JS event binding and event flow model case analysis
This time I will bring you a case analysis of JS event binding and event flow model. What are the precautions when using JS event binding and event flow model. The following is a practical case. Let’s take a look. .
1. JS events
(1) JS event classification
1. Mouse event :
click/dbclick/mouseover/mouseout
2. HTML event:
onload/onunload/onsubmit/onresize/onchange/onfoucs/onscroll
3. Keyboard event:
keydown: triggered when the keyboard is pressed
keypress: when the keyboard is pressed and lifted Triggered instantly.
keyup: trigger when keyboard is raised
[Notes]
①Execution sequence: keydown keypress keyup
②keypress can only capture numbers, letters, and symbol keys, but not functions key.
③When long pressing, execute keydown--keypress in loop
④If there is keydown, there is not necessarily keyup. When the focus is lost when long pressing, keyup will no longer be triggered
⑤keypress is case-sensitive, keydown, kewup are not different.
4. Event factor:
When an event is triggered, the event will pass in a parameter by default to the function called by the event.
This parameter is a Event factors contain various detailed information of the event.
document.onkeydown=function(e){ console.log(e); } document.onkeydown=function(){ console.log(window.event); }
//兼容浏览器的写法: document.onkeydown=function(e){ e==e||Window.event; var Code=e.keyCode||e.which||e.charCode; if(code==13){ //回车 } }
5. How to determine the keyboard keys?
①In the re-starting function, receive the event factor e.
② You can use e.key to directly go to the pressed key character (not recommended).
③You can use keyCode/which/charCode to get the ASCII code value of the key.
(Compatible with writing methods of various browsers)
var Code=e.keyCode||e.which||e.charCode; //判断组合键 var isAlt=0,isEnt=0; document.onkeyup=function(e){ if(e.keyCode==18){ isAlt=1; } if(e.keyCode==13){ isEnt=1; } if(isAlt==1&&isEnt==1){ alert("同时按下Alt和Enter键"); } } document.onkeyup=function(){ console.log("keyup"); } document.onkeypress=function(){ console.log("keypress"); } document.onkeydown=function(){ console.log("keydown"); } document.onkeypress=function(){ console.log(window.event); } //判断是否按下了回车键 document.onkeydown=function(e){ var code=e.keyCode; if(code==13){ alert("你输入的是回车键"); } }
2. EventBinding model
(1) DOM0 event model
Notes on binding:
①Use window.onload to bind after loading is complete.
window.onload =function(){//Event}
②Place it behind the body for binding.
//body内容 <body> <button onclick="func()">内联模型绑定</button> <button id="btn1">哈哈哈哈</button> <button id="btn2">DOM2模型绑定</button> <button id="btn3">取消DOM2</button> </body>
1. Inline model (inline binding): Use the function name directly as the attribute value of the attribute in the html tag.
<button onclick="func()">内联模型绑定</button>
Disadvantages: It does not comply with the basic specifications of the w3c on the separation of content and behavior.
2. Script model (dynamic binding): Select a node in JS and then add the onclick attribute to the node.
document.getElementById("btn1")=function(){}
Advantages: It complies with the basic specifications of the w3c on the separation of content and behavior, and realizes the separation of html and js.
Disadvantages: The same type of event can only be added once to the same node. If added multiple times, the last one will take effect.
document.getElementById("btn1").onclick=function(){ alert(1234); } document.getElementById("btn1").onclick=function(){ alert(234); }//重复的只能出现最近的一次
3.DOM0 has a common shortcoming: events bound through DOM0 cannot be canceled once bound.
document.getElementById("btn3").onclick=function(){//不能取消匿名函数 if(btn.detachEvent){ btn.detachEvent("onclick",func1); }else{ btn.removeEventListener("click",func1); } alert("取消DOM2"); }
(2) DOM2 event model
1. Add DOM2 event binding:
①Before IE8, use .attachEvent("onclick", function);
