godot/doc/classes/RandomNumberGenerator.xml
toasteater ae1393acae Improve RandomNumberGenerator docs.
Clarified behavior of a few methods. Added implementation notes so
that developers not familiar with RNGs are alerted to common pitfalls.
2019-04-02 22:42:49 +08:00

67 lines
2.2 KiB
XML

<?xml version="1.0" encoding="UTF-8" ?>
<class name="RandomNumberGenerator" inherits="Reference" category="Core" version="3.2">
<brief_description>
A class for generating pseudo-random numbers.
</brief_description>
<description>
RandomNumberGenerator is a class for generating pseudo-random numbers. It currently uses PCG32. The underlying algorithm is an implementation detail. As a result, it should not be depended upon for reproducible random streams across Godot versions.
</description>
<tutorials>
</tutorials>
<demos>
</demos>
<methods>
<method name="randf">
<return type="float">
</return>
<description>
Generates pseudo-random float between '0.0' and '1.0', inclusive.
</description>
</method>
<method name="randf_range">
<return type="float">
</return>
<argument index="0" name="from" type="float">
</argument>
<argument index="1" name="to" type="float">
</argument>
<description>
Generates pseudo-random float between [code]from[/code] and [code]to[/code], inclusive.
</description>
</method>
<method name="randi">
<return type="int">
</return>
<description>
Generates pseudo-random 32-bit unsigned integer between '0' and '4294967295', inclusive.
</description>
</method>
<method name="randi_range">
<return type="int">
</return>
<argument index="0" name="from" type="int">
</argument>
<argument index="1" name="to" type="int">
</argument>
<description>
Generates pseudo-random 32-bit signed integer between [code]from[/code] and [code]to[/code] (inclusive).
</description>
</method>
<method name="randomize">
<return type="void">
</return>
<description>
Setups a time-based seed to generator.
</description>
</method>
</methods>
<members>
<member name="seed" type="int" setter="set_seed" getter="get_seed">
The seed used by the random number generator. A given seed will give a reproducible sequence of pseudo-random numbers.
[b]Note:[/b] The RNG does not have an avalanche effect, and can output similar random streams given similar seeds. Consider using a hash function to improve your seed quality if they're sourced externally.
</member>
</members>
<constants>
</constants>
</class>