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is a JavaScript based npm package for using awesome data structures like Stacks, Queue, LinkedList, PriorityQueues etc and core algorithms of sorting and utility","homepage":"https://github.com/harsh07bharvada/structures-wiz#readme","keywords":["data-structures","stacks","queue","linkedlist","priority-queue","algorithms","sorting","utility"],"repository":{"type":"git","url":"git+https://github.com/harsh07bharvada/structures-wiz.git"},"author":{"name":"Harsh Bharvada"},"bugs":{"url":"https://github.com/harsh07bharvada/structures-wiz/issues"},"license":"MIT","readme":"<p align=\"center\">\n<img width=\"100\" alt='Structures-wiz' src='https://www.flaticon.com/svg/static/icons/svg/1572/1572252.svg'>\n\n# Structures-Wiz\n\n</p>\n\n  ![GitHub forks](https://img.shields.io/github/forks/harsh07bharvada/structures-wiz?style=for-the-badge)\n  ![GitHub Repo stars](https://img.shields.io/github/stars/harsh07bharvada/structures-wiz?color=yellow&style=for-the-badge)\n  ![npm](https://img.shields.io/npm/v/structures-wiz?color=lavender&style=for-the-badge)\n  ![GitHub license](https://img.shields.io/npm/l/structures-wiz?style=for-the-badge)\n  ![npm](https://img.shields.io/npm/dy/structures-wiz?style=for-the-badge)\n\n### [](https://github.com/Naereen/badges#demandez-moi-nimporte-quoi-in-french)\n\nStructures-Wiz is a JavaScript based npm package for using awesome data structures like Stacks, Queue, LinkedList, PriorityQueues etc.\n\n# Table of contents\n\n- [Installation](#installation)\n- [Usage](#usage)\n    - [Algorithms](#algo)\n      - [Maximum Sum Subarray](#mss)\n      - [Maximum Product Subarray](#mps)\n      - [Longest Increasing Subsequence Length](#llisl)\n      - [Longest Common Subsequence Length](#lcsl)\n      - [Shortest Unsorted Continuous Subarray Length](#sucs)\n      - [Is Cycle Present in a Graph](#isCyclePresent)\n      - [Diameter of a Binary Tree](#dbt)\n      - [Is Sorted List](is-sorted)\n      - [Patience Sort](#pat-sort)\n      - [Merge Sort](#merge-sort)\n      - [Topological Sort in a Graph](#top-sort)\n      - [Is Increasing Triplet Subsequence Present](#increasing-triplet)\n      - [Number of Balanced Binary Trees possible of Height 'h' ](#num-bbt-h)\n      - [Number of Unique Binary Trees with 'n' unique nodes](#num-bt)\n    - [Fenwick Tree (Binary Indexed Tree)](#fen-tree)\n\t    - [Instantiation](#ft-instantiation)\n\t    - [Methods](#ft-methods)\n        - [getTree](#ft-getTree)\n        - [add](#ft-add)\n        - [getSum](#ft-getSum)\n    - [Segment Tree](#seg-tree)\n\t    - [Instantiation](#st-instantiation)\n\t    - [Methods](#st-methods)\n        - [getTree](#st-getTree)\n        - [getList](#st-getList)\n        - [getRangeSum](#st-getRangeSum)\n    - [Priority Queues](#priority-queue)\n\t    - [Instantiation](#pq-instantiation)\n\t    - [Methods](#pq-methods)\n\t\t    - [getSize](#pq-getSize)\n\t\t    - [getParentIndex](#pq-getParentIndex)\n\t\t    - [getLeftIndex](#pq-getLeftIndex)\n\t\t    - [getRightIndex](#pq-getRightIndex)\n\t\t    - [enqueue](#pq-enqueue)\n\t\t    - [dequeue](#pq-dequeue)\n\t\t    - [peek](#pq-peek)\n        - [getHeap](#pq-getHeap)\n\t\t    - [getSortedHeap](#pq-getSortedHeap)\n\t\t    - [getKth](#pq-getKth)\n\t\t    - [getHeight](#pq-getHeight)\n\t\t    - [isLeafNode](#pq-isLeafNode)\n\t\t    - [getLeafNodes](#pq-getLeafNodes)\n\t\t    - [print](#pq-print)\n\t\t    - [printSortedHeap](#pq-printSortedHeap)\n        - [clear](#pq-clear)\n    - [Stacks](#stacks)\n\t    - [Instantiation](#st-instantiation)\n\t    - [Methods](#st-methods)\n\t\t    - [getSize](#st-getSize)\n\t\t    - [push](#st-push)\n\t\t    - [pushAll](#st-pushAll)\n\t\t    - [peek](#st-peek)\n\t\t    - [pop](#st-pop)\n\t\t    - [removeDuplicates](#st-removeDuplicates)\n\t\t    - [clear](#st-clear)\n\t\t    - [print](#st-print)\n    - [Queue](#queues) :soon:\n    - [LinkedList](#ll)\n        - [Instantiation](#ll-instantiation)\n        - [Methods](#ll-methods)\n            - [getSize](#ll-getSize)\n            - [addAtHead](#ll-addAtHead)\n            - [addAtTail](#ll-addAtTail)\n            - [removeAtHead](#ll-removeAtHead)\n            - [removeAtTail](#ll-removeAtTail)\n            - [print](#ll-print)\n            - [sort](#ll-sort)\n            - [getHead](#ll-getHead)\n            - [getTail](#ll-getTail)\n            - [getArray](#ll-getArray)\n            - [mapRunner](#ll-mapRunner)\n            - [clear](#ll-clear)\n\t\n- [Contribute](#contribute)\n- [License](#license)\n\n  \n\n## Installation\n\n  \n\nUse the [npm](https://www.npmjs.com/) package manager to install Structures-Wiz.\n\n  \n\n```bash\n\nnpm install structures-wiz\n\n```\n\n  \n\n## Usage\n\n### Algorithms <a name=\"algo\"></a>\nList of useful handy algorithms implemented in an optimised manner\n\n#### Maximum Sum Subarray<a name=\"mss\"></a>\nMethod to find the maximum sum of a subarray from an array.\nIt is implemented using Kadane's Algorithm with a worst case of O(n) time complexity.\n\n```javascript\n\nimport { getMaximumSumSubarray } from  'structures-wiz';\n\nconst list = [1,-2,-3,9,7,0,-15,20];\n\n//DEBUGGER OFF\nconst  maxSum  =  getMaximumSumSubarray(list);\n\n//DEBUGGER ON\nconst  maxSumDebugOn  =  getMaximumSumSubarray(list,true);\n\nconsole.log(\"Max Sum Subarray is :\", maxSum);// 21\n\n```\n\n#### Maximum Product Subarray<a name=\"mps\"></a>\nMethod to find the maximum product of a subarray from an array.\nIt is implemented using Dynamic Programming with a worst case of O(n) time complexity.\n\n```javascript\n\nimport { getMaximumProductSubarray } from  'structures-wiz';\n\nconst list = [2,3,-2,4];\n\n//DEBUGGER OFF\nconst  maxProd  =  getMaximumProductSubarray(list);\n\n//DEBUGGER ON\nconst  maxProdDebugOn  =  getMaximumProductSubarray(list,true);\n\nconsole.log(\"Max Product Subarray is :\", maxProd);// 6\n\n```\n\n\n#### Longest Common Subsequence Length<a name=\"lcsl\"></a>\nMethod to find the length of the longest common subsequence from an array.\nIt is implemented using Dynamic programming.\n\n```javascript\n\nimport { getLongestCommonSubsequenceLen } from  'structures-wiz';\n\nconst  text1 = \"abcde\";\nconst text2 = \"ace\";\n\n//DEBUGGER OFF\nconst  longestLen  =  getLongestCommonSubsequenceLen(text1, text2);\n\n//DEBUGGER ON\nconst  longestLenOn  =  getLongestCommonSubsequenceLen(text1, text2, true);\n\nconsole.log(\"Length of longest common subsequence is :\", longestLen);// 3\n\n```\n\n#### Longest Increasing Subsequence Length<a name=\"llisl\"></a>\nMethod to find the length of the longest increasing subsequence from an array.\nIt is implemented using Dynamic programming and Patience Sort in O(n logn) time complexity.\n\n```javascript\n\nimport { getLongestIncreasingSubsequenceLen } from  'structures-wiz';\n\nconst  list  =  [10,9,2,5,3,7,101,18];\n\nconst  longestLen  =  getLongestIncreasingSubsequenceLen(list);\n\nconsole.log(\"Length of longest increasing subsequence is :\", longestLen);// 4\n\n```\n\n#### Shortest Unsorted Continuous Subarray Length<a name=\"sucs\"></a>\nMethod to find the length of the shortest unsorted continuous subarray from an input array.\n\n```javascript\n\nimport { getShortestUnsortedSubarray } from  'structures-wiz';\n\nconst  list  =  [2,6,4,8,10,9,15];\n\nconst  shortedSubArrayLen  =  getShortestUnsortedSubarray(list);\n\nconsole.log(\"Length of hortest Unsorted Continuous Subarray is :\", shortedSubArrayLen);// 5\n\n```\n\n\n#### Is Cycle Present in Graph<a name=\"isCyclePresent\"></a>\nMethod to find the cycle is to use Topological sort. First we find the inDegree of each node and then add those \nwhich are not dependent on any other node to the queue and traverse through the queue until all of each childs are \ntraversed, meanwhile reducing the inDegree and adding to the queue when inDegree is 0.