cargo-edit VS rayon

“cargo add” from https://github.com/killercup/cargo-edit has that behavior, but not the built in one that was added to cargo

I have also noticed that the last commit of cargo-edit crate's GitHub repo (https://github.com/killercup/cargo-edit) was two days ago (pretty recent.) So it is probably relevant for a lot of people.

cargo-upgrade from cargo-edit (somewhat more intentional than builtin update)

I've also tried cargo-upgrade from cargo-edit like so:

You can also see how other crates do it. For example, cargo-edit is just like that - a single package with a library with a couple of small cli wrappers around it. You can compare their Cargo.toml to yours, maybe there is something different about them.

Just to check, are you aware of cargo-edit's cargo-set-version or cargo-release?

Speaking of cargo remove, see also cargo-edit [0] from which adding and removing originally came, as well as cargo-binstall [1] which installs binaries rather than compiling from source every time. The binaries are updatable with cargo-update [2].

The latter two can replace a package manager for Rust related utilities, as I often find that those in OS package repositories are often not as up to date as directly from cargo.

[0] https://github.com/killercup/cargo-edit

[1] https://github.com/cargo-bins/cargo-binstall

[2] https://github.com/nabijaczleweli/cargo-update

For context, it was/is part of cargo-edit crate which provides other nice functionalities as well. Hope all gets integrated in time.

https://github.com/killercup/cargo-edit can use the F option

Do some operations with .iter() then later use rayon to parallelize. So you can show how easy is to add a dependency and how easy is to parallelize.

rayon: Async CPU runtime for parallelism.

In the quest for more efficient solutions, the ONNX runtime emerged as a beacon of performance. The decision to transition from Typescript to Rust was an unconventional yet pivotal one. Driven by Rust's robust parallel processing capabilities using Rayon and seamless integration with ONNX through the ort crate, Repo-Query unlocked a realm of unparalleled efficiency. The result? A transformation from sluggish processing to, I have to say it, blazing-fast performance.

With a lot of rayon, blood, sweat and tears I finally managed to simulate a million buildings at 60fps :) Feel free to AMA, game is Combine And Conquer

(see https://github.com/rayon-rs/rayon/tree/master/src/iter/plumbing)

I did some very basic testing with this crate : https://crates.io/crates/rayon and it seems to work :

Sequentially, generating tree-sitter AST for each file and querying for the links of each file takes around 2.3 seconds. However, I randomly remembered this crate rayon, and I decided to test it. It ended up improving the performance (just by changing 2 lines of code) to 200-300ms by parallelizing the iterators and tree-sitter queries. MAJOR.

Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.