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authorDavid Spencer <baildon.research@googlemail.com>2017-05-18 17:30:13 +0100
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2017-05-20 06:54:41 +0700
commit5e09ad4440d89bd10804be21a03b200b6e558261 (patch)
tree746db76ea160afee8ec7d5d14def7e54e52c4859 /python/python-Levenshtein
parent2e699716e93278c0ba210d886aca4a74c35bd31a (diff)
python/python-Levenshtein: Updated homepage and download links.
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
Diffstat (limited to 'python/python-Levenshtein')
-rw-r--r--python/python-Levenshtein/python-Levenshtein.info4
-rw-r--r--python/python-Levenshtein/slack-desc2
2 files changed, 3 insertions, 3 deletions
diff --git a/python/python-Levenshtein/python-Levenshtein.info b/python/python-Levenshtein/python-Levenshtein.info
index 4e6060bca6ba1..6c42ac48b5e1c 100644
--- a/python/python-Levenshtein/python-Levenshtein.info
+++ b/python/python-Levenshtein/python-Levenshtein.info
@@ -1,7 +1,7 @@
PRGNAM="python-Levenshtein"
VERSION="0.10.2"
-HOMEPAGE="http://pypi.python.org/pypi/python-Levenshtein/"
-DOWNLOAD="http://pypi.python.org/packages/source/p/python-Levenshtein/python-Levenshtein-0.10.2.tar.gz"
+HOMEPAGE="https://pypi.python.org/pypi/python-Levenshtein/"
+DOWNLOAD="https://pypi.python.org/packages/source/p/python-Levenshtein/python-Levenshtein-0.10.2.tar.gz"
MD5SUM="c8af7296dc640abdf511614ee677bbb8"
DOWNLOAD_x86_64=""
MD5SUM_x86_64=""
diff --git a/python/python-Levenshtein/slack-desc b/python/python-Levenshtein/slack-desc
index 96af751292179..deea034f42764 100644
--- a/python/python-Levenshtein/slack-desc
+++ b/python/python-Levenshtein/slack-desc
@@ -13,7 +13,7 @@ python-Levenshtein: used for fast calculation of string distances with the Leven
python-Levenshtein: algorithm, as well as some other methods.
python-Levenshtein:
python-Levenshtein: The python-Levenshtein website can be found at:
-python-Levenshtein: http://trific.ath.cx/resources/python/levenshtein/
+python-Levenshtein: https://pypi.python.org/pypi/python-Levenshtein/
python-Levenshtein:
python-Levenshtein:
python-Levenshtein: