simple-squiggle/node_modules/mathjs/lib/esm/function/statistics/prod.js

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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;
}
});