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