Module Random
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.
- Before 5.0 Random value generation used a different algorithm. This affects all the functions in this module which return random values.
Basic functions
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.
-
Raises
Invalid_argument
ifbound
<= 0 orbound
>= 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
.
- Since 4.13
-
Raises
Invalid_argument
ifbound
<= 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.
- Since 5.2
-
Raises
Invalid_argument
ifmin > 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.
-
Raises
Invalid_argument
ifbound
<= 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
.
- Since 5.2
-
Raises
Invalid_argument
ifmin > 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.
-
Raises
Invalid_argument
ifbound
<= 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
.
- Since 5.2
-
Raises
Invalid_argument
ifmin > 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.
-
Raises
Invalid_argument
ifbound
<= 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
.
- Since 5.2
-
Raises
Invalid_argument
ifmin > 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
.
- Since 4.14
val bits64 : unit -> Int64.t
Random.bits64 ()
returns 64 random bits as an integer between Int64.min_int
and Int64.max_int
.
- Since 4.14
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
.
- Since 4.14
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
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
.
- Since 5.0
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https://ocaml.org/manual/5.2/api/Random.html