⚡️ Speed up function in_denylist by 58%
          #48
        
          
      
  Add this suggestion to a batch that can be applied as a single commit.
  This suggestion is invalid because no changes were made to the code.
  Suggestions cannot be applied while the pull request is closed.
  Suggestions cannot be applied while viewing a subset of changes.
  Only one suggestion per line can be applied in a batch.
  Add this suggestion to a batch that can be applied as a single commit.
  Applying suggestions on deleted lines is not supported.
  You must change the existing code in this line in order to create a valid suggestion.
  Outdated suggestions cannot be applied.
  This suggestion has been applied or marked resolved.
  Suggestions cannot be applied from pending reviews.
  Suggestions cannot be applied on multi-line comments.
  Suggestions cannot be applied while the pull request is queued to merge.
  Suggestion cannot be applied right now. Please check back later.
  
    
  
    
📄 58% (0.58x) speedup for
in_denylistinpanel/io/reload.py⏱️ Runtime :
152 milliseconds→95.9 milliseconds(best of30runs)📝 Explanation and details
The optimization achieves a 58% speedup by eliminating function call overhead and avoiding redundant computations in the
in_denylistfunction.Key optimizations:
Eliminated function calls: The original code called
file_is_in_folder_glob()for each denylist pattern (up to 13 calls per filepath). The optimized version inlines this logic directly in the loop, removing function call overhead.Moved directory computation outside the loop:
os.path.dirname(filepath) + "/"is now computed once at the start rather than being recalculated for every denylist pattern. From the line profiler, this operation took 247ms in the original (41% of time) but only 27ms in the optimized version (6.4% of time).Early termination: Changed from
any()generator expression to explicit loop with earlyreturn True, allowing the function to exit immediately upon finding the first match instead of potentially evaluating all patterns.Performance impact by test type:
The optimization is most effective for files that either don't match any denylist pattern (forcing evaluation of all 13 patterns in the original) or match patterns later in the denylist, as the early termination provides maximum benefit.
✅ Correctness verification report:
⚙️ Existing Unit Tests and Runtime
io/test_reload.py::test_file_in_denylist🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-in_denylist-mhbpze17and push.