ocaml/stdlib/random.mli

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(*                           Objective Caml                            *)
(*                                                                     *)
(*              Damien Doligez, projet Para, INRIA Rocquencourt        *)
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(*  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.     *)
(*                                                                     *)
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(* $Id$ *)

(** Pseudo-random number generator (PRNG). *)

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. *)

val int : int -> int
(** [Random.int bound] returns a random integer between 0 (inclusive)
     and [bound] (exclusive).  [bound] must be more than 0 and less
     than 2{^30}. *)

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.  If [bound] is 0, the result
   is 0. *)

val bool : unit -> bool
(** [Random.bool ()] returns [true] or [false] with probability 0.5 each. *)

type state
(** Values of this type are used to store the current state of the
   generator. *)

val get_state : unit -> state
(** Returns the current state of the generator.  This is useful for
   checkpointing computations that use the PRNG. *)

val set_state : state -> unit
(** Resets the state of the generator to some previous state returned by
   {!Random.get_state}. *)