jiangchengfeiyi-xiaochengxu/node_modules/mathjs/lib/cjs/function/statistics/min.js
2025-01-02 11:13:50 +08:00

111 lines
3.3 KiB
JavaScript

"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports.createMin = void 0;
var _collection = require("../../utils/collection.js");
var _factory = require("../../utils/factory.js");
var _number = require("../../utils/number.js");
var _improveErrorMessage = require("./utils/improveErrorMessage.js");
const name = 'min';
const dependencies = ['typed', 'config', 'numeric', 'smaller'];
const createMin = exports.createMin = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => {
let {
typed,
config,
numeric,
smaller
} = _ref;
/**
* Compute the minimum value of a matrix or a list of values.
* In case of a multidimensional array, the minimum of the flattened array
* will be calculated. When `dim` is provided, the minimum over the selected
* dimension will be calculated. Parameter `dim` is zero-based.
*
* Syntax:
*
* math.min(a, b, c, ...)
* math.min(A)
* math.min(A, dimension)
*
* Examples:
*
* math.min(2, 1, 4, 3) // returns 1
* math.min([2, 1, 4, 3]) // returns 1
*
* // minimum over a specified dimension (zero-based)
* math.min([[2, 5], [4, 3], [1, 7]], 0) // returns [1, 3]
* math.min([[2, 5], [4, 3], [1, 7]], 1) // returns [2, 3, 1]
*
* math.max(2.7, 7.1, -4.5, 2.0, 4.1) // returns 7.1
* math.min(2.7, 7.1, -4.5, 2.0, 4.1) // returns -4.5
*
* See also:
*
* mean, median, max, prod, std, sum, variance
*
* @param {... *} args A single matrix or or multiple scalar values
* @return {*} The minimum value
*/
return typed(name, {
// min([a, b, c, d, ...])
'Array | Matrix': _min,
// min([a, b, c, d, ...], dim)
'Array | Matrix, number | BigNumber': function (array, dim) {
return (0, _collection.reduce)(array, dim.valueOf(), _smallest);
},
// min(a, b, c, d, ...)
'...': function (args) {
if ((0, _collection.containsCollections)(args)) {
throw new TypeError('Scalar values expected in function min');
}
return _min(args);
}
});
/**
* Return the smallest of two values
* @param {*} x
* @param {*} y
* @returns {*} Returns x when x is smallest, or y when y is smallest
* @private
*/
function _smallest(x, y) {
try {
return smaller(x, y) ? x : y;
} catch (err) {
throw (0, _improveErrorMessage.improveErrorMessage)(err, 'min', y);
}
}
/**
* Recursively calculate the minimum value in an n-dimensional array
* @param {Array} array
* @return {number} min
* @private
*/
function _min(array) {
let min;
(0, _collection.deepForEach)(array, function (value) {
try {
if (isNaN(value) && typeof value === 'number') {
min = NaN;
} else if (min === undefined || smaller(value, min)) {
min = value;
}
} catch (err) {
throw (0, _improveErrorMessage.improveErrorMessage)(err, 'min', value);
}
});
if (min === undefined) {
throw new Error('Cannot calculate min of an empty array');
}
// make sure returning numeric value: parse a string into a numeric value
if (typeof min === 'string') {
min = numeric(min, (0, _number.safeNumberType)(min, config));
}
return min;
}
});