krypto
swift-evolution
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| krypto | swift-evolution | |
|---|---|---|
| 1 | 124 | |
| 139 | 15,014 | |
| - | 0.8% | |
| 0.0 | 9.7 | |
| almost 2 years ago | 2 days ago | |
| Kotlin | Markdown | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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krypto
swift-evolution
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Byte-Sized Swift: Building Tiny Games for the Playdate
[A Vision for Embedded Swift](https://github.com/apple/swift-evolution/blob/main/visions/e...) has the details on this new build mode and is quite interesting.
> Effectively, there will be two bottom layers of Swift, and the lower one, “non-allocating” Embedded Swift, will necessarily be a more restricted compilation mode (e.g. classes will be disallowed as they fundamentally require heap allocations) and likely to be used only in very specialized use cases. “Allocating” Embedded Swift should allow classes and other language facilities that rely on the heap (e.g. indirect enums).
Also, this seems to maybe hint at the Swift runtime eventually being reimplemented in non-allocating Embedded Swift rather than the C++ (?) that it uses now:
> The Swift runtime APIs will be provided as an implementation that’s optimized for small codesize and will be available as a static library in the toolchain for common CPU architectures. Interestingly, it’s possible to write that implementation in “non-allocating” Baremetal Swift.
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Borrow Checking Without Lifetimes
I may be out of my depth here as I've only casually used Rust, but this seems similar to Swift's proposed lifetime dependencies[1]. They're not in the type system formally so maybe they're closer to poloneius work
[1]: https://github.com/apple/swift-evolution/blob/3055becc53a3c3...
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Functional Ownership Through Fractional Uniqueness
Swift recently adopted a region-based approach for safe concurrency that builds on Milano et al’s ideas: https://github.com/apple/swift-evolution/blob/main/proposals...
- Swift-evolution/proposals/0373-vars-without-limits-in-result-builders.md
- The Swift proposal that removed the ++ and –- operators (2017)
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Crafting Self-Evident Code with D
No, it's not. Refcounting CAN be a garbage collection algorithm, but in Swift it's deterministic and done at compile time. Not to mention recently added support for non-copyable types that enforces unique ownership: https://github.com/apple/swift-evolution/blob/main/proposals...
- Statically link Swift runtime libraries by default on supported platforms
- (5.9) What is the point of a SerialExecutor that can silently re-order jobs?
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Mac shipments grow 10%, as all major PC brands see downturns.
You can stackallocate buffers with unsafe Swift but it's not exactly fun to use. https://github.com/apple/swift-evolution/blob/main/proposals/0322-temporary-buffers.md
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Can someone explain how Task really works in terms of threads (I couldnt ask all the questions with the swift team today)?
If the docs do not suffice, read the concurrency proposals of Swift Evolution. The authors describe the semantics in a very detailed way there.
What are some alternatives?
kotlin-multiplatform-libsodium - A kotlin multiplatform wrapper for libsodium, using directly built libsodium for jvm and native, and libsodium.js for js targets.
compose-multiplatform - Compose Multiplatform, a modern UI framework for Kotlin that makes building performant and beautiful user interfaces easy and enjoyable.
foundationdb - FoundationDB - the open source, distributed, transactional key-value store
kotlinx-datetime - KotlinX multiplatform date/time library
okio - A modern I/O library for Android, Java, and Kotlin Multiplatform.
PeopleInSpace - Kotlin Multiplatform project with SwiftUI, Jetpack Compose, Compose for Wear, Compose for Desktop, Compose for Web and Kotlin/JS + React clients along with Ktor backend.
swift-algorithms - Commonly used sequence and collection algorithms for Swift
swift - The Swift Programming Language
kotlin-wrappers - Kotlin wrappers for popular JavaScript libraries
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
async-await-WWDC21-blog-post
kotlinx.serialization - Kotlin multiplatform / multi-format serialization