Gathering detailed insights and metrics for @datastructures-js/heap
Gathering detailed insights and metrics for @datastructures-js/heap
Gathering detailed insights and metrics for @datastructures-js/heap
Gathering detailed insights and metrics for @datastructures-js/heap
@datastructures-js/priority-queue
A heap-based implementation of priority queue in javascript with typescript support.
datastructures-js
production-ready data structures implementation in javascript & typescript.
heap-typed
Heap. Javascript & Typescript Data Structure.
@datastructures-js/max-heap
max heap implementation in javascript
npm install @datastructures-js/heap
Typescript
Module System
Node Version
NPM Version
99.7
Supply Chain
100
Quality
76.1
Maintenance
100
Vulnerability
100
License
@datastructures-js/heap-v4.3.3
Published on 08 Jan 2024
@datastructures-js/heap-v4.3.2
Published on 20 Jun 2023
@datastructures-js/heap-v4.3.1
Published on 08 Jan 2023
@datastructures-js/heap-v4.3.0
Published on 08 Jan 2023
@datastructures-js/heap-v4.2.2
Published on 24 Dec 2022
@datastructures-js/heap-v4.2.1
Published on 23 Dec 2022
JavaScript (100%)
Total Downloads
13,669,743
Last Day
112,546
Last Week
517,082
Last Month
1,718,673
Last Year
10,624,227
85 Stars
250 Commits
18 Forks
3 Watching
1 Branches
4 Contributors
Minified
Minified + Gzipped
Latest Version
4.3.3
Package Id
@datastructures-js/heap@4.3.3
Unpacked Size
35.21 kB
Size
7.57 kB
File Count
12
NPM Version
6.14.5
Node Version
14.4.0
Publised On
08 Jan 2024
Cumulative downloads
Total Downloads
Last day
51.1%
112,546
Compared to previous day
Last week
16.2%
517,082
Compared to previous week
Last month
20.4%
1,718,673
Compared to previous month
Last year
332.2%
10,624,227
Compared to previous year
A javascript implementation for Heap data structure. Heap base class allows creating heaps using a custom compare function, and MinHeap/MaxHeap classes extend it for use cases that do not require complex comparison like primitive values and known comparison object prop.
1npm install --save @datastructures-js/heap
1const { Heap, MinHeap, MaxHeap } = require('@datastructures-js/heap');
1import { 2 Heap, 3 MinHeap, 4 MaxHeap, 5 ICompare, 6 IGetCompareValue, 7} from '@datastructures-js/heap';
constructor requires a compare function that tells the heap when to swap values. Function works similar to javascript sort callback, bigger than 0, means, swap elements.
1interface ICar { 2 year: number; 3 price: number; 4} 5 6const compareCars: ICompare<ICar> = (a: ICar, b: ICar) => { 7 if (a.year > b.year) { 8 return -1; 9 } 10 if (a.year < b.year) { 11 // prioratize newest cars 12 return 1; 13 } 14 // with least price 15 return a.price < b.price ? -1 : 1; 16}; 17 18const carsHeap = new Heap<ICar>(compareCars);
1const compareCars = (a, b) => { 2 if (a.year > b.year) { 3 return -1; 4 } 5 if (a.year < b.year) { 6 // prioratize newest cars 7 return 1; 8 } 9 // with least price 10 return a.price < b.price ? -1 : 1; 11}; 12 13const carsHeap = new Heap(compareCars);
constructor does not require a compare function and it's useful when working with primitive values like numbers, it can also be used with objects by passing a callback that indicates what object prop will be used in comparison.
1const numbersHeap = new MinHeap<number>(); 2 3interface IBid { 4 id: number; 5 value: number; 6} 7const getBidCompareValue: IGetCompareValue<IBid> = (bid: IBid) => bid.value; 8const bidsHeap = new MaxHeap<IBid>(getBidCompareValue);
1const numbersHeap = new MinHeap(); 2const bidsHeap = new MaxHeap((bid) => bid.value);
inserts a value in a correct position into the heap in O(log(n)) runtime.
