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New files to implement the Mersenne Twister Pseudo Random Number
1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de> * grand.c, tests/rand-test.c: New files to implement the Mersenne Twister Pseudo Random Number Generator. * glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed accordingly.
This commit is contained in:
Sebastian Wilhelmi
Sebastian Wilhelmi
parent
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commit
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5
AUTHORS
5
AUTHORS
@ -23,3 +23,8 @@ Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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There are also many others who have contributed patches and fixes;
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we thank them, for helping us in advancing GLIB.
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The random number generator "Mersenne Twister", which is used by GLib,
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is developed and originally coded by:
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Makoto Matsumoto <matumoto@math.keio.ac.jp>
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Takuji Nishimura <nisimura@math.keio.ac.jp>
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@ -1,3 +1,11 @@
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1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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* grand.c, tests/rand-test.c: New files to implement the Mersenne
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Twister Pseudo Random Number Generator.
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* glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed
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accordingly.
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Thu Apr 8 21:12:30 CDT 1999 Shawn T. Amundson <amundson@gtk.org>
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* Released GLib 1.3.0
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@ -1,3 +1,11 @@
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1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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* grand.c, tests/rand-test.c: New files to implement the Mersenne
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Twister Pseudo Random Number Generator.
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* glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed
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accordingly.
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Thu Apr 8 21:12:30 CDT 1999 Shawn T. Amundson <amundson@gtk.org>
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* Released GLib 1.3.0
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@ -1,3 +1,11 @@
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1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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* grand.c, tests/rand-test.c: New files to implement the Mersenne
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Twister Pseudo Random Number Generator.
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* glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed
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accordingly.
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Thu Apr 8 21:12:30 CDT 1999 Shawn T. Amundson <amundson@gtk.org>
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* Released GLib 1.3.0
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@ -1,3 +1,11 @@
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1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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* grand.c, tests/rand-test.c: New files to implement the Mersenne
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Twister Pseudo Random Number Generator.
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* glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed
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accordingly.
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Thu Apr 8 21:12:30 CDT 1999 Shawn T. Amundson <amundson@gtk.org>
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* Released GLib 1.3.0
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@ -1,3 +1,11 @@
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1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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* grand.c, tests/rand-test.c: New files to implement the Mersenne
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Twister Pseudo Random Number Generator.
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* glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed
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accordingly.
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Thu Apr 8 21:12:30 CDT 1999 Shawn T. Amundson <amundson@gtk.org>
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* Released GLib 1.3.0
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@ -1,3 +1,11 @@
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1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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* grand.c, tests/rand-test.c: New files to implement the Mersenne
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Twister Pseudo Random Number Generator.
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* glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed
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accordingly.
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Thu Apr 8 21:12:30 CDT 1999 Shawn T. Amundson <amundson@gtk.org>
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* Released GLib 1.3.0
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@ -1,3 +1,11 @@
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1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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* grand.c, tests/rand-test.c: New files to implement the Mersenne
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Twister Pseudo Random Number Generator.
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* glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed
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accordingly.
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Thu Apr 8 21:12:30 CDT 1999 Shawn T. Amundson <amundson@gtk.org>
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* Released GLib 1.3.0
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@ -1,3 +1,11 @@
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1999-04-09 Sebastian Wilhelmi <wilhelmi@ira.uka.de>
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* grand.c, tests/rand-test.c: New files to implement the Mersenne
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Twister Pseudo Random Number Generator.
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* glib.h, AUTHORS, Makefile.am, tests/Makefile.am: Changed
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accordingly.
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Thu Apr 8 21:12:30 CDT 1999 Shawn T. Amundson <amundson@gtk.org>
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* Released GLib 1.3.0
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@ -44,6 +44,7 @@ libglib_la_SOURCES = \
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gprimes.c \
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gqueue.c \
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grel.c \
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grand.c \
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gscanner.c \
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gslist.c \
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gstack.c \
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43
glib.h
43
glib.h
@ -2369,6 +2369,49 @@ gpointer g_tuples_index (GTuples *tuples,
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gint field);
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/* GRand - a good and fast random number generator: Mersenne Twister
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* see http://www.math.keio.ac.jp/~matumoto/emt.html for more info.
