module Random:Pseudo-random number generators (PRNG).`sig`

..`end`

`val init : ``int -> unit`

Initialize the 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 generator with a more-or-less random seed chosen
in a system-dependent way.

`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 2`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.`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.`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.`val float : ``float -> float`

`Random.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.`val bool : ``unit -> bool`

`Random.bool ()`

returns `true`

or `false`

with probability 0.5 each.The functions from module

`State`

manipulate the current state
of the random generator explicitely.
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`

Return the current state of the generator used by the basic functions.

`val set_state : ``State.t -> unit`

Set the state of the generator used by the basic functions.