import Mathlib import OAI.Computability.DirectedFeedback.Machines.MachinePaddedOverlay 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 section section section section section section section section section section section namespace DFVSGames.Foundations.Complexity.MachineLazyTable open Turing MachineComposition PCP open Reduction.MachineSubstitution (pushWord stepAux_pushWord) inductive Tape | input | output | source | vertices | darts | fuel | vertex | reverse | tail | old | relation | scratch | divided | quotient | newReverse | rowBuffer deriving DecidableEq instance : Fintype Tape := derive_fintype% Tape abbrev State (d : Nat) := MachineLazyRows.StreamState Unit d def clean (d : Nat) (positive : 0 < d) : State d := MachineLazyRows.streamClean d positive () theorem clean_pair (d : Nat) (positive : 0 < d) : ((clean d positive).1, (none : Option Bool)) = clean d positive := rfl def splitRoles : Fin 5 → Tape := ![.input, .source, .scratch, .vertices, .darts] def splitView : Tape → Option (Fin 5) | .input => some 0 | .source => some 1 | .scratch => some 2 | .vertices => some 3 | .darts => some 4 | _ => none def dummyRoles : Fin 6 → Tape := ![.tail, .reverse, .relation, .rowBuffer, .output, .scratch] def dummyView : Tape → Option (Fin 6) | .tail => some 0 | .reverse => some 1 | .relation => some 2 | .rowBuffer => some 3 | .output => some 4 | .scratch => some 5 | _ => none def oldRoles : Fin 10 → Tape := ![.tail, .old, .relation, .scratch, .divided, .quotient, .newReverse, .output, .rowBuffer, .source] theorem splitRoles_left (i : Fin 5) : splitView (splitRoles i) = some i := by fin_cases i <;> rfl theorem splitRoles_right (t : Tape) (i : Fin 5) (h : splitView t = some i) : splitRoles i = t := by cases t <;> fin_cases i <;> simp_all [splitView, splitRoles] theorem dummyRoles_left (i : Fin 6) : dummyView (dummyRoles i) = some i := by fin_cases i <;> rfl theorem dummyRoles_right (t : Tape) (i : Fin 6) (h : dummyView t = some i) : dummyRoles i = t := by cases t <;> fin_cases i <;> simp_all [dummyView, dummyRoles] theorem oldRoles_injective : Function.Injective oldRoles := by decide inductive Label (d : Nat) | split (label : MachineTableSplit.Label) | dartSeed | dartScan | dartRestore | vertexSeed | vertexScan | vertexRestore | fuelFirst | fuelSecond | seedCounters | guard | copyVertexFirst | copyVertexSecond | dummy (label : MachineDummyRows.Label d) | clearDummyTail | clearDummyRelation | oldRows (label : MachineLazyRows.VertexLabel d) | nextVertex | clearVertices | clearDarts | clearFuel | clearVertex | clearReverse deriving DecidableEq, Fintype def program (d : Nat) (positive : 0 < d) : Label d → TM2.Stmt (fun _ : Tape => Bool) (Label d) (State d) | .split label => MachineCloudPadding.Placement.statement splitRoles Label.split (some .dartSeed) (MachineTableSplit.program label) | .dartSeed => MachineUnaryAffineAt.seed .output 0 .dartScan | .dartScan => MachineUnaryAffineAt.scan .darts .scratch .output 2 .dartScan .dartRestore | .dartRestore => Reduction.MachineTransfer.loopAt .scratch .darts id false .dartRestore (some .vertexSeed) | .vertexSeed => MachineUnaryAffineAt.seed .output 0 .vertexScan | .vertexScan => MachineUnaryAffineAt.scan .vertices .scratch .output 1 .vertexScan .vertexRestore | .vertexRestore => Reduction.MachineTransfer.loopAt .scratch .vertices id false .vertexRestore (some .fuelFirst) | .fuelFirst => Reduction.MachineTransfer.loopAt .vertices .scratch id false .fuelFirst (some .fuelSecond) | .fuelSecond => MachineCopy.forkLoop .scratch .vertices .fuel false .fuelSecond (some .seedCounters) | .seedCounters => .push .vertex (fun _ => false) (.push .reverse (fun _ => false) (.goto fun _ => .guard)) | .guard => MachineUnaryCounter.guard .fuel .copyVertexFirst .clearVertices | .copyVertexFirst => Reduction.MachineTransfer.loopAt .vertex .scratch id false .copyVertexFirst (some .copyVertexSecond) | .copyVertexSecond => MachineCopy.forkLoop .scratch .vertex .tail false .copyVertexSecond (some (.dummy (MachineDummyRows.start d))) | .dummy label => MachineCloudPadding.Placement.statement dummyRoles Label.dummy (some .clearDummyTail) (MachineDummyRows.program d label) | .clearDummyTail => MachineDrain.drain .tail .clearDummyTail (some .clearDummyRelation) | .clearDummyRelation => MachineDrain.drain .relation .clearDummyRelation (some (.oldRows (0, none))) | .oldRows label => MachineLazyRows.vertexInstruction d positive (2 * d) d oldRoles Label.oldRows (some .nextVertex) label | .nextVertex => pushWord .reverse (List.replicate d true) (.push .vertex (fun _ => true) (.goto fun _ => .guard)) | .clearVertices => MachineDrain.drain .vertices .clearVertices (some .clearDarts) | .clearDarts => MachineDrain.drain .darts .clearDarts (some .clearFuel) | .clearFuel => MachineDrain.drain .fuel .clearFuel (some .clearVertex) | .clearVertex => MachineDrain.drain .vertex .clearVertex (some .clearReverse) | .clearReverse => MachineDrain.drain .reverse .clearReverse none def frame (input source output vertices darts fuel vertex reverse : List Bool) : Tape → List Bool | .input => input | .source => source | .output => output | .vertices => vertices | .darts => darts | .fuel => fuel | .vertex => vertex | .reverse => reverse | _ => [] def initialTapes (input : List Bool) : Tape → List Bool := frame input [] [] [] [] [] [] [] def loopTapes (d : Nat) (input : List Bool) (n m left v : Nat) (source output : List Bool) : Tape → List Bool := frame input source output (encodeWord n) (encodeWord m) (encodeWord left) (encodeWord v) (encodeWord (2 * d * v)) def finalTapes (input output : List Bool) : Tape → List Bool := frame input [] output [] [] [] [] [] private theorem joinTrace_inline_MachineLazyTable {X : Type} {f : X → X} {a b c : X} {s t : Nat} (first : f^[s] a = b) (second : f^[t] b = c) : f^[s + t] a = c := by rw [Nat.add_comm, Function.iterate_add_apply, first, second] theorem dummyTrace (d : Nat) (positive : 0 < d) (base : Tape → List Bool) (v e : Nat) (ht : base .tail = encodeWord v) (he : base .reverse = encodeWord e) (hr : base .relation = []) (hb : base .rowBuffer = []) (hs : base .scratch = []) : (advance (TM2.step (program d positive)))^[MachineDummyRows.steps v e (base .output) d + 1] (some ⟨some (.dummy (MachineDummyRows.start d)), clean d positive, base⟩) = some ⟨some .clearDummyTail, clean d positive, Function.update (Function.update (Function.update base .reverse (encodeWord (e + d))) .relation MachineDummyRows.trueBits) .output (base .output ++ MachineDummyRows.rowsBits v e d)⟩ := by have initial : MachineCloudPadding.Placement.tapes dummyView (MachineDummyRows.initialTapes v e (base .output)) base = base := by funext t cases t <;> simp [MachineCloudPadding.Placement.tapes, dummyView, MachineDummyRows.initialTapes, MachineDummyRows.fieldTapes, ht, he, hr, hb, hs] have final : MachineCloudPadding.Placement.tapes dummyView (MachineDummyRows.fieldTapes v (e + d) (base .output ++ MachineDummyRows.rowsBits v e d)) base = Function.update (Function.update (Function.update base .reverse (encodeWord (e + d))) .relation MachineDummyRows.trueBits) .output (base .output ++ MachineDummyRows.rowsBits v e d) := by funext