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Heap. Javascript & Typescript Data Structure.

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/** * data-structure-typed * * @author Pablo Zeng * @copyright Copyright (c) 2022 Pablo Zeng <zrwusa@gmail.com> * @license MIT License */ import type { AVLTreeMultiMapNested, AVLTreeMultiMapNodeNested, AVLTreeMultiMapOptions, BinaryTreeDeleteResult, BSTNOptKeyOrNode, BTNRep, IterationType } from '../../types'; import { IBinaryTree } from '../../interfaces'; import { AVLTree, AVLTreeNode } from './avl-tree'; export class AVLTreeMultiMapNode< K = any, V = any, NODE extends AVLTreeMultiMapNode<K, V, NODE> = AVLTreeMultiMapNodeNested<K, V> > extends AVLTreeNode<K, V, NODE> { /** * The constructor function initializes a BinaryTreeNode object with a key, value, and count. * @param {K} key - The `key` parameter is of type `K` and represents the unique identifier * of the binary tree node. * @param {V} [value] - The `value` parameter is an optional parameter of type `V`. It represents the value of the binary * tree node. If no value is provided, it will be `undefined`. * @param {number} [count=1] - The `count` parameter is a number that represents the number of times a particular value * occurs in a binary tree node. It has a default value of 1, which means that if no value is provided for the `count` * parameter when creating a new instance of the `BinaryTreeNode` class. */ constructor(key: K, value?: V, count = 1) { super(key, value); this.count = count; } protected _count: number = 1; /** * The function returns the value of the protected variable _count. * @returns The count property of the object, which is of type number. */ get count(): number { return this._count; } /** * The above function sets the value of the count property. * @param {number} value - The value parameter is of type number, which means it can accept any * numeric value. */ set count(value: number) { this._count = value; } } /** * The only distinction between a AVLTreeMultiMap and a AVLTree lies in the ability of the former to store duplicate nodes through the utilization of counters. */ export class AVLTreeMultiMap< K = any, V = any, R = object, NODE extends AVLTreeMultiMapNode<K, V, NODE> = AVLTreeMultiMapNode<K, V, AVLTreeMultiMapNodeNested<K, V>>, TREE extends AVLTreeMultiMap<K, V, R, NODE, TREE> = AVLTreeMultiMap< K, V, R, NODE, AVLTreeMultiMapNested<K, V, R, NODE> > > extends AVLTree<K, V, R, NODE, TREE> implements IBinaryTree<K, V, R, NODE, TREE> { /** * The constructor initializes a new AVLTreeMultiMap object with optional initial elements. * @param keysNodesEntriesOrRaws - The `keysNodesEntriesOrRaws` parameter is an * iterable object that can contain either keys, nodes, entries, or raw elements. * @param [options] - The `options` parameter is an optional object that can be used to customize the * behavior of the AVLTreeMultiMap. It can include properties such as `compareKeys` and * `compareValues` functions to define custom comparison logic for keys and values, respectively. */ constructor( keysNodesEntriesOrRaws: Iterable<R | BTNRep<K, V, NODE>> = [], options?: AVLTreeMultiMapOptions<K, V, R> ) { super([], options); if (keysNodesEntriesOrRaws) this.addMany(keysNodesEntriesOrRaws); } protected _count = 0; /** * The function calculates the sum of the count property of all nodes in a tree using depth-first * search. * @returns the sum of the count property of all nodes in the tree. */ get count(): number { return this._count; } /** * Time Complexity: O(n) * Space Complexity: O(1) * * The function calculates the sum of the count property of all nodes in a tree using depth-first * search. * @returns the sum of the count property of all nodes in the tree. */ getComputedCount(): number { let sum = 0; this.dfs(node => (sum += node.count)); return sum; } /** * The function creates a new AVLTreeMultiMapNode with the specified key, value, and count. * @param {K} key - The key parameter represents the key of the node being created. It is of type K, * which is a generic type that can be replaced with any specific