Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

bs-bastet

Package Overview
Dependencies
Maintainers
1
Versions
7
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

bs-bastet

A ReasonML/OCaml library for category theory and abstract algebra

  • 2.0.0
  • latest
  • Source
  • npm
  • Socket score

Version published
Maintainers
1
Created
Source

Bastet

npm Build Status Coverage Status Release

A ReasonML/OCaml library for category theory and abstract algebra.

Documentation

See documentation

Installation

Bucklescript/ReasonML

Install the project:

yarn install bs-bastet --save

And add the dependency to your bs-dependencies in bsconfig.json:

"bs-dependencies": [
  "bs-bastet"
]

The project will be available under the Bastet namespace

Native

Install the project:

opam install bastet

Examples

# #require "bastet";;
# open Bastet;;
# module T = Functors.ListF.Option.Traversable;;
module T = Bastet.Functors.ListF.Option.Traversable

# T.sequence [Some "foo"; Some "bar"];;
- : string list option = Some ["foo"; "bar"]

# Functors.ListF.Int.Show.show [1; 1; 2; 3; 5; 8];;
- : string = "[1, 1, 2, 3, 5, 8]"

Suggested Usage

Use kliesli composition

The monadic equivalent of the |> operator is flat_map (>>=). Both are very useful for writing code that's easy to reason about as data all flows in one direction.

However, function composition (>.) and kliesli composition for monads (>=>) are often underused in code. Composing functions and monads monoidally like this in a concatenative style can make a codebase easier to read and can also prevent devs on the team from duplicating code.

Consider a typical use case. Often in a codebase you have something that fetches a value that may or may not exist ('a option). Splitting out this code into smaller functions and combining (and reusing) them with composition leads a lean code style:

# let ((>=>)) = Option.Infix.((>=>));;
val ( >=> ) : ('a -> 'b option) -> ('b -> 'c option) -> 'a -> 'c option =
  <fun>

# type form = { name: string; address: string option };;
type form = { name : string; address : string option; }

# let get_form () =
  (* Assume some side effect got the form here *)
  Some { name = "Foo"; address = Some "123 Bar St." };;
val get_form : unit -> form option = <fun>

# let get_address form = form.address;;
val get_address : form -> string option = <fun>

# let get_form_address = get_form >=> get_address;;
val get_form_address : unit -> string option = <fun>

# get_form_address ();;
- : string option = Some "123 Bar St."

Instantiated Functors

For interfaces based on functors, use already instantiated functors if available to avoid the extra boilerplate:

# Functors.ArrayF.Int.Additive.Fold_Map.fold_map
- : ('a -> int) -> 'a array -> int = <fun>

Don't Overuse Infix

Don't overuse infix operators. If the code is combinatorial it can make it more readable, but in a lot of cases the prefix operators are simpler and easier to read. If you do use infix operators, prefer local opens over global opens to avoid polluting the toplevel:

# let trim_all strings =
  let open List.Infix in
  StringLabels.trim <$> strings;;
val trim_all : string list -> string list = <fun>

# trim_all ["foo "; "bar"; "   baz"];;
- : string list = ["foo"; "bar"; "baz"]

Use Abbreviated Modules

Abbreviated modules can make code both terser and easier to read in some situations, like for example where two different semigroups are used in the same function and infix operators can't be used:

# type game = { score: int; disqualified: bool };;
type game = { score : int; disqualified : bool; }

# let total_score a b =
  let module I = Int.Additive.Semigroup in
  let module B = Bool.Disjunctive.Semigroup in
  { score = I.append a.score b.score; disqualified = B.append a.disqualified b.disqualified };;
val total_score : game -> game -> game = <fun>

# let result =
  let game_1 = { score = 4; disqualified = false }
  and game_2 = { score = 2; disqualified = true }
  in
  total_score game_1 game_2;;
val result : game = {score = 6; disqualified = true}

License

See LICENSE

Keywords

FAQs

Package last updated on 21 Feb 2021

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc