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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' function factory (type, config, load, typed) { const latex = require('../../utils/latex') const matrix = load(require('../../type/matrix/function/matrix')) const zeros = load(require('../matrix/zeros')) const not = load(require('./not')) const algorithm02 = load(require('../../type/matrix/utils/algorithm02')) const algorithm06 = load(require('../../type/matrix/utils/algorithm06')) const algorithm11 = load(require('../../type/matrix/utils/algorithm11')) const algorithm13 = load(require('../../type/matrix/utils/algorithm13')) const algorithm14 = load(require('../../type/matrix/utils/algorithm14')) /** * Logical `and`. Test whether two values are both defined with a nonzero/nonempty value. * For matrices, the function is evaluated element wise. * * Syntax: * * math.and(x, y) * * Examples: * * math.and(2, 4) // returns true * * a = [2, 0, 0] * b = [3, 7, 0] * c = 0 * * math.and(a, b) // returns [true, false, false] * math.and(a, c) // returns [false, false, false] * * See also: * * not, or, xor * * @param {number | BigNumber | Complex | Unit | Array | Matrix} x First value to check * @param {number | BigNumber | Complex | Unit | Array | Matrix} y Second value to check * @return {boolean | Array | Matrix} * Returns true when both inputs are defined with a nonzero/nonempty value. */ const and = typed('and', { 'number, number': function (x, y) { return !!(x && y) }, 'Complex, Complex': function (x, y) { return (x.re !== 0 || x.im !== 0) && (y.re !== 0 || y.im !== 0) }, 'BigNumber, BigNumber': function (x, y) { return !x.isZero() && !y.isZero() && !x.isNaN() && !y.isNaN() }, 'Unit, Unit': function (x, y) { return and(x.value || 0, y.value || 0) }, 'SparseMatrix, SparseMatrix': function (x, y) { return algorithm06(x, y, and, false) }, 'SparseMatrix, DenseMatrix': function (x, y) { return algorithm02(y, x, and, true) }, 'DenseMatrix, SparseMatrix': function (x, y) { return algorithm02(x, y, and, false) }, 'DenseMatrix, DenseMatrix': function (x, y) { return algorithm13(x, y, and) }, 'Array, Array': function (x, y) { // use matrix implementation return and(matrix(x), matrix(y)).valueOf() }, 'Array, Matrix': function (x, y) { // use matrix implementation return and(matrix(x), y) }, 'Matrix, Array': function (x, y) { // use matrix implementation return and(x, matrix(y)) }, 'SparseMatrix, any': function (x, y) { // check scalar if (not(y)) { // return zero matrix return zeros(x.size(), x.storage()) } return algorithm11(x, y, and, false) }, 'DenseMatrix, any': function (x, y) { // check scalar if (not(y)) { // return zero matrix return zeros(x.size(), x.storage()) } return algorithm14(x, y, and, false) }, 'any, SparseMatrix': function (x, y) { // check scalar if (not(x)) { // return zero matrix return zeros(x.size(), x.storage()) } return algorithm11(y, x, and, true) }, 'any, DenseMatrix': function (x, y) { // check scalar if (not(x)) { // return zero matrix return zeros(x.size(), x.storage()) } return algorithm14(y, x, and, true) }, 'Array, any': function (x, y) { // use matrix implementation return and(matrix(x), y).valueOf() }, 'any, Array': function (x, y) { // use matrix implementation return and(x, matrix(y)).valueOf() } }) and.toTex = { 2: `\\left(\${args[0]}${latex.operators['and']}\${args[1]}\\right)` } return and } exports.name = 'and' exports.factory = factory