import { createMatAlgo02xDS0 } from '../../type/matrix/utils/matAlgo02xDS0.js'; import { createMatAlgo11xS0s } from '../../type/matrix/utils/matAlgo11xS0s.js'; import { createMatAlgo14xDs } from '../../type/matrix/utils/matAlgo14xDs.js'; import { createMatAlgo01xDSid } from '../../type/matrix/utils/matAlgo01xDSid.js'; import { createMatAlgo10xSids } from '../../type/matrix/utils/matAlgo10xSids.js'; import { createMatAlgo08xS0Sid } from '../../type/matrix/utils/matAlgo08xS0Sid.js'; import { factory } from '../../utils/factory.js'; import { createMatrixAlgorithmSuite } from '../../type/matrix/utils/matrixAlgorithmSuite.js'; import { createUseMatrixForArrayScalar } from './useMatrixForArrayScalar.js'; import { leftShiftNumber } from '../../plain/number/index.js'; import { leftShiftBigNumber } from '../../utils/bignumber/bitwise.js'; var name = 'leftShift'; var dependencies = ['typed', 'matrix', 'equalScalar', 'zeros', 'DenseMatrix', 'concat']; export var createLeftShift = /* #__PURE__ */factory(name, dependencies, _ref => { var { typed, matrix, equalScalar, zeros, DenseMatrix, concat } = _ref; var matAlgo01xDSid = createMatAlgo01xDSid({ typed }); var matAlgo02xDS0 = createMatAlgo02xDS0({ typed, equalScalar }); var matAlgo08xS0Sid = createMatAlgo08xS0Sid({ typed, equalScalar }); var matAlgo10xSids = createMatAlgo10xSids({ typed, DenseMatrix }); var matAlgo11xS0s = createMatAlgo11xS0s({ typed, equalScalar }); var matAlgo14xDs = createMatAlgo14xDs({ typed }); var matrixAlgorithmSuite = createMatrixAlgorithmSuite({ typed, matrix, concat }); var useMatrixForArrayScalar = createUseMatrixForArrayScalar({ typed, matrix }); /** * 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, 4], 4) // returns Array [16, 32, 64] * * See also: * * leftShift, bitNot, bitOr, bitXor, rightArithShift, rightLogShift * * @param {number | BigNumber | bigint | Array | Matrix} x Value to be shifted * @param {number | BigNumber | bigint} y Amount of shifts * @return {number | BigNumber | bigint | Array | Matrix} `x` shifted left `y` times */ return typed(name, { 'number, number': leftShiftNumber, 'BigNumber, BigNumber': leftShiftBigNumber, 'bigint, bigint': (x, y) => x << y, 'SparseMatrix, number | BigNumber': typed.referToSelf(self => (x, y) => { // check scalar if (equalScalar(y, 0)) { return x.clone(); } return matAlgo11xS0s(x, y, self, false); }), 'DenseMatrix, number | BigNumber': typed.referToSelf(self => (x, y) => { // check scalar if (equalScalar(y, 0)) { return x.clone(); } return matAlgo14xDs(x, y, self, false); }), 'number | BigNumber, SparseMatrix': typed.referToSelf(self => (x, y) => { // check scalar if (equalScalar(x, 0)) { return zeros(y.size(), y.storage()); } return matAlgo10xSids(y, x, self, true); }), 'number | BigNumber, DenseMatrix': typed.referToSelf(self => (x, y) => { // check scalar if (equalScalar(x, 0)) { return zeros(y.size(), y.storage()); } return matAlgo14xDs(y, x, self, true); }) }, useMatrixForArrayScalar, matrixAlgorithmSuite({ SS: matAlgo08xS0Sid, DS: matAlgo01xDSid, SD: matAlgo02xDS0 })); });