⚡️ Speed up method _Distplot.make_rug by 33%
#82
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📄 33% (0.33x) speedup for
_Distplot.make_ruginplotly/figure_factory/_distplot.py⏱️ Runtime :
263 microseconds→198 microseconds(best of354runs)📝 Explanation and details
The optimized code achieves a 32% speedup by eliminating redundant attribute lookups and computations within the loop.
Key optimizations:
Pre-fetching attributes to local variables: Moving
self.hist_data,self.group_labels,self.colors, etc. to local variables outside the loop eliminates repeated attribute lookups. In Python, local variable access is significantly faster than attribute access throughself..Pre-computing values:
n_colors = len(colors)calculates the color list length once instead of inside each loop iterationshowlegend_valueis computed once outside the loop rather than evaluating the boolean expression repeatedlylen_xdata = len(xdata)caches the length to avoid callinglen()twice per iterationUsing dictionary literals instead of
dict(): Replacingdict()constructor calls with dictionary literal syntax{}provides a small performance boost.Performance impact by test case:
The optimization is particularly effective for scenarios with multiple traces or complex data structures, making it ideal for typical plotting workloads where users generate plots with multiple data series.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
🔎 Concolic Coverage Tests and Runtime
codeflash_concolic_grpsys06/tmpyc5q9bww/test_concolic_coverage.py::test__Distplot_make_rugTo edit these changes
git checkout codeflash/optimize-_Distplot.make_rug-mhg7f0wzand push.