Fast implementation of the edit distance (Levenshtein distance).
Fast implementation of the edit distance (Levenshtein distance). This library simply implements Levenshtein distance with C++ and Cython. The algorithm used in this library is proposed by Heikki Hyyrö, "Explaining and extending the bit-parallel approximate string matching algorithm of Myers", (2001).
Fast implementation of the edit distance (Levenshtein distance). This library simply implements Levenshtein distance with C++ and Cython. The algorithm used in this library is proposed by Heikki Hyyrö, "Explaining and extending the bit-parallel approximate string matching algorithm of Myers", (2001).
To install py38-editdistance, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install py38-editdistance
To see what files were installed by py38-editdistance, run:
port contents py38-editdistance
To later upgrade py38-editdistance, run:
sudo port selfupdate && sudo port upgrade py38-editdistance
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