undirected-graph-typed - npm Package Compare versions

Comparing version 1.53.7 to 1.53.8

dist/common/index.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.Range = exports.DFSOperation = void 0;
+const utils_1 = require("../utils");
 var DFSOperation;
@@ -15,2 +16,6 @@ (function (DFSOperation) {
         this.includeHigh = includeHigh;
+        if (!((0, utils_1.isComparable)(low) && (0, utils_1.isComparable)(high)))
+            throw new RangeError('low or high is not comparable');
+        if (low > high)
+            throw new RangeError('low must be less than or equal to high');
     }
@@ -17,0 +22,0 @@ // Determine whether a key is within the range

dist/data-structures/binary-tree/avl-tree-multi-map.d.ts

@@ -105,3 +105,3 @@ /**
      */
-    keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V, count?: number): [NODE | undefined, V | undefined];
+    protected _keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V, count?: number): [NODE | undefined, V | undefined];
     /**
@@ -108,0 +108,0 @@ * Time Complexity: O(log n)

dist/data-structures/binary-tree/avl-tree-multi-map.js

@@ -123,3 +123,3 @@ "use strict";
      */
-    keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count = 1) {
+    _keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count = 1) {
         if (keyNodeEntryOrRaw === undefined || keyNodeEntryOrRaw === null)
@@ -164,3 +164,3 @@ return [undefined, undefined];
     add(keyNodeEntryOrRaw, value, count = 1) {
-        const [newNode, newValue] = this.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count);
+        const [newNode, newValue] = this._keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count);
         if (newNode === undefined)
@@ -167,0 +167,0 @@ return false;

dist/data-structures/binary-tree/binary-tree.d.ts

@@ -95,3 +95,3 @@ /**
      */
-    keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V): [OptNodeOrNull<NODE>, V | undefined];
+    protected _keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V): [OptNodeOrNull<NODE>, V | undefined];
     /**
@@ -98,0 +98,0 @@ * Time Complexity: O(n)

dist/data-structures/binary-tree/bst.d.ts

@@ -50,16 +50,24 @@ /**
  * @example
- * // Find kth smallest element
- *     // Create a BST with some elements
- *     const bst = new BST<number>([5, 3, 7, 1, 4, 6, 8]);
- *     const sortedKeys = bst.dfs(node => node.key, 'IN');
+ * // Merge 3 sorted datasets
+ *     const dataset1 = new BST<number, string>([
+ *       [1, 'A'],
+ *       [7, 'G']
+ *     ]);
+ *     const dataset2 = [
+ *       [2, 'B'],
+ *       [6, 'F']
+ *     ];
+ *     const dataset3 = new BST<number, string>([
+ *       [3, 'C'],
+ *       [5, 'E'],
+ *       [4, 'D']
+ *     ]);
  *
- *     // Helper function to find kth smallest
- *     const findKthSmallest = (k: number): number | undefined => {
- *       return sortedKeys[k - 1];
- *     };
+ *     // Merge datasets into a single BinarySearchTree
+ *     const merged = new BST<number, string>(dataset1);
+ *     merged.addMany(dataset2);
+ *     merged.merge(dataset3);
  *
- *     // Assertions
- *     console.log(findKthSmallest(1)); // 1
- *     console.log(findKthSmallest(3)); // 4
- *     console.log(findKthSmallest(7)); // 8
+ *     // Verify merged dataset is in sorted order
+ *     console.log([...merged.values()]); // ['A', 'B', 'C', 'D', 'E', 'F', 'G']
  * @example
@@ -69,5 +77,5 @@ * // Find elements in a range
  *     console.log(bst.search(new Range(5, 10))); // [10, 5, 7]
- *     console.log(bst.search(new Range(4, 12))); // [10, 12, 5, 7]
+ *     console.log(bst.rangeSearch([4, 12], node => node.key.toString())); // ['10', '12', '5', '7']
  *     console.log(bst.search(new Range(4, 12, true, false))); // [10, 5, 7]
- *     console.log(bst.search(new Range(15, 20))); // [15, 18]
+ *     console.log(bst.rangeSearch([15, 20])); // [15, 18]
  *     console.log(bst.search(new Range(15, 20, false))); // [18]
@@ -78,2 +86,10 @@ * @example
  *
+ *     // LCA helper function
+ *     const findLCA = (num1: number, num2: number): number | undefined => {
+ *       const path1 = bst.getPathToRoot(num1);
+ *       const path2 = bst.getPathToRoot(num2);
+ *       // Find the first common ancestor
+ *       return findFirstCommon(path1, path2);
+ *     };
+ *
  *     function findFirstCommon(arr1: number[], arr2: number[]): number | undefined {
@@ -88,10 +104,2 @@ *       for (const num of arr1) {
  *
- *     // LCA helper function
- *     const findLCA = (num1: number, num2: number): number | undefined => {
- *       const path1 = bst.getPathToRoot(num1);
- *       const path2 = bst.getPathToRoot(num2);
- *       // Find the first common ancestor
- *       return findFirstCommon(path1, path2);
- *     };
- *
  *     // Assertions
@@ -151,3 +159,3 @@ *     console.log(findLCA(3, 10)); // 7
      */
-    keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V): [OptNode<NODE>, V | undefined];
+    protected _keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V): [OptNode<NODE>, V | undefined];
     /**
@@ -261,2 +269,24 @@ * Time Complexity: O(log n)
      * Time Complexity: O(log n)
+     * Space Complexity: O(n)
+     *
+     * The `rangeSearch` function searches for nodes within a specified range in a binary search tree.
+     * @param {Range<K> | [K, K]} range - The `range` parameter in the `rangeSearch` function can be
+     * either a `Range` object or an array of two elements representing the range boundaries.
+     * @param {C} callback - The `callback` parameter in the `rangeSearch` function is a callback
+     * function that is used to process each node that is found within the specified range during the
+     * search operation. It is of type `NodeCallback<NODE>`, where `NODE` is the type of nodes in the
+     * data structure.
+     * @param {BTNRep<K, V, NODE> | R} startNode - The `startNode` parameter in the `rangeSearch`
+     * function represents the node from which the search for nodes within the specified range will
+     * begin. It is the starting point for the range search operation.
+     * @param {IterationType} iterationType - The `iterationType` parameter in the `rangeSearch` function
+     * is used to specify the type of iteration to be performed during the search operation. It has a
+     * default value of `this.iterationType`, which suggests that it is likely a property of the class or
+     * object that the `rangeSearch`
+     * @returns The `rangeSearch` function is returning the result of calling the `search` method with
+     * the specified parameters.
+     */
+    rangeSearch<C extends NodeCallback<NODE>>(range: Range<K> | [K, K], callback?: C, startNode?: BTNRep<K, V, NODE> | R, iterationType?: IterationType): ReturnType<C>[];
+    /**
+     * Time Complexity: O(log n)
      * Space Complexity: O(1)
@@ -263,0 +293,0 @@ *

dist/data-structures/binary-tree/bst.js

@@ -7,2 +7,3 @@ "use strict";
 const utils_1 = require("../../utils");
+const common_1 = require("../../common");
 class BSTNode extends binary_tree_1.BinaryTreeNode {
@@ -63,16 +64,24 @@ constructor(key, value) {
  * @example
- * // Find kth smallest element
- *     // Create a BST with some elements
- *     const bst = new BST<number>([5, 3, 7, 1, 4, 6, 8]);
- *     const sortedKeys = bst.dfs(node => node.key, 'IN');
+ * // Merge 3 sorted datasets
+ *     const dataset1 = new BST<number, string>([
+ *       [1, 'A'],
+ *       [7, 'G']
+ *     ]);
+ *     const dataset2 = [
+ *       [2, 'B'],
+ *       [6, 'F']
+ *     ];
+ *     const dataset3 = new BST<number, string>([
+ *       [3, 'C'],
+ *       [5, 'E'],
+ *       [4, 'D']
+ *     ]);
  *
- *     // Helper function to find kth smallest
- *     const findKthSmallest = (k: number): number | undefined => {
- *       return sortedKeys[k - 1];
- *     };
+ *     // Merge datasets into a single BinarySearchTree
+ *     const merged = new BST<number, string>(dataset1);
+ *     merged.addMany(dataset2);
+ *     merged.merge(dataset3);
  *
- *     // Assertions
- *     console.log(findKthSmallest(1)); // 1
- *     console.log(findKthSmallest(3)); // 4
- *     console.log(findKthSmallest(7)); // 8
+ *     // Verify merged dataset is in sorted order
+ *     console.log([...merged.values()]); // ['A', 'B', 'C', 'D', 'E', 'F', 'G']
  * @example
@@ -82,5 +91,5 @@ * // Find elements in a range
  *     console.log(bst.search(new Range(5, 10))); // [10, 5, 7]
- *     console.log(bst.search(new Range(4, 12))); // [10, 12, 5, 7]
+ *     console.log(bst.rangeSearch([4, 12], node => node.key.toString())); // ['10', '12', '5', '7']
  *     console.log(bst.search(new Range(4, 12, true, false))); // [10, 5, 7]
- *     console.log(bst.search(new Range(15, 20))); // [15, 18]
+ *     console.log(bst.rangeSearch([15, 20])); // [15, 18]
  *     console.log(bst.search(new Range(15, 20, false))); // [18]
@@ -91,2 +100,10 @@ * @example
  *
+ *     // LCA helper function
+ *     const findLCA = (num1: number, num2: number): number | undefined => {
+ *       const path1 = bst.getPathToRoot(num1);
+ *       const path2 = bst.getPathToRoot(num2);
+ *       // Find the first common ancestor
+ *       return findFirstCommon(path1, path2);
+ *     };
+ *
  *     function findFirstCommon(arr1: number[], arr2: number[]): number | undefined {
@@ -101,10 +118,2 @@ *       for (const num of arr1) {
  *
- *     // LCA helper function
- *     const findLCA = (num1: number, num2: number): number | undefined => {
- *       const path1 = bst.getPathToRoot(num1);
- *       const path2 = bst.getPathToRoot(num2);
- *       // Find the first common ancestor
- *       return findFirstCommon(path1, path2);
- *     };
- *
  *     // Assertions
@@ -203,4 +212,4 @@ *     console.log(findLCA(3, 10)); // 7
      */
-    keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value) {
-        const [node, entryValue] = super.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value);
+    _keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value) {
+        const [node, entryValue] = super._keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value);
         if (node === null)
@@ -262,3 +271,3 @@ return [undefined, undefined];
     add(keyNodeEntryOrRaw, value) {
-        const [newNode, newValue] = this.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value);
+        const [newNode, newValue] = this._keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value);
         if (newNode === undefined)
@@ -559,2 +568,27 @@ return false;
      * Time Complexity: O(log n)
+     * Space Complexity: O(n)
+     *
+     * The `rangeSearch` function searches for nodes within a specified range in a binary search tree.
+     * @param {Range<K> | [K, K]} range - The `range` parameter in the `rangeSearch` function can be
+     * either a `Range` object or an array of two elements representing the range boundaries.
+     * @param {C} callback - The `callback` parameter in the `rangeSearch` function is a callback
+     * function that is used to process each node that is found within the specified range during the
+     * search operation. It is of type `NodeCallback<NODE>`, where `NODE` is the type of nodes in the
+     * data structure.
+     * @param {BTNRep<K, V, NODE> | R} startNode - The `startNode` parameter in the `rangeSearch`
+     * function represents the node from which the search for nodes within the specified range will
+     * begin. It is the starting point for the range search operation.
+     * @param {IterationType} iterationType - The `iterationType` parameter in the `rangeSearch` function
+     * is used to specify the type of iteration to be performed during the search operation. It has a
+     * default value of `this.iterationType`, which suggests that it is likely a property of the class or
+     * object that the `rangeSearch`
+     * @returns The `rangeSearch` function is returning the result of calling the `search` method with
+     * the specified parameters.
+     */
+    rangeSearch(range, callback = this._DEFAULT_NODE_CALLBACK, startNode = this._root, iterationType = this.iterationType) {
+        const searchRange = range instanceof common_1.Range ? range : new common_1.Range(range[0], range[1]);
+        return this.search(searchRange, false, callback, startNode, iterationType);
+    }
+    /**
+     * Time Complexity: O(log n)
      * Space Complexity: O(1)
@@ -561,0 +595,0 @@ *

