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        "description": "Leven\n=====\n\nLevenshtein edit distance library for Python, Apache-licensed.\nWritten by Lars Buitinck, Netherlands eScience Center, with contributions\nfrom Isaac Sijaranamual, University of Amsterdam.\n\nPerforms distance computations on either byte strings or Unicode codepoints.\n\nInstallation\n------------\n\nMake sure you have Cython and a C++ compiler installed::\n\n    pip install cython\n\nInstalling a C++ compiler is so platform-dependent that I won't show\ninstructions. Consult your package manager.\n\nThen::\n\n    python setup.py install\n\nTo run the tests, but not to actually use leven, you need six and Nose.\n\nUsage\n-----\n\n    >>> from leven import levenshtein\n    >>> levenshtein(\"hello, world!\", \"goodbye, cruel world!\")\n    13\n\nAbout the implementation\n------------------------\n\nThe core algorithms have been implemented in C++. I used this instead of C\nto get templates, easier memory management and a better standard library,\nso the C++ code probably looks C-ish.\n\nTodo\n----\n\n* Implement Ukkonen's algorithm for bounded Levenshtein distance\n* Implement Levenshtein automata for fast neighbor search in string spaces\n* Implement weighted Levenshtein distance\n",
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