\n\nParam1: Number of nodes\nParam2: List of edges in an array where each edge is in the format [outEdge, inEdge]\n\n```javascript\n\nimport { isCyclePresentInGraph } from  'structures-wiz';\n\nconst  edges  =  [[1,0]];\n\n//Way 1 - Debugger OFF\nconst  isCyclePresent  =  isCyclePresentInGraph(2, edges);\n\n//Way 1 - Debugger ON\nconst  isCyclePresentDebugON  =  isCyclePresentInGraph(2, edges, true);\n\nconsole.log(\"Is Cycle Present :\", isCyclePresent);// false\n\n```\n\n#### Diameter of a Binary Tree<a name=\"dbt\"></a>\nThe diameter of a tree (sometimes called the width) is the number of nodes on the longest path between two end nodes. This path may or may not be passing through the root node.\n\nParams: root of the Tree\n\nDefinition for a binary tree node.\nfunction TreeNode(val, left, right) {\nthis.val = (val === undefined ? 0 : val)\nthis.left = (left === undefined ? null : left)\nthis.right = (right === undefined ? null : right)\n}\n\n```javascript\n\nimport { getDiameterOfBinaryTree } from  'structures-wiz';\n\n//Debugging OFF\nconst  diameter =  getDiameterOfBinaryTree(root); //Binary Tree - [1,2,3,4,5]\n\n//Debugging ON\nconst  diameterDebugON =  getDiameterOfBinaryTree(root, true); //Binary Tree - [1,2,3,4,5]\n\nconsole.log(\"Diameter is :\", diameter);// 3\n\n```\n\n#### Is Sorted List<a name=\"is-sorted\"></a>\nFunction to check if the list is sorted or not in an ascending order.\n\n```javascript\n\nimport { isSortedList } from  'structures-wiz';\n\nconst  list  =  [20,3,1,5,7,2,2,6,99,0];\n\n//Ascending Order - (default)\nconst  isSorted  =  isSortedList(list);\n\n//Descending Order - pass a comparator as second argument\nconst  isSorted  =  isSortedList(list, (a,b)=> b-a);\n\n//Debugger ON (3rd Argument)\nconst  isSorted  =  isSortedList(list, (a,b)=> b-a, true);\n\nconsole.log(\"Is List Sorted:\", isSorted);// false\n\n```\n\n#### Patience Sort<a name=\"pat-sort\"></a>\nPatience sort uses series of increasing stacks like the game of Solitaire to sort a list\nin worst case of O(n log n ) time complexity. It accepts two parameters first is the list to be sorted, second is for debugger statements to see how the list is being sorted for better understanding.\n\n```javascript\n\nimport { getPatienceSortedList } from  'structures-wiz';\n\nconst  list  =  [20,3,1,5,7,2,2,6,99,0];\n\n//Debugging OFF\nconst  sortedList  =  getPatienceSortedList(list);\n\nconsole.log(\"Sorted List is :\", sortedList);// [ 0, 1, 2,  2,  3, 5, 6, 7, 20, 99]\n\n//Debugging ON\nconst  sortedDebugList  =  getPatienceSortedList(list, true);\n\n```\n\n#### Merge Sort<a name=\"merge-sort\"></a>\nMerge sort uses the concept of divide-and-conquer to sort the given list of elements. It breaks down the problem into smaller subproblems until they become simple enough to solve directly. Worst case time complexity is O(n logn)\n\n```javascript\n\nimport { getMergeSortedList } from  'structures-wiz';\n\nconst  list  =  [20,3,1,5,7,2,2,6,99,0];\n\n//Debugging OFF\nconst  sortedList  =  getMergeSortedList(list);\n\n//Debugging ON\nconst  sortedDebugList  =  getMergeSortedList(list, true);\n\nconsole.log(\"Sorted List is :\", sortedList);// [ 0, 1, 2,  2,  3, 5, 6, 7, 20, 99]\n\n```\n\n#### Topologically Sort in a Graph <a name=\"top-sort\"></a>\nTopologically sort in a graph helps in build algorithms where few packages are dependent on several other packages to get built before them. Topological Sort gives the sequence in which one can build the packages without coming into deadlock situation\n\n```javascript\n\nimport { getTopologicallySortedGraph } from  