MoreLabels.Set(3)
π MoreLabels.Set π
okay bestie, so the manual name is OCaml library and we are literally about to get into it. no cap.
NAME
MoreLabels.Set β no description (and honestly? iconic mystery vibe, we love a minimal queen π)
Module
Module MoreLabels.Set
Documentation
Module Set : sig end
Sets over ordered types. slay.
This module implements the set data structure, given a total ordering function over the set elements. and when I say all operations over sets are purely applicative (no side-effects), I mean it β no sneaky mutations, no funny business, just immaculate functional energy β¨. The implementation uses balanced binary trees, and is therefore reasonably efficient: insertion and membership take time logarithmic in the size of the set, for instance. lowkey obsessed with that efficiency, ngl πΈ.
The MoreLabels.Set.Make functor constructs implementations for any type, given a compare function. For instance:
module IntPairs =
struct
type t = int * int
let compare (x0,y0) (x1,y1) =
match Stdlib.compare x0 x1 with
0 -> Stdlib.compare y0 y1
| c -> c
end
module PairsSet = Set.Make(IntPairs)
let m = PairsSet.(empty |> add (2,3) |> add (5,7) |> add (11,13))
This creates a new module PairsSet , with a new type PairsSet.t of sets of int * int . fr fr, it's giving main character module energy π
module type OrderedType = sig end
Input signature of the functor MoreLabels.Set.Make . this is the vibe check you gotta pass, bestie π
module type S = sig end
Output signature of the functor MoreLabels.Set.Make . this is what you get back and it ate π₯
module Make : (Ord : OrderedType) -> sig end
Functor building an implementation of the set structure given a totally ordered type. so you bring the ordering, it brings the balanced trees, and together we slay π π
mwah π this manual page was brought to you by OCamldoc on 2026-06-22, and yes she's still serving MoreLabels.Set(3) realness to this very day. periodt π«Άπ
π¦ where this page comes from
- arch rolling: ocaml 5.5.0-1 Β· LGPL2.1 AND custom: QPL-1.0
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms