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- import { flatten, generalize, identify } from '../../utils/array.js';
- import { factory } from '../../utils/factory.js';
- var name = 'setDifference';
- var dependencies = ['typed', 'size', 'subset', 'compareNatural', 'Index', 'DenseMatrix'];
- export var createSetDifference = /* #__PURE__ */factory(name, dependencies, _ref => {
- var {
- typed,
- size,
- subset,
- compareNatural,
- Index,
- DenseMatrix
- } = _ref;
- /**
- * Create the difference of two (multi)sets: every element of set1, that is not the element of set2.
- * Multi-dimension arrays will be converted to single-dimension arrays before the operation.
- *
- * Syntax:
- *
- * math.setDifference(set1, set2)
- *
- * Examples:
- *
- * math.setDifference([1, 2, 3, 4], [3, 4, 5, 6]) // returns [1, 2]
- * math.setDifference([[1, 2], [3, 4]], [[3, 4], [5, 6]]) // returns [1, 2]
- *
- * See also:
- *
- * setUnion, setIntersect, setSymDifference
- *
- * @param {Array | Matrix} a1 A (multi)set
- * @param {Array | Matrix} a2 A (multi)set
- * @return {Array | Matrix} The difference of two (multi)sets
- */
- return typed(name, {
- 'Array | Matrix, Array | Matrix': function ArrayMatrixArrayMatrix(a1, a2) {
- var result;
- if (subset(size(a1), new Index(0)) === 0) {
- // empty-anything=empty
- result = [];
- } else if (subset(size(a2), new Index(0)) === 0) {
- // anything-empty=anything
- return flatten(a1.toArray());
- } else {
- var b1 = identify(flatten(Array.isArray(a1) ? a1 : a1.toArray()).sort(compareNatural));
- var b2 = identify(flatten(Array.isArray(a2) ? a2 : a2.toArray()).sort(compareNatural));
- result = [];
- var inb2;
- for (var i = 0; i < b1.length; i++) {
- inb2 = false;
- for (var j = 0; j < b2.length; j++) {
- if (compareNatural(b1[i].value, b2[j].value) === 0 && b1[i].identifier === b2[j].identifier) {
- // the identifier is always a decimal int
- inb2 = true;
- break;
- }
- }
- if (!inb2) {
- result.push(b1[i]);
- }
- }
- }
- // return an array, if both inputs were arrays
- if (Array.isArray(a1) && Array.isArray(a2)) {
- return generalize(result);
- }
- // return a matrix otherwise
- return new DenseMatrix(generalize(result));
- }
- });
- });
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