import { createAlgorithm03 } from '../../type/matrix/utils/algorithm03.js'; import { createAlgorithm07 } from '../../type/matrix/utils/algorithm07.js'; import { createAlgorithm12 } from '../../type/matrix/utils/algorithm12.js'; import { createAlgorithm13 } from '../../type/matrix/utils/algorithm13.js'; import { createAlgorithm14 } from '../../type/matrix/utils/algorithm14.js'; import { factory } from '../../utils/factory.js'; import { xorNumber } from '../../plain/number/index.js'; var name = 'xor'; var dependencies = ['typed', 'matrix', 'DenseMatrix']; export var createXor = /* #__PURE__ */factory(name, dependencies, _ref => { var { typed, matrix, DenseMatrix } = _ref; var algorithm03 = createAlgorithm03({ typed }); var algorithm07 = createAlgorithm07({ typed, DenseMatrix }); var algorithm12 = createAlgorithm12({ typed, DenseMatrix }); var algorithm13 = createAlgorithm13({ typed }); var 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. */ return typed(name, { 'number, number': xorNumber, 'Complex, Complex': function ComplexComplex(x, y) { return (x.re !== 0 || x.im !== 0) !== (y.re !== 0 || y.im !== 0); }, 'BigNumber, BigNumber': function BigNumberBigNumber(x, y) { return (!x.isZero() && !x.isNaN()) !== (!y.isZero() && !y.isNaN()); }, 'Unit, Unit': function UnitUnit(x, y) { return this(x.value || 0, y.value || 0); }, 'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) { return algorithm07(x, y, this); }, 'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) { return algorithm03(y, x, this, true); }, 'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) { return algorithm03(x, y, this, false); }, 'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) { return algorithm13(x, y, this); }, 'Array, Array': function ArrayArray(x, y) { // use matrix implementation return this(matrix(x), matrix(y)).valueOf(); }, 'Array, Matrix': function ArrayMatrix(x, y) { // use matrix implementation return this(matrix(x), y); }, 'Matrix, Array': function MatrixArray(x, y) { // use matrix implementation return this(x, matrix(y)); }, 'SparseMatrix, any': function SparseMatrixAny(x, y) { return algorithm12(x, y, this, false); }, 'DenseMatrix, any': function DenseMatrixAny(x, y) { return algorithm14(x, y, this, false); }, 'any, SparseMatrix': function anySparseMatrix(x, y) { return algorithm12(y, x, this, true); }, 'any, DenseMatrix': function anyDenseMatrix(x, y) { return algorithm14(y, x, this, true); }, 'Array, any': function ArrayAny(x, y) { // use matrix implementation return algorithm14(matrix(x), y, this, false).valueOf(); }, 'any, Array': function anyArray(x, y) { // use matrix implementation return algorithm14(matrix(y), x, this, true).valueOf(); } }); });