import Mathlib import OAI.Computability.VertexCover.Machines.InitialTable namespace OAI section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section namespace VertexCover.Machine.InitialTable open UniqueGames.Foundations open PCP PCP.GraphTables FormulaParser TableMachine open RawInitialTables @[simp] theorem vertexOrder_variable (F : Target.Formula) (v : Fin F.variables) : (vertexOrder F (InitialGraph.variableVertex F v)).val = v.val := rfl @[simp] theorem vertexOrder_clause (F : Target.Formula) (v : Fin F.clauses.length) : (vertexOrder F (InitialGraph.clauseVertex F v)).val = F.variables+v.val := rfl @[simp] theorem vertexOrder_dummy (F : Target.Formula) : (vertexOrder F (InitialGraph.dummyVertex F)).val = F.variables+F.clauses.length := by change F.variables+F.clauses.length+0 = _ omega @[simp] theorem dartOrder_real (F : Target.Formula) (e : PCP.RandomEvent F) (b : Bool) : (dartOrder F (.inl (e,b))).val = (if b then 1 else 0)+2*((slotOrder e.2).val+3*e.1.val) := by cases b <;> rfl @[simp] theorem dartOrder_dummy (F : Target.Formula) : (dartOrder F (InitialGraph.dummyDart F)).val = 6*F.clauses.length := by change F.clauses.length*3*2+0 = _ omega theorem clause_lookup (F : Target.Formula) (j : Fin F.clauses.length) : (targetData F).2.getD j.val clauseDefault = targetClauseData (PCP.clauseAt F j) := by rw [List.getD_eq_getElem _ _ (by simp [targetData])] simp only [targetData,List.getElem_map,PCP.clauseAt] theorem lit_target (F : Target.Formula) (e : PCP.RandomEvent F) : (lit (targetClauseData (PCP.clauseAt F e.1)) (slotOrder e.2)).2 = (PCP.nameAt (PCP.clauseAt F e.1) e.2).val := by rcases e with ⟨j,s⟩ cases s <;> rfl theorem relation_target (F : Target.Formula) (e : PCP.RandomEvent F) (b : Bool) : relation (signs (targetClauseData (PCP.clauseAt F e.1)),(slotOrder e.2,b)) = relationOf (fun a c => (raw64 F).accepts (.inl (e,b)) (labelOrder.symm a) (labelOrder.symm c)) := by apply congrArg relationOf funext a c rcases e with ⟨j,s⟩ cases s <;> cases b <;> rfl theorem real_row (F : Target.Formula) (e : PCP.RandomEvent F) (b : Bool) : row (targetData F,(dartOrder F (.inl (e,b))).val) = (((vertexOrder F ((raw64 F).tail (.inl (e,b)))).val, (dartOrder F ((raw64 F).reverse (.inl (e,b)))).val), relationOf (fun a c => (raw64 F).accepts (.inl (e,b)) (labelOrder.symm a) (labelOrder.symm c))) := by let idx := (dartOrder F (.inl (e,b))).val have hs : (slotOrder e.2).val < 3 := (slotOrder e.2).isLt have hi : idx < 6*F.clauses.length := by dsimp [idx]; rw [dartOrder_real] have hj := e.1.isLt cases b <;> simp only [Bool.false_eq_true,↓reduceIte] <;> omega have hd : idx/6=e.1.val := by dsimp [idx]; rw [dartOrder_real] cases b <;> simp only [Bool.false_eq_true,↓reduceIte] <;> omega have hp : (⟨(idx/2)%3,Nat.mod_lt _ (by decide)⟩ : Fin 3)=slotOrder e.2 := by apply Fin.ext dsimp [idx]; rw [dartOrder_real] cases b <;> simp only [Bool.false_eq_true,↓reduceIte] <;> omega have hb : decide (idx%2=1)=b := by simp only [idx,dartOrder_real] cases b <;> simp only [Bool.false_eq_true,↓reduceIte,decide_eq_false_iff_not,decide_eq_true_eq] <;> omega change row (targetData F,idx) = _ dsimp only [row] rw [show (targetData F).2.length=F.clauses.length by simp [targetData],ite_eq_left hi,hd,hp,hb, clause_lookup,lit_target,relation_target] apply Prod.ext · apply Prod.ext · cases b <;> rfl · cases b with | false => change idx+1 = (dartOrder F (.inl (e,true))).val simp only [idx,dartOrder_real,Bool.false_eq_true,↓reduceIte] omega | true => change idx-1 = (dartOrder F (.inl (e,false))).val simp only [idx,dartOrder_real,Bool.false_eq_true,↓reduceIte] omega · rfl theorem dummy_row (F : Target.Formula) : row (targetData F,(dartOrder F (InitialGraph.dummyDart F)).val) = (((vertexOrder F ((raw64 F).tail (InitialGraph.dummyDart F))).val, (dartOrder F ((raw64 F).reverse (InitialGraph.dummyDart F))).val), relationOf (fun a c => (raw64 F).accepts (InitialGraph.dummyDart F) (labelOrder.symm a) (labelOrder.symm c))) := by rw [dartOrder_dummy] simp only [row,targetData,List.length_map,lt_self_iff_false,↓reduceIte] change _ = ((F.variables+F.clauses.length+0,F.clauses.length*3*2+0),_) congr 2; omega theorem row_target (F : Target.Formula) (i : Fin (table F).darts) : row (targetData F,i.val) = rowData (table F).rows[i] := by obtain ⟨d,rfl⟩ := (dartOrder F).surjective i have he : rowData (table F).rows[dartOrder F d] = (((vertexOrder F ((raw64 F).tail d)).val,(dartOrder F ((raw64 F).reverse d)).val), relationOf (fun a c => (raw64 F).accepts d (labelOrder.symm a) (labelOrder.symm c))) := by have getrow {n m : ℕ} (G : ConstraintGraph (Fin n) (Fin m) Label) (j : Fin m) : rowData (graphRows G)[j] = ((G.tail j |>.val,G.reverse j |>.val),relationOf (G.accepts j)) := by change rowData (graphRows G)[j.val] = _ simp only [graphRows,Vector.getElem_ofFn,rowData] change rowData (graphRows (enumeratedGraph (raw64 F) (vertexOrder F) (dartOrder F) labelOrder))[dartOrder F d] = _ rw [getrow] simp only [enumeratedGraph,Equiv.trans_apply,Equiv.symm_apply_apply] apply Eq.trans _ he.symm cases d with | inl eb => exact real_row F eb.1 eb.2 | inr u => cases u; exact dummy_row F theorem output_target (F : Target.Formula) : output (targetData F)=tableData (table F) := by apply Prod.ext · simp only [output,targetData,tableData,table_vertices,List.length_map] · apply List.ext_getElem · simp only [output,tableData,List.length_map,List.length_range,targetData] exact (table_darts F).symm.trans (Vector.length_toList (xs := (table F).rows)).symm · intro i h₁ h₂ simp only [output,List.getElem_map,List.getElem_range,tableData] at * simpa only [Fin.getElem_fin,Vector.getElem_toList] using row_target F ⟨i,by simpa [output,targetData,table_darts] using h₁⟩ noncomputable def initialPoly : Poly targetCode tableCode table := outputPoly.encodeCongr targetData (fun _ => rfl) (fun F => by change TableMachine.dataCode (output (targetData F)) = TableMachine.dataCode (tableData (table F)) rw [output_target]) end VertexCover.Machine.InitialTable end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end OAI