• Oct 15, 2022 •CodeCatch
1 like • 311 views
const express = require('express') const app = express() const port = 3000 app.get('/', (req, res) => { res.send('Hello World!') }) app.listen(port, () => { console.log(`Example app listening on port ${port}`) })
• Nov 19, 2022 •CodeCatch
0 likes • 0 views
const bucketSort = (arr, size = 5) => { const min = Math.min(...arr); const max = Math.max(...arr); const buckets = Array.from( { length: Math.floor((max - min) / size) + 1 }, () => [] ); arr.forEach(val => { buckets[Math.floor((val - min) / size)].push(val); }); return buckets.reduce((acc, b) => [...acc, ...b.sort((a, b) => a - b)], []); }; bucketSort([6, 3, 4, 1]); // [1, 3, 4, 6]
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const getSubsets = arr => arr.reduce((prev, curr) => prev.concat(prev.map(k => k.concat(curr))), [[]]); // Examples getSubsets([1, 2]); // [[], [1], [2], [1, 2]] getSubsets([1, 2, 3]); // [[], [1], [2], [1, 2], [3], [1, 3], [2, 3], [1, 2, 3]]
• 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)
• Sep 13, 2023 •C S
0 likes • 11 views
/** * @param {number[]} nums * @return {number[]} */ var productExceptSelf = function(nums) { var output = []; var leftMult = 1; var rightMult = 1; for (var i=nums.length - 1; i >= 0; i--) { output[i] = rightMult; rightMult *= nums[i]; console.log({output: JSON.stringify(output), i}) } for (var j=0; j < nums.length; j++) { output[j] *= leftMult; leftMult *= nums[j]; console.log({output: JSON.stringify(output), j}) } return output; }; console.log(productExceptSelf([1, 2, 3, 4]))
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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]