prusti-dev
Pluto.jl
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prusti-dev | Pluto.jl | |
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23 | 78 | |
1,459 | 4,868 | |
1.9% | - | |
8.8 | 9.4 | |
7 days ago | 1 day ago | |
Rust | JavaScript | |
GNU General Public License v3.0 or later | MIT License |
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prusti-dev
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Using_Prolog_as_the_AST
> The overall goal would be to figure out classical error conditions like nill pointers deference.
> If I can figure out if a pointer will be nil in some execution branch, there is no reason why a computer cannot do the same.
Note, this is called flow-sensitive typing (also called type narrowing) and I think that typescript does it.
https://en.wikipedia.org/wiki/Flow-sensitive_typing
> I personally would see this as an human race level upgrades. Imagine feeding your code to a CI that spit back something like: "you will have a panic at line 156 when your input is > 4"
A model checker can do that!
See this
https://model-checking.github.io/kani/tutorial-kinds-of-fail...
Other techniques are also possible
https://github.com/viperproject/prusti-dev#quick-example
(Here I could link a lot of things, I just selected two Rust projects to illustrate)
This works better if you are able to provide contracts in your API that says which guarantees you provide. Alternatively, asserts are useful too.
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Programming Languages Going Above and Beyond
You might be interested in the Prusti project, which statically checks for absence of reachable panics, overflows etc. It also allows user-defined specifications such as pre and post-conditions, loop body invariants, termination checking and so on.
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Trying to find a crate that allows you to constrain the value of arguments in various ways via a proc macro
This is called refinement types and prusti might be the project you saw.
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rustc-plugin: A framework for writing plugins that integrate with the Rust compiler
But there's also a lot of exciting work around formal verification like Prusti.
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Is there something like "super-safe" rust?
prusti
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A plan for cybersecurity and grid safety
Efforts: seL4, Project Everest, the Prossimo project of the ISRG, Let's Encrypt, and Prusti for the Rust language
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Prop v0.42 released! Don't panic! The answer is... support for dependent types :)
Wow that sounds really cool! I'm not an expert but does that mean that one day you could implement dependend types or refinement types in Rust as a crate ? I currently only know of tools like: Flux Creusot Kani Prusti
- Prusti: Static Analyzer for Rust
Pluto.jl
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Potential of the Julia programming language for high energy physics computing
I thought that notebook based development and package based development were diametrically opposed in the past, but Pluto.jl notebooks have changed my mind about this.
A Pluto.jl notebook is a human readable Julia source file. The Pluto.jl package is itself developed via Pluto.jl notebooks.
https://github.com/fonsp/Pluto.jl
Also, the VSCode Julia plugin tooling has really expanded in functionality and usability for me in the past year. The integrated debugging took some work to setup, but is fast enough to drop into a local frame.
https://code.visualstudio.com/docs/languages/julia
Julia is the first language I have achieved full life cycle integration between exploratory code to sharable package. It even runs quite well on my Android. 2023 is the first year I was able to solve a differential equation or render a 3D surface from a calculated mesh with the hardware in my pocket.
- Pluto.jl: Simple, reactive programming environment for Julia
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Ask HN: Why don't other languages have Jupyter style notebooks?
Re Julia there is also pluto.jl that is another notebook-like environment for julia. It's been a few years since I played with it but it looked cool, for example it handles state differently so you don't get into the same messes as with ipython notebooks. https://plutojl.org/
- Pluto: Simple Reactive Notebooks for Julia
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Looking for a Julia gui framework with a demo like EGUI
For this, Notebooks are often used. Julia offers a uniquely nice and interactive Pluto notebook for the web https://github.com/fonsp/Pluto.jl
- Excel Labs, a Microsoft Garage Project
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IPyflow: Reactive Python Notebooks in Jupyter(Lab)
I believe this is what Pluto sets out to do for Julia.
I used it as part of the āComputational Thinkingā with Julia course a year or two back. Even then the beta software was very good and some of the demos the Pluto dev showed were nothing short of amazing
- For Julia is there some thing like VSCode's python interactive window?
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What have you "washed your hands of" in Python?
I think what you want is Pluto!
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Show HN: Out of order execution in Jupyter notebooks is a solved problem
I like how Pluto.jl handles this:
> Pluto offers an environment where changed code takes effect instantly and where deleted code leaves no trace. Unlike Jupyter or Matlab, there is no mutable workspace, but rather, an important guarantee:
> At any instant, the program state is completely described by the code you see.
What are some alternatives?
MIRAI - Rust mid-level IR Abstract Interpreter
vim-slime - A vim plugin to give you some slime. (Emacs)
kani - Kani Rust Verifier
rmarkdown - Dynamic Documents for R
Rudra - Rust Memory Safety & Undefined Behavior Detection
Weave.jl - Scientific reports/literate programming for Julia
automem - C++-style automatic memory management smart pointers for D
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
tectonic - A modernized, complete, self-contained TeX/LaTeX engine, powered by XeTeX and TeXLive.
IJulia.jl - Julia kernel for Jupyter
rust - Empowering everyone to build reliable and efficient software.
Tables.jl - An interface for tables in Julia