Index: head/devel/py-levenshtein/Makefile
===================================================================
--- head/devel/py-levenshtein/Makefile	(revision 422615)
+++ head/devel/py-levenshtein/Makefile	(revision 422616)
@@ -1,25 +1,19 @@
 # Created by: Aron Stansvik <elvstone@gmail.com>
 # $FreeBSD$
 
 PORTNAME=	levenshtein
-PORTVERSION=	0.10.1
-PORTREVISION=	1
+PORTVERSION=	0.12.0
 CATEGORIES=	devel python
-MASTER_SITES=	GOOGLE_CODE
+MASTER_SITES=	CHEESESHOP
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 DISTNAME=	python-Levenshtein-${PORTVERSION}
 
 MAINTAINER=	elvstone@gmail.com
 COMMENT=	Python extension computing string distances and similarities
 
 LICENSE=	GPLv2
 
-BROKEN=		Unfetchable (google code has gone away)
-
-PLIST_FILES=	%%PYTHON_SITELIBDIR%%/Levenshtein.so
-USES=		python tar:bzip2
-USE_PYTHON=	distutils pythonprefix
-PYDISTUTILS_PKGNAME=	python-Levenshtein
-PROJECTHOST=	py${PORTNAME}
+USES=		python
+USE_PYTHON=	distutils pythonprefix autoplist
 
 .include <bsd.port.mk>
Index: head/devel/py-levenshtein/distinfo
===================================================================
--- head/devel/py-levenshtein/distinfo	(revision 422615)
+++ head/devel/py-levenshtein/distinfo	(revision 422616)
@@ -1,2 +1,3 @@
-SHA256 (python-Levenshtein-0.10.1.tar.bz2) = a1af52fd438df6d13859a6336fd8b7e7cdcdb08848c89ba92b621c343e1f68ad
-SIZE (python-Levenshtein-0.10.1.tar.bz2) = 37998
+TIMESTAMP = 1474551489
+SHA256 (python-Levenshtein-0.12.0.tar.gz) = 033a11de5e3d19ea25c9302d11224e1a1898fe5abd23c61c7c360c25195e3eb1
+SIZE (python-Levenshtein-0.12.0.tar.gz) = 48617
Index: head/devel/py-levenshtein/pkg-descr
===================================================================
--- head/devel/py-levenshtein/pkg-descr	(revision 422615)
+++ head/devel/py-levenshtein/pkg-descr	(revision 422616)
@@ -1,6 +1,6 @@
 Levenshtein computes Levenshtein distances, similarity ratios, generalized
 medians and set medians of Strings and Unicodes.  Because it's implemented
 in C, it's much faster than corresponding Python library functions and
 methods.
 
-WWW: http://code.google.com/p/pylevenshtein/
+WWW: https://pypi.python.org/pypi/python-Levenshtein