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(* *)
(* Objective Caml *)
(* *)
(* Damien Doligez, projet Para, INRIA Rocquencourt *)
(* *)
(* Copyright 1996 Institut National de Recherche en Informatique et *)
(* en Automatique. All rights reserved. This file is distributed *)
(* under the terms of the GNU Library General Public License, with *)
(* the special exception on linking described in file ../LICENSE. *)
(* *)
(***********************************************************************)
(* $Id: random.mli 10457 2010-05-21 18:30:12Z doligez $ *)
(** Pseudo-random number generators (PRNG). *)
(** {6 Basic functions} *)
val init : int -> unit
(** Initialize the generator, using the argument as a seed.
The same seed will always yield the same sequence of numbers. *)
val full_init : int array -> unit
(** Same as {!Random.init} but takes more data as seed. *)
val self_init : unit -> unit
(** Initialize the generator with a more-or-less random seed chosen
in a system-dependent way. *)
val bits : unit -> int
(** Return 30 random bits in a nonnegative integer.
@before 3.12.0 used a different algorithm (affects all the following
functions)
*)
val int : int -> int
(** [Random.int bound] returns a random integer between 0 (inclusive)
and [bound] (exclusive). [bound] must be greater than 0 and less
than 2{^30}. *)
val int32 : Int32.t -> Int32.t;;
(** [Random.int32 bound] returns a random integer between 0 (inclusive)
and [bound] (exclusive). [bound] must be greater than 0. *)
val nativeint : Nativeint.t -> Nativeint.t;;
(** [Random.nativeint bound] returns a random integer between 0 (inclusive)
and [bound] (exclusive). [bound] must be greater than 0. *)
val int64 : Int64.t -> Int64.t;;
(** [Random.int64 bound] returns a random integer between 0 (inclusive)
and [bound] (exclusive). [bound] must be greater than 0. *)
val float : float -> float
(** [Random.float bound] returns a random floating-point number
between 0 (inclusive) and [bound] (exclusive). If [bound] is
negative, the result is negative or zero. If [bound] is 0,
the result is 0. *)
val bool : unit -> bool
(** [Random.bool ()] returns [true] or [false] with probability 0.5 each. *)
(** {6 Advanced functions} *)
(** The functions from module [State] manipulate the current state
of the random generator explicitely.
This allows using one or several deterministic PRNGs,
even in a multi-threaded program, without interference from
other parts of the program.
*)
module State : sig
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 system-dependent
low-entropy seed. *)
val copy : t -> t
(** Return a copy of the given state. *)
val bits : t -> int
val 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
(** These functions are the same as the basic functions, except that they
use (and update) the given PRNG state instead of the default one.
*)
end;;
val get_state : unit -> State.t
(** Return the current state of the generator used by the basic functions. *)
val set_state : State.t -> unit
(** Set the state of the generator used by the basic functions. *)
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