module Random:sig
..end
Pseudo-random number generators (PRNG).
With multiple domains, each domain has its own generator that evolves independently of the generators of other domains. When a domain is created, its generator is initialized by splitting the state of the generator associated with the parent domain.
In contrast, all threads within a domain share the same domain-local
generator. Independent generators can be created with the Random.split
function and used with the functions from the Random.State
module.
val init : int -> unit
Initialize the domain-local 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 domain-local 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, domain-local state).
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.
Invalid_argument
if bound
<= 0 or bound
>= 230.val full_int : int -> int
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 231,
then Random.full_int bound
yields identical output
across systems with varying int
sizes.
If bound
is less than 230,
then Random.full_int bound
is equal to Random.int
bound
.
If bound
is at least 230
(on 64-bit systems, or non-standard environments such as JavaScript),
then Random.full_int
returns a value
whereas Random.int
raises Invalid_argument
.
Invalid_argument
if bound
<= 0.val int_in_range : min:int -> max:int -> int
Random.int_in_range ~min ~max
returns a random integer
between min
(inclusive) and max
(inclusive).
Both min
and max
are allowed to be negative;
min
must be less than or equal to max
.
If both bounds fit in 32-bit signed integers
(that is, if -231 <= min
and max
< 231),
then int_in_range
yields identical output
across systems with varying int
sizes.
Invalid_argument
if min > max
.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.
Invalid_argument
if bound
<= 0.val int32_in_range : min:int32 -> max:int32 -> int32
Random.int32_in_range ~min ~max
returns a random integer
between min
(inclusive) and max
(inclusive).
Both min
and max
are allowed to be negative;
min
must be less than or equal to max
.
Invalid_argument
if min > max
.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.
Invalid_argument
if bound
<= 0.val nativeint_in_range : min:nativeint -> max:nativeint -> nativeint
Random.nativeint_in_range ~min ~max
returns a random integer
between min
(inclusive) and max
(inclusive).
Both min
and max
are allowed to be negative;
min
must be less than or equal to max
.
Invalid_argument
if min > max
.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.
Invalid_argument
if bound
<= 0.val int64_in_range : min:int64 -> max:int64 -> int64
Random.int64_in_range ~min ~max
returns a random integer
between min
(inclusive) and max
(inclusive).
Both min
and max
are allowed to be negative;
min
must be less than or equal to max
.
Invalid_argument
if min > max
.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.
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 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
get_state()
returns a fresh copy of the current state of the
domain-local generator (which is used by the basic functions).
val set_state : State.t -> unit
set_state s
updates the current state of the domain-local
generator (which is used by the basic functions) by copying
the state s
into it.
val split : unit -> State.t
Draw a fresh PRNG state from the current state of the domain-local
generator used by the default functions.
(The state of the domain-local generator is modified.)
See Random.State.split
.