dist/data-structures/binary-tree/index.d.ts

@@ -6,4 +6,4 @@ export * from './binary-tree';
 export * from './avl-tree';
-export * from './rb-tree';
+export * from './red-black-tree';
 export * from './avl-tree-multi-map';
 export * from './tree-multi-map';

dist/data-structures/binary-tree/index.js

@@ -22,4 +22,4 @@ "use strict";
 __exportStar(require("./avl-tree"), exports);
-__exportStar(require("./rb-tree"), exports);
+__exportStar(require("./red-black-tree"), exports);
 __exportStar(require("./avl-tree-multi-map"), exports);
 __exportStar(require("./tree-multi-map"), exports);

dist/data-structures/binary-tree/tree-multi-map.d.ts

@@ -10,3 +10,3 @@ /**
 import { IBinaryTree } from '../../interfaces';
-import { RedBlackTree, RedBlackTreeNode } from './rb-tree';
+import { RedBlackTree, RedBlackTreeNode } from './red-black-tree';
 export declare class TreeMultiMapNode<K = any, V = any, NODE extends TreeMultiMapNode<K, V, NODE> = TreeMultiMapNodeNested<K, V>> extends RedBlackTreeNode<K, V, NODE> {
@@ -100,3 +100,3 @@ /**
      */
-    keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V, count?: number): [NODE | undefined, V | undefined];
+    protected _keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V, count?: number): [NODE | undefined, V | undefined];
     /**
@@ -103,0 +103,0 @@ * The function checks if the input is an instance of the TreeMultiMapNode class.

dist/data-structures/binary-tree/tree-multi-map.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.TreeMultiMap = exports.TreeMultiMapNode = void 0;
-const rb_tree_1 = require("./rb-tree");
-class TreeMultiMapNode extends rb_tree_1.RedBlackTreeNode {
+const red_black_tree_1 = require("./red-black-tree");
+class TreeMultiMapNode extends red_black_tree_1.RedBlackTreeNode {
     /**
@@ -40,3 +40,3 @@ * The constructor function initializes a Red-Black Tree node with a key, value, count, and color.
 exports.TreeMultiMapNode = TreeMultiMapNode;
-class TreeMultiMap extends rb_tree_1.RedBlackTree {
+class TreeMultiMap extends red_black_tree_1.RedBlackTree {
     /**
@@ -117,3 +117,3 @@ * The constructor function initializes a TreeMultiMap object with optional initial data.
      */
-    keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count = 1) {
+    _keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count = 1) {
         if (keyNodeEntryOrRaw === undefined || keyNodeEntryOrRaw === null)
@@ -168,3 +168,3 @@ return [undefined, undefined];
     add(keyNodeEntryOrRaw, value, count = 1) {
-        const [newNode, newValue] = this.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count);
+        const [newNode, newValue] = this._keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count);
         const orgCount = (newNode === null || newNode === void 0 ? void 0 : newNode.count) || 0;
@@ -171,0 +171,0 @@ const isSuccessAdded = super.add(newNode, newValue);

dist/data-structures/hash/hash-map.d.ts

@@ -65,2 +65,5 @@ /**
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if a given element is an array with exactly two elements.
@@ -73,2 +76,5 @@ * @param {any} rawElement - The `rawElement` parameter is of type `any`, which means it can be any
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if the size of an object is equal to zero and returns a boolean value.
@@ -79,2 +85,5 @@ * @returns A boolean value indicating whether the size of the object is 0 or not.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The clear() function resets the state of an object by clearing its internal store, object map, and
@@ -85,2 +94,5 @@ * size.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `set` function adds a key-value pair to a map-like data structure, incrementing the size if
@@ -96,2 +108,5 @@ * the key is not already present.
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
      * The function `setMany` takes an iterable collection of objects, maps each object to a key-value
@@ -105,2 +120,5 @@ * pair using a mapping function, and sets each key-value pair in the current object.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `get` function retrieves a value from a map based on a given key, either from an object map or
@@ -115,2 +133,5 @@ * a string map.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `has` function checks if a given key exists in the `_objMap` or `_store` based on whether it
@@ -123,2 +144,5 @@ * is an object key or not.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `delete` function removes an element from a map-like data structure based on the provided key.
@@ -303,2 +327,5 @@ * @param {K} key - The `key` parameter is the key of the element that you want to delete from the
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
      * The function `setMany` takes an iterable collection, converts each element into a key-value pair
@@ -313,2 +340,5 @@ * using a provided function, and sets each key-value pair in the current object, returning an array
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if a given key exists in a map, using different logic depending on whether the
@@ -315,0 +345,0 @@ * key is a weak key or not.

dist/data-structures/hash/hash-map.js

@@ -78,2 +78,5 @@ "use strict";
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if a given element is an array with exactly two elements.
@@ -88,2 +91,5 @@ * @param {any} rawElement - The `rawElement` parameter is of type `any`, which means it can be any
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if the size of an object is equal to zero and returns a boolean value.
@@ -96,2 +102,5 @@ * @returns A boolean value indicating whether the size of the object is 0 or not.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The clear() function resets the state of an object by clearing its internal store, object map, and
@@ -106,2 +115,5 @@ * size.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `set` function adds a key-value pair to a map-like data structure, incrementing the size if
@@ -132,2 +144,5 @@ * the key is not already present.
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
      * The function `setMany` takes an iterable collection of objects, maps each object to a key-value
@@ -158,2 +173,5 @@ * pair using a mapping function, and sets each key-value pair in the current object.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `get` function retrieves a value from a map based on a given key, either from an object map or
@@ -177,2 +195,5 @@ * a string map.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `has` function checks if a given key exists in the `_objMap` or `_store` based on whether it
@@ -193,2 +214,5 @@ * is an object key or not.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `delete` function removes an element from a map-like data structure based on the provided key.
@@ -534,2 +558,5 @@ * @param {K} key - The `key` parameter is the key of the element that you want to delete from the
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
      * The function `setMany` takes an iterable collection, converts each element into a key-value pair
@@ -561,2 +588,5 @@ * using a provided function, and sets each key-value pair in the current object, returning an array
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if a given key exists in a map, using different logic depending on whether the
@@ -563,0 +593,0 @@ * key is a weak key or not.

