feat:node-modules

node_modules/mathjs/lib/esm/function/set/setIntersect.js

@@ -0,0 +1,63 @@
+import { flatten, generalize, identify } from '../../utils/array.js';
+import { factory } from '../../utils/factory.js';
+var name = 'setIntersect';
+var dependencies = ['typed', 'size', 'subset', 'compareNatural', 'Index', 'DenseMatrix'];
+export var createSetIntersect = /* #__PURE__ */factory(name, dependencies, _ref => {
+  var {
+    typed,
+    size,
+    subset,
+    compareNatural,
+    Index,
+    DenseMatrix
+  } = _ref;
+  /**
+   * Create the intersection of two (multi)sets.
+   * Multi-dimension arrays will be converted to single-dimension arrays before the operation.
+   *
+   * Syntax:
+   *
+   *    math.setIntersect(set1, set2)
+   *
+   * Examples:
+   *
+   *    math.setIntersect([1, 2, 3, 4], [3, 4, 5, 6])            // returns [3, 4]
+   *    math.setIntersect([[1, 2], [3, 4]], [[3, 4], [5, 6]])    // returns [3, 4]
+   *
+   * See also:
+   *
+   *    setUnion, setDifference
+   *
+   * @param {Array | Matrix}    a1  A (multi)set
+   * @param {Array | Matrix}    a2  A (multi)set
+   * @return {Array | Matrix}    The intersection of two (multi)sets
+   */
+  return typed(name, {
+    'Array | Matrix, Array | Matrix': function Array__Matrix_Array__Matrix(a1, a2) {
+      var result;
+      if (subset(size(a1), new Index(0)) === 0 || subset(size(a2), new Index(0)) === 0) {
+        // of any of them is empty, return empty
+        result = [];
+      } 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 = [];
+        for (var i = 0; i < b1.length; i++) {
+          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
+              result.push(b1[i]);
+              break;
+            }
+          }
+        }
+      }
+      // 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));
+    }
+  });
+});