PKG-INFO

Metadata-Version: 1.0
Name: python-Levenshtein
Version: 0.10.2
Summary: Python extension computing string distances and similarities.
Home-page: http://github.com/miohtama/python-Levenshtein
Author: mFabrik Research Oy
Author-email: info@mfabrik.com
License: GPL
Description: Levenshtein Python extension and C library.
        
        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
        
        It supports both normal and Unicode strings.
        
        Please see PKG-INFO for basic info, NEWS for news and the top of
        Levenshtein.c for TODO.
        
        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
        
        gendoc.sh generates HTML API documentation (the same as on my www pages),
        you probably want a selfcontained instead of includable version, so run
        in `./gendoc.sh --selfcontained'.  It needs Levenshtein already installed
        and genextdoc.py (http://trific.ath.cx/Ftp/python/genextdoc.py).
        
        Levenshtein can be copied and/or modified under the terms of GNU General
        Public License, see the file COPYING for full license text.
        
        Authors
        -------
        
        * David Necas (Yeti) <yeti at physics.muni.cz>
        
        
        
        10.1 - 10.2
        -----------
        
        * Made python-Lehvenstein Git compatible and use setuptools for PyPi upload
        
        
        
Keywords: string Levenshtein comparison
Platform: UNKNOWN
Classifier: Programming Language :: Python