②After IE8, use .addEventListener("click", function, true/false);
Parameter three: false (default) means event bubbling, passing in true means event capture.
③ Compatible with all browser processing methods:
var btn=document.getElementById("btn1"); if(btn.attachEvent){ btn.attachEvent("onclick",func1);//事件,事件需要执行的函数IE8可以 }else{ btn.attachEventListener("click",func1); }
2. Advantages of DOM2 binding:
① The same node can be bound to multiple events of the same type using DOM2.
②Events bound using DOM2 can be canceled with special functions.
3. Cancel event binding:
① Use attachEvent to bind and use detachevent to cancel.
②Use attachEventListener to bind and use removeEventListenter to cancel.
Note: If the event bound to DOM2 needs to be canceled, when binding the event, the callback function must be a function name,
and cannot be an anonymous function, because when the event is canceled, the callback function Enter the function name to cancel.
3. JS event flow model
(1) Event flow model in JS
1. 事件冒泡(fasle/不写):当触发一个节点的事件是,会从当前节点开始,依次触发其祖先节点的同类型事件,直到DOM根节点。
2. 事件捕获(true):当初发一个节点的事件时,会从DOM根节点开始,依次触发其祖先节点的同类型事件,直到当前节点自身。
3. 什么时候事件冒泡?什么时候事件捕获?
① 当使用addEventListener绑定事件,第三个参数传为true时表示事件捕获;
② 除此之外的所有事件绑定均为事件冒泡。
4. 阻止事件冒泡:
① IE10之前,e.cancelBubble = true;
② IE10之后,e.stopPropagation();
5. 阻止默认事件:
① IE10之前:e.returnValue = false;
② IE10之后:e.preventDefault();
//css #p1{ width: 300px;; height: 300px; background-color: powderblue; } #p2{ width: 200px; height: 200px; background-color: deeppink; } #p3{ width: 100px; height: 100px; background-color:#A9A9A9; } //html <p id="p1"> <p id="p2"> <p id="p3"></p> </p> </p> <a href="01-事件笔记.html" rel="external nofollow" onclick="func()">超链接</a> p1.addEventListener("click",function(){ console.log("p1 click"); },false); p2.addEventListener("click",function(){ console.log("p2 click"); },false); p3.addEventListener("click",function(){ //原来的顺序是:3-->2-->1。 // myParagraphEventHandler(); //截获事件流后,只触发3.但是从2开始依然会冒泡; console.log("p3 click"); },false);
结果(事件冒泡)(由小到大p3-》p2-》p1):
p1.addEventListener("click",function(){ console.log("p1 click"); },true); p2.addEventListener("click",function(){ console.log("p2 click"); },true); p3.addEventListener("click",function(){ // myParagraphEventHandler(); //截获事件流后,只触发3.但是从2开始依然会冒泡; console.log("p3 click"); },true);
结果(事件捕获)(由小到大p3-》p2-》p1):
//依然遵循事件冒泡 document.onclick=function(){ console.log("document click") } //截获事件流阻止事件冒泡 function myParagraphEventHandler(e) { e = e || window.event; if (e.stopPropagation) { e.stopPropagation(); //IE10以后 } else { e.cancelBubble = true; //IE10之前 } } //截获事件流阻止事件冒泡 function myParagraphEventHandler(e) { e = e || window.event; if (e.stopPropagation) { e.stopPropagation(); //IE10以后 } else { e.cancelBubble = true; //IE10之前 } } //阻止默认事件 function eventHandler(e) { e = e || window.event; // 防止默认行为 if (e.preventDefault) { e.preventDefault(); //IE10之后 } else { e.returnValue = false; //IE10之前 } }
相信看了本文案例你已经掌握了方法,更多精彩请关注php中文网其它相关文章!
推荐阅读:
The above is the detailed content of JS event binding and event flow model case analysis. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Imagine an artificial intelligence model that not only has the ability to surpass traditional computing, but also achieves more efficient performance at a lower cost. This is not science fiction, DeepSeek-V2[1], the world’s most powerful open source MoE model is here. DeepSeek-V2 is a powerful mixture of experts (MoE) language model with the characteristics of economical training and efficient inference. It consists of 236B parameters, 21B of which are used to activate each marker. Compared with DeepSeek67B, DeepSeek-V2 has stronger performance, while saving 42.5% of training costs, reducing KV cache by 93.3%, and increasing the maximum generation throughput to 5.76 times. DeepSeek is a company exploring general artificial intelligence

