doubly-linked-list-typed
Version:
Doubly Linked List
445 lines (444 loc) • 21.3 kB
JavaScript
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.TreeCounter = exports.TreeCounterNode = void 0;
const red_black_tree_1 = require("./red-black-tree");
class TreeCounterNode extends red_black_tree_1.RedBlackTreeNode {
/**
* The constructor function initializes a Red-Black Tree node with a key, value, count, and color.
* @param {K} key - The key parameter represents the key of the node in the Red-Black Tree. It is
* used to identify and locate the node within the tree.
* @param {V} [value] - The `value` parameter is an optional parameter that represents the value
* associated with the key in the Red-Black Tree node. It is not required and can be omitted when
* creating a new node.
* @param [count=1] - The `count` parameter represents the number of occurrences of a particular key
* in the Red-Black Tree. It is an optional parameter with a default value of 1.
* @param {RBTNColor} [color=BLACK] - The `color` parameter is used to specify the color of the node
* in a Red-Black Tree. It is optional and has a default value of `'BLACK'`.
*/
constructor(key, value, count = 1, color = 'BLACK') {
super(key, value, color);
this.parent = undefined;
this._left = undefined;
this._right = undefined;
this.count = count;
}
get left() {
return this._left;
}
set left(v) {
if (v) {
v.parent = this;
}
this._left = v;
}
get right() {
return this._right;
}
set right(v) {
if (v) {
v.parent = this;
}
this._right = v;
}
}
exports.TreeCounterNode = TreeCounterNode;
/**
*
*/
class TreeCounter extends red_black_tree_1.RedBlackTree {
/**
* The constructor function initializes a TreeCounter object with optional initial data.
* @param keysNodesEntriesOrRaws - The parameter `keysNodesEntriesOrRaws` is an
* iterable that can contain keys, nodes, entries, or raw elements. It is used to initialize the
* TreeCounter with initial data.
* @param [options] - The `options` parameter is an optional object that can be used to customize the
* behavior of the `TreeCounter` constructor. It can include properties such as `compareKeys` and
* `compareValues`, which are functions used to compare keys and values respectively.
*/
constructor(keysNodesEntriesOrRaws = [], options) {
super([], options);
this._count = 0;
if (keysNodesEntriesOrRaws)
this.addMany(keysNodesEntriesOrRaws);
}
// TODO the _count is not accurate after nodes count modified
/**
* The function calculates the sum of the count property of all nodes in a tree structure.
* @returns the sum of the count property of all nodes in the tree.
*/
get count() {
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() {
let sum = 0;
this.dfs(node => (sum += node ? node.count : 0));
return sum;
}
/**
* The function creates a new TreeCounterNode with the specified key, value, color, 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 representing the type of keys in the tree.
* @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 {RBTNColor} [color=BLACK] - The color parameter is used to specify the color of the node in
* a Red-Black Tree. It can have two possible values: 'RED' or 'BLACK'. The default value is 'BLACK'.
* @param {number} [count] - The `count` parameter represents the number of occurrences of a key in
* the tree. It is an optional parameter and is used to keep track of the number of values associated
* with a key in the tree.
* @returns A new instance of the TreeCounterNode class, casted as TreeCounterNode<K, V>.
*/
createNode(key, value, color = 'BLACK', count) {
return new TreeCounterNode(key, this._isMapMode ? undefined : value, count, color);
}
/**
* The function creates a new instance of a TreeCounter with the specified options and returns it.
* @param [options] - The `options` parameter is an optional object that contains additional
* configuration options for creating the `TreeCounter`. It is of type `TreeCounterOptions<K, V,
* R>`.
* @returns a new instance of the `TreeCounter` class, with the provided options merged with the
* existing `iterationType` property. The returned value is casted as `TREE`.
*/
createTree(options) {
return new TreeCounter([], Object.assign({ iterationType: this.iterationType, specifyComparable: this._specifyComparable, isMapMode: this._isMapMode, toEntryFn: this._toEntryFn }, options));
}
/**
* The function checks if the input is an instance of the TreeCounterNode class.
* @param {K | TreeCounterNode<K, V> | [K | null | undefined, V | undefined] | null | undefined} keyNodeOrEntry - The parameter
* `keyNodeOrEntry` can be of type `R` or `K | TreeCounterNode<K, V> | [K | null | undefined, V | undefined] | null | undefined`.
* @returns a boolean value indicating whether the input parameter `keyNodeOrEntry` is
* an instance of the `TreeCounterNode` class.
*/
isNode(keyNodeOrEntry) {
return keyNodeOrEntry instanceof TreeCounterNode;
}
/**
* Time Complexity: O(log n)
* Space Complexity: O(1)
*
* The function overrides the add method of a class and adds a new node to a data structure, updating
* the count and returning a boolean indicating success.
