• Jan 26, 2023 •AustinLeath
0 likes • 6 views
function printHeap(heap, index, level) { if (index >= heap.length) { return; } console.log(" ".repeat(level) + heap[index]); printHeap(heap, 2 * index + 1, level + 1); printHeap(heap, 2 * index + 2, level + 1); } //You can call this function by passing in the heap array and the index of the root node, which is typically 0, and level = 0. let heap = [3, 8, 7, 15, 17, 30, 35, 2, 4, 5, 9]; printHeap(heap,0,0)
• Feb 5, 2021 •LeifMessinger
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class Timer{ start(){ this.startTime = Date.now(); } stop(){ const dt = Date.now() - this.startTime; console.log(dt); return dt; } getExecTime(fun, asynchronous){ return asynchronous ? this.getAsyncExecTime(fun) : this.getSyncExecTime(fun); } getSyncExecTime(fun){ this.start(); fun(); return this.stop(); } async getAsyncExecTime(fun){ this.start(); await fun(); return this.stop(); } static average(fun, numTimes, asynchronous = false){ const times = []; const promises = []; let timer = new Timer(); if(asynchronous){ for(let i = 0; i < numTimes; i++){ timer.getAsyncExecTime(fun); } }else{ for(let i = 0; i < numTimes; i++){ timer.getSyncExecTime(fun); } } return (times => times.reduce(((sum, acc) => sume + acc), 0) / times.length); } static async timeAsync(fun, numTimes){ if(numTimes <= 1) return new Timer().getAsyncExecTime(fun); const promises = []; let timer = new Timer(true); for(let i = 0; i < numTimes; i++){ promises.push(fun().catch((e)=>{})); } try{ await Promise.all(promises).catch((e)=>{}); }catch(e){ //do absolutely nothing } return timer.stop(); } constructor(start = false){ if(start) this.start(); } }
• Feb 21, 2025 •leafboo
console.log("hello world")
• Nov 18, 2022 •AustinLeath
//use this with canvas file finder function NewTab(testing) { window.open(testing, "_blank"); } for(test in results) { var testing = 'https://unt.instructure.com/files/' + test + '/download'; NewTab(testing); }
• Nov 19, 2022 •CodeCatch
0 likes • 0 views
// promisify(f, true) to get array of results function promisify(f, manyArgs = false) { return function (...args) { return new Promise((resolve, reject) => { function callback(err, ...results) { // our custom callback for f if (err) { reject(err); } else { // resolve with all callback results if manyArgs is specified resolve(manyArgs ? results : results[0]); } } args.push(callback); f.call(this, ...args); }); }; } // usage: f = promisify(f, true); f(...).then(arrayOfResults => ..., err => ...);
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const kMeans = (data, k = 1) => { const centroids = data.slice(0, k); const distances = Array.from({ length: data.length }, () => Array.from({ length: k }, () => 0) ); const classes = Array.from({ length: data.length }, () => -1); let itr = true; while (itr) { itr = false; for (let d in data) { for (let c = 0; c < k; c++) { distances[d][c] = Math.hypot( ...Object.keys(data[0]).map(key => data[d][key] - centroids[c][key]) ); } const m = distances[d].indexOf(Math.min(...distances[d])); if (classes[d] !== m) itr = true; classes[d] = m; } for (let c = 0; c < k; c++) { centroids[c] = Array.from({ length: data[0].length }, () => 0); const size = data.reduce((acc, _, d) => { if (classes[d] === c) { acc++; for (let i in data[0]) centroids[c][i] += data[d][i]; } return acc; }, 0); for (let i in data[0]) { centroids[c][i] = parseFloat(Number(centroids[c][i] / size).toFixed(2)); } } } return classes; }; kMeans([[0, 0], [0, 1], [1, 3], [2, 0]], 2); // [0, 1, 1, 0]