import Mathlib.Computability.Encoding import Mathlib.Logic.Equiv.Fin.Basic import Mathlib.Tactic.FinCases import OAI.Computability.BinPacking.PCP.AlphabetRetraction import OAI.Computability.BinPacking.PCP.FiniteGraph import OAI.Computability.BinPacking.Reductions.BinaryCoordinates namespace OAI namespace BinPackingGames.Foundations.PCP.GraphTables open BinPackingGames.Foundations.Complexity abbrev Label := Fin 64 abbrev RelationTable := Vector Bool 4096 def relationIndex : Label × Label ≃ Fin 4096 := finProdFinEquiv theorem relationIndex_val (a b : Label) : (relationIndex (a, b)).val = b.val + 64 * a.val := rfl def relationAt (table : RelationTable) (a b : Label) : Bool := table[relationIndex (a, b)] def relationOf (predicate : Label → Label → Bool) : RelationTable := Vector.ofFn (fun i => predicate (relationIndex.symm i).1 (relationIndex.symm i).2) @[simp] theorem relationAt_relationOf (predicate : Label → Label → Bool) (a b : Label) : relationAt (relationOf predicate) a b = predicate a b := by simp [relationAt, relationOf] structure DartRow (vertices darts : Nat) where tail : Fin vertices reverseIndex : Fin darts relation : RelationTable abbrev Rows (vertices darts : Nat) := Vector (DartRow vertices darts) darts def reverseAt {n m : Nat} (rows : Rows n m) (e : Fin m) : Fin m := rows[e].reverseIndex def acceptsAt {n m : Nat} (rows : Rows n m) (e : Fin m) (a b : Label) : Bool := relationAt rows[e].relation a b def Valid {n m : Nat} (rows : Rows n m) : Prop := (∀ e, reverseAt rows (reverseAt rows e) = e) ∧ (∀ e a b, acceptsAt rows (reverseAt rows e) b a = acceptsAt rows e a b) instance {n m : Nat} (rows : Rows n m) : Decidable (Valid rows) := by unfold Valid infer_instance structure Table where vertices : Nat darts : Nat rows : Rows vertices darts valid : Valid rows def rowList (table : Table) : List (DartRow table.vertices table.darts) := table.rows.toList @[simp] theorem rowList_length (table : Table) : (rowList table).length = table.darts := by simp [rowList] def semantics (table : Table) : ConstraintGraph (Fin table.vertices) (Fin table.darts) Label where reverse := { toFun := reverseAt table.rows invFun := reverseAt table.rows left_inv := table.valid.1 right_inv := table.valid.1 } reverse_involutive := table.valid.1 tail e := table.rows[e].tail accepts := acceptsAt table.rows reverse_accepts := table.valid.2 @[simp] theorem semantics_reverse (table : Table) (e : Fin table.darts) : (semantics table).reverse e = table.rows[e].reverseIndex := rfl @[simp] theorem semantics_tail (table : Table) (e : Fin table.darts) : (semantics table).tail e = table.rows[e].tail := rfl @[simp] theorem semantics_accepts (table : Table) (e : Fin table.darts) (a b : Label) : (semantics table).accepts e a b = relationAt table.rows[e].relation a b := rfl def graphRows {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) : Rows n m := Vector.ofFn (fun e => ⟨G.tail e, G.reverse e, relationOf (G.accepts e)⟩) @[simp] theorem reverseAt_graphRows {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) (e : Fin m) : reverseAt (graphRows G) e = G.reverse e := by simp [reverseAt, graphRows] @[simp] theorem acceptsAt_graphRows {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) (e : Fin m) (a b : Label) : acceptsAt (graphRows G) e a b = G.accepts e a b := by simp [acceptsAt, graphRows] theorem graphRows_valid {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) : Valid (graphRows G) := by constructor · intro e simpa using G.reverse_involutive e · intro e a b simpa using G.reverse_accepts e a b def ofGraph {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) : Table := ⟨n, m, graphRows G, graphRows_valid G⟩ @[simp] theorem semantics_ofGraph_reverse {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) (e : Fin m) : (semantics (ofGraph G)).reverse e = G.reverse e := by exact reverseAt_graphRows G e @[simp] theorem semantics_ofGraph_tail {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) (e : Fin m) : (semantics (ofGraph G)).tail e = G.tail e := by change (graphRows G)[e.val].tail = G.tail e simp only [graphRows, Vector.getElem_ofFn] @[simp] theorem semantics_ofGraph_accepts {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) (e : Fin m) (a b : Label) : (semantics (ofGraph G)).accepts e a b = G.accepts e a b := by exact acceptsAt_graphRows G e a b @[simp] theorem semantics_ofGraph_edgeSatisfied {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) (labeling : Fin n → Label) (e : Fin m) : (semantics (ofGraph G)).edgeSatisfied labeling e = G.edgeSatisfied labeling e := by simp [ConstraintGraph.edgeSatisfied, ConstraintGraph.head] private theorem constraintGraph_ext {V E A : Type*} {G H : ConstraintGraph V E A} (hr : ∀ e, G.reverse e = H.reverse e) (ht : G.tail = H.tail) (hp : G.accepts = H.accepts) : G = H := by cases G with | mk reverse hinv tail accepts htranspose => cases H with | mk reverse' hinv' tail' accepts' htranspose' => dsimp only at hr ht hp have he : reverse = reverse' := Equiv.ext hr cases he cases ht cases hp rfl @[simp] theorem semantics_ofGraph {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) : semantics (ofGraph G) = G := by apply constraintGraph_ext · exact semantics_ofGraph_reverse G · funext e exact semantics_ofGraph_tail G e · funext e a b exact semantics_ofGraph_accepts G e a b @[simp] theorem semantics_ofGraph_rejectionCount {n m : Nat} (G : ConstraintGraph (Fin n) (Fin m) Label) (labeling : Fin n → Label) : (semantics (ofGraph G)).rejectionCount labeling = G.rejectionCount labeling := by rw [semantics_ofGraph] rfl def enumeratedGraph {V E A : Type*} {n m : Nat} (G : ConstraintGraph V E A) (vertexOrder : V ≃ Fin n) (dartOrder : E ≃ Fin m) (labelOrder : A ≃ Label) : ConstraintGraph (Fin n) (Fin m) Label where reverse := (dartOrder.symm.trans G.reverse).trans dartOrder reverse_involutive e := by change dartOrder (G.reverse (dartOrder.symm (dartOrder (G.reverse (dartOrder.symm e))))) = e rw [dartOrder.symm_apply_apply, G.reverse_involutive, dartOrder.apply_symm_apply] tail e := vertexOrder (G.tail (dartOrder.symm e)) accepts e a b := G.accepts (dartOrder.symm e) (labelOrder.symm a) (labelOrder.symm b) reverse_accepts e a b := by change G.accepts (dartOrder.symm (dartOrder (G.reverse (dartOrder.symm e)))) (labelOrder.symm b) (labelOrder.symm a) = _ rw [dartOrder.symm_apply_apply] exact G.reverse_accepts _ _ _ theorem enumeratedGraph_edgeSatisfied {V E A : Type*} {n m : Nat} (G : ConstraintGraph V E A) (vertexOrder : V ≃ Fin n) (dartOrder : E ≃ Fin m) (labelOrder : A ≃ Label) (labeling : V → A) (e : E) : (enumeratedGraph G vertexOrder dartOrder labelOrder).edgeSatisfied (fun v => labelOrder (labeling (vertexOrder.symm v))) (dartOrder e) = G.edgeSatisfied labeling e := by simp [ConstraintGraph.edgeSatisfied, ConstraintGraph.head, enumeratedGraph] theorem enumeratedGraph_rejectionCount {V E A : Type*} [Fintype E] {n m : Nat} (G : ConstraintGraph V E A) (vertexOrder : V ≃ Fin n) (dartOrder : E ≃ Fin m) (labelOrder : A ≃ Label) (labeling : V → A) : (enumeratedGraph G vertexOrder dartOrder labelOrder).rejectionCount (fun v => labelOrder (labeling (vertexOrder.symm v))) = G.rejectionCount labeling := by classical unfold ConstraintGraph.rejectionCount symm apply Finset.card_equiv dartOrder intro e simp only [ConstraintGraph.mem_rejectedDarts, enumeratedGraph_edgeSatisfied] def ofEnumeratedGraph {V E A : Type*} {n m : Nat} (G : ConstraintGraph V E A) (vertexOrder : V ≃ Fin n) (dartOrder : E ≃ Fin m) (labelOrder : A ≃ Label) : Table := ofGraph (enumeratedGraph G vertexOrder dartOrder labelOrder) def bitWord (b : Bool) : Nat := if b then 1 else 0 def parseBit : Nat → Option Bool | 0 => some false | 1 => some true | _ => none @[simp] theorem parseBit_bitWord (b : Bool) : parseBit (bitWord b) = some b := by cases b <;> rfl @[simp] theorem parseBits_bitWords (bits : List Bool) : (bits.map bitWord).mapM parseBit = some bits := by induction bits with | nil => rfl | cons bit bits ih => simp [ih] def relationWords (relation : RelationTable) : List Nat := relation.toList.map bitWord @[simp] theorem relationWords_length (relation : RelationTable) : (relationWords relation).length = 4096 := by simp [relationWords] def parseRelation (words : List Nat) : Option RelationTable := do let bits ← words.mapM parseBit if length_ok : bits.length = 4096 then some ⟨bits.toArray, by simpa using length_ok⟩ else none @[simp] theorem parseRelation_encoded (relation : RelationTable) : parseRelation (relationWords relation) = some relation := by unfold parseRelation relationWords rw [parseBits_bitWords] simp exact Vector.toArray_toList def rowWords {n m : Nat} (row : DartRow n m) : List Nat := [row.tail.val, row.reverseIndex.val] ++ relationWords row.relation def parseRow (vertices darts : Nat) : List Nat → Option (DartRow vertices darts × List Nat) | tail :: reverseIndex :: words => do let tail ← parseLabel vertices tail let reverseIndex ← parseLabel darts reverseIndex let relation ← parseRelation (words.take 4096) return (⟨tail, reverseIndex, relation⟩, words.drop 4096) | _ => none @[simp] theorem parseRow_encoded {n m : Nat} (row : DartRow n m) (rest : List Nat) : parseRow n m (rowWords row ++ rest) = some (row, rest) := by cases row with | mk tail reverseIndex relation => have taken := List.take_left' (l₂ := rest) (relationWords_length relation) have dropped := List.drop_left' (l₂ := rest) (relationWords_length relation) simp [rowWords, parseRow, taken, dropped] def parseRows (vertices darts : Nat) : Nat → List Nat → Option (List (DartRow vertices darts) × List Nat) | 0, words => some ([], words) | count + 1, words => do let (row, words) ← parseRow vertices darts words let (rows, words) ← parseRows vertices darts count words return (row :: rows, words) @[simp] theorem parseRows_encoded {n m : Nat} (rows : List (DartRow n m)) (rest : List Nat) : parseRows n m rows.length (rows.flatMap rowWords ++ rest) = some (rows, rest) := by induction rows with | nil => rfl | cons row rows ih => simp [parseRows, List.append_assoc, ih] def tableWords (table : Table) : List Nat := [table.vertices, table.darts] ++ (rowList table).flatMap rowWords def tableBits (table : Table) : List Bool := encodeWords (tableWords table) def decodeTableWords : List Nat → Option Table | vertices :: darts :: words => do let (parsed, trailing) ← parseRows vertices darts darts words if trailing = [] then if length_ok : parsed.length = darts then let rows : Rows vertices darts := ⟨parsed.toArray, by simpa using length_ok⟩ if valid : Valid rows then some ⟨vertices, darts, rows, valid⟩ else none else none else none | _ => none @[simp] theorem decodeTableWords_encoded (table : Table) : decodeTableWords (tableWords table) = some table := by cases table with | mk vertices darts rows valid => have parsed := parseRows_encoded rows.toList [] simp only [Vector.length_toList, List.append_nil] at parsed simp [tableWords, rowList, decodeTableWords, parsed, valid, Vector.toArray_toList] def decodeTableBits (bits : List Bool) : Option Table := decodeWords bits >>= decodeTableWords @[simp] theorem decodeTableBits_encoded (table : Table) : decodeTableBits (tableBits table) = some table := by simp [decodeTableBits, tableBits] def encoding : Computability.Encoding Table Bool where encode := tableBits decode := decodeTableBits decode_encode := decodeTableBits_encoded theorem tableBits_injective : Function.Injective tableBits := encoding.encode_injective @[simp] theorem rowWords_length {n m : Nat} (row : DartRow n m) : (rowWords row).length = 4098 := by simp [rowWords] theorem rowsWords_length {n m : Nat} (rows : List (DartRow n m)) : (rows.flatMap rowWords).length = 4098 * rows.length := by induction rows with | nil => rfl | cons row rows ih => simp [ih, Nat.mul_add, Nat.add_comm] @[simp] theorem tableWords_length (table : Table) : (tableWords table).length = 2 + 4098 * table.darts := by simp only [tableWords, List.length_append, List.length_cons, List.length_nil, rowsWords_length, rowList_length] theorem tableWords_length_le_bits (table : Table) : 2 + 4098 * table.darts ≤ (tableBits table).length := by rw [tableBits, encodeWords_length, ← tableWords_length] omega theorem relationBits_length_le (relation : RelationTable) : (encodeWords (relationWords relation)).length ≤ 8192 := by have h := encodeWords_length_le (relationWords relation) 1 (by intro word hword obtain ⟨bit, _, rfl⟩ := List.mem_map.mp hword cases bit <;> decide) simpa only [relationWords_length] using h theorem rowBits_length_le {n m : Nat} (row : DartRow n m) : (encodeWords (rowWords row)).length ≤ n + m + 8192 := by have ht := row.tail.isLt have hr := row.reverseIndex.isLt have hp := relationBits_length_le row.relation simp only [rowWords, encodeWords_append, List.length_append, encodeWords, encodeWord_length, List.length_nil] at ⊢ omega theorem rowsBits_length_le {n m : Nat} (rows : List (DartRow n m)) : (encodeWords (rows.flatMap rowWords)).length ≤ rows.length * (n + m + 8192) := by induction rows with | nil => simp [encodeWords] | cons row rows ih => have hrow := rowBits_length_le row simp only [List.flatMap_cons, encodeWords_append, List.length_append, List.length_cons, Nat.add_mul, Nat.one_mul] omega theorem tableBits_length_le (table : Table) : (tableBits table).length ≤ table.vertices + table.darts + 2 + table.darts * (table.vertices + table.darts + 8192) := by have hrows := rowsBits_length_le (rowList table) rw [rowList_length] at hrows simp only [tableBits, tableWords, encodeWords_append, List.length_append, encodeWords, encodeWord_length, List.length_nil] omega theorem vertices_le_tableBits_length (table : Table) : table.vertices ≤ (tableBits table).length := by simp only [tableBits, tableWords, encodeWords_append, List.length_append, encodeWords, encodeWord_length, List.length_nil] omega theorem darts_le_tableBits_length (table : Table) : table.darts ≤ (tableBits table).length := by simp only [tableBits, tableWords, encodeWords_append, List.length_append, encodeWords, encodeWord_length, List.length_nil] omega end BinPackingGames.Foundations.PCP.GraphTables namespace BinPackingGames.Foundations.PCP.PortTables open PoweringWalks abbrev Label := GraphTables.Label def rowIndex (vertices ports : Nat) : Fin vertices × Fin ports ≃ Fin (vertices * ports) := finProdFinEquiv @[simp] theorem rowIndex_val (n d : Nat) (e : Fin n × Fin d) : (rowIndex n d e).val = e.2.val + d * e.1.val := rfl structure Table (vertices ports : Nat) where reverseIndex : Vector (Fin (vertices * ports)) (vertices * ports) relations : Vector GraphTables.RelationTable (vertices * ports) involutive : Function.Involutive (fun i : Fin (vertices * ports) => reverseIndex[i]) transpose : ∀ (i : Fin (vertices * ports)) (a b : Label), GraphTables.relationAt relations[reverseIndex[i]] b a = GraphTables.relationAt relations[i] a b variable {n d : Nat} def rotation (table : Table n d) (e : Fin n × Fin d) : Fin n × Fin d := (rowIndex n d).symm table.reverseIndex[rowIndex n d e] def accepts (table : Table n d) (e : Fin n × Fin d) (a b : Label) : Bool := GraphTables.relationAt table.relations[rowIndex n d e] a b @[simp] theorem rowIndex_rotation (table : Table n d) (e : Fin n × Fin d) : rowIndex n d (rotation table e) = table.reverseIndex[rowIndex n d e] := by exact (rowIndex n d).apply_symm_apply _ theorem rotation_involutive (table : Table n d) : Function.Involutive (rotation table) := by intro e simp only [rotation, Equiv.apply_symm_apply] exact (congrArg (rowIndex n d).symm (table.involutive (rowIndex n d e))).trans ((rowIndex n d).symm_apply_apply e) theorem accepts_rotation (table : Table n d) (e : Fin n × Fin d) (a b : Label) : accepts table (rotation table e) b a = accepts table e a b := by simpa only [accepts, rowIndex_rotation] using table.transpose (rowIndex n d e) a b def portGraph (table : Table n d) : PortGraph (Fin n) (Fin d) where rot := { toFun := rotation table invFun := rotation table left_inv := rotation_involutive table right_inv := rotation_involutive table } rot_involutive := rotation_involutive table @[simp] theorem portGraph_rot (table : Table n d) (e : Fin n × Fin d) : (portGraph table).rot e = rotation table e := rfl def baseGraph (table : Table n d) : ConstraintGraph (Fin n) (Fin n × Fin d) Label where reverse := (portGraph table).rot reverse_involutive := rotation_involutive table tail := Prod.fst accepts := accepts table reverse_accepts := accepts_rotation table @[simp] theorem baseGraph_reverse (table : Table n d) (e : Fin n × Fin d) : (baseGraph table).reverse e = rotation table e := rfl @[simp] theorem baseGraph_tail (table : Table n d) (e : Fin n × Fin d) : (baseGraph table).tail e = e.1 := rfl @[simp] theorem baseGraph_head (table : Table n d) (e : Fin n × Fin d) : (baseGraph table).head e = (rotation table e).1 := rfl @[simp] theorem baseGraph_accepts (table : Table n d) (e : Fin n × Fin d) (a b : Label) : (baseGraph table).accepts e a b = accepts table e a b := rfl def ofPortGraph (G : PortGraph (Fin n) (Fin d)) (predicate : (Fin n × Fin d) → Label → Label → Bool) (htranspose : ∀ e a b, predicate (G.rot e) b a = predicate e a b) : Table n d where reverseIndex := Vector.ofFn (fun i => rowIndex n d (G.rot ((rowIndex n d).symm i))) relations := Vector.ofFn (fun i => GraphTables.relationOf (predicate ((rowIndex n d).symm i))) involutive := by intro i simp only [Fin.getElem_fin, Vector.getElem_ofFn, Fin.eta, Equiv.symm_apply_apply] exact (congrArg (rowIndex n d) (G.rot_involutive ((rowIndex n d).symm i))).trans ((rowIndex n d).apply_symm_apply i) transpose := by intro i a b simp only [Fin.getElem_fin, Vector.getElem_ofFn, Fin.eta, Equiv.symm_apply_apply, GraphTables.relationAt_relationOf] exact htranspose ((rowIndex n d).symm i) a b @[simp] theorem rotation_ofPortGraph (G : PortGraph (Fin n) (Fin d)) (predicate : (Fin n × Fin d) → Label → Label → Bool) (htranspose : ∀ e a b, predicate (G.rot e) b a = predicate e a b) (e : Fin n × Fin d) : rotation (ofPortGraph G predicate htranspose) e = G.rot e := by simp only [rotation, ofPortGraph, Fin.getElem_fin, Vector.getElem_ofFn, Fin.eta, Equiv.symm_apply_apply] @[simp] theorem accepts_ofPortGraph (G : PortGraph (Fin n) (Fin d)) (predicate : (Fin n × Fin d) → Label → Label → Bool) (htranspose : ∀ e a b, predicate (G.rot e) b a = predicate e a b) (e : Fin n × Fin d) (a b : Label) : accepts (ofPortGraph G predicate htranspose) e a b = predicate e a b := by simp only [accepts, ofPortGraph, Fin.getElem_fin, Vector.getElem_ofFn, Fin.eta, Equiv.symm_apply_apply, GraphTables.relationAt_relationOf] def flatRows (table : Table n d) : GraphTables.Rows n (n * d) := Vector.ofFn (fun i => ⟨((rowIndex n d).symm i).1, table.reverseIndex[i], table.relations[i]⟩) @[simp] theorem reverseAt_flatRows (table : Table n d) (i : Fin (n * d)) : GraphTables.reverseAt (flatRows table) i = table.reverseIndex[i] := by simp [GraphTables.reverseAt, flatRows] @[simp] theorem acceptsAt_flatRows (table : Table n d) (i : Fin (n * d)) (a b : Label) : GraphTables.acceptsAt (flatRows table) i a b = GraphTables.relationAt table.relations[i] a b := by simp [GraphTables.acceptsAt, flatRows] theorem flatRows_valid (table : Table n d) : GraphTables.Valid (flatRows table) := by constructor · intro i simpa only [reverseAt_flatRows] using table.involutive i · intro i a b simpa only [reverseAt_flatRows, acceptsAt_flatRows] using table.transpose i a b def graphTable (table : Table n d) : GraphTables.Table := ⟨n, n * d, flatRows table, flatRows_valid table⟩ def tableWords (table : Table n d) : List Nat := GraphTables.tableWords (graphTable table) def tableBits (table : Table n d) : List Bool := GraphTables.tableBits (graphTable table) abbrev Input (ports : Nat) := (vertices : Nat) × Table vertices ports def inputBits {ports : Nat} (input : Input ports) : List Bool := tableBits input.2 theorem tableWords_eq (table : Table n d) : tableWords table = [n, n * d] ++ (flatRows table).toList.flatMap GraphTables.rowWords := rfl theorem tableWords_length (table : Table n d) : (tableWords table).length = 2 + 4098 * (n * d) := GraphTables.tableWords_length (graphTable table) theorem vertices_le_tableBits_length (table : Table n d) : n ≤ (tableBits table).length := GraphTables.vertices_le_tableBits_length (graphTable table) end BinPackingGames.Foundations.PCP.PortTables namespace BinPackingGames.Foundations.PCP.PortTableLookup private theorem flatMap_word {α β : Type*} (f : α → List β) (width j : Nat) (hj : j < width) : ∀ (rows : List α), (∀ a ∈ rows, (f a).length = width) → ∀ (i : Nat) (row : α), rows[i]? = some row → (rows.flatMap f)[width * i + j]? = (f row)[j]? := by intro rows induction rows with | nil => intro _ i row selected simp at selected | cons a rows ih => intro hwidth i row selected have ha : (f a).length = width := hwidth a (by simp) cases i with | zero => have heq : a = row := by simpa using selected subst row simp only [Nat.mul_zero, Nat.zero_add, List.flatMap_cons] exact List.getElem?