Python extension computing string distances and similarities
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
It supports both normal and Unicode strings.
Python 2.2 or newer is required.
StringMatcher.py is an example SequenceMatcher-like class built on the top of
Levenshtein. It misses some SequenceMatcher's functionality, and has some extra
OTOH.
Levenshtein.c can be used as a pure C library, too. You only have to define
NO_PYTHON preprocessor symbol (-DNO_PYTHON) when compiling it. The
functionality is similar to that of the Python extension. No separate docs are
provided yet, RTFS. But they are not interchangeable:
* C functions exported when compiling with -DNO_PYTHON (see Levenshtein.h) are
not exported when compiling as a Python extension (and vice versa)
* Unicode character type used with -DNO_PYTHON is wchar_t, Python
extension uses Py_UNICODE, they may be the same but don't count on it
Authors:
--------
mFabrik Research Oy
- Sources inherited from project openSUSE:Factory:Rings:1-MinimalX
- Links to openSUSE:Factory / python-Levenshtein
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Source Files (show unmerged sources)
Filename | Size | Changed |
---|---|---|
levenshtein-0.26.1.tar.gz | 0000374307 366 KB | |
python-Levenshtein.changes | 0000008700 8.5 KB | |
python-Levenshtein.spec | 0000002117 2.07 KB |
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