import OAI.Combinatorics.LowSpaceSubsetSum.Counting.CountedRepresentationEmit import OAI.Combinatorics.LowSpaceSubsetSum.Storage.StoredDictionaryJoin namespace OAI /-! # Concrete stored-mask parent join The readers, modular keys, validity tests, signed sums, dictionary encoding and mutable snapshots below execute their counted implementations. The bound uses the counters of that same stopped run, including invalid reported tuples. -/ namespace LowSpaceSubsetSum.CountedParentJoin variable {n : ℕ} abbrev Child (n : ℕ) := LeafRecord n × LeafRecord n def cells (x : Child n) : ℕ := x.1.top.indices.length + x.1.localMask.indices.length + x.1.background.indices.length + x.2.top.indices.length + x.2.localMask.indices.length + x.2.background.indices.length + 4 theorem cells_le (x : Child n) : cells x ≤ 6 * n + 4 := by have h1 := x.1.top.length_le have h2 := x.1.localMask.length_le have h3 := x.1.background.length_le have h4 := x.2.top.length_le have h5 := x.2.localMask.length_le have h6 := x.2.background.length_le unfold cells omega abbrev State (I : Instance n) (F : IndexedMask n) (P : ℤ) (mode : FilteredStream.Mode) (right : Array (LeafRecord n)) (d : ℕ) := MergedReader.State (fun x => (RepresentationKeys.pairKey I F P mode x).1) (FilteredStream.view right) d /-- Deep-copy the mutable tournament; the immutable right array is shared. -/ def snapshot (I : Instance n) (F : IndexedMask n) (P : ℤ) (mode : FilteredStream.Mode) (right : Array (LeafRecord n)) {d : ℕ} (s : State I F P mode right d) : State I F P mode right d × ℕ := let out := Tournament.countedCopy (12 * n + 32) s.tree have he : out.1 = s.tree := Tournament.countedCopy_value _ _ (⟨out.1, he.symm ▸ s.valid, he.symm ▸ s.aligned, he.symm ▸ s.sorted⟩, out.2) theorem snapshot_value (I : Instance n) (F : IndexedMask n) (P : ℤ) (mode : FilteredStream.Mode) (right : Array (LeafRecord n)) {d : ℕ} (s : State I F P mode right d) : (snapshot I F P mode right s).1 = s := by cases s simp only [snapshot, Tournament.countedCopy_value] theorem snapshot_work (I : Instance n) (F : IndexedMask n) (P : ℤ) (mode : FilteredStream.Mode) (right : Array (LeafRecord n)) {d : ℕ} (s : State I F P mode right d) : (snapshot I F P mode right s).2 ≤ (12 * n + 32) * 2 ^ (d + 1) := by have he := Tournament.nodes_exact s.tree simp only [snapshot, Tournament.countedCopy_cells] exact Nat.mul_le_mul_left _ (by omega) private theorem report_polynomial {n u : ℕ} (hnu : n ≤ u) (hu : 10000 ≤ u) : u ^ 3 + 12 * u ^ 2 + (n + 2) + 2 * (3 * u + 1) + 19 ≤ u ^ 4 := by have hu1 : 1 ≤ u := by omega have h12 : u ≤ u ^ 2 := by simpa using Nat.pow_le_pow_right hu1 (by decide : 1 ≤ 2) have h23 : u ^ 2 ≤ u ^ 3 := Nat.pow_le_pow_right hu1 (by decide) have hlow : (n + 2) + 2 * (3 * u + 1) + 19 ≤ 30 * u ^ 3 := by omega have hscale : 43 * u ^ 3 ≤ u ^ 4 := by calc _ ≤ u * u ^ 3 := Nat.mul_le_mul_right _ (by omega) _ = _ := (pow_succ' u 3).symm omega theorem report_work (I : Instance n) (F : IndexedMask n) (C : ℕ) (x y : Child n) (r : StoredEntry.Dictionary I C) (hn : 10000 ≤ n) : (StoredEntry.report I C (CountedRepresentationEmit.emit I F) x y r).2 ≤ inputScale I ^ 4 := by have h := StoredEntry.report_work I C (inputScale I ^ 3) (CountedRepresentationEmit.emit I F) (fun x y => CountedRepresentationEmit.emit_scale I F x y hn) x y r have hw := (WeightEncoding.widths_le I).2 have hnu : n ≤ inputScale I := by unfold inputScale; omega exact h.trans ((Nat.add_le_add_right (Nat.add_le_add_left (Nat.mul_le_mul_left 2 hw) _) 19).trans (report_polynomial hnu (hn.trans hnu))) def run (I : Instance n) (F : IndexedMask n) (P t : ℤ) (C B : ℕ) (right₁ right₂ : Array (LeafRecord n)) {d₁ d₂ : ℕ} (fuel₁ fuel₂ control : ℕ) (s₁ : State I F P .direct right₁ d₁) (s₂ : State I F P (.complementary t) right₂ d₂) := StoredDictionaryJoin.run I C (RepresentationKeys.read I F P .direct right₁) (RepresentationKeys.pairKey I F P .direct) (RepresentationKeys.read I F P (.complementary t) right₂) (RepresentationKeys.pairKey I F P (.complementary t)) cells (CountedRepresentationEmit.emit I F) (snapshot I F P (.complementary t) right₂) B fuel₁ fuel₂ control s₁ s₂ private theorem query_polynomial {n u : ℕ} (hnu : n ≤ u) (hu : 10000 ≤ u) : 2 * (u ^ 5 + u ^ 5 + u ^ 3 + u ^ 3 + (6 * n + 4)) + 131 ≤ u ^ 6 := by have hu1 : 1 ≤ u := by omega have h15 : u ≤ u ^ 5 := by simpa using Nat.pow_le_pow_right hu1 (by decide : 1 ≤ 5) have h35 : u ^ 3 ≤ u ^ 5 := Nat.pow_le_pow_right hu1 (by decide) have hconst : 139 ≤ 139 * u ^ 5 := by exact Nat.le_mul_of_pos_right _ (by positivity) have hscale : 160 * u ^ 5 ≤ u ^ 6 := by calc _ ≤ u * u ^ 5 := Nat.mul_le_mul_right _ (by omega) _ = _ := (pow_succ' u 5).symm omega /-- Work is charged to the actual query/report/snapshot counters, on every run, without a successful sampling or valid-record hypothesis. -/ theorem run_work (I : Instance n) (F : IndexedMask n) (P t : ℤ) (C B : ℕ) (right₁ right₂ : Array (LeafRecord n)) {d₁ d₂ : ℕ} (fuel₁ fuel₂ control : ℕ) (s₁ : State I F P .direct right₁ d₁) (s₂ : State I F P (.complementary t) right₂ d₂) (hn : 10000 ≤ n) (hd₁ : d₁ ≤ n) (hd₂ : d₂ ≤ n) (hcopy : (12 * n + 32) * 2 ^ (d₂ + 1) ≤ B) : let out := run I F P t C B right₁ right₂ fuel₁ fuel₂ control s₁ s₂ out.2 ≤ inputScale I ^ 6 * (out.1.state.queries + out.1.state.reports + 1) + B * out.1.state.copies := by let read₁ := RepresentationKeys.read I F P .direct right₁ (d := d₁) let read₂ := RepresentationKeys.read I F P (.complementary t) right₂ (d := d₂) let key₁ := RepresentationKeys.pairKey I F P .direct let key₂ := RepresentationKeys.pairKey I F P (.complementary t) let report := StoredEntry.report I C (CountedRepresentationEmit.emit I F) let clone := snapshot I F P (.complementary t) right₂ (d := d₂) let out := run I F P t C B right₁ right₂ fuel₁ fuel₂ control s₁ s₂ have hc : ∀ s, (clone s).1 = s := snapshot_value I F P (.complementary t) right₂ have hw := CountedStreamJoin.run_work_queries read₁ key₁ read₂ key₂ cells report clone hc (inputScale I ^ 5) (inputScale I ^ 5) (inputScale I ^ 3) (inputScale I ^ 3) (6 * n + 4) (inputScale I ^ 4) B (fun s => RepresentationKeys.read_scale I F P .direct right₁ s hd₁ hn) (fun s => RepresentationKeys.read_scale I F P (.complementary t) right₂ s hd₂ hn) (fun x => RepresentationKeys.pairKey_scale I F P .direct x hn) (fun y => RepresentationKeys.pairKey_scale I F P (.complementary t) y hn) cells_le (fun x y a => report_work I F C x y a hn) (fun s => (snapshot_work I F P (.complementary t) right₂ s).trans hcopy) B fuel₁ fuel₂ control s₁ s₂ (StoredEntry.empty I C) have hv := congrArg StreamJoin.StoppedResult.state (CountedStreamJoin.runAcc_value read₁ key₁ read₂ key₂ cells report clone hc B fuel₁ fuel₂ control (StreamJoin.start s₁ s₂ (StoredEntry.empty I C))) rw [StreamJoin.stoppedAcc_eq] at hv change out.1.state = StreamJoin.run _ _ _ _ _ _ _ _ _ _ _ _ at hv rw [← hv] at hw change out.2 ≤ _ at hw change out.2 ≤ inputScale I ^ 6 * (out.1.state.queries + out.1.state.reports + 1) + B * out.1.state.copies have hnu : n ≤ inputScale I := by unfold inputScale; omega have hu : 10000 ≤ inputScale I := hn.trans hnu have hq := Nat.mul_le_mul_right out.1.state.queries (query_polynomial hnu hu) have hr := Nat.mul_le_mul_right out.1.state.reports (Nat.pow_le_pow_right (by omega : 0 < inputScale I) (by decide : 4 ≤ 6)) have h1 : 1 ≤ inputScale I ^ 6 := Nat.one_le_pow _ _ (by omega) simp only [Nat.mul_add, Nat.mul_one] omega end LowSpaceSubsetSum.CountedParentJoin end OAI