_append_left (by omega) | succ i => have selected' : rows[i]? = some row := by simpa using selected have hskip : (f a).length ≤ width * (i + 1) + j := by rw [ha, Nat.mul_add, Nat.mul_one] omega have hoff : width * (i + 1) + j - (f a).length = width * i + j := by rw [ha, Nat.mul_add, Nat.mul_one] omega rw [List.flatMap_cons, List.getElem?_append_right hskip, hoff] exact ih (fun b hb => hwidth b (by simp [hb])) i row selected' variable {n d : Nat} theorem vertices_word (table : PortTables.Table n d) : (PortTables.tableWords table)[0]? = some n := rfl theorem darts_word (table : PortTables.Table n d) : (PortTables.tableWords table)[1]? = some (n * d) := rfl private theorem row_word (table : PortTables.Table n d) (i : Fin (n * d)) (j : Nat) (hj : j < 4098) : (PortTables.tableWords table)[2 + 4098 * i.val + j]? = (GraphTables.rowWords (PortTables.flatRows table)[i])[j]? := by rw [PortTables.tableWords_eq] change (n :: n * d :: (PortTables.flatRows table).toList.flatMap GraphTables.rowWords)[2 + 4098 * i.val + j]? = _ rw [show 2 + 4098 * i.val + j = (4098 * i.val + j + 1) + 1 by omega, List.getElem?_cons_succ, List.getElem?_cons_succ] apply flatMap_word GraphTables.rowWords 4098 j hj (PortTables.flatRows table).toList (fun row _ => GraphTables.rowWords_length row) i.val ((PortTables.flatRows table)[i]) simp only [Vector.getElem?_toList, Vector.getElem?_eq_getElem i.isLt, Fin.getElem_fin] theorem tail_word (table : PortTables.Table n d) (i : Fin (n * d)) : (PortTables.tableWords table)[2 + 4098 * i.val]? = some (((PortTables.rowIndex n d).symm i).1.val) := by have h := row_word table i 0 (by decide) simpa only [Nat.add_zero, GraphTables.rowWords, PortTables.flatRows, Fin.getElem_fin, Vector.getElem_ofFn, Fin.eta, List.cons_append, List.nil_append, List.getElem?_cons_zero] using h theorem reverse_word (table : PortTables.Table n d) (i : Fin (n * d)) : (PortTables.tableWords table)[3 + 4098 * i.val]? = some (table.reverseIndex[i].val) := by have h := row_word table i 1 (by decide) rw [show 2 + 4098 * i.val + 1 = 3 + 4098 * i.val by omega] at h simpa only [GraphTables.rowWords, PortTables.flatRows, Fin.getElem_fin, Vector.getElem_ofFn, Fin.eta, List.cons_append, List.nil_append, List.getElem?_cons_succ, List.getElem?_cons_zero] using h theorem relation_word (table : PortTables.Table n d) (i : Fin (n * d)) (j : Fin 4096) : (PortTables.tableWords table)[4 + 4098 * i.val + j.val]? = some (GraphTables.bitWord table.relations[i][j]) := by have h := row_word table i (j.val + 2) (by omega) rw [show 2 + 4098 * i.val + (j.val + 2) = 4 + 4098 * i.val + j.val by omega] at h simpa only [GraphTables.rowWords, GraphTables.relationWords, PortTables.flatRows, Fin.getElem_fin, Vector.getElem_ofFn, Fin.eta, List.cons_append, List.nil_append, List.getElem?_cons_succ, List.getElem?_map, Vector.getElem?_toList, Vector.getElem?_eq_getElem j.isLt, Option.map_some] using h theorem accepts_word (table : PortTables.Table n d) (e : Fin n × Fin d) (a b : PortTables.Label) : (PortTables.tableWords table)[4 + 4098 * (PortTables.rowIndex n d e).val + (GraphTables.relationIndex (a, b)).val]? = some (GraphTables.bitWord (PortTables.accepts table e a b)) := relation_word table (PortTables.rowIndex n d e) (GraphTables.relationIndex (a, b)) theorem rotation_head_word (table : PortTables.Table n d) (e : Fin n × Fin d) : (PortTables.tableWords table)[2 + 4098 * (table.reverseIndex[PortTables.rowIndex n d e]).val]? = some ((PortTables.rotation table e).1.val) := tail_word table (table.reverseIndex[PortTables.rowIndex n d e]) theorem rotor_lookups (table : PortTables.Table n d) (e : Fin n × Fin d) : (PortTables.tableWords table)[3 + 4098 * (PortTables.rowIndex n d e).val]? = some (table.reverseIndex[PortTables.rowIndex n d e].val) ∧ (PortTables.tableWords table)[2 + 4098 * (table.reverseIndex[PortTables.rowIndex n d e]).val]? = some ((PortTables.rotation table e).1.val) := ⟨reverse_word table (PortTables.rowIndex n d e), rotation_head_word table e⟩ end BinPackingGames.Foundations.PCP.PortTableLookup namespace BinPackingGames.Foundations.PCP.PortTables variable {n d : Nat} def HasPortTails (rows : GraphTables.Rows n (n * d)) : Prop := ∀ i : Fin (n * d), rows[i].tail = ((rowIndex n d).symm i).1 