console
lean4
Our great sponsors
console | lean4 | |
---|---|---|
20 | 53 | |
3,172 | 3,739 | |
3.9% | 5.3% | |
8.5 | 9.9 | |
about 17 hours ago | about 23 hours ago | |
Rust | Lean | |
MIT License | Apache License 2.0 |
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.
console
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Rust Tooling: 8 tools that will increase your productivity
tokio-console is a debugger for Rust async programs that use Tokio. To get started, add the console-subscriber crate to your project and add the following line which will initialise the subscriber and allow tokio-console to connect to it:
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How to detect lock contention in rust?
You could try https://github.com/tokio-rs/console to debug and profile what happens with tokio tasks in your program.
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Using Rust at a startup: A cautionary tale
The tokio-console CLI is a fun one. The console-subscriber supports shipping to a console server running elsewhere, apparently. That gives you a window into what's happening now.
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Hey Rustaceans! Got a question? Ask here! (42/2022)!
Tokio console maybe? https://github.com/tokio-rs/console
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use both of tracing-subscriber and tokio-soncole
If I add "console_subscriber::init()" line as https://github.com/tokio-rs/console recommends, tracing_subscriber cannot be initialized.
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Any recommendations for profiling High performance rust code?
I'm building an HTTP load tester called pdc! I have run out of obvious (to me at least) places to look for performance gains. I'm achieving around 45,000 requests per second, per core. Right now I'm using hyper with a separate tokio runtime (in current thread mode) running on each core. So far having runtime on each core/NUMA node has really helped with cache coherency. Any recommendations for profiling beyond tokio console or tokio metrics (Convenient timing amirite!)?
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Announcing `tracing` 0.1.30 with experimental `valuable`support!
It was just an accident and has been fixed https://github.com/tokio-rs/console/issues/270.
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[Question] Is Tokio a poor fit for non-network related concurrent applications?
P.S. Tokio [now also has Tokio Console](https://github.com/tokio-rs/console) allowing you to conveniently troubleshoot your tasks if they are causing issues :)
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How do I profile a Rust web application in production?
You can opt-in to async runtime such as tokio, and you can use tokio-rs/console for it's top-like metric
- `tokio::spawn` to handle `actix` message doesn't wait?
lean4
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Dafny is a verification-aware programming language
Recently replaced by Lean, though.
https://github.com/cedar-policy/cedar-spec
https://lean-lang.org
- The Mechanics of Proof
- Natural Deduction in Logic (2015)
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The Wizardry Frontier
Nice read! Rust has pushed, and will continue to push, the limits of practical, bare metal, memory safe languages. And it's interesting to think about what's next, maybe eventually there will be some form of practical theorem proving "for the masses". Lean 4 looks great and has potential, but it's still mostly a language for mathematicians. There has been some research on AI constructed proofs, which could be the best of both worlds because then the type checker can verify that the AI generated code/proof is indeed correct. Tools like Kani are also a step forward in program correctness.
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Lean4 helped Terence Tao discover a small bug in his recent paper
Yeah, I believe they said intend for it to be used as a general purpose programming language. I used it to complete Advent of Code last year.
There are some really interesting features for general purpose programming in there. For example: you can code updates to arrays in a functional style (change a value, get a new array back), but if the refcount is 1, it updates in place. This works for inductive types and structures, too. So I was able to efficiently use C-style arrays (O(1) update/lookup) while writing functional code. (paper: https://arxiv.org/abs/1908.05647 )
Another interesting feature is that the "do" blocks include mutable variables and for loops (with continue / break / return), that gets compiled down to monad operations. (paper: https://dl.acm.org/doi/10.1145/3547640 )
And I'm impressed that you can add to the syntax of the language, in the same way that the language is implemented, and then use that syntax in the next line of code. (paper: https://lmcs.episciences.org/9362/pdf ). There is an example in the source repository that adds and then uses a JSX-like syntax. (https://github.com/leanprover/lean4/blob/master/tests/playgr... )
- A Linguagem Lua completa 30 anos!
- Lean 4.0
- Lean 4.0.0, first official lean4 release
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Looking to start a new community for people who want to use code for everything
My latest inspiration to use code to a) replace my video editor, b) learn the basics of EDM production and c) understand a few topics in higher maths. This might sound very strange given there are specialised tools for these jobs. There's iMovie / Adobe Premier for video, there's GarageBand and FL studio for music and old good pen and pencil for math proofs. But these tools have three big limitations. First they have a lot of idiosyncratic learning, you have to spend quite some time getting used to these tools and my experience is that this time is quite upsetting. In contrast, you only have to learn to code one, maybe spend a few hours getting used to the syntax of another language. I'm not sure if that's true for most people but it was true for me using the tools mentioned above and wanted a place to discuss and see other people ideas and experiments. The second issue is that all these custom-made tools, are not composing easily. I can't search for all math proofs that used a single theorem. I can't create a plugin for iMovie and apply it to all my videos. I can't pick easily pick a rhythm from the internet and build upon for fun. There's also the issue of costs and version control, all tools I'm using today are open source and my work is stored in my repositories. This way I can create branches and test my ideas and I'm also confident that I can work in these projects in years.
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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
What are some alternatives?
mirage - MirageOS is a library operating system that constructs unikernels
z3_tutorial - Jupyter notebooks for tutorial on the Z3 SMT solver
tracing - Application level tracing for Rust.
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.
loom - Concurrency permutation testing tool for Rust.
Agda - Agda is a dependently typed programming language / interactive theorem prover.
prost - PROST! a Protocol Buffers implementation for the Rust Language
ATS-Postiats - ATS2: Unleashing the Potentials of Types and Templates
evcxr
ts-sql - A SQL database implemented purely in TypeScript type annotations.
delve - Delve is a debugger for the Go programming language.
roc - A fast, friendly, functional language. Work in progress!