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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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