⚡️ Speed up function _load_libc by 6%
#36
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📄 6% (0.06x) speedup for
_load_libcinelectrum/harden_memory_linux.py⏱️ Runtime :
72.7 microseconds→68.9 microseconds(best of210runs)📝 Explanation and details
The optimization introduces a subtle but effective micro-optimization by caching the
prctlfunction reference locally to avoid repeated attribute lookups on the global_libcobject.Key changes:
_libc = Noneat module levellibcto hold the CDLL instanceprctl = libc.prctlas a local variable before setting its attributesargtypesandrestypeon the localprctlreference instead of_libc.prctlWhy this is faster:
In Python, attribute access involves dictionary lookups which have overhead. The original code performed
_libc.prctllookups twice (forargtypesandrestypeassignment). By cachingprctlas a local variable, we eliminate one level of attribute traversal per access. Local variable access is faster than global attribute access because Python can optimize local variable lookups more efficiently.Performance impact:
The line profiler shows the optimization saves time on the attribute assignment lines (from 9794ns + 1000ns to 1689ns + 830ns for the
argtypes/restypeassignments), contributing to the overall 5% speedup. The test results show consistent improvements across repeated calls, with the largest gains (6-7%) in scenarios involving many repeated invocations of_load_libc().Workload suitability:
This optimization is most beneficial for applications that call
_load_libc()frequently or where startup performance matters, as evidenced by the 6.65% improvement in the 500-iteration test case. Given this is a memory hardening utility in Electrum (a cryptocurrency wallet), the startup optimization could improve wallet initialization times.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-_load_libc-mhl7znrdand push.