Functions

Introduction #

Functions are the fundamental building block of any application in JavaScript. They’re how you build up layers of abstraction, mimicking classes, information hiding, and modules. In TypeScript, while there are classes, namespaces, and modules, functions still play the key role in describing how to do things. TypeScript also adds some new capabilities to the standard JavaScript functions to make them easier to work with.

Functions #

To begin, just as in JavaScript, TypeScript functions can be created both as a named function or as an anonymous function. This allows you to choose the most appropriate approach for your application, whether you’re building a list of functions in an API or a one-off function to hand off to another function.

To quickly recap what these two approaches look like in JavaScript:

// Named function
function add(x, y) {
return x + y;
} // Anonymous function
let myAdd = function(x, y) { return x + y; };

Just as in JavaScript, functions can refer to variables outside of the function body. When they do so, they’re said to capture these variables. While understanding how this works (and the trade-offs when using this technique) is outside of the scope of this article, having a firm understanding how this mechanic works is an important piece of working with JavaScript and TypeScript.

let z = 100;

function addToZ(x, y) {
return x + y + z;
}

Function Types #

Typing the function #

Let’s add types to our simple examples from earlier:

function add(x: number, y: number): number {
return x + y;
} let myAdd = function(x: number, y: number): number { return x + y; };

We can add types to each of the parameters and then to the function itself to add a return type. TypeScript can figure the return type out by looking at the return statements, so we can also optionally leave this off in many cases.

Writing the function type #

Now that we’ve typed the function, let’s write the full type of the function out by looking at each piece of the function type.

let myAdd: (x: number, y: number) => number =
function(x: number, y: number): number { return x + y; };

A function’s type has the same two parts: the type of the arguments and the return type. When writing out the whole function type, both parts are required. We write out the parameter types just like a parameter list, giving each parameter a name and a type. This name is just to help with readability. We could have instead written:

let myAdd: (baseValue: number, increment: number) => number =
function(x: number, y: number): number { return x + y; };

As long as the parameter types line up, it’s considered a valid type for the function, regardless of the names you give the parameters in the function type.

The second part is the return type. We make it clear which is the return type by using a fat arrow (=>) between the parameters and the return type. As mentioned before, this is a required part of the function type, so if the function doesn’t return a value, you would use void instead of leaving it off.

Of note, only the parameters and the return type make up the function type. Captured variables are not reflected in the type. In effect, captured variables are part of the “hidden state” of any function and do not make up its API.

Inferring the types #

In playing with the example, you may notice that the TypeScript compiler can figure out the type even if you only have types on one side of the equation:

// myAdd has the full function type
let myAdd = function(x: number, y: number): number { return x + y; }; // The parameters 'x' and 'y' have the type number
let myAdd: (baseValue: number, increment: number) => number =
function(x, y) { return x + y; };

This is called “contextual typing”, a form of type inference. This helps cut down on the amount of effort to keep your program typed.

Optional and Default Parameters #

In TypeScript, every parameter is assumed to be required by the function. This doesn’t mean that it can’t be given null or undefined, but rather, when the function is called, the compiler will check that the user has provided a value for each parameter. The compiler also assumes that these parameters are the only parameters that will be passed to the function. In short, the number of arguments given to a function has to match the number of parameters the function expects.

function buildName(firstName: string, lastName: string) {
return firstName + " " + lastName;
} let result1 = buildName("Bob"); // error, too few parameters
let result2 = buildName("Bob", "Adams", "Sr."); // error, too many parameters
let result3 = buildName("Bob", "Adams"); // ah, just right

In JavaScript, every parameter is optional, and users may leave them off as they see fit. When they do, their value is undefined. We can get this functionality in TypeScript by adding a ? to the end of parameters we want to be optional. For example, let’s say we want the last name parameter from above to be optional:

function buildName(firstName: string, lastName?: string) {
if (lastName)
return firstName + " " + lastName;
else
return firstName;
} let result1 = buildName("Bob"); // works correctly now
let result2 = buildName("Bob", "Adams", "Sr."); // error, too many parameters
let result3 = buildName("Bob", "Adams"); // ah, just right

Any optional parameters must follow required parameters. Had we wanted to make the first name optional, rather than the last name, we would need to change the order of parameters in the function, putting the first name last in the list.

