wuffs VS ivy

Maybe this is what you are looking for:

https://github.com/google/wuffs

"Wuffs is a memory-safe programming language (and a standard library written in that language) for Wrangling Untrusted File Formats Safely."

It could author its format parsers in https://github.com/google/wuffs, and make them BSD-like open source to maximize adoption.

An even bigger change: It could allow users to choose their iMessage client freely. Why not open up the protocol? I’m sure a security focused client would be popular and in the grand scheme of things easy to author.

Perhaps they could open up more of the OS and apps. Perhaps their claims about the security of users and the App Store is kind of BS.

This is one of the reasons I'm a big fan of wuffs[0] - it specifically targets dealing with formats like pictures, safely, and the result drops in to a C codebase to make the compat/migration story easy.

[0] https://github.com/google/wuffs

There are already huffman-decoding and some parts of webp algorithms in https://github.com/google/wuffs (language that finds missing bounds checks during compilations). In contrary, according to readme, this language allows to write more optimized code (compared to C). WEBP decoding is stated as a midterm target in the roadmap.

Specifically, since performance is crucial for this type of work, it should be written in WUFFS. WUFFS doesn't emit bounds checks (as Java does and as Rust would where it's unclear why something should be in bounds at runtime) it just rejects programs where it can't see why the indexes are in-bounds.

https://github.com/google/wuffs

You can explicitly write the same checks and meet this requirement, but chances are since you believe you're producing a high performance piece of software which doesn't need checks you'll instead be pulled up by the fact the WUFFS tooling won't accept your code and discover you got it wrong.

This is weaker than full blown formal verification, but not for the purpose we care about in program safety, thus a big improvement on humans writing LGTM.

> parsing encoded files tends to introduce vulnerabilities

If we are talking about binary formats, now there are systematic solutions like https://github.com/google/wuffs that protect against vulnerabilities. But SQLite is not just a format - it's an evolving ecosystem with constantly added features. And the most prominent issue was not even in core, it was in FTS3. What will SQLite add next? More json-related functions? Maybe BSON? It is useful, but does not help in this situation.

Regarding traces, there are many forensics tools and even books about forensic analysis of SQLite databases. In well-designed format such tools should not exist in the first place. This is hard requirement: if it requires rewriting the whole file - then so be it.

I agree that Wuffs [1] would have been a very good alternative! If it can be made more generally. AFAIK Wuffs is still very limited, in particular it never allows dynamic allocation. Many formats, including those supported by Wuffs the library, need dynamic allocation, so Wuffs code has to be glued with unverified non-Wuffs code [2]. This only works with simpler formats.

[1] https://github.com/google/wuffs/blob/main/doc/wuffs-the-lang...

[2] https://github.com/google/wuffs/blob/main/doc/note/memory-sa...

There are efforts to do that, notably https://github.com/google/wuffs

RLBox is another interesting option that lets you sandbox C/C++ code.

I think the main reason is that security is one of those things that people don't care about until it is too late to change. They get to the point of having a fast PDF library in C++ that has all the features. Then they realise that they should have written it in a safer language but by that point it means a complete rewrite.

The same reason not enough people use Bazel. By the time most people realise they need it, you've already implemented a huge build system using Make or whatever.

I finally have time to try out wuffs (https://github.com/google/wuffs), which I first heard about here on HN. I want to develop a low-level tokenizer for SDF files, a small-molecule structure file format which started in the 1970s, with lots of, let's call it 'heritage'. Wuffs' ability to process near the data, with a coroutine-like interface, seems like a good fit.

I got the "hello-wuffs-c" example to work, which took some tinkering (see wuffs issue #24). That reads a single string and returns an unsigned int. Despite looking at the example implementations for json parsing, I can't figure out how to go from that example to something which handles multiple input buffer blocks, with string tokens that might straddle two buffers.

Nor could I find third-party examples of people using wuffs-the-language beyond basic experimentation for simple binary data. The handful of non-trivial examples I found only used wuffs-the-library, as a vendored component in a larger project.

The lack of wuffs-the-language use after several years seems a strong sign that I shouldn't look to wuffs for my project. Given the 'workarounds' in #24 are still present after 3 years, it doesn't even seem that widely internally at Google.

Does anyone here have experience to share, or pointers to related projects?

Here's an off-topic answer.

Depends on what you want your toy language to do and what sort of runtime support you'd like to lean on.

JVM is pretty good for a lot of script-y languages, does impose overhead of having a JVM around. Provides GC, Threads, Reflection, consistent semantics. Tons of tools, libraries, support.

WebAssembly is constrained (for running-in-a-browser safety reasons) but then you get to run your code in a browser, or as a service, etc, and Other People are working hard on the problem of getting your WA to go fast. That used to be a big reason for using JVM, but it turns out that Security Is Darn Hard.

I have used C in the (distant) past as an IL, and that works up to a point, implementing garbage collection can be a pain if that's a thing that you want. C compilers have had a lot of work on them over the years, and you also have access to some low-level stuff, so if you were E.G. trying to come up with a little language that had super-good performance, C might be a good choice. (See also, [Wuffs](https://github.com/google/wuffs), by Nigel Tao et al at Google).

