RIIR VS ziglyph

It was, imo, inflated by the comments pointing to the RiiR sentiments, not the comments to that effect itself. Even repositories 'collecting' such instances (e.g. https://github.com/ansuz/RIIR) are largely not collections of making anyone to change their own software but just projects that happen to be written in Rust. (these out-of-scope issues are not being tagged appropriately). Overhyped controversy by all sides.

Dunno what news you have missed but there's entire internet brigades dedicated sorely to spam projects with "rewrite it in rust". There's even a repo documenting this.

The OP post in the link references https://transitiontech.ca/random/RIIR (Rewrite it in Rust) as a meme.

Yes, one can hope, but I wouldn't bet on it and I wouldn't suggest to RIIR. I don't want to be that person that pops up uncalled for and asks to Rewrite It In Rust. One might think "Oh it is just one additional issue to the ~2.2k already opened mypy issues" if they have at all realized that there are that many open issues.

It's died down a bit now, but there is/was a non-trivial amount of stupidity from Rust advocates whenever someone ran into a memory problem with C/C++ to "re-write it in rust" or to just rewrite things in general. (IE https://transitiontech.ca/random/RIIR)

Or even better, RIIR the Windows kernel!

What is it with people asking for rust rewrites of Xorg this week? https://github.com/ansuz/RIIR/issues/83

The second language is Rust, and I went with that partly because rewriting C in Rust is a meme in itself, and in part because it was much easier to think of how to nicely fix that bug in Rust than it was in C (just add a = to the range to be end-inclusive).

> My big problem with Zig is that Andrew Kelley is promising a lot of features, but doesn't really deliver much.

Have you, like, seen the release notes for 0.9.0?

https://ziglang.org/download/0.9.0/release-notes.html

> Zig still can't proper handle UTF-8 strings [1] in 2022

There's plenty of discussion on the subject in basically every HN thread about Zig: the stdlib has some utf8 and wtf validation code, ziglyph implements the full unicode spec.

https://github.com/jecolon/ziglyph

You might not like how it's done, but its factually incorrect to state that Zig can't handle unicode.

> In a `recent` interview[2], he claims that Zig is faster than C and Rust, but he refers to extremely short benchmarking that has almost no value in the real world.

From my reddit reply to this same topic:

This podcast interview might not be the best showcase of the practical implications of Zig's take on safety and performance. If you want something with more meat, I highly recommend Andrew's recent talk from Handmade Seattle, where he shows the work being done on the Zig self-hosted compiler.

https://media.handmade-seattle.com/practical-data-oriented-d...

Lots of bit fiddling that can't be fully proven safe statically, but then you get a compiler capable of compiling Zig code stupidly fast, and that's even without factoring in incremental compilation with in-place binary patching, with which we're aiming for sub-millisecond rebuilds of arbitrarily large projects.

> The ecosystem for zig is insignificant now and a stable release would help the language.

I hope you don't mind if we don't take this advice, given the overall tone of your post.

For Unicode text processing you can take a look at Ziglyph https://github.com/jecolon/ziglyph and for a sample UTF-8 string structure, Zigstr https://github.com/jecolon/zigstr . (bias alert: I'm the author of both. :^D )

Agreed, and Zig also has a lib for that as well:

https://github.com/jecolon/ziglyph/

Yes, sorry about that - I omitted a bit of that information for brevity.

If you want to play with allkeys.txt (which is by far much more sequential, simpler data than UnicodeData.txt) then you only need to remove the non-NFD strings (since the Unicode Collation Algorithm's first step requires you to decompose the string's code points to canonical NFD form), that removes ~2,000 entries.

The full file parser code, which strips those out and other useless information like comments and version information can be found here: https://github.com/jecolon/ziglyph/blob/main/src/collator/Al...

If you want to play around with UnicodeData.txt (which is less sequential, more complex data) then only two fields are used (the code point and decomposition field), and only records where the second field is not empty (the full decomposition type name in angle brackets is not needed, only whether it is or is not there is important.)

The full parser code for that file can be found here: https://github.com/jecolon/ziglyph/blob/main/src/normalizer/...

Hope that helps!