jiangchengfeiyi-xiaochengxu/node_modules/mathjs/lib/cjs/function/bitwise/bitXor.js
2025-01-02 11:13:50 +08:00

72 lines
2.2 KiB
JavaScript

"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports.createBitXor = void 0;
var _bitwise = require("../../utils/bignumber/bitwise.js");
var _matAlgo03xDSf = require("../../type/matrix/utils/matAlgo03xDSf.js");
var _matAlgo07xSSf = require("../../type/matrix/utils/matAlgo07xSSf.js");
var _matAlgo12xSfs = require("../../type/matrix/utils/matAlgo12xSfs.js");
var _factory = require("../../utils/factory.js");
var _matrixAlgorithmSuite = require("../../type/matrix/utils/matrixAlgorithmSuite.js");
var _index = require("../../plain/number/index.js");
const name = 'bitXor';
const dependencies = ['typed', 'matrix', 'DenseMatrix', 'concat', 'SparseMatrix'];
const createBitXor = exports.createBitXor = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => {
let {
typed,
matrix,
DenseMatrix,
concat,
SparseMatrix
} = _ref;
const matAlgo03xDSf = (0, _matAlgo03xDSf.createMatAlgo03xDSf)({
typed
});
const matAlgo07xSSf = (0, _matAlgo07xSSf.createMatAlgo07xSSf)({
typed,
SparseMatrix
});
const matAlgo12xSfs = (0, _matAlgo12xSfs.createMatAlgo12xSfs)({
typed,
DenseMatrix
});
const matrixAlgorithmSuite = (0, _matrixAlgorithmSuite.createMatrixAlgorithmSuite)({
typed,
matrix,
concat
});
/**
* Bitwise XOR two values, `x ^ y`.
* For matrices, the function is evaluated element wise.
*
* Syntax:
*
* math.bitXor(x, y)
*
* Examples:
*
* math.bitXor(1, 2) // returns number 3
*
* math.bitXor([2, 3, 4], 4) // returns Array [6, 7, 0]
*
* See also:
*
* bitAnd, bitNot, bitOr, leftShift, rightArithShift, rightLogShift
*
* @param {number | BigNumber | bigint | Array | Matrix} x First value to xor
* @param {number | BigNumber | bigint | Array | Matrix} y Second value to xor
* @return {number | BigNumber | bigint | Array | Matrix} XOR of `x` and `y`
*/
return typed(name, {
'number, number': _index.bitXorNumber,
'BigNumber, BigNumber': _bitwise.bitXor,
'bigint, bigint': (x, y) => x ^ y
}, matrixAlgorithmSuite({
SS: matAlgo07xSSf,
DS: matAlgo03xDSf,
Ss: matAlgo12xSfs
}));
});