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* The range functions return a value in the intervall [min,max).
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* int -> [0..2^32-1]
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* int_range -> [min..max-1]
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* double -> [0..1)
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* double_range -> [min..max)
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*/
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typedef struct _GRand GRand;
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GRand* g_rand_new_with_seed (guint32 seed);
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GRand* g_rand_new ();
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void g_rand_free (GRand *rand);
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void g_rand_set_seed (GRand *rand,
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guint32 seed);
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guint32 g_rand_int (GRand *rand);
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gint32 g_rand_int_range (GRand *rand,
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gint32 min,
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gint32 max);
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gdouble g_rand_double (GRand *rand);
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gdouble g_rand_double_range (GRand *rand,
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gdouble min,
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gdouble max);
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/* This might go in, if -lm is no problem for you guys
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gdouble g_rand_normal (GRand *rand,
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gdouble mean,
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gdouble standard_deviation);
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*/
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void g_random_set_seed (guint32 seed);
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guint32 g_random_int ();
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gint32 g_random_int_range (gint32 min,
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gint32 max);
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gdouble g_random_double ();
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gdouble g_random_double_range (gdouble min,
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gdouble max);
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/* dito
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gdouble g_random_normal (gdouble mean,
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gdouble standard_deviation);
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*/
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/* Prime numbers.
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*/
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@ -44,6 +44,7 @@ libglib_la_SOURCES = \
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gprimes.c \
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gqueue.c \
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grel.c \
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grand.c \
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gscanner.c \
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gslist.c \
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gstack.c \
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43
glib/glib.h
43
glib/glib.h
@ -2369,6 +2369,49 @@ gpointer g_tuples_index (GTuples *tuples,
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gint field);
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/* GRand - a good and fast random number generator: Mersenne Twister
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* see http://www.math.keio.ac.jp/~matumoto/emt.html for more info.
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* The range functions return a value in the intervall [min,max).
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* int -> [0..2^32-1]
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* int_range -> [min..max-1]
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* double -> [0..1)
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* double_range -> [min..max)
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*/
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typedef struct _GRand GRand;
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GRand* g_rand_new_with_seed (guint32 seed);
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GRand* g_rand_new ();
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void g_rand_free (GRand *rand);
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void g_rand_set_seed (GRand *rand,
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guint32 seed);
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guint32 g_rand_int (GRand *rand);
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gint32 g_rand_int_range (GRand *rand,
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gint32 min,
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gint32 max);
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gdouble g_rand_double (GRand *rand);
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gdouble g_rand_double_range (GRand *rand,
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gdouble min,
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gdouble max);
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/* This might go in, if -lm is no problem for you guys
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gdouble g_rand_normal (GRand *rand,
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gdouble mean,
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gdouble standard_deviation);
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*/
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void g_random_set_seed (guint32 seed);
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guint32 g_random_int ();
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gint32 g_random_int_range (gint32 min,
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gint32 max);
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gdouble g_random_double ();
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gdouble g_random_double_range (gdouble min,
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gdouble max);
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/* dito
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gdouble g_random_normal (gdouble mean,
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gdouble standard_deviation);
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*/
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/* Prime numbers.
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*/
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334
glib/grand.c
Normal file
334
glib/grand.c
Normal file
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/* 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 Library General Public
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* License as published by the Free Software Foundation; either
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* version 2 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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* Library General Public License for more details.
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*
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* You should have received a copy of the GNU Library General Public
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* License along with this library; if not, write to the
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* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
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* Boston, MA 02111-1307, USA.
