| 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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