import { deepForEach } from '../../utils/collection.js'; import { factory } from '../../utils/factory.js'; import { improveErrorMessage } from './utils/improveErrorMessage.js'; var name = 'prod'; var dependencies = ['typed', 'config', 'multiplyScalar', 'numeric']; export var createProd = /* #__PURE__ */factory(name, dependencies, _ref => { var { typed, config, multiplyScalar, numeric } = _ref; /** * Compute the product of a matrix or a list with values. * In case of a (multi dimensional) array or matrix, the sum of all * elements will be calculated. * * Syntax: * * math.prod(a, b, c, ...) * math.prod(A) * * Examples: * * math.multiply(2, 3) // returns 6 * math.prod(2, 3) // returns 6 * math.prod(2, 3, 4) // returns 24 * math.prod([2, 3, 4]) // returns 24 * math.prod([[2, 5], [4, 3]]) // returns 120 * * See also: * * mean, median, min, max, sum, std, variance * * @param {... *} args A single matrix or or multiple scalar values * @return {*} The product of all values */ return typed(name, { // prod([a, b, c, d, ...]) 'Array | Matrix': _prod, // prod([a, b, c, d, ...], dim) 'Array | Matrix, number | BigNumber': function ArrayMatrixNumberBigNumber(array, dim) { // TODO: implement prod(A, dim) throw new Error('prod(A, dim) is not yet supported'); // return reduce(arguments[0], arguments[1], math.prod) }, // prod(a, b, c, d, ...) '...': function _(args) { return _prod(args); } }); /** * Recursively calculate the product of an n-dimensional array * @param {Array} array * @return {number} prod * @private */ function _prod(array) { var prod; deepForEach(array, function (value) { try { prod = prod === undefined ? value : multiplyScalar(prod, value); } catch (err) { throw improveErrorMessage(err, 'prod', value); } }); // make sure returning numeric value: parse a string into a numeric value if (typeof prod === 'string') { prod = numeric(prod, config.number); } if (prod === undefined) { throw new Error('Cannot calculate prod of an empty array'); } return prod; } });