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| import OAI.Combinatorics.LowSpaceSubsetSum.Storage.FiniteSetCells | |
| import OAI.Combinatorics.LowSpaceSubsetSum.Search.ComputedParentFuels | |
| namespace OAI | |
| /-! # Constant-state loop limits and their live domain scans | |
| The length, binomial, and doubling loops retain scalar accumulators only. | |
| No leaf occurrence is enumerated. The three domain lists are retained | |
| through the scalar computation and released when the leaf limit returns. | |
| -/ | |
| namespace LowSpaceSubsetSum.ComputedFuelCells | |
| variable {n : ℕ} | |
| def lengthLoop {α : Type*} : List α → ℕ → ℕ → (ℕ × ℕ) × ℕ | |
| | [], value, work => ((value, work+1), 8) | |
| | _ :: xs, value, work => lengthLoop xs (value+1) (work+2) | |
| theorem lengthLoop_formula {α : Type*} (xs : List α) (value work : ℕ) : | |
| lengthLoop xs value work = ((value+xs.length, work+2*xs.length+1), 8) := by | |
| induction xs generalizing value work with | |
| | nil => simp only [lengthLoop, List.length_nil, Nat.add_zero, Nat.mul_zero] | |
| | cons x xs ih => | |
| simp only [lengthLoop, ih, List.length_cons] | |
| congr 2 <;> omega | |
| def powerLoop : ℕ → ℕ → ℕ → (ℕ × ℕ) × ℕ | |
| | 0, value, work => ((value, work+1), 8) | |
| | k+1, value, work => powerLoop k (2*value) (work+3) | |
| theorem powerLoop_formula (k value work : ℕ) : | |
| powerLoop k value work = ((value*2^k, work+3*k+1), 8) := by | |
| induction k generalizing value work with | |
| | zero => simp only [powerLoop, pow_zero, Nat.mul_one, Nat.mul_zero, Nat.add_zero] | |
| | succ k ih => | |
| simp only [powerLoop, ih, pow_succ] | |
| congr 2 <;> ring | |
| def chooseAcc (n : ℕ) : ℕ → CountedBinomial.State → CountedBinomial.State × ℕ | |
| | 0, s => (s, 16) | |
| | k+1, s => chooseAcc n k (CountedBinomial.step n s) | |
| theorem chooseAcc_value (n k : ℕ) (s : CountedBinomial.State) : | |
| (chooseAcc n k s).1 = CountedBinomial.runAcc n k s := by | |
| induction k generalizing s with | |
| | zero => rfl | |
| | succ k ih => exact ih _ | |
| theorem chooseAcc_cells (n k : ℕ) (s : CountedBinomial.State) : | |
| (chooseAcc n k s).2 ≤ 16 := by | |
| induction k generalizing s with | |
| | zero => exact le_rfl | |
| | succ k ih => exact ih _ | |
| def choose (n k : ℕ) : CountedBinomial.State × ℕ := | |
| if k ≤ n then chooseAcc n k CountedBinomial.initial else (⟨k, 0, 0⟩, 16) | |
| theorem choose_value (n k : ℕ) : (choose n k).1 = CountedBinomial.run n k := by | |
| simp only [choose, CountedBinomial.run] | |
| split | |
| · exact chooseAcc_value _ _ _ | |
| · rfl | |
| theorem choose_cells (n k : ℕ) : (choose n k).2 ≤ 16 := by | |
| rw [choose] | |
| split | |
| · exact chooseAcc_cells _ _ _ | |
| · exact le_rfl | |
| def leaf (L : RepresentationLeaf (Fin n)) : (ℕ × ℕ) × ℕ := | |
| let ts := FiniteSetCells.domain L.top | |
| let ms := FiniteSetCells.domain L.mixer | |
