385 lines
10 KiB
C
385 lines
10 KiB
C
/* GLIB - Library of useful routines for C programming
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* Copyright (C) 1995-1997 Peter Mattis, Spencer Kimball and Josh MacDonald
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with this library; if not, see <http://www.gnu.org/licenses/>.
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*/
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/* Originally developed and coded by Makoto Matsumoto and Takuji
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* Nishimura. Please mail <matumoto@math.keio.ac.jp>, if you're using
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* code from this file in your own programs or libraries.
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* Further information on the Mersenne Twister can be found at
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* http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html
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* This code was adapted to glib by Sebastian Wilhelmi.
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*/
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/*
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* Modified by the GLib Team and others 1997-2000. See the AUTHORS
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* file for a list of people on the GLib Team. See the ChangeLog
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* files for a list of changes. These files are distributed with
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* GLib at ftp://ftp.gtk.org/pub/gtk/.
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*/
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/*
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* MT safe
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*/
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#define _CRT_RAND_S
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#include <math.h>
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#include <errno.h>
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#include <stdio.h>
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#include <string.h>
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#include <sys/types.h>
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#ifndef _MSC_VER
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#include <unistd.h>
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#include <sys/time.h>
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#else
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#include <windows.h>
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#endif
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#include "grand.h"
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#include "gmem.h"
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#include "gmessages.h"
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#define G_USEC_PER_SEC 1000000
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#if defined(__MINGW64_VERSION_MAJOR) || defined(_WIN32)
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errno_t rand_s(unsigned int* randomValue);
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#endif
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#define G_GINT64_CONSTANT(val) (val##L)
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/* Period parameters */
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#define N 624
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#define M 397
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#define MATRIX_A 0x9908b0df /* constant vector a */
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#define UPPER_MASK 0x80000000 /* most significant w-r bits */
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#define LOWER_MASK 0x7fffffff /* least significant r bits */
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/* Tempering parameters */
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#define TEMPERING_MASK_B 0x9d2c5680
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#define TEMPERING_MASK_C 0xefc60000
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#define TEMPERING_SHIFT_U(y) (y >> 11)
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#define TEMPERING_SHIFT_S(y) (y << 7)
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#define TEMPERING_SHIFT_T(y) (y << 15)
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#define TEMPERING_SHIFT_L(y) (y >> 18)
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struct _GRand
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{
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guint32 mt[N]; /* the array for the state vector */
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guint mti;
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};
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static guint get_random_version (void)
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{
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static gsize initialized = FALSE;
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static guint random_version;
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if (!initialized)
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{
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// g_warning ("Unknown G_RANDOM_VERSION \"%s\". Using version 2.2.", version_string);
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random_version = 22;
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initialized = TRUE;
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}
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return random_version;
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}
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/**
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* g_rand_set_seed:
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* @rand_: a #GRand
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* @seed: a value to reinitialize the random number generator
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*
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* Sets the seed for the random number generator #GRand to @seed.
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*/
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void g_rand_set_seed (GRand *rand, guint32 seed)
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{
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g_return_if_fail (rand != NULL);
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switch (get_random_version ())
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{
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case 20:
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/* setting initial seeds to mt[N] using */
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/* the generator Line 25 of Table 1 in */
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/* [KNUTH 1981, The Art of Computer Programming */
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/* Vol. 2 (2nd Ed.), pp102] */
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if (seed == 0) /* This would make the PRNG produce only zeros */
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seed = 0x6b842128; /* Just set it to another number */
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rand->mt[0]= seed;
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for (rand->mti=1; rand->mti<N; rand->mti++)
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rand->mt[rand->mti] = (69069 * rand->mt[rand->mti-1]);
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break;
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case 22:
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/* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */
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/* In the previous version (see above), MSBs of the */
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/* seed affect only MSBs of the array mt[]. */
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rand->mt[0]= seed;
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for (rand->mti=1; rand->mti<N; rand->mti++)
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rand->mt[rand->mti] = 1812433253UL *
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(rand->mt[rand->mti-1] ^ (rand->mt[rand->mti-1] >> 30)) + rand->mti;
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break;
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default:
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// g_assert_not_reached ();
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break;
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}
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}
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/**
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* g_rand_new_with_seed:
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* @seed: a value to initialize the random number generator
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*
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* Creates a new random number generator initialized with @seed.
