Log message:
update to 1.2.1
changes:
-internal refactoring to the way that we calculate and process distance
 scores in the autotagger
-Python-2.6 compatibility fixes, other minor fixes

Log message:
update to 1.2.0
changes:
-allow additional data sources to augment the matches from MusicBrainz
-New Duplicates Plugin, Missing Plugin
-more feature additions and fixes

Log message:
update to 1.1.0
changes:
-configuration file is YAML now, many new and changed options
-new and renamed plugins
-improved support for mp3g4/aac/asf files
-many fixes and improvements

pkgsrc change: installs without python version specific prefix/suffix

Log message:
fix for Python!=2.7, needs sqlite3

Log message:
Import py-beets-1.0.0 as audio/py-beets.

Beets is the best command-line tool for viewing, querying, renaming,
and updating your music collection.

The purpose of beets is to get your music collection right once
and for all. It catalogs your collection, automatically improving
its metadata as it goes using the MusicBrainz database. (It also
downloads cover art for albums it imports.) Then it provides a
bouquet of tools for manipulating and accessing your music.

Because beets is designed as a library, it can do almost anything
you can imagine for your music collection. Via plugins, beets
becomes a panacea:

  * Embed and extract album art from files' tags.
  * Listen to your library with a music player that speaks the MPD
    protocol and works with a staggering variety of interfaces.
  * Fetch lyrics for all your songs from databases on the Web.
  * Manage your MusicBrainz music collection.
  * Analyze music files' metadata from the command line.
  * Clean up crufty tags left behind by other, less-awesome tools.
  * Browse your music library graphically through a Web browser
    and play it in any browser that supports HTML5 Audio.