This is a slightly modified version of the OCaml standard library's random.mli. We
want Base's Random module to be different from OCaml's standard one:
Random.State.default, so that user code can easily share the default
random state if it wants.Random.get_state, because it misleadingly makes a copy of random
state. And it is what people naturally, albeit incorrectly, grab for when they want
to use shared random state.The fact that we construct our own default random state means that code using Core.Random and code using OCaml's Random will not share the default state.
Pseudo-random number generators (PRNG).
Note that all of these "basic" functions mutate a global random state.
val init : int ‑> unitInitialize the generator, using the argument as a seed. The same seed will always yield the same sequence of numbers.
val self_init : ?allow_in_tests:bool ‑> unit ‑> unitInitialize the generator with a more-or-less random seed chosen in a system-dependent
way. By default, self_init is disallowed in inline tests, as it's often used for no
good reason and it just creates non deterministic failures for everyone. Passing
~allow_in_tests:true removes this restriction in case you legitimately want
non-deterministic values, like in Filename.temp_dir.
val bits : unit ‑> intReturn 30 random bits in a nonnegative integer.
val int : int ‑> intRandom.int bound returns a random integer between 0 (inclusive) and bound
(exclusive). bound must be greater than 0.
val int32 : int32 ‑> int32Random.int32 bound returns a random integer between 0 (inclusive) and bound
(exclusive). bound must be greater than 0.
val nativeint : nativeint ‑> nativeintRandom.nativeint bound returns a random integer between 0 (inclusive) and bound
(exclusive). bound must be greater than 0.
val int64 : int64 ‑> int64Random.int64 bound returns a random integer between 0 (inclusive) and bound
(exclusive). bound must be greater than 0.
val float : float ‑> floatRandom.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.
module State : sig ... endThe 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.