In TypeScript, we can also set a value that a parameter will be assigned if the user does not provide one, or if the user passes undefined in its place. These are called default-initialized parameters. Let’s take the previous example and default the last name to "Smith".

function buildName(firstName: string, lastName = "Smith") {
return firstName + " " + lastName;
} let result1 = buildName("Bob"); // works correctly now, returns "Bob Smith"
let result2 = buildName("Bob", undefined); // still works, also returns "Bob Smith"
let result3 = buildName("Bob", "Adams", "Sr."); // error, too many parameters
let result4 = buildName("Bob", "Adams"); // ah, just right

Default-initialized parameters that come after all required parameters are treated as optional, and just like optional parameters, can be omitted when calling their respective function. This means optional parameters and trailing default parameters will share commonality in their types, so both

function buildName(firstName: string, lastName?: string) {
// ...
}

and

function buildName(firstName: string, lastName = "Smith") {
// ...
}

share the same type (firstName: string, lastName?: string) => string. The default value of lastName disappears in the type, only leaving behind the fact that the parameter is optional.

Unlike plain optional parameters, default-initialized parameters don’t need to occur after required parameters. If a default-initialized parameter comes before a required parameter, users need to explicitly pass undefined to get the default initialized value. For example, we could write our last example with only a default initializer on firstName:

function buildName(firstName = "Will", lastName: string) {
return firstName + " " + lastName;
} let result1 = buildName("Bob"); // error, too few parameters
let result2 = buildName("Bob", "Adams", "Sr."); // error, too many parameters
let result3 = buildName("Bob", "Adams"); // okay and returns "Bob Adams"
let result4 = buildName(undefined, "Adams"); // okay and returns "Will Adams"

Rest Parameters #

Required, optional, and default parameters all have one thing in common: they talk about one parameter at a time. Sometimes, you want to work with multiple parameters as a group, or you may not know how many parameters a function will ultimately take. In JavaScript, you can work with the arguments directly using the arguments variable that is visible inside every function body.

In TypeScript, you can gather these arguments together into a variable:

function buildName(firstName: string, ...restOfName: string[]) {
return firstName + " " + restOfName.join(" ");
} // employeeName will be "Joseph Samuel Lucas MacKinzie"
let employeeName = buildName("Joseph", "Samuel", "Lucas", "MacKinzie");

Rest parameters are treated as a boundless number of optional parameters. When passing arguments for a rest parameter, you can use as many as you want; you can even pass none. The compiler will build an array of the arguments passed in with the name given after the ellipsis (...), allowing you to use it in your function.

The ellipsis is also used in the type of the function with rest parameters:

function buildName(firstName: string, ...restOfName: string[]) {
return firstName + " " + restOfName.join(" ");
} let buildNameFun: (fname: string, ...rest: string[]) => string = buildName;

this #

Learning how to use this in JavaScript is something of a rite of passage. Since TypeScript is a superset of JavaScript, TypeScript developers also need to learn how to use this and how to spot when it’s not being used correctly. Fortunately, TypeScript lets you catch incorrect uses of this with a couple of techniques. If you need to learn how this works in JavaScript, though, first read Yehuda Katz’s Understanding JavaScript Function Invocation and “this”. Yehuda’s article explains the inner workings of this very well, so we’ll just cover the basics here.

this and arrow functions #

In JavaScript, this is a variable that’s set when a function is called. This makes it a very powerful and flexible feature, but it comes at the cost of always having to know about the context that a function is executing in. This is notoriously confusing, especially when returning a function or passing a function as an argument.

