setDifference.js (2418B)
1 import { flatten, generalize, identify } from '../../utils/array.js'; 2 import { factory } from '../../utils/factory.js'; 3 var name = 'setDifference'; 4 var dependencies = ['typed', 'size', 'subset', 'compareNatural', 'Index', 'DenseMatrix']; 5 export var createSetDifference = /* #__PURE__ */factory(name, dependencies, _ref => { 6 var { 7 typed, 8 size, 9 subset, 10 compareNatural, 11 Index, 12 DenseMatrix 13 } = _ref; 14 15 /** 16 * Create the difference of two (multi)sets: every element of set1, that is not the element of set2. 17 * Multi-dimension arrays will be converted to single-dimension arrays before the operation. 18 * 19 * Syntax: 20 * 21 * math.setDifference(set1, set2) 22 * 23 * Examples: 24 * 25 * math.setDifference([1, 2, 3, 4], [3, 4, 5, 6]) // returns [1, 2] 26 * math.setDifference([[1, 2], [3, 4]], [[3, 4], [5, 6]]) // returns [1, 2] 27 * 28 * See also: 29 * 30 * setUnion, setIntersect, setSymDifference 31 * 32 * @param {Array | Matrix} a1 A (multi)set 33 * @param {Array | Matrix} a2 A (multi)set 34 * @return {Array | Matrix} The difference of two (multi)sets 35 */ 36 return typed(name, { 37 'Array | Matrix, Array | Matrix': function ArrayMatrixArrayMatrix(a1, a2) { 38 var result; 39 40 if (subset(size(a1), new Index(0)) === 0) { 41 // empty-anything=empty 42 result = []; 43 } else if (subset(size(a2), new Index(0)) === 0) { 44 // anything-empty=anything 45 return flatten(a1.toArray()); 46 } else { 47 var b1 = identify(flatten(Array.isArray(a1) ? a1 : a1.toArray()).sort(compareNatural)); 48 var b2 = identify(flatten(Array.isArray(a2) ? a2 : a2.toArray()).sort(compareNatural)); 49 result = []; 50 var inb2; 51 52 for (var i = 0; i < b1.length; i++) { 53 inb2 = false; 54 55 for (var j = 0; j < b2.length; j++) { 56 if (compareNatural(b1[i].value, b2[j].value) === 0 && b1[i].identifier === b2[j].identifier) { 57 // the identifier is always a decimal int 58 inb2 = true; 59 break; 60 } 61 } 62 63 if (!inb2) { 64 result.push(b1[i]); 65 } 66 } 67 } // return an array, if both inputs were arrays 68 69 70 if (Array.isArray(a1) && Array.isArray(a2)) { 71 return generalize(result); 72 } // return a matrix otherwise 73 74 75 return new DenseMatrix(generalize(result)); 76 } 77 }); 78 });