import OAI.Combinatorics.LowSpaceSubsetSum.Separators.SeparatorTraversalCost import OAI.Combinatorics.LowSpaceSubsetSum.Separators.SeparatorStoredMasks import OAI.Combinatorics.LowSpaceSubsetSum.Separators.SeparatorTerminal namespace OAI /-! # Composition of the separator's four interval traversals -/ namespace LowSpaceSubsetSum.SeparatorBlocks open SeparatorTraversal SeparatorIncidenceTable variable {α β : Type*} structure Block (α β : Type*) where size : ℕ left : α → Array ℕ right : β → Array ℕ left_sorted : ∀ x, Monotone (fun i : Fin (left x).size => (left x)[i.val]) right_sorted : ∀ y, Monotone (fun i : Fin (right y).size => (right y)[i.val]) def depth (b : Block α β) : ℕ := Nat.clog 2 b.size theorem transport_sorted (a b : Array ℕ) (he : a = b) (hs : Monotone (fun i : Fin a.size => a[i.val])) : Monotone (fun i : Fin b.size => b[i.val]) := by subst b exact hs /-- Family tables are computed once, then captured by the lookup functions. The runtime interval loop only indexes these stored arrays. -/ def ofFamily {g : ℕ} (family : Array (Finset (Fin g))) (mask₁ : α → Finset (Fin g)) (mask₂ : β → Finset (Fin g)) : Block α β := let leftStore := SeparatorStoredMasks.containsStore family let rightStore := SeparatorStoredMasks.avoidsStore family { size := family.size left := fun x => SeparatorStoredMasks.containsList leftStore (SeparatorStoredMasks.containsStore_size family) (mask₁ x) right := fun y => SeparatorStoredMasks.avoidsList rightStore (SeparatorStoredMasks.avoidsStore_size family) (mask₂ y) left_sorted := fun x => by exact transport_sorted _ _ (SeparatorStoredMasks.containsList_eq family (mask₁ x)).symm (table_monotone _ _ _) right_sorted := fun y => by exact transport_sorted _ _ (SeparatorStoredMasks.avoidsList_eq family (mask₂ y)).symm (table_monotone _ _ _) } def PairGood (blocks : List (Block α β)) (x : α) (y : β) : Prop := ∀ b ∈ blocks, ∃ j < b.size, j ∈ (b.left x).toList ∧ j ∈ (b.right y).toList def check (n : ℕ) (wx : α → ℤ) (wy : β → ℤ) (target : ℤ) : List (Block α β) → List α → List β → Result | [], xs, ys => SeparatorTerminal.bounded n wx wy target xs ys | b :: rest, xs, ys => if xs.length + ys.length ≤ 2 ^ n then SeparatorTraversal.run b.left b.right (fun _ => check n wx wy target rest) (depth b) 0 b.size xs ys else ⟨false, 0, 0⟩ theorem correct (n : ℕ) (wx : α → ℤ) (wy : β → ℤ) (target : ℤ) (blocks : List (Block α β)) (xs : List α) (ys : List β) (hsize : xs.length + ys.length ≤ 2 ^ n) : (check n wx wy target blocks xs ys).accepted = true ↔ ∃ x ∈ xs, ∃ y ∈ ys, PairGood blocks x y ∧ wx x + wy y = target := by induction blocks generalizing xs ys with | nil => simpa only [check, PairGood, List.not_mem_nil, IsEmpty.forall_iff, implies_true, true_and] using SeparatorTerminal.bounded_correct n wx wy target xs ys hsize | cons b rest ih => simp only [check, hsize, ↓reduceIte] rw [SeparatorTraversal.correct b.left b.right (fun _ => check n wx wy target rest) (fun x y => PairGood rest x y ∧ wx x + wy y = target) b.left_sorted b.right_sorted (2 ^ n) (fun _ xs ys hs => ih xs ys hs) (depth b) 0 b.size xs ys (by simpa only [Nat.sub_zero, depth] using Nat.le_pow_clog (by decide : 1 < 2) b.size) hsize] constructor · rintro ⟨j, _, hj, x, hx, y, hy, hxl, hyl, hr, hw⟩ refine ⟨x, hx, y, hy, ?