mathjs/es/function/logical/xor.js

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';
var name = 'xor';
var dependencies = ['typed', 'matrix', 'DenseMatrix'];
export var createXor =
/* #__PURE__ */
factory(name, dependencies, function (_ref) {
  var typed = _ref.typed,
      matrix = _ref.matrix,
      DenseMatrix = _ref.DenseMatrix;
  var algorithm03 = createAlgorithm03({
    typed: typed
  });
  var algorithm07 = createAlgorithm07({
    typed: typed,
    DenseMatrix: DenseMatrix
  });
  var algorithm12 = createAlgorithm12({
    typed: typed,
    DenseMatrix: DenseMatrix
  });
  var algorithm13 = createAlgorithm13({
    typed: typed
  });
  var algorithm14 = createAlgorithm14({
    typed: 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.
   */

  var xor = 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 xor(x.value || 0, y.value || 0);
    },
    'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) {
      return algorithm07(x, y, xor);
    },
    'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) {
      return algorithm03(y, x, xor, true);
    },
    'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) {
      return algorithm03(x, y, xor, false);
    },
    'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) {
      return algorithm13(x, y, xor);
    },
    'Array, Array': function ArrayArray(x, y) {
      // use matrix implementation
      return xor(matrix(x), matrix(y)).valueOf();
    },
    'Array, Matrix': function ArrayMatrix(x, y) {
      // use matrix implementation
      return xor(matrix(x), y);
    },
    'Matrix, Array': function MatrixArray(x, y) {
      // use matrix implementation
      return xor(x, matrix(y));
    },
    'SparseMatrix, any': function SparseMatrixAny(x, y) {
      return algorithm12(x, y, xor, false);
    },
    'DenseMatrix, any': function DenseMatrixAny(x, y) {
      return algorithm14(x, y, xor, false);
    },
    'any, SparseMatrix': function anySparseMatrix(x, y) {
      return algorithm12(y, x, xor, true);
    },
    'any, DenseMatrix': function anyDenseMatrix(x, y) {
      return algorithm14(y, x, xor, true);
    },
    'Array, any': function ArrayAny(x, y) {
      // use matrix implementation
      return algorithm14(matrix(x), y, xor, false).valueOf();
    },
    'any, Array': function anyArray(x, y) {
      // use matrix implementation
      return algorithm14(matrix(y), x, xor, true).valueOf();
    }
  });
  return xor;
});