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… API client Cache normalized imported modules across prepare_module_for_optimization calls to eliminate redundant file I/O and AST parsing for shared imports. Move conditional library imports in comparator.py from inside the recursive comparator() function to module level to avoid per-call import machinery overhead. Use a module-level requests.Session in cfapi.py for HTTP connection pooling instead of creating new TCP/TLS connections per request. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
prepare_module_for_optimizationnow caches normalized imported modules inself.normalized_imports_cache, eliminating redundant file I/O + AST parse/unparse when multiple functions share helper modulescomparator()function body to module level, wrapped intry/except ImportErrorfor robustness — eliminates per-call import machinery overheadrequests.Sessionsomake_cfapi_requestreuses TCP/TLS connections instead of creating new ones per request (~100-300ms saved per call after the first)Test plan
uv run pytest tests/test_comparator.py -x -q— 169 passed, 6 skippedcomparator()works on basic types after import changesHAS_*flags correctly fall back toFalsewhen import fails (e.g., numba with incompatible numpy)🤖 Generated with Claude Code