1 | import { containsCollections, deepForEach, reduce } from '../../utils/collection.js';
|
2 | import { factory } from '../../utils/factory.js';
|
3 | import { improveErrorMessage } from './utils/improveErrorMessage.js';
|
4 | var name = 'min';
|
5 | var dependencies = ['typed', 'config', 'numeric', 'smaller'];
|
6 | export var createMin = /* #__PURE__ */factory(name, dependencies, _ref => {
|
7 | var {
|
8 | typed,
|
9 | config,
|
10 | numeric,
|
11 | smaller
|
12 | } = _ref;
|
13 |
|
14 | /**
|
15 | * Compute the minimum value of a matrix or a list of values.
|
16 | * In case of a multi dimensional array, the minimum of the flattened array
|
17 | * will be calculated. When `dim` is provided, the minimum over the selected
|
18 | * dimension will be calculated. Parameter `dim` is zero-based.
|
19 | *
|
20 | * Syntax:
|
21 | *
|
22 | * math.min(a, b, c, ...)
|
23 | * math.min(A)
|
24 | * math.min(A, dim)
|
25 | *
|
26 | * Examples:
|
27 | *
|
28 | * math.min(2, 1, 4, 3) // returns 1
|
29 | * math.min([2, 1, 4, 3]) // returns 1
|
30 | *
|
31 | * // minimum over a specified dimension (zero-based)
|
32 | * math.min([[2, 5], [4, 3], [1, 7]], 0) // returns [1, 3]
|
33 | * math.min([[2, 5], [4, 3], [1, 7]], 1) // returns [2, 3, 1]
|
34 | *
|
35 | * math.max(2.7, 7.1, -4.5, 2.0, 4.1) // returns 7.1
|
36 | * math.min(2.7, 7.1, -4.5, 2.0, 4.1) // returns -4.5
|
37 | *
|
38 | * See also:
|
39 | *
|
40 | * mean, median, max, prod, std, sum, variance
|
41 | *
|
42 | * @param {... *} args A single matrix or or multiple scalar values
|
43 | * @return {*} The minimum value
|
44 | */
|
45 | return typed(name, {
|
46 | // min([a, b, c, d, ...])
|
47 | 'Array | Matrix': _min,
|
48 | // min([a, b, c, d, ...], dim)
|
49 | 'Array | Matrix, number | BigNumber': function ArrayMatrixNumberBigNumber(array, dim) {
|
50 | return reduce(array, dim.valueOf(), _smallest);
|
51 | },
|
52 | // min(a, b, c, d, ...)
|
53 | '...': function _(args) {
|
54 | if (containsCollections(args)) {
|
55 | throw new TypeError('Scalar values expected in function min');
|
56 | }
|
57 |
|
58 | return _min(args);
|
59 | }
|
60 | });
|
61 | /**
|
62 | * Return the smallest of two values
|
63 | * @param {*} x
|
64 | * @param {*} y
|
65 | * @returns {*} Returns x when x is smallest, or y when y is smallest
|
66 | * @private
|
67 | */
|
68 |
|
69 | function _smallest(x, y) {
|
70 | try {
|
71 | return smaller(x, y) ? x : y;
|
72 | } catch (err) {
|
73 | throw improveErrorMessage(err, 'min', y);
|
74 | }
|
75 | }
|
76 | /**
|
77 | * Recursively calculate the minimum value in an n-dimensional array
|
78 | * @param {Array} array
|
79 | * @return {number} min
|
80 | * @private
|
81 | */
|
82 |
|
83 |
|
84 | function _min(array) {
|
85 | var min;
|
86 | deepForEach(array, function (value) {
|
87 | try {
|
88 | if (isNaN(value) && typeof value === 'number') {
|
89 | min = NaN;
|
90 | } else if (min === undefined || smaller(value, min)) {
|
91 | min = value;
|
92 | }
|
93 | } catch (err) {
|
94 | throw improveErrorMessage(err, 'min', value);
|
95 | }
|
96 | });
|
97 |
|
98 | if (min === undefined) {
|
99 | throw new Error('Cannot calculate min of an empty array');
|
100 | } // make sure returning numeric value: parse a string into a numeric value
|
101 |
|
102 |
|
103 | if (typeof min === 'string') {
|
104 | min = numeric(min, config.number);
|
105 | }
|
106 |
|
107 | return min;
|
108 | }
|
109 | }); |
\ | No newline at end of file |