* @param {K | TreeCounterNode<K, V> | [K | null | undefined, V | undefined] | null | undefined} keyNodeOrEntry - The
* `keyNodeOrEntry` parameter can accept one of the following types:
* @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 if no value is provided
* for `count`, the key-value pair will be added once.
* @returns The method is returning a boolean value. It returns true if the addition of the new node
* was successful, and false otherwise.
*/
add(keyNodeOrEntry, value, count = 1) {
const [newNode, newValue] = this._keyValueNodeOrEntryToNodeAndValue(keyNodeOrEntry, value, count);
const orgCount = (newNode === null || newNode === void 0 ? void 0 : newNode.count) || 0;
const isSuccessAdded = super.add(newNode, newValue);
if (isSuccessAdded) {
this._count += orgCount;
return true;
}
else {
return false;
}
}
/**
* Time Complexity: O(log n)
* Space Complexity: O(1)
*
* The function `delete` in TypeScript overrides the deletion operation in a binary tree data
* structure, handling cases where nodes have children and maintaining balance in the tree.
* @param {K | TreeCounterNode<K, V> | [K | null | undefined, V | undefined] | null | undefined} keyNodeOrEntry - The `predicate`
* parameter in the `delete` method is used to specify the condition or key based on which a node
* should be deleted from the binary tree. It can be a key, a node, or an entry.
* @param [ignoreCount=false] - The `ignoreCount` parameter in the `override delete` method is a
* boolean flag that determines whether to ignore the count of nodes when performing deletion. If
* `ignoreCount` is set to `true`, the method will delete the node regardless of its count. If
* `ignoreCount` is `false
* @returns The `override delete` method returns an array of `BinaryTreeDeleteResult<TreeCounterNode<K, V>>` objects.
*/
delete(keyNodeOrEntry, ignoreCount = false) {
if (keyNodeOrEntry === null)
return [];
const results = [];
let nodeToDelete;
if (this._isPredicate(keyNodeOrEntry))
nodeToDelete = this.getNode(keyNodeOrEntry);
else
nodeToDelete = this.isRealNode(keyNodeOrEntry) ? keyNodeOrEntry : this.getNode(keyNodeOrEntry);
if (!nodeToDelete) {
return results;
}
let originalColor = nodeToDelete.color;
let replacementNode;
if (!this.isRealNode(nodeToDelete.left)) {
if (nodeToDelete.right !== null)
replacementNode = nodeToDelete.right;
if (ignoreCount || nodeToDelete.count <= 1) {
if (nodeToDelete.right !== null) {
this._transplant(nodeToDelete, nodeToDelete.right);
this._count -= nodeToDelete.count;
}
}
else {
nodeToDelete.count--;
this._count--;
results.push({ deleted: nodeToDelete, needBalanced: undefined });
return results;
}
}
else if (!this.isRealNode(nodeToDelete.right)) {
replacementNode = nodeToDelete.left;
if (ignoreCount || nodeToDelete.count <= 1) {
this._transplant(nodeToDelete, nodeToDelete.left);
this._count -= nodeToDelete.count;
}
else {
nodeToDelete.count--;
this._count--;
results.push({ deleted: nodeToDelete, needBalanced: undefined });
return results;
}
}
else {
const successor = this.getLeftMost(node => node, nodeToDelete.right);
if (successor) {
originalColor = successor.color;
if (successor.right !== null)
replacementNode = successor.right;
if (successor.parent === nodeToDelete) {
if (this.isRealNode(replacementNode)) {
replacementNode.parent = successor;
}
}
else {
if (ignoreCount || nodeToDelete.count <= 1) {
if (successor.right !== null) {
this._transplant(successor, successor.right);
this._count -= nodeToDelete.count;
}
}
else {
nodeToDelete.count--;
this._count--;
results.push({ deleted: nodeToDelete, needBalanced: undefined });
return results;
}
successor.right = nodeToDelete.right;
if (this.isRealNode(successor.right)) {
successor.right.parent = successor;
}
}
if (ignoreCount || nodeToDelete.count <= 1) {
this._transplant(nodeToDelete, successor);
this._count -= nodeToDelete.count;
}
else {
nodeToDelete.count--;
this._count--;
results.push({ deleted: nodeToDelete, needBalanced: undefined });
return results;
}
successor.left = nodeToDelete.left;
if (this.isRealNode(successor.left)) {
successor.left.parent = successor;
}
successor.color = nodeToDelete.color;
}
}
this._size--;
// If the original color was black, fix the tree
if (originalColor === 'BLACK') {
this._deleteFixup(replacementNode);
}
results.push({ deleted: nodeToDelete, needBalanced: undefined });
return results;
}
/**
* 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.
*/
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 specified by the
* `iterationType` property of the current 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.
