openAI-math-dataset / lean /OAI /Combinatorics /LowSpaceSubsetSum /Compression /CompressionContextCells.lean
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| import OAI.Combinatorics.LowSpaceSubsetSum.Compression.CompressionInitializationCells | |
| import OAI.Combinatorics.LowSpaceSubsetSum.Compression.CompressionContext | |
| import OAI.Combinatorics.LowSpaceSubsetSum.Storage.MeasuredSortCells | |
| namespace OAI | |
| /-! # Preparing a shared compression reader context | |
| Sort the right array once, then initialize rows by reading that same array. | |
| The trace includes the old array, list view and returned sorted array, as | |
| well as the direct tournament construction. | |
| -/ | |
| namespace LowSpaceSubsetSum.CompressionContextCells | |
| open CompressionContext (Context) | |
| def compare (P : ℤ) (x y : ℤ) : (Bool × ℕ) × ℕ := | |
| (CompressionContext.compare P x y,8) | |
| def sort (P : ℤ) (xs : Array ℤ) : (Array ℤ × ℕ) × ℕ := | |
| let out := MeasuredSortCells.run 1 (compare P) (Nat.clog 2 xs.size) xs.toList | |
| ((out.1.1.toArray,out.1.2+xs.size+1),out.2+3*(xs.size+1)+16) | |
| theorem sort_value (P : ℤ) (xs : Array ℤ) : | |
| (sort P xs).1 = CompressionContext.sort P xs := by | |
| simp only [sort, MeasuredSortCells.run_value, compare, CompressionContext.sort, | |
| MeasuredSort.sort, Array.length_toList] | |
| theorem sort_size (P : ℤ) (xs : Array ℤ) : (sort P xs).1.1.size = xs.size := by | |
| rw [sort_value, CompressionContext.sort_size] | |
| theorem sort_cells {n : ℕ} (I : Instance n) (hn : 10000 ≤ n) | |
| (P : ℤ) (xs : Array ℤ) (C : ℕ) (hsize : xs.size ≤ C) (hC : C ≤ 2^n) : | |
| (sort P xs).2 ≤ inputScale I^3*(C+1) := by | |
| let u := inputScale I | |
| have hu : n+1 ≤ u := by unfold u inputScale; omega | |
| have hd := Nat.clog_le_of_le_pow (hsize.trans hC) | |
| have h := MeasuredSortCells.run_cells 1 (compare P) 8 (fun _ _ => le_rfl) | |
| (Nat.clog 2 xs.size) xs.toList | |
| simp only [Array.length_toList] at h | |
| have hcoef : 24*(1+2)*(xs.size+1)+8 ≤ 80*(C+1) := by omega | |
| have hm := h.trans (Nat.mul_le_mul (show Nat.clog 2 xs.size+1 ≤ u by omega) hcoef) | |
| have hs : (sort P xs).2 ≤ 100*u*(C+1) := by | |
| change _+3*(xs.size+1)+16 ≤ _ | |
| nlinarith only [hm,hu,hsize,hn] | |
| have hp : 100*u ≤ u^3 := by | |
| have hl : 100 ≤ u^2 := by nlinarith only [hu,hn] | |
| have hm := Nat.mul_le_mul_right u hl | |
| simpa only [pow_succ] using hm | |
| exact hs.trans (Nat.mul_le_mul_right (C+1) hp) | |
| private theorem primary (P : ℤ) (xs : Array ℤ) : | |
| FilteredRow.PrimarySorted (sort P xs).1.1 id 1 := by | |
| rw [sort_value, CompressionContext.sort_value] | |
| exact ResidueSort.primary _ _ _ _ | |
| private theorem secondary (P : ℤ) (xs : Array ℤ) : | |
| FilteredRow.SecondarySorted (sort P xs).1.1 id 1 P := by | |
| rw [sort_value, CompressionContext.sort_value] | |
| exact ResidueSort.secondary _ _ _ _ | |
| def fromArrays (left right : Array ℤ) (P : ℤ) | |
| (hs : FilteredRow.PrimarySorted right id 1) | |
| (ht : FilteredRow.SecondarySorted right id 1 P) (hP : 0 < P) | |
