Metadata-Version: 2.4
Name: lovely-ctypes
Version: 0.0.1
Summary: Visualize and compare nested C structures and arrays in Python
Home-page: https://github.com/xl0/lovely-ctypes
Author: Alexey
Author-email: alexey.zaytsev@gmail.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
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: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev
Requires-Dist: nbdev; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
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# Lovely ctypes


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

[![](https://alexey.work/badge/)](https://alexey.work/)

This file will become your README and also the index of your
documentation.

## Developer Guide

If you are new to using `nbdev` here are some useful pointers to get you
started.

### Install pretty_ctypes in Development mode

``` sh
# make sure pretty_ctypes package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to pretty_ctypes
$ nbdev_prepare
```

## Usage

### Installation

Install latest from the GitHub
[repository](https://github.com/xl0/pretty-ctypes):

``` sh
$ pip install git+https://github.com/xl0/pretty-ctypes.git
```

or from [conda](https://anaconda.org/xl0/pretty-ctypes)

``` sh
$ conda install -c xl0 pretty_ctypes
```

or from [pypi](https://pypi.org/project/pretty-ctypes/)

``` sh
$ pip install pretty_ctypes
```

### Documentation

Documentation can be found hosted on this GitHub
[repository](https://github.com/xl0/pretty-ctypes)’s
[pages](https://xl0.github.io/pretty-ctypes/). Additionally you can find
package manager specific guidelines on
[conda](https://anaconda.org/xl0/pretty-ctypes) and
[pypi](https://pypi.org/project/pretty-ctypes/) respectively.

## How to use

Fill me in please! Don’t forget code examples:

``` python
1+1
```

    2