_, hw⟩ intro b' hb' rcases List.mem_cons.mp hb' with rfl | hb' · exact ⟨j, hj, hxl, hyl⟩ · exact hr b' hb' · rintro ⟨x, hx, y, hy, hp, hw⟩ obtain ⟨j, hj, hxl, hyl⟩ := hp b (by simp) exact ⟨j, Nat.zero_le _, hj, x, hx, y, hy, hxl, hyl, (fun b' hb' => hp b' (by simp [hb'])), hw⟩ def chargeLeft (n : ℕ) : List (Block α β) → α → ℕ | [], _ => 6 * n + 7 | b :: rest, x => 1 + (2 * depth b + chargeLeft n rest x) * count (b.left x) 0 b.size def chargeRight (n : ℕ) : List (Block α β) → β → ℕ | [], _ => 6 * n + 7 | b :: rest, y => 1 + (2 * depth b + chargeRight n rest y) * count (b.right y) 0 b.size theorem sum_charge {γ : Type*} (inc : γ → Array ℕ) (charge : γ → ℕ) (zs : List γ) (d size : ℕ) : (zs.map (fun z => 1 + (2 * d + charge z) * count (inc z) 0 size)).sum = zs.length + 2 * d * mass inc 0 size zs (fun _ => 1) + mass inc 0 size zs charge := by induction zs with | nil => simp [mass] | cons z zs ih => simp only [List.map_cons, List.sum_cons, List.length_cons, mass] at * nlinarith theorem scans_le (n : ℕ) (wx : α → ℤ) (wy : β → ℤ) (target : ℤ) (blocks : List (Block α β)) (xs : List α) (ys : List β) : (check n wx wy target blocks xs ys).scans ≤ (xs.map (chargeLeft n blocks)).sum + (ys.map (chargeRight n blocks)).sum := by induction blocks generalizing xs ys with | nil => simpa [check, chargeLeft, chargeRight, List.map_const', List.sum_replicate, nsmul_eq_mul, Nat.mul_add, Nat.add_mul, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc, Nat.add_assoc, Nat.add_comm, Nat.add_left_comm] using SeparatorTerminal.bounded_scans n wx wy target xs ys | cons b rest ih => simp only [check] split_ifs · have h := SeparatorTraversal.scans_le b.left b.right (fun _ => check n wx wy target rest) b.left_sorted b.right_sorted (chargeLeft n rest) (chargeRight n rest) (fun _ => ih) (depth b) 0 b.size xs ys change _ ≤ (xs.map (fun x => 1 + (2 * depth b + chargeLeft n rest x) * count (b.left x) 0 b.size)).sum + (ys.map (fun y => 1 + (2 * depth b + chargeRight n rest y) * count (b.right y) 0 b.size)).sum rw [sum_charge b.left (chargeLeft n rest) xs (depth b) b.size, sum_charge b.right (chargeRight n rest) ys (depth b) b.size] nlinarith · dsimp omega def peakBound (n : ℕ) (blocks : List (Block α β)) : ℕ := 2 * 2 ^ n * ((blocks.map (fun b => depth b + 1)).sum) + 8 * (n + 1) * (2 ^ n + 1) theorem peak_le (n : ℕ) (wx : α → ℤ) (wy : β → ℤ) (target : ℤ) (blocks : List (Block α β)) (xs : List α) (ys : List β) : (check n wx wy target blocks xs ys).peak ≤ peakBound n blocks := by induction blocks generalizing xs ys with | nil => simpa [check, peakBound] using SeparatorTerminal.bounded_peak n wx wy target xs ys | cons b rest ih => simp only [check] split_ifs with hsize · have h := SeparatorTraversal.peak_le b.left b.right (fun _ => check n wx wy target rest) (peakBound n rest) (fun _ => ih) (depth b) 0 b.size xs ys simp only [peakBound, List.map_cons, List.sum_cons] at h ⊢ nlinarith · dsimp exact Nat.zero_le _ def capacityPeak (n C : ℕ) (blocks : List (Block α β)) : ℕ := 2 * C * ((blocks.map (fun b => depth b + 1)).sum) + 8 * (n + 1) * (C + 1) theorem peak_capacity (n C : ℕ) (wx : α → ℤ) (wy : β → ℤ) (target : ℤ) (blocks : List (Block α β)) (xs : List α) (ys : List β) (hsize : xs.length + ys.length ≤ C) (hC : C ≤ 2 ^ n) : (check n wx wy target blocks xs ys).peak ≤ capacityPeak n C blocks := by induction blocks generalizing xs ys with | nil => simpa [check, capacityPeak] using SeparatorTerminal.bounded_peak_capacity n C wx wy target xs ys hsize hC | cons b rest ih => simp only [check, hsize.trans hC, ↓reduceIte] have h := SeparatorTraversal.peak_le_capacity b.left b.right (fun _ => check n wx wy target rest) C (capacityPeak n C rest) (fun _ xs ys hs => ih xs ys hs) (depth b) 0 b.size xs ys hsize simp only [capacityPeak, List.map_cons, List.sum_cons] at h ⊢ nlinarith end LowSpaceSubsetSum.SeparatorBlocks end OAI