NAME

       Stdlib.Random - no description

Module

       Module   Stdlib.Random

Documentation

       Module Random
        : (module Stdlib__random)

   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.

       Before3.12.0 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.

   Advanced functions
       The functions from  module  Random.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 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.