A simple, fast pseudo-random number generator. Internally, it uses the well equidistributed long-period linear PRNG (WELL512a).

Each instance of the class generates a sequence of randomly distributed numbers
based on the internal state of the object. The state is initialized from a
*seed*. Two instances with the same seed generate the exact same sequence of
numbers.

It must be imported from the random module:

import "random" for Random

Creates a new generator whose state is seeded based on the current time.

var random = Random.new()

Creates a new generator initialized with [seed]. The seed can either be a number, or a non-empty sequence of numbers. If the sequnce has more than 16 elements, only the first 16 are used. If it has fewer, the elements are cycled to generate 16 seed values.

Random.new(12345) Random.new("appleseed".codePoints)

Returns a floating point value between 0.0 and 1.0, including 0.0, but excluding 1.0.

var random = Random.new(12345) System.print(random.float()) 0.53178795980617 System.print(random.float()) 0.20180515043262 System.print(random.float()) 0.43371948658705

Returns a floating point value between 0.0 and `end`

, including 0.0 but
excluding `end`

.

var random = Random.new(12345) System.print(random.float(0)) 0 System.print(random.float(100)) 20.180515043262 System.print(random.float(-100)) -43.371948658705

Returns a floating point value between `start`

and `end`

, including `start`

but
excluding `end`

.

var random = Random.new(12345) System.print(random.float(3, 4)) 3.5317879598062 System.print(random.float(-10, 10)) -5.9638969913476 System.print(random.float(-4, 2)) -1.3976830804777

Returns an integer between 0 and `end`

, including 0 but excluding `end`

.

var random = Random.new(12345) System.print(random.int(1)) 0 System.print(random.int(10)) 2 System.print(random.int(-50)) -22

Returns an integer between `start`

and `end`

, including `start`

but excluding
`end`

.

var random = Random.new(12345) System.print(random.int(3, 4)) 3 System.print(random.int(-10, 10)) -6 System.print(random.int(-4, 2)) -2

Selects a random element from `list`

.

Samples `count`

randomly chosen unique elements from `list`

.

This uses “random without replacement” sampling—no index in the list will be selected more than once.

Returns a new list of the selected elements.

It is an error if `count`

is greater than the number of elements in the list.

Randomly shuffles the elements in `list`

. The items are randomly re-ordered in
place.

var random = Random.new(12345) var list = (1..5).toList random.shuffle(list) System.print(list) [3, 2, 4, 1, 5]

Uses the Fisher-Yates algorithm to ensure that all permutations are chosen with equal probability.

Keep in mind that a list with even a modestly large number of elements has an astronomically large number of permutations. For example, there are about 10^74 ways a deck of 56 cards can be shuffled. The random number generator’s internal state is not that large, which means there are many permutations it will never generate.