pixels VS ripgrep

https://github.com/parasyte/pixels

That gives you a simple software framebuffer, and it builds as a native app or for the web.

On a more recent machine, that same (well, more primitive) app with pixels or softbuffer struggled beyond acceptable. But was definitely poorly written.

I’ve ported the application from being based on pixels crate to the powerful bevy game engine

Well, it depends on how you use it; writing to an image buffer isn't much less efficient than writing to any normal buffer (in fact, although displaying your scene to a window efficiently is important, your main bottleneck will be the actual ray tracing loop). You may want to read this article for a practical example of using an ImageBuffer to create and draw a texture with Piston. Other window backends you could use, apart from pixels which was already mentioned in another comment, include minifb and Mini GL, though I haven't personally used them.

You can use wgpu instead of opengl as in the pixels example: https://github.com/parasyte/pixels/tree/main/examples/minimal-fltk

It might be possible but with a raycaster you probably want to be able to easily set all pixels and create your own small engine. Something like the pixels crate should fit your purpose: https://github.com/parasyte/pixels

The reality is that I have used unsafe that is also unsound out of convenience because fixing it is a papercut too many. And this tends to be common! I know enough to spot unsoundness in other projects (sometimes even early). But not enough to be confident in my own abilities to write sound unsafe code. Why? Because it's really flipping hard, that's why!

Also, if you just want to get-things-done, then https://github.com/parasyte/pixels might be a bit better, to avoid reinventing the wheel.

However, I recently got a new M2 Macbook Air and started noticing some super weird behavior. While playing Pokemon Silver with an unlocked framerate, I'd notice that the game would slow down to below 60FPS, even on a release build. After printing a little debugging info I found the culprit in the rendering logic which was handled by the MiniFB crate. At first I thought switching to a GPU renderer (such as https://github.com/parasyte/pixels) would help, and it... kinda did?

pixels uses wgpu and runs fine.

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)