⚡ Bolt: Optimize yEnc decoding - #148
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💡 What: Replaced byte-by-byte manual iteration in `_decode_yenc_lines` with C-backed `bytes.find` and `bytearray.translate`. 🎯 Why: yEnc decoding was a CPU bottleneck due to inefficient Python-level loops over thousands of bytes. 📊 Impact: Expected to reduce yEnc decoding time by ~5x, leading to significantly faster deep-check validations. 🔬 Measurement: Run `python3 benchmark2.py` to observe the 5x speedup over the previous implementation. All tests should pass. Co-authored-by: xbmc4lyfe <273732874+xbmc4lyfe@users.noreply.github.com>
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📝 WalkthroughSummary by CodeRabbit
WalkthroughThe PR replaces manual yEnc byte iteration with translation-table decoding and normalizes input lines to bytes. It also reformats verifier, configuration, and argument-parsing code while preserving existing behavior. ChangesyEnc and verifier updates
Estimated code review effort: 2 (Simple) | ~10 minutes Poem
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
✨ Simplify code
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Not up to standards ⛔🔴 Issues
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| Category | Results |
|---|---|
| ErrorProne | 1 high |
| CodeStyle | 1 minor |
🟢 Metrics 0 complexity · 0 duplication
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🧹 Nitpick comments (1)
verify_nzb.py (1)
118-149: 🎯 Functional Correctness | 🔵 Trivial | ⚡ Quick winAdd regression coverage for yEnc escape logic.
The current yEnc tests only feed
b"hello world"/ASCII-like payloads that never trigger the=escape path. Add coverage over payloads whose encoded byte(s) produce yEnc escapes, including a terminal=value, so the optimized escape decoder is exercised and covered.🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@verify_nzb.py` around lines 118 - 149, Add regression tests for _decode_yenc_lines using payloads whose yEnc encoding contains escaped bytes, including an escape marker at the end of a line. Assert the decoded output matches the original payload and cover both escaped and unescaped content so the optimized escape-processing path and terminal “=” handling are exercised.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Nitpick comments:
In `@verify_nzb.py`:
- Around line 118-149: Add regression tests for _decode_yenc_lines using
payloads whose yEnc encoding contains escaped bytes, including an escape marker
at the end of a line. Assert the decoded output matches the original payload and
cover both escaped and unescaped content so the optimized escape-processing path
and terminal “=” handling are exercised.
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📒 Files selected for processing (2)
.jules/bolt.mdverify_nzb.py
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🔇 Additional comments (2)
verify_nzb.py (1)
160-162: LGTM!Also applies to: 259-261, 297-303, 325-327, 445-458, 473-475, 535-537, 565-567, 579-583, 597-611, 637-640, 691-693, 721-723, 805-808, 817-819, 837-841, 886-888, 901-907, 920-932
.jules/bolt.md (1)
1-3: LGTM!
1 participant
💡 What: Replaced byte-by-byte manual iteration in
_decode_yenc_lineswith C-backedbytes.findandbytearray.translate.🎯 Why: yEnc decoding was a CPU bottleneck due to inefficient Python-level loops over thousands of bytes.
📊 Impact: Expected to reduce yEnc decoding time by ~5x, leading to significantly faster deep-check validations.
🔬 Measurement: Run
python3 benchmark2.pyto observe the 5x speedup over the previous implementation. All tests should pass.PR created automatically by Jules for task 18079271550889650747 started by @xbmc4lyfe