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mathjs

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Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with dif

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'use strict' const isInteger = require('../../utils/number').isInteger function factory (type, config, load, typed) { const isNumeric = load(require('../utils/isNumeric')) const isNaN = load(require('../utils/isNaN')) const asc = load(require('../relational/compare')) function desc (a, b) { return -asc(a, b) } /** * Partition-based selection of an array or 1D matrix. * Will find the kth smallest value, and mutates the input array. * Uses Quickselect. * * Syntax: * * math.partitionSelect(x, k) * math.partitionSelect(x, k, compare) * * Examples: * * math.partitionSelect([5, 10, 1], 2) // returns 10 * math.partitionSelect(['C', 'B', 'A', 'D'], 1) // returns 'B' * * function sortByLength (a, b) { * return a.length - b.length * } * math.partitionSelect(['Langdon', 'Tom', 'Sara'], 2, sortByLength) // returns 'Langdon' * * See also: * * sort * * @param {Matrix | Array} x A one dimensional matrix or array to sort * @param {Number} k The kth smallest value to be retrieved zero-based index * @param {Function | 'asc' | 'desc'} [compare='asc'] * An optional comparator function. The function is called as * `compare(a, b)`, and must return 1 when a > b, -1 when a < b, * and 0 when a == b. * @return {*} Returns the kth lowest value. */ return typed('partitionSelect', { 'Array | Matrix, number': function (x, k) { return _partitionSelect(x, k, asc) }, 'Array | Matrix, number, string': function (x, k, compare) { if (compare === 'asc') { return _partitionSelect(x, k, asc) } else if (compare === 'desc') { return _partitionSelect(x, k, desc) } else { throw new Error('Compare string must be "asc" or "desc"') } }, 'Array | Matrix, number, function': _partitionSelect }) function _partitionSelect (x, k, compare) { if (!isInteger(k) || k < 0) { throw new Error('k must be a non-negative integer') } if (type.isMatrix(x)) { const size = x.size() if (size.length > 1) { throw new Error('Only one dimensional matrices supported') } return quickSelect(x.valueOf(), k, compare) } if (Array.isArray(x)) { return quickSelect(x, k, compare) } } /** * Quickselect algorithm. * Code adapted from: * https://blog.teamleadnet.com/2012/07/quick-select-algorithm-find-kth-element.html * * @param {Array} arr * @param {Number} k * @param {Function} compare * @private */ function quickSelect (arr, k, compare) { if (k >= arr.length) { throw new Error('k out of bounds') } // check for NaN values since these can cause an infinite while loop for (let i = 0; i < arr.length; i++) { if (isNumeric(arr[i]) && isNaN(arr[i])) { return arr[i] // return NaN } } let from = 0 let to = arr.length - 1 // if from == to we reached the kth element while (from < to) { let r = from let w = to const pivot = arr[Math.floor(Math.random() * (to - from + 1)) + from] // stop if the reader and writer meets while (r < w) { // arr[r] >= pivot if (compare(arr[r], pivot) >= 0) { // put the large values at the end const tmp = arr[w] arr[w] = arr[r] arr[r] = tmp --w } else { // the value is smaller than the pivot, skip ++r } } // if we stepped up (r++) we need to step one down (arr[r] > pivot) if (compare(arr[r], pivot) > 0) { --r } // the r pointer is on the end of the first k elements if (k <= r) { to = r } else { from = r + 1 } } return arr[k] } } exports.name = 'partitionSelect' exports.factory = factory