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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.keio.ac.jp/~matumoto/emt.html
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*/
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/*
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* Modified by the GLib Team and others 1997-1999. 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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#include <glib.h>
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#include <math.h>
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#include <stdio.h>
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G_LOCK_DEFINE_STATIC (global_random);
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static GRand* global_random = NULL;
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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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gboolean have_next_normal;
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gdouble next_normal;
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};
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GRand*
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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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GRand*
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g_rand_new ()
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{
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guint32 seed = 0;
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GTimeVal now;
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FILE* dev_random = fopen("/dev/random", "rb");
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if (dev_random)
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{
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if (fread (&seed, sizeof (seed), 1, dev_random) != 1)
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seed = 0;
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fclose (dev_random);
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}
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/* Using /dev/random alone makes the seed computable for the
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outside. This might pose security problems somewhere. This should
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yield better values */
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g_get_current_time (&now);
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seed ^= now.tv_sec ^ now.tv_usec;
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return g_rand_new_with_seed (seed);
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}
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void
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g_rand_free (GRand* rand)
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{
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g_return_if_fail (rand);
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g_free (rand);
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}
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void
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g_rand_set_seed (GRand* rand, guint32 seed)
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{
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g_return_if_fail (rand);
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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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rand->mt[0]= seed & 0xffffffff;
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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]) & 0xffffffff;
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rand->have_next_normal = FALSE;
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}
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guint32
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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, 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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gint32
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g_rand_int_range (GRand* rand, gint32 min, gint32 max)
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{
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guint32 dist = max - min;
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guint32 random;
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g_return_val_if_fail (rand, min);
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g_return_val_if_fail (max > min, min);
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if (dist <= 0x10000L) /* 2^16 */
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{
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/* All tricks doing modulo calculations do not have a good
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distribution -> We must use this slower method for maximal
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quality, but this method is only good for (max - min) <= 2^16 */
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random = (gint32) g_rand_double_range (rand, 0, dist);
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/* we'd rather use the following, if -lm is allowed later on:
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random = (gint32) floor (g_rand_double_range (rand, 0, dist)); */
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}
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else
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{
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/* Now it's harder to make it right. We calculate the smallest m,
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such that dist < 2 ^ m, then we calculate a random number in
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[1..2^32-1] and rightshift it by 32 - m. Then we test, if it
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is smaller than dist and if not, get a new number and so
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forth until we get a number smaller than dist. We just return
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this. */
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guint32 border = 0x20000L; /* 2^17 */
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guint right_shift = 15; /* 32 - 17 */
