GLib.Rand¶
Fields¶
None
Methods¶
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Details¶
- class GLib.Rand¶
The
GLib.Rand
struct is an opaque data structure. It should only be accessed through the g_rand_* functions.- classmethod new()[source]¶
-
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().
- classmethod new_with_seed(seed)[source]¶
- Parameters:
seed (
int
) – a value to initialize the random number generator- Returns:
the new
GLib.Rand
- Return type:
Creates a new random number generator initialized with seed.
- classmethod new_with_seed_array(seed, seed_length)[source]¶
- Parameters:
- Returns:
the new
GLib.Rand
- Return type:
Creates a new random number generator initialized with seed.
New in version 2.4.
- copy()[source]¶
-
Copies a
GLib.Rand
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.New in version 2.4.
- double()[source]¶
- Returns:
a random number
- Return type:
Returns the next random
float
from self equally distributed over the range [0..1).
- double_range(begin, end)[source]¶
- Parameters:
- Returns:
a random number
- Return type:
Returns the next random
float
from self equally distributed over the range [begin..`end`).
- int()[source]¶
- Returns:
a random number
- Return type:
Returns the next random #guint32 from self equally distributed over the range [0..2^32-1].
- int_range(begin, end)[source]¶
- Parameters:
- Returns:
a random number
- Return type:
Returns the next random #gint32 from self equally distributed over the range [begin..`end`-1].
- set_seed(seed)[source]¶
- Parameters:
seed (
int
) – a value to reinitialize the random number generator
Sets the seed for the random number generator
GLib.Rand
to seed.
- set_seed_array(seed, seed_length)[source]¶
-
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.
New in version 2.4.