'structures-wiz';\n\n//[[inEdge, outEdge]] - FORMAT\nconst  edges  = [[1,0],[2,0],[3,1],[3,2]];\n\n//DEBUGGER OFF\nconst  topologicallySortedList  =  getTopologicallySortedGraph(4, edges);\n\n//DEBUGGER ON\nconst  topologicallySortedListDebug  =  getTopologicallySortedGraph(4, edges, true);\n\nconsole.log(\"Topologically Sorted List is :\", topologicallySortedList);// [0,1,2,3]\n\n```\n\n#### Is Increasing Triplet Present <a name=\"increasing-triplet\"></a>\nAlgorithm to find if an increasing triplet is found in an array or not. The implemenation takes O(N) of Time complexity and O(1) of space complexity.\n\n```javascript\n\nimport { isIncreasingTripletSubsequencePresent } from  'structures-wiz';\n\n\nconst  list  = [1,2,3,4,5];\n\nconst  isIncTripletPresent  =  isIncreasingTripletSubsequencePresent(list);\n\nconsole.log(\"Is Increasing Triplet present :\", isIncTripletPresent);// true\n\n```\n\n\n#### Number of Balanced Binary Trees possible of Height h <a name=\"num-bbt-h\"></a>\nAlgorithm to find maximum number of Balanced Binary Trees of a given height 'h' using Dynamic Programming in O(h) time complexity.\n\n```javascript\n\nimport { getNumberOfBalancedBinaryTrees } from  'structures-wiz';\n\n\nconst  h  = 2;\n\nconst  maxBBT  =  getNumberOfBalancedBinaryTrees(h);\n\nconsole.log(\"Max Number of BBT from h:\", maxBBT);// 3\n\n```\n\n\n#### Number of Unique Binary Trees with 'n' unique nodes <a name=\"num-bt\"></a>\nAlgorithm to find total of unique binary trees from n unique nodes. This implementation calculates nth Catalan Number using Dynamic Programming and Memoization in O(N^2) Time Complexity and O(N) Space Complexity.\n\n```javascript\n\nimport { getUniqueBinaryTreesNum } from  'structures-wiz';\n\n\nconst  n  = 3;\n\nconst  uniqBT  =  getUniqueBinaryTreesNum(n);\n\nconsole.log(\"Number of Unique Binary Trees:\", uniqBT);// 5\n\n```\n\n### Fenwick Tree (Binary Indexed Tree)<a name=\"fen-tree\"></a>\nA Fenwick tree or binary indexed tree is a data structure that can efficiently update elements and calculate prefix sums in a table of numbers. Similar to Segment Trees they take O(logN) time to update and fetch the sum.\n\n#### Instantiation <a name=\"ft-instantiation\"></a>\n\n```javascript\n\nimport { FenwickTree } from  'structures-wiz';\n \nconst fTree = new FenwickTree(5);\n\n```\n\n#### Methods  <a name=\"ft-methods\"></a>\n\nFollowing are the methods exposed for usage:\n\n####  getTree() <a name=\"ft-getTree\"></a>\n\nGets the Fenwick Tree for corresponding input list.\n```javascript\n\nimport { FenwickTree } from  'structures-wiz';\n\nconst fTree = new FenwickTree(5);\n\nconsole.log(\"Tree:\",fTree.getTree())\n\n```\n\n####  add(index, value) <a name=\"ft-add\"></a>\n\nAdds value to the index of the original array.\n```javascript\n\nimport { FenwickTree } from  'structures-wiz';\n\nlet fTree = new FenwickTree(5);\n\nfTree.add(0,1);\n\nconsole.log(\"Tree:\",fTree.getTree());\n\n```\n\n####  getSum(index) <a name=\"ft-getSum\"></a>\n\nGets the Sum till the index the created Fenwick Tree.\n```javascript\n\nimport { FenwickTree } from  'structures-wiz';\n\nlet fTree = new FenwickTree(5);\n\nfTree.add(1,1);\nfTree.add(3,1);\n\nconsole.log(fTree.getSum(4));\n\nconsole.log(\"Sum till 4th index:\",fTree.getSum(4));\n\n```\n\n\n### Segment Tree <a name=\"seg-tree\"></a>\nSegment Trees are one of the best data structures for range query operations especially when update operations are freqeuent. Segment Tree creates a Tree with the original array values at its leaf nodes and its sum, min, max values as each of the pair of leaves as its parent. This makes updation take max of O(log N) time complexity and fetch a range value also O(log N).