⚡ Bolt: Optimize yEnc decoding#31
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- Replace manual pure Python byte iteration in `_decode_yenc_lines` with C-backed `bytes.translate()` and `bytes.find()` - Pre-compute translation tables for math operations - Significant boost to NNTP body parsing speed - Added learning to `.jules/bolt.md` Co-authored-by: xbmc4lyfe <273732874+xbmc4lyfe@users.noreply.github.com>
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📝 WalkthroughSummary by CodeRabbit
WalkthroughThe PR optimizes yEnc decoding in ChangesyEnc Decoding Optimization
🎯 2 (Simple) | ⏱️ ~12 minutes
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
✨ Simplify code
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💡 What: Optimized the
_decode_yenc_linesfunction inverify_nzb.pyto usebytes.translate()andbytes.find()instead of a manualwhileloop that iterates over each byte. Added.jules/bolt.mdto document the finding.🎯 Why: Manual byte-by-byte iteration in pure Python is extremely slow and acts as a major bottleneck when decoding large amounts of NNTP body data.
📊 Impact: Reduces decoding time by approximately 15x (from ~2.27s down to ~0.14s for 1000 lines decoding 100 times in an isolated benchmark).
🔬 Measurement: You can verify the correctness of the decoding algorithm by running the test suite (
python3 -m unittest -v), which includes tests forvalidate_yenc_body.PR created automatically by Jules for task 17733910853938855992 started by @xbmc4lyfe