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docs: Conventional Commits of CONTRIBUTING.md, Built-in classic algorithms enriched

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2
CHANGELOG.md
View file

@ -8,7 +8,7 @@ All notable changes to this project will be documented in this file.
- [Semantic Versioning](https://semver.org/spec/v2.0.0.html)
- [`auto-changelog`](https://github.com/CookPete/auto-changelog)
## [v1.42.4](https://github.com/zrwusa/data-structure-typed/compare/v1.35.0...main) (upcoming)
## [v1.42.5](https://github.com/zrwusa/data-structure-typed/compare/v1.35.0...main) (upcoming)
### Changes

342
README.md
View file

@ -27,8 +27,105 @@ Now you can use this library in Node.js and browser environments in CommonJS(req
## Built-in classic algorithms
DFS(Depth-First Search), DFSIterative, BFS(Breadth-First Search), morris, Bellman-Ford Algorithm, Dijkstra's Algorithm,
Floyd-Warshall Algorithm, Tarjan's Algorithm.
<table>
<thead>
<tr>
<th>Algorithm</th>
<th>Function Description</th>
<th>Iteration Type</th>
</tr>
</thead>
<tbody>
<tr>
<td>Binary Tree DFS</td>
<td>Traverse a binary tree in a depth-first manner, starting from the root node, first visiting the left subtree,
and then the right subtree, using recursion.
</td>
<td>Recursion + Iteration</td>
</tr>
<tr>
<td>Binary Tree BFS</td>
<td>Traverse a binary tree in a breadth-first manner, starting from the root node, visiting nodes level by level
from left to right.
</td>
<td>Iteration</td>
</tr>
<tr>
<td>Graph DFS</td>
<td>Traverse a graph in a depth-first manner, starting from a given node, exploring along one path as deeply as
possible, and backtracking to explore other paths. Used for finding connected components, paths, etc.
</td>
<td>Recursion + Iteration</td>
</tr>
<tr>
<td>Binary Tree Morris</td>
<td>Morris traversal is an in-order traversal algorithm for binary trees with O(1) space complexity. It allows tree
traversal without additional stack or recursion.
</td>
<td>Iteration</td>
</tr>
<tr>
<td>Graph BFS</td>
<td>Traverse a graph in a breadth-first manner, starting from a given node, first visiting nodes directly connected
to the starting node, and then expanding level by level. Used for finding shortest paths, etc.
</td>
<td>Recursion + Iteration</td>
</tr>
<tr>
<td>Graph Tarjan's Algorithm</td>
<td>Find strongly connected components in a graph, typically implemented using depth-first search.</td>
<td>Recursion</td>
</tr>
<tr>
<td>Graph Bellman-Ford Algorithm</td>
<td>Finding the shortest paths from a single source, can handle negative weight edges</td>
<td>Iteration</td>
</tr>
<tr>
<td>Graph Dijkstra's Algorithm</td>
<td>Finding the shortest paths from a single source, cannot handle negative weight edges</td>
<td>Iteration</td>
</tr>
<tr>
<td>Graph Floyd-Warshall Algorithm</td>
<td>Finding the shortest paths between all pairs of nodes</td>
<td>Iteration</td>
</tr>
<tr>
<td>Graph getCycles</td>
<td>Find all cycles in a graph or detect the presence of cycles.</td>
<td>Recursion</td>
</tr>
<tr>
<td>Graph getCutVertexes</td>
<td>Find cut vertices in a graph, which are nodes that, when removed, increase the number of connected components in
the graph.
</td>
<td>Recursion</td>
</tr>
<tr>
<td>Graph getSCCs</td>
<td>Find strongly connected components in a graph, which are subgraphs where any two nodes can reach each other.
</td>
<td>Recursion</td>
</tr>
<tr>
<td>Graph getBridges</td>
<td>Find bridges in a graph, which are edges that, when removed, increase the number of connected components in the
graph.
</td>
<td>Recursion</td>
</tr>
<tr>
<td>Graph topologicalSort</td>
<td>Perform topological sorting on a directed acyclic graph (DAG) to find a linear order of nodes such that all
directed edges go from earlier nodes to later nodes.
</td>
<td>Recursion</td>
</tr>
</tbody>
</table>
## Installation and Usage
@ -54,11 +151,12 @@ import {
### CDN
Copy the line below into the head tag in an HTML document.
```html
<script src='https://cdn.jsdelivr.net/npm/data-structure-typed/dist/umd/data-structure-typed.min.js'></script>
```
Copy the code below into the script tag of your HTML, and you're good to go with your development work.
