31:T61a,function* rotate() { const context=createContext(image) let input=context.getImageData(0, 0, width, height) let output=context.createImageData(width, height); let raw=[], count=0, Kj=0 const alpha=0.0001 while (count<5000) { for (let y=1; yReplay`","pinned":false,"hidden":false,"mode":"ojs"},{"id":120,"value":"{\n replay\n await visibility()\n yield* rotate()\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1348,"value":"md`Such simple ideas have interesting applications in modern day machine learning. See https://observablehq.com/@liuyao12/neural-networks-and-partial-differential-equations\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":119,"value":"$31","pinned":true,"hidden":false,"mode":"ojs"},{"id":5,"value":"image = new Promise((resolve, reject)=>{\n const image = new Image;\n image.style=\"max-width: 100%; display: block;\";\n image.crossOrigin=\"anonymous\";\n image.onerror=reject;\n image.onload=()=>resolve(image);\n image.src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg/402px-Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg\";\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":228,"value":"function createContext(image) {\n const context=DOM.context2d(width, height, 1);\n context.canvas.style=\"max-width: 100%;\";\n context.drawImage(image, 0, 0, width, height);\n return context;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":10,"value":"width = 400","pinned":true,"hidden":false,"mode":"ojs"},{"id":11,"value":"height = Math.round(width/image.naturalWidth*image.naturalHeight)","pinned":true,"hidden":false,"mode":"ojs"},{"id":345,"value":"d3 = require(\"d3-color@1\", \"d3-scale-chromatic@1\")","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W32","stdlib":"1","titling":"auto"}