type when using the function. * @param {V} [value] - The `value` parameter is an optional parameter that represents the value * associated with the key in the node. It is of type `V`, which can be any data type. * @param {number} [count] - The `count` parameter represents the number of occurrences of a * key-value pair in the AVLTreeMultiMapNode. It is an optional parameter, so it can be omitted when * calling the `createNode` method. If provided, it specifies the initial count for the node. * @returns a new instance of the AVLTreeMultiMapNode class, casted as NODE. */ override createNode(key: K, value?: V, count?: number): NODE { return new AVLTreeMultiMapNode(key, value, count) as NODE; } /** * The function creates a new AVLTreeMultiMap object with the specified options and returns it. * @param [options] - The `options` parameter is an optional object that contains additional * configuration options for creating the AVLTreeMultiMap. It can have the following properties: * @returns a new instance of the AVLTreeMultiMap class, with the specified options, as a TREE * object. */ override createTree(options?: AVLTreeMultiMapOptions<K, V, R>): TREE { return new AVLTreeMultiMap<K, V, R, NODE, TREE>([], { iterationType: this.iterationType, isMapMode: this._isMapMode, comparator: this._comparator, toEntryFn: this._toEntryFn, ...options }) as TREE; } /** * The function checks if the input is an instance of AVLTreeMultiMapNode. * @param {BTNRep<K, V, NODE> | R} keyNodeEntryOrRaw - The parameter * `keyNodeEntryOrRaw` can be of type `R` or `BTNRep<K, V, NODE>`. * @returns a boolean value indicating whether the input parameter `keyNodeEntryOrRaw` is * an instance of the `AVLTreeMultiMapNode` class. */ override isNode(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R): keyNodeEntryOrRaw is NODE { return keyNodeEntryOrRaw instanceof AVLTreeMultiMapNode; } /** * The function `keyValueNodeEntryRawToNodeAndValue` converts a key, value, entry, or raw element into * a node object. * @param {BTNRep<K, V, NODE> | R} keyNodeEntryOrRaw - The * `keyNodeEntryOrRaw` parameter can be of type `R` or `BTNRep<K, V, NODE>`. * @param {V} [value] - The `value` parameter is an optional value that can be passed to the * `override` function. It represents the value associated with the key in the data structure. If no * value is provided, it will default to `undefined`. * @param [count=1] - The `count` parameter is an optional parameter that specifies the number of * times the key-value pair should be added to the data structure. If not provided, it defaults to 1. * @returns either a NODE object or undefined. */ override keyValueNodeEntryRawToNodeAndValue( keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V, count = 1 ): [NODE | undefined, V | undefined] { if (keyNodeEntryOrRaw === undefined || keyNodeEntryOrRaw === null) return [undefined, undefined]; if (this.isNode(keyNodeEntryOrRaw)) return [keyNodeEntryOrRaw, value]; if (this.isEntry(keyNodeEntryOrRaw)) { const [key, entryValue] = keyNodeEntryOrRaw; if (key === undefined || key === null) return [undefined, undefined]; const finalValue = value ?? entryValue; return [this.createNode(key, finalValue, count), finalValue]; } if (this.isKey(keyNodeEntryOrRaw)) return [this.createNode(keyNodeEntryOrRaw, value, count), value]; if (this.isRaw(keyNodeEntryOrRaw)) { if (this._toEntryFn) { const [key, entryValue] = this._toEntryFn(keyNodeEntryOrRaw as R); const finalValue = value ?? entryValue; if (this.isKey(key)) return [this.createNode(key, finalValue, count), finalValue]; } return [undefined, undefined]; } return [undefined, undefined]; } /** * Time Complexity: O(log n) * Space Complexity: O(1) * * The function overrides the add method of a TypeScript class to add a new node to a data structure * and update the count. * @param {BTNRep<K, V, NODE> | R} keyNodeEntryOrRaw - The * `keyNodeEntryOrRaw` parameter can accept a value of type `R`, which can be any type. It * can also accept a value of type `BTNRep<K, V, NODE>`, which represents a key, node, * entry, or raw element * @param {V} [value] - The `value` parameter