Kind
swift
Kind | swift | |
---|---|---|
21 | 215 | |
2,565 | 66,003 | |
- | 0.5% | |
9.5 | 10.0 | |
over 1 year ago | about 20 hours ago | |
Rust | C++ | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Kind
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Eliezer Yudkowsky has great news: "Parents conceiving today may have a fair chance of their kids living to see kindergarten."
As a developer of a proof assistant (Kind) I'm highly interested in this line of work. Can you point me to some of these papers? And perhaps people involved in this line of work?
- Somos os devs da HVM, o compilador Brasileiro que rodou o mundo. Vamos colocar nosso logo no /r/place?
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A list of new budding programming languages and their interesting features?
Kind: A modern proof language (though functional).
- Fornjot: A next-generation Code-CAD application
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How to handle list / contiguous array definition and implementation in a type system?
I have seen in languages like KindLang the definition of Array be like a Binary tree, but there is some magic there in the definition of the Array type that I don't understand yet. Also, I don't want to define the contiguous array further., it should be a literal contiguous array. The Kind "Word" type definition (arbitrary number of bytes) is closer to my contiguous array, but it has a similarly complex definition which like I said I don't understand.
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Type Checking as Calculation
Totally agree about the Blub Paradox, but there's definitely value in Self Types. See, for example, [Kind](https://github.com/Kindelia/Kind), which is able to type recursive data types by using Self Types.
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Please, keep in mind there is ZERO FUNDING for my projects.
For these who don't know, I'm the author of Kind and HVM. I've recently seen a criticism from an influent person in the community, who I often took as an inspiration, that made me really sad. "the guy behind this has built some impressive-sounding stuff before... it looks like his projects tend to just... go nowhere and he just abandons them and does something else?"
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Is it possible to make join work for arbitrary depths?
This is very easy with dependent types! For example, in Kind:
- A massively parallel, optimal functional runtime in Rust
- Eu acabei de lançar um dos "compiladores" mais rápidos do mundo. Apoiem o trabalho brasileiro!
swift
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Evolving the Go Standard Library with math/rand/v2
This algorithm produces biased result with probability 1/2^(32-bitwidth(N)). Using 64 or 128 random bits can make the bias practically undetectable. Comprehensive overview of the approach can be found here: https://github.com/apple/swift/pull/39143
- Swift: Differentiable Programming Manifesto
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Embedded Swift on the Raspberry Pi Pico
Because of C/C++ interop, and integration with CMake, you can just add Swift to a Zephyr project and it pretty much Just Works. [The docs](https://github.com/apple/swift/blob/main/docs/EmbeddedSwift/...) should mostly apply to the Zephyr SDK as well.
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A Deep Dive Into Observation: A New Way to Boost SwiftUI Performance
Fortunately, the Observation framework is part of the Swift 5.9 standard library. We can learn more information by examining its source code.
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Swift was always going to be part of the OS
They do! See https://github.com/apple/swift/blob/main/docs/LibraryEvoluti...
You can also see an example of what a different high level language integration with Swift ABI looks like here: https://github.com/dotnet/designs/blob/main/proposed/swift-i...
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Differentiable Swift
So is differentiable Swift a package for Swift or is it part of the Swift standard library? The video says go to swift.org but I can't find any info about differentiable Swift on that site.
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Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
Swift's Differentiable Programming Manifesto. Swift has a powerful differentiable programming component, integrated with the compiler.
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Kotlin Multiplatform for Android and iOS Apps
You can do the same thing the other way around - https://github.com/apple/swift/blob/main/docs/Android.md.
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This isn’t the way to speed up Rust compile times
Codable (along with other derived conformances like Equatable, Hashable, and RawRepresentable) is indeed built in to the compiler[0], but unlike Serde, it operates during type-checking on a fully-constructed AST (with access to type information), manipulating the AST to insert code. Because it operates at a later stage of compilation and at a much higher level (with access to type information), the work necessary is significantly less.
With ongoing work for Swift macros, it may eventually be possible to rip this code out of the compiler and rewrite it as a macro, though it would need to be a semantic macro[1] rather a syntactic one, which isn't currently possible in Swift[2].
[0] https://github.com/apple/swift/blob/main/lib/Sema/DerivedCon...
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How does Swift implement primitive types in its standard library?
`Int` is a regular struct with a single stored property of type `Builtin.Word` . But the latter is a magical compiler built-in. Source for integer types is generated from this template - https://github.com/apple/swift/blob/9da65ca0a15fdf341649c994b0a77ec3b71f2687/stdlib/public/core/IntegerTypes.swift.gyb
What are some alternatives?
HVM - A massively parallel, optimal functional runtime in Rust
solidity - Solidity, the Smart Contract Programming Language
opencascade.js - Port of the OpenCascade CAD library to JavaScript and WebAssembly via Emscripten.
cpp-lazy - C++11/14/17/20 library for lazy evaluation
CascadeStudio - A Full Live-Scripted CAD Kernel in the Browser
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
urweb - The Ur/Web programming language
tree-sitter - An incremental parsing system for programming tools
awesome-rust-formalized-reasoning - An exhaustive list of all Rust resources regarding automated or semi-automated formalization efforts in any area, constructive mathematics, formal algorithms, and program verification.
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
awesome-programming-languages - The list of an awesome programming languages that you might be interested in
lobster - The Lobster Programming Language