import { createMatAlgo03xDSf } from '../../type/matrix/utils/matAlgo03xDSf.js'; import { createMatAlgo07xSSf } from '../../type/matrix/utils/matAlgo07xSSf.js'; import { createMatAlgo12xSfs } from '../../type/matrix/utils/matAlgo12xSfs.js'; import { factory } from '../../utils/factory.js'; import { createMatrixAlgorithmSuite } from '../../type/matrix/utils/matrixAlgorithmSuite.js'; import { xorNumber } from '../../plain/number/index.js'; var name = 'xor'; var dependencies = ['typed', 'matrix', 'DenseMatrix', 'concat', 'SparseMatrix']; export var createXor = /* #__PURE__ */factory(name, dependencies, _ref => { var { typed, matrix, DenseMatrix, concat, SparseMatrix } = _ref; var matAlgo03xDSf = createMatAlgo03xDSf({ typed }); var matAlgo07xSSf = createMatAlgo07xSSf({ typed, SparseMatrix }); var matAlgo12xSfs = createMatAlgo12xSfs({ typed, DenseMatrix }); var matrixAlgorithmSuite = createMatrixAlgorithmSuite({ typed, matrix, concat }); /** * 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 | bigint | Complex | Unit | Array | Matrix} x First value to check * @param {number | BigNumber | bigint | 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 Complex_Complex(x, y) { return (x.re !== 0 || x.im !== 0) !== (y.re !== 0 || y.im !== 0); }, 'bigint, bigint': xorNumber, 'BigNumber, BigNumber': function BigNumber_BigNumber(x, y) { return (!x.isZero() && !x.isNaN()) !== (!y.isZero() && !y.isNaN()); }, 'Unit, Unit': typed.referToSelf(self => (x, y) => self(x.value || 0, y.value || 0)) }, matrixAlgorithmSuite({ SS: matAlgo07xSSf, DS: matAlgo03xDSf, Ss: matAlgo12xSfs })); });