This framework, developed for and implemented by the CDuce programming language, provides a type system centered on the use of settheoretic types (unions, intersections, negations) that satisfy the commutativity and distributivity properties of the corresponding set-theoretic operations. We present a gradual type system for Elixir, based on the framework of semantic subtyping. Rust is trailing closely behind but it's also a fact that its LS is objectively slower - still, they seem to have made a lot of strides on that front lately and it's much better compared to even one year ago.Īs per what makes it unique, from the paper: It's simply a joy coding in those languages with their LS. They just work and are amazingly fast to boot. full-blown IDE refactoring has never been a problem for me or any other Elixir dev I know.Īll that being said, literally nothing I have ever saw was able to beat Golang's and OCaml's language servers. You won't find yourself working on projects with millions of lines in Elixir ever, and thus not having e.g. I don't disagree that IDE support can look subpar but I'd also venture a guess that proper IDE support is very first-world problem. I use that in NeoVim instead and it works near-instantly.
#Average typing speed keystrokes per hour update#
I had that problem with NeoVim's Mason plugin that manages language servers, then I just cloned `elixir-ls` and made a super small script to update it daily from GitHub and recompile it.
> It's often painfully slow to respond even in small project I'd go as far as to say that any language supported by Jetbrains has better tooling than Elixir does. Javascript, Typescript have immaculate tooling in this regard, same goes for Java, C#, Go, even Python (on IDE side, the package management situation is of course a dumpster fire). elixir_ls _build` which sometimes works, but usually not. If you run into any kind of issue with it, the boilerplate response it always: Try running `rm -rf. It's often painfully slow to respond even in small project, it often gets stuck in obscure failures that require an editor reload to get it fully working again. ElixirLS has never worked quite right for me, or most other Elixir developers I know. When I say "tooling", I'm talking about language servers and overall editor support.Īs much as I appreciate the work the team has done, I think we have to be honest about the good and bad parts. Elixir tooling is in my opinion one of the only sore spots of the ecosystem and its quality is seriously lagging behind the vast majority of other languages. I love Elixir, I use it daily, but I have to disagree. This paper pushes the boundaries of what we understand about type systems in programming languages, Elixir is going to be the first general purpose language to implement such a type system. These insights could have far-reaching implications for the development of more expressive and precise programming languages. The paper concludes with an overview of other aspects of these languages, such as pattern matching, gradual typing, and denotational semantics. The author presents three effective restrictions of this system, each with its own trade-offs, which could potentially guide the design of future programming languages. This is a limitation that could impact the development and efficiency of certain programs. One of the key takeaways from this paper is that current programming languages are unable to infer intersection types for functions without explicit annotations. The paper also discusses the design of languages that use these types and presents a theoretical framework that covers all the examples given in the presentation. This is a significant step forward as it allows for a more expressive and precise type system. What sets this work apart is the extension of the theory of types known as semantic subtyping to include polymorphic types.
The author argues that these types are not just useful, but necessary for typing some common programming patterns, and they play a crucial role in precisely typing various language constructs, from branching and pattern matching to function overloading and type-cases.
This research paper by Giuseppe Castagna presents an in-depth exploration of programming with set-theoretic types, which include union, intersection, and negation type connectives.
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