Metadata-Version: 2.4
Name: close-paving
Version: 0.1
Summary: toolkit for hexagonal grid
Home-page: https://gitee.com/hoops/close-paving
Author: A.Star
Author-email: astar@snowland.ltd
Maintainer: A.Star
Maintainer-email: astar@snowland.ltd
License: Apache v2.0
Platform: all
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: Implementation
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: astartool>=0.1
Requires-Dist: numpy
Requires-Dist: matplotlib
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: maintainer
Dynamic: maintainer-email
Dynamic: platform
Dynamic: requires-dist
Dynamic: summary

# honeycomb

#### Description

Hexagonal Grid.

#### Software Architecture
Software architecture description

- core
- kernel
- plot_helper


#### Installation

1.  Pypi
```commandline
python install close-paving
```

2.  Source code

- clone repo
```commandline
git clone https://gitcode.net/astar/a.star/close-paving.git
```

or 

```commandline
git clone https://gitee.com/hoops/close-paving.git
```

- cd close_paving
```commandline
cd close_paving
```
- download requirements.txt
```commandline
pip install -r requirements.txt
```
- run commandline
```commandline
python setup.py install
```



#### how to use

![direction type](./docs/images/direction.png)



#### contribute

1.  Fork repo
2.  create feature `Feat_xxx`
3.  commit 
4.  create `Pull Request`

