Stdlib.Random
Pseudo-random number generators (PRNG).
Initialize the generator, using the argument as a seed. The same seed will always yield the same sequence of numbers.
Same as Random.init
but takes more data as seed.
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).
Random.int bound
returns a random integer between 0 (inclusive) and bound
(exclusive). bound
must be greater than 0 and less than 230.
Random.full_int bound
returns a random integer between 0 (inclusive) and bound
(exclusive). bound
may be any positive integer.
If bound
is less than 230, Random.full_int bound
is equal to Random.int
bound
. If bound
is greater than 230 (on 64-bit systems or non-standard environments, such as JavaScript), Random.full_int
returns a value, where Random.int
raises Invalid_argument
.
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.
Random.int64 bound
returns a random integer between 0 (inclusive) and bound
(exclusive). bound
must be greater than 0.
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 bits32 : unit -> Int32.t
Random.bits32 ()
returns 32 random bits as an integer between Int32.min_int
and Int32.max_int
.
val bits64 : unit -> Int64.t
Random.bits64 ()
returns 64 random bits as an integer between Int64.min_int
and Int64.max_int
.
val nativebits : unit -> Nativeint.t
Random.nativebits ()
returns 32 or 64 random bits (depending on the bit width of the platform) as an integer between Nativeint.min_int
and Nativeint.max_int
.
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 ... 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.