58 lines
2.2 KiB
OCaml
58 lines
2.2 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 generator (PRNG). *)
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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 more than 0 and less
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than 2{^30}. *)
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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. If [bound] is 0, the result
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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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type state
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(** Values of this type are used to store the current state of the
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generator. *)
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val get_state : unit -> state
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(** Returns the current state of the generator. This is useful for
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checkpointing computations that use the PRNG. *)
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val set_state : state -> unit
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(** Resets the state of the generator to some previous state returned by
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{!Random.get_state}. *)
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