Weighted Levenshtein
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.
1 maintainer
Metadata
1 maintainer
Release files for weighted-levenshtein-substring 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| weighted_levenshtein-substring-0.0.3.tar.gz | 135.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| weighted_levenshtein_substring-0.0.3-cp37-cp37m-macosx_10_9_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | macOS 10.9+ x86-64 | Details |
Total release size: 224.1 kB
Release files / weighted_levenshtein-substring-0.0.3.tar.gz
| Download URL | weighted_levenshtein-substring-0.0.3.tar.gz |
|---|---|
| Size | 135.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
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Release files / weighted_levenshtein_substring-0.0.3-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | weighted_levenshtein_substring-0.0.3-cp37-cp37m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 89.1 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
|
Security for weighted-levenshtein-substring 0.0.3
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