📄 randommlcgp.nc
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/* * "Copyright (c) 2002-2005 The Regents of the University of California. * All rights reserved. * * Permission to use, copy, modify, and distribute this software and its * documentation for any purpose, without fee, and without written agreement is * hereby granted, provided that the above copyright notice, the following * two paragraphs and the author appear in all copies of this software. * * IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY FOR * DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT * OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF * CALIFORNIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE UNIVERSITY OF CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES, * INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY * AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS * ON AN "AS IS" BASIS, AND THE UNIVERSITY OF CALIFORNIA HAS NO OBLIGATION TO * PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS." *//** This code is a fast implementation of the Park-Miller Minimal Standard * Generator for pseudo-random numbers. It uses the 32 bit multiplicative * linear congruential generator, * * S' = (A x S) mod (2^31 - 1) * * for A = 16807. * * * @author Barbara Hohlt * @date March 1 2005 *//* * Modified for 32-bit math by Martin Leopold 27/2 2006 * Algorithm from: http://www.firstpr.com.au/dsp/rand31/ * NOTE: This RNG produces 31-bit pseudo random numbers! */module RandomMlcgP { provides interface Init; provides interface ParameterInit<uint16_t> as SeedInit; provides interface Random as Random;}implementation{ uint32_t seed; /* Initialize the seed from the ID of the node */ command error_t Init.init() { atomic seed = (uint32_t)(TOS_NODE_ID + 1); return SUCCESS; } /* Initialize with 16-bit seed */ command error_t SeedInit.init(uint16_t s) { atomic seed = (uint32_t)(s + 1); return SUCCESS; } /* Return the next 31 bit random number */ async command uint32_t Random.rand32() { uint32_t hi,lo; atomic { lo = 16807 * (seed & 0xFFFFu); hi = 16807 * (seed >> 16); lo += (hi & 0x7FFFu) << 16; lo += hi >> 15; if (lo > 0x7FFFFFFFul) lo -= 0x7FFFFFFFul; seed = (uint32_t) lo; } return seed; } /* Return low 16 bits of next 32 bit random number */ async command uint16_t Random.rand16() { return (uint16_t)call Random.rand32(); }#if 0 /* Return high 16 bits of 32 bit number */ inline uint16_t getHigh16(uint32_t num) { return num >> 16; }#endif}
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