package stdlib-random

You can search for identifiers within the package.

in-package search v0.2.0

stdlib-random.v3
- Random3
  - State
stdlib-random.v4
- Random4
  - State
stdlib-random.v5
- Random5
  - State
stdlib-random.v5o
- Random5o
  - State

Legend:
Library
Module
Module type
Parameter
Class
Class type

type t

The type of PRNG states.

val make : int array -> t

Create a new state and initialize it with the given seed.

val make_self_init : unit -> t

Create a new state and initialize it with a random seed chosen in a system-dependent way. The seed is obtained as described in Random5.self_init.

val copy : t -> t

Return a copy of the given state.

val bits : t -> int

val int : t -> int -> int

val full_int : t -> int -> int

val int32 : t -> Int32.t -> Int32.t

val nativeint : t -> Nativeint.t -> Nativeint.t

val int64 : t -> Int64.t -> Int64.t

val float : t -> float -> float

val bool : t -> bool

val bits32 : t -> Int32.t

val bits64 : t -> Int64.t

val nativebits : t -> Nativeint.t

These functions are the same as the basic functions, except that they use (and update) the given PRNG state instead of the default one.

val split : t -> t

Draw a fresh PRNG state from the given PRNG state. The new PRNG is statistically independent from the given PRNG. Data can be drawn from both PRNGs, in any order, without risk of correlation. Both PRNGs can be split later, arbitrarily many times.