UNPKG

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

112 lines (93 loc) 3.25 kB
import { bitOrBigNumber } from '../../utils/bignumber/bitwise' import { factory } from '../../utils/factory' import { createAlgorithm14 } from '../../type/matrix/utils/algorithm14' import { createAlgorithm13 } from '../../type/matrix/utils/algorithm13' import { createAlgorithm10 } from '../../type/matrix/utils/algorithm10' import { createAlgorithm04 } from '../../type/matrix/utils/algorithm04' import { createAlgorithm01 } from '../../type/matrix/utils/algorithm01' import { bitOrNumber } from '../../plain/number' const name = 'bitOr' const dependencies = [ 'typed', 'matrix', 'equalScalar', 'DenseMatrix' ] export const createBitOr = /* #__PURE__ */ factory(name, dependencies, ({ typed, matrix, equalScalar, DenseMatrix }) => { const algorithm01 = createAlgorithm01({ typed }) const algorithm04 = createAlgorithm04({ typed, equalScalar }) const algorithm10 = createAlgorithm10({ typed, DenseMatrix }) const algorithm13 = createAlgorithm13({ typed }) const algorithm14 = createAlgorithm14({ typed }) /** * Bitwise OR two values, `x | y`. * For matrices, the function is evaluated element wise. * For units, the function is evaluated on the lowest print base. * * Syntax: * * math.bitOr(x, y) * * Examples: * * math.bitOr(1, 2) // returns number 3 * * math.bitOr([1, 2, 3], 4) // returns Array [5, 6, 7] * * See also: * * bitAnd, bitNot, bitXor, leftShift, rightArithShift, rightLogShift * * @param {number | BigNumber | Array | Matrix} x First value to or * @param {number | BigNumber | Array | Matrix} y Second value to or * @return {number | BigNumber | Array | Matrix} OR of `x` and `y` */ return typed(name, { 'number, number': bitOrNumber, 'BigNumber, BigNumber': bitOrBigNumber, 'SparseMatrix, SparseMatrix': function (x, y) { return algorithm04(x, y, this) }, 'SparseMatrix, DenseMatrix': function (x, y) { return algorithm01(y, x, this, true) }, 'DenseMatrix, SparseMatrix': function (x, y) { return algorithm01(x, y, this, false) }, 'DenseMatrix, DenseMatrix': function (x, y) { return algorithm13(x, y, this) }, 'Array, Array': function (x, y) { // use matrix implementation return this(matrix(x), matrix(y)).valueOf() }, 'Array, Matrix': function (x, y) { // use matrix implementation return this(matrix(x), y) }, 'Matrix, Array': function (x, y) { // use matrix implementation return this(x, matrix(y)) }, 'SparseMatrix, any': function (x, y) { return algorithm10(x, y, this, false) }, 'DenseMatrix, any': function (x, y) { return algorithm14(x, y, this, false) }, 'any, SparseMatrix': function (x, y) { return algorithm10(y, x, this, true) }, 'any, DenseMatrix': function (x, y) { return algorithm14(y, x, this, true) }, 'Array, any': function (x, y) { // use matrix implementation return algorithm14(matrix(x), y, this, false).valueOf() }, 'any, Array': function (x, y) { // use matrix implementation return algorithm14(matrix(y), x, this, true).valueOf() } }) })