instance (rows : GraphTables.Rows n (n * d)) : Decidable (HasPortTails rows) := by unfold HasPortTails infer_instance @[simp] theorem flatRows_hasPortTails (table : Table n d) : HasPortTails (flatRows table) := by intro i simp [flatRows] def ofRows (rows : GraphTables.Rows n (n * d)) (valid : GraphTables.Valid rows) : Table n d where reverseIndex := Vector.ofFn (fun i => rows[i].reverseIndex) relations := Vector.ofFn (fun i => rows[i].relation) involutive := by intro i simp only [Fin.getElem_fin, Vector.getElem_ofFn] exact valid.1 i transpose := by intro i a b simp only [Fin.getElem_fin, Vector.getElem_ofFn] exact valid.2 i a b private theorem table_ext {table table' : Table n d} (hr : table.reverseIndex = table'.reverseIndex) (hp : table.relations = table'.relations) : table = table' := by cases table cases table' cases hr cases hp rfl @[simp] theorem ofRows_flatRows (table : Table n d) : ofRows (flatRows table) (flatRows_valid table) = table := by apply table_ext · apply Vector.ext intro i hi simp [ofRows, flatRows] · apply Vector.ext intro i hi simp [ofRows, flatRows] def extractInput (ports : Nat) : GraphTables.Table → Option (Input ports) | ⟨vertices, darts, rows, valid⟩ => if count_ok : darts = vertices * ports then let rows' : GraphTables.Rows vertices (vertices * ports) := count_ok ▸ rows let valid' : GraphTables.Valid rows' := by cases count_ok exact valid if HasPortTails rows' then some ⟨vertices, ofRows rows' valid'⟩ else none else none @[simp] theorem extractInput_graphTable (table : Table n d) : extractInput d (graphTable table) = some (⟨n, table⟩ : Input d) := by simp [extractInput, graphTable] def decodeInputBits (ports : Nat) (bits : List Bool) : Option (Input ports) := GraphTables.decodeTableBits bits >>= extractInput ports @[simp] theorem decodeInputBits_inputBits {ports : Nat} (input : Input ports) : decodeInputBits ports (inputBits input) = some input := by rcases input with ⟨vertices, table⟩ simp [decodeInputBits, inputBits, tableBits] def encoding (ports : Nat) : Computability.Encoding (Input ports) Bool where encode := inputBits decode := decodeInputBits ports decode_encode := decodeInputBits_inputBits theorem inputBits_injective (ports : Nat) : Function.Injective (@inputBits ports) := (encoding ports).encode_injective end BinPackingGames.Foundations.PCP.PortTables namespace BinPackingGames.Foundations.PCP.RawInitialTables open Target GraphTables def unitOrder : Unit ≃ Fin 1 where toFun _ := 0 invFun _ := () left_inv _ := rfl right_inv i := by fin_cases i; rfl def slotOrder : Slot ≃ Fin 3 where toFun | .first => 0 | .second => 1 | .third => 2 invFun i := if i = 0 then .first else if i = 1 then .second else .third left_inv s := by cases s <;> rfl right_inv i := by fin_cases i <;> rfl def binaryOrder (n : Nat) : (Fin n → Bool) ≃ Fin (2 ^ n) where toFun bits := (BinPackingGames.Integration.BinaryCoordinates.pack bits).toFin invFun index := BinPackingGames.Integration.BinaryCoordinates.unpack (BitVec.ofFin index) left_inv bits := BinPackingGames.Integration.BinaryCoordinates.unpack_pack bits right_inv index := by change (BinPackingGames.Integration.BinaryCoordinates.pack (BinPackingGames.Integration.BinaryCoordinates.unpack (BitVec.ofFin index))).toFin = index rw [BinPackingGames.Integration.BinaryCoordinates.pack_unpack] def labelOrder : AlphabetRetraction.Label64 ≃ GraphTables.Label := binaryOrder 6 def vertexOrder (F : Formula) : InitialGraph.Vertex F ≃ Fin (F.variables + F.clauses.length + 1) := ((finSumFinEquiv.sumCongr unitOrder).trans finSumFinEquiv) def eventOrder (F : Formula) : RandomEvent F ≃ Fin (F.clauses.length * 3) := ((Equiv.refl (Fin F.clauses.length)).prodCongr slotOrder).trans finProdFinEquiv def dartOrder (F : Formula) : InitialGraph.Dart F ≃ Fin (6 * F.clauses.length + 1) := (((((eventOrder F).prodCongr finTwoEquiv.symm).trans finProdFinEquiv).sumCongr unitOrder).trans finSumFinEquiv).trans (finCongr (by omega)) def raw64 (F : Formula) : ConstraintGraph (InitialGraph.Vertex F) (InitialGraph.Dart F) AlphabetRetraction.Label64 := AlphabetRetraction.pullback (InitialGraph.raw F) AlphabetRetraction.decode64 def table (F : Formula) : GraphTables.Table := GraphTables.ofEnumeratedGraph (raw64 F) (vertexOrder F) (dartOrder F) labelOrder @[simp] theorem table_vertices (F : Formula) : (table F).vertices = F.variables + F.clauses.length + 1 := rfl @[simp] theorem table_darts (F : Formula) : (table F).darts = 6 * F.clauses.length + 1 := rfl theorem table_vertices_positive (F : Formula) : 0 < (table F).vertices := by rw [table_vertices]; omega theorem table_darts_positive (F : Formula) : 0 < (table F).darts := by rw [table_darts]; omega theorem raw64_satisfiable_iff (F : Formula) : (raw64 F).Satisfiable ↔ F.Satisfiable := (AlphabetRetraction.satisfiable_pullback_iff (InitialGraph.raw F) AlphabetRetraction.decode64 AlphabetRetraction.encode64 AlphabetRetraction.decode_encode64).trans (InitialGraph.raw_satisfiable_iff F) theorem table_semantics (F : Formula) : GraphTables.semantics (table F) = (raw64 F).reindex (vertexOrder F) (dartOrder F) labelOrder := by change GraphTables.semantics (GraphTables.ofGraph (GraphTables.enumeratedGraph (raw64 F) (vertexOrder F) (dartOrder F) labelOrder)) = _ rw [GraphTables.semantics_ofGraph] rfl theorem table_satisfiable_iff (F : Formula) : (GraphTables.semantics (table F)).Satisfiable ↔ F.Satisfiable := by rw [table_semantics] exact ((raw64 F).satisfiable_reindex (vertexOrder F) (dartOrder F) labelOrder).trans (raw64_satisfiable_iff F) theorem initial_rejection (F : Formula) (unsat : ¬ F.Satisfiable) (labeling : Fin (table F).vertices → GraphTables.Label) : 1 ≤ (GraphTables.semantics (table F)).rejectionCount labeling := ConstraintGraph.rejectionCount_positive _ (fun h => unsat ((table_satisfiable_iff F).mp h)) labeling theorem initial_size (F : Formula) : (table F).vertices + (table F).darts = F.variables + 7 * F.clauses.length + 2 := by rw [table_vertices, table_darts] omega end BinPackingGames.Foundations.PCP.RawInitialTables namespace BinPackingGames.Foundations.PCP.RawInitialRows open Target GraphTables RawInitialTables abbrev Signs := Bool × Bool × Bool abbrev Names := Nat × Nat × Nat def clauseSigns {n : Nat} (c : Clause n) : Signs := ((c)[0].positive, (c)[1].positive, (c)[2].positive) def clauseNames {n : Nat} (c : Clause n) : Names := ((c)[0].variableIndex.val, (c)[1].variableIndex.val, (c)[2].variableIndex.val) def nameWord (names : Names) : Slot → Nat | .first => names.1 | .second => names.2.1 | .third => names.2.2 def decodedLabel (a : GraphTables.Label) : InitialGraph.Label := AlphabetRetraction.decode64 (labelOrder.symm a) def incidencePredicate (signs : Signs) (slot : Slot) (clauseLabel variableLabel : InitialGraph.Label) : Bool := InitialGraph.variableValid variableLabel && (((literalValue signs.1 clauseLabel.1 || literalValue signs.2.1 clauseLabel.2.1) || literalValue signs.2.2 clauseLabel.2.2) && decide (answerAt (InitialGraph.toClauseAnswer clauseLabel) slot = variableLabel.1)) def relationPredicate (signs : Signs) (slot : Slot) : Bool → GraphTables.Label → GraphTables.Label → Bool | false, a, b => incidencePredicate signs slot (decodedLabel a) (decodedLabel b) | true, a, b => incidencePredicate signs slot (decodedLabel b) (decodedLabel a) def relationWordsFor (signs : Signs) (slot : Slot) (orientation : Bool) : List Nat := relationWords (relationOf (relationPredicate signs slot orientation)) @[simp] theorem relationWordsFor_length (signs : Signs) (slot : Slot) (orientation : Bool) : (relationWordsFor signs slot orientation).length = 4096 := by exact relationWords_length _ def incidenceWords (n i : Nat) (names : Names) (signs : Signs) (slot : Slot) (orientation : Bool) : List Nat := [if orientation then nameWord names slot else n + i, 6 * i + 2 * (slotOrder slot).val + (if orientation then 0 else 1)] ++ relationWordsFor signs slot orientation def clauseWords (n i : Nat) (names : Names) (signs : Signs) : List Nat := incidenceWords n i names signs .first false ++ incidenceWords n i names signs .first true ++ incidenceWords n i names signs .second false ++ incidenceWords n i names signs .second true ++ incidenceWords n i names signs .third false ++ incidenceWords n i names signs .third true def dummyWords (n m : Nat) : List Nat := [n + m, 6 * m] ++ List.replicate 4096 1 end BinPackingGames.Foundations.PCP.RawInitialRows end OAI