Library providing functions to calculate Levenshtein distance, Optimal String Alignment distance, and Damerau-Levenshtein distance, where the cost of each operation can be weighted by letter.
Project description
Codebase forked from https://github.com/infoscout/weighted-levenshtein
Install
pip3 install weighted-levenshtein-substringUsage
Use
from weighted_levenshtein import mod_lev
distance: float = mod_lev(string, pattern)To find the lowest edit distance between pattern and any substring of string.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for weighted_levenshtein-substring-0.0.3.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 84c9507bafe150e3d0823833ee8a222f6e8ecdcfb663e6cdc6345130b0ab10d1 |
|
| MD5 | f72feb3ac057b28d5f4a74fc97786f6a |
|
| BLAKE2b-256 | e27eb4bd05fcdc25434dab380c01111aff49bedfaac7a30bfbc19580deb7ae0a |
Close
Hashes for weighted_levenshtein_substring-0.0.3-cp37-cp37m-macosx_10_9_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 03f3114d60e823971e70e88d6ad9e1fccc814deb49386c9b6f27068c94c4add9 |
|
| MD5 | 4672b089c43ba297cf8ede58e061c4cf |
|
| BLAKE2b-256 | 663699375aec96a786d81acc85a3435fa161212133af1f20d693a1125e325cb1 |