*/
perfectlyBalance(iterationType = this.iterationType) {
const sorted = this.dfs(node => node, 'IN'), n = sorted.length;
if (sorted.length < 1)
return false;
this.clear();
if (iterationType === 'RECURSIVE') {
const buildBalanceBST = (l, r) => {
if (l > r)
return;
const m = l + Math.floor((r - l) / 2);
const midNode = sorted[m];
if (this._isMapMode && midNode !== null)
this.add(midNode.key, undefined, midNode.count);
else if (midNode !== null)
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 = [[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 && midNode !== null)
this.add(midNode.key, undefined, midNode.count);
else if (midNode !== null)
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.
*/
clone() {
const cloned = this.createTree();
this.bfs(node => cloned.add(node === null ? null : node.key, undefined, node === null ? 0 : node.count));
if (this._isMapMode)
cloned._store = this._store;
return cloned;
}
/**
* The `map` function in TypeScript overrides the default behavior to create a new TreeCounter with
* modified entries based on a provided callback.
* @param callback - The `callback` parameter is a function that will be called for each entry in the
* map. It takes four arguments:
* @param [options] - The `options` parameter in the `override map` function is of type
* `TreeCounterOptions<MK, MV, MR>`. This parameter allows you to provide additional configuration
* options when creating a new `TreeCounter` instance within the `map` function. These options could
* include things like
* @param {any} [thisArg] - The `thisArg` parameter in the `override map` function is used to specify
* the value of `this` when executing the `callback` function. It allows you to set the context
* (value of `this`) for the callback function when it is called within the `map` function. This
* @returns A new TreeCounter instance is being returned, which is populated with entries generated
* by the provided callback function.
*/
map(callback, options, thisArg) {
const newTree = new TreeCounter([], options);
let index = 0;
for (const [key, value] of this) {
newTree.add(callback.call(thisArg, key, value, index++, this));
}
return newTree;
}
/**
* The function `keyValueNodeEntryRawToNodeAndValue` takes in a key, value, and count and returns a
* node based on the input.
* @param {K | TreeCounterNode<K, V> | [K | null | undefined, V | undefined] | null | undefined} keyNodeOrEntry - The parameter
* `keyNodeOrEntry` can be of type `R` or `K | TreeCounterNode<K, V> | [K | null | undefined, V | undefined] | null | undefined`.
* @param {V} [value] - The `value` parameter is an optional value that represents the value
* associated with the key in the node. It is used when creating a new node or updating the value of
* an existing node.
* @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 TreeCounterNode<K, V> object or undefined.
*/
_keyValueNodeOrEntryToNodeAndValue(keyNodeOrEntry, value, count = 1) {
if (keyNodeOrEntry === undefined || keyNodeOrEntry === null)
return [undefined, undefined];
if (this.isNode(keyNodeOrEntry))
return [keyNodeOrEntry, value];
if (this.isEntry(keyNodeOrEntry)) {
const [key, entryValue] = keyNodeOrEntry;
if (key === undefined || key === null)
return [undefined, undefined];
const finalValue = value !== null && value !== void 0 ? value : entryValue;
return [this.createNode(key, finalValue, 'BLACK', count), finalValue];
}
return [this.createNode(keyNodeOrEntry, value, 'BLACK', count), value];
}
/**
* Time Complexity: O(1)
* Space Complexity: O(1)
*
* The `_swapProperties` function swaps the properties (key, value, count, color) between two nodes
* in a binary search tree.
* @param {R | BSTNOptKeyOrNode<K, TreeCounterNode<K, V>>} srcNode - The `srcNode` parameter represents the source node
* that will be swapped with the `destNode`. It can be either an instance of the `R` class or an
* instance of the `BSTNOptKeyOrNode<K, TreeCounterNode<K, V>>` class.
* @param {R | BSTNOptKeyOrNode<K, TreeCounterNode<K, V>>} 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.
*/
_swapProperties(srcNode, destNode) {
srcNode = this.ensureNode(srcNode);
destNode = this.ensureNode(destNode);
if (srcNode && destNode) {
const { key, value, count, color } = destNode;
const tempNode = this.createNode(key, value, color, count);
if (tempNode) {
tempNode.color = color;
destNode.key = srcNode.key;
if (!this._isMapMode)
destNode.value = srcNode.value;
destNode.count = srcNode.count;
destNode.color = srcNode.color;
srcNode.key = tempNode.key;
if (!this._isMapMode)
srcNode.value = tempNode.value;
srcNode.count = tempNode.count;
srcNode.color = tempNode.color;
}
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 {TreeCounterNode<K, V>} oldNode - The `oldNode` parameter is the node that you want to replace in the data
* structure.
* @param {TreeCounterNode<K, V>} newNode - The `newNode` parameter is an instance of the `TreeCounterNode<K, V>` class.
* @returns The method is returning the result of calling the `_replaceNode` method from the
* superclass, which is of type `TreeCounterNode<K, V>`.
*/
_replaceNode(oldNode, newNode) {
newNode.count = oldNode.count + newNode.count;
return super._replaceNode(oldNode, newNode);
}
}
exports.TreeCounter = TreeCounter;