a-mir-formality VS rust

Racket is very used in the PLT community (programming language theory) for prototyping programming languages. Lots of cool stuff in this area.

For example, the MIR formality [0] project of the Rust programming language to formalize MIR (their intermediate language) was first prototyped in Racket [1], then rewritten in Rust. [1]'s readme give a rationale:

> For the time being, the model is implemented in PLT Redex. PLT Redex was chosen because it is ridiculously accessible and fun to use. It lets you write down type system rules and operational semantics and then execute them, using a notation that is very similar to what is commonly used in published papers. You can also write collections of unit tests and fuzz your model by generating test programs automatically.

> The hope is that PLT Redex will prove to be a sufficiently accessible tool that many Rust contributors will be able to understand, play with, and extend the model.

> One downside of PLT Redex is that it doesn't scale naturally to performing proofs. We may choose to port the model to another system at some point, or maintain multiple variants.

[0] https://github.com/rust-lang/a-mir-formality

[1] https://github.com/rust-lang/a-mir-formality/tree/1f40120f09...

But MIR optimizations are a bit of a mess right now. The semantics of MIR are not completely settled but that is an area of active work: https://github.com/nikomatsakis/a-mir-formality

That's happening separately, in the "mir-formality" project: https://github.com/nikomatsakis/a-mir-formality

The two projects are related, but have different objectives (mir-formality includes traits and borrow checking, while MiniRust focuses on operational semantics).

If you haven't dipped your touch-typing fingers into Rust yet, you really owe it to yourself. Rust is a modern programming language with features that make it suitable not only for systems programming -- its original purpose, but just about any other environment, too; there are frameworks that let your build web services, web applications including user interfaces, software for embedded devices, machine learning solutions, and of course, command-line tools. Since a custom GitHub Action is essentially a command-line tool that interacts with the system through files and environment variables, Rust is perfectly suited for that as well.

Here's an example of someone citing a disagreement between CRT and shell32:

https://github.com/rust-lang/rust/issues/44650

This in addition to the Rust CVE mentioned elsewhere in the thread which was rooted in this issue:

https://blog.rust-lang.org/2024/04/09/cve-2024-24576.html

Here are some quick programs to test contrasting approaches. I don't have examples of inputs where they parse differently on hand right now, but I know they exist. This was also a problem that was frequently discussed internally when I worked at MSFT.

    #include 

> instead of choosing a certain numbered version of the random library (if I remember correctly) I let cargo download the latest version which had a completely different API.

Yeah, they didn't follow the instructions and got burned. I still think that multiple things went wrong simultaneously for that experience. I wonder if more prevalent uses of `#[doc(alias = "name")]` being leveraged by https://github.com/rust-lang/rust/pull/120730 (which now that I check only accounts for methods and not functions, I should get on that!) so that when changing APIs around people at least get a slightly better experience.

Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325

Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.

Recently did something similar in Rust but for generating SVGs. We've adopted it for snapshot testing of cargo and rustc's output. Don't have a good PR handy for showing Github's rendering of changes in the SVG (text, side-by-side, swiping) but https://github.com/rust-lang/rust/pull/121877/files has newly added SVGs.

To see what is supported, see the screenshot in the docs: https://docs.rs/anstyle-svg/latest/anstyle_svg/

We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.

The above Assert<{N % 2 == 1}> requires #![feature(generic_const_exprs)] and the nightly toolchain. See https://github.com/rust-lang/rust/issues/76560 for more info.