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max-priority-queue-typed

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max-priority-queue-typed

Max Priority Queue. Javascript & Typescript Data Structure.

  • 1.54.1
  • Source
  • npm
  • Socket score

Version published
Weekly downloads
185
decreased by-57.08%
Maintainers
0
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NPM GitHub top language npm eslint npm bundle size npm bundle size npm

What

Brief

This is a standalone Max Priority Queue data structure from the data-structure-typed collection. If you wish to access more data structures or advanced features, you can transition to directly installing the complete data-structure-typed package

How

install

npm

npm i max-priority-queue --save

yarn

yarn add max-priority-queue

snippet

API docs & Examples

API Docs

Live Examples

Examples Repository

Data Structures

Data StructureUnit TestPerformance TestAPI Docs
Max Priority QueueMaxPriorityQueue

Standard library data structure comparison

Data Structure TypedC++ STLjava.utilPython collections
PriorityQueue<E>priority_queue<T>PriorityQueue<E>-

Benchmark

max-priority-queue
test nametime taken (ms)executions per secsample deviation
10,000 refill & poll8.91112.292.26e-4
priority-queue
test nametime taken (ms)executions per secsample deviation
100,000 add & pop103.599.650.00

Built-in classic algorithms

AlgorithmFunction DescriptionIteration Type

Software Engineering Design Standards

PrincipleDescription
PracticalityFollows ES6 and ESNext standards, offering unified and considerate optional parameters, and simplifies method names.
ExtensibilityAdheres to OOP (Object-Oriented Programming) principles, allowing inheritance for all data structures.
ModularizationIncludes data structure modularization and independent NPM packages.
EfficiencyAll methods provide time and space complexity, comparable to native JS performance.
MaintainabilityFollows open-source community development standards, complete documentation, continuous integration, and adheres to TDD (Test-Driven Development) patterns.
TestabilityAutomated and customized unit testing, performance testing, and integration testing.
PortabilityPlans for porting to Java, Python, and C++, currently achieved to 80%.
ReusabilityFully decoupled, minimized side effects, and adheres to OOP.
SecurityCarefully designed security for member variables and methods. Read-write separation. Data structure software does not need to consider other security aspects.
ScalabilityData structure software does not involve load issues.

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Package last updated on 30 Nov 2024

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