mathjs/lib/function/bitwise/leftShift.js

161 lines
4.4 KiB
JavaScript

'use strict';
var isInteger = require('../../util/number').isInteger;
var bigLeftShift = require('../../util/bignumber').leftShift;
function factory (type, config, load, typed) {
var latex = require('../../util/latex');
var matrix = load(require('../../type/matrix/function/matrix'));
var equalScalar = load(require('../relational/equalScalar'));
var zeros = load(require('../matrix/zeros'));
var algorithm01 = load(require('../../type/matrix/util/algorithm01'));
var algorithm02 = load(require('../../type/matrix/util/algorithm02'));
var algorithm08 = load(require('../../type/matrix/util/algorithm08'));
var algorithm10 = load(require('../../type/matrix/util/algorithm10'));
var algorithm11 = load(require('../../type/matrix/util/algorithm11'));
var algorithm13 = load(require('../../type/matrix/util/algorithm13'));
var algorithm14 = load(require('../../type/matrix/util/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
*/
var 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,
'Matrix, Matrix': function (x, y) {
// result
var c;
// process matrix storage
switch (x.storage()) {
case 'sparse':
switch (y.storage()) {
case 'sparse':
// sparse & sparse
c = algorithm08(x, y, leftShift, false);
break;
default:
// sparse & dense
c = algorithm02(y, x, leftShift, true);
break;
}
break;
default:
switch (y.storage()) {
case 'sparse':
// dense & sparse
c = algorithm01(x, y, leftShift, false);
break;
default:
// dense & dense
c = algorithm13(x, y, leftShift);
break;
}
break;
}
return c;
},
'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));
},
'Matrix, number | BigNumber': function (x, y) {
// check scalar
if (!equalScalar(y, 0)) {
// result
var c;
// check storage format
switch (x.storage()) {
case 'sparse':
c = algorithm11(x, y, leftShift, false);
break;
default:
c = algorithm14(x, y, leftShift, false);
break;
}
return c;
}
return x.clone();
},
'number | BigNumber, Matrix': function (x, y) {
// check scalar
if (!equalScalar(x, 0)) {
// result
var c;
// check storage format
switch (y.storage()) {
case 'sparse':
c = algorithm10(y, x, leftShift, true);
break;
default:
c = algorithm14(y, x, leftShift, true);
break;
}
return c;
}
return zeros(y.size(), y.storage());
},
'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 = '\\left(${args[0]}' + latex.operators['leftShift'] + '${args[1]}\\right)';
return leftShift;
}
exports.name = 'leftShift';
exports.factory = factory;