jegnux

extension Result {
    public func `catch`(_ handler: () throws -> Success) -> Result<Success, Error> {
        flatMapError { _ in
            .init { try handler() }
        }
    }

    public func `catch`(_ handler: (Failure) throws -> Success) -> Result<Success, Error> {
        flatMapError { error in
            .init { try handler(error) }

hemashushu

WebAssembly 导学

提起 WebAssembly/Wasm 可能会想起它是一种可以在浏览器里运行 C/C++/Rust 的技术，实际上它是一个虚拟机标准，它的实现可以在 MCU（单片机）、移动设备、桌面电脑到服务器里面跑，可以嵌入到浏览器、嵌入到应用程序或者独立运行，没有具体的边界。

特点：

1. 编译一次到处可运行（有点类似JVM虚拟机），源语言可以是 C/C++，Rust，Go，Swift ，TypeScript，C#，Kotlin 等等。
2. 具体的功能依赖于导入的接口（Import API），否则只是一个单纯的运算器（栈式虚拟机）。目前接口主要有 Web JS 和 WASI 两种，前者用在浏览器里，后者可以作为独立应用程序（比如调用文件系统、socket 等）。
3. 在 WASM 虚拟机里，只能调用宿主导入的方法和共享的内存，无法直接调用宿主的资源（比如 Web DOM 对象、文件系统等），所以天然具有沙盘安全特性。
4. 性能很好，提供了接近本地程序的性能，同一段简单的 C 计算程序，以 WASM 方式运行大概慢 1 倍左右，相对一般动态语言慢几倍到上百倍来说，性能已非常突出。

kemchenj

import UIKit

class CodeTextField: UITextField, UITextFieldDelegate {

    let codeLength: Int
    var characterSize: CGSize
    var characterSpacing: CGFloat
    let textPreprocess: (String) -> String
    let validCharacterSet: CharacterSet

tclementdev

libdispatch efficiency tips

The libdispatch is one of the most misused API due to the way it was presented to us when it was introduced and for many years after that, and due to the confusing documentation and API. This page is a compilation of important things to know if you're going to use this library. Many references are available at the end of this document pointing to comments from Apple's very own libdispatch maintainer (Pierre Habouzit).

My take-aways are:

• You should create very few, long-lived, well-defined queues. These queues should be seen as execution contexts in your program (gui, background work, ...) that benefit from executing in parallel. An important thing to note is that if these queues are all active at once, you will get as many threads running. In most apps, you probably do not need to create more than 3 or 4 queues.

• Go serial first, and as you find performance bottle necks, measure why, and if concurrency helps, apply with care, always validating under system pressure. Reuse

mdamien

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