1const cars = [ 2 { year: 2013, price: 35000 }, 3 { year: 2010, price: 2000 }, 4 { year: 2013, price: 30000 }, 5 { year: 2017, price: 50000 }, 6 { year: 2013, price: 25000 }, 7 { year: 2015, price: 40000 }, 8 { year: 2022, price: 70000 } 9]; 10cars.forEach((car) => carsHeap.insert(car)); 11 12const numbers = [3, -2, 5, 0, -1, -5, 4]; 13numbers.forEach((num) => numbersHeap.push(num)); 14 15const bids = [ 16 { id: 1, value: 1000 }, 17 { id: 2, value: 20000 }, 18 { id: 3, value: 1000 }, 19 { id: 4, value: 1500 }, 20 { id: 5, value: 12000 }, 21 { id: 6, value: 4000 }, 22 { id: 7, value: 8000 } 23]; 24bids.forEach((bid) => bidsHeap.insert(bid));
removes and returns the root (top) value of the heap in O(log(n)) runtime.
1while (!carsHeap.isEmpty()) { 2 console.log(carsHeap.extractRoot()); 3} 4/* 5{ year: 2022, price: 70000 } 6{ year: 2017, price: 50000 } 7{ year: 2015, price: 40000 } 8{ year: 2013, price: 25000 } 9{ year: 2013, price: 30000 } 10{ year: 2013, price: 35000 } 11{ year: 2010, price: 2000 } 12*/ 13 14while (!numbersHeap.isEmpty()) { 15 console.log(numbersHeap.pop()); 16} 17/* 18-5 19-2 20-1 210 223 234 245 25*/ 26 27while (!bidsHeap.isEmpty()) { 28 console.log(bidsHeap.extractRoot()); 29} 30/* 31{ id: 2, value: 20000 } 32{ id: 5, value: 12000 } 33{ id: 7, value: 8000 } 34{ id: 6, value: 4000 } 35{ id: 4, value: 1500 } 36{ id: 3, value: 1000 } 37{ id: 1, value: 1000 } 38*/
returns the root node without removing it.
1// reload values 2cars.forEach((car) => carsHeap.insert(car)); 3numbers.forEach((num) => numbersHeap.insert(num)); 4bids.forEach((bid) => bidsHeap.insert(bid)); 5 6console.log(carsHeap.root()); // { year: 2022, price: 70000 } 7console.log(numbersHeap.top()); // -5 8console.log(bidsHeap.top()); // { id: 2, value: 20000 }
returns a leaf node in the heap.
1console.log(carsHeap.leaf()); // { year: 2010, price: 2000 } 2console.log(numbersHeap.leaft()); // 5 3console.log(bidsHeap.leaf()); // { id: 1, value: 1000 }
returns the number of nodes in the heap.
1console.log(carsHeap.size()); // 7 2console.log(numbersHeap.size()); // 7 3console.log(bidsHeap.size()); // 7
returns a list of sorted values in O(n*log(n)) runtime, based on the comparison logic, and in reverse order. In MaxHeap it returns the list of sorted values in ascending order, and in descending order in MinHeap. sort mutates the node positions in the heap, to prevent that, you can sort a clone of the heap.
1console.log(carsHeap.sort()); 2/* 3[ 4 { year: 2010, price: 2000 }, 5 { year: 2013, price: 35000 }, 6 { year: 2013, price: 30000 }, 7 { year: 2013, price: 25000 }, 8 { year: 2015, price: 40000 }, 9 { year: 2017, price: 50000 }, 10 { year: 2022, price: 70000 } 11] 12*/ 13 14console.log(numbersHeap.sort()); 15// [5, 4, 3, 0, -1, -2, -5] 16 17console.log(bidsHeap.sort()); 18/* 19[ 20 { id: 1, value: 1000 }, 21 { id: 3, value: 1000 }, 22 { id: 4, value: 1500 }, 23 { id: 6, value: 4000 }, 24 { id: 7, value: 8000 }, 25 { id: 5, value: 12000 }, 26 { id: 2, value: 20000 } 27] 28*/
checks if the heap is valid (all nodes are positioned correctly) in log(n) runtime.
