取集合的一部分 取单个元素 排序 聚合操作 集合写操作 List 相关操作 Set 相关操作 Map 相关操作 选择加入要求 作用域函数 时间度量 官方库 协程（kotlinx.coroutines） 1.12.1.1 1.12.1.2 1.12.1.3 1.12.1.4 1.12.1.5 1.12.1.6 1.12.1.7 1.12.1.8 1.12.1.9 1.12 测试策略 操作参数 数据结构约束 进度保证 时序规范 Ktor↗ API 参考 标准库（stdlib）↗ 测试库（kotlin.test）↗ 协程（kotlinx.coroutines）↗ 序列化（kotlinx.serialization）↗ 1.13.5 1.13.6 1.13.7 1.14 1.14.1 1.14.2 1.14.3 1.15 1 或者任意范例项目。 3. 使用一整套多平台库 在共享模块中只实现一次所需的业务逻辑。 了解关 于添加依赖项的更多信息。 库 详情 Ktor 文档 Serialization 文档及范例 Coroutines 文档及范例 DateTime 文档 SQLDelight 第三方库。 文档 还可以在社区驱动列表中找到多平台库。 1. 了解关于 Kotlin 多平台移动端的更多信息： 了解关于

7 取单个元素 排序 聚合操作 集合写操作 List 相关操作 Set 相关操作 Map 相关操作 选择加入要求 作用域函数 时间度量 官方库 协程（kotlinx.coroutines） 协程指南 协程基础 Kotlin 协程与通道介绍↗ 取消与超时 组合挂起函数 协程上下文与调度器 异步流 通道 协程异常处理 共享的可变状态与并发 select 表达式（实验性的） 2 1.15.2.3.3 1.15.2.4 1.15.2.4.1 Ktor↗ API 参考 标准库（stdlib）↗ 测试库（kotlin.test）↗ 协程（kotlinx.coroutines）↗ 序列化（kotlinx.serialization）↗ 日期与时间（kotlinx-datetime）↗ JVM 元数据（kotlinx-metadata-jvm）↗ Ktor↗ 范例项目。 3. 使用一整套多平台库 在共享模块中只实现一次所需的业务逻辑。 了解关于添加依赖项的 更多信息。 库 详情 Ktor 文档 Serialization 文档及范例 Coroutines 文档及范例 DateTime 文档 SQLDelight 第三方库。 文档 还可以在社区驱动列表中找到多平台库。 1. 了解关于 Kotlin 多平台移动端的更多信息： 了解关于

single-thread model, which means that all sessions run in a single thread. For IO- bound tasks, coroutines take up fewer resources than threads and have performance comparable to threads. In addition, auto_open_webbrowser=True) In the coroutine task function, you can also use await to call other coroutines or (awaitable objects) in the standard library asyncio: import asyncio from pywebio import start_server

single-thread model, which means that all sessions run in a single thread. For IO-bound tasks, coroutines take up fewer resources than threads and have performance comparable to threads. In addition, the auto_open_webbrowser=True) In the coroutine task function, you can also use await to call other coroutines or (awaitable objects [https://docs.python.org/3/library/asyncio-task.html#asyncio-awaitables])

可以用来进行查找任务，整体的查找时间会缩短（除以协程的数量）。 14.1.5 Go 协程（goroutines）和协程（coroutines） （译者注：标题中的“Go协程（goroutines）” 即是 14 章讲的协程指的是 Go 语言中的协程。而“协 程（coroutines）”指的是其他语言中的协程概念，仅在本节出现。） 在其他语言中，比如 C#，Lua 或者 Python 都有协程的概念。这个名字表明它和

- 381 - 本文档使用 书栈(BookStack.CN) 构建 （译者注：标题中的“Go协程（goroutines）” 即是 14 章讲的协程指的是 Go 语言中的协程。而“协程 （coroutines）”指的是其他语言中的协程概念，仅在本节出现。） 在其他语言中，比如 C#，Lua 或者 Python 都有协程的概念。这个名字表明它和 Go协程有些相似，不过有两点不 同： Go 协 样的 Go 协程通过通道来通信；协程通过让出和恢复操作来通信 Go 协程比协程更强大，也很容易从协程的逻辑复用到 Go 协程。 14.1.5 Go 协程（goroutines）和协程（coroutines） 14.1 什么是协程 - 382 - 本文档使用 书栈(BookStack.CN) 构建 14.2 协程间的信道 在第一个例子中，协程是独立执行的，他们之间没有通信。他们必须通信才会变得更有用：彼此之间发送和接收信息

via LuaInputFilter or LuaOutputFilter are designed as three-stage non-blocking functions using coroutines to suspend and resume a function as buckets are sent down the filter chain. The core structure means of adding a Lua function as an input filter. As with output filters, input filters work as coroutines, first yielding before buffers are sent, then yielding whenever a bucket needs to be passed down means of adding a Lua function as an output filter. As with input filters, output filters work as coroutines, first yielding before buffers are sent, then yielding whenever a bucket needs to be passed down

via LuaInputFilter or LuaOutputFilter are designed as three-stage non-blocking functions using coroutines to suspend and resume a function as buckets are sent down the filter chain. The core structure means of adding a Lua function as an input filter. As with output filters, input filters work as coroutines, first yielding before buffers are sent, then yielding whenever a bucket needs to be passed down means of adding a Lua function as an output filter. As with input filters, output filters work as coroutines, first yielding before buffers are sent, then yielding whenever a bucket needs to be passed down

via LuaInputFilter or LuaOutputFilter are designed as three-stage non-blocking functions using coroutines to suspend and resume a function as buckets are sent down the filter chain. The core structure means of adding a Lua function as an input filter. As with output filters, input filters work as coroutines, first yielding before buffers are sent, then yielding whenever a bucket needs to be passed down means of adding a Lua function as an output filter. As with input filters, output filters work as coroutines, first yielding before buffers are sent, then yielding whenever a bucket needs to be passed down

via LuaInputFilter or LuaOutputFilter are designed as three-stage non-blocking functions using coroutines to suspend and resume a function as buckets are sent down the filter chain. The core structure means of adding a Lua function as an input filter. As with output filters, input filters work as coroutines, first yielding before buffers are sent, then yielding whenever a bucket needs to be passed down means of adding a Lua function as an output filter. As with input filters, output filters work as coroutines, first yielding before buffers are sent, then yielding whenever a bucket needs to be passed down