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Allow one project database to analyze files under multiple Python versions, platforms, search paths, and inference settings while sharing physical source data.
Carry environment identity through parsing, module resolution, and type inference without relying on an ambient singleton.
Test Plan
Testing: Added multi-environment coverage and ran focused tests, Clippy, repository hooks, and performance benchmarks.
Current numbers
The percentage of diagnostics emitted that were expected errors held steady at 94.47%. The percentage of expected errors that received a diagnostic held steady at 89.19%. The number of fully passing files held steady at 95/134.
Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.
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Summary
Allow one project database to analyze files under multiple Python versions, platforms, search paths, and inference settings while sharing physical source data.
Carry environment identity through parsing, module resolution, and type inference without relying on an ambient singleton.
Test Plan
Testing: Added multi-environment coverage and ran focused tests, Clippy, repository hooks, and performance benchmarks.