"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.createAnd = void 0; var _matAlgo02xDS = require("../../type/matrix/utils/matAlgo02xDS0.js"); var _matAlgo11xS0s = require("../../type/matrix/utils/matAlgo11xS0s.js"); var _matAlgo14xDs = require("../../type/matrix/utils/matAlgo14xDs.js"); var _matAlgo06xS0S = require("../../type/matrix/utils/matAlgo06xS0S0.js"); var _factory = require("../../utils/factory.js"); var _matrixAlgorithmSuite = require("../../type/matrix/utils/matrixAlgorithmSuite.js"); var _index = require("../../plain/number/index.js"); const name = 'and'; const dependencies = ['typed', 'matrix', 'equalScalar', 'zeros', 'not', 'concat']; const createAnd = exports.createAnd = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => { let { typed, matrix, equalScalar, zeros, not, concat } = _ref; const matAlgo02xDS0 = (0, _matAlgo02xDS.createMatAlgo02xDS0)({ typed, equalScalar }); const matAlgo06xS0S0 = (0, _matAlgo06xS0S.createMatAlgo06xS0S0)({ typed, equalScalar }); const matAlgo11xS0s = (0, _matAlgo11xS0s.createMatAlgo11xS0s)({ typed, equalScalar }); const matAlgo14xDs = (0, _matAlgo14xDs.createMatAlgo14xDs)({ typed }); const matrixAlgorithmSuite = (0, _matrixAlgorithmSuite.createMatrixAlgorithmSuite)({ typed, matrix, concat }); /** * 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 | bigint | Complex | Unit | Array | Matrix} x First value to check * @param {number | BigNumber | bigint | 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. */ return typed(name, { 'number, number': _index.andNumber, '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(); }, 'bigint, bigint': _index.andNumber, 'Unit, Unit': typed.referToSelf(self => (x, y) => self(x.value || 0, y.value || 0)), 'SparseMatrix, any': typed.referToSelf(self => (x, y) => { // check scalar if (not(y)) { // return zero matrix return zeros(x.size(), x.storage()); } return matAlgo11xS0s(x, y, self, false); }), 'DenseMatrix, any': typed.referToSelf(self => (x, y) => { // check scalar if (not(y)) { // return zero matrix return zeros(x.size(), x.storage()); } return matAlgo14xDs(x, y, self, false); }), 'any, SparseMatrix': typed.referToSelf(self => (x, y) => { // check scalar if (not(x)) { // return zero matrix return zeros(x.size(), x.storage()); } return matAlgo11xS0s(y, x, self, true); }), 'any, DenseMatrix': typed.referToSelf(self => (x, y) => { // check scalar if (not(x)) { // return zero matrix return zeros(x.size(), x.storage()); } return matAlgo14xDs(y, x, self, true); }), 'Array, any': typed.referToSelf(self => (x, y) => { // use matrix implementation return self(matrix(x), y).valueOf(); }), 'any, Array': typed.referToSelf(self => (x, y) => { // use matrix implementation return self(x, matrix(y)).valueOf(); }) }, matrixAlgorithmSuite({ SS: matAlgo06xS0S0, DS: matAlgo02xDS0 })); });