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Combined Min Heap and Max Heap classes #1494

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151 changes: 151 additions & 0 deletions Data-Structures/Heap/BinaryHeap.js
Original file line number Diff line number Diff line change
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/**
* BinaryHeap class represents a binary heap data structure that can be configured as a Min Heap or Max Heap.
*
* Binary heaps are binary trees that are filled level by level and from left to right inside each level.
* They have the property that any parent node has a smaller (for Min Heap) or greater (for Max Heap) priority
* than its children, ensuring that the root of the tree always holds the extremal value.
*/
class BinaryHeap {
/**
* Creates a new BinaryHeap instance.
* @constructor
* @param {Function} comparatorFunction - The comparator function used to determine the order of elements (e.g., minHeapComparator or maxHeapComparator).
*/
constructor(comparatorFunction) {
/**
* The heap array that stores elements.
* @member {Array}
*/
this.heap = []

/**
* The comparator function used for ordering elements in the heap.
* @member {Function}
*/
this.comparator = comparatorFunction
}

/**
* Inserts a new value into the heap.
* @param {*} value - The value to be inserted into the heap.
*/
insert(value) {
this.heap.push(value)
this.#bubbleUp(this.heap.length - 1)
}

/**
* Returns the number of elements in the heap.
* @returns {number} - The number of elements in the heap.
*/
size() {
return this.heap.length
}

/**
* Checks if the heap is empty.
* @returns {boolean} - True if the heap is empty, false otherwise.
*/
empty() {
return this.size() === 0
}

/**
* Bubbles up a value from the specified index to maintain the heap property.
* @param {number} currIdx - The index of the value to be bubbled up.
* @private
*/
#bubbleUp(currIdx) {
let parentIdx = Math.floor((currIdx - 1) / 2)

while (
currIdx > 0 &&
this.comparator(this.heap[currIdx], this.heap[parentIdx])
) {
this.#swap(currIdx, parentIdx)
currIdx = parentIdx
parentIdx = Math.floor((currIdx - 1) / 2)
}
}

/**
* Sinks down a value from the specified index to maintain the heap property.
* @param {number} currIdx - The index of the value to be sunk down.
* @private
*/
#sinkDown(currIdx) {
let childOneIdx = currIdx * 2 + 1

while (childOneIdx < this.size()) {
const childTwoIdx = childOneIdx + 1 < this.size() ? childOneIdx + 1 : -1
const swapIdx =
childTwoIdx !== -1 &&
this.comparator(this.heap[childTwoIdx], this.heap[childOneIdx])
? childTwoIdx
: childOneIdx

if (this.comparator(this.heap[swapIdx], this.heap[currIdx])) {
this.#swap(currIdx, swapIdx)
currIdx = swapIdx
childOneIdx = currIdx * 2 + 1
} else {
return
}
}
}

/**
* Retrieves the top element of the heap without removing it.
* @returns {*} - The top element of the heap.
*/
peek() {
return this.heap[0]
}

/**
* Removes and returns the top element of the heap.
* @returns {*} - The top element of the heap.
*/
extractTop() {
const top = this.peek()
const last = this.heap.pop()

if (!this.empty()) {
this.heap[0] = last
this.#sinkDown(0)
}

return top
}

/**
* Swaps elements at two specified indices in the heap.
* @param {number} index1 - The index of the first element to be swapped.
* @param {number} index2 - The index of the second element to be swapped.
* @private
*/
#swap(index1, index2) {
;[this.heap[index1], this.heap[index2]] = [
this.heap[index2],
this.heap[index1]
]
}
}

/**
* Comparator function for creating a Min Heap.
* @param {*} a - The first element to compare.
* @param {*} b - The second element to compare.
* @returns {boolean} - True if 'a' should have higher priority than 'b' in the Min Heap, false otherwise.
*/
const minHeapComparator = (a, b) => a < b

/**
* Comparator function for creating a Max Heap.
* @param {*} a - The first element to compare.
* @param {*} b - The second element to compare.
* @returns {boolean} - True if 'a' should have higher priority than 'b' in the Max Heap, false otherwise.
*/
const maxHeapComparator = (a, b) => a > b

export { BinaryHeap, minHeapComparator, maxHeapComparator }
85 changes: 0 additions & 85 deletions Data-Structures/Heap/MaxHeap.js

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127 changes: 0 additions & 127 deletions Data-Structures/Heap/MinHeap.js

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