1
0
mirror of https://github.com/moparisthebest/SickRage synced 2024-12-14 20:12:19 -05:00
SickRage/lib/unrar2/PKG-INFO
echel0n 0d9fbc1ad7 Welcome to our SickBeard-TVRage Edition ...
This version of SickBeard uses both TVDB and TVRage to search and gather it's series data from allowing you to now have access to and download shows that you couldn't before because of being locked into only what TheTVDB had to offer.

Also this edition is based off the code we used in our XEM editon so it does come with scene numbering support as well as all the other features our XEM edition has to offer.

Please before using this with your existing database (sickbeard.db) please make a backup copy of it and delete any other database files such as cache.db and failed.db if present, we HIGHLY recommend starting out with no database files at all to make this a fresh start but the choice is at your own risk!

Enjoy!
2014-03-09 22:39:12 -07:00

28 lines
1.2 KiB
Plaintext

Metadata-Version: 1.1
Name: pyUnRAR2
Version: 0.99.3
Summary: Improved Python wrapper around the free UnRAR.dll
Home-page: http://code.google.com/py-unrar2
Author: Konstantin Yegupov
Author-email: yk4ever@gmail.com
License: MIT
Description: pyUnRAR2 is a ctypes based wrapper around the free UnRAR.dll.
It is an modified version of Jimmy Retzlaff's pyUnRAR - more simple,
stable and foolproof.
Notice that it has INCOMPATIBLE interface.
It enables reading and unpacking of archives created with the
RAR/WinRAR archivers. There is a low-level interface which is very
similar to the C interface provided by UnRAR. There is also a
higher level interface which makes some common operations easier.
Platform: Windows
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Win32 (MS Windows)
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: System :: Archiving :: Compression