t cases t <;> simp [MachineCloudPadding.Placement.tapes, dummyView, MachineDummyRows.fieldTapes, ht, hb, hs] have run := MachineCloudPadding.Placement.trace dummyRoles dummyView dummyRoles_left dummyRoles_right Label.dummy (some .clearDummyTail) base (MachineDummyRows.program d) (program d positive) (fun _ => rfl) _ _ _ (MachineDummyRows.allTrace d v e (base .output) (clean d positive).1 none) simpa only [clean_pair, MachineCloudPadding.Placement.configuration, MachineCloudPadding.Placement.label, initial, final] using run theorem oldTrace {n m : Nat} (d : Nat) (positive : 0 < d) (base : Tape → List Bool) (rows : Fin d → GraphTables.DartRow n m) (rest : List Bool) (hi : base .source = MachineLazyRows.recordsInput (List.ofFn rows) ++ rest) (empty : ∀ i : Fin 10, i ≠ 7 → i ≠ 9 → base (oldRoles i) = []) : (advance (TM2.step (program d positive)))^[MachineLazyRows.vertexSteps d (2 * d) d (List.ofFn rows) (base .output)] (some ⟨some (.oldRows (0, none)), clean d positive, base⟩) = some ⟨some .nextVertex, clean d positive, Function.update (Function.update base .source rest) .output (base .output ++ MachineLazyRows.recordsOutput d (2 * d) d (List.ofFn rows))⟩ := by let tailBase := Function.update base Tape.source rest have cleanBase : ∀ i : Fin 10, i ≠ 7 → i ≠ 9 → tailBase (oldRoles i) = [] := by intro i h7 h9 have hn : oldRoles i ≠ Tape.source := by intro h have h' : oldRoles i = oldRoles 9 := h exact h9 (oldRoles_injective h') simpa only [tailBase, Function.update_of_ne hn] using empty i h7 h9 have initial : MachineLazyRows.streamFrame oldRoles tailBase (List.ofFn rows) (base .output) = base := by funext t cases t <;> simp [MachineLazyRows.streamFrame, tailBase, oldRoles, hi] have final : MachineLazyRows.streamFrame (n := n) (m := m) oldRoles tailBase [] (base .output ++ MachineLazyRows.recordsOutput d (2 * d) d (List.ofFn rows)) = Function.update (Function.update base .source rest) .output (base .output ++ MachineLazyRows.recordsOutput d (2 * d) d (List.ofFn rows)) := by funext t cases t <;> simp [MachineLazyRows.streamFrame, MachineLazyRows.recordsInput, tailBase, oldRoles] have run := MachineLazyRows.vertexTrace d positive (2 * d) d oldRoles oldRoles_injective Label.oldRows (some .nextVertex) (program d positive) (fun _ => rfl) tailBase rows cleanBase () (base .output) simpa only [initial, final, clean] using run def prefixSteps (n m : Nat) (rows : List Bool) : Nat := 2 * (encodeWords [n, m] ++ rows).length + 5 * n + 3 * m + 17 theorem prefixTrace (d : Nat) (positive : 0 < d) (n m : Nat) (rows : List Bool) : (advance (TM2.step (program d positive)))^[prefixSteps n m rows] (some ⟨some (.split .copyFirst), clean d positive, initialTapes (encodeWords [n, m] ++ rows)⟩) = some ⟨some .guard, clean d positive, loopTapes d (encodeWords [n, m] ++ rows) n m n 0 rows (encodeWords [n, 2 * m])⟩ := by let word := encodeWords [n, m] ++ rows let header := encodeWords [n, 2 * m] let b₁ := frame word rows [] (encodeWord n) (encodeWord m) [] [] [] let b₂ := frame word rows (encodeWord (2 * m)) (encodeWord n) (encodeWord m) [] [] [] let b₃ := frame word rows header (encodeWord n) (encodeWord m) [] [] [] let b₄ := frame word rows header (encodeWord n) (encodeWord m) (encodeWord n) [] [] have hstart : MachineCloudPadding.Placement.tapes splitView (MachineTableSplit.initialTapes word) (fun _ => []) = initialTapes word := by funext t cases t <;> simp [MachineCloudPadding.Placement.tapes, splitView, MachineTableSplit.initialTapes, MachineTableSplit.tapes, initialTapes, frame] have hend : MachineCloudPadding.Placement.tapes splitView (MachineTableSplit.resultTapes n m rows) (fun _ => []) = b₁ := by funext t cases t <;> simp [MachineCloudPadding.Placement.tapes, splitView, MachineTableSplit.resultTapes, MachineTableSplit.tapes, b₁, frame, word] have split := MachineCloudPadding.Placement.trace splitRoles splitView splitRoles_left splitRoles_right Label.split (some .dartSeed) (fun _ => []) MachineTableSplit.program (program d positive) (fun _ => rfl) _ _ _ (MachineTableSplit.splitTrace n m rows (clean d positive).1 none) have c₀ : (advance (TM2.step (program d positive)))^[MachineTableSplit.exactSteps n m rows] (some ⟨some (.split .copyFirst), clean d positive, initialTapes word⟩) = some ⟨some .dartSeed, clean d positive, b₁⟩ := by simp only [MachineCloudPadding.Placement.configuration, MachineCloudPadding.Placement.label] at split rw [hstart, hend] at split simpa only [clean_pair] using split have hdart : Function.update b₁ Tape.output (encodeWord (2 * m + 0) ++ b₁ .output) = b₂ := by funext t; cases t <;> simp [b₁, b₂, frame] have dart := MachineUnaryAffineAt.seededAffineTrace Tape.darts .scratch .output (by decide) (by decide) (by decide) 2 0 .dartSeed .dartScan .dartRestore (some .vertexSeed) (program d positive) rfl rfl rfl b₁ m [] (by simp [b₁, frame]) rfl (clean d positive).1 none have c₁ : (advance (TM2.step (program d positive)))^[2 * (m + 1) + 1] (some ⟨some .dartSeed, clean d positive, b₁⟩) = some ⟨some .vertexSeed, clean d positive, b₂⟩ := by simpa only [hdart, clean_pair] using dart have hv : Function.update b₂ Tape.output (encodeWord (1 * n + 0) ++ b₂ .output) = b₃ := by funext t; cases t <;> simp [b₂, b₃, frame, header, encodeWords] have vertex := MachineUnaryAffineAt.seededAffineTrace Tape.vertices .scratch .output (by decide) (by decide) (by decide) 1 0 .vertexSeed .vertexScan .vertexRestore (some .fuelFirst) (program d positive) rfl rfl rfl b₂ n [] (by simp [b₂, frame]) rfl (clean d positive).1 none have c₂ : (advance (TM2.step (program d positive)))^[2 * (n + 1) + 1] (some ⟨some .vertexSeed, clean d positive, b₂⟩) = some ⟨some .fuelFirst, clean d positive, b₃⟩ := by simpa only [hv, clean_pair] using vertex have hf : Function.update b₃ Tape.fuel (b₃ .vertices ++ b₃ .fuel) = b₄ := by funext t; cases t <;> simp [b₃, b₄, frame] have fuel := MachineCopy.copyTrace Tape.vertices .fuel .scratch (by decide) (by decide) (by decide) false .fuelFirst .fuelSecond (some .seedCounters) (program d positive) rfl rfl b₃ rfl (clean d positive).1 none rw [hf] at fuel have c₃ : (advance (TM2.step (program d positive)))^[2 * (n + 2)] (some ⟨some .fuelFirst, clean d positive, b₃⟩) = some ⟨some .seedCounters, clean d positive, b₄⟩ := by simpa only [clean_pair, show b₃ .vertices = encodeWord n from rfl, encodeWord_length, Nat.add_assoc] using fuel have c₄ : (advance (TM2.step (program d positive)))^[1] (some ⟨some .seedCounters, clean d positive, b₄⟩) = some ⟨some .guard, clean d positive, loopTapes d word n m n 0 rows header⟩ := by have ht : Function.update (Function.update b₄ Tape.vertex [false]) Tape.reverse [false] = loopTapes d word n m n 0 rows header := by funext t; cases t <;> simp [b₄, loopTapes, frame, encodeWord] simp only [Function.iterate_one, advance_some, TM2.step, program, TM2.stepAux] apply congrArg some exact congrArg (TM2.Cfg.mk _ _) ht have all := joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable c₀ c₁) c₂) c₃) c₄ have hc : MachineTableSplit.exactSteps n m rows + (2 * (m + 1) + 1) + (2 * (n + 1) + 1) + 2 * (n + 2) + 1 = prefixSteps n m rows := by dsimp [MachineTableSplit.exactSteps, prefixSteps] omega rw [hc] at all