dist/data-structures/heap/heap.d.ts

@@ -227,7 +227,24 @@ /**
      *
-     * Insert an element into the heap and maintain the heap properties.
-     * @param element - The element to be inserted.
+     * The add function pushes an element into an array and then triggers a bubble-up operation.
+     * @param {E} element - The `element` parameter represents the element that you want to add to the
+     * data structure.
+     * @returns The `add` method is returning a boolean value, which is the result of calling the
+     * `_bubbleUp` method with the index `this.elements.length - 1` as an argument.
      */
     add(element: E): boolean;
     /**
+     * Time Complexity: O(k log n)
+     * Space Complexity: O(1)
+     *
+     * The `addMany` function iterates over elements and adds them to a collection, returning an array of
+     * boolean values indicating success or failure.
+     * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `addMany` method is
+     * an iterable containing elements of type `E` or `R`. The method iterates over each element in the
+     * iterable and adds them to the data structure. If a transformation function `_toElementFn` is
+     * provided, it transforms the element
+     * @returns The `addMany` method returns an array of boolean values indicating whether each element
+     * in the input iterable was successfully added to the data structure.
+     */
+    addMany(elements: Iterable<E> | Iterable<R>): boolean[];
+    /**
      * Time Complexity: O(log n)
@@ -344,3 +361,3 @@ * Space Complexity: O(1)
     /**
-     * Time Complexity: O(n log n)
+     * Time Complexity: O(n)
      * Space Complexity: O(n)
@@ -347,0 +364,0 @@ *

dist/data-structures/heap/heap.js

@@ -221,10 +221,3 @@ "use strict";
         }
-        if (elements) {
-            for (const el of elements) {
-                if (this.toElementFn)
-                    this.add(this.toElementFn(el));
-                else
-                    this.add(el);
-            }
-        }
+        this.addMany(elements);
     }
@@ -265,4 +258,7 @@ /**
      *
-     * Insert an element into the heap and maintain the heap properties.
-     * @param element - The element to be inserted.
+     * The add function pushes an element into an array and then triggers a bubble-up operation.
+     * @param {E} element - The `element` parameter represents the element that you want to add to the
+     * data structure.
+     * @returns The `add` method is returning a boolean value, which is the result of calling the
+     * `_bubbleUp` method with the index `this.elements.length - 1` as an argument.
      */
@@ -274,2 +270,26 @@ add(element) {
     /**
+     * Time Complexity: O(k log n)
+     * Space Complexity: O(1)
+     *
+     * The `addMany` function iterates over elements and adds them to a collection, returning an array of
+     * boolean values indicating success or failure.
+     * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `addMany` method is
+     * an iterable containing elements of type `E` or `R`. The method iterates over each element in the
+     * iterable and adds them to the data structure. If a transformation function `_toElementFn` is
+     * provided, it transforms the element
+     * @returns The `addMany` method returns an array of boolean values indicating whether each element
+     * in the input iterable was successfully added to the data structure.
+     */
+    addMany(elements) {
+        const ans = [];
+        for (const el of elements) {
+            if (this._toElementFn) {
+                ans.push(this.add(this._toElementFn(el)));
+                continue;
+            }
+            ans.push(this.add(el));
+        }
+        return ans;
+    }
+    /**
      * Time Complexity: O(log n)
@@ -476,3 +496,3 @@ * Space Complexity: O(1)
     /**
-     * Time Complexity: O(n log n)
+     * Time Complexity: O(n)
      * Space Complexity: O(n)
@@ -479,0 +499,0 @@ *

dist/data-structures/linked-list/doubly-linked-list.d.ts

@@ -500,3 +500,3 @@ /**
      */
-    constructor(elements?: Iterable<E> | Iterable<R>, options?: DoublyLinkedListOptions<E, R>);
+    constructor(elements?: Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>, options?: DoublyLinkedListOptions<E, R>);
     protected _head: DoublyLinkedListNode<E> | undefined;
@@ -590,2 +590,31 @@ /**
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The function `pushMany` iterates over elements and pushes them into a data structure, applying a
+     * transformation function if provided.
+     * @param {Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>} elements - The `elements`
+     * parameter in the `pushMany` function can accept an iterable containing elements of type `E`, `R`,
+     * or `DoublyLinkedListNode<E>`. The function iterates over each element in the iterable and pushes
+     * it onto the linked list. If a transformation function `to
+     * @returns The `pushMany` function is returning an array of boolean values (`ans`) which indicate
+     * the success or failure of pushing each element into the data structure.
+     */
+    pushMany(elements: Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>): boolean[];
+    /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The function `unshiftMany` iterates through a collection of elements and adds them to the
+     * beginning of a Doubly Linked List, returning an array of boolean values indicating the success of
+     * each insertion.
+     * @param {Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>} elements - The `elements`
+     * parameter in the `unshiftMany` function can accept an iterable containing elements of type `E`,
+     * `R`, or `DoublyLinkedListNode<E>`. The function iterates over each element in the iterable and
+     * performs an `unshift` operation on the doubly linked list
+     * @returns The `unshiftMany` function returns an array of boolean values indicating the success of
+     * each unshift operation performed on the elements passed as input.
+     */
+    unshiftMany(elements: Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>): boolean[];
+    /**
      * Time Complexity: O(n)
@@ -835,2 +864,8 @@ * Space Complexity: O(1)
      *
+     * The function `countOccurrences` iterates through a doubly linked list and counts the occurrences
+     * of a specified element or nodes that satisfy a given predicate.
+     * @param {E | DoublyLinkedListNode<E> | ((node: DoublyLinkedListNode<E>) => boolean)} elementOrNode
+     * - The `elementOrNode` parameter in the `countOccurrences` method can accept three types of values:
+     * @returns The `countOccurrences` method returns the number of occurrences of the specified element,
+     * node, or predicate function in the doubly linked list.
      */
@@ -837,0 +872,0 @@ countOccurrences(elementOrNode: E | DoublyLinkedListNode<E> | ((node: DoublyLinkedListNode<E>) => boolean)): number;

dist/data-structures/linked-list/doubly-linked-list.js

@@ -514,11 +514,3 @@ "use strict";
         this._size = 0;
-        if (elements) {
-            for (const el of elements) {
-                if (this.toElementFn) {
-                    this.push(this.toElementFn(el));
-                }
-                else
-                    this.push(el);
-            }
-        }
+        this.pushMany(elements);
     }
@@ -678,2 +670,51 @@ /**
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The function `pushMany` iterates over elements and pushes them into a data structure, applying a
+     * transformation function if provided.
+     * @param {Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>} elements - The `elements`
+     * parameter in the `pushMany` function can accept an iterable containing elements of type `E`, `R`,
+     * or `DoublyLinkedListNode<E>`. The function iterates over each element in the iterable and pushes
+     * it onto the linked list. If a transformation function `to
+     * @returns The `pushMany` function is returning an array of boolean values (`ans`) which indicate
+     * the success or failure of pushing each element into the data structure.
+     */
+    pushMany(elements) {
+        const ans = [];
+        for (const el of elements) {
+            if (this.toElementFn) {
+                ans.push(this.push(this.toElementFn(el)));
+                continue;
+            }
+            ans.push(this.push(el));
+        }
+        return ans;
+    }
+    /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The function `unshiftMany` iterates through a collection of elements and adds them to the
+     * beginning of a Doubly Linked List, returning an array of boolean values indicating the success of
+     * each insertion.
+     * @param {Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>} elements - The `elements`
+     * parameter in the `unshiftMany` function can accept an iterable containing elements of type `E`,
+     * `R`, or `DoublyLinkedListNode<E>`. The function iterates over each element in the iterable and
+     * performs an `unshift` operation on the doubly linked list
+     * @returns The `unshiftMany` function returns an array of boolean values indicating the success of
+     * each unshift operation performed on the elements passed as input.
+     */
+    unshiftMany(elements) {
+        const ans = [];
+        for (const el of elements) {
+            if (this.toElementFn) {
+                ans.push(this.unshift(this.toElementFn(el)));
+                continue;
+            }
+            ans.push(this.unshift(el));
+        }
+        return ans;
+    }
+    /**
      * Time Complexity: O(n)
@@ -1129,2 +1170,8 @@ * Space Complexity: O(1)
      *
+     * The function `countOccurrences` iterates through a doubly linked list and counts the occurrences
+     * of a specified element or nodes that satisfy a given predicate.
+     * @param {E | DoublyLinkedListNode<E> | ((node: DoublyLinkedListNode<E>) => boolean)} elementOrNode
+     * - The `elementOrNode` parameter in the `countOccurrences` method can accept three types of values:
+     * @returns The `countOccurrences` method returns the number of occurrences of the specified element,
+     * node, or predicate function in the doubly linked list.
      */
@@ -1131,0 +1178,0 @@ countOccurrences(elementOrNode) {

dist/data-structures/linked-list/singly-linked-list.d.ts

@@ -44,3 +44,3 @@ /**
 export declare class SinglyLinkedList<E = any, R = any> extends IterableElementBase<E, R, SinglyLinkedList<E, R>> {
-    constructor(elements?: Iterable<E> | Iterable<R>, options?: SinglyLinkedListOptions<E, R>);
+    constructor(elements?: Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>, options?: SinglyLinkedListOptions<E, R>);
     protected _head: SinglyLinkedListNode<E> | undefined;
@@ -116,2 +116,29 @@ /**
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The function `pushMany` iterates over elements and pushes them into a data structure, applying a
+     * transformation function if provided.
+     * @param {Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>} elements - The `elements`
+     * parameter in the `pushMany` function can accept an iterable containing elements of type `E`, `R`,
+     * or `SinglyLinkedListNode<E>`.
+     * @returns The `pushMany` function returns an array of boolean values indicating whether each
+     * element was successfully pushed into the data structure.
+     */
+    pushMany(elements: Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>): boolean[];
+    /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The function `unshiftMany` iterates over elements and adds them to a data structure, optionally
+     * converting them using a provided function.
+     * @param {Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>} elements - The `elements`
+     * parameter in the `unshiftMany` function can accept an iterable containing elements of type `E`,
+     * `R`, or `SinglyLinkedListNode<E>`. The function iterates over each element in the iterable and
+     * performs an `unshift` operation on the linked list for each
+     * @returns The `unshiftMany` function is returning an array of boolean values, where each value
+     * represents the result of calling the `unshift` method on the current instance of the class.
+     */
+    unshiftMany(elements: Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>): boolean[];
+    /**
      * Time Complexity: O(n)
@@ -204,2 +231,5 @@ * Space Complexity: O(1)
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if the length of a data structure is equal to zero and returns a boolean value indicating
@@ -211,2 +241,5 @@ * whether it is empty or not.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `clear` function resets the linked list by setting the head, tail, and length to undefined and 0 respectively.
@@ -213,0 +246,0 @@ */