Let’s look at an example:

let deck = {
suits: ["hearts", "spades", "clubs", "diamonds"],
cards: Array(52),
createCardPicker: function() {
return function() {
let pickedCard = Math.floor(Math.random() * 52);
let pickedSuit = Math.floor(pickedCard / 13); return {suit: this.suits[pickedSuit], card: pickedCard % 13};
}
}
} let cardPicker = deck.createCardPicker();
let pickedCard = cardPicker(); alert("card: " + pickedCard.card + " of " + pickedCard.suit);

Notice that createCardPicker is a function that itself returns a function. If we tried to run the example, we would get an error instead of the expected alert box. This is because the this being used in the function created by createCardPicker will be set to window instead of our deck object. That’s because we call cardPicker() on its own. A top-level non-method syntax call like this will use window for this. (Note: under strict mode, this will be undefined rather than window).

We can fix this by making sure the function is bound to the correct this before we return the function to be used later. This way, regardless of how it’s later used, it will still be able to see the original deck object. To do this, we change the function expression to use the ECMAScript 6 arrow syntax. Arrow functions capture the this where the function is created rather than where it is invoked:

let deck = {
suits: ["hearts", "spades", "clubs", "diamonds"],
cards: Array(52),
createCardPicker: function() {
// NOTE: the line below is now an arrow function, allowing us to capture 'this' right here
return () => {
let pickedCard = Math.floor(Math.random() * 52);
let pickedSuit = Math.floor(pickedCard / 13); return {suit: this.suits[pickedSuit], card: pickedCard % 13};
}
}
} let cardPicker = deck.createCardPicker();
let pickedCard = cardPicker(); alert("card: " + pickedCard.card + " of " + pickedCard.suit);

Even better, TypeScript will warn you when you make this mistake if you pass the --noImplicitThis flag to the compiler. It will point out that this in this.suits[pickedSuit] is of type any.

this parameters #

Unfortunately, the type of this.suits[pickedSuit] is still any. That’s because this comes from the function expression inside the object literal. To fix this, you can provide an explicit this parameter. this parameters are fake parameters that come first in the parameter list of a function:

function f(this: void) {
// make sure `this` is unusable in this standalone function
}

Let’s add a couple of interfaces to our example above, Card and Deck, to make the types clearer and easier to reuse:

interface Card {
suit: string;
card: number;
}
interface Deck {
suits: string[];
cards: number[];
createCardPicker(this: Deck): () => Card;
}
let deck: Deck = {
suits: ["hearts", "spades", "clubs", "diamonds"],
cards: Array(52),
// NOTE: The function now explicitly specifies that its callee must be of type Deck
createCardPicker: function(this: Deck) {
return () => {
let pickedCard = Math.floor(Math.random() * 52);
let pickedSuit = Math.floor(pickedCard / 13); return {suit: this.suits[pickedSuit], card: pickedCard % 13};
}
}
} let cardPicker = deck.createCardPicker();
let pickedCard = cardPicker(); alert("card: " + pickedCard.card + " of " + pickedCard.suit);

Now TypeScript knows that createCardPicker expects to be called on a Deck object. That means that this is of type Deck now, not any, so --noImplicitThis will not cause any errors.

this parameters in callbacks #

You can also run into errors with this in callbacks, when you pass functions to a library that will later call them. Because the library that calls your callback will call it like a normal function, this will be undefined. With some work you can use this parameters to prevent errors with callbacks too. First, the library author needs to annotate the callback type with this:

interface UIElement {
addClickListener(onclick: (this: void, e: Event) => void): void;
}

this: void means that addClickListener expects onclick to be a function that does not require a this type. Second, annotate your calling code with this:

class Handler {
info: string;
onClickBad(this: Handler, e: Event) {
// oops, used `this` here. using this callback would crash at runtime
this.info = e.message;
}
}
let h = new Handler();
uiElement.addClickListener(h.onClickBad); // error!

With this annotated, you make it explicit that onClickBad must be called on an instance of Handler. Then TypeScript will detect that addClickListener requires a function that has this: void. To fix the error, change the type of this:

class Handler {
info: string;
onClickGood(this: void, e: Event) {
// can't use `this` here because it's of type void!
console.log('clicked!');
}
}
let h = new Handler();
uiElement.addClickListener(h.onClickGood);

Because onClickGood specifies its this type as void, it is legal to pass to addClickListener. Of course, this also means that it can’t use this.info. If you want both then you’ll have to use an arrow function:

class Handler {
info: string;
onClickGood = (e: Event) => { this.info = e.message }
}

This works because arrow functions use the outer this, so you can always pass them to something that expects this: void. The downside is that one arrow function is created per object of type Handler. Methods, on the other hand, are only created once and attached to Handler’s prototype. They are shared between all objects of type Handler.