exact all def vertexBlock {n m : Nat} (d v : Nat) (rows : Fin d → GraphTables.DartRow n m) : List Bool := MachineDummyRows.rowsBits v (2 * d * v) d ++ MachineLazyRows.recordsOutput d (2 * d) d (List.ofFn rows) def bodySteps {n m : Nat} (d v : Nat) (rows : Fin d → GraphTables.DartRow n m) (output : List Bool) : Nat := 2 * (v + 2) + (MachineDummyRows.steps v (2 * d * v) output d + 1) + (v + 2) + 8193 + MachineLazyRows.vertexSteps d (2 * d) d (List.ofFn rows) (output ++ MachineDummyRows.rowsBits v (2 * d * v) d) + 1 theorem frame_old_empty (input source output vertices darts fuel vertex reverse : List Bool) (i : Fin 10) (h7 : i ≠ 7) (h9 : i ≠ 9) : frame input source output vertices darts fuel vertex reverse (oldRoles i) = [] := by fin_cases i <;> simp_all [frame, oldRoles] theorem bodyTrace {n m : Nat} (d : Nat) (positive : 0 < d) (input : List Bool) (left v : Nat) (rows : Fin d → GraphTables.DartRow n m) (rest output : List Bool) : (advance (TM2.step (program d positive)))^[bodySteps d v rows output] (some ⟨some .copyVertexFirst, clean d positive, loopTapes d input n m left v (MachineLazyRows.recordsInput (List.ofFn rows) ++ rest) output⟩) = some ⟨some .guard, clean d positive, loopTapes d input n m left (v + 1) rest (output ++ vertexBlock d v rows)⟩ := by let source := MachineLazyRows.recordsInput (List.ofFn rows) ++ rest let dummy := MachineDummyRows.rowsBits v (2 * d * v) d let moving := MachineLazyRows.recordsOutput d (2 * d) d (List.ofFn rows) let b₀ := loopTapes d input n m left v source output let b₁ := Function.update b₀ Tape.tail (encodeWord v) let b₄ := frame input source (output ++ dummy) (encodeWord n) (encodeWord m) (encodeWord left) (encodeWord v) (encodeWord (2 * d * v + d)) let b₂ := Function.update (Function.update b₄ Tape.tail (encodeWord v)) Tape.relation MachineDummyRows.trueBits let b₃ := Function.update b₄ Tape.relation MachineDummyRows.trueBits let b₅ := frame input rest ((output ++ dummy) ++ moving) (encodeWord n) (encodeWord m) (encodeWord left) (encodeWord v) (encodeWord (2 * d * v + d)) have hcopy : Function.update b₀ Tape.tail (b₀ .vertex ++ b₀ .tail) = b₁ := by simp [b₀, b₁, loopTapes, frame] have copy := MachineCopy.copyTrace Tape.vertex .tail .scratch (by decide) (by decide) (by decide) false .copyVertexFirst .copyVertexSecond (some (.dummy (MachineDummyRows.start d))) (program d positive) rfl rfl b₀ rfl (clean d positive).1 none rw [hcopy] at copy have c₀ : (advance (TM2.step (program d positive)))^[2 * (v + 2)] (some ⟨some .copyVertexFirst, clean d positive, b₀⟩) = some ⟨some (.dummy (MachineDummyRows.start d)), clean d positive, b₁⟩ := by simpa only [clean_pair, show b₀ .vertex = encodeWord v from rfl, encodeWord_length, Nat.add_assoc] using copy have hdummy : Function.update (Function.update (Function.update b₁ Tape.reverse (encodeWord (2 * d * v + d))) Tape.relation MachineDummyRows.trueBits) Tape.output (b₁ .output ++ dummy) = b₂ := by funext t; cases t <;> simp [b₀, b₁, b₂, b₄, loopTapes, frame] have dummies := dummyTrace d positive b₁ v (2 * d * v) (by simp [b₁]) (by simp [b₁, b₀, loopTapes, frame]) (by simp [b₁, b₀, loopTapes, frame]) (by simp [b₁, b₀, loopTapes, frame]) (by simp [b₁, b₀, loopTapes, frame]) have c₁ : (advance (TM2.step (program d positive)))^[MachineDummyRows.steps v (2 * d * v) output d + 1] (some ⟨some (.dummy (MachineDummyRows.start d)), clean d positive, b₁⟩) = some ⟨some .clearDummyTail, clean d positive, b₂⟩ := by change (advance (TM2.step (program d positive)))^[_] _ = some ⟨some .clearDummyTail, clean d positive, Function.update (Function.update (Function.update b₁ Tape.reverse (encodeWord (2 * d * v + d))) Tape.relation MachineDummyRows.trueBits) Tape.output (b₁ .output ++ dummy)⟩ at dummies rw [hdummy] at dummies simpa only [show b₁ .output = output by simp [b₁, b₀, loopTapes, frame]] using dummies have ht : Function.update b₂ Tape.tail [] = b₃ := by funext t; cases t <;> simp [b₂, b₃, b₄, frame] have drainTail := MachineDrain.drainTrace Tape.tail .clearDummyTail (some .clearDummyRelation) (program d positive) rfl b₂ (b₂ .tail) (clean d positive).1 none simp only [Function.update_eq_self, ht] at drainTail have c₂ : (advance (TM2.step (program d positive)))^[v + 2] (some ⟨some .clearDummyTail, clean d positive, b₂⟩) = some ⟨some .clearDummyRelation, clean d positive, b₃⟩ := by simpa only [clean_pair, show b₂ .tail = encodeWord v by simp [b₂], encodeWord_length, Nat.add_assoc] using drainTail have hr : Function.update b₃ Tape.relation [] = b₄ := by funext t; cases t <;> simp [b₃, b₄, frame] have drainRelation := MachineDrain.drainTrace Tape.relation .clearDummyRelation (some (.oldRows (0, none))) (program d positive) rfl b₃ (b₃ .relation) (clean d positive).1 none simp only [Function.update_eq_self, hr] at drainRelation have c₃ : (advance (TM2.step (program d positive)))^[8193] (some ⟨some .clearDummyRelation, clean d positive, b₃⟩) = some ⟨some (.oldRows (0, none)), clean d positive, b₄⟩ := by simpa only [clean_pair, show b₃ .relation = MachineDummyRows.trueBits by simp [b₃], MachineDummyRows.trueBits_length] using drainRelation have hmoving : Function.update (Function.update b₄ Tape.source rest) Tape.output (b₄ .output ++ moving) = b₅ := by funext t; cases t <;> simp [b₄, b₅, frame] have old := oldTrace d positive b₄ rows rest rfl (fun i h7 h9 => frame_old_empty _ _ _ _ _ _ _ _ i h7 h9) have c₄ : (advance (TM2.step (program d positive)))^[MachineLazyRows.vertexSteps d (2 * d) d (List.ofFn rows) (output ++ dummy)] (some ⟨some (.oldRows (0, none)), clean d positive, b₄⟩) = some ⟨some .nextVertex, clean d positive, b₅⟩ := by change (advance (TM2.step (program d positive)))^[_] _ = some ⟨some .nextVertex, clean d positive, Function.update (Function.update b₄ Tape.source rest) Tape.output (b₄ .output ++ moving)⟩ at old rw [hmoving] at old exact old have c₅ : (advance (TM2.step (program d positive)))^[1] (some ⟨some .nextVertex, clean d positive, b₅⟩) = some ⟨some .guard, clean d positive, loopTapes d input n m left (v + 1) rest (output ++ vertexBlock d v rows)⟩ := by have hrev : List.replicate d true ++ encodeWord (2 * d * v + d) = encodeWord (2 * d * (v + 1)) := by have hw := MachineUnaryAffineAt.prepend_replicate_word d (2 * d * v + d) [] simp only [List.append_nil] at hw rw [hw] exact congrArg encodeWord (show d + (2 * d * v + d) = 2 * d * (v + 1) by simp only [Nat.mul_add, Nat.mul_one] omega) have ht : Function.update (Function.update b₅ Tape.reverse ((List.replicate d true).reverse ++ b₅ .reverse)) Tape.vertex (true :: b₅ .vertex) = loopTapes d input n m left (v + 1) rest (output ++ vertexBlock d v rows) := by funext t cases t <;> simp [b₅, frame, loopTapes, vertexBlock, dummy, moving, hrev, List.append_assoc] simp [encodeWord, List.replicate_succ] simp only [Function.iterate_one, advance_some, TM2.step, program, stepAux_pushWord, TM2.stepAux] apply congrArg some exact congrArg (TM2.Cfg.mk _ _) ht have all := joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable c₀ c₁) c₂) c₃) c₄) c₅ exact all theorem drainPhase (d : Nat) (positive : 0 < d) (tape : Tape) (label : Label d) (exit : Option (Label d)) (atLabel : program d positive label = MachineDrain.drain