\n\n#### Instantiation <a name=\"st-instantiation\"></a>\n\n```javascript\n\nimport { SegmentTree } from  'structures-wiz';\n \nconst segTree = new SegmentTree([5,2,1,3,4,6,7,9,8,3]);\n\n```\n\n#### Methods  <a name=\"st-methods\"></a>\n\nFollowing are the methods exposed for usage:\n\n####  getTree() <a name=\"st-getTree\"></a>\n\nGets the Segment Tree for corresponding input list.\n```javascript\n\nimport { SegmentTree } from  'structures-wiz';\n\nconst segTree = new SegmentTree([5,2,1,3,4,6,7,9,8,3]);\n\nconsole.log(\"Tree:\",segTree.getTree())\n\n```\n\n####  getList() <a name=\"st-getList\"></a>\n\nGets the current state of original array of Segment Tree.\n```javascript\n\nimport { SegmentTree } from  'structures-wiz';\n\nconst segTree = new SegmentTree([5,2,1,3,4,6,7,9,8,3]);\n\nconsole.log(\"List:\",segTree.getList())\n\n```\n\n####  getRangeSum() <a name=\"st-getRangeSum\"></a>\n\nGets the Sum of a range from the created Segment Tree.\n```javascript\n\nimport { SegmentTree } from  'structures-wiz';\n\nconst segTree = new SegmentTree([5,2,1,3,4,6,7,9,8,3]);\n\n//Parameters are lower and upper bound index\nconsole.log(\"Sum from 0th index to 2nd index:\",segTree.getRangeSum(0, 2))\n\n```\n\n\n### Priority Queue <a name=\"priority-queue\"></a>\nPriority Queues are an extension to queues. Each entry into a Priority Queue is based on its Priority.\nThe advantage of using Priority Queues is that insertion of elements takes O(log n) time because they are implementation is based on Max Heap or Min Heap.\n\n#### Instantiation <a name=\"pq-instantiation\"></a>\n\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\n//Default contructor will create a Max-Heap \nconst  priorityQ  =  new  PriorityQueue();\n\n//Passing custom comparator for Min Heap\nconst  priorityQ  =  new  PriorityQueue((a,b) => a <= b);\n\n```\n\n#### Methods  <a name=\"pq-methods\"></a>\n\nFollowing are the methods exposed for usage:\n\n####  enqueue(value, priority) <a name=\"pq-enqueue\"></a>\n\nAdds new value to the Queue based on its priority and if Priority is not passed then Priority is equal to Value.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\n//Default contructor will create a Max-Heap \nconst  priorityQ  =  new  PriorityQueue();\n\n\n//Way 1 -  Without specifying Priority (Priority = Value in this case by default)\npriorityQ.enqueue(10);\n\n//Way 2 -  Passing Value & Priority\npriorityQ.enqueue(10, 100);\n\n```\n\n####  dequeue() <a name=\"pq-dequeue\"></a>\n\nRemoves the Maximum element (In case of Max-Heap config) or Minimum Element (In case of Min-Heap config).\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 90);\n\npriorityQ.dequeue(); //Removes the Highest Priority Element\n\n```\n\n####  getSize() <a name=\"pq-getSize\"></a>\n\nReturns the size of the queue.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 90);\n\npriorityQ.getSize(); //2\n\n```\n\n####  getLeftIndex( index ) <a name=\"pq-getLeftIndex\"></a>\n\nReturns the left child index of the passed index.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst leftIndex = priorityQ.getLeftIndex(0);\nconsole.log(\"LeftIndex of 0th index is :\",leftIndex); //1\n\n```\n####  getRightIndex( index ) <a name=\"pq-getRightIndex\"></a>\n\nReturns the right child index of the passed index.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst rightIndex = priorityQ.getRightIndex(0);\nconsole.log(\"RightIndex of 0th index is :\",rightIndex); //2\n\n```\n\n####  getParentIndex( index ) <a name=\"pq-getParentIndex\"></a>\n\nReturns the parent node index of the passed index.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst parentIndex = priorityQ.getParentIndex(1);\nconsole.log(\"ParentIndex of 1st index is :\",parentIndex);//0\n\n```\n\n####  peek() <a name=\"pq-peek\"></a>\n\nReturns the Maximum element (In case of Max-Heap config) or Minimum Element (In case of Min-Heap config).