mathjs
Version:
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
149 lines (124 loc) • 3.92 kB
JavaScript
function factory (type, config, load, typed) {
const latex = require('../../utils/latex')
const matrix = load(require('../../type/matrix/function/matrix'))
const zeros = load(require('../matrix/zeros'))
const not = load(require('./not'))
const algorithm02 = load(require('../../type/matrix/utils/algorithm02'))
const algorithm06 = load(require('../../type/matrix/utils/algorithm06'))
const algorithm11 = load(require('../../type/matrix/utils/algorithm11'))
const algorithm13 = load(require('../../type/matrix/utils/algorithm13'))
const algorithm14 = load(require('../../type/matrix/utils/algorithm14'))
/**
* Logical `and`. Test whether two values are both defined with a nonzero/nonempty value.
* For matrices, the function is evaluated element wise.
*
* Syntax:
*
* math.and(x, y)
*
* Examples:
*
* math.and(2, 4) // returns true
*
* a = [2, 0, 0]
* b = [3, 7, 0]
* c = 0
*
* math.and(a, b) // returns [true, false, false]
* math.and(a, c) // returns [false, false, false]
*
* See also:
*
* not, or, xor
*
* @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 both inputs are defined with a nonzero/nonempty value.
*/
const and = typed('and', {
'number, number': function (x, y) {
return !!(x && y)
},
'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() && !y.isZero() && !x.isNaN() && !y.isNaN()
},
'Unit, Unit': function (x, y) {
return and(x.value || 0, y.value || 0)
},
'SparseMatrix, SparseMatrix': function (x, y) {
return algorithm06(x, y, and, false)
},
'SparseMatrix, DenseMatrix': function (x, y) {
return algorithm02(y, x, and, true)
},
'DenseMatrix, SparseMatrix': function (x, y) {
return algorithm02(x, y, and, false)
},
'DenseMatrix, DenseMatrix': function (x, y) {
return algorithm13(x, y, and)
},
'Array, Array': function (x, y) {
// use matrix implementation
return and(matrix(x), matrix(y)).valueOf()
},
'Array, Matrix': function (x, y) {
// use matrix implementation
return and(matrix(x), y)
},
'Matrix, Array': function (x, y) {
// use matrix implementation
return and(x, matrix(y))
},
'SparseMatrix, any': function (x, y) {
// check scalar
if (not(y)) {
// return zero matrix
return zeros(x.size(), x.storage())
}
return algorithm11(x, y, and, false)
},
'DenseMatrix, any': function (x, y) {
// check scalar
if (not(y)) {
// return zero matrix
return zeros(x.size(), x.storage())
}
return algorithm14(x, y, and, false)
},
'any, SparseMatrix': function (x, y) {
// check scalar
if (not(x)) {
// return zero matrix
return zeros(x.size(), x.storage())
}
return algorithm11(y, x, and, true)
},
'any, DenseMatrix': function (x, y) {
// check scalar
if (not(x)) {
// return zero matrix
return zeros(x.size(), x.storage())
}
return algorithm14(y, x, and, true)
},
'Array, any': function (x, y) {
// use matrix implementation
return and(matrix(x), y).valueOf()
},
'any, Array': function (x, y) {
// use matrix implementation
return and(x, matrix(y)).valueOf()
}
})
and.toTex = {
2: `\\left(\${args[0]}${latex.operators['and']}\${args[1]}\\right)`
}
return and
}
exports.name = 'and'
exports.factory = factory