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5d5048e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 | 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
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