tape label exit) (base : Tape → List Bool) : (advance (TM2.step (program d positive)))^[(base tape).length + 1] (some ⟨some label, clean d positive, base⟩) = some ⟨exit, clean d positive, Function.update base tape []⟩ := by simpa only [Function.update_eq_self, clean_pair] using MachineDrain.drainTrace tape label exit (program d positive) atLabel base (base tape) (clean d positive).1 none def finishSteps (d n m v : Nat) : Nat := n + m + v + 2 * d * v + 11 theorem finishTrace (d : Nat) (positive : 0 < d) (input output : List Bool) (n m v : Nat) : (advance (TM2.step (program d positive)))^[finishSteps d n m v] (some ⟨some .guard, clean d positive, loopTapes d input n m 0 v [] output⟩) = some ⟨none, clean d positive, finalTapes input output⟩ := by let b₀ := loopTapes d input n m 0 v [] output let b₁ := Function.update b₀ Tape.vertices [] let b₂ := Function.update b₁ Tape.darts [] let b₃ := Function.update b₂ Tape.fuel [] let b₄ := Function.update b₃ Tape.vertex [] have hframe : MachineUnaryCounter.counterTapes Tape.fuel b₀ 0 [] = b₀ := by funext t; cases t <;> simp [MachineUnaryCounter.counterTapes, b₀, loopTapes, frame] have guard := MachineUnaryCounter.guardTrace_zero Tape.fuel .guard .copyVertexFirst .clearVertices (program d positive) rfl b₀ [] (clean d positive).1 none have c₀ : (advance (TM2.step (program d positive)))^[1] (some ⟨some .guard, clean d positive, b₀⟩) = some ⟨some .clearVertices, clean d positive, b₀⟩ := by simpa only [hframe, clean_pair] using guard have c₁ : (advance (TM2.step (program d positive)))^[n + 2] (some ⟨some .clearVertices, clean d positive, b₀⟩) = some ⟨some .clearDarts, clean d positive, b₁⟩ := by simpa only [show b₀ .vertices = encodeWord n from rfl, encodeWord_length, Nat.add_assoc] using drainPhase d positive .vertices .clearVertices (some .clearDarts) rfl b₀ have c₂ : (advance (TM2.step (program d positive)))^[m + 2] (some ⟨some .clearDarts, clean d positive, b₁⟩) = some ⟨some .clearFuel, clean d positive, b₂⟩ := by have hv : b₁ .darts = encodeWord m := by simp [b₁, b₀, loopTapes, frame] simpa only [hv, encodeWord_length, Nat.add_assoc] using drainPhase d positive .darts .clearDarts (some .clearFuel) rfl b₁ have c₃ : (advance (TM2.step (program d positive)))^[2] (some ⟨some .clearFuel, clean d positive, b₂⟩) = some ⟨some .clearVertex, clean d positive, b₃⟩ := by have hv : b₂ .fuel = encodeWord 0 := by simp [b₂, b₁, b₀, loopTapes, frame] simpa only [hv, encodeWord_length] using drainPhase d positive .fuel .clearFuel (some .clearVertex) rfl b₂ have c₄ : (advance (TM2.step (program d positive)))^[v + 2] (some ⟨some .clearVertex, clean d positive, b₃⟩) = some ⟨some .clearReverse, clean d positive, b₄⟩ := by have hv : b₃ .vertex = encodeWord v := by simp [b₃, b₂, b₁, b₀, loopTapes, frame] simpa only [hv, encodeWord_length, Nat.add_assoc] using drainPhase d positive .vertex .clearVertex (some .clearReverse) rfl b₃ have hend : Function.update b₄ Tape.reverse [] = finalTapes input output := by funext t; cases t <;> simp [b₄, b₃, b₂, b₁, b₀, loopTapes, finalTapes, frame] have c₅ : (advance (TM2.step (program d positive)))^[2 * d * v + 2] (some ⟨some .clearReverse, clean d positive, b₄⟩) = some ⟨none, clean d positive, finalTapes input output⟩ := by have hv : b₄ .reverse = encodeWord (2 * d * v) := by simp [b₄, b₃, b₂, b₁, b₀, loopTapes, frame] simpa only [hv, encodeWord_length, Nat.add_assoc, hend] using drainPhase d positive .reverse .clearReverse none rfl b₄ have all := joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable c₀ c₁) c₂) c₃) c₄) c₅ have hc : 1 + (n + 