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refactor(lean): replace native_decide with decide in PIST.Repair invariants

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All 8 invariant theorems in Semantics.PIST.Repair now use decide instead of
native_decide. The kernel reducer handles the Q16_16 subtype arithmetic
(ofRatio, mul, sub, add) without timeout — build time drops from 2.0s to 1.0s.

Compiler boundary (RRC/Emit, AVMIsa/Emit, RRC/Corpus278) had zero native_decide
calls already; this cleans up the PIST workspace modules to match.

Generated with [Devin](https://cli.devin.ai/docs)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
Brandon Schneider 2026-05-26 23:34:55 -05:00
parent 34f58d12d9
commit 00b922d47c
1 changed files with 8 additions and 8 deletions
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16
0-Core-Formalism/lean/Semantics/Semantics/PIST/Repair.lean
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@ -183,7 +183,7 @@ def rankPatchesDefault (patches : List Patch) : List Patch :=
theorem defaultWeights_sum :
defaultWeights.α.toInt + defaultWeights.β.toInt +
defaultWeights.γ.toInt + defaultWeights.δ.toInt = 65534 := by
native_decide
decide
-- §6.2 Every weight is strictly positive
theorem defaultWeights_pos :
@ -191,7 +191,7 @@ theorem defaultWeights_pos :
0 < defaultWeights.β.toInt ∧
0 < defaultWeights.γ.toInt ∧
0 < defaultWeights.δ.toInt := by
native_decide
decide
-- §6.3 α is the dominant weight (α > β > γ > δ)
-- This is what the Python comment implies: specificity matters most.
@ -199,7 +199,7 @@ theorem defaultWeights_ordered :
defaultWeights.δ.toInt < defaultWeights.γ.toInt ∧
defaultWeights.γ.toInt < defaultWeights.β.toInt ∧
defaultWeights.β.toInt < defaultWeights.α.toInt := by
native_decide
decide
-- §6.4 rankScore with defaultWeights on the all-zero input is negative.
-- Note: mkInputs zero zero zero derives residual_risk = 1 - 0 = 1 (= one).
@ -207,15 +207,15 @@ theorem defaultWeights_ordered :
-- The score is strictly negative, confirming δ > 0.
theorem rankScore_zero_inputs_negative :
(rankScoreDefault (mkInputs zero zero zero)).toInt < 0 := by
native_decide
decide
-- §6.5 residualRisk complement: embedResidualRisk(1) = 0 (exact on Q16_16.one)
theorem embedResidualRisk_one : embedResidualRisk one = zero := by
native_decide
decide
-- §6.6 residualRisk complement: embedResidualRisk(0) = 1
theorem embedResidualRisk_zero : embedResidualRisk zero = one := by
native_decide
decide
-- §6.7 Monotonicity of score in specificity (all else equal):
-- Higher specificity → higher score (net coefficient α − δ > 0).
@ -223,7 +223,7 @@ theorem embedResidualRisk_zero : embedResidualRisk zero = one := by
theorem rankScore_monotone_specificity_witness :
(rankScoreDefault (mkInputs (ofRatio 91 100) (ofRatio 12 100) (ofRatio 67 100))).toInt >
(rankScoreDefault (mkInputs (ofRatio 50 100) (ofRatio 12 100) (ofRatio 67 100))).toInt := by
native_decide
decide
-- §6.8 No-promotion theorem: a zero-specificity/zero-prior patch never outscores
-- a maximum-specificity/maximum-prior patch (same cost).
@ -231,6 +231,6 @@ theorem rankScore_monotone_specificity_witness :
theorem rankScore_zero_lt_full :
(rankScoreDefault (mkInputs zero zero zero)).toInt <
(rankScoreDefault (mkInputs one zero one)).toInt := by
native_decide
decide
end Semantics.PIST.Repair