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feat: The leaves method of the binary tree supports both RECURSIVE and ITERATIVE modes.
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@ -1612,24 +1612,56 @@ export class BinaryTree<
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* Time complexity: O(n)
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* Space complexity: O(n)
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*
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* The `leaves` function collects and returns the leaves of a binary tree using a specified callback.
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* @param {C} callback - The `callback` parameter is a function that will be called for each node in
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* the tree. It is a generic type `C` that extends `BTNCallback<NODE | null>`, where `NODE` is the
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* type of nodes in the tree. The default value for `callback` is `
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* The `leaves` function in TypeScript iterates through a binary tree to find and return the leaf
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* nodes based on a specified callback and iteration type.
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* @param {C} callback - The `callback` parameter is a function that will be called on each leaf node
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* in the binary tree. It is a generic type `C` that extends `BTNCallback<NODE | null>`, where `NODE`
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* represents a node in the binary tree. The default value for `callback` is
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* @param {R | BTNKeyOrNodeOrEntry<K, V, NODE>} beginRoot - The `beginRoot` parameter in the `leaves`
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* method is used to specify the starting point for collecting leaves in a binary tree. It can be
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* either a root node of the tree or a key-value pair or an entry that will be converted to a node.
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* If not provided, the default
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* @returns The `leaves` method is returning an array of values that are the return type of the
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* callback function provided as an argument.
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* method is used to specify the starting point for finding and processing the leaves of a binary
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* tree. It represents the root node of the binary tree or a specific key, node, or entry within the
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* tree from which the search for leaves should begin
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* @param {IterationType} iterationType - The `iterationType` parameter in the `leaves` method
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* specifies the type of iteration to be performed when collecting the leaves of a binary tree. It
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* can have two possible values:
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* @returns The `leaves` method returns an array of values that are the result of applying the
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* provided callback function to the leaf nodes in the binary tree structure.
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*/
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leaves<C extends BTNCallback<NODE | null>>(
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callback: C = this._DEFAULT_CALLBACK as C,
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beginRoot: R | BTNKeyOrNodeOrEntry<K, V, NODE> = this.root
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beginRoot: R | BTNKeyOrNodeOrEntry<K, V, NODE> = this.root,
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iterationType: IterationType = this.iterationType
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): ReturnType<C>[] {
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beginRoot = this.ensureNode(beginRoot);
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const leaves: ReturnType<BTNCallback<NODE>> = [];
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this._collectLeaves(callback, beginRoot, leaves);
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const leaves: ReturnType<BTNCallback<NODE>>[] = [];
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if (!this.isRealNode(beginRoot)) {
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return [];
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}
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if (iterationType === 'RECURSIVE') {
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const dfs = (cur: NODE) => {
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if (this.isLeaf(cur)) {
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leaves.push(callback(cur));
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}
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if (!this.isRealNode(cur.left) && !this.isRealNode(cur.right)) return;
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this.isRealNode(cur.left) && dfs(cur.left);
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this.isRealNode(cur.right) && dfs(cur.right);
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};
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dfs(beginRoot);
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} else {
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const queue = new Queue([beginRoot]);
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while (queue.size > 0) {
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const cur = queue.shift();
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if (this.isRealNode(cur)) {
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if (this.isLeaf(cur)) {
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leaves.push(callback(cur));
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}
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this.isRealNode(cur.left) && queue.push(cur.left);
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this.isRealNode(cur.right) && queue.push(cur.right);
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}
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}
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}
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return leaves;
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}
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@ -2236,48 +2268,4 @@ export class BinaryTree<
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return callback;
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}
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/**
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* Time complexity: O(n)
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* Space complexity: O(n)
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*/
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/**
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* Time complexity: O(n)
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* Space complexity: O(n)
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*
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* The function `_collectLeaves` recursively collects leaf nodes in a binary tree using a specified
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* callback function.
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* @param {C} callback - The `callback` parameter in the `_collectLeaves` method is a function that
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* takes a node (of type `NODE` or `null`) as an argument and returns a value. It is a generic type
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* `C` that extends the `BTNCallback` type. The default value for `
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* @param node - The `node` parameter in the `_collectLeaves` method represents a binary tree node.
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* It can either be a valid node of type `NODE` or `null`. The method checks if the node is a leaf
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* node (i.e., it has no left or right children) and collects the
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* @param {ReturnType<BTNCallback<NODE>>[]} leaves - The `leaves` parameter in the `_collectLeaves`
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* method is an array that stores the return values of the callback function for each leaf node
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* encountered during the traversal of the binary tree. It accumulates these values as leaf nodes are
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* visited in the tree.
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* @returns In the provided code snippet, the method `_collectLeaves` is a recursive function that
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* collects leaf nodes in a binary tree. The function takes a callback function `callback`, a node
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* `node`, and an array `leaves` as parameters.
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*/
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protected _collectLeaves<C extends BTNCallback<NODE | null>>(
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callback: C = this._DEFAULT_CALLBACK as C,
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node: OptBTNOrNull<NODE>,
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leaves: ReturnType<BTNCallback<NODE>>[]
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): void {
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if (!this.isRealNode(node)) {
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return;
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}
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// If both left and right are NIL, it's a leaf node
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if (this.isLeaf(node)) {
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leaves.push(callback(node));
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}
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// Recurse for both left and right children
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this._collectLeaves(callback, node.left, leaves);
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this._collectLeaves(callback, node.right, leaves);
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}
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}
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@ -1100,7 +1100,7 @@ describe('BST iterative methods test', () => {
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true
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);
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expect(balanced.leaves()).toEqual([1, 4, 6, 9]);
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expect(balanced.leaves(node => node?.value)).toEqual(['a', 'd', 'f', 'i']);
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expect(balanced.leaves()).toEqual([1, 6, 4, 9]);
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expect(balanced.leaves(node => node?.value)).toEqual(['a', 'f', 'd', 'i']);
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});
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});
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@ -785,7 +785,7 @@ describe('RedBlackTree - _deleteFixup', () => {
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expect(tree.root?.left?.left?.key).toBe(5);
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expect(tree.root?.left?.right?.color).toBe('BLACK');
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expect(tree.root?.left?.right?.key).toBe(15);
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expect(tree.leaves(node => (node === null ? '' : `${node.key} ${node.color}`))).toEqual([
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expect(tree.leaves(node => (node === null ? '' : `${node.key} ${node.color}`), tree.root, 'RECURSIVE')).toEqual([
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'8 RED',
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'15 BLACK',
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'25 RED',
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