python-levenshtein 0.11.2-1build1 source package in Ubuntu

Changelog

python-levenshtein (0.11.2-1build1) trusty; urgency=medium

  * No change rebuild to drop python3.3 compiled extension.
 -- Dimitri John Ledkov <email address hidden>   Mon, 31 Mar 2014 19:35:06 +0100

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Uploaded by:
Dimitri John Ledkov on 2014-03-31
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Trusty release on 2014-03-31 universe python

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File Size SHA-256 Checksum
python-levenshtein_0.11.2.orig.tar.gz 44.4 KiB c1311c71beb5b6eecea4bba200a626331ef67110357448be47ba1bfe3c4aa305
python-levenshtein_0.11.2-1build1.debian.tar.gz 5.4 KiB 9cff7098d7c8bc87ead0d537e892815847f3497c2a5eee777eed14882bc88e77
python-levenshtein_0.11.2-1build1.dsc 2.4 KiB 00650a2328549cd74db65a85c1fd199ffa7d93f76a17c22e17cc077c5168ddc4

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Binary packages built by this source

python-levenshtein: No summary available for python-levenshtein in ubuntu utopic.

No description available for python-levenshtein in ubuntu utopic.

python-levenshtein-dbg: extension for computing string similarities and edit distances(debug extension)

 The Levenshtein module computes Levenshtein distances, similarity ratios,
 generalized medians and set medians of Unicode or non-Unicode strings.
 Because it's implemented in C, it's much faster than the corresponding
 Python library functions and methods.
 .
 The Levenshtein distance is the minimum number of single-character
 insertions, deletions, and substitutions to transform one string into
 another.
 .
 It is useful for spell checking, or fuzzy matching of gettext messages.
 .
 This package contains the extensions built for the Python debug interpreter.

python3-levenshtein: No summary available for python3-levenshtein in ubuntu vivid.

No description available for python3-levenshtein in ubuntu vivid.

python3-levenshtein-dbg: extension for computing string similarities and edit distances(py3k debug ext)

 The Levenshtein module computes Levenshtein distances, similarity ratios,
 generalized medians and set medians of Unicode or non-Unicode strings.
 Because it's implemented in C, it's much faster than the corresponding
 Python library functions and methods.
 .
 The Levenshtein distance is the minimum number of single-character
 insertions, deletions, and substitutions to transform one string into
 another.
 .
 It is useful for spell checking, or fuzzy matching of gettext messages.
 .
 This package contains the extensions built for the Python 3 debug interpreter.