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if (dist >= 0x80000000) /* in the case of dist > 2^31 our loop
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below will be infinite */
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{
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right_shift = 0;
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}
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else
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{
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while (dist >= border)
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{
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border <<= 1;
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right_shift--;
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}
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}
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do
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{
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random = g_rand_int (rand) >> right_shift;
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} while (random >= dist);
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}
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return min + random;
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}
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/* transform [0..2^32-1] -> [0..1) */
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#define G_RAND_DOUBLE_TRANSFORM 2.3283064365386963e-10
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gdouble
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g_rand_double (GRand* rand)
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{
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return g_rand_int (rand) * G_RAND_DOUBLE_TRANSFORM;
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}
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gdouble
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g_rand_double_range (GRand* rand, gdouble min, gdouble max)
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{
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return g_rand_int (rand) * ((max - min) * G_RAND_DOUBLE_TRANSFORM) + min;
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}
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#if WE_REALLY_WANT_HAVE_MATH_LIB_LINKED
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gdouble
|
||||
g_rand_normal (GRand* rand, gdouble mean, gdouble standard_deviation)
|
||||
{
|
||||
/* For a description of the used algorithm see Knuth: "The Art of
|
||||
Computer Programming", Vol.2, Second Edition, Page 117: Polar
|
||||
method for normal deviates due to Box, Muller, Marsaglia */
|
||||
gdouble normal;
|
||||
g_return_val_if_fail (rand, 0);
|
||||
|
||||
if (rand->have_next_normal)
|
||||
{
|
||||
rand->have_next_normal = FALSE;
|
||||
normal = rand->next_normal;
|
||||
}
|
||||
else
|
||||
{
|
||||
gdouble u1;
|
||||
gdouble u2 = g_rand_double_range (rand, -1, 1);
|
||||
gdouble s, f;
|
||||
do
|
||||
{
|
||||
u1 = u2;
|
||||
u2 = g_rand_double_range (rand, -1, 1);
|
||||
s = u1 * u1 + u2 * u2;
|
||||
} while (s >= 1.0);
|
||||
f = sqrt (-2 * log (s) / s);
|
||||
normal = u1 * f;
|
||||
rand->next_normal = u2 * f;
|
||||
rand->have_next_normal = TRUE;
|
||||
}
|
||||
return mean + normal * standard_deviation;
|
||||
}
|
||||
#endif
|
||||
|
||||
guint32
|
||||
g_random_int (void)
|
||||
{
|
||||
guint32 result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_int (global_random);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
|
||||
gint32
|
||||
g_random_int_range (gint32 min, gint32 max)
|
||||
{
|
||||
gint32 result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_int_range (global_random, min, max);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
|
||||
gdouble
|
||||
g_random_double (void)
|
||||
{
|
||||
double result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_double (global_random);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
|
||||
gdouble
|
||||
g_random_double_range (gdouble min, gdouble max)
|
||||
{
|
||||
double result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_double_range (global_random, min, max);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
|
||||
#if WE_REALLY_WANT_HAVE_MATH_LIB_LINKED
|
||||
gdouble
|
||||
g_random_normal (gdouble mean, gdouble standard_deviation)
|
||||
{
|
||||
double result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_normal (global_random, mean, standard_deviation);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
#endif
|
||||
|
||||
void
|
||||
g_random_set_seed (guint32 seed)
|
||||
{
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new_with_seed (seed);
|
||||
else
|
||||
g_rand_set_seed (global_random, seed);
|
||||
G_UNLOCK (global_random);
|
||||
}
|
||||
|
||||
334
grand.c
Normal file
334
grand.c
Normal file
@ -0,0 +1,334 @@
|
||||
/* GLIB - Library of useful routines for C programming
|
||||
* Copyright (C) 1995-1997 Peter Mattis, Spencer Kimball and Josh MacDonald
|
||||
*
|
||||
* This library is free software; you can redistribute it and/or
|
||||
* modify it under the terms of the GNU Library General Public
|
||||
* License as published by the Free Software Foundation; either
|
||||
* version 2 of the License, or (at your option) any later version.
|
||||
*
|
||||
* This library 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
|
||||
* Library General Public License for more details.
|
||||
*
|
||||
* You should have received a copy of the GNU Library General Public
|
||||
* License along with this library; if not, write to the
|
||||
* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
|
||||
* Boston, MA 02111-1307, USA.
|
||||
*/
|
||||
|
||||
/* Originally developed and coded by Makoto Matsumoto and Takuji
|
||||
* Nishimura. Please mail <matumoto@math.keio.ac.jp>, if you're using
|
||||
* code from this file in your own programs or libraries.
|
||||
* Further information on the Mersenne Twister can be found at
|
||||
* http://www.math.keio.ac.jp/~matumoto/emt.html
|
||||
*/
|
||||
|
||||
/*
|
||||
* Modified by the GLib Team and others 1997-1999. See the AUTHORS
|
||||
* file for a list of people on the GLib Team. See the ChangeLog
|
||||
* files for a list of changes. These files are distributed with
|
||||
* GLib at ftp://ftp.gtk.org/pub/gtk/.
