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fix: isolate report cohorts and hash scored inputs - #3
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rudycelekli wants to merge 1 commit into
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The public reporter silently pools every historical engine/track directory. An old successful smoke run and a newer unsuccessful run therefore yield recall 0.500 instead of the current run's 0.000, mixing experiments and changing bootstrap inputs.
Select the newest run directory per literal engine/track label, retaining repeated passes within it. Do not revive stale successes when the latest directory is empty. Record selected paths, row counts and SHA-256 digests from the exact bytes scored in the JSON output. Document selection and install the wrapper's existing numpy dependency in offline CI so these new tests run there.
Four synthetic reporter regressions: 3 fail on exact upstream, 1 passes. Full Python 3.11 suite: 136 passed. Base-to-head diff check passes; independently reviewed and rerun. No provider calls or published tables changed. This preserves the existing bootstrap assumptions; it does not certify full cohort coverage or compatibility across independently selected tracks.
AI-assisted contribution; code and regression evidence reviewed before submission.