import OAI.NumberTheory.TwoPoint.Walks.ColumnBoundaryEncoding import OAI.NumberTheory.TwoPoint.Bounds.CompressedRuns import OAI.NumberTheory.TwoPoint.Bounds.RunPartition namespace OAI /-! Cutting actual perfect blocks and preserving their exact run lists. -/ namespace TwoPointCorrelations variable {α : Type*} [DecidableEq α] /-- The previous label after reading a finite part of a column. -/ def columnFinalState : List (Option α × Bool) → Option α → Option α | [], previous => previous | (a, _) :: rest, _ => columnFinalState rest a /-- Streaming run compression composes at any cut, including imperfect entries. -/ theorem columnRunHeadsWithCuts_append (l r : List (Option α × Bool)) (previous : Option α) : columnRunHeadsWithCuts (l ++ r) previous = columnRunHeadsWithCuts l previous ++ columnRunHeadsWithCuts r (columnFinalState l previous) := by induction l generalizing previous with | nil => rfl | cons entry rest ih => rcases entry with ⟨a, cut⟩ cases a with | none => simpa [columnRunHeadsWithCuts, columnFinalState] using ih none | some a => simp only [List.cons_append, columnRunHeadsWithCuts, columnFinalState] split_ifs <;> simp only [ih, List.cons_append] /-- Mark every entry of a perfect block, forcing its first run to start afresh. -/ def perfectBlockCuts : List α → List (Option α × Bool) | [] => [] | a :: rest => (some a, true) :: rest.map (fun b => (some b, false)) theorem plainBlock_heads (l : List α) (previous : Option α) : columnRunHeadsWithCuts (l.map (fun a => (some a, false))) previous = columnRunHeads (l.map some) previous := by induction l generalizing previous with | nil => rfl | cons a rest ih => by_cases h : previous = some a <;> simp [columnRunHeadsWithCuts, columnRunHeads, h, ih] /-- A perfect block has its usual compressed run list regardless of the label just before it. Thus equal labels across block boundaries stay distinct runs. -/ theorem perfectBlockCuts_heads (l : List α) (previous : Option α) : columnRunHeadsWithCuts (perfectBlockCuts l) previous = columnRunHeads (l.map some) none := by cases l with | nil => rfl | cons a rest => simp [perfectBlockCuts, columnRunHeadsWithCuts, columnRunHeads, plainBlock_heads] /-- An actual column is a sequence of perfect blocks and individual imperfect entries. -/ def columnChunkCuts (chunks : List (List α ⊕ α)) : List (Option α × Bool) := chunks.flatMap (Sum.elim perfectBlockCuts (fun _ => [(none, false)])) def columnChunkEntries (chunks : List (List α ⊕ α)) : List (α × Bool) := chunks.flatMap (Sum.elim (fun l => l.map (fun a => (a, true))) (fun a => [(a, false)])) def columnChunkRuns (chunks : List (List α ⊕ α)) : List α := chunks.flatMap (Sum.elim (fun l => columnRunHeads (l.map some) none) (fun _ => [])) omit [DecidableEq α] in theorem perfectBlockCuts_values (l : List α) : (perfectBlockCuts l).map Prod.fst = l.map some := by cases l <;> simp [perfectBlockCuts, List.map_map, Function.comp_def] omit [DecidableEq α] in theorem columnChunkCuts_values (chunks : List (List α ⊕ α)) : (columnChunkCuts chunks).map Prod.fst = (columnChunkEntries chunks).map (fun a => if a.2 then some a.1 else none) := by induction chunks with | nil => rfl | cons chunk rest ih => cases chunk <;> simp [columnChunkCuts, columnChunkEntries, Sum.elim, perfectBlockCuts_values, List.map_map, Function.comp_def] at ih ⊢ <;> exact ih /-- Compression of the assembled column is exactly the concatenation of its independently compressed perfect blocks. -/ theorem columnChunkCuts_heads (chunks : List (List α ⊕ α)) (previous : Option α) : columnRunHeadsWithCuts (columnChunkCuts chunks) previous = columnChunkRuns chunks := by induction chunks generalizing previous with | nil => rfl | cons chunk rest ih => cases chunk with | inl block => change columnRunHeadsWithCuts (perfectBlockCuts block ++ columnChunkCuts rest) previous = columnRunHeads (block.map some) none ++ columnChunkRuns rest rw [columnRunHeadsWithCuts_append, perfectBlockCuts_heads, ih] | inr a => simpa [columnChunkCuts, columnRunHeadsWithCuts, columnChunkRuns] using ih none /-- Apply the omitted-label cut to every actual compressed perfect block. -/ def columnChunkPieces (omitted : α → Bool) (chunks : List (List α ⊕ α)) : List (List α ⊕ α) := chunks.flatMap (Sum.elim (fun l => partitionColumnRuns omitted (columnRunHeads (l.map some) none)) (fun _ => [])) theorem columnChunkPieces_flatten (omitted : α → Bool) (chunks : List (List α ⊕ α)) : (columnChunkPieces omitted chunks).flatMap (Sum.elim id List.singleton) = columnRunHeadsWithCuts (columnChunkCuts chunks) none := by rw [columnChunkCuts_heads] induction chunks with | nil => rfl | cons chunk rest ih => cases chunk <;> simp [columnChunkPieces, columnChunkRuns, Sum.elim, List.flatMap_append, partitionColumnRuns_flatten] at ih ⊢ <;> exact ih end TwoPointCorrelations end OAI