zephyrus-sc2-parser VS rust

This is insanely cool! Very impressed you managed to implement a full parser in Rust.

I implemented a basic one in Rust a while back: https://github.com/ZephyrBlu/rust-parser

And a full one in Python with a few bells and whistles ages ago: https://github.com/ZephyrBlu/zephyrus-sc2-parser

Don't maintain either of them though :(, and the Rust one is super rough.

SC2 is a very interesting area for data analysis, but at the same time I found it very challenging. There is so much nuance and inconsistency across games it can be really hard to do accurately do things like categorize builds or measure build timings.

The area I ended up focusing on was builds, and I feel like I did some interesting stuff there: https://sc2.gg/reports/top-openings-2022/.

I found personal statistics less interesting than aggregate statistics. Even pro games are very volatile, ladder games even more so. Extremely hard to get reliable signal out of them if you're trying to track things across games. Even simple things like Collection Rate are poor indicators without significant categorization work (Matchup, build, opponent build, etc).

There is the sc2reader parser which has been around for a while, and I also have a Python parser.

Check out this guy's work, he tracks a lot of details. https://app.zephyrus.gg/login https://github.com/ZephyrBlu/zephyrus-sc2-parser

This is one of the projects I've been working on for over a year: https://github.com/ZephyrBlu/zephyrus-sc2-parser.

I love analyzing SC2. I wrote my own replay parser, I created a replay analysis site (FYI this is an old video) and I regularly post graphics of stats/analyses such as:

This is the parser: https://github.com/ZephyrBlu/zephyrus-sc2-parser

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.