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GLib Reference Manual | ![]() |
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Top | Description |
#include <glib.h> GRand; GRand* g_rand_new_with_seed (guint32 seed); GRand* g_rand_new_with_seed_array (const guint32 *seed, guint seed_length); GRand* g_rand_new (void); GRand* g_rand_copy (GRand *rand_); void g_rand_free (GRand *rand_); void g_rand_set_seed (GRand *rand_, guint32 seed); void g_rand_set_seed_array (GRand *rand_, const guint32 *seed, guint seed_length); #define g_rand_boolean (rand_) guint32 g_rand_int (GRand *rand_); gint32 g_rand_int_range (GRand *rand_, gint32 begin, gint32 end); gdouble g_rand_double (GRand *rand_); gdouble g_rand_double_range (GRand *rand_, gdouble begin, gdouble end); void g_random_set_seed (guint32 seed); #define g_random_boolean () guint32 g_random_int (void); gint32 g_random_int_range (gint32 begin, gint32 end); gdouble g_random_double (void); gdouble g_random_double_range (gdouble begin, gdouble end);
The following functions allow you to use a portable, fast and good pseudo-random number generator (PRNG). It uses the Mersenne Twister PRNG, which was originally developed by Makoto Matsumoto and Takuji Nishimura. Further information can be found at www.math.keio.ac.jp/~matumoto/emt.html.
If you just need a random number, you simply call the
g_random_*
functions, which will create a globally
used GRand and use the according g_rand_*
functions
internally. Whenever you need a stream of reproducible random numbers, you
better create a GRand yourself and use the g_rand_*
functions directly, which will also be slightly faster. Initializing a GRand
with a certain seed will produce exactly the same series of random numbers
on all platforms. This can thus be used as a seed for e.g. games.
The g_rand*_range
functions will return high quality
equally distributed random numbers, whereas for example the
(
approach often doesn't
yield equally distributed numbers.
g_random_int()
%max)
GLib changed the seeding algorithm for the pseudo-random number
generator Mersenne Twister, as used by GRand
and GRandom. This was necessary, because some
seeds would yield very bad pseudo-random streams. Also the
pseudo-random integers generated by
g_rand*
will have a
slightly better equal distribution with the new version of GLib.
_int_range()
The original seeding and generation algorithms, as found in GLib 2.0.x,
can be used instead of the new ones by setting the environment variable
G_RANDOM_VERSION
to the value of '2.0'. Use the
GLib-2.0 algorithms only if you have sequences of numbers generated
with Glib-2.0 that you need to reproduce exactly.
typedef struct _GRand GRand;
The GRand struct is an opaque data structure. It should only be
accessed through the g_rand_*
functions.
GRand* g_rand_new_with_seed (guint32 seed);
Creates a new random number generator initialized with seed
.
|
a value to initialize the random number generator. |
Returns : |
the new GRand. |
GRand* g_rand_new_with_seed_array (const guint32 *seed, guint seed_length);
Creates a new random number generator initialized with seed
.
|
an array of seeds to initialize the random number generator. |
|
an array of seeds to initialize the random number generator. |
Returns : |
the new GRand. |
Since 2.4
GRand* g_rand_new (void);
Creates a new random number generator initialized with a seed taken
either from /dev/urandom
(if existing) or from
the current time (as a fallback).
Returns : |
the new GRand. |
GRand* g_rand_copy (GRand *rand_);
Copies a GRand into a new one with the same exact state as before. This way you can take a snapshot of the random number generator for replaying later.
Since 2.4
void g_rand_free (GRand *rand_);
Frees the memory allocated for the GRand.
|
a GRand. |
void g_rand_set_seed (GRand *rand_, guint32 seed);
Sets the seed for the random number generator GRand to seed
.
|
a GRand. |
|
a value to reinitialize the random number generator. |
void g_rand_set_seed_array (GRand *rand_, const guint32 *seed, guint seed_length);
Initializes the random number generator by an array of longs. Array can be of arbitrary size, though only the first 624 values are taken. This function is useful if you have many low entropy seeds, or if you require more then 32bits of actual entropy for your application.
|
a GRand. |
|
array to initialize with |
|
length of array |
Since 2.4
#define g_rand_boolean(rand_)
Returns a random gboolean from rand_
. This corresponds to a unbiased
coin toss.
guint32 g_rand_int (GRand *rand_);
Returns the next random guint32 from rand_
equally distributed over
the range [0..2^32-1].
|
a GRand. |
Returns : |
A random number. |
gint32 g_rand_int_range (GRand *rand_, gint32 begin, gint32 end);
Returns the next random gint32 from rand_
equally distributed over
the range [begin
..end
-1].
|
a GRand. |
|
lower closed bound of the interval. |
|
upper open bound of the interval. |
Returns : |
A random number. |
gdouble g_rand_double (GRand *rand_);
Returns the next random gdouble from rand_
equally distributed over
the range [0..1).
|
a GRand. |
Returns : |
A random number. |
gdouble g_rand_double_range (GRand *rand_, gdouble begin, gdouble end);
Returns the next random gdouble from rand_
equally distributed over
the range [begin
..end
).
|
a GRand. |
|
lower closed bound of the interval. |
|
upper open bound of the interval. |
Returns : |
A random number. |
void g_random_set_seed (guint32 seed);
Sets the seed for the global random number generator, which is used
by the g_random_*
functions, to seed
.
|
a value to reinitialize the global random number generator. |
#define g_random_boolean()
Returns a random gboolean. This corresponds to a unbiased coin toss.
Returns : |
a random gboolean. |
guint32 g_random_int (void);
Return a random guint32 equally distributed over the range [0..2^32-1].
Returns : |
A random number. |
gint32 g_random_int_range (gint32 begin, gint32 end);
Returns a random gint32 equally distributed over the range
[begin
..end
-1].
|
lower closed bound of the interval. |
|
upper open bound of the interval. |
Returns : |
A random number. |
gdouble g_random_double (void);
Returns a random gdouble equally distributed over the range [0..1).
Returns : |
A random number. |