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Recently, I stumbled across an interesting question. I want to randomly set the value of the animation-duration. This is a non-random example: Watch this Robin Rendle (@robinrendle) on the codepen example of CSS random number # #. This is an animation I wrote in CSS: @keyframes Flicker { 0% { opacity:1; } 100% { opacity:0; }} #red { animation:flicker 2s ease alternate infinite;} Currently working well. But there is no randomization, and th

JavaScript to access and manipulate this variable: var time = Math.random (); Here we can find the red circle created using SVG and use SetProperty to change the value of--animation-time. var red = document.queryselector (' #red '); Red.style.setProperty ('--animation-time ', time + ' s '); Look at this! A random number has been set to the SVG animation element: Look at this Robin Rendle (@robinrendle) written on the Codepen example CSS random number

Extract and integrate the key CSS in HTML. Htmlhtmlminifier Htmlminifier is a highly configurable, well-tested, JavaScript-based HTML compression tool with a built-in Code review Class tool. Gulp-htmlmin The Gulp plugin for compressing HTML. Grunt-contrib-htmlmin The grunt plugin for compressing HTML. Javascriptuglifyjs JavaScript parser, obfuscation, compression, and beautification toolset. It can also be integrated into Gru

more efficient methods and create complex Effects. Vue provides an intuitive and flexible API, not just to create a component-only front-end architecture, but also to smooth motion and seamlessly connect the Views.SummarizeThis series of articles is not intended to be a document. While We've talked a lot, there are still a lot of things that aren't covered: routing, mixins, server rendering, and so On. There are so many amazing things that can be used. In-depth study, you can see the detailed o

inter_1 = datamatrix[x] * v inter_2 = multiply (datamatrix[x], Datamatrix [x]) * Multiply (V, v) #multiply对应元素相乘 #完成交叉项 interaction = SUM (Multiply (inter_1, inter_1)-inter_2)/2. p = w_0 + datamatrix[x] * w + interaction# calculate predicted output pre = sigmoid (p[0, 0]) result.append ( PRE) if pre 2. Experimental results:Five, some questionson traditional non-sparse datasets, sometimes the effect is not very good. In the experiment, I had a little bit of processing, that is, in solving