Overloads #

JavaScript is inherently a very dynamic language. It’s not uncommon for a single JavaScript function to return different types of objects based on the shape of the arguments passed in.

let suits = ["hearts", "spades", "clubs", "diamonds"];

function pickCard(x): any {
// Check to see if we're working with an object/array
// if so, they gave us the deck and we'll pick the card
if (typeof x == "object") {
let pickedCard = Math.floor(Math.random() * x.length);
return pickedCard;
}
// Otherwise just let them pick the card
else if (typeof x == "number") {
let pickedSuit = Math.floor(x / 13);
return { suit: suits[pickedSuit], card: x % 13 };
}
} let myDeck = [{ suit: "diamonds", card: 2 }, { suit: "spades", card: 10 }, { suit: "hearts", card: 4 }];
let pickedCard1 = myDeck[pickCard(myDeck)];
alert("card: " + pickedCard1.card + " of " + pickedCard1.suit); let pickedCard2 = pickCard(15);
alert("card: " + pickedCard2.card + " of " + pickedCard2.suit);

Here, the pickCard function will return two different things based on what the user has passed in. If the users passes in an object that represents the deck, the function will pick the card. If the user picks the card, we tell them which card they’ve picked. But how do we describe this to the type system?

The answer is to supply multiple function types for the same function as a list of overloads. This list is what the compiler will use to resolve function calls. Let’s create a list of overloads that describe what our pickCard accepts and what it returns.

let suits = ["hearts", "spades", "clubs", "diamonds"];

function pickCard(x: {suit: string; card: number; }[]): number;
function pickCard(x: number): {suit: string; card: number; };
function pickCard(x): any {
// Check to see if we're working with an object/array
// if so, they gave us the deck and we'll pick the card
if (typeof x == "object") {
let pickedCard = Math.floor(Math.random() * x.length);
return pickedCard;
}
// Otherwise just let them pick the card
else if (typeof x == "number") {
let pickedSuit = Math.floor(x / 13);
return { suit: suits[pickedSuit], card: x % 13 };
}
} let myDeck = [{ suit: "diamonds", card: 2 }, { suit: "spades", card: 10 }, { suit: "hearts", card: 4 }];
let pickedCard1 = myDeck[pickCard(myDeck)];
alert("card: " + pickedCard1.card + " of " + pickedCard1.suit); let pickedCard2 = pickCard(15);
alert("card: " + pickedCard2.card + " of " + pickedCard2.suit);

With this change, the overloads now give us type checked calls to the pickCard function.

In order for the compiler to pick the correct type check, it follows a similar process to the underlying JavaScript. It looks at the overload list and, proceeding with the first overload, attempts to call the function with the provided parameters. If it finds a match, it picks this overload as the correct overload. For this reason, it’s customary to order overloads from most specific to least specific.

Note that the function pickCard(x): any piece is not part of the overload list, so it only has two overloads: one that takes an object and one that takes a number. Calling pickCard with any other parameter types would cause an error.

深入理解typescript的Functions的更多相关文章

  1. 十分钟教你理解TypeScript中的泛型

    转载请注明出处:葡萄城官网,葡萄城为开发者提供专业的开发工具.解决方案和服务,赋能开发者.原文出处:https://blog.bitsrc.io/understanding-generics-in-t ...

  2. 深入理解TypeScript——第一章:上手篇

    怎么定义TypeScript呢? TypeScript是一个工具 是一个编译器 编译代码 TypeScript,通过它的能力,默认使用tsc命令,可以根据.ts为后缀名的文件生成一个新的js文件 2. ...

  3. [TypeScript] Generic Functions, class, Type Inference and Generics

    Generic Fucntion: For example we have a set of data and an function: interface HasName { name: strin ...