dist/data-structures/linked-list/singly-linked-list.js

@@ -52,12 +52,3 @@ "use strict";
         this._size = 0;
-        if (elements) {
-            for (const el of elements) {
-                if (this.toElementFn) {
-                    this.push(this.toElementFn(el));
-                }
-                else {
-                    this.push(el);
-                }
-            }
-        }
+        this.pushMany(elements);
     }
@@ -193,2 +184,49 @@ /**
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The function `pushMany` iterates over elements and pushes them into a data structure, applying a
+     * transformation function if provided.
+     * @param {Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>} elements - The `elements`
+     * parameter in the `pushMany` function can accept an iterable containing elements of type `E`, `R`,
+     * or `SinglyLinkedListNode<E>`.
+     * @returns The `pushMany` function returns an array of boolean values indicating whether each
+     * element was successfully pushed into the data structure.
+     */
+    pushMany(elements) {
+        const ans = [];
+        for (const el of elements) {
+            if (this.toElementFn) {
+                ans.push(this.push(this.toElementFn(el)));
+                continue;
+            }
+            ans.push(this.push(el));
+        }
+        return ans;
+    }
+    /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The function `unshiftMany` iterates over elements and adds them to a data structure, optionally
+     * converting them using a provided function.
+     * @param {Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>} elements - The `elements`
+     * parameter in the `unshiftMany` function can accept an iterable containing elements of type `E`,
+     * `R`, or `SinglyLinkedListNode<E>`. The function iterates over each element in the iterable and
+     * performs an `unshift` operation on the linked list for each
+     * @returns The `unshiftMany` function is returning an array of boolean values, where each value
+     * represents the result of calling the `unshift` method on the current instance of the class.
+     */
+    unshiftMany(elements) {
+        const ans = [];
+        for (const el of elements) {
+            if (this.toElementFn) {
+                ans.push(this.unshift(this.toElementFn(el)));
+                continue;
+            }
+            ans.push(this.unshift(el));
+        }
+        return ans;
+    }
+    /**
      * Time Complexity: O(n)
@@ -371,2 +409,5 @@ * Space Complexity: O(1)
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if the length of a data structure is equal to zero and returns a boolean value indicating
@@ -380,2 +421,5 @@ * whether it is empty or not.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The `clear` function resets the linked list by setting the head, tail, and length to undefined and 0 respectively.
@@ -382,0 +426,0 @@ */

dist/data-structures/queue/deque.d.ts

@@ -119,2 +119,12 @@ /**
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
+     * The `shift()` function removes and returns the first element from a data structure, updating the
+     * internal state variables accordingly.
+     * @returns The element that is being removed from the beginning of the data structure is being
+     * returned.
+     */
+    shift(): E | undefined;
+    /**
      * Time Complexity: Amortized O(1)
@@ -131,12 +141,31 @@ * Space Complexity: O(n)
     /**
-     * Time Complexity: O(1)
-     * Space Complexity: O(1)
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
      *
-     * The `shift()` function removes and returns the first element from a data structure, updating the
-     * internal state variables accordingly.
-     * @returns The element that is being removed from the beginning of the data structure is being
-     * returned.
+     * The function `pushMany` iterates over elements and pushes them into an array after applying a
+     * transformation function if provided.
+     * @param {IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>} elements - The `elements`
+     * parameter in the `pushMany` function is expected to be an iterable containing elements of type `E`
+     * or `R`. It can be either an `IterableWithSizeOrLength<E>` or an `IterableWithSizeOrLength<R>`. The
+     * function iterates over each element
+     * @returns The `pushMany` function is returning an array of boolean values, where each value
+     * represents the result of calling the `push` method on the current object instance with the
+     * corresponding element from the input `elements` iterable.
      */
-    shift(): E | undefined;
+    pushMany(elements: IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>): boolean[];
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The `unshiftMany` function in TypeScript iterates over elements and adds them to the beginning of
+     * an array, optionally converting them using a provided function.
+     * @param {IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>} elements - The `elements`
+     * parameter in the `unshiftMany` function is an iterable containing elements of type `E` or `R`. It
+     * can be an array or any other iterable data structure that has a known size or length. The function
+     * iterates over each element in the `elements` iterable and
+     * @returns The `unshiftMany` function returns an array of boolean values indicating whether each
+     * element was successfully added to the beginning of the array.
+     */
+    unshiftMany(elements?: IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>): boolean[];
+    /**
      * Time Complexity: O(1)
@@ -143,0 +172,0 @@ * Space Complexity: O(1)

dist/data-structures/queue/deque.js

@@ -63,10 +63,3 @@ "use strict";
         this._firstInBucket = this._lastInBucket = (this._bucketSize - (_size % this._bucketSize)) >> 1;
-        for (const el of elements) {
-            if (this.toElementFn) {
-                this.push(this.toElementFn(el));
-            }
-            else {
-                this.push(el);
-            }
-        }
+        this.pushMany(elements);
     }
@@ -219,2 +212,31 @@ /**
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
+     * The `shift()` function removes and returns the first element from a data structure, updating the
+     * internal state variables accordingly.
+     * @returns The element that is being removed from the beginning of the data structure is being
+     * returned.
+     */
+    shift() {
+        if (this._size === 0)
+            return;
+        const element = this._buckets[this._bucketFirst][this._firstInBucket];
+        if (this._size !== 1) {
+            if (this._firstInBucket < this._bucketSize - 1) {
+                this._firstInBucket += 1;
+            }
+            else if (this._bucketFirst < this._bucketCount - 1) {
+                this._bucketFirst += 1;
+                this._firstInBucket = 0;
+            }
+            else {
+                this._bucketFirst = 0;
+                this._firstInBucket = 0;
+            }
+        }
+        this._size -= 1;
+        return element;
+    }
+    /**
      * Time Complexity: Amortized O(1)
@@ -252,29 +274,51 @@ * Space Complexity: O(n)
     /**
-     * Time Complexity: O(1)
-     * Space Complexity: O(1)
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
      *
-     * The `shift()` function removes and returns the first element from a data structure, updating the
-     * internal state variables accordingly.
-     * @returns The element that is being removed from the beginning of the data structure is being
-     * returned.
+     * The function `pushMany` iterates over elements and pushes them into an array after applying a
+     * transformation function if provided.
+     * @param {IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>} elements - The `elements`
+     * parameter in the `pushMany` function is expected to be an iterable containing elements of type `E`
+     * or `R`. It can be either an `IterableWithSizeOrLength<E>` or an `IterableWithSizeOrLength<R>`. The
+     * function iterates over each element
+     * @returns The `pushMany` function is returning an array of boolean values, where each value
+     * represents the result of calling the `push` method on the current object instance with the
+     * corresponding element from the input `elements` iterable.
      */
-    shift() {
-        if (this._size === 0)
-            return;
-        const element = this._buckets[this._bucketFirst][this._firstInBucket];
-        if (this._size !== 1) {
-            if (this._firstInBucket < this._bucketSize - 1) {
-                this._firstInBucket += 1;
+    pushMany(elements) {
+        const ans = [];
+        for (const el of elements) {
+            if (this.toElementFn) {
+                ans.push(this.push(this.toElementFn(el)));
             }
-            else if (this._bucketFirst < this._bucketCount - 1) {
-                this._bucketFirst += 1;
-                this._firstInBucket = 0;
+            else {
+                ans.push(this.push(el));
             }
+        }
+        return ans;
+    }
+    /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The `unshiftMany` function in TypeScript iterates over elements and adds them to the beginning of
+     * an array, optionally converting them using a provided function.
+     * @param {IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>} elements - The `elements`
+     * parameter in the `unshiftMany` function is an iterable containing elements of type `E` or `R`. It
+     * can be an array or any other iterable data structure that has a known size or length. The function
+     * iterates over each element in the `elements` iterable and
+     * @returns The `unshiftMany` function returns an array of boolean values indicating whether each
+     * element was successfully added to the beginning of the array.
+     */
+    unshiftMany(elements = []) {
+        const ans = [];
+        for (const el of elements) {
+            if (this.toElementFn) {
+                ans.push(this.unshift(this.toElementFn(el)));
+            }
             else {
-                this._bucketFirst = 0;
-                this._firstInBucket = 0;
+                ans.push(this.unshift(el));
             }
         }
-        this._size -= 1;
-        return element;
+        return ans;
     }
@@ -281,0 +325,0 @@ /**

dist/data-structures/queue/queue.d.ts

@@ -88,2 +88,14 @@ /**
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The `pushMany` function iterates over elements and pushes them into an array after applying a
+     * transformation function if provided.
+     * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `pushMany` function
+     * is an iterable containing elements of type `E` or `R`.
+     * @returns The `pushMany` function is returning an array of boolean values indicating whether each
+     * element was successfully pushed into the data structure.
+     */
+    pushMany(elements: Iterable<E> | Iterable<R>): boolean[];
+    /**
      * Time Complexity: O(1)
@@ -98,2 +110,5 @@ * Space Complexity: O(1)
     /**
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
      * The delete function removes an element from the list.
@@ -105,2 +120,5 @@ * @param {E} element - Specify the element to be deleted
     /**
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
      * The deleteAt function deletes the element at a given index.
@@ -115,3 +133,8 @@ * @param {number} index - Determine the index of the element to be deleted
      *
-     * @param index
+     * The `at` function returns the element at a specified index adjusted by an offset, or `undefined`
+     * if the index is out of bounds.
+     * @param {number} index - The `index` parameter represents the position of the element you want to
+     * retrieve from the data structure.
+     * @returns The `at` method is returning the element at the specified index adjusted by the offset
+     * `_offset`.
      */
@@ -143,2 +166,5 @@ at(index: number): E | undefined;
     /**
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
      * The `compact` function in TypeScript slices the elements array based on the offset and resets the
@@ -177,2 +203,16 @@ * offset to zero.
      * Space Complexity: O(n)
+     *
+     * The `map` function in TypeScript creates a new Queue by applying a callback function to each
+     * element in the original Queue.
+     * @param callback - The `callback` parameter is a function that will be applied to each element in
+     * the queue. It takes the current element, its index, and the queue itself as arguments, and returns
+     * a new element.
+     * @param [toElementFn] - The `toElementFn` parameter is an optional function that can be provided to
+     * convert a raw element of type `RM` to a new element of type `EM`. This function is used within the
+     * `map` method to transform each raw element before passing it to the `callback` function. If
+     * @param {any} [thisArg] - The `thisArg` parameter in the `map` function is used to specify the
+     * value of `this` when executing the `callback` function. It allows you to set the context (the
+     * value of `this`) within the callback function. If `thisArg` is provided, it will be
+     * @returns A new Queue object containing elements of type EM, which are the result of applying the
+     * callback function to each element in the original Queue object.
      */
@@ -179,0 +219,0 @@ map<EM, RM>(callback: ElementCallback<E, R, EM, Queue<E, R>>, toElementFn?: (rawElement: RM) => EM, thisArg?: any): Queue<EM, RM>;

