zfrag
zfrag is a lightweight Python wrapper around the native frag library for fast text fingerprinting and similarity estimation. It provides a simple Model interface to train on text data, generate compact 64-bit signatures, and quickly compare text snippets via Hamming distance or similarity scoring.
from zfrag import Model
model = Model()
model.train("Sample training text to build the model vocabulary.")
sig_a = model.sign("Hello world")
sig_b = model.sign("Hello there world")
sim = Model.similarity(sig_a, sig_b)
dist = Model.distance(sig_a, sig_b)
print(f"Similarity: {sim:.2f}, Distance: {dist}")
1 maintainer
Metadata
1 maintainer
Release files for zfrag 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| zfrag-0.1.2.tar.gz | 134.0 kB | Without provenance | Details for zfrag-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| zfrag-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for zfrag-0.1.2-py3-none-any.whl |
Total release size: 268.8 kB
Release files / zfrag-0.1.2.tar.gz
| Download URL | zfrag-0.1.2.tar.gz |
|---|---|
| Size | 134.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / zfrag-0.1.2-py3-none-any.whl
| Download URL | zfrag-0.1.2-py3-none-any.whl |
|---|---|
| Size | 134.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Security for zfrag 0.1.2
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