swift-evolution VS swift-algorithms

[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.

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...

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...

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...

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

If the docs do not suffice, read the concurrency proposals of Swift Evolution. The authors describe the semantics in a very detailed way there.

While you are correct about the stdlib, check out swift-algorithms (https://github.com/apple/swift-algorithms). It's written by Apple and has several interesting methods.

We used Swift Algorithms once or twice. It just depends on the app. I suggest starting with the WWDC video.

Install swift-algorithms and use min/max(count:by:)

#!/usr/bin/env swift sh import Algorithms // https://github.com/apple/swift-algorithms struct StandardInput: Sequence, IteratorProtocol { func next() -> String? { return readLine() } } func markerEnd(for signal: String, markerLength: Int) -> Int { return Array(signal.windows(ofCount: markerLength)) .firstIndex { Set($0).count == markerLength }! + markerLength } let signals = StandardInput().compactMap { $0 } let part1 = signals.map { markerEnd(for: $0, markerLength: 4)}.reduce(0, +) let part2 = signals.map { markerEnd(for: $0, markerLength: 14)}.reduce(0, +) print("part 1 : \(part1)") print("part 2 : \(part2)")

#!/usr/bin/env swift sh import Algorithms // https://github.com/apple/swift-algorithms typealias Label = Character typealias Instruction = (amount: Int, source: Int, destination: Int) struct StandardInput: Sequence, IteratorProtocol { func next() -> String? { return readLine(strippingNewline: false) } } let sections = StandardInput() .compactMap { $0 } .split(separator: "\n") .map { Array($0) } let stacks = parseStacks(from: sections[0]) let instructions = parseInstructions(from: sections[1]) print(apply(instructions, to: stacks, oneAtATime: true)) print(apply(instructions, to: stacks, oneAtATime: false)) // MARK: - Private private func parseStacks(from section: [String]) -> [[Label]] { let crates = section.map { let start = $0.index($0.startIndex, offsetBy: 1) return Array($0.suffix(from: start).striding(by: 4)) } let stackCount = crates[0].count var stacks: [[Label]] = Array(repeating: [Label](), count: stackCount) crates.reversed().forEach { for (index, label) in $0.enumerated() { stacks[index].append(label) } } return stacks.map { $0.filter { $0.isLetter } } } private func parseInstructions(from section: [String]) -> [Instruction] { return section.map { let tokens = $0.dropLast().split(separator: " ") return (Int(tokens[1])!, Int(tokens[3])! - 1, Int(tokens[5])! - 1) } } private func apply( _ instructions: [Instruction], to stacks: [[Label]], oneAtATime: Bool ) -> String { var stacks = stacks instructions.forEach { let cargo = Array(stacks[$0.source].suffix($0.amount)) stacks[$0.source] = stacks[$0.source].dropLast($0.amount) stacks[$0.destination].append( contentsOf: oneAtATime ? cargo.reversed() : cargo ) } return String(stacks.map { $0.last! }) }

Swift. Algorithms contains chunks(ofCount: 3) but I had to write chunks(totalCount:) myself.

Algorithms has `max(count:)` now. 💻🖥️

Create windows of 4 elements.

There is also a swift algorithm package that’s a precursor to the standard library if you want to examine legit implementation built into Swift.

I used Algorithms and took inspiration from Kotlin with it's zipWithNext function.