forked from Telodendria/Telodendria
Jordan Bancino
d933d12e1b
This implementation is loosely inspired by the original paper on the Mersenne Twister, and borrows code from a public-domain implementation of it, adapting it to fit the style of Telodendria's code, and fixing a few bugs regarding the size of the data type used. Neither C nor POSIX provide a good, thread-safe pseudorandom number generator. The OpenBSD linker started complaining about the use of rand_r(), and no standard alternative presented itself as worthy of consideration, so I finally decided it was time to roll my own PRNG.
157 lines
4.7 KiB
C
157 lines
4.7 KiB
C
/*
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* Copyright (C) 2022-2023 Jordan Bancino <@jordan:bancino.net>
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*
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* Permission is hereby granted, free of charge, to any person
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* obtaining a copy of this software and associated documentation files
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* (the "Software"), to deal in the Software without restriction,
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* including without limitation the rights to use, copy, modify, merge,
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* publish, distribute, sublicense, and/or sell copies of the Software,
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* and to permit persons to whom the Software is furnished to do so,
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* subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be
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* included in all copies or portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
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* BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
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* ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include <Rand.h>
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#include <Int.h>
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#include <Util.h>
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#include <stdlib.h>
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#include <pthread.h>
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#include <unistd.h>
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#define RAND_STATE_VECTOR_LENGTH 624
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#define RAND_STATE_VECTOR_M 397
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#define RAND_UPPER_MASK 0x80000000
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#define RAND_LOWER_MASK 0x7FFFFFFF
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#define RAND_TEMPER_B 0x9D2C5680
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#define RAND_TEMPER_C 0xEFC60000
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typedef struct RandState
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{
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UInt32 mt[RAND_STATE_VECTOR_LENGTH];
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int index;
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} RandState;
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static void
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RandSeed(RandState *state, UInt32 seed)
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{
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state->mt[0] = seed & 0xFFFFFFFF;
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for (state->index = 1; state->index < RAND_STATE_VECTOR_LENGTH; state->index++)
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{
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state->mt[state->index] = (6069 * state->mt[state->index - 1]) & 0xFFFFFFFF;
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}
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}
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static UInt32
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RandGenerate(RandState *state)
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{
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static const UInt32 mag[2] = { 0x0, 0x9908B0DF };
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UInt32 result;
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if (state->index >= RAND_STATE_VECTOR_LENGTH || state->index < 0)
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{
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int kk;
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if (state->index >= RAND_STATE_VECTOR_LENGTH + 1 || state->index < 0)
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{
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RandSeed(state, 4357);
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}
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for (kk = 0; kk < RAND_STATE_VECTOR_LENGTH - RAND_STATE_VECTOR_M; kk++)
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{
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result = (state->mt[kk] & RAND_UPPER_MASK) | (state->mt[kk + 1] & RAND_LOWER_MASK);
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state->mt[kk] = state->mt[kk + RAND_STATE_VECTOR_M] ^ (result >> 1) ^ mag[result & 0x1];
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}
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for (; kk < RAND_STATE_VECTOR_LENGTH - 1; kk++)
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{
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result = (state->mt[kk] & RAND_UPPER_MASK) | (state->mt[kk + 1] & RAND_LOWER_MASK);
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state->mt[kk] = state->mt[kk + (RAND_STATE_VECTOR_M - RAND_STATE_VECTOR_LENGTH)] ^ (result >> 1) ^ mag[result & 0x1];
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}
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result = (state->mt[RAND_STATE_VECTOR_LENGTH - 1] & RAND_UPPER_MASK) | (state->mt[0] & RAND_LOWER_MASK);
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state->mt[RAND_STATE_VECTOR_LENGTH - 1] = state->mt[RAND_STATE_VECTOR_M - 1] ^ (result >> 1) ^ mag[result & 0x1];
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state->index = 0;
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}
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result = state->mt[state->index++];
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result ^= (result >> 11);
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result ^= (result << 7) & RAND_TEMPER_B;
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result ^= (result << 15) & RAND_TEMPER_C;
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result ^= (result >> 18);
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return result;
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}
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/* Generate random numbers using rejection sampling. The basic idea is
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* to "reroll" if a number happens to be outside the range. However
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* this could be extremely inefficient.
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*
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* Another idea would just be to "reroll" if the generated number ends up
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* in the previously "biased" range, and THEN do a modulo.
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*
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* This would be far more efficient for small values of max, and fixes the
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* bias issue. */
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/* This algorithm therefore computes N random numbers generally in O(N)
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* time, while being less biased. */
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void
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RandIntN(int *buf, size_t size, unsigned int max)
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{
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static pthread_mutex_t stateLock = PTHREAD_MUTEX_INITIALIZER;
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static UInt32 seed = 0;
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static RandState state;
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/* Limit the range to banish all previously biased results */
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const int allowed = RAND_MAX - RAND_MAX % max;
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int tmp;
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size_t i;
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pthread_mutex_lock(&stateLock);
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if (!seed)
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{
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/* Generate a seed from the system time, PID, and TID */
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seed = UtilServerTs() ^ getpid() ^ (unsigned long) pthread_self();
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RandSeed(&state, seed);
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}
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/* Generate {size} random numbers. */
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for (i = 0; i < size; i++)
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{
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/* Most of the time, this will take about 1 loop */
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do
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{
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tmp = RandGenerate(&state);
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} while (tmp > allowed);
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buf[i] = tmp % max;
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}
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pthread_mutex_unlock(&stateLock);
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}
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/* Generate just 1 random number */
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int
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RandInt(unsigned int max)
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{
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int val = 0;
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RandIntN(&val, 1, max);
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return val;
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}
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