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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'; var isInteger = require('../../utils/number').isInteger; var bigLeftShift = require('../../utils/bignumber/leftShift'); function factory(type, config, load, typed) { var latex = require('../../utils/latex'); var matrix = load(require('../../type/matrix/function/matrix')); var equalScalar = load(require('../relational/equalScalar')); var zeros = load(require('../matrix/zeros')); var algorithm01 = load(require('../../type/matrix/utils/algorithm01')); var algorithm02 = load(require('../../type/matrix/utils/algorithm02')); var algorithm08 = load(require('../../type/matrix/utils/algorithm08')); var algorithm10 = load(require('../../type/matrix/utils/algorithm10')); var algorithm11 = load(require('../../type/matrix/utils/algorithm11')); var algorithm13 = load(require('../../type/matrix/utils/algorithm13')); var algorithm14 = load(require('../../type/matrix/utils/algorithm14')); /** * Bitwise left logical shift of a 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.leftShift(x, y) * * Examples: * * math.leftShift(1, 2) // returns number 4 * * math.leftShift([1, 2, 3], 4) // returns Array [16, 32, 64] * * See also: * * leftShift, bitNot, bitOr, bitXor, rightArithShift, rightLogShift * * @param {number | BigNumber | Array | Matrix} x Value to be shifted * @param {number | BigNumber} y Amount of shifts * @return {number | BigNumber | Array | Matrix} `x` shifted left `y` times */ var leftShift = typed('leftShift', { 'number, number': function numberNumber(x, y) { if (!isInteger(x) || !isInteger(y)) { throw new Error('Integers expected in function leftShift'); } return x << y; }, 'BigNumber, BigNumber': bigLeftShift, 'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) { return algorithm08(x, y, leftShift, false); }, 'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) { return algorithm02(y, x, leftShift, true); }, 'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) { return algorithm01(x, y, leftShift, false); }, 'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) { return algorithm13(x, y, leftShift); }, 'Array, Array': function ArrayArray(x, y) { // use matrix implementation return leftShift(matrix(x), matrix(y)).valueOf(); }, 'Array, Matrix': function ArrayMatrix(x, y) { // use matrix implementation return leftShift(matrix(x), y); }, 'Matrix, Array': function MatrixArray(x, y) { // use matrix implementation return leftShift(x, matrix(y)); }, 'SparseMatrix, number | BigNumber': function SparseMatrixNumberBigNumber(x, y) { // check scalar if (equalScalar(y, 0)) { return x.clone(); } return algorithm11(x, y, leftShift, false); }, 'DenseMatrix, number | BigNumber': function DenseMatrixNumberBigNumber(x, y) { // check scalar if (equalScalar(y, 0)) { return x.clone(); } return algorithm14(x, y, leftShift, false); }, 'number | BigNumber, SparseMatrix': function numberBigNumberSparseMatrix(x, y) { // check scalar if (equalScalar(x, 0)) { return zeros(y.size(), y.storage()); } return algorithm10(y, x, leftShift, true); }, 'number | BigNumber, DenseMatrix': function numberBigNumberDenseMatrix(x, y) { // check scalar if (equalScalar(x, 0)) { return zeros(y.size(), y.storage()); } return algorithm14(y, x, leftShift, true); }, 'Array, number | BigNumber': function ArrayNumberBigNumber(x, y) { // use matrix implementation return leftShift(matrix(x), y).valueOf(); }, 'number | BigNumber, Array': function numberBigNumberArray(x, y) { // use matrix implementation return leftShift(x, matrix(y)).valueOf(); } }); leftShift.toTex = { 2: "\\left(${args[0]}".concat(latex.operators['leftShift'], "${args[1]}\\right)") }; return leftShift; } exports.name = 'leftShift'; exports.factory = factory;