| let bs := FiniteSetCells.domain L.background | |
| let nt := lengthLoop ts.1.1 0 0 | |
| let nm := lengthLoop ms.1.1 0 0 | |
| let nb := lengthLoop bs.1.1 0 0 | |
| let a := choose nt.1.1 L.topCount | |
| let b := choose nm.1.1 L.localCount | |
| let c := powerLoop nb.1.1 1 0 | |
| ((a.1.value*b.1.value*c.1.1, | |
| ts.1.2+ms.1.2+bs.1.2+nt.1.2+nm.1.2+nb.1.2+ | |
| 8*a.1.steps+8*b.1.steps+c.1.2+12), | |
| ts.2+ms.2+bs.2+nt.2+nm.2+nb.2+a.2+b.2+c.2+6*n+32) | |
| theorem leaf_value (L : RepresentationLeaf (Fin n)) : | |
| (leaf L).1 = ComputedParentFuels.leaf L := by | |
| rw [ComputedParentFuels.leaf_formula] | |
| simp only [leaf, lengthLoop_formula, powerLoop_formula, FiniteSetCells.domain_value, | |
| RepresentationLeaf.domainSort_length, choose_value, CountedBinomial.run_value, | |
| Nat.zero_add, Nat.one_mul] | |
| theorem leaf_cells (L : RepresentationLeaf (Fin n)) : | |
| (leaf L).2 ≤ 256*(n+1)^2 := by | |
| have ht := FiniteSetCells.domain_cells L.top | |
| have hm := FiniteSetCells.domain_cells L.mixer | |
| have hb := FiniteSetCells.domain_cells L.background | |
| have ha := choose_cells (lengthLoop (FiniteSetCells.domain L.top).1.1 0 0).1.1 L.topCount | |
| have hbb := choose_cells (lengthLoop (FiniteSetCells.domain L.mixer).1.1 0 0).1.1 L.localCount | |
| simp only [lengthLoop_formula, Nat.zero_add] at ha hbb | |
| simp only [leaf, lengthLoop_formula, powerLoop_formula, Nat.zero_add] | |
| nlinarith only [ht, hm, hb, ha, hbb, Nat.zero_le n] | |
| def run (D : RepresentationParentData n) : (ComputedParentFuels.Values × ℕ) × ℕ := | |
| let a := leaf (D.leaves 0) | |
| let b := leaf (D.leaves 1) | |
| let c := leaf (D.leaves 2) | |
| let d := leaf (D.leaves 3) | |
| let f := a.1.1*b.1.1 | |
| let g := c.1.1*d.1.1 | |
| ((⟨f, g, f+g+1⟩, a.1.2+b.1.2+c.1.2+d.1.2+7), a.2+b.2+c.2+d.2+32) | |
| theorem run_value (D : RepresentationParentData n) : | |
| (run D).1 = ComputedParentFuels.run D := by | |
| simp only [run, leaf_value, ComputedParentFuels.run] | |
| theorem run_cells (D : RepresentationParentData n) (hn : 10000 ≤ n) : | |
| (run D).2 ≤ inputScale D.input^3 := by | |
| have h₀ := leaf_cells (D.leaves 0) | |
| have h₁ := leaf_cells (D.leaves 1) | |
| have h₂ := leaf_cells (D.leaves 2) | |
| have h₃ := leaf_cells (D.leaves 3) | |
| have hu : n+1 ≤ inputScale D.input := by unfold inputScale; omega | |
| have hu0 : 10000 ≤ inputScale D.input := by omega | |
| have hq := Nat.pow_le_pow_left hu 2 | |
| have hpos : 1 ≤ (n+1)^2 := Nat.one_le_pow _ _ (by omega) | |
| have hmajor : 1056*inputScale D.input^2 ≤ inputScale D.input^3 := by | |
| calc | |
| _ ≤ inputScale D.input*inputScale D.input^2 := Nat.mul_le_mul_right _ (by omega) | |
| _ = _ := (pow_succ' _ _).symm | |
| change _+_+_+_+32 ≤ _ | |
| nlinarith only [h₀, h₁, h₂, h₃, hq, hpos, hmajor] | |
| end LowSpaceSubsetSum.ComputedFuelCells | |
| end OAI | |