proposal-type-annotations
rust
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proposal-type-annotations | rust | |
---|---|---|
101 | 2,680 | |
4,081 | 92,627 | |
2.1% | 2.4% | |
4.7 | 10.0 | |
about 1 month ago | 1 day ago | |
JavaScript | Rust | |
- | GNU General Public License v3.0 or later |
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proposal-type-annotations
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Bun 1.1
That proposal is not fully compatible with Typescript: https://github.com/tc39/proposal-type-annotations?tab=readme...
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Go 1.22 Release Notes
They held a meeting a few months ago so it's alive but probably still years away.
https://github.com/tc39/proposal-type-annotations/issues/184
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[AskJS] Kicking a dead horse - TS vs JS
I particularly like this thread in the TC39 types proposal. TypeScript IS a development trojan horse and locks you into the Microsoft Way of being a JS developer.
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HTML First – Six principles for building simple, maintainable, web software
Edit: There is a proposal to extend JavaScript with type annotations, which would allow ("a reasonably large subset") of TypeScript to run directly in the browser. Yay!
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Building React Components Using Unions in TypeScript
More importantly, TypeScript typically commits to build things into itself when the proposal in JavaScript reaches Stage 3. The pattern matching proposal in JavaScript is Stage 1, but depends on many other proposals as well that may or may not need to be at Stage 3 as well for it to work. This particular proposal is interested on pattern matching on JavaScript Objects and other primitives, just like Python does with it’s native primitives. These are also dynamic types which helps in some areas, but makes it harder than others. Additionally, the JavaScript type annotations proposal needs to possibly account for this. So it’s going to be awhile. Like many years.
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Show HN: Conway's Game of Life in TypeScript's type system
this is exactly what I want from the _Types as Comments_ proposal[0] as I think it's the only way that types can feasibly become part of the language. It's hard to imagine how all of the concepts TS introduces via special syntax can be covered otherwise.
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TypeScript Without Transpilation
JSDoc can get you pretty far, but it can be clumsy sometimes. There’s a [TC39 proposal](https://github.com/tc39/proposal-type-annotations) to allow types to live in JS code and be treated as comments (similar with Python types today)
- Do you think typescript will ever have native support on brosers? Or we will have only the JS type annotations?
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TypeScript Book
Honestly the TC39 is the best case scenario. https://tc39.es/proposal-type-annotations/
Forget runtime type validation, TS is really for preventing bugs at development time as well as IDE integration.
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Node.js codebase is still entirely in Javascript and not in Typescript and node team does not even officially provide node TS types
As for 2: here it is :) https://github.com/tc39/proposal-type-annotations
rust
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Unformat Rust code into perfect rectangles
Almost fixed the compiler: https://github.com/rust-lang/rust/pull/123325
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Implement React v18 from Scratch Using WASM and Rust - [1] Build the Project
Rust: A secure, efficient, and modern programming language (omitting ten thousand words). You can simply follow the installation instructions provided on the official website.
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Show HN: Fancy-ANSI – Small JavaScript library for converting ANSI to HTML
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/
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Upgrading Hundreds of Kubernetes Clusters
We strongly believe in Rust as a powerful language for building production-grade software, especially for systems like ours that run alongside Kubernetes.
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What Are Const Generics and How Are They Used in Rust?
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.
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Algorithms for Modern Hardware
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.
- Rust: Actix-web and Daily Logging
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Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
But that said, - and again I might be a bit biased - Groovy is too slow for me! I compared it to Rust in this LinkedIn post and it was waaaaay slow. Keep in mind that subjectively comparing programming languages might be a tricky business. But at the end, it will be up to your use case/project to prefer a language over the other.
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Top Paying Programming Technologies 2024
13. Rust - $87,012
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Dada, an Experiement by the Creators of Rust
Yes, actually.
https://github.com/rust-lang/rust/blob/d0ea1d767925d53b2230e...
Limited to the rust codebase itself, but I'm sure the developers would force it on everyone else if they thought they could get away with it.
What are some alternatives?
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Rustup - The Rust toolchain installer
rust-analyzer - A Rust compiler front-end for IDEs [Moved to: https://github.com/rust-lang/rust-analyzer]
go - The Go programming language
mimalloc - mimalloc is a compact general purpose allocator with excellent performance.
scala - Scala 2 compiler and standard library. Bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
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