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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 latex = require('../../utils/latex') const matrix = load(require('../../type/matrix/function/matrix')) const equalScalar = load(require('../relational/equalScalar')) const zeros = load(require('../matrix/zeros')) const algorithm01 = load(require('../../type/matrix/utils/algorithm01')) const algorithm02 = load(require('../../type/matrix/utils/algorithm02')) const algorithm08 = load(require('../../type/matrix/utils/algorithm08')) const algorithm10 = load(require('../../type/matrix/utils/algorithm10')) const algorithm11 = load(require('../../type/matrix/utils/algorithm11')) const algorithm13 = load(require('../../type/matrix/utils/algorithm13')) const algorithm14 = load(require('../../type/matrix/utils/algorithm14')) /** * Bitwise right logical shift of value x by y number of bits, `x >>> y`. * For matrices, the function is evaluated element wise. * For units, the function is evaluated on the best prefix base. * * Syntax: * * math.rightLogShift(x, y) * * Examples: * * math.rightLogShift(4, 2) // returns number 1 * * math.rightLogShift([16, -32, 64], 4) // returns Array [1, 2, 3] * * See also: * * bitAnd, bitNot, bitOr, bitXor, leftShift, rightLogShift * * @param {number | Array | Matrix} x Value to be shifted * @param {number} y Amount of shifts * @return {number | Array | Matrix} `x` zero-filled shifted right `y` times */ const rightLogShift = typed('rightLogShift', { 'number, number': function (x, y) { if (!isInteger(x) || !isInteger(y)) { throw new Error('Integers expected in function rightLogShift') } return x >>> y }, // 'BigNumber, BigNumber': ..., // TODO: implement BigNumber support for rightLogShift 'SparseMatrix, SparseMatrix': function (x, y) { return algorithm08(x, y, rightLogShift, false) }, 'SparseMatrix, DenseMatrix': function (x, y) { return algorithm02(y, x, rightLogShift, true) }, 'DenseMatrix, SparseMatrix': function (x, y) { return algorithm01(x, y, rightLogShift, false) }, 'DenseMatrix, DenseMatrix': function (x, y) { return algorithm13(x, y, rightLogShift) }, 'Array, Array': function (x, y) { // use matrix implementation return rightLogShift(matrix(x), matrix(y)).valueOf() }, 'Array, Matrix': function (x, y) { // use matrix implementation return rightLogShift(matrix(x), y) }, 'Matrix, Array': function (x, y) { // use matrix implementation return rightLogShift(x, matrix(y)) }, 'SparseMatrix, number | BigNumber': function (x, y) { // check scalar if (equalScalar(y, 0)) { return x.clone() } return algorithm11(x, y, rightLogShift, false) }, 'DenseMatrix, number | BigNumber': function (x, y) { // check scalar if (equalScalar(y, 0)) { return x.clone() } return algorithm14(x, y, rightLogShift, false) }, 'number | BigNumber, SparseMatrix': function (x, y) { // check scalar if (equalScalar(x, 0)) { return zeros(y.size(), y.storage()) } return algorithm10(y, x, rightLogShift, true) }, 'number | BigNumber, DenseMatrix': function (x, y) { // check scalar if (equalScalar(x, 0)) { return zeros(y.size(), y.storage()) } return algorithm14(y, x, rightLogShift, true) }, 'Array, number | BigNumber': function (x, y) { // use matrix implementation return rightLogShift(matrix(x), y).valueOf() }, 'number | BigNumber, Array': function (x, y) { // use matrix implementation return rightLogShift(x, matrix(y)).valueOf() } }) rightLogShift.toTex = { 2: `\\left(\${args[0]}${latex.operators['rightLogShift']}\${args[1]}\\right)` } return rightLogShift } exports.name = 'rightLogShift' exports.factory = factory