openAI-math-dataset / lean /OAI /Combinatorics /LowSpaceSubsetSum /Separators /SeparatorIncidenceTable.lean
Download lean/OAI/Combinatorics/LowSpaceSubsetSum/Separators/SeparatorIncidenceTable.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 7.14 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/LowSpaceSubsetSum/Separators/SeparatorIncidenceTable.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Combinatorics/LowSpaceSubsetSum/Separators/SeparatorIncidenceTable.lean
-
curl -L -o SeparatorIncidenceTable.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/LowSpaceSubsetSum/Separators/SeparatorIncidenceTable.lean
7.14 kB
| import OAI.Combinatorics.LowSpaceSubsetSum.Streams.BinaryPivot | |
| import OAI.Combinatorics.LowSpaceSubsetSum.Streams.FilteredStream | |
| import Mathlib.Data.List.FinRange | |
| namespace OAI | |
| /-! | |
| # Stored separator incidence lists and logarithmic interval queries | |
| Each sampled family index occurs once in the stored list, even when two | |
| sampled sets are equal. Preprocessing scans indices in increasing order. | |
| Interval tests make two bounded binary searches in that stored list; they | |
| never scan the family. The counting view is used only in the proofs. | |
| -/ | |
| namespace LowSpaceSubsetSum.SeparatorIncidenceTable | |
| variable {α β : Type*} | |
| def table (family : Array β) (compatible : α → β → Bool) (x : α) : Array ℕ := | |
| (((List.finRange family.size).filter (fun j => compatible x family[j.val])).map Fin.val).toArray | |
| theorem table_mem (family : Array β) (compatible : α → β → Bool) (x : α) (j : ℕ) : | |
| j ∈ (table family compatible x).toList ↔ | |
| ∃ h : j < family.size, compatible x family[j] = true := by | |
| simp only [table, List.toList_toArray, List.mem_map, List.mem_filter, List.mem_finRange, | |
| true_and] | |
| constructor | |
| · rintro ⟨i, hi, rfl⟩ | |
| exact ⟨i.isLt, hi⟩ | |
| · rintro ⟨hj, hc⟩ | |
| exact ⟨⟨j, hj⟩, hc, rfl⟩ | |
| theorem table_length (family : Array β) (compatible : α → β → Bool) (x : α) : | |
| (table family compatible x).size ≤ family.size := by | |
| simpa only [table, List.size_toArray, List.length_map, List.length_finRange] using | |
| List.length_filter_le (fun j : Fin family.size => compatible x family[j.val]) | |
| (List.finRange family.size) | |
| theorem table_sorted (family : Array β) (compatible : α → β → Bool) (x : α) : | |
| (table family compatible x).toList.Pairwise (· < ·) := by | |
| simpa only [table, List.toList_toArray, List.pairwise_map, Fin.lt_def] using | |
| (List.pairwise_lt_finRange family.size).filter | |
| (fun j => compatible x family[j.val]) | |
| theorem table_monotone (family : Array β) (compatible : α → β → Bool) (x : α) : | |
| Monotone (fun i : Fin (table family compatible x).size => | |
| (table family compatible x)[i.val]) := by | |
| intro i j hij | |
| rcases Nat.eq_or_lt_of_le hij with heq | hlt | |
| · have he : i = j := Fin.ext heq | |
| rw [he] | |
| · have h := (table_sorted family compatible x).rel_getElem_of_lt | |
| (by simpa only [Array.length_toList] using i.isLt) | |
| (by simpa only [Array.length_toList] using j.isLt) hlt | |
| simpa only [Array.getElem_toList] using h.le | |
| def lower (a : Array ℕ) (r : ℕ) : ℕ := | |
| (BinaryPivot.search (fun i : Fin a.size => decide (a[i.val] < r)) | |
| (FilteredStream.steps a.size)).lo | |
| theorem lower_spec (a : Array ℕ) (hs : Monotone (fun i : Fin a.size => a[i.val])) | |
| (r : ℕ) (i : Fin a.size) : a[i.val] < r ↔ i.val < lower a r := by | |
| have hp : BinaryPivot.PrefixPredicate (fun i : Fin a.size => decide (a[i.val] < r)) := by | |
| intro i j hij hj | |
| exact decide_eq_true ((hs hij).trans_lt (of_decide_eq_true hj)) | |
| simpa only [lower, decide_eq_true_eq] using | |
| (BinaryPivot.search_exact _ hp _ (FilteredStream.steps_sufficient a.size)).2 i | |
| theorem lower_bounded (a : Array ℕ) (r : ℕ) : lower a r ≤ a.size := | |
| (BinaryPivot.search _ _).ordered.trans (BinaryPivot.search _ _).bounded | |
