mathjs
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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
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JavaScript
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
})