Observable.of(1, 2, 3)

.map {

$0 * $0

}

.subscribe(onNext: { print($0) })

.disposed(by: disposeBag)

Map.swift

extension ObservableType

public func map<R>(_ transform: @escaping (E) throws -> R)

-> Observable<R> {

return self.asObservable().composeMap(transform)

}

Observable.swift

public class Observable<Element> : ObservableType

public func asObservable() -> Observable<E> {

return self

}

Observable.swift

public class Observable<Element> : ObservableType

internal func composeMap<R>(_ transform: @escaping (Element) throws -> R) -> Observable<R> {

return _map(source: self, transform: transform)

}

//纯函数

internal func _map<Element, R>(source: Observable<Element>, transform: @escaping (Element) throws -> R) -> Observable<R> {

return Map(source: source, transform: transform)

}

final fileprivate class Map<SourceType, ResultType>: Producer<ResultType>

init(source: Observable<SourceType>, transform: @escaping Transform) {

_source = source

_transform = transform

#if TRACE_RESOURCES

let _ = AtomicIncrement(&_numberOfMapOperators)

#endif

}

----------------------

.subscribe(onNext: {

print($0)

}

extension ObservableType

public func subscribe(onNext: ((E) -> Void)? = nil, onError: ((Swift.Error) -> Void)? = nil, onCompleted: (() -> Void)? = nil, onDisposed: (() -> Void)? = nil)

class Producer<Element> : Observable<Element>

override func subscribe<O : ObserverType>(_ observer: O) -> Disposable where O.E == Element

return CurrentThreadScheduler.instance.schedule(()) { _ in

let disposer = SinkDisposer()

let sinkAndSubscription = self.run(observer, cancel: disposer)

disposer.setSinkAndSubscription(sink: sinkAndSubscription.sink, subscription: sinkAndSubscription.subscription)

return disposer

}

final fileprivate class Map<SourceType, ResultType>: Producer<ResultType>

override func run<O: ObserverType>(_ observer: O, cancel: Cancelable) -> (sink: Disposable, subscription: Disposable) where O.E == ResultType {

let sink = MapSink(transform: _transform, observer: observer, cancel: cancel)

let subscription = _source.subscribe(sink)

return (sink: sink, subscription: subscription)

}

class Producer<Element> : Observable<Element>

override func subscribe<O : ObserverType>(_ observer: O) -> Disposable where O.E == Element {

if !CurrentThreadScheduler.isScheduleRequired {

// The returned disposable needs to release all references once it was disposed.

let disposer = SinkDisposer()

let sinkAndSubscription = run(observer, cancel: disposer)

disposer.setSinkAndSubscription(sink: sinkAndSubscription.sink, subscription: sinkAndSubscription.subscription)

return disposer

}

final fileprivate class MapSink<SourceType, O : ObserverType> : Sink<O>, ObserverType

init(transform: @escaping Transform, observer: O, cancel: Cancelable) {

_transform = transform

super.init(observer: observer, cancel: cancel)

}

-----------------------------

map {

$0 * $0

}

final fileprivate class ObservableSequenceSink<S: Sequence, O: ObserverType> : Sink<O> where S.Iterator.Element == O.E

func run() -> Disposable {

return _parent._scheduler.scheduleRecursive((_parent._elements.makeIterator(), _parent._elements)) { (iterator, recurse) in

var mutableIterator = iterator

if let next = mutableIterator.0.next() {

self.forwardOn(.next(next))

recurse(mutableIterator)

}

else {

self.forwardOn(.completed)

self.dispose()

}

}

}

class Sink<O : ObserverType> : Disposable

final func forwardOn(_ event: Event<O.E>) {

#if DEBUG

_synchronizationTracker.register(synchronizationErrorMessage: .default)

defer { _synchronizationTracker.unregister() }

#endif

if _disposed {

return

}

_observer.on(event)

}

final fileprivate class MapSink<SourceType, O : ObserverType> : Sink<O>, ObserverType

func on(_ event: Event<SourceType>) {

switch event {

case .next(let element):

do {

let mappedElement = try _transform(element)

forwardOn(.next(mappedElement))

}

catch let e {

forwardOn(.error(e))

dispose()

}

case .error(let error):

forwardOn(.error(error))

dispose()

case .completed:

forwardOn(.completed)

dispose()

}

}

$0 * $0

---------------------------

print($0)

final fileprivate class MapSink<SourceType, O : ObserverType> : Sink<O>, ObserverType

func on(_ event: Event<SourceType>) {

switch event {

case .next(let element):

do {

let mappedElement = try _transform(element)

forwardOn(.next(mappedElement))

}

catch let e {

forwardOn(.error(e))

dispose()

}

case .error(let error):

forwardOn(.error(error))

dispose()

case .completed:

forwardOn(.completed)

dispose()

}

}

class Sink<O : ObserverType> : Disposable

final func forwardOn(_ event: Event<O.E>) {

#if DEBUG

_synchronizationTracker.register(synchronizationErrorMessage: .default)

defer { _synchronizationTracker.unregister() }

#endif

if _disposed {

return

}

_observer.on(event)

}

class ObserverBase<ElementType> : Disposable, ObserverType

func on(_ event: Event<E>) {

switch event {

case .next:

if _isStopped == 0 {

onCore(event)

