import OAI.Combinatorics.LowSpaceSubsetSum.Representation.RepresentationStoredInitialization namespace OAI /-! # Initialization retaining explicit shared arrays The row closure captures the shared right array. Row and reader callbacks reuse this array without rebuilding it. -/ namespace LowSpaceSubsetSum.RepresentationArrayInitialization variable {n : ℕ} private theorem key_apply (I : Instance n) (F : IndexedMask n) (P : ℤ) (mode : FilteredStream.Mode) (x : LeafRecord n × LeafRecord n) : (RepresentationKeys.pairKey I F P mode x).1 = FilteredStream.key (fun x => (RepresentationKeys.leafWeight I F x).1) (fun x => (RepresentationKeys.leafWeight I F x).1) P mode x := by cases mode <;> rfl def tree (I : Instance n) (F : IndexedMask n) (left right : Array (LeafRecord n)) (p P c : ℤ) (hs : FilteredRow.PrimarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p) (mode : FilteredStream.Mode) := FilteredStream.measuredInitialTree left right (RepresentationKeys.pairKey I F P mode) (RepresentationKeys.row I F right p P c hs mode) (Nat.clog 2 left.size) theorem tree_value (I : Instance n) (F : IndexedMask n) (left right : Array (LeafRecord n)) (p P c : ℤ) (hs : FilteredRow.PrimarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p) (ht : FilteredRow.SecondarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p P) (hP : 0 < P) (mode : FilteredStream.Mode) : (tree I F left right p P c hs mode).1 = (FilteredStream.start left right (fun x => (RepresentationKeys.leafWeight I F x).1) (fun x => (RepresentationKeys.leafWeight I F x).1) p P c hs ht hP mode).tree := by simp only [tree, FilteredStream.measuredInitialTree_value, RepresentationKeys.row_value, key_apply, FilteredStream.start, MergedReader.start, FilteredStream.rowArray] def start (I : Instance n) (F : IndexedMask n) (left right : Array (LeafRecord n)) (p P c : ℤ) (hs : FilteredRow.PrimarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p) (ht : FilteredRow.SecondarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p P) (hP : 0 < P) (mode : FilteredStream.Mode) : MergedReader.State (FilteredStream.key (fun x => (RepresentationKeys.leafWeight I F x).1) (fun x => (RepresentationKeys.leafWeight I F x).1) P mode) (FilteredStream.view right) (Nat.clog 2 left.size) × ℕ := let out := tree I F left right p P c hs mode let source := FilteredStream.start left right (fun x => (RepresentationKeys.leafWeight I F x).1) (fun x => (RepresentationKeys.leafWeight I F x).1) p P c hs ht hP mode have he : out.1 = source.tree := tree_value I F left right p P c hs ht hP mode (⟨out.1, he.symm ▸ source.valid, he.symm ▸ source.aligned, he.symm ▸ source.sorted⟩, out.2) theorem start_value (I : Instance n) (F : IndexedMask n) (left right : Array (LeafRecord n)) (p P c : ℤ) (hs : FilteredRow.PrimarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p) (ht : FilteredRow.SecondarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p P) (hP : 0 < P) (mode : FilteredStream.Mode) : (start I F left right p P c hs ht hP mode).1 = FilteredStream.start left right (fun x => (RepresentationKeys.leafWeight I F x).1) (fun x => (RepresentationKeys.leafWeight I F x).1) p P c hs ht hP mode := by have ext {key : (LeafRecord n × LeafRecord n) → ℤ} {a b : MergedReader.State key (FilteredStream.view right) (Nat.clog 2 left.size)} (h : a.tree = b.tree) : a = b := by cases a cases b cases h rfl apply ext exact tree_value I F left right p P c hs ht hP mode theorem start_work (I : Instance n) (F : IndexedMask n) (left right : Array (LeafRecord n)) (p P c : ℤ) (hs : FilteredRow.PrimarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p) (ht : FilteredRow.SecondarySorted right (fun x => (RepresentationKeys.leafWeight I F x).1) p P) (hP : 0 < P) (mode : FilteredStream.Mode) (hn : 10000 ≤ n) (hL : left.size ≤ 2 ^ n) (hR : right.size ≤ 2 ^ n) : (start I F left right p P c hs ht hP mode).2 ≤ inputScale I ^ 8 * (left.size + 1) := by have hw := FilteredStream.measuredInitialTree_work left right (RepresentationKeys.pairKey I F P mode) (RepresentationKeys.row I F right p P c hs mode) (inputScale I ^ 3) (inputScale I ^ 5) (fun x => RepresentationKeys.pairKey_scale I F P mode x hn) (fun x => RepresentationKeys.row_scale I F right p P c hs mode x hn hR) (Nat.clog 2 left.size) have hd := Nat.clog_le_of_le_pow hL have hsquare := Nat.pow_le_pow_left (Nat.add_le_add_right hd 1) 2 have hp := Tournament.padded_nodes_le left.size (tree I F left right p P c hs mode).1 rw [Tournament.nodes_exact, pow_succ] at hp have hpad : 2 ^ Nat.clog 2 left.size ≤ 2 * (left.size + 1) := by omega have hu : 10000 ≤ inputScale I := by unfold inputScale; omega have hnu : n + 1 ≤ inputScale I := by unfold inputScale; omega have hu1 : 1 ≤ inputScale I := by omega have h25 : inputScale I ^ 2 ≤ inputScale I ^ 5 := Nat.pow_le_pow_right hu1 (by decide) have h35 : inputScale I ^ 3 ≤ inputScale I ^ 5 := Nat.pow_le_pow_right hu1 (by decide) have hn2 := Nat.pow_le_pow_left hnu 2 have hc : 39 ≤ 39 * inputScale I ^ 5 := Nat.le_mul_of_pos_right _ (by positivity) have hscale : 92 * inputScale I ^ 5 ≤ inputScale I ^ 8 := by calc _ ≤ inputScale I * inputScale I ^ 5 := Nat.mul_le_mul_right _ (by omega) _ = inputScale I ^ 6 := (pow_succ' _ _).symm _ ≤ _ := Nat.pow_le_pow_right hu1 (by decide) have hpoly : 2 * (4 * (n + 1) ^ 2 + inputScale I ^ 5 + 2 * inputScale I ^ 3 + 39) ≤ inputScale I ^ 8 := by omega change (tree I F left right p P c hs mode).2 ≤ _ calc _ ≤ (4 * (Nat.clog 2 left.size + 1) ^ 2 + inputScale I ^ 5 + 2 * inputScale I ^ 3 + 39) * 2 ^ Nat.clog 2 left.size := hw _ ≤ (4 * (n + 1) ^ 2 + inputScale I ^ 5 + 2 * inputScale I ^ 3 + 39) * (2 * (left.size + 1)) := Nat.mul_le_mul (by omega) hpad _ = (2 * (4 * (n + 1) ^ 2 + inputScale I ^ 5 + 2 * inputScale I ^ 3 + 39)) * (left.size + 1) := by ring _ ≤ _ := Nat.mul_le_mul_right _ hpoly end LowSpaceSubsetSum.RepresentationArrayInitialization end OAI