```js
const {Heap} = dataStructureTyped;
const {
@ -84,7 +182,7 @@ const {
<a href="https://github.com/zrwusa/vivid-algorithm" target="_blank">Examples Repository</a>
## Code Snippet
## Code Snippets
### Binary Search Tree (BST) snippet
@ -99,27 +197,40 @@ bst.add(3);
bst.addMany([15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5]);
bst.size === 16; // true
bst.has(6); // true
const node6 = bst.get(6); // BSTNode
const node6 = bst.getNode(6); // BSTNode
bst.getHeight(6) === 2; // true
bst.getHeight() === 5; // true
bst.getDepth(6) === 3; // true
bst.getLeftMost()?.id === 1; // true
bst.getLeftMost()?.key === 1; // true
bst.delete(6);
bst.get(6); // null
bst.get(6); // undefined
bst.isAVLBalanced(); // true
bst.bfs()[0] === 11; // true
const objBST = new BST<BSTNode<{id: number, keyA: number}>>();
objBST.add(11, {id: 11, keyA: 11});
objBST.add(3, {id: 3, keyA: 3});
const objBST = new BST<{height: number, age: number}>();
objBST.addMany([{id: 15, keyA: 15}, {id: 1, keyA: 1}, {id: 8, keyA: 8},
{id: 13, keyA: 13}, {id: 16, keyA: 16}, {id: 2, keyA: 2},
{id: 6, keyA: 6}, {id: 9, keyA: 9}, {id: 12, keyA: 12},
{id: 14, keyA: 14}, {id: 4, keyA: 4}, {id: 7, keyA: 7},
{id: 10, keyA: 10}, {id: 5, keyA: 5}]);
objBST.add(11, { "name": "Pablo", "age": 15 });
objBST.add(3, { "name": "Kirk", "age": 1 });
objBST.addMany([15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5], [
{ "name": "Alice", "age": 15 },
{ "name": "Bob", "age": 1 },
{ "name": "Charlie", "age": 8 },
{ "name": "David", "age": 13 },
{ "name": "Emma", "age": 16 },
{ "name": "Frank", "age": 2 },
{ "name": "Grace", "age": 6 },
{ "name": "Hannah", "age": 9 },
{ "name": "Isaac", "age": 12 },
{ "name": "Jack", "age": 14 },
{ "name": "Katie", "age": 4 },
{ "name": "Liam", "age": 7 },
{ "name": "Mia", "age": 10 },
{ "name": "Noah", "age": 5 }
]
);
objBST.delete(11);
```
@ -133,39 +244,21 @@ const bst = new BST();
bst.add(11);
bst.add(3);
bst.addMany([15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5]);
bst.size === 16; // true
bst.has(6); // true
const node6 = bst.get(6);
bst.getHeight(6) === 2; // true
bst.getHeight() === 5; // true
bst.getDepth(6) === 3; // true
bst.size === 16; // true
bst.has(6); // true
const node6 = bst.getNode(6);
bst.getHeight(6) === 2; // true
bst.getHeight() === 5; // true
bst.getDepth(6) === 3; // true
const leftMost = bst.getLeftMost();
leftMost?.id === 1; // true
expect(leftMost?.id).toBe(1);
leftMost?.key === 1; // true
bst.delete(6);
bst.get(6); // null
bst.isAVLBalanced(); // true or false
bst.get(6); // undefined
bst.isAVLBalanced(); // true or false
const bfsIDs = bst.bfs();
bfsIDs[0] === 11; // true
expect(bfsIDs[0]).toBe(11);
bfsIDs[0] === 11; // true
const objBST = new BST();
objBST.add(11, {id: 11, keyA: 11});
objBST.add(3, {id: 3, keyA: 3});
objBST.addMany([{id: 15, keyA: 15}, {id: 1, keyA: 1}, {id: 8, keyA: 8},
{id: 13, keyA: 13}, {id: 16, keyA: 16}, {id: 2, keyA: 2},
{id: 6, keyA: 6}, {id: 9, keyA: 9}, {id: 12, keyA: 12},
{id: 14, keyA: 14}, {id: 4, keyA: 4}, {id: 7, keyA: 7},
{id: 10, keyA: 10}, {id: 5, keyA: 5}]);
objBST.delete(11);
const avlTree = new AVLTree();
avlTree.addMany([11, 3, 15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5])
avlTree.isAVLBalanced(); // true
avlTree.delete(10);
avlTree.isAVLBalanced(); // true
```
### AVLTree snippet
@ -222,7 +315,7 @@ graph.addVertex('C');
graph.addEdge('A', 'B');
graph.addEdge('B', 'C');
const topologicalOrderIds = graph.topologicalSort(); // ['A', 'B', 'C']
const topologicalOrderKeys = graph.topologicalSort(); // ['A', 'B', 'C']
```
### Undirected Graph snippet
@ -242,7 +335,7 @@ graph.addEdge('A', 'B');
graph.addEdge('B', 'D');
const dijkstraResult = graph.dijkstra('A');
Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.id) // ['A', 'B', 'D']
Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.key) // ['A', 'B', 'D']
```
