simple-squiggle

A restricted subset of Squiggle
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setDistinct.js (1589B)

      1 import { flatten } from '../../utils/array.js';
      2 import { factory } from '../../utils/factory.js';
      3 var name = 'setDistinct';
      4 var dependencies = ['typed', 'size', 'subset', 'compareNatural', 'Index', 'DenseMatrix'];
      5 export var createSetDistinct = /* #__PURE__ */factory(name, dependencies, _ref => {
      6   var {
      7     typed,
      8     size,
      9     subset,
     10     compareNatural,
     11     Index,
     12     DenseMatrix
     13   } = _ref;
     14 
     15   /**
     16    * Collect the distinct elements of a multiset.
     17    * A multi-dimension array will be converted to a single-dimension array before the operation.
     18    *
     19    * Syntax:
     20    *
     21    *    math.setDistinct(set)
     22    *
     23    * Examples:
     24    *
     25    *    math.setDistinct([1, 1, 1, 2, 2, 3])        // returns [1, 2, 3]
     26    *
     27    * See also:
     28    *
     29    *    setMultiplicity
     30    *
     31    * @param {Array | Matrix}    a  A multiset
     32    * @return {Array | Matrix}    A set containing the distinc elements of the multiset
     33    */
     34   return typed(name, {
     35     'Array | Matrix': function ArrayMatrix(a) {
     36       var result;
     37 
     38       if (subset(size(a), new Index(0)) === 0) {
     39         // if empty, return empty
     40         result = [];
     41       } else {
     42         var b = flatten(Array.isArray(a) ? a : a.toArray()).sort(compareNatural);
     43         result = [];
     44         result.push(b[0]);
     45 
     46         for (var i = 1; i < b.length; i++) {
     47           if (compareNatural(b[i], b[i - 1]) !== 0) {
     48             result.push(b[i]);
     49           }
     50         }
     51       } // return an array, if the input was an array
     52 
     53 
     54       if (Array.isArray(a)) {
     55         return result;
     56       } // return a matrix otherwise
     57 
     58 
     59       return new DenseMatrix(result);
     60     }
     61   });
     62 });