\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst peekValue = priorityQ.peek();\nconsole.log(\"Peak Value is :\",peekValue); //[ 70 , 200 ]\n\n```\n\n####  getHeap() <a name=\"pq-getHeap\"></a>\n\nReturns the current heap \n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst Heap = priorityQ.getHeap();\nconsole.log(\"Heap is :\",Heap);\n/*[\n  [ 70, 200 ],\n  [ 10, 100 ],\n  [ 60, 90 ],\n  [ 40, 20 ],\n  [ 20, 80 ],\n  [ 50, 40 ]\n]*/\n\n```\n\n####  getSortedHeap() <a name=\"pq-getSortedHeap\"></a>\n\nReturns the current heap in the sorted order ( Descending if config is set as Max-Heap else Ascending in case of Min-Heap)\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst sortedHeap = priorityQ.getSortedHeap();\nconsole.log(\"Sorted Heap is :\",sortedHeap);\n/*[\n  [ 70, 200 ],\n  [ 10, 100 ],\n  [ 60, 90 ],\n  [ 20, 80 ],\n  [ 50, 40 ],\n  [ 40, 20 ]\n]*/\n\n```\n\n####  getKth(k) <a name=\"pq-getKth\"></a>\n\nIf the Priority Queue is a Max Heap( by default ) then this method returns 'kth' Max Element in the Sorted Max Heap otherwise in case of Min Heap it returns 'kth' Min Element in the Sorted Min Heap .\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\n// kthMax element ( As Max Heap )\nconst k = 2;\nconst kthElement = priorityQ.getKth(2);\nconsole.log(\"kth - \",k,\" is :\",kthElement); //[ 10 , 100 ]\n\n```\n\n####  getHeight() <a name=\"pq-getHeight\"></a>\n\nReturns the height of the heap.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst height = priorityQ.getHeight();\nconsole.log(\"Height of Heap is :\",height); // 2\n\n```\n\n####  isLeafNode(index) <a name=\"pq-isLeafNode\"></a>\n\nReturns true if the node at the index is a leaf node else returns false.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst index = 4;\nconst isIndexLeafNode = priorityQ.isLeafNode(index);\nconsole.log(\"Is \",index,\"Th a leaf node ?\",isIndexLeafNode); // true\n\n```\n\n####  getLeafNodes() <a name=\"pq-getLeafNodes\"></a>\n\nReturns the list of leaf nodes.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\nconst leafNodes = priorityQ.getLeafNodes();\nconsole.log(\"Leaf Nodes are\",leafNodes); // [ [ 60, 90 ], [ 40, 20 ], [ 20, 80 ], [ 50, 40 ] ]\n\n```\n\n####  print() <a name=\"pq-print\"></a>\n\nPrints the current state of the queue.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\npriorityQ.print();\n/*\n[\n  [ 70, 200 ],\n  [ 10, 100 ],\n  [ 60, 90 ],\n  [ 40, 20 ],\n  [ 20, 80 ],\n  [ 50, 40 ]\n]\n*/\n```\n\n####  printSortedHeap() <a name=\"pq-printSortedHeap\"></a>\n\nPrints the current heap in the sorted order ( Descending if config is set as Max-Heap else Ascending in case of Min-Heap)\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\npriorityQ.printSortedHeap();\n/*\n[\n  [ 70, 200 ],\n  [ 10, 100 ],\n  [ 60, 90 ],\n  [ 20, 80 ],\n  [ 50, 40 ],\n  [ 40, 20 ]\n]\n*/\n```\n####  clear() <a name=\"pq-clear\"></a>\n\nClears the queue.\n```javascript\n\nimport { PriorityQueue } from  'structures-wiz';\n\nconst  priorityQ  =  new  PriorityQueue();\n\npriorityQ.enqueue(10, 100);\npriorityQ.enqueue(20, 80);\npriorityQ.enqueue(60, 90);\npriorityQ.enqueue(40, 20);\npriorityQ.enqueue(70, 200);\npriorityQ.enqueue(50, 40);\n\npriorityQ.print();\n/*\n[\n  [ 70, 200 ],\n  [ 10, 100 ],\n  [ 60, 90 ],\n  [ 40, 20 ],\n  [ 20, 80 ],\n  [ 50, 40 ]\n]\n*/\n\npriorityQ.clear();\n\npriorityQ.print(); // []\n```\n\n<hr>\n\n### Stack\nImplementation of stack is pretty straightforward with a few additional features like creating a stack with unique elements and removing duplicates in a stack.