## Data Structures
@ -444,12 +537,6 @@ Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.id) // ['A', 'B', 'D
</tr>
</thead>
<tbody>
<tr>
<td>Array&lt;E&gt;</td>
<td>vector&lt;T&gt;</td>
<td>ArrayList&lt;E&gt;</td>
<td>list</td>
</tr>
<tr>
<td>DoublyLinkedList&lt;E&gt;</td>
<td>list&lt;T&gt;</td>
@ -462,6 +549,42 @@ Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.id) // ['A', 'B', 'D
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Array&lt;E&gt;</td>
<td>vector&lt;T&gt;</td>
<td>ArrayList&lt;E&gt;</td>
<td>list</td>
</tr>
<tr>
<td>Queue&lt;E&gt;</td>
<td>queue&lt;T&gt;</td>
<td>Queue&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>Deque&lt;E&gt;</td>
<td>deque&lt;T&gt;</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>PriorityQueue&lt;E&gt;</td>
<td>priority_queue&lt;T&gt;</td>
<td>PriorityQueue&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>Heap&lt;E&gt;</td>
<td>priority_queue&lt;T&gt;</td>
<td>PriorityQueue&lt;E&gt;</td>
<td>heapq</td>
</tr>
<tr>
<td>Stack&lt;E&gt;</td>
<td>stack&lt;T&gt;</td>
<td>Stack&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>Set&lt;E&gt;</td>
<td>set&lt;T&gt;</td>
@ -475,46 +598,9 @@ Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.id) // ['A', 'B', 'D
<td>dict</td>
</tr>
<tr>
<td>Map&lt;K, V&gt;</td>
<td>-</td>
<td>-</td>
<td>OrderedDict</td>
</tr>
<tr>
<td>Queue&lt;E&gt;</td>
<td>queue&lt;T&gt;</td>
<td>Queue&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>PriorityQueue&lt;E&gt;</td>
<td>priority_queue&lt;T&gt;</td>
<td>PriorityQueue&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>Heap&lt;V&gt;</td>
<td>priority_queue&lt;T&gt;</td>
<td>PriorityQueue&lt;E&gt;</td>
<td>heapq</td>
</tr>
<tr>
<td>Stack&lt;E&gt;</td>
<td>stack&lt;T&gt;</td>
<td>Stack&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>Deque&lt;E&gt;</td>
<td>deque&lt;T&gt;</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Trie</td>
<td>-</td>
<td>-</td>
<td>unordered_set&lt;T&gt;</td>
<td>HashSet&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
@ -524,16 +610,10 @@ Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.id) // ['A', 'B', 'D
<td>defaultdict</td>
</tr>
<tr>
<td>-</td>
<td>multiset&lt;T&gt;</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>-</td>
<td>multimap&lt;K, V&gt;</td>
<td>Map&lt;K, V&gt;</td>
<td>-</td>
<td>-</td>
<td>OrderedDict</td>
</tr>
<tr>
<td>BinaryTree&lt;K, V&gt;</td>
@ -547,6 +627,42 @@ Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.id) // ['A', 'B', 'D
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>TreeMultimap&lt;K, V&gt;</td>
<td>multimap&lt;K, V&gt;</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>AVLTree&lt;E&gt;</td>
<td>-</td>
<td>TreeSet&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>AVLTree&lt;K, V&gt;</td>
<td>-</td>
<td>TreeMap&lt;K, V&gt;</td>
<td>-</td>
</tr>
<tr>
<td>AVLTree&lt;E&gt;</td>
<td>set</td>
<td>TreeSet&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>Trie</td>
<td>-</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>-</td>
<td>multiset&lt;T&gt;</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>DirectedGraph&lt;V, E&gt;</td>
<td>-</td>
@ -577,24 +693,6 @@ Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.id) // ['A', 'B', 'D
<td>LinkedHashMap&lt;K, V&gt;</td>
<td>-</td>
</tr>
<tr>
<td>AVLTree&lt;E&gt;</td>
<td>-</td>
<td>TreeSet&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>AVLTree&lt;K, V&gt;</td>
<td>-</td>
<td>TreeMap&lt;K, V&gt;</td>
<td>-</td>
</tr>
<tr>
<td>AVLTree&lt;E&gt;</td>
<td>set</td>
<td>TreeSet&lt;E&gt;</td>
<td>-</td>
</tr>
<tr>
<td>-</td>
<td>unordered_multimap&lt;K, V&gt;</td>
@ -607,12 +705,6 @@ Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.id) // ['A', 'B', 'D
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>-</td>
<td>unordered_set&lt;T&gt;</td>
<td>HashSet&lt;E&gt;</td>
<td>-</td>
</tr>
</tbody>
</table>
@ -633,7 +725,7 @@ optimal approach to data structure design.
