BatRandom.State
Manipulate the current state of the random generator.
This allows using one or several deterministic PRNGs, even in a multi-threaded program, without interference from other parts of the program.
val make : int array -> t
Create a new state and initialize it with the given seed.
val make_self_init : unit -> t
Create a new state and initialize it with a system-dependent low-entropy seed.
val bits : t -> int
val int : t -> int -> int
val full_int : t -> int -> int
val int_in_range : t -> min:int -> max:int -> int
val int32 : t -> Stdlib.Int32.t -> Stdlib.Int32.t
val int32_in_range : t -> min:int32 -> max:int32 -> int32
val nativeint : t -> Stdlib.Nativeint.t -> Stdlib.Nativeint.t
val nativeint_in_range : t -> min:nativeint -> max:nativeint -> nativeint
val int64 : t -> Stdlib.Int64.t -> Stdlib.Int64.t
val int64_in_range : t -> min:int64 -> max:int64 -> int64
val float : t -> float -> float
val bool : t -> bool
val char : t -> char
These functions are the same as the basic functions, except that they use (and update) the given PRNG state instead of the default one.
val bits32 : t -> Stdlib.Int32.t
val bits64 : t -> Stdlib.Int64.t
val nativebits : t -> Stdlib.Nativeint.t
Draw a fresh PRNG state from the given PRNG state. (The given PRNG state is modified.) The new PRNG is statistically independent from the given PRNG. Data can be drawn from both PRNGs, in any order, without risk of correlation. Both PRNGs can be split later, arbitrarily many times.
val to_binary_string : t -> string
val of_binary_string : string -> t