| (mode : FilteredStream.Mode) : (Context P mode × ℕ) × ℕ := | |
| let out := CompressionInitializationCells.start left right P hs ht hP mode | |
| ((⟨right,Nat.clog 2 left.size,out.1.1⟩,out.1.2),out.2+4*(left.size+right.size+1)+32) | |
| theorem fromArrays_value (left right : Array ℤ) (P : ℤ) | |
| (hs : FilteredRow.PrimarySorted right id 1) | |
| (ht : FilteredRow.SecondarySorted right id 1 P) (hP : 0 < P) | |
| (mode : FilteredStream.Mode) : | |
| (fromArrays left right P hs ht hP mode).1 = | |
| CompressionContext.fromArrays left right P hs ht hP mode := by | |
| simp only [fromArrays,CompressionInitializationCells.start_value,CompressionContext.fromArrays] | |
| def build (left right : Array ℤ) (P : ℤ) (hP : 0 < P) (mode : FilteredStream.Mode) : | |
| (Context P mode × ℕ) × ℕ := | |
| let sorted := sort P right | |
| let out := fromArrays left sorted.1.1 P (primary P right) (secondary P right) hP mode | |
| ((out.1.1,sorted.1.2+out.1.2+2),sorted.2+out.2+4*(left.size+right.size+1)+32) | |
| theorem build_value (left right : Array ℤ) (P : ℤ) (hP : 0 < P) (mode : FilteredStream.Mode) : | |
| (build left right P hP mode).1 = CompressionContext.build left right P hP mode := by | |
| simp only [build,fromArrays_value,sort_value,CompressionContext.build] | |
| theorem build_cells {n : ℕ} (I : Instance n) (hn : 10000 ≤ n) | |
| (left right : Array ℤ) (P : ℤ) (hP : 0 < P) (mode : FilteredStream.Mode) | |
| (C : ℕ) (hL : left.size ≤ C) (hR : right.size ≤ C) (hC : C ≤ 2^n) : | |
| (build left right P hP mode).2 ≤ inputScale I^6*(C+1) := by | |
| let u := inputScale I | |
| have hu : 10000 ≤ u := by unfold u inputScale; omega | |
| have hs := sort_cells I hn P right C hR hC | |
| have hi := CompressionInitializationCells.start_cells I hn left (sort P right).1.1 P | |
| (primary P right) (secondary P right) hP mode C hL hC | |
| have hlen : (sort P right).1.1.size ≤ C := (sort_size P right).le.trans hR | |
| have hp : u^3 ≤ u^5 := Nat.pow_le_pow_right (by omega) (by decide) | |
| have hpoly : 128 ≤ u^5 := by | |
| have : u ≤ u^5 := by | |
| simpa only [pow_one] using Nat.pow_le_pow_right (show 1 ≤ u by omega) | |
| (by decide : 1 ≤ 5) | |
| omega | |
| have hm : 4*u^5 ≤ u^6 := by | |
| calc | |
| _ ≤ u*u^5 := Nat.mul_le_mul_right _ (by omega) | |
| _ = _ := (pow_succ' _ _).symm | |
| change _ ≤ u^6*(C+1) | |
| change (sort P right).2 + ((CompressionInitializationCells.start left (sort P right).1.1 | |
| P (primary P right) (secondary P right) hP mode).2+ | |
| 4*(left.size+(sort P right).1.1.size+1)+32)+4*(left.size+right.size+1)+32 ≤ _ | |
| have hsmall : (sort P right).2 + ((CompressionInitializationCells.start left (sort P right).1.1 | |
| P (primary P right) (secondary P right) hP mode).2+ | |
| 4*(left.size+(sort P right).1.1.size+1)+32)+4*(left.size+right.size+1)+32 ≤ | |
| 4*u^5*(C+1) := by | |
| nlinarith only [hs,hi,hL,hR,hlen,hpoly,Nat.mul_le_mul_right (C+1) hp] | |
| exact hsmall.trans (Nat.mul_le_mul_right (C+1) hm) | |
| end LowSpaceSubsetSum.CompressionContextCells | |
| end OAI | |