package stdlib-random

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Versioned Random module from the OCaml standard library

Install

Dune Dependency

github.com Readme Edit opam file Versions (3)

Authors

Maintainers

F

Florian Angeletti, <octa@polychoron.fr>

Sources

1.0.0.tar.gz

md5=20ac8f09a6c8a15cdcd58ff57b96fb4a

sha512=ebc6ee3996d23efb1b25a1adad0ca46941c9040094761ecb2cbd0880518a41323bf0f4fc9184fa330c8b8c2089a6759437ce4d0449653a5ad46d4c06dee740c9

doc/stdlib-random.v5/Random5/State/index.html

Module `Random5.State`Source

Sourcetype t

The type of PRNG states.

Sourceval make : int array -> t

Create a new state and initialize it with the given seed.

Sourceval make_self_init : unit -> t

Create a new state and initialize it with a random seed chosen in a system-dependent way. The seed is obtained as described in Random5.self_init.

Sourceval copy : t -> t

Return a copy of the given state.

Sourceval bits : t -> int

Sourceval int : t -> int -> int

Sourceval full_int : t -> int -> int

Sourceval int32 : t -> Int32.t -> Int32.t

Sourceval nativeint : t -> Nativeint.t -> Nativeint.t

Sourceval int64 : t -> Int64.t -> Int64.t

Sourceval float : t -> float -> float

Sourceval bool : t -> bool

Sourceval bits32 : t -> Int32.t

Sourceval bits64 : t -> Int64.t

Sourceval nativebits : t -> Nativeint.t

These functions are the same as the basic functions, except that they use (and update) the given PRNG state instead of the default one.

Sourceval split : t -> t

Draw a fresh PRNG state from the given PRNG state. 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.