## Benchmark
[//]: # (Start of Replace Section)
[//]: # (No deletion!!! Start of Replace Section)
<div class="json-to-html-collapse clearfix 0">
<div class='collapsible level0' ><span class='json-to-html-label'>avl-tree</span></div>
<div class="content"><table style="display: table; width:100%; table-layout: fixed;"><tr><th>test name</th><th>time taken (ms)</th><th>executions per sec</th><th>sample deviation</th></tr><tr><td>10,000 add randomly</td><td>30.52</td><td>32.76</td><td>3.28e-4</td></tr><tr><td>10,000 add & delete randomly</td><td>66.96</td><td>14.94</td><td>0.00</td></tr><tr><td>10,000 addMany</td><td>39.78</td><td>25.14</td><td>3.67e-4</td></tr><tr><td>10,000 get</td><td>27.38</td><td>36.52</td><td>0.00</td></tr></table></div>
@ -672,4 +764,4 @@ optimal approach to data structure design.
<div class="content"><table style="display: table; width:100%; table-layout: fixed;"><tr><th>test name</th><th>time taken (ms)</th><th>executions per sec</th><th>sample deviation</th></tr><tr><td>100,000 push</td><td>59.40</td><td>16.83</td><td>0.01</td></tr><tr><td>100,000 getWords</td><td>90.07</td><td>11.10</td><td>0.00</td></tr></table></div>
</div>
[//]: # (End of Replace Section)
[//]: # (No deletion!!! End of Replace Section)

50
package-lock.json generated
View file

@ -1,12 +1,12 @@
{
"name": "data-structure-typed",
"version": "1.41.8",
"version": "1.42.5",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "data-structure-typed",
"version": "1.41.8",
"version": "1.42.5",
"license": "MIT",
"devDependencies": {
"@types/benchmark": "^2.1.3",
@ -16,10 +16,10 @@
"@typescript-eslint/eslint-plugin": "^6.7.4",
"@typescript-eslint/parser": "^6.7.4",
"auto-changelog": "^2.4.0",
"avl-tree-typed": "^1.41.8",
"avl-tree-typed": "^1.42.5",
"benchmark": "^2.1.4",
"binary-tree-typed": "^1.41.8",
"bst-typed": "^1.41.8",
"binary-tree-typed": "^1.42.5",
"bst-typed": "^1.42.5",
"dependency-cruiser": "^14.1.0",
"eslint": "^8.50.0",
"eslint-config-prettier": "^9.0.0",
@ -27,7 +27,7 @@
"eslint-import-resolver-typescript": "^3.6.1",
"eslint-plugin-import": "^2.28.1",
"fast-glob": "^3.3.1",
"heap-typed": "^1.41.8",
"heap-typed": "^1.42.5",
"istanbul-badges-readme": "^1.8.5",
"jest": "^29.7.0",
"prettier": "^3.0.3",
@ -2789,12 +2789,12 @@
}
},
"node_modules/avl-tree-typed": {
"version": "1.41.8",
"resolved": "https://registry.npmjs.org/avl-tree-typed/-/avl-tree-typed-1.41.8.tgz",
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"version": "1.42.5",
"resolved": "https://registry.npmjs.org/avl-tree-typed/-/avl-tree-typed-1.42.5.tgz",
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"dev": true,
"dependencies": {
"data-structure-typed": "^1.41.8"
"data-structure-typed": "^1.42.5"
}
},
"node_modules/babel-jest": {
@ -2988,12 +2988,12 @@
}
},
"node_modules/binary-tree-typed": {
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"resolved": "https://registry.npmjs.org/binary-tree-typed/-/binary-tree-typed-1.41.8.tgz",
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"dev": true,
"dependencies": {
"data-structure-typed": "^1.41.8"
"data-structure-typed": "^1.42.5"
}
},
"node_modules/brace-expansion": {
@ -3072,12 +3072,12 @@
}
},
