Random Numbers: GLib Reference Manual

## Random Numbers Random Numbers — pseudo-random number generator |

## Functions

GRand * | g_rand_new_with_seed ()
GRand * | g_rand_new_with_seed_array ()
GRand * | g_rand_new ()
GRand * | g_rand_copy ()
void | g_rand_free ()
void | g_rand_set_seed ()
void | g_rand_set_seed_array ()
#define | g_rand_boolean()
guint32 | g_rand_int ()
gint32 | g_rand_int_range ()
gdouble | g_rand_double ()
gdouble | g_rand_double_range ()
void | g_random_set_seed ()
#define | g_random_boolean
guint32 | g_random_int ()
gint32 | g_random_int_range ()
gdouble | g_random_double ()
gdouble | g_random_double_range ()

## Types and Values

| GRand

## Includes

    #include <gmodule.h>

## Description

The following functions allow you to use a portable, fast and good pseudo-random number generator (PRNG).

Do not use this API for cryptographic purposes such as key generation, nonces, salts or one-time pads.

This PRNG is suitable for non-cryptographic use such as in games (shuffling a card deck, generating levels), generating data for a test suite, etc. If you need random data for cryptographic purposes, it is recommended to use platform-specific APIs such as `/dev/random` on UNIX, or `CryptGenRandom()` on Windows.

GRand uses the Mersenne Twister PRNG, which was originally developed by Makoto Matsumoto and Takuji Nishimura. Further information can be found at this page.

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 `(`g_random_int()`%max)` approach often doesn't yield equally distributed numbers.

GLib changed the seeding algorithm for the pseudo-random number generator Mersenne Twister, as used by GRand. This was necessary, because some seeds would yield very bad pseudo-random streams. Also the pseudo-random integers generated by g_rand*_int_range() will have a slightly better equal distribution with the new version of GLib.

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.

## Functions

### g_rand_new_with_seed ()

    GRand *
    g_rand_new_with_seed (guint32 seed);

Creates a new random number generator initialized with `seed` .

#### Parameters

seed | a value to initialize the random number generator |

#### Returns

the new GRand

### g_rand_new_with_seed_array ()

    GRand *
    g_rand_new_with_seed_array (const guint32 *seed,
                                guint seed_length);

Creates a new random number generator initialized with `seed` .

#### Parameters

seed | an array of seeds to initialize the random number generator |
seed_length | an array of seeds to initialize the random number generator |

#### Returns

the new GRand

Since: 2.4

### g_rand_new ()

    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).

On Windows, the seed is taken from `rand_s()`.

#### Returns

the new GRand

### g_rand_copy ()

    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.

#### Parameters

rand_ | a GRand |

#### Returns

the new GRand

Since: 2.4

### g_rand_free ()

    void
    g_rand_free (GRand *rand_);

Frees the memory allocated for the GRand.

#### Parameters

rand_ | a GRand |

### g_rand_set_seed ()

    void
    g_rand_set_seed (GRand *rand_,
                     guint32 seed);

Sets the seed for the random number generator GRand to `seed` .

#### Parameters

rand_ | a GRand |
seed | a value to reinitialize the random number generator |

### g_rand_set_seed_array ()

    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 32 bits of actual entropy for your application.

#### Parameters

rand_ | a GRand |
seed | array to initialize with |
seed_length | length of array |

Since: 2.4

### g_rand_boolean()

    #define             g_rand_boolean(rand_)

Returns a random gboolean from `rand_` . This corresponds to an unbiased coin toss.

#### Parameters

rand_ | a GRand |

#### Returns

a random gboolean

### g_rand_int ()

    guint32
    g_rand_int (GRand *rand_);

Returns the next random guint32 from `rand_` equally distributed over the range [0..2^32-1].

#### Parameters

rand_ | a GRand |

#### Returns

a random number

### g_rand_int_range ()

    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].

#### Parameters

rand_ | a GRand |
begin | lower closed bound of the interval |
end | upper open bound of the interval |

#### Returns

a random number

### g_rand_double ()

    gdouble
    g_rand_double (GRand *rand_);

Returns the next random gdouble from `rand_` equally distributed over the range [0..1).

#### Parameters

rand_ | a GRand |

#### Returns

a random number

### g_rand_double_range ()

    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` ).

#### Parameters

rand_ | a GRand |
begin | lower closed bound of the interval |
end | upper open bound of the interval |

#### Returns

a random number

### g_random_set_seed ()

    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` .

#### Parameters

seed | a value to reinitialize the global random number generator |

### g_random_boolean

    #define             g_random_boolean()

Returns a random gboolean. This corresponds to an unbiased coin toss.

#### Returns

a random gboolean

### g_random_int ()

    guint32
    g_random_int (void);

Return a random guint32 equally distributed over the range [0..2^32-1].

#### Returns

a random number

### g_random_int_range ()

    gint32
    g_random_int_range (gint32 begin,
                        gint32 end);

Returns a random gint32 equally distributed over the range [`begin` ..`end` -1].

#### Parameters

begin | lower closed bound of the interval |
end | upper open bound of the interval |

#### Returns

a random number

### g_random_double ()

    gdouble
    g_random_double (void);

Returns a random gdouble equally distributed over the range [0..1).

#### Returns

a random number

### g_random_double_range ()

    gdouble
    g_random_double_range (gdouble begin,
                           gdouble end);

Returns a random gdouble equally distributed over the range [`begin` ..`end` ).

#### Parameters

begin | lower closed bound of the interval |
end | upper open bound of the interval |

#### Returns

a random number

## Types and Values

### GRand

    typedef struct _GRand GRand;

The GRand struct is an opaque data structure. It should only be accessed through the g_rand_* functions.