1// after sorting the heaps directly, node positions are mutated 2console.log(carsHeap.isValid()); // false 3console.log(numbersHeap.isValid()); // false 4console.log(bidsHeap.isValid()); // false
fixes the heap by making the necessary swaps between nodes in O(n) runtime.
1console.log(carsHeap.fix().isValid()); // true 2 3console.log(numbersHeap.fix().isValid()); // true 4 5console.log(bidsHeap.fix().isValid()); // true
creates a shallow copy of the heap.
1console.log(carsHeap.clone().sort()); 2/* 3[ 4 { year: 2010, price: 2000 }, 5 { year: 2013, price: 35000 }, 6 { year: 2013, price: 30000 }, 7 { year: 2013, price: 25000 }, 8 { year: 2015, price: 40000 }, 9 { year: 2017, price: 50000 }, 10 { year: 2022, price: 70000 } 11] 12*/ 13 14console.log(numbersHeap.clone().sort()); 15// [5, 4, 3, 0, -1, -2, -5] 16 17console.log(bidsHeap.clone().sort()); 18/* 19[ 20 { id: 1, value: 1000 }, 21 { id: 3, value: 1000 }, 22 { id: 4, value: 1500 }, 23 { id: 6, value: 4000 }, 24 { id: 7, value: 8000 }, 25 { id: 5, value: 12000 }, 26 { id: 2, value: 20000 } 27] 28*/ 29 30// original heaps not mutated 31console.log(carsHeap.isValid()); // true 32console.log(numbersHeap.isValid()); // true 33console.log(bidsHeap.isValid()); // true
clears the heap.
1carsHeap.clear(); 2numbersHeap.clear(); 3bidsHeap.clear(); 4 5console.log(carsHeap.size()); // 0 6console.log(numbersHeap.size()); // 0 7console.log(bidsHeap.size()); // 0
converts a list of values into a heap without using an additional space in O(n) runtime.
1const heapifiedCars = Heap.heapify<ICar>(cars, compareCars); 2console.log(heapifiedCars.isValid()); // true 3// list is heapified 4console.log(cars); 5/* 6[ 7 { year: 2022, price: 70000 }, 8 { year: 2013, price: 25000 }, 9 { year: 2017, price: 50000 }, 10 { year: 2010, price: 2000 }, 11 { year: 2013, price: 30000 }, 12 { year: 2013, price: 35000 }, 13 { year: 2015, price: 40000 } 14] 15*/ 16 17const heapifiedNumbers = MinHeap.heapify<number>(numbers); 18console.log(heapifiedNumbers.isValid()); // true 19console.log(numbers); 20// [-5, -1, -2, 3, 0, 5, 4] 21 22const heapifiedBids = MaxHeap.heapify<IBid>(bids, (bid) => bid.value); 23console.log(heapifiedBids.isValid()); // true 24console.log(bids); 25/* 26[ 27 { id: 2, value: 20000 }, 28 { id: 5, value: 12000 }, 29 { id: 7, value: 8000 }, 30 { id: 1, value: 1000 }, 31 { id: 4, value: 1500 }, 32 { id: 3, value: 1000 }, 33 { id: 6, value: 4000 } 34] 35*/
1const heapifiedCars = Heap.heapify(cars, compareCars); 2console.log(heapifiedCars.isValid()); // true 3console.log(heapifiedCars.leaf()); // { year: 2010, price: 2000 } 4 5// original list is heapified 6console.log(cars); 7/* 8[ 9 { year: 2022, price: 70000 }, 10 { year: 2013, price: 25000 }, 11 { year: 2017, price: 50000 }, 12 { year: 2010, price: 2000 }, 13 { year: 2013, price: 30000 }, 14 { year: 2013, price: 35000 }, 15 { year: 2015, price: 40000 } 16] 17*/ 18 19const heapifiedNumbers = MinHeap.heapify(numbers); 20console.log(heapifiedNumbers.isValid()); // true 21console.log(heapifiedNumbers.leaf()); // 5 22console.log(numbers); 23// [-5, -1, -2, 3, 0, 5, 4] 24 25const heapifiedBids = MaxHeap.heapify(bids, (bid) => bid.value); 26console.log(heapifiedBids.isValid()); // true 27console.log(heapifiedBids.leaf()); // { id: 1, value: 1000 } 28console.log(bids); 29/* 30[ 31 { id: 2, value: 20000 }, 32 { id: 5, value: 12000 }, 33 { id: 7, value: 8000 }, 34 { id: 1, value: 1000 }, 35 { id: 4, value: 1500 }, 36 { id: 3, value: 1000 }, 37 { id: 6, value: 4000 } 38] 39*/
Checks if a given list is heapified.
