Module Random


module Random: sig .. end
Pseudo-random number generators (PRNG).


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 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 greater than 0 and less than 230.
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 (inclusive) and bound (exclusive). 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 State manipulate the current state of the random generator explicitely. 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.