elaboration-zoo
crates.io
elaboration-zoo | crates.io | |
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23 | 662 | |
562 | 2,802 | |
- | 1.0% | |
5.3 | 10.0 | |
4 months ago | about 16 hours ago | |
Haskell | Rust | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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elaboration-zoo
- Dependent types do’s and don’ts
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How to implement dependent type theory I (2012)
I've noticed amongst many peers that when going down the type theory/pl theory journey there is a ton of hidden knowledge and context we all find ourselves collecting.
All of this knowledge and context spread amongst a common set of books, papers, blog posts, and git repos floating around the internet.
At the risk of creating yet another partial silo, I decided earlier this year to create a project similar to the [Elaboration Zoo](https://github.com/AndrasKovacs/elaboration-zoo) but focused on a blessed path to MLTT with a number of the desirable language features via bidirectional typechecking.
https://github.com/solomon-b/lambda-calculus-hs
The project is incomplete and my end goal is a website like the [1 Lab](https://1lab.dev) but focused on Type Theory and PL Theory, but I ran low on steam and could use some collaborators.
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How to implement dependent types in 80 lines of code
Thanks, yeah, I haven't benchmarked the implementation yet, and I see the repeated substitution happening. Would the NbE approach where we have indices for terms and levels for values fix the issue (I believe you wrote the implementation here)?
I find the NbE approach that combines both indices and levels quite appealing. You remain first-order (easier for debugging and etc.), but no need to define substitution now.
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Online courses that use, but don't teach, Haskell?
If you're interested in dependent types, you might like András Kovács' elaboration zoo, which uses Haskell as the implementation language.
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A personal list of Rust grievances
I think it's more a reflection of how Rust evolved, and the techniques and approaches known and understood at the time and the strangeness budget they were (understandably) willing to take on at the time as opposed to something inherent. And also sometimes having separate, complicated features for similar things (as opposed to simple features that compose powerfully) can be useful pedagogically as well.
At any rate, this is something I'm interested in, and so that's why it appears so high up on my list. Often you really do want sub-languages for different purposes, but managing how they interact and work together, what is the same and what is different, and how that impacts usability is interesting (and difficult) part. I feel like it should be possible to do this, but it's going to take some work and there's still lots of unknowns.
In technical terms, I'm interested in dependently typed module systems, multistage programming[1], graded modal type theory[2], elaborator reflection, and two level type theory[3]. These all sound pretty intimidating, but you can actually see glimmers of some of this stuff in how Zig handles type parameters and modules, for example, something that most programmers really like the first time they see it!
I do feel like there is the core of a simple, flexible, powerful systems language out there... but finding it, and making it approachable while maintaining a solid footing in the theory and being sensitive to the practical demands of systems programming is a nontrivial task, and many people will be understandably skeptical that this is even a good direction to pursue. Thankfully the barrier to entry for programming language designers to implementing languages in this style has reduced significantly in just the last number of years[4], so I have hope that we might see some interesting stuff in the coming decade or so. In the meantime we have Rust as well, which is still an excellent language. I'm just one of those people who's never content with the status quo, always wishing we can push the state of the art further. This is why I got excited by Rust in the first place! :)
[1]: https://github.com/metaocaml/metaocaml-bibliography
[2]: https://granule-project.github.io/
[3]: https://github.com/AndrasKovacs/staged
[4]: https://github.com/AndrasKovacs/elaboration-zoo/
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Reference Implementation for MLF
Another option is this algorithm by Andras Kovacs dubbed "Dynamic order elaboration": https://github.com/AndrasKovacs/elaboration-zoo/tree/master/06-first-class-poly . Basically if you are checking a term against a bare meta variable, then postpone the checking until the meta variable has a solution.
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purescript-backend-optimizer - A new optimization pipeline and modern-ES backend for PureScript.
Special shout out to /u/AndrasKovacs and elaboration-zoo (as well as their various NbE notes) which served as a primary inspiration for the architecture. Can't thank you enough for those resources!
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Barebones lambda cube in OCaml
Highly recommend checking the first part of elaboration-zoo to see how all this might be implemented, it clears a lot of things up.
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Peridot MVP
Pattern unification
crates.io
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Create a Custom GitHub Action in Rust
Rust has a rich ecosystem of frameworks and libraries that let you read, parse, and manipulate text files, interact with cloud services and databases, and perform any other job that your project's development workflow may require. And because of its strong typing and tight memory management, you are much less likely to write programs that behave unexpectedly in production.
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Rust Keyword Extraction: Creating the YAKE! algorithm from scratch
All the code discussed in this article can be accessed through this repository. For integration with existing projects consider using keyword_extraction crate available on crates.io.
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Migrating a JavaScript frontend to Leptos, a Rust framework
So, be sure to double-check your critical libraries and be sure their alternatives exist in the Rust ecosystem. There’s a good chance the crates you need are available in Rust's crates.io repository.
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Learning Rust: A clean start
The previous section was very simple, this section is also very simple but introduces us to cargo which is Rust's package manager, as a JS dev my mind goes straight to NPM.
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#2 Rust - Cargo Package Manager
Now, there has to be a place where all these packages come from. Similar to npmjs registry, where all node packages are registered, stored and retrieved, Rust also has something called crates.io where many helpful packages and dependencies are registered.
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Rust 🦀 Installation + Hello World
Before proceeding, let's check https://crates.io/, the official Rust package registry.
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Underestimating rust for my Project.
The most thrilling aspect has been the joy of writing the backend. It's like every struct, enum, and method in Rust forms this interconnected Multiverse of code , which you can see in crates.io which is best Documentation experience I Ever Had.
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Top 10 Rusty Repositories for you to start your Open Source Journey
5. Crates.io
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Project Structure Clarification Coming From Python - With Example
When using crates from eg. crates.io, and also things like std and core
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Cargo has never frustrated me like npm or pip has. Does Cargo ever get frustrating? Does anyone ever find themselves in dependency hell?
Vendoring your packages was very tedious to even remotely get to work with Cargo. I spent a very long time getting Cargo to work together with cargo-local-registry. We vendor crates from crates.io and a custom internal registry.
What are some alternatives?
StepULC - Efficient and single-steppable ULC evaluation algorithm
docs.rs - crates.io documentation generator
pi-forall - A demo implementation of a simple dependently-typed language
plotters - A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
tinka
Cargo - The Rust package manager
peridot - A fast functional language based on two level type theory
trunk - Build, bundle & ship your Rust WASM application to the web.
higher-order-unification - A small implementation of higher-order unification
gtk4-rs - Rust bindings of GTK 4
iterator_item - A syntax exploration of eventually stable Rust Iterator items
Rocket - A web framework for Rust.