Metadata-Version: 1.1
Name: BoxKit
Version: 0.2
Summary: BoxKit Utility
Home-page: UNKNOWN
Author: Akash Dhruv
Author-email: UNKNOWN
License: MIT License
Description: BoxKit
        =========
        
        |Code style: black|
        
        |FlashX| |FlowX| |Minimal| |Publish|
        
        Introduction
        ------------
        
        BoxKit is a library that provides building blocks to parallelize and
        scale data science, high performance computing, and machine learning
        applications for block-structured spatial datasets. 
        
        Spatial data from simulations and experiments can be organized and managed using the tools available in this library. 
        
        The library is designed into two broad categories:
        
        **CREATE** - contains classes/structures to store spatial data in a rectangular/cubic frame, along with auxillary tools to manage irregular geometries composed of unstructured triangular mesh.
        
        **UTILITIES** - contains classes/structures to improve memory managment of data on NUMA nodes.
        
        This library is designed to facilitate the use of scientific datasets with more data analysis oriented packages.
        
        Installation
        ------------
        
        Installation instructions
        
        Using Containers
        ----------------
        
        Description for using MAPLE containers
        
        Examples
        --------
        
        Example tests/scripts
        
        .. |Code style: black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
           :target: https://github.com/psf/black
        .. |FlashX| image:: https://github.com/akashdhruv/BoxKit/workflows/FlashX/badge.svg
        .. |FlowX| image:: https://github.com/akashdhruv/BoxKit/workflows/FlowX/badge.svg
        .. |Minimal| image:: https://github.com/akashdhruv/BoxKit/workflows/Minimal/badge.svg
        .. |Publish| image:: https://github.com/akashdhruv/BoxKit/workflows/Publish/badge.svg
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
