Python extension for computing string edit distances and similarities.

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Project description

Levenshtein

Introduction

The Levenshtein Python C extension module contains functions for fast computation of:

Levenshtein (edit) distance, and edit operations
string similarity
approximate median strings, and generally string averaging
string sequence and set similarity

This is a fork of ztane/python-Levenshtein, since the original project is no longer actively maintained.

Requirements

Python 2.7 or later

Installation

pip install levenshtein

Documentation

The documentation for the current version can be found at https://maxbachmann.github.io/Levenshtein/

License

Levenshtein is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

See the file COPYING for the full text of GNU General Public License version 2.

Changelog

v0.15.0

Update SequenceMatcher interface to support the autojunk parameter

v0.14.0

Drop Python 2 support
Fixed free of non heap object due caused by zero offset on a heap object
Fixed warnings about missing type conversions
Fix segmentation fault in subtract_edit when incorrect input types are used
Fixed unchecked memory allocations
Implement distance/ratio/hamming/jaro/jaro_winkler using rapidfuzz instead of providing a own implementation
Implement Wrapper for inverse/editops/opcodes/matching_blocks/subtract_edit/apply_edit using Cython to simplify support for new Python versions

v0.13.0

Maintainership passed to Max Bachmann
use faster bitparallel implementations for distance and ratio
avoid string copies in distance, ratio and hamming
Fix usage of deprecated Unicode APIs in distance, ratio and hamming
Fixed incorrect window size inside Jaro and Jaro-Winkler implementation
Fixed incorrect exception messages
Removed unused functions and compiler specific hacks
Split the Python and C implementations to simplify building of the C library
Fixed multiple bugs which prevented the use as C library, since some functions only got defined when compiling for Python
Build and deliver python wheels for the library
Fixed incorrect allocation size in lev_editops_matching_blocks and lev_opcodes_matching_blocks

v0.12.1

Fixed handling of numerous possible wraparounds in calculating the size of memory allocations; incorrect handling of which could cause denial of service or even possible remote code execution in previous versions of the library.

v0.12.0

Fixed a bug in StringMatcher.StringMatcher.get_matching_blocks / extract_editops for Python 3; now allow only str editops on both Python 2 and Python 3, for simpler and working code.
Added documentation in the source distribution and in GIT
Fixed the package layout: renamed the .so/.dll to _levenshtein, and made it reside inside a package, along with the StringMatcher class.
Fixed spelling errors.

v0.11.2

Fixed a bug in setup.py: installation would fail on Python 3 if the locale did not specify UTF-8 charset (Felix Yan).
Added COPYING, StringMatcher.py, gendoc.sh and NEWS in MANIFEST.in, as they were missing from source distributions.

v0.11.1

Added Levenshtein.h to MANIFEST.in

v0.11.0

Python 3 support, maintainership passed to Antti Haapala

v0.10.2

Made python-Lehvenstein Git compatible and use setuptools for PyPi upload
Created HISTORY.txt and made README reST compatible

v0.10.1

apply_edit() broken for Unicodes was fixed (thanks to Radovan Garabik)
subtract_edit() function was added

v0.10.0

Hamming distance, Jaro similarity metric and Jaro-Winkler similarity metric were added
ValueErrors raised on wrong argument types were fixed to TypeErrors

v0.9.0

a poor-but-fast generalized median method quickmedian() was added
some auxiliary functions added to the C api (lev_set_median_index, lev_editops_normalize, ...)

v0.8.2

fixed missing `static' in the method list

v0.8.1

some compilation problems with non-gcc were fixed

v0.8.0

median_improve(), a generalized median improving function, was added
an arbitrary length limitation imposed on greedy median() result was removed
out of memory should be handled more gracefully (on systems w/o memory overcomitting)
the documentation now passes doctest

v0.7.0

fixed greedy median() for Unicode characters > U+FFFF, it's now usable with whatever integer type wchar_t happens to be
added missing MANIFEST
renamed exported C functions, all public names now have lev_, LEV_ or Lev prefix; defined lev_byte, lev_wchar, and otherwise santinized the (still unstable) C interface
added edit-ops group of functions, with two interfaces: native, useful for string averaging, and difflib-like for interoperability
added an example SequenceMatcher-like class StringMatcher

v0.6.0

a segfault in seqratio()/setratio() on invalid input has been fixed to an exception
optimized ratio() and distance() (about 20%)
Levenshtein.h header file was added to make it easier to actually use it as a C library

v0.5.0

a segfault in setratio() was fixed
median() handles all empty strings situation more gracefully

v0.4.0

new functions seqratio() and setratio() computing similarity between string sequences and sets
Levenshtein optimizations (affects all routines except median())
all Sequence objects are accepted, not just Lists

v0.3.0

setmedian() finding set median was added
median() initial overhead for Unicodes was reduced

v0.2.0

ratio() and distance() now accept both Strings and Unicodes
removed uratio() and udistance()
Levenshtein.c is now compilable as a C library (with -DNO_PYTHON)
a median() function finding approximate weighted median of a string set was added

v0.1.0

Inital release

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

0.26.1

Oct 27, 2024

0.26.0

Sep 19, 2024

0.25.1

Apr 7, 2024

0.25.0

Feb 11, 2024

0.24.0

Jan 28, 2024

0.23.0

Oct 9, 2023

0.22.0

Sep 26, 2023

0.21.1

Jun 10, 2023

0.21.0

Apr 19, 2023

0.20.9

Dec 25, 2022

0.20.8

Oct 27, 2022

0.20.7

Oct 17, 2022

0.20.6

Oct 14, 2022

0.20.5

Sep 27, 2022

0.20.4

Sep 26, 2022

0.20.3

Sep 9, 2022

0.20.2

Aug 6, 2022

0.20.1

Jul 23, 2022

0.20.0

Jul 23, 2022

0.19.3

Jul 20, 2022

0.19.2

Jul 13, 2022

0.19.1

Jul 10, 2022

0.19.0

Jul 9, 2022

0.18.2

Jul 5, 2022

0.18.1

Feb 11, 2022

0.18.0

Feb 10, 2022

0.17.0

Jan 24, 2022

0.16.0

Oct 28, 2021

This version

0.15.0

Sep 9, 2021

0.14.0

Sep 9, 2021

0.13.0

Aug 15, 2021

0.12.0

Jan 9, 2021

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