AI is indeed changing mathematics. Recently, Tao Zhexuan, who has been paying close attention to this issue, forwarded the latest issue of "Bulletin of the American Mathematical Society" (Bulletin of the American Mathematical Society). Focusing on the topic "Will machines change mathematics?", many mathematicians expressed their opinions. The whole process was full of sparks, hardcore and exciting. The author has a strong lineup, including Fields Medal winner Akshay Venkatesh, Chinese mathematician Zheng Lejun, NYU computer scientist Ernest Davis and many other well-known scholars in the industry. The world of AI has changed dramatically. You know, many of these articles were submitted a year ago.

The performance of JAX, promoted by Google, has surpassed that of Pytorch and TensorFlow in recent benchmark tests, ranking first in 7 indicators. And the test was not done on the TPU with the best JAX performance. Although among developers, Pytorch is still more popular than Tensorflow. But in the future, perhaps more large models will be trained and run based on the JAX platform. Models Recently, the Keras team benchmarked three backends (TensorFlow, JAX, PyTorch) with the native PyTorch implementation and Keras2 with TensorFlow. First, they select a set of mainstream

Boston Dynamics Atlas officially enters the era of electric robots! Yesterday, the hydraulic Atlas just "tearfully" withdrew from the stage of history. Today, Boston Dynamics announced that the electric Atlas is on the job. It seems that in the field of commercial humanoid robots, Boston Dynamics is determined to compete with Tesla. After the new video was released, it had already been viewed by more than one million people in just ten hours. The old people leave and new roles appear. This is a historical necessity. There is no doubt that this year is the explosive year of humanoid robots. Netizens commented: The advancement of robots has made this year's opening ceremony look like a human, and the degree of freedom is far greater than that of humans. But is this really not a horror movie? At the beginning of the video, Atlas is lying calmly on the ground, seemingly on his back. What follows is jaw-dropping

Earlier this month, researchers from MIT and other institutions proposed a very promising alternative to MLP - KAN. KAN outperforms MLP in terms of accuracy and interpretability. And it can outperform MLP running with a larger number of parameters with a very small number of parameters. For example, the authors stated that they used KAN to reproduce DeepMind's results with a smaller network and a higher degree of automation. Specifically, DeepMind's MLP has about 300,000 parameters, while KAN only has about 200 parameters. KAN has a strong mathematical foundation like MLP. MLP is based on the universal approximation theorem, while KAN is based on the Kolmogorov-Arnold representation theorem. As shown in the figure below, KAN has

The latest video of Tesla's robot Optimus is released, and it can already work in the factory. At normal speed, it sorts batteries (Tesla's 4680 batteries) like this: The official also released what it looks like at 20x speed - on a small "workstation", picking and picking and picking: This time it is released One of the highlights of the video is that Optimus completes this work in the factory, completely autonomously, without human intervention throughout the process. And from the perspective of Optimus, it can also pick up and place the crooked battery, focusing on automatic error correction: Regarding Optimus's hand, NVIDIA scientist Jim Fan gave a high evaluation: Optimus's hand is the world's five-fingered robot. One of the most dexterous. Its hands are not only tactile

Target detection is a relatively mature problem in autonomous driving systems, among which pedestrian detection is one of the earliest algorithms to be deployed. Very comprehensive research has been carried out in most papers. However, distance perception using fisheye cameras for surround view is relatively less studied. Due to large radial distortion, standard bounding box representation is difficult to implement in fisheye cameras. To alleviate the above description, we explore extended bounding box, ellipse, and general polygon designs into polar/angular representations and define an instance segmentation mIOU metric to analyze these representations. The proposed model fisheyeDetNet with polygonal shape outperforms other models and simultaneously achieves 49.5% mAP on the Valeo fisheye camera dataset for autonomous driving

Project link written in front: https://nianticlabs.github.io/mickey/ Given two pictures, the camera pose between them can be estimated by establishing the correspondence between the pictures. Typically, these correspondences are 2D to 2D, and our estimated poses are scale-indeterminate. Some applications, such as instant augmented reality anytime, anywhere, require pose estimation of scale metrics, so they rely on external depth estimators to recover scale. This paper proposes MicKey, a keypoint matching process capable of predicting metric correspondences in 3D camera space. By learning 3D coordinate matching across images, we are able to infer metric relative