|
||||
*/
|
||||
|
||||
#include <glib.h>
|
||||
#include <math.h>
|
||||
#include <stdio.h>
|
||||
|
||||
G_LOCK_DEFINE_STATIC (global_random);
|
||||
static GRand* global_random = NULL;
|
||||
|
||||
/* Period parameters */
|
||||
#define N 624
|
||||
#define M 397
|
||||
#define MATRIX_A 0x9908b0df /* constant vector a */
|
||||
#define UPPER_MASK 0x80000000 /* most significant w-r bits */
|
||||
#define LOWER_MASK 0x7fffffff /* least significant r bits */
|
||||
|
||||
/* Tempering parameters */
|
||||
#define TEMPERING_MASK_B 0x9d2c5680
|
||||
#define TEMPERING_MASK_C 0xefc60000
|
||||
#define TEMPERING_SHIFT_U(y) (y >> 11)
|
||||
#define TEMPERING_SHIFT_S(y) (y << 7)
|
||||
#define TEMPERING_SHIFT_T(y) (y << 15)
|
||||
#define TEMPERING_SHIFT_L(y) (y >> 18)
|
||||
|
||||
struct _GRand
|
||||
{
|
||||
guint32 mt[N]; /* the array for the state vector */
|
||||
guint mti;
|
||||
gboolean have_next_normal;
|
||||
gdouble next_normal;
|
||||
};
|
||||
|
||||
GRand*
|
||||
g_rand_new_with_seed (guint32 seed)
|
||||
{
|
||||
GRand *rand = g_new0 (GRand, 1);
|
||||
g_rand_set_seed (rand, seed);
|
||||
return rand;
|
||||
}
|
||||
|
||||
GRand*
|
||||
g_rand_new ()
|
||||
{
|
||||
guint32 seed = 0;
|
||||
GTimeVal now;
|
||||
FILE* dev_random = fopen("/dev/random", "rb");
|
||||
|
||||
if (dev_random)
|
||||
{
|
||||
if (fread (&seed, sizeof (seed), 1, dev_random) != 1)
|
||||
seed = 0;
|
||||
fclose (dev_random);
|
||||
}
|
||||
|
||||
/* Using /dev/random alone makes the seed computable for the
|
||||
outside. This might pose security problems somewhere. This should
|
||||
yield better values */
|
||||
|
||||
g_get_current_time (&now);
|
||||
seed ^= now.tv_sec ^ now.tv_usec;
|
||||
|
||||
return g_rand_new_with_seed (seed);
|
||||
}
|
||||
|
||||
void
|
||||
g_rand_free (GRand* rand)
|
||||
{
|
||||
g_return_if_fail (rand);
|
||||
|
||||
g_free (rand);
|
||||
}
|
||||
|
||||
void
|
||||
g_rand_set_seed (GRand* rand, guint32 seed)
|
||||
{
|
||||
g_return_if_fail (rand);
|
||||
|
||||
/* setting initial seeds to mt[N] using */
|
||||
/* the generator Line 25 of Table 1 in */
|
||||
/* [KNUTH 1981, The Art of Computer Programming */
|
||||
/* Vol. 2 (2nd Ed.), pp102] */
|
||||
rand->mt[0]= seed & 0xffffffff;
|
||||
for (rand->mti=1; rand->mti<N; rand->mti++)
|
||||
rand->mt[rand->mti] = (69069 * rand->mt[rand->mti-1]) & 0xffffffff;
|
||||
|
||||
rand->have_next_normal = FALSE;
|
||||
}
|
||||
|
||||
guint32
|
||||
g_rand_int (GRand* rand)
|
||||
{
|
||||
guint32 y;
|
||||
static const guint32 mag01[2]={0x0, MATRIX_A};
|
||||
/* mag01[x] = x * MATRIX_A for x=0,1 */
|
||||
|
||||
g_return_val_if_fail (rand, 0);
|
||||
|
||||
if (rand->mti >= N) { /* generate N words at one time */
|
||||
int kk;
|
||||
|
||||
for (kk=0;kk<N-M;kk++) {
|
||||
y = (rand->mt[kk]&UPPER_MASK)|(rand->mt[kk+1]&LOWER_MASK);
|
||||
rand->mt[kk] = rand->mt[kk+M] ^ (y >> 1) ^ mag01[y & 0x1];
|
||||
}
|
||||
for (;kk<N-1;kk++) {
|
||||
y = (rand->mt[kk]&UPPER_MASK)|(rand->mt[kk+1]&LOWER_MASK);
|
||||
rand->mt[kk] = rand->mt[kk+(M-N)] ^ (y >> 1) ^ mag01[y & 0x1];
|
||||
}
|
||||
y = (rand->mt[N-1]&UPPER_MASK)|(rand->mt[0]&LOWER_MASK);
|
||||
rand->mt[N-1] = rand->mt[M-1] ^ (y >> 1) ^ mag01[y & 0x1];
|
||||
|
||||
rand->mti = 0;
|
||||
}
|
||||
|
||||