represents the value associated with the key in the * data structure. It is an optional parameter, so it can be omitted if not needed. * @param [count=1] - The `count` parameter represents the number of times the key-value pair should * be added to the data structure. By default, it is set to 1, meaning that the key-value pair will * be added once. However, you can specify a different value for `count` if you want to add * @returns a boolean value. */ override add(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, value?: V, count = 1): boolean { const [newNode, newValue] = this.keyValueNodeEntryRawToNodeAndValue(keyNodeEntryOrRaw, value, count); if (newNode === undefined) return false; const orgNodeCount = newNode?.count || 0; const inserted = super.add(newNode, newValue); if (inserted) { this._count += orgNodeCount; } return true; } /** * Time Complexity: O(log n) * Space Complexity: O(1) * * The function overrides the delete method in a binary tree data structure, handling deletion of * nodes and maintaining balance in the tree. * @param {BTNRep<K, V, NODE> | R} keyNodeEntryOrRaw - The `predicate` * parameter in the `delete` method is used to specify the condition for deleting a node from the * binary tree. It can be a key, node, or entry that determines which * node(s) should be deleted. * @param [ignoreCount=false] - The `ignoreCount` parameter in the `override delete` method is a * boolean flag that determines whether to ignore the count of the node being deleted. If * `ignoreCount` is set to `true`, the method will delete the node regardless of its count. If * `ignoreCount` is set to * @returns The `delete` method overrides the default delete behavior in a binary tree data * structure. It takes a predicate or node to be deleted and an optional flag to ignore count. The * method returns an array of `BinaryTreeDeleteResult` objects, each containing information about the * deleted node and whether balancing is needed in the tree. */ override delete(keyNodeEntryOrRaw: BTNRep<K, V, NODE> | R, ignoreCount = false): BinaryTreeDeleteResult<NODE>[] { const deletedResult: BinaryTreeDeleteResult<NODE>[] = []; if (!this.root) return deletedResult; const curr: NODE | undefined = this.getNode(keyNodeEntryOrRaw) ?? undefined; if (!curr) return deletedResult; const parent: NODE | undefined = curr?.parent ? curr.parent : undefined; let needBalanced: NODE | undefined = undefined, orgCurrent: NODE | undefined = curr; if (curr.count > 1 && !ignoreCount) { curr.count--; this._count--; } else { if (!curr.left) { if (!parent) { if (curr.right !== undefined) this._setRoot(curr.right); } else { const { familyPosition: fp } = curr; if (fp === 'LEFT' || fp === 'ROOT_LEFT') { parent.left = curr.right; } else if (fp === 'RIGHT' || fp === 'ROOT_RIGHT') { parent.right = curr.right; } needBalanced = parent; } } else { const leftSubTreeRightMost = curr.left ? this.getRightMost(node => node, curr.left) : undefined; if (leftSubTreeRightMost) { const parentOfLeftSubTreeMax = leftSubTreeRightMost.parent; orgCurrent = this._swapProperties(curr, leftSubTreeRightMost); if (parentOfLeftSubTreeMax) { if (parentOfLeftSubTreeMax.right === leftSubTreeRightMost) { parentOfLeftSubTreeMax.right = leftSubTreeRightMost.left; } else { parentOfLeftSubTreeMax.left = leftSubTreeRightMost.left; } needBalanced = parentOfLeftSubTreeMax; } } } this._size = this._size - 1; // TODO How to handle when the count of target node is lesser than current node's count if (orgCurrent) this._count -= orgCurrent.count; } deletedResult.push({ deleted: orgCurrent, needBalanced }); if (needBalanced) { this._balancePath(needBalanced); } return deletedResult; } /** * Time Complexity: O(1) * Space Complexity: O(1) * * The "clear" function overrides the parent class's "clear" function and also resets the count to * zero. */ override clear() { super.clear(); this._count = 0; } /** * Time Complexity: O(n log n) * Space Complexity: O(log n) * The `perfectlyBalance` function takes a sorted array of nodes and builds a balanced binary search * tree using either a recursive or iterative