Random
The Random data type generates pseudorandom numbers and directions.
Resumen
Métodos
Returns a pseudorandom integer uniformly distributed over [min, max].
Returns a pseudorandom number uniformly distributed over [0, 1].
Returns a pseudorandom number uniformly distributed over [min, max].
Uniformly shuffles a table in-place.
Returns a unit vector with a pseudorandom direction.
Returns a new Random object with the same state as the original.
Constructores
new
Returns a new Random object. If you don't provide the seed parameter, Random uses a seed from an internal entropy source.
If you provide a seed, it should be within the range [-9007199254740991, 9007199254740991], and Random will round it down to the nearest integer. So seeds of 0, 0.99, and math.random() all produce identical generators. If you need to generate a seed and store it for later retrieval, use math.random(max).
Parámetros
Muestras de código
Generates a pseudorandom seed and uses it to create a new Random generator.
local max = 2147483647 -- use a large integer
local seed = math.random(max)
local generator = Random.new(seed)Métodos
Shuffle
Uniformly shuffles the array part of tb in-place using NextInteger to pick indices. If there are any nil "holes" in the array part of the table, Shuffle throws an error, since shuffling could change the length.
The hash part of tb is ignored. No metamethods of tb are invoked.
The shuffle is defined to be a Fisher-Yates shuffle so the number of NextInteger calls is guaranteed to be consistent between engine versions for a given size of table.