dist/data-structures/queue/queue.js

@@ -25,10 +25,3 @@ "use strict";
         }
-        if (elements) {
-            for (const el of elements) {
-                if (this.toElementFn)
-                    this.push(this.toElementFn(el));
-                else
-                    this.push(el);
-            }
-        }
+        this.pushMany(elements);
     }
@@ -119,2 +112,23 @@ /**
     /**
+     * Time Complexity: O(k)
+     * Space Complexity: O(k)
+     *
+     * The `pushMany` function iterates over elements and pushes them into an array after applying a
+     * transformation function if provided.
+     * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `pushMany` function
+     * is an iterable containing elements of type `E` or `R`.
+     * @returns The `pushMany` function is returning an array of boolean values indicating whether each
+     * element was successfully pushed into the data structure.
+     */
+    pushMany(elements) {
+        const ans = [];
+        for (const el of elements) {
+            if (this.toElementFn)
+                ans.push(this.push(this.toElementFn(el)));
+            else
+                ans.push(this.push(el));
+        }
+        return ans;
+    }
+    /**
      * Time Complexity: O(1)
@@ -137,2 +151,5 @@ * Space Complexity: O(1)
     /**
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
      * The delete function removes an element from the list.
@@ -147,2 +164,5 @@ * @param {E} element - Specify the element to be deleted
     /**
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
      * The deleteAt function deletes the element at a given index.
@@ -160,3 +180,8 @@ * @param {number} index - Determine the index of the element to be deleted
      *
-     * @param index
+     * The `at` function returns the element at a specified index adjusted by an offset, or `undefined`
+     * if the index is out of bounds.
+     * @param {number} index - The `index` parameter represents the position of the element you want to
+     * retrieve from the data structure.
+     * @returns The `at` method is returning the element at the specified index adjusted by the offset
+     * `_offset`.
      */
@@ -197,2 +222,5 @@ at(index) {
     /**
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
      * The `compact` function in TypeScript slices the elements array based on the offset and resets the
@@ -247,2 +275,16 @@ * offset to zero.
      * Space Complexity: O(n)
+     *
+     * The `map` function in TypeScript creates a new Queue by applying a callback function to each
+     * element in the original Queue.
+     * @param callback - The `callback` parameter is a function that will be applied to each element in
+     * the queue. It takes the current element, its index, and the queue itself as arguments, and returns
+     * a new element.
+     * @param [toElementFn] - The `toElementFn` parameter is an optional function that can be provided to
+     * convert a raw element of type `RM` to a new element of type `EM`. This function is used within the
+     * `map` method to transform each raw element before passing it to the `callback` function. If
+     * @param {any} [thisArg] - The `thisArg` parameter in the `map` function is used to specify the
+     * value of `this` when executing the `callback` function. It allows you to set the context (the
+     * value of `this`) within the callback function. If `thisArg` is provided, it will be
+     * @returns A new Queue object containing elements of type EM, which are the result of applying the
+     * callback function to each element in the original Queue object.
      */
@@ -249,0 +291,0 @@ map(callback, toElementFn, thisArg) {

dist/data-structures/stack/stack.d.ts

@@ -34,6 +34,2 @@ /**
      * Space Complexity: O(n)
-     */
-    /**
-     * Time Complexity: O(n)
-     * Space Complexity: O(n)
      *
@@ -47,2 +43,5 @@ * The function "fromArray" creates a new Stack object from an array of elements.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if an array is empty and returns a boolean value.
@@ -79,11 +78,29 @@ * @returns A boolean value indicating whether the `_elements` array is empty or not.
     /**
-     * The delete function removes an element from the stack.
-     * @param element: E Specify the element to be deleted
-     * @return A boolean value indicating whether the element was successfully deleted or not
+     * Time Complexity: O(k)
+     * Space Complexity: O(1)
+     *
+     * The function `pushMany` iterates over elements and pushes them into an array after applying a
+     * transformation function if provided.
+     * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `pushMany` function
+     * is an iterable containing elements of type `E` or `R`. The function iterates over each element in
+     * the iterable and pushes it into the data structure. If a transformation function `toElementFn` is
+     * provided, it is used to
+     * @returns The `pushMany` function is returning an array of boolean values indicating whether each
+     * element was successfully pushed into the data structure.
      */
+    pushMany(elements: Iterable<E> | Iterable<R>): boolean[];
+    /**
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
+     * The toArray function returns a copy of the elements in an array.
+     * @returns An array of type E.
+     */
     delete(element: E): boolean;
     /**
-     * The deleteAt function deletes the element at a given index.
-     * @param index: number Determine the index of the element to be deleted
-     * @return A boolean value
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
+     * The toArray function returns a copy of the elements in an array.
+     * @returns An array of type E.
      */
@@ -90,0 +107,0 @@ deleteAt(index: number): boolean;

dist/data-structures/stack/stack.js

@@ -17,12 +17,3 @@ "use strict";
         this._elements = [];
-        if (elements) {
-            for (const el of elements) {
-                if (this.toElementFn) {
-                    this.push(this.toElementFn(el));
-                }
-                else {
-                    this.push(el);
-                }
-            }
-        }
+        this.pushMany(elements);
     }
@@ -46,6 +37,2 @@ /**
      * Space Complexity: O(n)
-     */
-    /**
-     * Time Complexity: O(n)
-     * Space Complexity: O(n)
      *
@@ -61,2 +48,5 @@ * The function "fromArray" creates a new Stack object from an array of elements.
     /**
+     * Time Complexity: O(1)
+     * Space Complexity: O(1)
+     *
      * The function checks if an array is empty and returns a boolean value.
@@ -106,6 +96,33 @@ * @returns A boolean value indicating whether the `_elements` array is empty or not.
     /**
-     * The delete function removes an element from the stack.
-     * @param element: E Specify the element to be deleted
-     * @return A boolean value indicating whether the element was successfully deleted or not
+     * Time Complexity: O(k)
+     * Space Complexity: O(1)
+     *
+     * The function `pushMany` iterates over elements and pushes them into an array after applying a
+     * transformation function if provided.
+     * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `pushMany` function
+     * is an iterable containing elements of type `E` or `R`. The function iterates over each element in
+     * the iterable and pushes it into the data structure. If a transformation function `toElementFn` is
+     * provided, it is used to
+     * @returns The `pushMany` function is returning an array of boolean values indicating whether each
+     * element was successfully pushed into the data structure.
      */
+    pushMany(elements) {
+        const ans = [];
+        for (const el of elements) {
+            if (this.toElementFn) {
+                ans.push(this.push(this.toElementFn(el)));
+            }
+            else {
+                ans.push(this.push(el));
+            }
+        }
+        return ans;
+    }
+    /**
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
+     * The toArray function returns a copy of the elements in an array.
+     * @returns An array of type E.
+     */
     delete(element) {
@@ -116,5 +133,7 @@ const index = this.elements.indexOf(element);
     /**
-     * The deleteAt function deletes the element at a given index.
-     * @param index: number Determine the index of the element to be deleted
-     * @return A boolean value
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
+     *
+     * The toArray function returns a copy of the elements in an array.
+     * @returns An array of type E.
      */
@@ -121,0 +140,0 @@ deleteAt(index) {

dist/data-structures/trie/trie.d.ts

@@ -203,3 +203,3 @@ /**
      */
-    addMany(words?: Iterable<string> | Iterable<R>): boolean[];
+    addMany(words: Iterable<string> | Iterable<R>): boolean[];
     /**
@@ -239,5 +239,10 @@ * Time Complexity: O(l), where l is the length of the input word.
     /**
-     * Time Complexity: O(n), where n is the total number of nodes in the trie.
-     * Space Complexity: O(1) - Constant space.
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
      *
+     * The function `getHeight` calculates the height of a trie data structure starting from the root
+     * node.
+     * @returns The `getHeight` method returns the maximum depth or height of the trie tree starting from
+     * the root node. It calculates the depth using a breadth-first search (BFS) traversal of the trie
+     * tree and returns the maximum depth found.
      */
@@ -244,0 +249,0 @@ getHeight(): number;

dist/data-structures/trie/trie.js

@@ -246,3 +246,3 @@ "use strict";
      */
-    addMany(words = []) {
+    addMany(words) {
         const ans = [];
@@ -342,5 +342,10 @@ for (const word of words) {
     /**
-     * Time Complexity: O(n), where n is the total number of nodes in the trie.
-     * Space Complexity: O(1) - Constant space.
+     * Time Complexity: O(n)
+     * Space Complexity: O(1)
      *
+     * The function `getHeight` calculates the height of a trie data structure starting from the root
+     * node.
+     * @returns The `getHeight` method returns the maximum depth or height of the trie tree starting from
+     * the root node. It calculates the depth using a breadth-first search (BFS) traversal of the trie
+     * tree and returns the maximum depth found.
      */
@@ -347,0 +352,0 @@ getHeight() {

package.json

 {
   "name": "undirected-graph-typed",
-  "version": "1.53.7",
+  "version": "1.53.8",
   "description": "Undirected Graph. Javascript & Typescript Data Structure.",
@@ -148,4 +148,4 @@ "main": "dist/index.js",
   "dependencies": {
-    "data-structure-typed": "^1.53.7"
+    "data-structure-typed": "^1.53.8"
   }
 }

src/common/index.ts

@@ -0,1 +1,3 @@
+import { isComparable } from '../utils';
+
 export enum DFSOperation {
@@ -5,2 +7,3 @@ VISIT = 0,
 }
+
 export class Range<K> {
@@ -12,3 +15,6 @@ constructor(
     public includeHigh: boolean = true
-  ) {}
+  ) {
+    if (!(isComparable(low) && isComparable(high))) throw new RangeError('low or high is not comparable');
+    if (low > high) throw new RangeError('low must be less than or equal to high');
+  }
 