}

case .error, .completed:

if AtomicCompareAndSwap(0, 1, &_isStopped) {

onCore(event)

}

}

}

final class AnonymousObserver<ElementType> : ObserverBase<ElementType>

override func onCore(_ event: Event<Element>) {

return _eventHandler(event)

}

extension ObservableType

public func subscribe(onNext: ((E) -> Void)? = nil, onError: ((Swift.Error) -> Void)? = nil, onCompleted: (() -> Void)? = nil, onDisposed: (() -> Void)? = nil)

let observer = AnonymousObserver<E> { event in

synchronizationTracker.register(synchronizationErrorMessage: .default)

defer { synchronizationTracker.unregister() }

switch event {

case .next(let value):

onNext?(value)

case .error(let error):

if let onError = onError {

onError(error)

}

else {

Hooks.defaultErrorHandler(callStack, error)

}

disposable.dispose()

case .completed:

onCompleted?()

disposable.dispose()

}

}

print($0)

map 解析的更多相关文章

  1. 几种线程安全的Map解析

    转载自 面试必问-几种线程安全的Map解析 HashMap线程安全的吗? Java中平时用的最多的Map集合就是HashMap了,它是线程不安全的. 看下面两个场景: 1.当用在方法内的局部变量时,局 ...

  2. Bit Map解析

    1. Bit Map算法简介 来自于<编程珠玑>.所谓的Bit-map就是用一个bit位来标记某个元素对应的Value, 而Key即是该元素.由于采用了Bit为单位来存储数据,因此在存储空 ...

  3. json数组和json字符串转换成map解析

    package demo; import java.util.List;import java.util.Map;import java.util.Map.Entry; import net.sf.j ...

  4. 解析特殊格式的xml到map

    由于项目特殊,需要解析的xml文档样式特别,所以自己写了一个解析特殊xml的方法 先提供xml样式 <?xml version="1.0" encoding="UT ...

  5. Java中json的构造和解析

    什么是 Json? JSON(JvaScript Object Notation)(官网网站:http://www.json.org/)是 一种轻量级的数据交换格式.  易于人阅读和编写.同时也易于机 ...

  6. 高性能Java解析器实现过程详解

    如果你没有指定数据或语言标准的或开源的Java解析器, 可能经常要用Java实现你自己的数据或语言解析器.或者,可能有很多解析器可选,但是要么太慢,要么太耗内存,或者没有你需要的特定功能.或者开源解析 ...

  7. java后台对json格式数据的解析

    Json 和 Jsonlib 的使用 什么是 Json JSON(JvaScript Object Notation)(官网网站:http://www.json.org/)是 一种轻量级的数据交换格式 ...

  8. java 微信开发 常用工具类(xml传输和解析 json转换对象)

    与微信通信常用工具(xml传输和解析) package com.lownsun.wechatOauth.utl; import java.io.IOException; import java.io. ...

  9. SpringBoot @Value 解析集合配置

    引自:https://jitwxs.cn/d6d760c4.html 一.前言 在日常开发中,经常会遇到需要在配置文件中,存储 List 或是 Map 这种类型的数据.Spring 原生是支持这种数据 ...

随机推荐

  1. python-flask-1

    https://askubuntu.com/questions/244641/how-to-set-up-and-use-a-virtual-python-environment-in-ubuntu ...

  2. apache下部署showdoc

    1. 安装apache2服务器sudo apt-get install apache2 2. 安装php环境 sudo apt-get install php7.1 libapache2-mod-ph ...

  3. Spring Boot-整合redis(六)

    redis安装 参考:https://www.cnblogs.com/LQBlog/p/9214517.html 单机版 1.添加pom依赖 <!-- Spring Boot Reids 依赖 ...

  4. 洛谷 P2709 BZOJ 3781 小B的询问

    题目描述 小B有一个序列,包含N个1~K之间的整数.他一共有M个询问,每个询问给定一个区间[L..R],求$\sum_1^Kc_i^2$的值,其中$c_i$表示数字i在[L..R]中的重复次数.小B请 ...

  5. Thread.suspend和println使线程死锁

    Thread.suspend和println使线程死锁 package com.stono.thread2.page39; public class MyThread extends Thread{ ...

  6. codeforces Round #258(div2) C解题报告

    C. Predict Outcome of the Game time limit per test 2 seconds memory limit per test 256 megabytes inp ...

  7. TI C66x DSP 系统events及其应用 - 5.6(INTMUX)

    系统event 0~127(包含了eventCombiner的输出event 0~3)与CPU支持的12个可屏蔽中断是通过INTMUX寄存器进行映射的(不包含NMI.RESET).能够选择将系统eve ...

  8. C# List数据批量更新

    针对单条数据一般都是update语句直接更新 例如:update UserTable set UserName='小名'   where userid=xxx 但是如果是针对List数据组进行更新的话 ...

  9. android性能測试systrace

    一:简单介绍 systrace 是 Android4.1 引入的一套用于做性能分析的工具. 基于 Linux 内核的 ftrace 机制(用于跟踪 Linux 内核的函数调用), 能够输出各个线程当前 ...

  10. 改你MB需求!

    改你MB需求! 原创 2015-12-08 尖峰视界 尖峰视界 我敏锐的觉察到,产品经理的头像開始闪动了.在0.1秒的时间内,我全身的血液都冲向了大脑.果然.右上角弹出了文件传输窗体. "最 ...