A suggestion, if you do target C -- don't work too hard to find isomorphisms between C's data structures and YourToyLang's data structures. Back around 1990, I did my C-generating compiler for Modula-3, and a friend at Xerox PARC used C as a target for Cedar Mesa, and Hans used it in a lower-level way (so I was mapping between M-3 records and C structs, for example, Hans was not) and the lower-level way worked better -- i.e., I chose poorly. It worked, but lower-level worked better.

If you are targeting a higher-level language, Rust and Go both seem like interesting options to me. Both have the disadvantage that they are still changing slightly but you get interesting "services" from the underlying VM -- for Rust, the borrow checker, plus libraries, for Go, reflection, goroutines, and the GC, plus libraries.

Rust should get you slightly higher performance, but I'd worry that you couldn't hide the existence of the borrow checker from your toy language, especially if you wanted to interact with Rust libraries from YTL. If you wanted to learn something vaguely publishable/wider-interesting, that question right there ("can I compile a TL to Rust, touch the Rust libraries, and not expose the borrow checker? No+what-I-tried/Yes+this-worked") is not bad.

I have a minor conflict of interest suggesting Go; I work on Go, usually on the compiler, and machine-generated code makes great test data. But regarded as a VM, I am a little puzzled why it hasn't seen wider use, because the GC is great (for lower-allocation rates than Java however; JVM GC has higher throughout efficiency, but Go has tagless objects, interior pointer support, and tiny pause times. Go-the-language makes it pretty easy to allocate less.) Things Go-as-a-VM currently lacks:

- tail call elimination (JVM same)

My recent exposure to array programming languages came via a podcast called The Array Cast[1]

Not affiliated, just recommending. The regular co-hosts appear to each be experienced with various array languages such as J, APL, etc. They don't get deeply technical, but it's a nice introduction, especially on explaining the appeal.

A recent episode had Rob Pike (UTF-8, Go, etc.) on to talk about his array based calculator, Ivy[2]

[1] https://www.arraycast.com/

[2] https://github.com/robpike/ivy

I enjoyed russ cox's advent of code series using rob pike's ivy (https://github.com/robpike/ivy), an apl-like calculator

https://www.youtube.com/playlist?list=PLrwpzH1_9ufMLOB6BAdzO...

Ivy is an APL-like programming language created by Rob Pike https://github.com/robpike/ivy

Ivy is another APL like language and one I kind of enjoy, because operations are actually readable and writable.

https://github.com/robpike/ivy

I really like Ivy as a simple, friendly introduction to APL. There is a surprising lack of APL-derived languages that use words to name things -- most stick with the original symbols; J and friends choose equally-cryptic symbols composed of ASCII characters.

Earlier this year I decided to solve AoC 2021 in Ivy, then watch Russ Cox's videos to see how he did it and use that to learn something about array programming -- a topic I knew absolutely nothing about going into this.

Unfortunately, Ivy really is, as Rob Pike says, a plaything. It is buggy -- if you ever write a function that returns a vector or a higher-rank array, you are entering bizarre undefined behavior territory. The array-language equivalent of "concat_map" or "flat_map" or "map-cat" or whatever you want to call it just produces garbage values, which is very confusing when you're learning about array programming for the first time ("Wait, this vector says its length is 25, but it contains 50 elements...?" or "The transpose of this array is just the first column repeated over and over??").

Beyond that, a very cool thing about array languages is that, you know, functions can implicitly act on entire arrays. You can multiple a vector by 2 and it will know to multiply every element in the vector by 2, because multiplication is defined for scalars.

But in Ivy, this is only true for the built-in functions. There is no way to write user-defined functions that have this implicit act-on-every-element behavior. Which is basically the looping primitive in array languages -- so to do anything nontrivial, you have to write it out with explicit recursion (still with the caveat that your functions can only return scalars, or you enter undefined behavior town) or rewrite your operations as binary operations with an ignored right-hand side and use "fold" to "map" them. It's bad.

The latter is crippling enough that Russ Cox [eventually forks Ivy](https://github.com/robpike/ivy/pull/83) to add support for it, but it is not currently part of the language.

Anyway that's a long comment to say: Ivy is a good, friendly introduction to APL syntax (stranding, precedence, etc) and some array language concepts, but it is far more of a calculator than a programming language.

But it's a good arbitrary-precision calculator! And if you're still interested in trying it, maybe check out this thing I made. It's an... Ivy programming environment?... that lets you run Ivy scripts and see the results inline. (Ivy's repl is... very primitive, and has to be wrapped by something like readline. Russ Cox uses 9term to get around this; self-modifying programs are my preferred approach.)

https://github.com/ianthehenry/privy

My frustration with Ivy led me to look into other array languages, trying to find one that 1) used English words instead of cryptic symbols and 2) worked. And I really couldn't find any! Someone should do something about that. :)

But your project is all about the command ytdial, so I think having a separate cmd directory is superfluous. Rob Pike also has project ivy which is laid out like this.