python-levenshtein 0.12.0-4 source package in Ubuntu
Changelog
python-levenshtein (0.12.0-4) unstable; urgency=medium [ Ondřej Nový ] * Use debhelper-compat instead of debian/compat. * Bump Standards-Version to 4.4.1. [ Sandro Tosi ] * Drop python2 support; Closes: #937885 -- Sandro Tosi <email address hidden> Thu, 12 Dec 2019 21:06:29 -0500
Upload details
- Uploaded by:
- Sandro Tosi
- Uploaded to:
- Sid
- Original maintainer:
- Sandro Tosi
- Architectures:
- any
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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python-levenshtein_0.12.0-4.dsc | 2.1 KiB | d93c57d3557be4b869a798ae48e7d40acad29b1367e3f4a0a3dec3ce01360b49 |
python-levenshtein_0.12.0.orig.tar.gz | 47.5 KiB | 033a11de5e3d19ea25c9302d11224e1a1898fe5abd23c61c7c360c25195e3eb1 |
python-levenshtein_0.12.0-4.debian.tar.xz | 3.3 KiB | 909453d295e5c2773c476768de539413c6e1cc3268b7ff55fb07115d9c0c0e68 |
Available diffs
No changes file available.
Binary packages built by this source
- python3-levenshtein: 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.
- 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.