⚡ Bolt: [performance improvement] yEnc Decoding Optimization - #134
⚡ Bolt: [performance improvement] yEnc Decoding Optimization#134xbmc4lyfe wants to merge 1 commit into
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What: Optimized _decode_yenc_lines to use bytes.translate and bytes.find instead of a manual loop. Why: The manual byte-by-byte decoding in Python is very slow. By leveraging C-backed built-in string methods, we can decode yEnc data much faster. Impact: Benchmarks show a ~6x speedup, significantly reducing CPU time during deep validation of NZB bodies. Measurement: Verified speedup by running benchmark.py showing a reduction from 6.2s to 1.0s. Co-authored-by: xbmc4lyfe <273732874+xbmc4lyfe@users.noreply.github.com>
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📝 WalkthroughSummary by CodeRabbit
WalkthroughChangesThe pull request optimizes yEnc decoding with translation tables and Verifier updates
Estimated code review effort: 3 (Moderate) | ~20 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)
118-147: 🎯 Functional Correctness | 🔵 Trivial | ⚡ Quick winAdd regression coverage for escaped-byte decoding.
The supplied tests exercise
yenc_encode(b"hello world"), but do not visibly cover the new escape-marker state machine. Add cases for escaped bytes, consecutive escapes, and a dangling marker so the performance rewrite preserves both valid decoding and malformed-input behavior. The yEnc draft requires the escape pair to remain on one line and decoders to accept any following byte. (sources.debian.org)Suggested regression cases
+def test_decode_yenc_lines_handles_escaped_bytes(): + assert _decode_yenc_lines([b"=@=J=M=}"]) == bytes([214, 224, 227, 19]) + +def test_decode_yenc_lines_rejects_dangling_escape(): + with pytest.raises(ValueError, match="dangling yEnc escape"): + _decode_yenc_lines([b"payload="])🤖 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 - 147, Add regression tests for _decode_yenc_lines covering a valid escaped byte, consecutive escape markers, and a dangling marker that raises ValueError. Keep each escape pair on the same input line and verify decoding accepts arbitrary following bytes, preserving the existing behavior for unescaped data.Source: MCP tools
🤖 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 118-147: Add regression tests for _decode_yenc_lines covering a
valid escaped byte, consecutive escape markers, and a dangling marker that
raises ValueError. Keep each escape pair on the same input line and verify
decoding accepts arbitrary following bytes, preserving the existing behavior for
unescaped data.
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📒 Files selected for processing (2)
.jules/bolt.mdverify_nzb.py
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.jules/bolt.md
[notice] 1-1: .jules/bolt.md#L1
Expected: 1; Actual: 0; Below
verify_nzb.py
[warning] 300-300: verify_nzb.py#L300
Operator "<" not supported for "None" (reportOptionalOperand)
🔇 Additional comments (2)
verify_nzb.py (1)
157-159: LGTM!Also applies to: 256-258, 294-300, 322-324, 442-455, 470-472, 532-534, 562-564, 576-580, 594-608, 634-637, 688-690, 718-720, 802-805, 814-816, 834-838, 883-885, 898-904, 917-929
.jules/bolt.md (1)
1-3: LGTM!
1 participant
What: Optimized _decode_yenc_lines to use bytes.translate and bytes.find instead of a manual loop.
Why: The manual byte-by-byte decoding in Python is very slow. By leveraging C-backed built-in string methods, we can decode yEnc data much faster.
Impact: Benchmarks show a ~6x speedup, significantly reducing CPU time during deep validation of NZB bodies.
Measurement: Verified speedup by running benchmark.py showing a reduction from 6.2s to 1.0s.
PR created automatically by Jules for task 9970422068270969849 started by @xbmc4lyfe