⚡️ Speed up function bytes_string_to_string by 2,121%#259
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⚡️ Speed up function bytes_string_to_string by 2,121%#259codeflash-ai[bot] wants to merge 1 commit intomainfrom
bytes_string_to_string by 2,121%#259codeflash-ai[bot] wants to merge 1 commit intomainfrom
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The optimized code achieves a **21x speedup** (2121%) by replacing an inefficient character-by-character byte construction with Python's native `encode()` method.
## Key Optimization
**Original approach:**
```python
text_bytes = bytes([ord(char) for char in text])
```
- Creates a list comprehension iterating over every character
- Calls `ord()` for each character individually
- Constructs an intermediate list in memory
- Converts the list to bytes
- Line profiler shows: **28.7ms** (92.4% of total time)
**Optimized approach:**
```python
text_bytes = text.encode("latin-1")
```
- Uses Python's built-in string encoding directly
- Latin-1 encoding maps characters 0-255 to bytes 1:1 (identical to the original behavior)
- No intermediate list creation
- Line profiler shows: **106μs** (4.1% of total time)
- **~270x faster** on the critical line
## Why This Works
The original function's purpose is to interpret a string where each character represents a byte value (ord 0-255), then decode those bytes using a specified encoding. Latin-1 encoding has the unique property that it directly maps Unicode codepoints 0-255 to bytes 0-255, making `text.encode("latin-1")` functionally equivalent to `bytes([ord(char) for char in text])` but implemented in optimized C code.
## Error Handling
Added a try-except block to preserve original behavior:
```python
except UnicodeEncodeError:
raise ValueError("bytes must be in range(0, 256)") from None
```
The original would raise `ValueError` if any character had `ord > 255`; the optimized version catches `UnicodeEncodeError` from `encode()` and converts it to the same `ValueError`.
## Performance Impact by Test Category
- **Small strings (< 20 chars)**: 30-100% faster (microseconds saved)
- **Large strings (> 1000 chars)**: **5000-13000% faster** (hundreds of microseconds saved)
- Example: 8000-char string goes from 428μs to 5.19μs (8141% faster)
- The performance gap grows linearly with string length due to eliminating the Python-level loop
The optimization is particularly impactful for any workload processing moderate-to-large strings, as the speedup scales directly with input size.
misrasaurabh1
approved these changes
Jan 26, 2026
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📄 2,121% (21.21x) speedup for
bytes_string_to_stringinunstructured/cleaners/core.py⏱️ Runtime :
5.04 milliseconds→227 microseconds(best of65runs)📝 Explanation and details
The optimized code achieves a 21x speedup (2121%) by replacing an inefficient character-by-character byte construction with Python's native
encode()method.Key Optimization
Original approach:
ord()for each character individuallyOptimized approach:
Why This Works
The original function's purpose is to interpret a string where each character represents a byte value (ord 0-255), then decode those bytes using a specified encoding. Latin-1 encoding has the unique property that it directly maps Unicode codepoints 0-255 to bytes 0-255, making
text.encode("latin-1")functionally equivalent tobytes([ord(char) for char in text])but implemented in optimized C code.Error Handling
Added a try-except block to preserve original behavior:
The original would raise
ValueErrorif any character hadord > 255; the optimized version catchesUnicodeEncodeErrorfromencode()and converts it to the sameValueError.Performance Impact by Test Category
The optimization is particularly impactful for any workload processing moderate-to-large strings, as the speedup scales directly with input size.
✅ Correctness verification report:
⚙️ Click to see Existing Unit Tests
cleaners/test_core.py::test_bytes_string_to_string🌀 Click to see Generated Regression Tests
🔎 Click to see Concolic Coverage Tests
codeflash_concolic_xdo_puqm/tmpl5i6ubkt/test_concolic_coverage.py::test_bytes_string_to_stringTo edit these changes
git checkout codeflash/optimize-bytes_string_to_string-mkrwky7eand push.