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https://github.com/curioustorvald/Terrarum.git
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com.torvald → net.torvald
Former-commit-id: 375604da8a20a6ba7cd0a8d05a44add02b2d04f4 Former-commit-id: 287287c5920b07618174d7a7573f049d350ded66
This commit is contained in:
59
src/net/torvald/random/HQRNG.java
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59
src/net/torvald/random/HQRNG.java
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package net.torvald.random;
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import java.util.Random;
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//import java.util.concurrent.locks.*;
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/**
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* This class implements a better random number generator than the standard LCG that is implemented in java.util.Random.
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* It is based on <a href="http://www.amazon.com/gp/product/0521880688?ie=UTF8&tag=javamex-20&linkCode=as2&camp=1789&creative=9325&creativeASIN=0521880688">Numerical Recipes: The Art of Scientific Computing</a>,
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* and gives a good compromise between quality and speed. It is a combined generator: two XORShift generators are combined with an LCG and a multiply with carry generator.
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* (Without going into all the details here, notice the two blocks of three shifts each, which are the XORShifts; the first line which is the LCG, similar to the standard
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* Java Random algorithm, and the line between the two XORShifts, which is a multiply with carry generator.)
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* Note that this version is <b>not</b> thread-safe. In order to make it thread-safe, uncomment the lock-related lines. It is also <b>not</b> cryptographically secure, like the java.security.SecureRandom class.
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* @author Numerical Recipes
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*/
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public class HQRNG extends Random {
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//private Lock l = new ReentrantLock();
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private long u;
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private long v = 4101842887655102017L;
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private long w = 1;
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public HQRNG() {
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this(System.nanoTime());
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}
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public HQRNG(long seed) {
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//l.lock();
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u = seed ^ v;
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nextLong();
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v = u;
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nextLong();
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w = v;
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nextLong();
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//l.unlock();
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}
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public long nextLong() {
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// l.lock();
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try {
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u = u * 2862933555777941757L + 7046029254386353087L;
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v ^= v >>> 17;
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v ^= v << 31;
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v ^= v >>> 8;
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w = 4294957665L * (w & 0xffffffff) + (w >>> 32);
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long x = u ^ (u << 21);
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x ^= x >>> 35;
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x ^= x << 4;
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long ret = (x + v) ^ w;
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return ret;
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} finally {
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//l.unlock();
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}
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}
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protected int next(int bits) {
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return (int) (nextLong() >>> (64-bits));
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}
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}
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