approach. * @param {IterationType} iterationType - The `iterationType` parameter is an optional parameter that * specifies the type of iteration to use when building the balanced binary search tree. It has a * default value of `this.iterationType`, which means it will use the iteration type currently set in * the object. * @returns The function `perfectlyBalance` returns a boolean value. It returns `true` if the * balancing operation is successful, and `false` if there are no nodes to balance. */ override perfectlyBalance(iterationType: IterationType = this.iterationType): boolean { const sorted = this.dfs(node => node, 'IN'), n = sorted.length; if (sorted.length < 1) return false; this.clear(); if (iterationType === 'RECURSIVE') { const buildBalanceBST = (l: number, r: number) => { if (l > r) return; const m = l + Math.floor((r - l) / 2); const midNode = sorted[m]; if (this._isMapMode) this.add(midNode.key, undefined, midNode.count); else this.add(midNode.key, midNode.value, midNode.count); buildBalanceBST(l, m - 1); buildBalanceBST(m + 1, r); }; buildBalanceBST(0, n - 1); return true; } else { const stack: [[number, number]] = [[0, n - 1]]; while (stack.length > 0) { const popped = stack.pop(); if (popped) { const [l, r] = popped; if (l <= r) { const m = l + Math.floor((r - l) / 2); const midNode = sorted[m]; if (this._isMapMode) this.add(midNode.key, undefined, midNode.count); else this.add(midNode.key, midNode.value, midNode.count); stack.push([m + 1, r]); stack.push([l, m - 1]); } } } return true; } } /** * Time complexity: O(n) * Space complexity: O(n) * * The function overrides the clone method to create a deep copy of a tree object. * @returns The `clone()` method is returning a cloned instance of the `TREE` object. */ override clone(): TREE { const cloned = this.createTree(); if (this._isMapMode) this.bfs(node => cloned.add(node.key, undefined, node.count)); else this.bfs(node => cloned.add(node.key, node.value, node.count)); if (this._isMapMode) cloned._store = this._store; return cloned; } /** * Time Complexity: O(1) * Space Complexity: O(1) * * The `_swapProperties` function swaps the properties (key, value, count, height) between two nodes * in a binary search tree. * @param {R | BSTNOptKeyOrNode<K, NODE>} srcNode - The `srcNode` parameter represents the source node * that will be swapped with the `destNode`. * @param {R | BSTNOptKeyOrNode<K, NODE>} destNode - The `destNode` parameter represents the destination * node where the properties will be swapped with the source node. * @returns The method is returning the `destNode` after swapping its properties with the `srcNode`. * If either `srcNode` or `destNode` is undefined, it returns `undefined`. */ protected override _swapProperties( srcNode: R | BSTNOptKeyOrNode<K, NODE>, destNode: R | BSTNOptKeyOrNode<K, NODE> ): NODE | undefined { srcNode = this.ensureNode(srcNode); destNode = this.ensureNode(destNode); if (srcNode && destNode) { const { key, value, count, height } = destNode; const tempNode = this.createNode(key, value, count); if (tempNode) { tempNode.height = height; destNode.key = srcNode.key; if (!this._isMapMode) destNode.value = srcNode.value; destNode.count = srcNode.count; destNode.height = srcNode.height; srcNode.key = tempNode.key; if (!this._isMapMode) srcNode.value = tempNode.value; srcNode.count = tempNode.count; srcNode.height = tempNode.height; } return destNode; } return undefined; } /** * Time Complexity: O(1) * Space Complexity: O(1) * * The function replaces an old node with a new node and updates the count property of the new node. * @param {NODE} oldNode - The oldNode parameter represents the node that needs to be replaced in the * data structure. It is of type NODE. * @param {NODE} newNode - The `newNode` parameter is an instance of the `NODE` class. * @returns The method is returning the result of calling the `_replaceNode` method from the * superclass, which is of type `NODE`. */ protected override _replaceNode(oldNode: NODE, newNode: NODE): NODE { newNode.count = oldNode.count + newNode.count; return super._replaceNode(oldNode, newNode); } }