y = rand->mt[rand->mti++];
|
||||
y ^= TEMPERING_SHIFT_U(y);
|
||||
y ^= TEMPERING_SHIFT_S(y) & TEMPERING_MASK_B;
|
||||
y ^= TEMPERING_SHIFT_T(y) & TEMPERING_MASK_C;
|
||||
y ^= TEMPERING_SHIFT_L(y);
|
||||
|
||||
return y;
|
||||
}
|
||||
|
||||
gint32
|
||||
g_rand_int_range (GRand* rand, gint32 min, gint32 max)
|
||||
{
|
||||
guint32 dist = max - min;
|
||||
guint32 random;
|
||||
|
||||
g_return_val_if_fail (rand, min);
|
||||
g_return_val_if_fail (max > min, min);
|
||||
|
||||
if (dist <= 0x10000L) /* 2^16 */
|
||||
{
|
||||
/* All tricks doing modulo calculations do not have a good
|
||||
distribution -> We must use this slower method for maximal
|
||||
quality, but this method is only good for (max - min) <= 2^16 */
|
||||
|
||||
random = (gint32) g_rand_double_range (rand, 0, dist);
|
||||
/* we'd rather use the following, if -lm is allowed later on:
|
||||
random = (gint32) floor (g_rand_double_range (rand, 0, dist)); */
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Now it's harder to make it right. We calculate the smallest m,
|
||||
such that dist < 2 ^ m, then we calculate a random number in
|
||||
[1..2^32-1] and rightshift it by 32 - m. Then we test, if it
|
||||
is smaller than dist and if not, get a new number and so
|
||||
forth until we get a number smaller than dist. We just return
|
||||
this. */
|
||||
guint32 border = 0x20000L; /* 2^17 */
|
||||
guint right_shift = 15; /* 32 - 17 */
|
||||
|
||||
if (dist >= 0x80000000) /* in the case of dist > 2^31 our loop
|
||||
below will be infinite */
|
||||
{
|
||||
right_shift = 0;
|
||||
}
|
||||
else
|
||||
{
|
||||
while (dist >= border)
|
||||
{
|
||||
border <<= 1;
|
||||
right_shift--;
|
||||
}
|
||||
}
|
||||
do
|
||||
{
|
||||
random = g_rand_int (rand) >> right_shift;
|
||||
} while (random >= dist);
|
||||
}
|
||||
return min + random;
|
||||
}
|
||||
|
||||
/* transform [0..2^32-1] -> [0..1) */
|
||||
#define G_RAND_DOUBLE_TRANSFORM 2.3283064365386963e-10
|
||||
|
||||
gdouble
|
||||
g_rand_double (GRand* rand)
|
||||
{
|
||||
return g_rand_int (rand) * G_RAND_DOUBLE_TRANSFORM;
|
||||
}
|
||||
|
||||
gdouble
|
||||
g_rand_double_range (GRand* rand, gdouble min, gdouble max)
|
||||
{
|
||||
return g_rand_int (rand) * ((max - min) * G_RAND_DOUBLE_TRANSFORM) + min;
|
||||
}
|
||||
|
||||
|
||||
#if WE_REALLY_WANT_HAVE_MATH_LIB_LINKED
|
||||
gdouble
|
||||
g_rand_normal (GRand* rand, gdouble mean, gdouble standard_deviation)
|
||||
{
|
||||
/* For a description of the used algorithm see Knuth: "The Art of
|
||||
Computer Programming", Vol.2, Second Edition, Page 117: Polar
|
||||
method for normal deviates due to Box, Muller, Marsaglia */
|
||||
gdouble normal;
|
||||
g_return_val_if_fail (rand, 0);
|
||||
|
||||
if (rand->have_next_normal)
|
||||
{
|
||||
rand->have_next_normal = FALSE;
|
||||
normal = rand->next_normal;
|
||||
}
|
||||
else
|
||||
{
|
||||
gdouble u1;
|
||||
gdouble u2 = g_rand_double_range (rand, -1, 1);
|
||||
gdouble s, f;
|
||||
do
|
||||
{
|
||||
u1 = u2;
|
||||
u2 = g_rand_double_range (rand, -1, 1);
|
||||
s = u1 * u1 + u2 * u2;
|
||||
} while (s >= 1.0);
|
||||
f = sqrt (-2 * log (s) / s);
|
||||
normal = u1 * f;
|
||||
rand->next_normal = u2 * f;
|
||||
rand->have_next_normal = TRUE;
|
||||
}
|
||||
