Metadata-Version: 1.1
Name: playrandom
Version: 0.0.1
Summary: command line tool to play random media from given folders
Home-page: https://github.com/terhorstd/playrandom
Author: Dennis Terhorst
Author-email: d.terhorst@fz-juelich.de
License: BSD
Description: 
        # playrandom
        
           This tool is a command-line interface to `mplayer` that uses directories as
           playlists. Media files are played in random order until all files are
           played, then successively the least recent files are released to enable a
           loop in random order.
        
        # Install
        
           The fastest way to install playrandom is to use your systems tools:
        
            pip install playrandom
        
        
        ## Requirements
        
           All python required packages are listed in `environment.yaml`. In case you
           installed playrandom via a package management system like pip, anaconda,
           miniconda, ... all dependencies should already be installed automatically.
           The only "external" dependency is [mplayer](http://www.mplayerhq.hu), which
           is usually installable by your systems package manager (apt, yum, ...).
        
        
        # Getting Started
        
           After installation run `playrandom --help` to get a first overview of
           command line options and usage.
        
        
        # Developing playrandom
        
           Contributions are very welcome! Write issues for feature requests or
           directly file a pull-request with your contribution and/or contact me
           directly!
        
        
        ## Tests
        
           This project uses the [PyTest framework](https://docs.pytest.org/en/latest/)
           with tests defined in the [tests/](tests/) sudirectory. It is added into the
           setuptools config, so that it can be run with
        
            python setup.py test
        
           This automatically tests a temporarily packaged version.
        
           Alternatively you can run `pytest` manually with all it [glory
           details](https://docs.pytest.org/en/latest/usage.html).
        
        
        ## Releases
        
           The release workflow is mostly automated and is in the [release/](release/)
           folder.
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Multimedia :: Sound/Audio
