feat:node-modules

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

@@ -0,0 +1,57 @@
+import { flatten } from '../../utils/array.js';
+import { factory } from '../../utils/factory.js';
+var name = 'setDistinct';
+var dependencies = ['typed', 'size', 'subset', 'compareNatural', 'Index', 'DenseMatrix'];
+export var createSetDistinct = /* #__PURE__ */factory(name, dependencies, _ref => {
+  var {
+    typed,
+    size,
+    subset,
+    compareNatural,
+    Index,
+    DenseMatrix
+  } = _ref;
+  /**
+   * Collect the distinct elements of a multiset.
+   * A multi-dimension array will be converted to a single-dimension array before the operation.
+   *
+   * Syntax:
+   *
+   *    math.setDistinct(set)
+   *
+   * Examples:
+   *
+   *    math.setDistinct([1, 1, 1, 2, 2, 3])        // returns [1, 2, 3]
+   *
+   * See also:
+   *
+   *    setMultiplicity
+   *
+   * @param {Array | Matrix}    a  A multiset
+   * @return {Array | Matrix}    A set containing the distinc elements of the multiset
+   */
+  return typed(name, {
+    'Array | Matrix': function Array__Matrix(a) {
+      var result;
+      if (subset(size(a), new Index(0)) === 0) {
+        // if empty, return empty
+        result = [];
+      } else {
+        var b = flatten(Array.isArray(a) ? a : a.toArray()).sort(compareNatural);
+        result = [];
+        result.push(b[0]);
+        for (var i = 1; i < b.length; i++) {
+          if (compareNatural(b[i], b[i - 1]) !== 0) {
+            result.push(b[i]);
+          }
+        }
+      }
+      // return an array, if the input was an array
+      if (Array.isArray(a)) {
+        return result;
+      }
+      // return a matrix otherwise
+      return new DenseMatrix(result);
+    }
+  });
+});