JSPM

trie-typed

1.53.6
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  • License MIT

Trie, Prefix tree. Javascript & Typescript Data Structure.

Package Exports

  • trie-typed
  • trie-typed/dist/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (trie-typed) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

NPM GitHub top language npm eslint npm bundle size npm bundle size npm

What

Brief

This is a standalone Trie 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 trie-typed --save

yarn

yarn add trie-typed

snippet

API docs & Examples

API Docs

Live Examples

Examples Repository

Data Structures

Data Structure Unit Test Performance Test API Docs
Trie Trie

Standard library data structure comparison

Data Structure Typed C++ STL java.util Python collections
Trie - - -

Benchmark

trie
test nametime taken (ms)executions per secsample deviation
100,000 push45.9721.760.00
100,000 getWords66.2015.110.00

Built-in classic algorithms

Algorithm Function Description Iteration Type

Software Engineering Design Standards

Principle Description
Practicality Follows ES6 and ESNext standards, offering unified and considerate optional parameters, and simplifies method names.
Extensibility Adheres to OOP (Object-Oriented Programming) principles, allowing inheritance for all data structures.
Modularization Includes data structure modularization and independent NPM packages.
Efficiency All methods provide time and space complexity, comparable to native JS performance.
Maintainability Follows open-source community development standards, complete documentation, continuous integration, and adheres to TDD (Test-Driven Development) patterns.
Testability Automated and customized unit testing, performance testing, and integration testing.
Portability Plans for porting to Java, Python, and C++, currently achieved to 80%.
Reusability Fully decoupled, minimized side effects, and adheres to OOP.
Security Carefully designed security for member variables and methods. Read-write separation. Data structure software does not need to consider other security aspects.
Scalability Data structure software does not involve load issues.