Stdlib.RandomPseudo-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.
Initialize the domain-local 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 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).
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 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 Stdlib.Invalid_argument.
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.
Random.int32 bound returns a random integer between 0 (inclusive) and bound (exclusive). bound must be greater than 0.
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.
val nativeint : Nativeint.t -> Nativeint.tRandom.nativeint bound returns a random integer between 0 (inclusive) and bound (exclusive). bound must be greater than 0.
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.
Random.int64 bound returns a random integer between 0 (inclusive) and bound (exclusive). bound must be greater than 0.
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.
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.tRandom.bits32 () returns 32 random bits as an integer between Int32.min_int and Int32.max_int.
val bits64 : unit -> Int64.tRandom.bits64 () returns 64 random bits as an integer between Int64.min_int and Int64.max_int.
val nativebits : unit -> Nativeint.tRandom.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 ... endval get_state : unit -> State.tget_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 -> unitset_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.tDraw 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.