  4. typescript 中的 infer 关键字的理解

    infer 这个关键字,整理记录一下,避免后面忘记了.有点难以理解呢. infer infer 是在 typescript 2.8中新增的关键字. infer 可以在 extends 条件类型的字句中 ...

  5. TypeScript 零基础入门

    前言 2015 年末看过一篇文章<ES2015 & babel 实战:开发 npm 模块>,那时刚接触 ES6 不久,发觉新的 ES6 语法大大简化了 JavaScript 程序的 ...

  6. typeScript学习随笔(一)

    TypeScript学习随笔(一) 这么久了还不没好好学习哈这么火的ts,边学边练边记吧! 啥子是TypeScript  TypeScript 是 JavaScript 的一个超集,支持 es6 标准 ...

  7. TypeScript入门七:TypeScript的枚举

    关于枚举 数字枚举 字符串枚举 异构枚举 计算的和常量成员 运行时的枚举与反向映射 常量枚举与外部枚举 一.关于枚举 枚举:一个集的枚举是列出某些有穷序列集的所有成员的程序,或者是一种特定类型对象的计 ...

  8. TypeScript入门二:基本数据类型

    浅析基本数据类型 TypeScript类型解析 一.浅析基本数据类型 首先有一个问题TypeScript是一门编译型语言?还是解释性语言?显然已经不能被这两个分类来区分,TypeScript的并不是为 ...

  9. TypeScript 源码详细解读(1)总览

    TypeScript 由微软在 2012 年 10 月首发,经过几年的发展,已经成为国内外很多前端团队的首选编程语言.前端三大框架中的 Angular 和 Vue 3 也都改用了 TypeScript ...

随机推荐

  1. Tomcat乱码或异常

    一.控制台乱码 原因:Tomcat与Windows编码不一致导致 解决办法:首先找到conf/logging.properties文件,然后打开后找到“java.util.logging.Consol ...

  2. 《Web Development with Go》JWT认证满意版

    这个比昨晚的要满意, 认证放到中间件那里了. Mux使用的是gorilla, 中间件使用的是negroni, 启动是用的negroni.classic方法. package main import ( ...

  3. 201871010113-刘兴瑞《面向对象程序设计(java)》第十七周学习总结

    项目 内容 这个作业属于哪个课程 <任课教师博客主页链接>https://www.cnblogs.com/nwnu-daizh/ 这个作业的要求在哪里 <作业链接地址>http ...

  4. JSON对象转JAVA对象--com.alibaba.fastjson.JSONObject

    打印结果:

  5. win10系统怎么设置软件开机启动

    win10开机自动启动软件设置教程: 1:在windows10桌面,右键点击桌面左下角的开始按钮,在弹出的菜单中选择运行菜单项. 2:这时就会打开windows10的运行窗口,在窗口中输入命令shel ...

  6. 汇编子程序模块化(near&far)

    1: Near 近端使用  C语言实现:  #include <stdio.h>#include <stdlib.h> void print(){ printf("p ...

  7. Idea中新建yml不显示叶子形状的原因

    IntelliJ IDEA 2019.2.4 x64 (版本),不显示叶子形状,导致写配置无法自动提示(自动提示请安装插件)Spring Assistant 先看一下Editor--->File ...

  8. 一起学SpringMVC之入门篇

    本文属于SpringMVC的入门篇,属于基础知识,仅供学习分享使用,如有不足之处,还请指正. 什么是SpringMVC ? SpringMVC是一个基于Spring的MVC框架,继承了Spring的优 ...

  9. 在Asp.Net或.Net Core中配置使用MarkDown富文本编辑器有开源模板代码(代码是.net core3.0版本)

    研究如何使用Markdown你们可能要花好几天才能搞定,但是看我的文章或者下载了源码,你搞定一般在10分钟之内.我先给各位介绍下它: Markdown 是一种轻量级标记语言,它允许人们使用易读易写的纯 ...

  10. maven仓库之第一篇

    maven jar仓库 :存放maven项目使用的jar包. 中央仓库,存放99%免费开源项目jar包,apache公司负责维护的,以T为单位的存储. 例如 : struts2-core-2.3.24 ...