librespot VS rust

It is shitty they killed libspotify, but it isn't hard to reverse engineer the way the app communicates with the backend, this has already happened in the form of https://github.com/librespot-org/librespot as an example.

And if Apples ecosystem wasn't so locked down I could write a HomePod client using librespot and Daniel Ek could get however mad he wants about it.

https://github.com/librespot-org/librespot - it exists already. I'd just like to make it usable on a flip phone.

They use a version of this.

You want SnapCast. You'd run snapserver on your Linux box and snapclient on your Pi's. Snapserver has support for Airplay (via shairport-sync) and Spotify (via librespot). I recommend using MPD for your music library, as I don't think PlexAmp can output audio in a way that's useful for snapserver.

For the last tow days I'm trying to compile librespot for my Xiaomi Mop PRO STYJ02YM Vacuum Cleaner. Vacuum uses TinaLinux which uses OpenWRT under the hood. The platform is armv7.

Also, the base library doing the hard work of communicating with the proprietary Spotify service is still very healthy, since April 2015. I would say that is a pretty decent time no?

To replace it, I've purchased in-ceiling speakers and a Control 4 Amp (C4-16AMP3-B) which I can control via the network. I plan on using shareport-sync for AirPlay and librespot for spotify as the sources to play music. 90% of the use for my whole home audio is for music.

But, if I can control librespot, https://github.com/librespot-org/librespot that's interesting

You can also just use librespot, which acts as a Spotify Connect device so you can play music in your PC and control it from your phone in a very light way

Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325

Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.

Recently did something similar in Rust but for generating SVGs. We've adopted it for snapshot testing of cargo and rustc's output. Don't have a good PR handy for showing Github's rendering of changes in the SVG (text, side-by-side, swiping) but https://github.com/rust-lang/rust/pull/121877/files has newly added SVGs.

To see what is supported, see the screenshot in the docs: https://docs.rs/anstyle-svg/latest/anstyle_svg/

We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.

The above Assert<{N % 2 == 1}> requires #![feature(generic_const_exprs)] and the nightly toolchain. See https://github.com/rust-lang/rust/issues/76560 for more info.

Another week, another dive into Rust. This time, we're delving into structs. Structs bear resemblance to interfaces in TypeScript, enabling the grouping of intricate data sets within an object, much like TypeScript/JavaScript. Rust also accommodates functions within these structs, offering a semblance of classes, albeit with distinctions. Let's delve into this topic.

There’s also other reasons. For example, take binary search:

* prefetch + cmov. These should be part of the STL but languages and compilers struggle to emit the cmov properly (Rust’s been broken for 6 years: https://github.com/rust-lang/rust/issues/53823). Prefetch is an interesting one because while you do optimize the binary search in a micro benchmark, you’re potentially putting extra pressure on the cache with “garbage” data which means it’s a greedy optimization that might hurt surrounding code. Probably should have separate implementations as binary search isn’t necessarily always in the hot path.

* Eytzinger layout has additional limitations that are often not discussed when pointing out “hey this is faster”. Adding elements is non-trivial since you first have to add + sort (as you would for binary search) and then rebuild a new parallel eytzinger layout from scratch (i.e. you’d have it be an index of pointers rather than the values themselves which adds memory overhead + indirection for the comparisons). You can’t find the “insertion” position for non-existent elements which means it can’t be used for std::lower_bound (i.e. if the element doesn’t exist, you just get None back instead of Err(position where it can be slotted in to maintain order).

Basically, optimizations can sometimes rely on changing the problem domain so that you can trade off features of the algorithm against the runtime. These kinds of algorithms can be a bad fit for a standard library which aims to be a toolbox of “good enough” algorithms and data structures for problems that appear very very frequently. Or they could be part of the standard library toolkit just under a different name but you also have to balance that against maintenance concerns.