Add near-duplicate text detection (SimHash / MinHash)#308
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fuzzy_dedupe is O(n²) pairwise with no stable fingerprint and image_dedup only hashes pixels. Add the text analog: simhash + hamming_distance + near_duplicates clustering, and minhash_signature + minhash_similarity for estimated Jaccard. Uses a fixed blake2b hash for deterministic fingerprints. hamming_distance is shared with image_dedup (not re-exported from the facade to avoid a name clash). Wired through facade, executor (AC_simhash / AC_near_duplicates), MCP, and the Script Builder with a headless test batch and EN/Zh docs.
Up to standards ✅🟢 Issues
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| Metric | Results |
|---|---|
| Complexity | 52 |
| Duplication | 0 |
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What
fuzzy_dedupeis O(n²) pairwise with no stable fingerprint andimage_deduponly hashes pixels. This adds the text analog.simhash(text, *, bits=64)+hamming_distance(shared with image_dedup) → near-dup by bit distance.near_duplicates(texts, *, max_distance=3)→ clusters of indices (a partition).minhash_signature/minhash_similarity→ estimated Jaccard for set-overlap dedup.Uses a fixed
blake2bhash (not the salted built-inhash()) so fingerprints are deterministic across runs.hamming_distanceis not re-exported from the facade (image_dedup already exports it with identical int semantics).Layers
utils/near_dup/(pure stdlibhashlib/re, zero PySide6).simhash,near_duplicates,minhash_signature,minhash_similarity+__all__.AC_simhash,AC_near_duplicates.ac_simhash,ac_near_duplicates(read-only).test/unit_test/headless/test_near_dup_batch.py(8 tests).v100_features_doc.rst(EN + Zh) + toctrees + 3 README What's-new sections.Verification
pytest test/unit_test/headless/test_near_dup_batch.py→ 8 passed.ruff check je_auto_control/clean; pylint 10.00/10; bandit clean; radon CC clean.