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; } }