setupC_run (KFM S3: the scalar setup parameters as counts (math side))
ProvedNLogN.KFM.setupC_runThe following holds (Lean statement, in the scope of module Solutions.KFMS3):
theorem NLogN.KFM.setupC_run (n : ℕ) (hn : n0 ≤ n) (s : IState HS) (LD LR : List Item)
(hD : s.G NLogN.KFM.zD = .int (dP n : ℤ) :: LD) (hR : s.G zR = .int (IntMul.OpenAI.Glue.rP n : ℤ) :: LR) :
setupC.ok s ∧ setupC.run s = ((s.upd zQ (.int (srcQ (dP n) (IntMul.OpenAI.Glue.rP n) : ℤ) :: s.G zQ)).upd zMh
(.int (srcM (dP n) (IntMul.OpenAI.Glue.rP n) (IntMul.OpenAI.Glue.rP n / 2) : ℤ) :: s.G zMh)).upd zMf
(.int (srcM (dP n) (IntMul.OpenAI.Glue.rP n) (IntMul.OpenAI.Glue.rP n) : ℤ) :: s.G zMf)
Context. The lemma belongs to the part KFM S3: the scalar setup parameters as counts (math side).
Formalization Note. This lemma belongs to the item-language (IL) layer of the integer-multiplication-kappa campaign: tape-level programs (register programs over 64 item stacks of the NLogN multitape framework, definition bundles IntMul_HvdH_M_Defs1–IntMul_HvdH_M_Defs8) that implement the data-movement primitives of the OpenAI preprint Integer multiplication below (field moves, row split/merge, shifts, the uniform Proposition 11 interchange, Lemma 12 with fine -per-element costs, Gaussian record primitives, Proposition 14 pieces) with exact list denotations from the array-model bundles IntMul_Kappa_K_Defs* and explicit cost bounds. All names refer to the definition bundles up to IntMul_Kappa_K_Defs22.
-- OpenAI-preprint / κ-improvement development (integer-multiplication-kappa), generated by skeleton subtraction. import Definitions.Def_IntMul_Kappa_K_Defs22 set_option autoImplicit false set_option relaxedAutoImplicit false set_option maxHeartbeats 1000000 set_option linter.unusedSimpArgs false open NLogN open NLogN.KFM open IntMul IntMul.OpenAI.Glue open RS set_option maxHeartbeats 2000000
theorem NLogN.KFM.setupC_run (n : ℕ) (hn : n0 ≤ n) (s : IState HS) (LD LR : List Item)
(hD : s.G NLogN.KFM.zD = .int (dP n : ℤ) :: LD) (hR : s.G zR = .int (IntMul.OpenAI.Glue.rP n : ℤ) :: LR) :
setupC.ok s ∧ setupC.run s = ((s.upd zQ (.int (srcQ (dP n) (IntMul.OpenAI.Glue.rP n) : ℤ) :: s.G zQ)).upd zMh
(.int (srcM (dP n) (IntMul.OpenAI.Glue.rP n) (IntMul.OpenAI.Glue.rP n / 2) : ℤ) :: s.G zMh)).upd zMf
(.int (srcM (dP n) (IntMul.OpenAI.Glue.rP n) (IntMul.OpenAI.Glue.rP n) : ℤ) :: s.G zMf) := by sorry