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Language update and more helpful error message #924
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PR Reviewer Guide 🔍(Review updated until commit 626cec1)Here are some key observations to aid the review process:
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PR Code Suggestions ✨Latest suggestions up to 626cec1
Previous suggestionsSuggestions up to commit 28125fc
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Persistent review updated to latest commit 626cec1 |
The optimized version achieves an **11% speedup** through several key memory and algorithmic optimizations: **Primary Optimizations:** 1. **Pre-allocated buffer reuse**: Instead of creating a new `newDistances` list on every iteration (16,721 allocations in the profiler), the optimized version uses two pre-allocated lists (`previous` and `current`) that are swapped via reference assignment. This eliminates ~16K list allocations per call. 2. **Eliminated tuple construction in min()**: The original code creates a 3-element tuple for `min((a, b, c))` 8+ million times. The optimized version uses inline comparisons (`a if a < b else b`), avoiding tuple overhead entirely. 3. **Direct indexing over enumerate**: Replaced `enumerate(s1)` and `enumerate(s2)` with `range(len1)` and direct indexing, eliminating tuple unpacking overhead in the inner loops. 4. **Cached string lengths**: Pre-computing `len1` and `len2` avoids repeated `len()` calls. **Performance Impact by Test Case:** - **Medium-length strings** (6-10 chars): 20-30% faster - best case for the optimizations - **Large identical/similar strings** (1000+ chars): 20-25% faster for different strings, but slower for identical strings due to overhead - **Very short strings** (1-2 chars): Often 10-20% slower due to setup overhead outweighing benefits - **Empty string cases**: Consistently slower due to initialization costs **Context Impact:** The function is used in `closest_matching_file_function_name()` for fuzzy matching function names. Since this involves comparing many short-to-medium function names, the optimization should provide measurable benefits in code discovery workflows where hundreds of function name comparisons occur. The optimization is most effective for the common case of comparing function names (typically 5-20 characters), where memory allocation savings outweigh setup costs.
⚡️ Codeflash found optimizations for this PR📄 12% (0.12x) speedup for
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Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>
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This PR is now faster! 🚀 Saurabh Misra accepted my code suggestion above. |
…25-11-17T17.24.40 ⚡️ Speed up function `levenshtein_distance` by 12% in PR #924 (`small-fixes`)
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This PR is now faster! 🚀 @misrasaurabh1 accepted my optimizations from: |
# Conflicts: # codeflash/discovery/functions_to_optimize.py
PR Type
Enhancement, Bug fix
Description
Add fuzzy match for missing function
Improve error message guidance
Type hints for functions map
Minor language update
Diagram Walkthrough
File Walkthrough
config_parser.py
Clearer guidance when codeflash config missingcodeflash/code_utils/config_parser.py
codeflash initand target file.functions_to_optimize.py
Fuzzy function lookup with suggestion on misscodeflash/discovery/functions_to_optimize.py
find_all_functions_in_file.Tuplefor new helper return type.