1console.log(Heap.isHeapified<ICar>(cars, compareCars)); // true
2console.log(MinHeap.isHeapified<number>(numbers)); // true
3console.log(MaxHeap.isHeapified<IBid>(bids, (bid) => bid.value)); // true
1console.log(Heap.isHeapified(cars, compareCars)); // true
2console.log(MinHeap.isHeapified(numbers)); // true
3console.log(MaxHeap.isHeapified(bids, (bid) => bid.value)); // true
The heaps implement a Symbol.iterator that makes them iterable on pop
.
1console.log([...carsHeap]); 2/* 3[ 4 { year: 2022, price: 70000 }, 5 { year: 2017, price: 50000 }, 6 { year: 2015, price: 40000 }, 7 { year: 2013, price: 25000 }, 8 { year: 2013, price: 30000 }, 9 { year: 2013, price: 35000 }, 10 { year: 2010, price: 2000 } 11] 12*/ 13console.log(carsHeap.size()); // 0 14 15console.log([...numbersHeap]); // [5, -5, -2, -1, 0, 3, 4] 16console.log(numbersHeap.size()); // 0 17 18for (const bid of bidsHeap) { 19 console.log(bid); 20} 21/* 22{ id: 2, value: 20000 } 23{ id: 5, value: 12000 } 24{ id: 7, value: 8000 } 25{ id: 6, value: 4000 } 26{ id: 4, value: 1500 } 27{ id: 1, value: 1000 } 28{ id: 3, value: 1000 } 29*/ 30console.log(bidsHeap.size()); // 0
Converts the heap to a cloned array without sorting.
1console.log(carsHeap.toArray()); 2/* 3[ 4 { year: 2022, price: 70000 }, 5 { year: 2017, price: 50000 }, 6 { year: 2015, price: 40000 }, 7 { year: 2013, price: 25000 }, 8 { year: 2013, price: 30000 }, 9 { year: 2013, price: 35000 }, 10 { year: 2010, price: 2000 } 11] 12*/ 13 14 15console.log(numbersHeap.toArray()); // [5, -5, -2, -1, 0, 3, 4] 16 17console.log(bidsHeap.toArray()); 18 19/* 20[ 21{ id: 2, value: 20000 }, 22{ id: 5, value: 12000 }, 23{ id: 7, value: 8000 }, 24{ id: 6, value: 4000 }, 25{ id: 4, value: 1500 }, 26{ id: 1, value: 1000 }, 27{ id: 3, value: 1000 } 28] 29*/ 30
grunt build
The MIT License. Full License is here
No vulnerabilities found.
Reason
no dangerous workflow patterns detected
Reason
no binaries found in the repo
Reason
0 existing vulnerabilities detected
Reason
license file detected
Details
Reason
Found 2/16 approved changesets -- score normalized to 1
Reason
detected GitHub workflow tokens with excessive permissions
Details
Reason
dependency not pinned by hash detected -- score normalized to 0
Details
Reason
0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Reason
no effort to earn an OpenSSF best practices badge detected
Reason
security policy file not detected
Details
Reason
project is not fuzzed
Details
Reason
branch protection not enabled on development/release branches
Details
Reason
SAST tool is not run on all commits -- score normalized to 0
Details
Score
Last Scanned on 2025-02-03
The Open Source Security Foundation is a cross-industry collaboration to improve the security of open source software (OSS). The Scorecard provides security health metrics for open source projects.
Learn More