\n\n#### Instantiation <a name=\"st-instantiation\"></a>\n\n```javascript\n\nimport { Stack } from  'structures-wiz';\n\n//Default contructor will create a Stack with empty elements and \"isUnique\" flag false  \nconst stack = new Stack();\n\n//Passing custom values and setting the second parameter makes the Stack only accept unique Elements\nconst uniqueStack = new Stack([20, 90],true);\n\n```\n\n#### Methods  <a name=\"st-methods\"></a>\n\nFollowing are the methods exposed for usage:\n\n####  getSize() <a name=\"st-getSize\"></a>\n\n```javascript\n\nimport { Stack } from  'structures-wiz';\n \nconst stack = new Stack([20, 80, 10, 90]);\n\nconst size = stack.getSize();\nconsole.log(\"Size of the stack is:\",size); // 4\n```\n\n####  push(value) <a name=\"st-push\"></a>\n\nPushes the received value at the end of the stack.\n```javascript\n\nimport { Stack } from  'structures-wiz';\n \nconst stack = new Stack();\nstack.push(100);\nstack.push(100);\nstack.push(400);\nstack.push(600);\nstack.push(100);\nstack.push(800);\nstack.print() // [ 100, 100, 400, 600, 100, 800 ]\n```\n\n####  pushAll(values) <a name=\"st-pushAll\"></a>\n\nPushes all the received values at the end of the stack.\n```javascript\n\nimport { Stack } from  'structures-wiz';\n \n //Config 1 - Pass set of values\nconst stack = new Stack();\nstack.pushAll( 100, 100, 400, 600, 100, 800 );\nstack.print() // [ 100, 100, 400, 600, 100, 800 ]\n\n //Config 2 - Pass Array of values\nconst stack = new Stack();\nstack.pushAll([100, 100, 400, 600, 100, 800]);\nstack.print() // [ 100, 100, 400, 600, 100, 800 ]\n```\n\n####  peek() <a name=\"st-peek\"></a>\n\nReturns the top most value.\n```javascript\n\nimport { Stack } from  'structures-wiz';\n \nconst stack = new Stack();\nstack.pushAll( 100, 100, 400, 600, 100, 800 );\n\nconst peekValue = stack.peek();\nconsole.log(\"Peek Value is :\",peekValue);//800\n```\n\n####  pop() <a name=\"st-pop\"></a>\n\nRemoves and returns the top most element of the stack.\n```javascript\n\nimport { Stack } from  'structures-wiz';\n \nconst stack = new Stack();\n\nstack.pushAll( 100, 100, 400, 600, 100, 800 );\n\nstack.print(); //[ 100, 100, 400, 600, 100, 800 ]\n\nconst poppedValue = stack.pop(); \n\nconsole.log(\"Popped Value is :\",poppedValue);//800\n\nstack.print();//[ 100, 100, 400, 600, 100 ]\n```\n\n####  removeDuplicates() <a name=\"st-removeDuplicates\"></a>\n\nRemoves the duplicates elements of the stack.\n```javascript\n\nimport { Stack } from  'structures-wiz';\n \nconst stack = new Stack();\nstack.pushAll( 100, 100, 400, 600, 100, 800 );\n\nstack.print(); //[ 100, 100, 400, 600, 100, 800 ]\n\nstack.removeDuplicates();\n\nstack.print();//[ 100, 400, 600, 800 ]\n```\n\n####  clear() <a name=\"st-clear\"></a>\n\nRemoves all the elements of the stack.\n```javascript\n\nimport { Stack } from  'structures-wiz';\n \nconst stack = new Stack();\nstack.pushAll( 100, 100, 400, 600, 100, 800 );\n\nstack.print(); //[ 100, 100, 400, 600, 100, 800 ]\n\nstack.clear();\n\nstack.print();//[ ]\n```\n\n####  print() <a name=\"st-print\"></a>\n\nPrints the current stack state.\n```javascript\n\nimport { Stack } from  'structures-wiz';\n \nconst stack = new Stack();\nstack.pushAll( 100, 100, 400, 600, 100, 800 );\n\nstack.print(); //[ 100, 100, 400, 600, 100, 800 ]\n```\n\n### LinkedList <a name=\"ll\"></a>\n\n\n#### Instantiation <a name=\"ll-instantiation\"></a>\n\n```javascript\n\nimport { LinkedList } from 'structures-wiz';\n\n//Instantiates the LinkedList with no nodes\nconst linkedList = new LinkedList();\n\nlinkedList.print(); //Linked List is empty\n\n```\n\n#### Methods <a name=\"ll-methods\"></a>\n\nFollowing are the methods exposed for usage.\n\n#### getSize() <a name=\"sll-getSize\"></a>\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(2);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.addAtHead(9);\n\nconst size = linkedList.getSize();\nconsole.log(\"Size of the LinkedList is:\",size);//4\n```\n\n#### addAtHead(value) <a name=\"ll-addAtHead\"></a>\n\nMethod to add a value at the start of the LinkedList.