inkwell VS clojure

Secondly, I have learned about LLVM, and I have learned about the Inkwell library on Rust (It's a New Kind of Wrapper for Exposing LLVM (Safely)). Has anyone used this library before? Is this a good practice? Is it suitable for my compiler? Can I write some optimization passes of my own using this library?

I am trying to use the inkwell Rust crate for working with LLVM. In Cargo.toml, I have specified the LLVM version using features = ["llvm15-0"]

inkwell is a great llvm binding for rust and it has an implementation of kaleidoscope

I'm working on a compiler that uses the LLVM wrapper Inkwell for compilation. In order to compile something in inkwell, unless I'm missing something (which I very well might be), you need two structs:

Compiler backends (If building JIT/machine compiled langauges) 1. cranelift 2. inkwell - safe rust wrapper around llvm

Haha small world. I think we go to the same university and I took the same or similar course a few years ago. If somebody hasn't done the work for you, you may have to do some instrumentation yourself depending on what you want to track IMO https://github.com/TheDan64/inkwell is the best LLVM wrapper for Rustland (Python's llvmlite is a bit easier to use though)

I'm currently using the Inkwell bindings for Rust, which I've found actually pretty nice. In terms of generating LLVM IR, the C bindings (which is what Inkwell uses internally) can do anything you want them to (definitely not limited to trivial languages as someone else here said.) I'm even using the LLVM garbage collection infrastructure, with no problems (well, no problems in generating it; the LLVM GC infrastructure works pretty well but is sparsely documented, so actually writing a GC is fairly difficult, but it's doable). The C bindings are actually more stable than the C++ bindings (!), although not quite as stable as the textual IR format; but without the bindings you would have to write code to generate the IR yourself, the compiler would be slower as it must be emitted as text and then reparsed in a different process, and you would have less control over optimization.

safe llvm bindings https://github.com/TheDan64/inkwell

As we reviewed in this article LLVM IR has many use-cases and allows us to analyze and optimize source code through its passes. Knowing IR language itself will help us to write our passes and build projects around it for debugging, testing, optimizing. Currently, LLVM IR doesn't have Rust API. It's mainly used through the C++ library. However, some user-created repos are available on crates.io. There is a Rust binding to LLVM's C API - llvm-sys and two other, more Rusty APIs that are using LLVM: inkwell and llvm-ir. And finally, if you want to learn how to write a LLVM pass you should start here.

This article will explain how to write a simple service in Clojure. The sweet spot of making applications in Clojure is that you can expressively use an entire rich Java ecosystem. Less code, less boilerplate: it is possible to achieve more with less. In this example, I use most of the libraries from the Java world; everything else is a thin Clojure wrapper around Java libraries.

5. Clojure - $96,381

I have a tangential question that is related to this cool new feature.

Warning: the question I ask comes from a part of my brain that is currently melted due to heavy thinking.

Context: I write a fair amount of Clojure, and in Lisps the code itself is a tree. Just like this F# parallel graph type-checker. In Lisps, one would use Macros to perform compile-time computation to accomplish something like this, I think.

More context: Idris2 allows for first class type-driven development, where the types are passed around and used to formally specify program behavior, even down to the value of a particular definition.

Given that this F# feature enables parallel analysis, wouldn't it make sense to do all of our development in a Lisp-like Trie structure where the types are simply part of the program itself, like in Idris2?

Also related, is this similar to how HVM works with their "Interaction nets"?

https://github.com/HigherOrderCO/HVM

https://www.idris-lang.org/

https://clojure.org/

I'm afraid I don't even understand what the difference between code, data, and types are anymore... it used to make sense, but these new languages have dissolved those boundaries in my mind, and I am not sure how to build it back up again.

As an analogy - my face hasn't changed all that much in a past few years, and I haven't changed my profile picture in those few years. Does it really mean that I'm unmaintained/dead?

> Where can I find latest documentation [...]?

The answer is still https://clojure.org/. And https://clojuredocs.org/ but it's community-maintained so might occasionally be missing some things right after they're released. E.g. as of this moment Clojure 1.11 is still not there since the maintainer of the website has some technical issues deploying the updated version of the website.

For me personally, the best API-level documentation is the source code.

> Where can I find [...] tools / libraries in a easy to use page or section?

There's no central repository of all the available things since they can be loaded from many places (Clojars, Maven Central, other Maven repositories, S3, Git, local files).

But there are community-maintained lists, like the one you've mentioned at https://www.clojure-toolbox.com (fully manual, AFAIK) or the one at https://phronmophobic.github.io/dewey/search.html (automated but only for GitHub). Perhaps there are others but I'm not familiar with them - most of the time, I myself don't find that much value in such services as I'm usually able to find things with a regular web search engine or ask the community when I need something in particular.

They are written in Java, and implement a bunch of interfaces, so the implementation looks complicated, but they are basically just classes with head and tail fields.

https://github.com/clojure/clojure/blob/master/src/jvm/cloju...

Like this.

As a Java/Scala user you should check out Clojure! It is highly recommended (https://clojure.org)

Lisp is not a programming language, but a family of languages ​​with many dialects. The most famous dialects include Common Lisp, Clojure, Scheme and Racket. So after deciding that I was going to learn Lisp, I had to choose one of its dialects.

I learned Clojure to implement a plugin for Metabase (the tool my former company used for creating business dashboards). I probably won’t ever use the language anymore in the future, but learning functional programming was fun and eye-opening.