"node_modules/bst-typed": {
"version": "1.41.8",
"resolved": "https://registry.npmjs.org/bst-typed/-/bst-typed-1.41.8.tgz",
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"dev": true,
"dependencies": {
"data-structure-typed": "^1.41.8"
"data-structure-typed": "^1.42.5"
}
},
"node_modules/buffer-from": {
@ -3480,9 +3480,9 @@
}
},
"node_modules/data-structure-typed": {
"version": "1.41.8",
"resolved": "https://registry.npmjs.org/data-structure-typed/-/data-structure-typed-1.41.8.tgz",
"integrity": "sha512-g4gwL7oJH6aMC8uD5Fgwgc/yRWDrVsnLpYtwpVk5A3FFWyIP/FXriQ0kNOdpo4TydSbefyjo/QzapUXHcZ7ZOA==",
"version": "1.42.5",
"resolved": "https://registry.npmjs.org/data-structure-typed/-/data-structure-typed-1.42.5.tgz",
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"dev": true
},
"node_modules/debug": {
@ -4847,12 +4847,12 @@
}
},
"node_modules/heap-typed": {
"version": "1.41.8",
"resolved": "https://registry.npmjs.org/heap-typed/-/heap-typed-1.41.8.tgz",
"integrity": "sha512-eegrUhG3a9EP9QHLCtjKmuWG3Fx6/wCSu4wGBIVgJP2OSSWdoGhp1Lj9BRqhCc6hYCLUlOEa271z458Y0vZmDw==",
"version": "1.42.5",
"resolved": "https://registry.npmjs.org/heap-typed/-/heap-typed-1.42.5.tgz",
"integrity": "sha512-Phg3YCLWWVomTBO/74ou1flJRDhtEehSgnRL7/FkMBWZF7PXBgQeSWI7pA27j9gYtVpU+nHvOBv0hw7M5/1LVw==",
"dev": true,
"dependencies": {
"data-structure-typed": "^1.41.8"
"data-structure-typed": "^1.42.5"
}
},
"node_modules/html-escaper": {

12
package.json
View file

@ -1,6 +1,6 @@
{
"name": "data-structure-typed",
"version": "1.42.5",
"version": "1.42.6",
"description": "Data Structures of Javascript & TypeScript. Binary Tree, BST, Graph, Heap, Priority Queue, Linked List, Queue, Deque, Stack, AVL Tree, Tree Multiset, Trie, Directed Graph, Undirected Graph, Singly Linked List, Doubly Linked List, Max Heap, Max Priority Queue, Min Heap, Min Priority Queue.",
"main": "dist/cjs/src/index.js",
"module": "dist/mjs/src/index.js",
@ -64,10 +64,10 @@
"@typescript-eslint/eslint-plugin": "^6.7.4",
"@typescript-eslint/parser": "^6.7.4",
"auto-changelog": "^2.4.0",
"avl-tree-typed": "^1.41.8",
"avl-tree-typed": "^1.42.5",
"benchmark": "^2.1.4",
"binary-tree-typed": "^1.41.8",
"bst-typed": "^1.41.8",
"binary-tree-typed": "^1.42.5",
"bst-typed": "^1.42.5",
"dependency-cruiser": "^14.1.0",
"eslint": "^8.50.0",
"eslint-config-prettier": "^9.0.0",
@ -75,7 +75,7 @@
"eslint-import-resolver-typescript": "^3.6.1",
"eslint-plugin-import": "^2.28.1",
"fast-glob": "^3.3.1",
"heap-typed": "^1.41.8",
"heap-typed": "^1.42.5",
"istanbul-badges-readme": "^1.8.5",
"jest": "^29.7.0",
"prettier": "^3.0.3",
@ -161,6 +161,8 @@
"avl-tree",
"tree multiset",
"treemultiset",
"tree multimap",
"treemultimap",
"tree-multimap",
"binary indexed tree",
"binaryindexedtree",

4
test/performance/reportor.ts
View file

@ -100,8 +100,8 @@ const composeReport = () => {
</body>
</html>`;
replaceMarkdownContent(
'[//]: # (Start of Replace Section)', // Start tag
'[//]: # (End of Replace Section)', // end identifier
'[//]: # (No deletion!!! Start of Replace Section)', // Start tag
'[//]: # (No deletion!!! End of Replace Section)', // end identifier
htmlTables // New content to be inserted
);
fs.writeFileSync(htmlFilePath, html);