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*
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* Returns: the new #GRand
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**/
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GRand* g_rand_new_with_seed (guint32 seed)
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{
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GRand *rand = g_new0 (GRand, 1);
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g_rand_set_seed (rand, seed);
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return rand;
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}
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/**
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* g_rand_set_seed_array:
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* @rand_: a #GRand
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* @seed: array to initialize with
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* @seed_length: length of array
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*
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* Initializes the random number generator by an array of longs.
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* Array can be of arbitrary size, though only the first 624 values
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* are taken. This function is useful if you have many low entropy
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* seeds, or if you require more then 32 bits of actual entropy for
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* your application.
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*
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* Since: 2.4
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*/
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void g_rand_set_seed_array (GRand *rand, const guint32 *seed, guint seed_length)
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{
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guint i, j, k;
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g_return_if_fail (rand != NULL);
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g_return_if_fail (seed_length >= 1);
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g_rand_set_seed (rand, 19650218UL);
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i=1; j=0;
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k = (N>seed_length ? N : seed_length);
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for (; k; k--)
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{
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rand->mt[i] = (rand->mt[i] ^
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((rand->mt[i-1] ^ (rand->mt[i-1] >> 30)) * 1664525UL))
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+ seed[j] + j; /* non linear */
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rand->mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
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i++; j++;
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if (i>=N)
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{
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rand->mt[0] = rand->mt[N-1];
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i=1;
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}
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if (j>=seed_length)
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j=0;
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}
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for (k=N-1; k; k--)
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{
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rand->mt[i] = (rand->mt[i] ^
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((rand->mt[i-1] ^ (rand->mt[i-1] >> 30)) * 1566083941UL))
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- i; /* non linear */
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rand->mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
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i++;
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if (i>=N)
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{
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rand->mt[0] = rand->mt[N-1];
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i=1;
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}
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}
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rand->mt[0] = 0x80000000UL; /* MSB is 1; assuring non-zero initial array */
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}
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/**
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* g_rand_new_with_seed_array:
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* @seed: an array of seeds to initialize the random number generator
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* @seed_length: an array of seeds to initialize the random number
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* generator
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*
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* Creates a new random number generator initialized with @seed.
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*
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* Returns: the new #GRand
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*
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* Since: 2.4
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*/
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GRand *g_rand_new_with_seed_array (const guint32 *seed, guint seed_length)
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{
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GRand *rand = g_new0 (GRand, 1);
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g_rand_set_seed_array (rand, seed, seed_length);
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return rand;
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}
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gint64 g_get_real_time (void)
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{
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#if defined(unix) || defined(__unix__) || defined(__unix) || defined (__MINGW32__) || defined(__APPLE__)
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struct timeval r;
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/* this is required on alpha, there the timeval structs are ints
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* not longs and a cast only would fail horribly */
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gettimeofday (&r, NULL);
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return (((gint64) r.tv_sec) * 1000000) + r.tv_usec;
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#else
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FILETIME ft;
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guint64 time64;
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GetSystemTimeAsFileTime (&ft);
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memmove (&time64, &ft, sizeof (FILETIME));
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/* Convert from 100s of nanoseconds since 1601-01-01
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* to Unix epoch. This is Y2038 safe.
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*/
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time64 -= G_GINT64_CONSTANT (116444736000000000);
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time64 /= 10;
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return time64;
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#endif
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}
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/**
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* g_rand_new:
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*
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* Creates a new random number generator initialized with a seed taken
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* either from `/dev/urandom` (if existing) or from the current time
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* (as a fallback).
