Arthur VS ripgrep

Here are three hobby projects I've worked on during the last 2 years. I've written extensive guides for all of them:

https://github.com/maxvfischer/DIY-CNC-machine A CNC-machine I built from scratch, using 40x 3d-printed parts.

https://github.com/maxvfischer/Arthur An AI art installation I built from scratch using a GAN network, Samsung The Frame, a button and a PIR-sensor.

https://github.com/maxvfischer/DIY-arcade A full-size Arcade Machine I built from scratch.

Here you have the complete electronic setup: https://github.com/maxvfischer/Arthur#electronic-components

When I set out to learn new skills, I usually try to wrap them in a project. I also try to document and open-source the whole process, both for my own learning, but to enable other to leverage my failures and learnings.

Here are the projects I've done so far:

https://github.com/maxvfischer/Arthur An AI art installation I built from scratch using a GAN network, Samsung The Frame, a button and a PIR-sensor (including, code, images and tutorial). The main draft is almost done, but quite some polishing to do.

https://github.com/maxvfischer/shibusa An automatic Zen Garden drawing infinite patterns in sand. Using stepper motors, inverse kinematics and a Raspberry Pi Zero W (including, code, images and tutorial). I'm almost done building the robot, but still have quite some implementation to do. Also, the guide is far from done, I've mostly uploaded images so far.

https://github.com/maxvfischer/DIY-arcade A full-size Arcade Machine I built from scratch (including, code, images and tutorial). I don't know where you draw the life of "half baked". It's done, but there's a lot of improvements that can be done.

https://github.com/maxvfischer/Arthur An AI art installation I built from scratch using a GAN network, Samsung The Frame, a button and a PIR-sensor (including, code, images and tutorial). The main draft is almost done, but quite some polishing to do.

https://github.com/maxvfischer/shibusa An automatic Zen Garden drawing infinite patterns in sand. Using stepper motors, inverse kinematics and a Raspberry Pi Zero W (including, code, images and tutorial). I'm almost done building the robot, but still have quite some implementation to do. Also, the guide is far from done, I've mostly uploaded images so far.

https://github.com/maxvfischer/Arthur

ripgrep - https://github.com/BurntSushi/ripgrep

Basic code searching skills seems like something new developers are never explicitly taught, but which is an absolutely crucial skill to build early on.

I guess the knowledge progression I would recommend would look something kind this:

- Learning about Ctrl+F, which works basically everywhere.

- Transitioning to ripgrep https://github.com/BurntSushi/ripgrep - I wouldn't even call this optional, it's truly an incredible and very discoverable tool. Requires keeping a terminal open, but that's a good thing for a newbie!

- Optional, but highly recommended: Learning one of the powerhouse command line editors. Teenage me recommended Emacs; current me recommends vanilla vim, purely because some flavor of it is installed almost everywhere. This is so that you can grep around and edit in the same window.

- In the same vein, moving back from ripgrep and learning about good old fashioned grep, with a few flags rg uses by default: `grep -r` for recursive search, `grep -ri` for case insensitive recursive search, and `grep -ril` for case insensitive recursive "just show me which files this string is found in" search. Some others too, season to taste.

- Finally hitting the wall with what ripgrep can do for you and switching to an actual indexed, dedicated code search tool.

live grep: ripgrep

The world has moved on though to opinionated tools, and Rust isn't even the furthest in that direction (That would be Go). The equivalent of those two lines in Cargo.toml would be this example of a basic configuration from the jacoco-maven-plugin: https://www.jacoco.org/jacoco/trunk/doc/examples/build/pom.x... - That's 40 lines in the section to do the "defaults".

Yes, you could add a load of config for files to include/exclude from coverage and so on, but the idea that that's a norm is way more common in Java projects than other languages. Like here's some example Cargo.toml files from complicated Rust projects:

Servo: https://github.com/servo/servo/blob/main/Cargo.toml

rust-gdext: https://github.com/godot-rust/gdext/blob/master/godot-core/C...

ripgrep: https://github.com/BurntSushi/ripgrep/blob/master/Cargo.toml

socketio: https://github.com/1c3t3a/rust-socketio/blob/main/socketio/C...

I'm not clear on why you're seeing the results you are. It could be because your haystack is so small that you're mostly just measuring noise. ripgrep 14 did introduce some optimizations in workloads like this by reducing match overhead, but I don't think it's anything huge in this case. (And I just tried ripgrep 13 on the same commands above and the timings are similar if a tiny bit slower.)

[1]: https://github.com/radare/ired

[2]: https://github.com/BurntSushi/ripgrep/discussions/2597

Explore o Ripgrep no repositório oficial: https://github.com/BurntSushi/ripgrep

🔎🗃️ ripgrep or ugrep (search fast, use regex patterns or fuzzy search, pipe output to bash/zsh shell for further processing V coloring)