| def hit (a : Array ℕ) (lo hi : ℕ) : Bool := decide (lower a lo < lower a hi) | |
| theorem hit_iff (a : Array ℕ) (hs : Monotone (fun i : Fin a.size => a[i.val])) | |
| (lo hi : ℕ) : hit a lo hi = true ↔ ∃ j ∈ a.toList, lo ≤ j ∧ j < hi := by | |
| simp only [hit, decide_eq_true_eq] | |
| constructor | |
| · intro h | |
| have hin : lower a lo < a.size := h.trans_le (lower_bounded a hi) | |
| refine ⟨a[lower a lo], Array.getElem_mem_toList hin, ?_, ?_⟩ | |
| · have hspec := lower_spec a hs lo ⟨lower a lo, hin⟩ | |
| dsimp only at hspec | |
| omega | |
| · exact (lower_spec a hs hi ⟨lower a lo, hin⟩).mpr h | |
| · rintro ⟨j, hj, hlo, hhi⟩ | |
| obtain ⟨i, hi', he⟩ := List.mem_iff_getElem.mp hj | |
| have hin : i < a.size := by simpa using hi' | |
| rw [Array.getElem_toList] at he | |
| subst j | |
| have hl := lower_spec a hs lo ⟨i, hin⟩ | |
| have hh := (lower_spec a hs hi ⟨i, hin⟩).mp hhi | |
| dsimp only at hl hh | |
| omega | |
| def count (a : Array ℕ) (lo hi : ℕ) : ℕ := | |
| (a.toList.filter (fun j => decide (lo ≤ j ∧ j < hi))).length | |
| theorem hit_count (a : Array ℕ) (hs : Monotone (fun i : Fin a.size => a[i.val])) | |
| (lo hi : ℕ) : hit a lo hi = true ↔ 0 < count a lo hi := by | |
| rw [hit_iff a hs, count, List.length_pos_iff_exists_mem] | |
| simp only [List.mem_filter, decide_eq_true_eq] | |
| theorem count_split (a : Array ℕ) (lo mid hi : ℕ) (hl : lo ≤ mid) (hh : mid ≤ hi) : | |
| count a lo mid + count a mid hi = count a lo hi := by | |
| let all := a.toList.filter (fun j => decide (lo ≤ j ∧ j < hi)) | |
| have hleft : all.filter (fun j => decide (j < mid)) = | |
| a.toList.filter (fun j => decide (lo ≤ j ∧ j < mid)) := by | |
| dsimp only [all] | |
| rw [List.filter_filter] | |
| congr 1 | |
| funext j | |
| apply Bool.eq_iff_iff.mpr | |
| simp only [Bool.and_eq_true, decide_eq_true_eq] | |
| omega | |
| have hright : all.filter (fun j => !decide (j < mid)) = | |
| a.toList.filter (fun j => decide (mid ≤ j ∧ j < hi)) := by | |
| dsimp only [all] | |
| rw [List.filter_filter] | |
| congr 1 | |
| funext j | |
| apply Bool.eq_iff_iff.mpr | |
| simp only [Bool.and_eq_true, Bool.not_eq_true', decide_eq_false_iff_not, | |
| decide_eq_true_eq] | |
| omega | |
| have h := List.length_eq_length_filter_add (l := all) (fun j => decide (j < mid)) | |
| rw [hleft, hright] at h | |
| exact h.symm | |
| theorem count_zero_of_not_hit (a : Array ℕ) | |
| (hs : Monotone (fun i : Fin a.size => a[i.val])) (lo hi : ℕ) | |
| (h : hit a lo hi = false) : count a lo hi = 0 := by | |
| apply Nat.eq_zero_of_not_pos | |
| intro hp | |
| have ht := (hit_count a hs lo hi).mpr hp | |
| simp [h] at ht | |
| /-- Both compatibility modes are stored for every local bit mask. -/ | |
| def preprocess (g : ℕ) (family : Array β) (compatible : Fin (2 ^ g) → β → Bool) : | |
| Array (Array ℕ) := Array.ofFn (table family compatible) | |
| theorem preprocess_storage (g : ℕ) (family : Array β) | |
| (compatible : Fin (2 ^ g) → β → Bool) : | |
| ((preprocess g family compatible).toList.map Array.size).sum ≤ 2 ^ g * family.size := by | |
| simp only [preprocess, Array.toList_ofFn, List.map_ofFn, List.sum_ofFn] | |
| calc | |
| _ ≤ ∑ _ : Fin (2 ^ g), family.size := Finset.sum_le_sum (fun i _ => table_length _ _ i) | |
| _ = _ := by simp | |
| /-- Two modes on four blocks have the manuscript's stated flat capacity. -/ | |
| theorem eight_table_capacity (g : ℕ) (families : Fin 8 → Array β) | |
| (compatible : Fin 8 → Fin (2 ^ g) → β → Bool) | |
| (hν : ∀ i, (families i).size ≤ 10 * 2 ^ g + 1) : | |
| (∑ i : Fin 8, ((preprocess g (families i) (compatible i)).toList.map Array.size).sum) ≤ | |
| 8 * 2 ^ g * (10 * 2 ^ g + 1) := by | |
| calc | |
| _ ≤ ∑ _ : Fin 8, 2 ^ g * (10 * 2 ^ g + 1) := by | |
| apply Finset.sum_le_sum | |
| intro i _ | |
| exact (preprocess_storage g (families i) (compatible i)).trans | |
| (Nat.mul_le_mul_left _ (hν i)) | |
| _ = _ := by simp; ring | |
| end LowSpaceSubsetSum.SeparatorIncidenceTable | |
| end OAI | |