2;
state3 = s3;
resetCachedState();
}
}