openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /Walks /ColumnChunkBudgets.lean
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import OAI.NumberTheory.TwoPoint.Walks.ColumnChunks
import Mathlib.Data.Finset.Card
namespace OAI
/-! Exact decoder budgets for lists of actual perfect blocks. -/
namespace TwoPointCorrelations
open Finset
variable {α : Type*} [DecidableEq α]
omit [DecidableEq α] in
@[simp] theorem regularPieceCount_append (a b : List (List α ⊕ α)) :
regularPieceCount (a ++ b) = regularPieceCount a + regularPieceCount b := by
simp [regularPieceCount, List.filterMap_append]
omit [DecidableEq α] in
@[simp] theorem omittedPieceCount_append (a b : List (List α ⊕ α)) :
omittedPieceCount (a ++ b) = omittedPieceCount a + omittedPieceCount b := by
simp [omittedPieceCount, List.filterMap_append]
/-- Interval-shaped label occurrences imply the concrete omitted-run budget. -/
theorem block_omitted_piece_budget (l : List α) (omitted : Finset α)
(hinterval : ∀ i j k : Fin l.length, i ≤ j → j ≤ k →
l.get i = l.get k → l.get j = l.get i) :
omittedPieceCount (partitionColumnRuns (fun a => decide (a ∈ omitted))
(columnRunHeads (l.map some) none)) ≤ omitted.card := by
let runs := columnRunHeads (l.map some) none
have hn : (runs.filter (fun a => decide (a ∈ omitted))).Nodup :=
(columnRunHeads_nodup l hinterval).filter _
change ((partitionColumnRuns _ runs).filterMap _).length ≤ _
rw [partitionColumnRuns_omitted, ← List.toFinset_card_of_nodup hn]
apply card_le_card
intro a ha
exact of_decide_eq_true (List.mem_filter.mp (List.mem_toFinset.mp ha)).2
theorem block_regular_piece_budget (l : List α) (omitted : Finset α)
(hinterval : ∀ i j k : Fin l.length, i ≤ j → j ≤ k →
l.get i = l.get k → l.get j = l.get i) :
regularPieceCount (partitionColumnRuns (fun a => decide (a ∈ omitted))
(columnRunHeads (l.map some) none)) ≤ omitted.card + 1 := by
have ho := block_omitted_piece_budget l omitted hinterval
have hr := partitionColumnRuns_regular_count (fun a => decide (a ∈ omitted))
(columnRunHeads (l.map some) none)
have he := congrArg List.length (partitionColumnRuns_omitted
(fun a => decide (a ∈ omitted)) (columnRunHeads (l.map some) none))
change omittedPieceCount _ = _ at he
omega
def perfectChunkCount (chunks : List (List α ⊕ α)) : ℕ :=
(chunks.filterMap (Sum.elim some (fun _ => none))).length
/-- Across actual perfect blocks, each omitted class is charged only once
per block, and every regular segment is charged to an omitted run or a block start. -/
theorem columnChunk_piece_budgets (chunks : List (List α ⊕ α)) (omitted : Finset α)
(hinterval : ∀ l, Sum.inl l ∈ chunks → ∀ i j k : Fin l.length, i ≤ j → j ≤ k →
l.get i = l.get k → l.get j = l.get i) :
omittedPieceCount (columnChunkPieces (fun a => decide (a ∈ omitted)) chunks) ≤
omitted.card * perfectChunkCount chunks ∧
regularPieceCount (columnChunkPieces (fun a => decide (a ∈ omitted)) chunks) ≤
(omitted.card + 1) * perfectChunkCount chunks := by
induction chunks with
| nil => simp [columnChunkPieces, perfectChunkCount, omittedPieceCount, regularPieceCount]
| cons chunk rest ih =>
have hir := ih (fun l hl => hinterval l (List.mem_cons_of_mem _ hl))
cases chunk with
| inl l =>
have ho := block_omitted_piece_budget l omitted (hinterval l (List.mem_cons_self))
have hr := block_regular_piece_budget l omitted (hinterval l (List.mem_cons_self))
simp only [columnChunkPieces, List.flatMap_cons, Sum.elim_inl,
omittedPieceCount_append, regularPieceCount_append]
change _ ≤ omitted.card * (perfectChunkCount rest + 1) ∧
_ ≤ (omitted.card + 1) * (perfectChunkCount rest + 1)
constructor
· change omittedPieceCount (partitionColumnRuns _ _) +
omittedPieceCount (columnChunkPieces _ rest) ≤ _
calc
_ ≤ omitted.card + omitted.card * perfectChunkCount rest := Nat.add_le_add ho hir.1
_ = _ := by ring
· change regularPieceCount (partitionColumnRuns _ _) +
regularPieceCount (columnChunkPieces _ rest) ≤ _
calc
_ ≤ (omitted.card + 1) + (omitted.card + 1) * perfectChunkCount rest :=
Nat.add_le_add hr hir.2
_ = _ := by ring
| inr a =>
simpa [columnChunkPieces, perfectChunkCount, List.filterMap_cons, Sum.elim] using hir
/-- The full merge mask fits in the original column length. -/
theorem columnChunkPieces_length_le (omitted : α → Bool) (chunks : List (List α ⊕ α)) :
(columnChunkPieces omitted chunks).length ≤ (columnChunkEntries chunks).length := by
induction chunks with
| nil => rfl
| cons chunk rest ih =>
cases chunk with
| inl l =>
have hl := (partitionColumnRuns_length_le omitted (columnRunHeads (l.map some) none)).trans
(columnRunHeads_length_le (l.map some) none)
simp only [List.length_map] at hl
simpa only [columnChunkPieces, columnChunkEntries, List.flatMap_cons, Sum.elim_inl,
List.length_append, List.length_map] using Nat.add_le_add hl ih
| inr a =>
simpa [columnChunkPieces, columnChunkEntries] using ih.trans (Nat.le_succ _)
end TwoPointCorrelations
end OAI