simple-squiggle

A restricted subset of Squiggle
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min.js (3096B)

      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 });