@@ -15,0 +21,0 @@ // Determine whether a key is within the range

src/data-structures/binary-tree/avl-tree-multi-map.ts

@@ -176,3 +176,3 @@ /**
    */
-  override keyValueNodeEntryRawToNodeAndValue(
+  protected override _keyValueNodeEntryRawToNodeAndValue(
     keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R,
@@ -221,3 +221,3 @@ value?: V,
   override add(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V, count = 1): boolean {
-    const [newNode, newValue] = this.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count);
+    const [newNode, newValue] = this._keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count);
     if (newNode === undefined) return false;
@@ -224,0 +224,0 @@

src/data-structures/binary-tree/bst.ts

@@ -98,16 +98,24 @@ /**
  * @example
- * // Find kth smallest element
- *     // Create a BST with some elements
- *     const bst = new BST<number>([5, 3, 7, 1, 4, 6, 8]);
- *     const sortedKeys = bst.dfs(node => node.key, 'IN');
+ * // Merge 3 sorted datasets
+ *     const dataset1 = new BST<number, string>([
+ *       [1, 'A'],
+ *       [7, 'G']
+ *     ]);
+ *     const dataset2 = [
+ *       [2, 'B'],
+ *       [6, 'F']
+ *     ];
+ *     const dataset3 = new BST<number, string>([
+ *       [3, 'C'],
+ *       [5, 'E'],
+ *       [4, 'D']
+ *     ]);
  *
- *     // Helper function to find kth smallest
- *     const findKthSmallest = (k: number): number | undefined => {
- *       return sortedKeys[k - 1];
- *     };
+ *     // Merge datasets into a single BinarySearchTree
+ *     const merged = new BST<number, string>(dataset1);
+ *     merged.addMany(dataset2);
+ *     merged.merge(dataset3);
  *
- *     // Assertions
- *     console.log(findKthSmallest(1)); // 1
- *     console.log(findKthSmallest(3)); // 4
- *     console.log(findKthSmallest(7)); // 8
+ *     // Verify merged dataset is in sorted order
+ *     console.log([...merged.values()]); // ['A', 'B', 'C', 'D', 'E', 'F', 'G']
  * @example
@@ -117,5 +125,5 @@ * // Find elements in a range
  *     console.log(bst.search(new Range(5, 10))); // [10, 5, 7]
- *     console.log(bst.search(new Range(4, 12))); // [10, 12, 5, 7]
+ *     console.log(bst.rangeSearch([4, 12], node => node.key.toString())); // ['10', '12', '5', '7']
  *     console.log(bst.search(new Range(4, 12, true, false))); // [10, 5, 7]
- *     console.log(bst.search(new Range(15, 20))); // [15, 18]
+ *     console.log(bst.rangeSearch([15, 20])); // [15, 18]
  *     console.log(bst.search(new Range(15, 20, false))); // [18]
@@ -126,2 +134,10 @@ * @example
  *
+ *     // LCA helper function
+ *     const findLCA = (num1: number, num2: number): number | undefined => {
+ *       const path1 = bst.getPathToRoot(num1);
+ *       const path2 = bst.getPathToRoot(num2);
+ *       // Find the first common ancestor
+ *       return findFirstCommon(path1, path2);
+ *     };
+ *
  *     function findFirstCommon(arr1: number[], arr2: number[]): number | undefined {
@@ -136,10 +152,2 @@ *       for (const num of arr1) {
  *
- *     // LCA helper function
- *     const findLCA = (num1: number, num2: number): number | undefined => {
- *       const path1 = bst.getPathToRoot(num1);
- *       const path2 = bst.getPathToRoot(num2);
- *       // Find the first common ancestor
- *       return findFirstCommon(path1, path2);
- *     };
- *
  *     // Assertions
@@ -240,7 +248,7 @@ *     console.log(findLCA(3, 10)); // 7
    */
-  override keyValueNodeEntryRawToNodeAndValue(
+  protected override _keyValueNodeEntryRawToNodeAndValue(
     keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R,
     value?: V
   ): [OptNode<NODE>, V | undefined] {
-    const [node, entryValue] = super.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value);
+    const [node, entryValue] = super._keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value);
     if (node === null) return [undefined, undefined];
@@ -307,3 +315,3 @@ return [node, value ?? entryValue];
   override add(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V): boolean {
-    const [newNode, newValue] = this.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value);
+    const [newNode, newValue] = this._keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value);
     if (newNode === undefined) return false;
@@ -620,2 +628,33 @@
    * Time Complexity: O(log n)
+   * Space Complexity: O(n)
+   *
+   * The `rangeSearch` function searches for nodes within a specified range in a binary search tree.
+   * @param {Range<K> | [K, K]} range - The `range` parameter in the `rangeSearch` function can be
+   * either a `Range` object or an array of two elements representing the range boundaries.
+   * @param {C} callback - The `callback` parameter in the `rangeSearch` function is a callback
+   * function that is used to process each node that is found within the specified range during the
+   * search operation. It is of type `NodeCallback<NODE>`, where `NODE` is the type of nodes in the
+   * data structure.
+   * @param {BTNRep<K, V, NODE> | R} startNode - The `startNode` parameter in the `rangeSearch`
+   * function represents the node from which the search for nodes within the specified range will
+   * begin. It is the starting point for the range search operation.
+   * @param {IterationType} iterationType - The `iterationType` parameter in the `rangeSearch` function
+   * is used to specify the type of iteration to be performed during the search operation. It has a
+   * default value of `this.iterationType`, which suggests that it is likely a property of the class or
+   * object that the `rangeSearch`
+   * @returns The `rangeSearch` function is returning the result of calling the `search` method with
+   * the specified parameters.
+   */
+  rangeSearch<C extends NodeCallback<NODE>>(
+    range: Range<K> | [K, K],
+    callback: C = this._DEFAULT_NODE_CALLBACK as C,
+    startNode: BTNRep<K, V, NODE> | R = this._root,
+    iterationType: IterationType = this.iterationType
+  ) {
+    const searchRange: Range<K> = range instanceof Range ? range : new Range(range[0], range[1]);
+    return this.search(searchRange, false, callback, startNode, iterationType);
+  }
+
+  /**
+   * Time Complexity: O(log n)
    * Space Complexity: O(1)
@@ -622,0 +661,0 @@ *

src/data-structures/binary-tree/index.ts

@@ -6,4 +6,4 @@ export * from './binary-tree';
 export * from './avl-tree';
-export * from './rb-tree';
+export * from './red-black-tree';
 export * from './avl-tree-multi-map';
 export * from './tree-multi-map';

src/data-structures/binary-tree/tree-multi-map.ts

@@ -20,3 +20,3 @@ /**
 import { IBinaryTree } from '../../interfaces';
-import { RedBlackTree, RedBlackTreeNode } from './rb-tree';
+import { RedBlackTree, RedBlackTreeNode } from './red-black-tree';
 
@@ -161,3 +161,3 @@ export class TreeMultiMapNode<
    */
-  override keyValueNodeEntryRawToNodeAndValue(
+  protected override _keyValueNodeEntryRawToNodeAndValue(
     keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R,
@@ -217,3 +217,3 @@ value?: V,
   override add(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V, count = 1): boolean {
-    const [newNode, newValue] = this.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count);
+    const [newNode, newValue] = this._keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count);
     const orgCount = newNode?.count || 0;
@@ -220,0 +220,0 @@ const isSuccessAdded = super.add(newNode, newValue);

src/data-structures/hash/hash-map.ts

@@ -100,2 +100,5 @@ /**
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The function checks if a given element is an array with exactly two elements.
@@ -111,2 +114,5 @@ * @param {any} rawElement - The `rawElement` parameter is of type `any`, which means it can be any
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The function checks if the size of an object is equal to zero and returns a boolean value.
@@ -120,2 +126,5 @@ * @returns A boolean value indicating whether the size of the object is 0 or not.
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The clear() function resets the state of an object by clearing its internal store, object map, and
@@ -131,2 +140,5 @@ * size.
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The `set` function adds a key-value pair to a map-like data structure, incrementing the size if
@@ -157,2 +169,5 @@ * the key is not already present.
   /**
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
+   *
    * The function `setMany` takes an iterable collection of objects, maps each object to a key-value
@@ -183,2 +198,5 @@ * pair using a mapping function, and sets each key-value pair in the current object.
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The `get` function retrieves a value from a map based on a given key, either from an object map or
@@ -201,2 +219,5 @@ * a string map.
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The `has` function checks if a given key exists in the `_objMap` or `_store` based on whether it
@@ -217,2 +238,5 @@ * is an object key or not.
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The `delete` function removes an element from a map-like data structure based on the provided key.
@@ -590,2 +614,5 @@ * @param {K} key - The `key` parameter is the key of the element that you want to delete from the
   /**
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
+   *
    * The function `setMany` takes an iterable collection, converts each element into a key-value pair
@@ -617,2 +644,5 @@ * using a provided function, and sets each key-value pair in the current object, returning an array
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The function checks if a given key exists in a map, using different logic depending on whether the
@@ -619,0 +649,0 @@ * key is a weak key or not.

