package edu.berkeley.nlp.lm.util;
/**
* Taken/modified from
* http://d3s.mff.cuni.cz/~holub/sw/javamurmurhash/MurmurHash.java
*
*/
public final class MurmurHash
{
/**
* Generates 32 bit hash from byte array of the given length and seed.
*
* @param data
* int array to hash
* @param length
* length of the array to hash
* @param seed
* initial seed value
* @return 32 bit hash of the given array
*/
public static int hash32(final int[] data, int startPos, int endPos, int seed) {
// 'm' and 'r' are mixing constants generated offline.
// They're not really 'magic', they just happen to work well.
final int m = 0x5bd1e995;
final int r = 24;
final int length = endPos - startPos;
// Initialize the hash to a random value
int h = seed ^ length;
for (int i = startPos; i < endPos; i++) {
int k = data[i];
k *= m;
k ^= k >>> r;
k *= m;
h *= m;
h ^= k;
}
h ^= h >>> 13;
h *= m;
h ^= h >>> 15;
return h;
}
public static int hash32(final int[] data, int startPos, int endPos) {
return hash32(data, startPos, endPos, 0x9747b28c);
}
public static long hashOneLong(final long k_, final int seed) {
long k = k_;
final long m = 0xc6a4a7935bd1e995L;
final int r = 47;
long h = (seed & 0xffffffffl) ^ (1 * m);
k *= m;
k ^= k >>> r;
k *= m;
h ^= k;
h *= m;
h ^= h >>> r;
h *= m;
h ^= h >>> r;
return h;
}
public static long hashThreeLongs(final long k1, final long k2, final long k3) {
final int seed = 0x9747b28c;
final long m = 0xc6a4a7935bd1e995L;
final int r = 47;
long h = (seed & 0xffffffffl) ^ (1 * m);
for (int i = 0; i <= 2; ++i) {
long k = -1;
switch (i) {
case 0:
k = k1;
break;
case 1:
k = k2;
break;
case 2:
k = k3;
break;
default:
assert false;
}
k *= m;
k ^= k >>> r;
k *= m;
h ^= k;
h *= m;
}
h ^= h >>> r;
h *= m;
h ^= h >>> r;
return h;
}
}