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docs: humanize README and code comments
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@@ -177,8 +177,7 @@ def _persist_calibration_feedback(
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findings: list[StaticFinding],
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verifications: list[VerificationResult],
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) -> list[FalsePositiveLearning]:
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# Turn this run's non-accepted verifier outcomes into scoped learnings and
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# merge them into the persistent ledger so the next scan demotes those scopes.
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# Store rejected or held findings as scoped learnings for the next scan.
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new_learnings = learnings_from_verifications(findings, verifications)
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merged = merge_false_positive_learnings(prior_learnings, new_learnings)
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write_false_positive_learnings(merged, ledger_path)
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