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*
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* On Windows, the seed is taken from rand_s().
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*
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* Returns: the new #GRand
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*/
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GRand *g_rand_new (void)
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{
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guint32 seed[4];
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#if defined(unix) || defined(__unix__) || defined(__unix) || defined(__APPLE__)
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static gboolean dev_urandom_exists = TRUE;
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if (dev_urandom_exists)
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{
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FILE* dev_urandom;
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do
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{
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dev_urandom = fopen("/dev/urandom", "rb");
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}
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while (dev_urandom == NULL && errno == EINTR);
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if (dev_urandom)
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{
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int r;
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setvbuf (dev_urandom, NULL, _IONBF, 0);
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do
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{
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errno = 0;
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r = fread (seed, sizeof (seed), 1, dev_urandom);
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}
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while (errno == EINTR);
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if (r != 1)
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dev_urandom_exists = FALSE;
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fclose (dev_urandom);
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}
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else
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dev_urandom_exists = FALSE;
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}
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if (!dev_urandom_exists)
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{
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gint64 now_us = g_get_real_time ();
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seed[0] = now_us / G_USEC_PER_SEC;
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seed[1] = now_us % G_USEC_PER_SEC;
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seed[2] = getpid ();
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seed[3] = getppid ();
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}
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#else /* G_OS_WIN32 */
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/* rand_s() is only available since Visual Studio 2005 and
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* MinGW-w64 has a wrapper that will emulate rand_s() if it's not in msvcrt
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*/
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#if (defined(_MSC_VER) && _MSC_VER >= 1400) || defined(__MINGW64_VERSION_MAJOR)
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gint i;
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for (i = 0; i < 4;/* array size of seed */ i++) {
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rand_s(&seed[i]);
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}
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#else
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#warning Using insecure seed for random number generation because of missing rand_s() in Windows XP
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GTimeVal now;
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g_get_current_time (&now);
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seed[0] = now.tv_sec;
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seed[1] = now.tv_usec;
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seed[2] = getpid ();
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seed[3] = 0;
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#endif
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#endif
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return g_rand_new_with_seed_array (seed, 4);
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}
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/**
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* g_rand_int:
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* @rand_: a #GRand
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*
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* Returns the next random #guint32 from @rand_ equally distributed over
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* the range [0..2^32-1].
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*
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* Returns: a random number
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*/
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guint32 g_rand_int (GRand *rand)
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{
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guint32 y;
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static const guint32 mag01[2]={0x0, MATRIX_A};
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/* mag01[x] = x * MATRIX_A for x=0,1 */
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g_return_val_if_fail (rand != NULL, 0);
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if (rand->mti >= N) { /* generate N words at one time */
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int kk;
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for (kk = 0; kk < N - M; kk++) {
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y = (rand->mt[kk]&UPPER_MASK)|(rand->mt[kk+1]&LOWER_MASK);
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rand->mt[kk] = rand->mt[kk+M] ^ (y >> 1) ^ mag01[y & 0x1];
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}
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for (; kk < N - 1; kk++) {
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y = (rand->mt[kk]&UPPER_MASK)|(rand->mt[kk+1]&LOWER_MASK);
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rand->mt[kk] = rand->mt[kk+(M-N)] ^ (y >> 1) ^ mag01[y & 0x1];
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}
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y = (rand->mt[N-1]&UPPER_MASK)|(rand->mt[0]&LOWER_MASK);
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rand->mt[N-1] = rand->mt[M-1] ^ (y >> 1) ^ mag01[y & 0x1];
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rand->mti = 0;
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}
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y = rand->mt[rand->mti++];
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y ^= TEMPERING_SHIFT_U(y);
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y ^= TEMPERING_SHIFT_S(y) & TEMPERING_MASK_B;
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y ^= TEMPERING_SHIFT_T(y) & TEMPERING_MASK_C;
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y ^= TEMPERING_SHIFT_L(y);
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return y;
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}
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