mathjs/src/function/bitwise/leftShift.js

140 lines
4.0 KiB
JavaScript

'use strict'
import { leftShift as bigLeftShift } from '../../utils/bignumber/bitwise'
const isInteger = require('../../utils/number').isInteger
function factory (type, config, load, typed) {
const latex = require('../../utils/latex')
const matrix = load(require('../../type/matrix/function/matrix'))
const equalScalar = load(require('../relational/equalScalar'))
const zeros = load(require('../matrix/zeros'))
const algorithm01 = load(require('../../type/matrix/utils/algorithm01'))
const algorithm02 = load(require('../../type/matrix/utils/algorithm02'))
const algorithm08 = load(require('../../type/matrix/utils/algorithm08'))
const algorithm10 = load(require('../../type/matrix/utils/algorithm10'))
const algorithm11 = load(require('../../type/matrix/utils/algorithm11'))
const algorithm13 = load(require('../../type/matrix/utils/algorithm13'))
const algorithm14 = load(require('../../type/matrix/utils/algorithm14'))
/**
* Bitwise left logical shift of a value x by y number of bits, `x << y`.
* For matrices, the function is evaluated element wise.
* For units, the function is evaluated on the best prefix base.
*
* Syntax:
*
* math.leftShift(x, y)
*
* Examples:
*
* math.leftShift(1, 2) // returns number 4
*
* math.leftShift([1, 2, 3], 4) // returns Array [16, 32, 64]
*
* See also:
*
* leftShift, bitNot, bitOr, bitXor, rightArithShift, rightLogShift
*
* @param {number | BigNumber | Array | Matrix} x Value to be shifted
* @param {number | BigNumber} y Amount of shifts
* @return {number | BigNumber | Array | Matrix} `x` shifted left `y` times
*/
const leftShift = typed('leftShift', {
'number, number': function (x, y) {
if (!isInteger(x) || !isInteger(y)) {
throw new Error('Integers expected in function leftShift')
}
return x << y
},
'BigNumber, BigNumber': bigLeftShift,
'SparseMatrix, SparseMatrix': function (x, y) {
return algorithm08(x, y, leftShift, false)
},
'SparseMatrix, DenseMatrix': function (x, y) {
return algorithm02(y, x, leftShift, true)
},
'DenseMatrix, SparseMatrix': function (x, y) {
return algorithm01(x, y, leftShift, false)
},
'DenseMatrix, DenseMatrix': function (x, y) {
return algorithm13(x, y, leftShift)
},
'Array, Array': function (x, y) {
// use matrix implementation
return leftShift(matrix(x), matrix(y)).valueOf()
},
'Array, Matrix': function (x, y) {
// use matrix implementation
return leftShift(matrix(x), y)
},
'Matrix, Array': function (x, y) {
// use matrix implementation
return leftShift(x, matrix(y))
},
'SparseMatrix, number | BigNumber': function (x, y) {
// check scalar
if (equalScalar(y, 0)) {
return x.clone()
}
return algorithm11(x, y, leftShift, false)
},
'DenseMatrix, number | BigNumber': function (x, y) {
// check scalar
if (equalScalar(y, 0)) {
return x.clone()
}
return algorithm14(x, y, leftShift, false)
},
'number | BigNumber, SparseMatrix': function (x, y) {
// check scalar
if (equalScalar(x, 0)) {
return zeros(y.size(), y.storage())
}
return algorithm10(y, x, leftShift, true)
},
'number | BigNumber, DenseMatrix': function (x, y) {
// check scalar
if (equalScalar(x, 0)) {
return zeros(y.size(), y.storage())
}
return algorithm14(y, x, leftShift, true)
},
'Array, number | BigNumber': function (x, y) {
// use matrix implementation
return leftShift(matrix(x), y).valueOf()
},
'number | BigNumber, Array': function (x, y) {
// use matrix implementation
return leftShift(x, matrix(y)).valueOf()
}
})
leftShift.toTex = {
2: `\\left(\${args[0]}${latex.operators['leftShift']}\${args[1]}\\right)`
}
return leftShift
}
exports.name = 'leftShift'
exports.factory = factory