/* xf86drmRandom.c -- "Minimal Standard" PRNG Implementation * Created: Mon Apr 19 08:28:13 1999 by faith@precisioninsight.com * * Copyright 1999 Precision Insight, Inc., Cedar Park, Texas. * All Rights Reserved. * * Permission is hereby granted, free of charge, to any person obtaining a * copy of this software and associated documentation files (the "Software"), * to deal in the Software without restriction, including without limitation * the rights to use, copy, modify, merge, publish, distribute, sublicense, * and/or sell copies of the Software, and to permit persons to whom the * Software is furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice (including the next * paragraph) shall be included in all copies or substantial portions of the * Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL * PRECISION INSIGHT AND/OR ITS SUPPLIERS BE LIABLE FOR ANY CLAIM, DAMAGES OR * OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, * ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER * DEALINGS IN THE SOFTWARE. * * Authors: Rickard E. (Rik) Faith <faith@valinux.com> * * DESCRIPTION * * This file contains a simple, straightforward implementation of the Park * & Miller "Minimal Standard" PRNG [PM88, PMS93], which is a Lehmer * multiplicative linear congruential generator (MLCG) with a period of * 2^31-1. * * This implementation is intended to provide a reliable, portable PRNG * that is suitable for testing a hash table implementation and for * implementing skip lists. * * FUTURE ENHANCEMENTS * * If initial seeds are not selected randomly, two instances of the PRNG * can be correlated. [Knuth81, pp. 32-33] describes a shuffling technique * that can eliminate this problem. * * If PRNGs are used for simulation, the period of the current * implementation may be too short. [LE88] discusses methods of combining * MLCGs to produce much longer periods, and suggests some alternative * values for A and M. [LE90 and Sch92] also provide information on * long-period PRNGs. * * REFERENCES * * [Knuth81] Donald E. Knuth. The Art of Computer Programming. Volume 2: * Seminumerical Algorithms. Reading, Massachusetts: Addison-Wesley, 1981. * * [LE88] Pierre L'Ecuyer. "Efficient and Portable Combined Random Number * Generators". CACM 31(6), June 1988, pp. 742-774. * * [LE90] Pierre L'Ecuyer. "Random Numbers for Simulation". CACM 33(10, * October 1990, pp. 85-97. * * [PM88] Stephen K. Park and Keith W. Miller. "Random Number Generators: * Good Ones are Hard to Find". CACM 31(10), October 1988, pp. 1192-1201. * * [Sch92] Bruce Schneier. "Pseudo-Ransom Sequence Generator for 32-Bit * CPUs". Dr. Dobb's Journal 17(2), February 1992, pp. 34, 37-38, 40. * * [PMS93] Stephen K. Park, Keith W. Miller, and Paul K. Stockmeyer. In * "Technical Correspondence: Remarks on Choosing and Implementing Random * Number Generators". CACM 36(7), July 1993, pp. 105-110. * */ #include <stdio.h> #include <stdlib.h> #include "xf86drm.h" #include "xf86drmRandom.h" static void check_period(unsigned long seed) { unsigned long count = 0; unsigned long initial; void *state; state = drmRandomCreate(seed); initial = drmRandom(state); ++count; while (initial != drmRandom(state)) { if (!++count) break; } printf("With seed of %10lu, period = %10lu (0x%08lx)\n", seed, count, count); drmRandomDestroy(state); } int main(void) { RandomState *state; int i; int ret; unsigned long rand; state = drmRandomCreate(1); for (i = 0; i < 10000; i++) { rand = drmRandom(state); } ret = rand != state->check; printf("After 10000 iterations: %lu (%lu expected): %s\n", rand, state->check, ret ? "*INCORRECT*" : "CORRECT"); drmRandomDestroy(state); printf("Checking periods...\n"); check_period(1); check_period(2); check_period(31415926); return ret; }