\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(2);\n\nlinkedList.addAtHead(5);\n\nlinkedList.print(); // 5 -> 2 -> NULL\n```\n\n#### addAtTail(value) <a name=\"ll-addAtTail\"></a>\nMethod to add a value at the end of the LinkedList.\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(2);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.print(); // 5 -> 2 -> 15 -> NULL\n```\n\n#### removeAtHead(value) <a name=\"ll-removeAtHead\"></a>\n\nMethod to remove the value at the start of the LinkedList.\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(2);\n\nlinkedList.addAtHead(5);\n\nlinkedList.print(); // 5 -> 2 -> NULL\n\nlinkedList.removeAtHead(5);\n\nlinkedList.print(); // 2 -> NULL\n\n```\n\n#### removeAtTail(value) <a name=\"ll-removeAtTail\"></a>\nMethod to remove the value at the end of the LinkedList.\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(2);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.print(); // 5 -> 2 -> 15 -> NULL\n\nlinkedList.removeAtTail(5);\n\nlinkedList.print(); // 5 -> 2 -> NULL\n\n```\n\n#### print() <a name=\"ll-print\"></a>\nPrints the LinkedList.\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.print(); // Linked List is empty\n\nlinkedList.addAtHead(2);\nlinkedList.print(); // 2 -> NULL\n\nlinkedList.addAtHead(5);\nlinkedList.print(); //5 -> 2 -> NULL\n\nlinkedList.addAtTail(15);\nlinkedList.print(); // 5 -> 2 -> 15 -> NULL\n\nlinkedList.addAtHead(9);\nlinkedList.print(); //9 -> 5 -> 2 -> 15 -> NULL\n```\n\n#### sort() <a name=\"ll-sort\"></a>\nSorts the LinkedList.\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(22);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.print(); //5 -> 22 -> 15 -> NULL\n\nlinkedList.sort();\n\nlinkedList.print(); //5 -> 15 -> 22 -> NULL\n```\n\n#### getHead() <a name=\"ll-getHead\"></a>\nReturns the head node of the LinkedList\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(22);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.print(); //5 -> 22 -> 15 -> NULL\n\nconst currentHead = linkedList.getHead();\nconsole.log(\"Head Value:\",currentHead.val);//Head Value: 5 \n```\n\n#### getTail() <a name=\"ll-getTail\"></a>\nReturns the head node of the LinkedList\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(22);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.print(); //5 -> 22 -> 15 -> NULL\n\nconst currentTail = linkedList.getTail();\nconsole.log(\"Tail Value:\",currentHead.val);//Head Value: 15\n```\n\n\n#### getArray() <a name=\"ll-getArray\"></a>\nReturns the Linked list in array format\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(22);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.print(); //5 -> 22 -> 15 -> NULL\n\nconst array = linkedList.getArray();\nconsole.log(\"List converted to Array:\",array);//[5, 22, 15]\n```\n\n\n#### clear() <a name=\"ll-clear\"></a>\nClears the LinkedList\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(22);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.print(); //5 -> 22 -> 15 -> NULL\n\nlinkedList.clear();\nlinkedList.print()//Linked List is empty\n```\n\n\n#### mapRunner() <a name=\"ll-mapRunner\"></a>\nRuns a function passed to all the nodes of linked list and updates the value just like map method of an Array\n\n```javascript\nimport { LinkedList } from 'structures-wiz';\n\nfunction double(node){\n  node.val *= 2;\n}\n\nconst linkedList = new LinkedList();\n\nlinkedList.addAtHead(22);\n\nlinkedList.addAtHead(5);\n\nlinkedList.addAtTail(15);\n\nlinkedList.print(); //5 -> 22 -> 15 -> NULL\n\nlinkedList.mapRunner(double);\nlinkedList.print()//10 -> 44 -> 30 -> NULL\n```\n\n## Contribute\n\nPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.\n\n  \n\nPlease make sure to update tests as appropriate.\n\n  \n\n## License\n\n[MIT](https://choosealicense.com/licenses/mit/)\n","readmeFilename":"README.md"}