/* Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Copyright (C) 2004-2008 Tord Romstad (Glaurung author) Copyright (C) 2008-2014 Marco Costalba, Joona Kiiski, Tord Romstad Stockfish is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Stockfish is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . This file is based on original code by Heinz van Saanen and is available under the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. */ #ifndef RKISS_H_INCLUDED #define RKISS_H_INCLUDED #include "types.h" /// RKISS is our pseudo random number generator (PRNG) used to compute hash keys. /// George Marsaglia invented the RNG-Kiss-family in the early 90's. This is a /// specific version that Heinz van Saanen derived from some public domain code /// by Bob Jenkins. Following the feature list, as tested by Heinz. /// /// - Quite platform independent /// - Passes ALL dieharder tests! Here *nix sys-rand() e.g. fails miserably:-) /// - ~12 times faster than my *nix sys-rand() /// - ~4 times faster than SSE2-version of Mersenne twister /// - Average cycle length: ~2^126 /// - 64 bit seed /// - Return doubles with a full 53 bit mantissa /// - Thread safe class RKISS { uint64_t a, b, c, d; uint64_t rotate_L(uint64_t x, unsigned k) const { return (x << k) | (x >> (64 - k)); } uint64_t rand64() { const uint64_t e = a - rotate_L(b, 7); a = b ^ rotate_L(c, 13); b = c + rotate_L(d, 37); c = d + e; return d = e + a; } public: RKISS(int seed = 73) { a = 0xF1EA5EED, b = c = d = 0xD4E12C77; for (int i = 0; i < seed; ++i) // Scramble a few rounds rand64(); } template T rand() { return T(rand64()); } /// Special generator used to fast init magic numbers. Here the /// trick is to rotate the randoms of a given quantity 's' known /// to be optimal to quickly find a good magic candidate. template T magic_rand(int s) { return rotate_L(rotate_L(rand(), (s >> 0) & 0x3F) & rand() , (s >> 6) & 0x3F) & rand(); } }; #endif // #ifndef RKISS_H_INCLUDED