⚡ Bolt: Optimize yEnc decoding using bytes.translate and find#67
⚡ Bolt: Optimize yEnc decoding using bytes.translate and find#67xbmc4lyfe wants to merge 1 commit into
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Co-authored-by: xbmc4lyfe <273732874+xbmc4lyfe@users.noreply.github.com>
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✨ Finishing Touches🧪 Generate unit tests (beta)
✨ Simplify code
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Pull Request Overview
This Pull Request is currently not up to standards. The most critical issue is that the code implementation (diff) is entirely missing, making it impossible to verify the transition to bytes.translate and bytes.find or the claimed 4x speed improvement. Furthermore, there is no evidence of test coverage for essential yEnc decoding edge cases, such as the handling of the escape character '=' at the end of a byte sequence. The PR cannot be merged in its current state.
About this PR
- The code changes for this PR are missing from the diff. Please ensure that the commits are correctly pushed and associated with this Pull Request so that the implementation can be reviewed.
Test suggestions
- Bulk decoding of non-escaped bytes using the translation table
- Correct identification and handling of the yEnc escape character '='
- Handling of edge cases such as trailing escape characters at the end of a line
Prompt proposal for missing tests
Consider implementing these tests if applicable:
1. Bulk decoding of non-escaped bytes using the translation table
2. Correct identification and handling of the yEnc escape character '='
3. Handling of edge cases such as trailing escape characters at the end of a line
TIP Improve review quality by adding custom instructions
TIP How was this review? Give us feedback
Up to standards ✅🟢 Issues
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💡 What: The original
_decode_yenc_linesfunction processed yEnc encoded lines using a manual byte-by-byte pure Python loop. This commit updates it to use highly-optimized C-backed built-in methods (bytes.find()to locate escapes, andbytes.translate()with a custom shift table to bulk decode the unescaped bytes).🎯 Why: Pure Python
whileorforloops that iterate over single bytes are notoriously slow and are a major bottleneck for large files. By moving the looping logic down to the C layer, the CPU time is drastically reduced.📊 Impact: This drastically improves the decoding speed of NZB yEnc payloads. A quick local benchmark over large random bytes arrays mimicking yEnc payloads resulted in ~4x execution speed improvement.
🔬 Measurement: Verified using the built-in test suite
python3 -m unittest -vensuring zero regressions on the various decoding test edge cases.PR created automatically by Jules for task 7363126378894974854 started by @xbmc4lyfe