fix(rectification): use candidate dates for cross-midnight dasha scoring
Add date-isolated caches and regression coverage, align scoring identity, and freeze full research reruns while preserving historical artifacts. Record unresolved cache/receipt identity and end-to-end acceptance gaps for branch review only. Co-Authored-By: Claude Code <noreply@anthropic.com>
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@@ -19,7 +19,8 @@ def _row(time: str, score: float) -> dict:
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class RelativeSupportScaleTest(unittest.TestCase):
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def test_holdout_gate_keeps_proportional_default(self) -> None:
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self.assertEqual(POLICY_VERSION, "rectification-candidate-policy-v3")
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self.assertEqual(ALGORITHM_VERSION, "rectification-v5-matrix-scoring-7")
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# Cross-midnight date fix: scoring identity -7 -> -8, not a prior/policy change.
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self.assertEqual(ALGORITHM_VERSION, "rectification-v5-matrix-scoring-8")
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self.assertEqual(RELATIVE_SUPPORT_MODE, "proportional")
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def test_offset_top_two_lead_is_at_least_proportional(self) -> None:
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