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
- Has a link diff
- Download package
- 
Checkout Package
osc -A https://api.opensuse.org checkout devel:ARM:Factory:ARMv9:Rings:1-MinimalX/python-Levenshtein && cd $_
- Create Badge
Source Files (show merged sources derived from linked package)
| Filename | Size | Changed | 
|---|---|---|
| _link | 0000000461 461 Bytes | 





Comments 0