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Statistical distributions library (in statu nascendi)
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/*
* Copyright 2013 SPZ
*
* Licensed 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 math.rng;
/**
* 64-bit Xorshift pseudo random generator by George Marsaglia (2003).
*
* A faster and statistically better pseudo RNG than {@link java.util.Random} or
* {@link java.util.concurrent.ThreadLocalRandom}. This generator has a period
* of 264 − 1.
*/
public class MarsagliaXOR64 extends AbstractRng64 {
private static final MarsagliaXOR64 defaultRng = new MarsagliaXOR64();
private long seed;
public MarsagliaXOR64() {
long seed = 0L;
do {
seed = Seed.seed();
} while (seed == 0L);
this.seed = seed;
recover();
}
public MarsagliaXOR64(final long seed) {
this.seed = (seed == 0L) ? -1L : seed;
recover();
}
public MarsagliaXOR64(final long[] seed) {
MersenneTwister64 seeder = new MersenneTwister64(seed);
long seed_ = seeder.nextLong();
this.seed = (seed_ == 0L) ? -1L : seed_;
recover();
}
public final long nextLong() {
long x = seed;
x ^= (x << 21);
x ^= (x >>> 35);
x ^= (x << 4);
seed = x;
return x;
}
public static MarsagliaXOR64 getDefault() {
return defaultRng;
}
/*
* Protect against poor seeds.
*/
private void recover() {
long l = 0L;
for (int i = 0; i < 10; ++i) {
l = nextLong();
}
if (l == 0L) {
// this cannot happen
throw new AssertionError("0L");
}
}
}
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