Skip to content

Latest commit

 

History

History
123 lines (79 loc) · 3.26 KB

README.md

File metadata and controls

123 lines (79 loc) · 3.26 KB

ShuJu

License: GPL v3 Maven Central Snyk security score Snyk Known Vulnerabilities Test Build Servier Inspired

A collection of various algorithms implemented in Java covering domains such as mathematics and data science.

Description

Mathematics

  • Geometry Algebra: a package to build and use geomatry algebra in Java.
  • CV: a package to extract shapes from image.

Data Science

  • BigData: a Java list implementation with chunks and backed memory mapped.
  • Core: a Java implementation of multi-dimentional array (ala ndarray).
  • Op: various mathematical algorithms on multi-dimentional array.
  • Preprocessing: a Java implemetation of some keras text preprocessing functions.
  • Strings: a Java implemenation of some algorithms (fuzzy search) on String.

Others

  • Json: an agnostic wrapper to json frameworks.
  • Commons: A Java-Python binder managing virutal environamnt and package installation.
  • Redux: A min Java implementation of the Redux pattern.

Getting Started

Dependencies

  • The Java Developer Kit, version 17.
  • Apache Maven, version 3.0 or above.

Apache Maven Installation

For more details, see the Installation Guide.

Update dependencies

Run the following command line:

mvn -DcreateChecksum=true versions:display-dependency-updates

Update pom.xml plugins

Run the following command line:

mvn -DcreateChecksum=true versions:display-plugin-updates

Build and install locally

Run the following command line:

mvn clean install

Build and deploy a snapshot to the Maven repository

Run the following command line:

mvn -P snapshot clean deploy

Build and deploy a release to the Maven repository

Run the following command line:

mvn -P release clean deploy

Build the javadoc documentation

Run the following command line:

mvn -P documentation clean site site:stage

Do not forget to configure the GitHub authentication in ~/.m2/settings.xml as follow:

<server>
    <id>github</id>
    <password>PERSONAL_TOKEN_CLASSIC</password>
</server>

Documentation

The following links will give you documentation about some background information, takes you through some implementation details, and then focuses on step-by-step instructions for getting the most out of Any2Json:

  • API Reference: here.

Contribute

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

Authors

Version History

  • 1.23
  • ...
  • Initial Release