⚡️ Speed up function transform_cmds by 22%
          #12
        
          
      
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📄 22% (0.22x) speedup for
transform_cmdsinpanel/command/__init__.py⏱️ Runtime :
886 microseconds→728 microseconds(best of33runs)📝 Explanation and details
The optimization achieves a 21% speedup through three key changes that reduce lookup overhead in the hot loop:
1. Set-based key lookup optimization: Replaced
arg in replacements.keys()witharg in replacements_keyswherereplacements_keys = set(replacements). Set membership testing is O(1) vs O(n) for dict.keys(), providing significant speedup when checking if arguments need replacement.2. Local method reference: Cached
transformed.appendas a local variableappend = transformed.append. This avoids repeated attribute lookups on thetransformedlist object during each append operation in the loop.3. String constant extraction: Moved the frequently-used string
'--anaconda-project'to a variableproject_prefixto avoid repeated string literal creation duringstartswith()checks.The line profiler confirms the impact: the critical line
if arg in replacements.keys()dropped from 19% to 15.4% of total runtime, and append operations became faster due to the cached method reference.Performance characteristics: The optimization is most effective for large-scale test cases where the loop processes many arguments - showing 25-52% speedups on tests with 300+ arguments. Small test cases (1-10 arguments) show modest 2-19% slowdowns due to the overhead of setup operations, but real-world usage typically involves processing longer argument lists where these optimizations shine.
The changes maintain identical functionality while making the argument processing loop more efficient through better data structure choices and reduced Python overhead.
✅ Correctness verification report:
⚙️ Existing Unit Tests and Runtime
test_cli.py::test_transformation🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-transform_cmds-mh9yq79iand push.