src/data-structures/heap/heap.ts

@@ -210,8 +210,3 @@ /**
 
-    if (elements) {
-      for (const el of elements) {
-        if (this.toElementFn) this.add(this.toElementFn(el as R));
-        else this.add(el as E);
-      }
-    }
+    this.addMany(elements);
   }
@@ -258,7 +253,10 @@
    *
-   * Insert an element into the heap and maintain the heap properties.
-   * @param element - The element to be inserted.
+   * The add function pushes an element into an array and then triggers a bubble-up operation.
+   * @param {E} element - The `element` parameter represents the element that you want to add to the
+   * data structure.
+   * @returns The `add` method is returning a boolean value, which is the result of calling the
+   * `_bubbleUp` method with the index `this.elements.length - 1` as an argument.
    */
   add(element: E): boolean {
-    this._elements.push(element);
+    this._elements.push(element as E);
     return this._bubbleUp(this.elements.length - 1);
@@ -268,2 +266,27 @@ }
   /**
+   * Time Complexity: O(k log n)
+   * Space Complexity: O(1)
+   *
+   * The `addMany` function iterates over elements and adds them to a collection, returning an array of
+   * boolean values indicating success or failure.
+   * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `addMany` method is
+   * an iterable containing elements of type `E` or `R`. The method iterates over each element in the
+   * iterable and adds them to the data structure. If a transformation function `_toElementFn` is
+   * provided, it transforms the element
+   * @returns The `addMany` method returns an array of boolean values indicating whether each element
+   * in the input iterable was successfully added to the data structure.
+   */
+  addMany(elements: Iterable<E> | Iterable<R>): boolean[] {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this._toElementFn) {
+        ans.push(this.add(this._toElementFn(el as R)));
+        continue;
+      }
+      ans.push(this.add(el as E));
+    }
+    return ans;
+  }
+
+  /**
    * Time Complexity: O(log n)
@@ -479,3 +502,3 @@ * Space Complexity: O(1)
   /**
-   * Time Complexity: O(n log n)
+   * Time Complexity: O(n)
    * Space Complexity: O(n)
@@ -482,0 +505,0 @@ *

src/data-structures/linked-list/doubly-linked-list.ts

@@ -527,3 +527,6 @@ /**
    */
-  constructor(elements: Iterable<E> | Iterable<R> = [], options?: DoublyLinkedListOptions<E, R>) {
+  constructor(
+    elements: Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>> = [],
+    options?: DoublyLinkedListOptions<E, R>
+  ) {
     super(options);
@@ -533,9 +536,3 @@ this._head = undefined;
     this._size = 0;
-    if (elements) {
-      for (const el of elements) {
-        if (this.toElementFn) {
-          this.push(this.toElementFn(el as R));
-        } else this.push(el as E);
-      }
-    }
+    this.pushMany(elements);
   }
@@ -706,2 +703,53 @@
   /**
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
+   *
+   * The function `pushMany` iterates over elements and pushes them into a data structure, applying a
+   * transformation function if provided.
+   * @param {Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>} elements - The `elements`
+   * parameter in the `pushMany` function can accept an iterable containing elements of type `E`, `R`,
+   * or `DoublyLinkedListNode<E>`. The function iterates over each element in the iterable and pushes
+   * it onto the linked list. If a transformation function `to
+   * @returns The `pushMany` function is returning an array of boolean values (`ans`) which indicate
+   * the success or failure of pushing each element into the data structure.
+   */
+  pushMany(elements: Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>) {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this.toElementFn) {
+        ans.push(this.push(this.toElementFn(el as R)));
+        continue;
+      }
+      ans.push(this.push(el as E | DoublyLinkedListNode<E>));
+    }
+    return ans;
+  }
+
+  /**
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
+   *
+   * The function `unshiftMany` iterates through a collection of elements and adds them to the
+   * beginning of a Doubly Linked List, returning an array of boolean values indicating the success of
+   * each insertion.
+   * @param {Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>} elements - The `elements`
+   * parameter in the `unshiftMany` function can accept an iterable containing elements of type `E`,
+   * `R`, or `DoublyLinkedListNode<E>`. The function iterates over each element in the iterable and
+   * performs an `unshift` operation on the doubly linked list
+   * @returns The `unshiftMany` function returns an array of boolean values indicating the success of
+   * each unshift operation performed on the elements passed as input.
+   */
+  unshiftMany(elements: Iterable<E> | Iterable<R> | Iterable<DoublyLinkedListNode<E>>) {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this.toElementFn) {
+        ans.push(this.unshift(this.toElementFn(el as R)));
+        continue;
+      }
+      ans.push(this.unshift(el as E | DoublyLinkedListNode<E>));
+    }
+    return ans;
+  }
+
+  /**
    * Time Complexity: O(n)
@@ -1188,2 +1236,8 @@ * Space Complexity: O(1)
    *
+   * The function `countOccurrences` iterates through a doubly linked list and counts the occurrences
+   * of a specified element or nodes that satisfy a given predicate.
+   * @param {E | DoublyLinkedListNode<E> | ((node: DoublyLinkedListNode<E>) => boolean)} elementOrNode
+   * - The `elementOrNode` parameter in the `countOccurrences` method can accept three types of values:
+   * @returns The `countOccurrences` method returns the number of occurrences of the specified element,
+   * node, or predicate function in the doubly linked list.
    */
@@ -1190,0 +1244,0 @@ countOccurrences(elementOrNode: E | DoublyLinkedListNode<E> | ((node: DoublyLinkedListNode<E>) => boolean)): number {

src/data-structures/linked-list/singly-linked-list.ts

@@ -63,13 +63,8 @@ /**
 export class SinglyLinkedList<E = any, R = any> extends IterableElementBase<E, R, SinglyLinkedList<E, R>> {
-  constructor(elements: Iterable<E> | Iterable<R> = [], options?: SinglyLinkedListOptions<E, R>) {
+  constructor(
+    elements: Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>> = [],
+    options?: SinglyLinkedListOptions<E, R>
+  ) {
     super(options);
-    if (elements) {
-      for (const el of elements) {
-        if (this.toElementFn) {
-          this.push(this.toElementFn(el as R));
-        } else {
-          this.push(el as E);
-        }
-      }
-    }
+    this.pushMany(elements);
   }
@@ -216,2 +211,51 @@
   /**
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
+   *
+   * The function `pushMany` iterates over elements and pushes them into a data structure, applying a
+   * transformation function if provided.
+   * @param {Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>} elements - The `elements`
+   * parameter in the `pushMany` function can accept an iterable containing elements of type `E`, `R`,
+   * or `SinglyLinkedListNode<E>`.
+   * @returns The `pushMany` function returns an array of boolean values indicating whether each
+   * element was successfully pushed into the data structure.
+   */
+  pushMany(elements: Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>) {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this.toElementFn) {
+        ans.push(this.push(this.toElementFn(el as R)));
+        continue;
+      }
+      ans.push(this.push(el as E | SinglyLinkedListNode<E>));
+    }
+    return ans;
+  }
+
+  /**
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
+   *
+   * The function `unshiftMany` iterates over elements and adds them to a data structure, optionally
+   * converting them using a provided function.
+   * @param {Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>} elements - The `elements`
+   * parameter in the `unshiftMany` function can accept an iterable containing elements of type `E`,
+   * `R`, or `SinglyLinkedListNode<E>`. The function iterates over each element in the iterable and
+   * performs an `unshift` operation on the linked list for each
+   * @returns The `unshiftMany` function is returning an array of boolean values, where each value
+   * represents the result of calling the `unshift` method on the current instance of the class.
+   */
+  unshiftMany(elements: Iterable<E> | Iterable<R> | Iterable<SinglyLinkedListNode<E>>) {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this.toElementFn) {
+        ans.push(this.unshift(this.toElementFn(el as R)));
+        continue;
+      }
+      ans.push(this.unshift(el as E | SinglyLinkedListNode<E>));
+    }
+    return ans;
+  }
+
+  /**
    * Time Complexity: O(n)
@@ -404,2 +448,5 @@ * Space Complexity: O(1)
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The function checks if the length of a data structure is equal to zero and returns a boolean value indicating
@@ -414,2 +461,5 @@ * whether it is empty or not.
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The `clear` function resets the linked list by setting the head, tail, and length to undefined and 0 respectively.
@@ -416,0 +466,0 @@ */

