1 | import { containsCollections, deepForEach, reduce } from '../../utils/collection'
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2 | import { factory } from '../../utils/factory'
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3 | import { improveErrorMessage } from './utils/improveErrorMessage'
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4 |
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5 | const name = 'min'
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6 | const dependencies = ['typed', 'smaller']
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7 |
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8 | export const createMin = /* #__PURE__ */ factory(name, dependencies, ({ typed, smaller }) => {
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9 | /**
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10 | * Compute the minimum value of a matrix or a list of values.
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11 | * In case of a multi dimensional array, the minimum of the flattened array
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12 | * will be calculated. When `dim` is provided, the minimum over the selected
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13 | * dimension will be calculated. Parameter `dim` is zero-based.
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14 | *
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15 | * Syntax:
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16 | *
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17 | * math.min(a, b, c, ...)
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18 | * math.min(A)
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19 | * math.min(A, dim)
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20 | *
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21 | * Examples:
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22 | *
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23 | * math.min(2, 1, 4, 3) // returns 1
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24 | * math.min([2, 1, 4, 3]) // returns 1
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25 | *
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26 | * // minimum over a specified dimension (zero-based)
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27 | * math.min([[2, 5], [4, 3], [1, 7]], 0) // returns [1, 3]
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28 | * math.min([[2, 5], [4, 3], [1, 7]], 1) // returns [2, 3, 1]
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29 | *
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30 | * math.max(2.7, 7.1, -4.5, 2.0, 4.1) // returns 7.1
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31 | * math.min(2.7, 7.1, -4.5, 2.0, 4.1) // returns -4.5
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32 | *
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33 | * See also:
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34 | *
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35 | * mean, median, max, prod, std, sum, variance
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36 | *
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37 | * @param {... *} args A single matrix or or multiple scalar values
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38 | * @return {*} The minimum value
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39 | */
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40 | return typed(name, {
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41 | // min([a, b, c, d, ...])
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42 | 'Array | Matrix': _min,
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43 |
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44 | // min([a, b, c, d, ...], dim)
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45 | 'Array | Matrix, number | BigNumber': function (array, dim) {
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46 | return reduce(array, dim.valueOf(), _smallest)
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47 | },
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48 |
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49 | // min(a, b, c, d, ...)
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50 | '...': function (args) {
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51 | if (containsCollections(args)) {
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52 | throw new TypeError('Scalar values expected in function min')
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53 | }
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54 |
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55 | return _min(args)
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56 | }
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57 | })
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58 |
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59 | /**
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60 | * Return the smallest of two values
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61 | * @param {*} x
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62 | * @param {*} y
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63 | * @returns {*} Returns x when x is smallest, or y when y is smallest
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64 | * @private
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65 | */
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66 | function _smallest (x, y) {
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67 | try {
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68 | return smaller(x, y) ? x : y
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69 | } catch (err) {
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70 | throw improveErrorMessage(err, 'min', y)
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71 | }
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72 | }
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73 |
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74 | /**
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75 | * Recursively calculate the minimum value in an n-dimensional array
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76 | * @param {Array} array
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77 | * @return {number} min
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78 | * @private
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79 | */
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80 | function _min (array) {
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81 | let min
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82 |
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83 | deepForEach(array, function (value) {
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84 | try {
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85 | if (isNaN(value) && typeof value === 'number') {
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86 | min = NaN
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87 | } else if (min === undefined || smaller(value, min)) {
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88 | min = value
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89 | }
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90 | } catch (err) {
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91 | throw improveErrorMessage(err, 'min', value)
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92 | }
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93 | })
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94 |
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95 | if (min === undefined) {
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96 | throw new Error('Cannot calculate min of an empty array')
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97 | }
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98 |
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99 | return min
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100 | }
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101 | })
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