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Source: python-levenshtein
Section: python
Priority: optional
Maintainer: Sandro Tosi <morph@debian.org>
Uploaders: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Build-Depends: python-all-dev (>= 2.5.3-1~), python-all-dbg, python3-all-dev, python3-all-dbg, dh-python, debhelper (>= 7.0.50~), python-setuptools, python3-setuptools
X-Python-Version: all
X-Python3-Version: >= 3.0
Standards-Version: 3.9.6
Homepage: https://github.com/ztane/python-Levenshtein
Vcs-Svn: svn://anonscm.debian.org/python-modules/packages/python-levenshtein/trunk/
Vcs-Browser: http://anonscm.debian.org/viewvc/python-modules/packages/python-levenshtein/trunk/
Package: python-levenshtein
Architecture: any
Depends: ${shlibs:Depends}, ${python:Depends}, ${misc:Depends}
Description: extension for computing string similarities and edit distances
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.
Package: python3-levenshtein
Architecture: any
Depends: ${shlibs:Depends}, ${python3:Depends}, ${misc:Depends}
Description: extension for computing string similarities and edit distances (Python 3)
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 Levenshtein for Python 3.
Package: python-levenshtein-dbg
Section: debug
Priority: extra
Architecture: any
Depends: python-levenshtein (= ${binary:Version}), ${shlibs:Depends}, ${python:Depends}, ${misc:Depends}
Description: 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.
Package: python3-levenshtein-dbg
Section: debug
Priority: extra
Architecture: any
Depends: python3-levenshtein (= ${binary:Version}), ${shlibs:Depends}, ${python3:Depends}, ${misc:Depends}
Description: 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.
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