return mean + normal * standard_deviation;
|
||||
}
|
||||
#endif
|
||||
|
||||
guint32
|
||||
g_random_int (void)
|
||||
{
|
||||
guint32 result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_int (global_random);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
|
||||
gint32
|
||||
g_random_int_range (gint32 min, gint32 max)
|
||||
{
|
||||
gint32 result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_int_range (global_random, min, max);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
|
||||
gdouble
|
||||
g_random_double (void)
|
||||
{
|
||||
double result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_double (global_random);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
|
||||
gdouble
|
||||
g_random_double_range (gdouble min, gdouble max)
|
||||
{
|
||||
double result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_double_range (global_random, min, max);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
|
||||
#if WE_REALLY_WANT_HAVE_MATH_LIB_LINKED
|
||||
gdouble
|
||||
g_random_normal (gdouble mean, gdouble standard_deviation)
|
||||
{
|
||||
double result;
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new ();
|
||||
|
||||
result = g_rand_normal (global_random, mean, standard_deviation);
|
||||
G_UNLOCK (global_random);
|
||||
return result;
|
||||
}
|
||||
#endif
|
||||
|
||||
void
|
||||
g_random_set_seed (guint32 seed)
|
||||
{
|
||||
G_LOCK (global_random);
|
||||
if (!global_random)
|
||||
global_random = g_rand_new_with_seed (seed);
|
||||
else
|
||||
g_rand_set_seed (global_random, seed);
|
||||
G_UNLOCK (global_random);
|
||||
}
|
||||
|
||||
@ -9,6 +9,7 @@ TESTS = \
|
||||
list-test \
|
||||
node-test \
|
||||
queue-test \
|
||||
rand-test \
|
||||
relation-test \
|
||||
slist-test \
|
||||
stack-test \
|
||||
@ -26,6 +27,7 @@ hash_test_LDADD = $(top_builddir)/libglib.la
|
||||
list_test_LDADD = $(top_builddir)/libglib.la
|
||||
node_test_LDADD = $(top_builddir)/libglib.la
|
||||
queue_test_LDADD = $(top_builddir)/libglib.la
|
||||
rand_test_LDADD = $(top_builddir)/libglib.la
|
||||
relation_test_LDADD = $(top_builddir)/libglib.la
|
||||
slist_test_LDADD = $(top_builddir)/libglib.la
|
||||
stack_test_LDADD = $(top_builddir)/libglib.la
|
||||
|
||||
43
tests/rand-test.c
Normal file
43
tests/rand-test.c
Normal file
@ -0,0 +1,43 @@
|
||||
#include <glib.h>
|
||||
|
||||
const gint32 first_numbers[] =
|
||||
{
|
||||
0x7a7a7a7a,
|
||||
0x20aea82a,
|
||||
0xcab337ab,
|
||||
0xdcf770ea,
|
||||
0xdf552b2f,
|
||||
0x32d1ef7f,
|
||||
0x6bed6dd9,
|
||||
0x7222df44,
|
||||
0x6b842128,
|
||||
0x07f8579a,
|
||||
0x9dad1004,
|
||||
0x2df264f2,
|
||||
0x13b48989,
|
||||
0xf2929475,
|
||||
0x30f30c97,
|
||||
0x3f9a1ea7,
|
||||
0x3bf04710,
|
||||
0xb85bd69e,
|
||||
0x790a48b0,
|
||||
0xfa06b85f,
|
||||
0xa64cc9e3
|
||||
};
|
||||
|
||||
const gint length = sizeof (first_numbers) / sizeof (first_numbers[0]);
|
||||
|
||||
int main()
|
||||
{
|
||||
guint i;
|
||||
|
||||
GRand* rand = g_rand_new_with_seed (first_numbers[0]);
|
||||
|
||||
for (i = 1; i < length; i++)
|
||||
g_assert (first_numbers[i]);
|
||||
|
||||
g_rand_free (rand);
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
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Reference in New Issue
Block a user