src/data-structures/queue/deque.ts

@@ -56,10 +56,3 @@ /**
     this._firstInBucket = this._lastInBucket = (this._bucketSize - (_size % this._bucketSize)) >> 1;
-
-    for (const el of elements) {
-      if (this.toElementFn) {
-        this.push(this.toElementFn(el as R));
-      } else {
-        this.push(el as E);
-      }
-    }
+    this.pushMany(elements);
   }
@@ -235,2 +228,29 @@
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
+   * The `shift()` function removes and returns the first element from a data structure, updating the
+   * internal state variables accordingly.
+   * @returns The element that is being removed from the beginning of the data structure is being
+   * returned.
+   */
+  shift(): E | undefined {
+    if (this._size === 0) return;
+    const element = this._buckets[this._bucketFirst][this._firstInBucket];
+    if (this._size !== 1) {
+      if (this._firstInBucket < this._bucketSize - 1) {
+        this._firstInBucket += 1;
+      } else if (this._bucketFirst < this._bucketCount - 1) {
+        this._bucketFirst += 1;
+        this._firstInBucket = 0;
+      } else {
+        this._bucketFirst = 0;
+        this._firstInBucket = 0;
+      }
+    }
+    this._size -= 1;
+    return element;
+  }
+
+  /**
    * Time Complexity: Amortized O(1)
@@ -265,29 +285,53 @@ * Space Complexity: O(n)
   /**
-   * Time Complexity: O(1)
-   * Space Complexity: O(1)
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
    *
-   * The `shift()` function removes and returns the first element from a data structure, updating the
-   * internal state variables accordingly.
-   * @returns The element that is being removed from the beginning of the data structure is being
-   * returned.
+   * The function `pushMany` iterates over elements and pushes them into an array after applying a
+   * transformation function if provided.
+   * @param {IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>} elements - The `elements`
+   * parameter in the `pushMany` function is expected to be an iterable containing elements of type `E`
+   * or `R`. It can be either an `IterableWithSizeOrLength<E>` or an `IterableWithSizeOrLength<R>`. The
+   * function iterates over each element
+   * @returns The `pushMany` function is returning an array of boolean values, where each value
+   * represents the result of calling the `push` method on the current object instance with the
+   * corresponding element from the input `elements` iterable.
    */
-  shift(): E | undefined {
-    if (this._size === 0) return;
-    const element = this._buckets[this._bucketFirst][this._firstInBucket];
-    if (this._size !== 1) {
-      if (this._firstInBucket < this._bucketSize - 1) {
-        this._firstInBucket += 1;
-      } else if (this._bucketFirst < this._bucketCount - 1) {
-        this._bucketFirst += 1;
-        this._firstInBucket = 0;
+  pushMany(elements: IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>) {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this.toElementFn) {
+        ans.push(this.push(this.toElementFn(el as R)));
       } else {
-        this._bucketFirst = 0;
-        this._firstInBucket = 0;
+        ans.push(this.push(el as E));
       }
     }
-    this._size -= 1;
-    return element;
+    return ans;
   }
 
   /**
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
+   *
+   * The `unshiftMany` function in TypeScript iterates over elements and adds them to the beginning of
+   * an array, optionally converting them using a provided function.
+   * @param {IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R>} elements - The `elements`
+   * parameter in the `unshiftMany` function is an iterable containing elements of type `E` or `R`. It
+   * can be an array or any other iterable data structure that has a known size or length. The function
+   * iterates over each element in the `elements` iterable and
+   * @returns The `unshiftMany` function returns an array of boolean values indicating whether each
+   * element was successfully added to the beginning of the array.
+   */
+  unshiftMany(elements: IterableWithSizeOrLength<E> | IterableWithSizeOrLength<R> = []) {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this.toElementFn) {
+        ans.push(this.unshift(this.toElementFn(el as R)));
+      } else {
+        ans.push(this.unshift(el as E));
+      }
+    }
+    return ans;
+  }
+
+  /**
    * Time Complexity: O(1)
@@ -294,0 +338,0 @@ * Space Complexity: O(1)

src/data-structures/queue/queue.ts

@@ -28,8 +28,3 @@ /**
 
-    if (elements) {
-      for (const el of elements) {
-        if (this.toElementFn) this.push(this.toElementFn(el as R));
-        else this.push(el as E);
-      }
-    }
+    this.pushMany(elements);
   }
@@ -136,2 +131,22 @@
   /**
+   * Time Complexity: O(k)
+   * Space Complexity: O(k)
+   *
+   * The `pushMany` function iterates over elements and pushes them into an array after applying a
+   * transformation function if provided.
+   * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `pushMany` function
+   * is an iterable containing elements of type `E` or `R`.
+   * @returns The `pushMany` function is returning an array of boolean values indicating whether each
+   * element was successfully pushed into the data structure.
+   */
+  pushMany(elements: Iterable<E> | Iterable<R>) {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this.toElementFn) ans.push(this.push(this.toElementFn(el as R)));
+      else ans.push(this.push(el as E));
+    }
+    return ans;
+  }
+
+  /**
    * Time Complexity: O(1)
@@ -155,2 +170,5 @@ * Space Complexity: O(1)
   /**
+   * Time Complexity: O(n)
+   * Space Complexity: O(1)
+   *
    * The delete function removes an element from the list.
@@ -166,2 +184,5 @@ * @param {E} element - Specify the element to be deleted
   /**
+   * Time Complexity: O(n)
+   * Space Complexity: O(1)
+   *
    * The deleteAt function deletes the element at a given index.
@@ -180,3 +201,8 @@ * @param {number} index - Determine the index of the element to be deleted
    *
-   * @param index
+   * The `at` function returns the element at a specified index adjusted by an offset, or `undefined`
+   * if the index is out of bounds.
+   * @param {number} index - The `index` parameter represents the position of the element you want to
+   * retrieve from the data structure.
+   * @returns The `at` method is returning the element at the specified index adjusted by the offset
+   * `_offset`.
    */
@@ -221,2 +247,5 @@ at(index: number): E | undefined {
   /**
+   * Time Complexity: O(n)
+   * Space Complexity: O(1)
+   *
    * The `compact` function in TypeScript slices the elements array based on the offset and resets the
@@ -274,2 +303,16 @@ * offset to zero.
    * Space Complexity: O(n)
+   *
+   * The `map` function in TypeScript creates a new Queue by applying a callback function to each
+   * element in the original Queue.
+   * @param callback - The `callback` parameter is a function that will be applied to each element in
+   * the queue. It takes the current element, its index, and the queue itself as arguments, and returns
+   * a new element.
+   * @param [toElementFn] - The `toElementFn` parameter is an optional function that can be provided to
+   * convert a raw element of type `RM` to a new element of type `EM`. This function is used within the
+   * `map` method to transform each raw element before passing it to the `callback` function. If
+   * @param {any} [thisArg] - The `thisArg` parameter in the `map` function is used to specify the
+   * value of `this` when executing the `callback` function. It allows you to set the context (the
+   * value of `this`) within the callback function. If `thisArg` is provided, it will be
+   * @returns A new Queue object containing elements of type EM, which are the result of applying the
+   * callback function to each element in the original Queue object.
    */
@@ -276,0 +319,0 @@ map<EM, RM>(

src/data-structures/stack/stack.ts

@@ -22,11 +22,3 @@ /**
     super(options);
-    if (elements) {
-      for (const el of elements) {
-        if (this.toElementFn) {
-          this.push(this.toElementFn(el as R));
-        } else {
-          this.push(el as E);
-        }
-      }
-    }
+    this.pushMany(elements);
   }
@@ -55,7 +47,2 @@
    * Space Complexity: O(n)
-   */
-
-  /**
-   * Time Complexity: O(n)
-   * Space Complexity: O(n)
    *
@@ -72,2 +59,5 @@ * The function "fromArray" creates a new Stack object from an array of elements.
   /**
+   * Time Complexity: O(1)
+   * Space Complexity: O(1)
+   *
    * The function checks if an array is empty and returns a boolean value.
@@ -121,6 +111,33 @@ * @returns A boolean value indicating whether the `_elements` array is empty or not.
   /**
-   * The delete function removes an element from the stack.
-   * @param element: E Specify the element to be deleted
-   * @return A boolean value indicating whether the element was successfully deleted or not
+   * Time Complexity: O(k)
+   * Space Complexity: O(1)
+   *
+   * The function `pushMany` iterates over elements and pushes them into an array after applying a
+   * transformation function if provided.
+   * @param {Iterable<E> | Iterable<R>} elements - The `elements` parameter in the `pushMany` function
+   * is an iterable containing elements of type `E` or `R`. The function iterates over each element in
+   * the iterable and pushes it into the data structure. If a transformation function `toElementFn` is
+   * provided, it is used to
+   * @returns The `pushMany` function is returning an array of boolean values indicating whether each
+   * element was successfully pushed into the data structure.
    */
+  pushMany(elements: Iterable<E> | Iterable<R>) {
+    const ans: boolean[] = [];
+    for (const el of elements) {
+      if (this.toElementFn) {
+        ans.push(this.push(this.toElementFn(el as R)));
+      } else {
+        ans.push(this.push(el as E));
+      }
+    }
+    return ans;
+  }
+
+  /**
+   * Time Complexity: O(n)
+   * Space Complexity: O(1)
+   *
+   * The toArray function returns a copy of the elements in an array.
+   * @returns An array of type E.
+   */
   delete(element: E): boolean {
@@ -132,5 +149,7 @@ const index = this.elements.indexOf(element);
   /**
-   * The deleteAt function deletes the element at a given index.
-   * @param index: number Determine the index of the element to be deleted
-   * @return A boolean value
+   * Time Complexity: O(n)
+   * Space Complexity: O(1)
+   *
+   * The toArray function returns a copy of the elements in an array.
+   * @returns An array of type E.
    */
@@ -137,0 +156,0 @@ deleteAt(index: number): boolean {

src/data-structures/trie/trie.ts

@@ -271,3 +271,3 @@ /**
    */
-  addMany(words: Iterable<string> | Iterable<R> = []): boolean[] {
+  addMany(words: Iterable<string> | Iterable<R>): boolean[] {
     const ans: boolean[] = [];
@@ -370,5 +370,10 @@ for (const word of words) {
   /**
-   * Time Complexity: O(n), where n is the total number of nodes in the trie.
-   * Space Complexity: O(1) - Constant space.
+   * Time Complexity: O(n)
+   * Space Complexity: O(1)
    *
+   * The function `getHeight` calculates the height of a trie data structure starting from the root
+   * node.
+   * @returns The `getHeight` method returns the maximum depth or height of the trie tree starting from
+   * the root node. It calculates the depth using a breadth-first search (BFS) traversal of the trie
+   * tree and returns the maximum depth found.
    */
@@ -375,0 +380,0 @@ getHeight(): number {

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• Updateddata-structure-typed@^1.53.8