swift-parsing
swift
swift-parsing | swift | |
---|---|---|
8 | 217 | |
818 | 66,003 | |
1.7% | 0.5% | |
4.0 | 10.0 | |
about 1 month ago | 3 days ago | |
Swift | C++ | |
MIT License | Apache License 2.0 |
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swift-parsing
- Swift Ownership Manifesto
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Does anyone know of a well-maintained Swift libraries that focus specifically on parsing and evaluating mathematical expressions from strings.
No idea about parsing and evaluating in the same library, but there’s an excellent parser library from PointFree.
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Tour of Parser-Printers: Introduction
Sorry about that, broken links have been fixed in the episode and here's a link to the library: https://github.com/pointfreeco/swift-parsing.
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Parsing & Formatting Imperial Measurements
If you want to do parsing, I strongly recommend Point-Free's Parsing library!
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Validating urls in Swift with regex.
Honestly I still have a difficult time understanding Regex’s, and maintaining them can be hard since once small change can completely change how the Regex works. I would instead opt for a real parsing library, like for instance PointFree’s swift-parsing, who’s clear and idiomatic API makes it easy to understand what’s really going on. It’s also very, very performant - almost as performant as making a custom hand-rolled parser.
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Getting multiple strings and extracting the word within special characters
Personally, I would pull out my parser library and use that (the documentation is lacking, so if you're just starting out it can be hard to figure out what's going on, but you could use Point Free's parser library to do it like so:
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SwiftUI architecture
I’m currently using the composable architecture. TCA is the result of video series by Point Free that discusses what Apple provides with SwiftUI, in detail, and iterates though the of the evolution of the architecture, to fill in the gaps. Most of the content is available by subscription, but there is free content as well, which includes a four part overview on the architecture itself. I highly recommend subscribing as the detailed walkthrough of building the architecture is extremely useful and helps clarify some of the more complicated aspects of its use.
- Parsing: turn nebulous data into well-structured data, with a focus on composition, performance, & generality
swift
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Swift's native Clocks are inefficient
https://github.com/apple/swift/pull/73429
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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...
What are some alternatives?
swift-composable-architecture - A library for building applications in a consistent and understandable way, with composition, testing, and ergonomics in mind.
solidity - Solidity, the Smart Contract Programming Language
Recombine
cpp-lazy - C++11/14/17/20 library for lazy evaluation
swift-math-parser - Math expression parser built with Point•Free's swift-parsing package
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
swift-evolution - This maintains proposals for changes and user-visible enhancements to the Swift Programming Language.
tree-sitter - An incremental parsing system for programming tools
Swift-ParserKit - A standalone monadic parser-combinator library
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
lobster - The Lobster Programming Language