<commit_before>Title: Fingerprinter

<div class="rightimg">

![Screenshot](/static/fingerprinter-gnome-small.png)

</div>

Acoustid fingerprinter is a cross-platform GUI application that uses
[Chromaprint][chp] to submit audio fingerprints from your music collection
to the Acoustid database. Only tagged audio files are submitted. Files
tagged by MusicBrainz applications such as [Picard][picard] or [Jaikoz][jaikoz]
are preferred, but it will submit fingerprints for any files that have tags
such as track title, artist name, album name, etc.

[chp]: /chromaprint
[picard]: http://musicbrainz.org/doc/Picard
[jaikoz]: http://www.jthink.net/jaikoz/

### Download

Latest release &mdash; 0.2 (Jun 26, 2011)

 * [Source code][src]
 * Packages
     * [Windows][win]
     * [Mac OS X][osx]
     * [Arch Linux](http://aur.archlinux.org/packages.php?ID=46359)
     * [Debian](http://packages.debian.org/acoustid-fingerprinter)
     * [Gentoo](http://proaudio.tuxfamily.org/wiki/index.php?title=Usage) (Pro-Audio Gentoo overlay)
     * [Ubuntu][ppa]

[src]: https://github.com/downloads/lalinsky/acoustid-fingerprinter/acoustid-fingerprinter-0.2.tar.gz
[win]: https://github.com/downloads/lalinsky/acoustid-fingerprinter/acoustid-fingerprinter-0.2-win32.zip
[osx]: https://github.com/downloads/lalinsky/acoustid-fingerprinter/acoustid-fingerprinter-0.2-mac.dmg
[ppa]: https://launchpad.net/~luks/+archive/acoustid

### Development

You can dowload the development version of the source code from [GitHub][gh].
Either you can use [Git][git] to clone the repository or download a
zip/tar.gz file with the latest version.

The source code is licensed under the [GPL2+ license][gpl].

[gpl]: http://www.gnu.org/licenses/gpl-2.0.html
[gh]: https://github.com/lalinsky/acoustid-fingerprinter
[git]: http://git-scm.com/
<commit_msg>Update to 0.4<commit_after>Title: Fingerprinter

<div class="rightimg">

![Screenshot](/static/fingerprinter-gnome-small.png)

</div>

Acoustid fingerprinter is a cross-platform GUI application that uses
[Chromaprint][chp] to submit audio fingerprints from your music collection
to the Acoustid database. Only tagged audio files are submitted. Files
tagged by MusicBrainz applications such as [Picard][picard] or [Jaikoz][jaikoz]
are preferred, but it will submit fingerprints for any files that have tags
such as track title, artist name, album name, etc.

[chp]: /chromaprint
[picard]: http://musicbrainz.org/doc/Picard
[jaikoz]: http://www.jthink.net/jaikoz/

### Download

Latest release &mdash; 0.4 (Aug 6, 2011)

 * [Source code][src]
 * Packages
     * [Windows][win]
     * [Mac OS X][osx]
     * [Arch Linux](http://aur.archlinux.org/packages.php?ID=46359)
     * [Debian](http://packages.debian.org/acoustid-fingerprinter)
     * [Gentoo](http://proaudio.tuxfamily.org/wiki/index.php?title=Usage) (Pro-Audio Gentoo overlay)
     * [Ubuntu][ppa]

[src]: https://github.com/downloads/lalinsky/acoustid-fingerprinter/acoustid-fingerprinter-0.4.tar.gz
[win]: https://github.com/downloads/lalinsky/acoustid-fingerprinter/acoustid-fingerprinter-0.4-win32.zip
[osx]: https://github.com/downloads/lalinsky/acoustid-fingerprinter/acoustid-fingerprinter-0.4-mac.dmg
[ppa]: https://launchpad.net/~luks/+archive/acoustid

### Development

You can dowload the development version of the source code from [GitHub][gh].
Either you can use [Git][git] to clone the repository or download a
zip/tar.gz file with the latest version.

The source code is licensed under the [GPL2+ license][gpl].

[gpl]: http://www.gnu.org/licenses/gpl-2.0.html
[gh]: https://github.com/lalinsky/acoustid-fingerprinter
[git]: http://git-scm.com/

{'fraction_non_alphanumeric': 0.14050041242782513, 'fraction_numerical': 0.01347264228759967, 'mean_word_length': 4.702194357366771, 'pattern_counts': {'":': 0, '<': 7, '<?xml version=': 0, '>': 7, 'https://': 10, 'lorem ipsum': 0, 'www.': 4, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 12, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '476635', 'n_tokens_mistral': 1346, 'n_tokens_neox': 1246, 'n_words': 300}