/usr/x86_64-w64-mingw32/lib/ocaml/random.mli is in ocaml-mingw-w64-x86-64 4.01.0~20140328-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | (***********************************************************************)
(* *)
(* OCaml *)
(* *)
(* 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. *)
(* *)
(***********************************************************************)
(** 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 random seed chosen
in a system-dependent way. If [/dev/urandom] is available on
the host machine, it is used to provide a highly random initial
seed. Otherwise, a less random seed is computed from system
parameters (current time, process IDs). *)
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 and [bound] (inclusive). 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 explicitly.
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. *)
|