Kind
tlaplus
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Kind | tlaplus | |
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21 | 38 | |
2,565 | 2,208 | |
- | 1.5% | |
9.5 | 9.1 | |
over 1 year ago | 6 days ago | |
Rust | Java | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Kind
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Eliezer Yudkowsky has great news: "Parents conceiving today may have a fair chance of their kids living to see kindergarten."
As a developer of a proof assistant (Kind) I'm highly interested in this line of work. Can you point me to some of these papers? And perhaps people involved in this line of work?
- Somos os devs da HVM, o compilador Brasileiro que rodou o mundo. Vamos colocar nosso logo no /r/place?
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A list of new budding programming languages and their interesting features?
Kind: A modern proof language (though functional).
- Fornjot: A next-generation Code-CAD application
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How to handle list / contiguous array definition and implementation in a type system?
I have seen in languages like KindLang the definition of Array be like a Binary tree, but there is some magic there in the definition of the Array type that I don't understand yet. Also, I don't want to define the contiguous array further., it should be a literal contiguous array. The Kind "Word" type definition (arbitrary number of bytes) is closer to my contiguous array, but it has a similarly complex definition which like I said I don't understand.
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Type Checking as Calculation
Totally agree about the Blub Paradox, but there's definitely value in Self Types. See, for example, [Kind](https://github.com/Kindelia/Kind), which is able to type recursive data types by using Self Types.
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Please, keep in mind there is ZERO FUNDING for my projects.
For these who don't know, I'm the author of Kind and HVM. I've recently seen a criticism from an influent person in the community, who I often took as an inspiration, that made me really sad. "the guy behind this has built some impressive-sounding stuff before... it looks like his projects tend to just... go nowhere and he just abandons them and does something else?"
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Is it possible to make join work for arbitrary depths?
This is very easy with dependent types! For example, in Kind:
- A massively parallel, optimal functional runtime in Rust
- Eu acabei de lançar um dos "compiladores" mais rápidos do mundo. Apoiem o trabalho brasileiro!
tlaplus
- Ask HN: Usefulness of formal verification (Coq) and formal verification (TLA+)?
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Quint: A specification language based on the temporal logic of actions (TLA)
```
https://github.com/tlaplus/tlaplus/blob/master/tlatools/org....
In any case, our whole team thinks TLA is great, and we're happy people like you and Ron find it so useful and insightful. We also think it is a very insightful.
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Concurrent Data-structure Design Walk-Through
There are no tests! There are various ways to test concurrent data structures. You could use a stress test, where you spawn a lot of threads and let them mutate the map in a random way and then check the consistency of the map and some invariants. You could learn TLA+ and write a formal model of the map and then verify it.
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In Which I Claim Rich Hickey Is Wrong
Dafny and Whiley are two examples with explicit verification support. Idris and other dependently typed languages should all be rich enough to express the required predicate but might not necessarily be able to accept a reasonable implementation as proof. Isabelle, Lean, Coq, and other theorem provers definitely can express the capability but aren't going to churn out much in the way of executable programs; they're more useful to guide an implementation in a more practical functional language but then the proof is separated from the implementation, and you could also use tools like TLA+.
https://dafny.org/
https://whiley.org/
https://www.idris-lang.org/
https://isabelle.in.tum.de/
https://leanprover.github.io/
https://coq.inria.fr/
http://lamport.azurewebsites.net/tla/tla.html
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Programming Languages Going Above and Beyond
I wish something like Lamport's TLA+ (https://lamport.azurewebsites.net/tla/tla.html) was supported in modern language compilers - perhaps with annotations/macros and a mini formal DSL.
- Ask HN: How you understand TLA+ and how you use TLA+ in your projects?
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A collection of lock-free data structures written in standard C++11
Checking the invariant with assert is also useful in my limited experience with concurrency.
https://lamport.azurewebsites.net/tla/tla.html
- Ask HN: Is writing a math proof like programming without ever running your code?
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What I've Learned About Formal Methods in Half a Year
One advantage of formal methods is in determining "what was expected" (including all the goofy edge cases) without having to burrow into the details of code.
Take a look at Alloy (http://alloytools.org/) and TLA+ (https://lamport.azurewebsites.net/tla/tla.html) for example. (Or even the ancient Z ("Zed") notation (https://www.cs.cmu.edu/~15819/zedbook.pdf)).
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How do I get the set of process identifier of PlusCal?
The pcal generator does *not* generate a definition for the set of labels. However, some users have suggested to add such a feature: https://github.com/tlaplus/tlaplus/issues/613
What are some alternatives?
HVM - A massively parallel, optimal functional runtime in Rust
dafny - Dafny is a verification-aware programming language
opencascade.js - Port of the OpenCascade CAD library to JavaScript and WebAssembly via Emscripten.
coq - Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.
CascadeStudio - A Full Live-Scripted CAD Kernel in the Browser
apalache - APALACHE: symbolic model checker for TLA+ and Quint
urweb - The Ur/Web programming language
stateright - A model checker for implementing distributed systems.
awesome-rust-formalized-reasoning - An exhaustive list of all Rust resources regarding automated or semi-automated formalization efforts in any area, constructive mathematics, formal algorithms, and program verification.
awesome-programming-languages - The list of an awesome programming languages that you might be interested in
adventofcode - Advent of Code solutions of 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 in Scala