UNPKG

mathjs

Version:

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

127 lines (105 loc) 3.59 kB
import { createAlgorithm03 } from '../../type/matrix/utils/algorithm03' import { createAlgorithm07 } from '../../type/matrix/utils/algorithm07' import { createAlgorithm12 } from '../../type/matrix/utils/algorithm12' import { createAlgorithm13 } from '../../type/matrix/utils/algorithm13' import { createAlgorithm14 } from '../../type/matrix/utils/algorithm14' import { factory } from '../../utils/factory' import { xorNumber } from '../../plain/number' const name = 'xor' const dependencies = [ 'typed', 'matrix', 'DenseMatrix' ] export const createXor = /* #__PURE__ */ factory(name, dependencies, ({ typed, matrix, DenseMatrix }) => { const algorithm03 = createAlgorithm03({ typed }) const algorithm07 = createAlgorithm07({ typed, DenseMatrix }) const algorithm12 = createAlgorithm12({ typed, DenseMatrix }) const algorithm13 = createAlgorithm13({ typed }) const algorithm14 = createAlgorithm14({ typed }) /** * Logical `xor`. Test whether one and only one value is defined with a nonzero/nonempty value. * For matrices, the function is evaluated element wise. * * Syntax: * * math.xor(x, y) * * Examples: * * math.xor(2, 4) // returns false * * a = [2, 0, 0] * b = [2, 7, 0] * c = 0 * * math.xor(a, b) // returns [false, true, false] * math.xor(a, c) // returns [true, false, false] * * See also: * * and, not, or * * @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 one and only one input is defined with a nonzero/nonempty value. */ const xor = typed(name, { 'number, number': xorNumber, '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() && !x.isNaN()) !== (!y.isZero() && !y.isNaN())) }, 'Unit, Unit': function (x, y) { return xor(x.value || 0, y.value || 0) }, 'SparseMatrix, SparseMatrix': function (x, y) { return algorithm07(x, y, xor) }, 'SparseMatrix, DenseMatrix': function (x, y) { return algorithm03(y, x, xor, true) }, 'DenseMatrix, SparseMatrix': function (x, y) { return algorithm03(x, y, xor, false) }, 'DenseMatrix, DenseMatrix': function (x, y) { return algorithm13(x, y, xor) }, 'Array, Array': function (x, y) { // use matrix implementation return xor(matrix(x), matrix(y)).valueOf() }, 'Array, Matrix': function (x, y) { // use matrix implementation return xor(matrix(x), y) }, 'Matrix, Array': function (x, y) { // use matrix implementation return xor(x, matrix(y)) }, 'SparseMatrix, any': function (x, y) { return algorithm12(x, y, xor, false) }, 'DenseMatrix, any': function (x, y) { return algorithm14(x, y, xor, false) }, 'any, SparseMatrix': function (x, y) { return algorithm12(y, x, xor, true) }, 'any, DenseMatrix': function (x, y) { return algorithm14(y, x, xor, true) }, 'Array, any': function (x, y) { // use matrix implementation return algorithm14(matrix(x), y, xor, false).valueOf() }, 'any, Array': function (x, y) { // use matrix implementation return algorithm14(matrix(y), x, xor, true).valueOf() } }) return xor })