2) + (m + 2) + 2 + (v + 2) + (2 * d * v + 2) = finishSteps d n m v := by dsimp [finishSteps]; omega rw [hc] at all exact all def remaining (n r : Nat) : List (Fin n) := (List.finRange n).drop r @[simp] theorem remaining_zero (n : Nat) : remaining n 0 = List.finRange n := by simp [remaining] @[simp] theorem remaining_done (n : Nat) : remaining n n = [] := by simp [remaining] theorem remaining_cons (n r : Nat) (h : r < n) : remaining n r = ⟨r, h⟩ :: remaining n (r + 1) := by unfold remaining rw [List.drop_eq_getElem_cons (l := List.finRange n) (i := r) (by simpa using h)] simp def inputBlocks {n d : Nat} (table : PortTables.Table n d) (events : List (Fin n)) : List Bool := events.flatMap (fun v => MachineLazyRows.recordsInput (List.ofFn (PreprocessingLazyWords.row table v))) def outputBlocks {n d : Nat} (table : PortTables.Table n d) (events : List (Fin n)) : List Bool := events.flatMap (fun v => vertexBlock d v.val (PreprocessingLazyWords.row table v)) theorem vertexBlock_codec {n d : Nat} (table : PortTables.Table n d) (v : Fin n) : vertexBlock d v.val (PreprocessingLazyWords.row table v) = encodeWords ((PreprocessingLazyWords.vertexRows table v).flatMap GraphTables.rowWords) := by rw [vertexBlock, MachineLazyCodec.rowsBits_stay, MachineLazyRows.recordsOutput_lazy, PreprocessingLazyWords.vertexRows, List.flatMap_append, encodeWords_append] private theorem encodeWords_flatMap_inline_MachineLazyTable {α : Type} (xs : List α) (f : α → List Nat) : encodeWords (xs.flatMap f) = xs.flatMap (fun x => encodeWords (f x)) := by induction xs with | nil => rfl | cons x xs ih => simp only [List.flatMap_cons, encodeWords_append, ih] theorem inputBlocks_codec {n d : Nat} (table : PortTables.Table n d) (events : List (Fin n)) : inputBlocks table events = encodeWords ((events.flatMap (fun v => List.ofFn (PreprocessingLazyWords.row table v))).flatMap GraphTables.rowWords) := by rw [List.flatMap_assoc, encodeWords_flatMap_inline_MachineLazyTable] simp only [inputBlocks, MachineLazyRows.recordsInput_eq_codec] theorem outputBlocks_codec {n d : Nat} (table : PortTables.Table n d) (events : List (Fin n)) : outputBlocks table events = encodeWords ((events.flatMap (PreprocessingLazyWords.vertexRows table)).flatMap GraphTables.rowWords) := by rw [List.flatMap_assoc, encodeWords_flatMap_inline_MachineLazyTable] simp only [outputBlocks, vertexBlock_codec] theorem input_table_codec {n d : Nat} (table : PortTables.Table n d) : PortTables.tableBits table = encodeWords [n, n * d] ++ inputBlocks table (List.finRange n) := by rw [inputBlocks_codec] change encodeWords (PortTables.tableWords table) = _ rw [PortTables.tableWords_eq, PreprocessingLazyWords.flatRows_list, encodeWords_append] have hrows : (List.ofFn (fun v => List.ofFn (PreprocessingLazyWords.row table v))).flatten = (List.finRange n).flatMap (fun v => List.ofFn (PreprocessingLazyWords.row table v)) := by rw [List.ofFn_eq_map] rfl rw [hrows] theorem output_table_codec {n d : Nat} (table : PortTables.Table n d) : PortTables.tableBits (PreprocessingOverlayTables.lazy table) = encodeWords [n, 2 * (n * d)] ++ outputBlocks table (List.finRange n) := by rw [outputBlocks_codec, PreprocessingLazyWords.tableBits_lazy, encodeWords_append] have hm : n * (2 * d) = 2 * (n * d) := by ac_rfl have hrows : (List.ofFn (PreprocessingLazyWords.vertexRows table)).flatten = (List.finRange n).flatMap (PreprocessingLazyWords.vertexRows table) := by rw [List.ofFn_eq_map] rfl exact congrArg₂ List.append (congrArg (fun k => encodeWords [n, k]) hm) (congrArg (fun rows => encodeWords (rows.flatMap GraphTables.rowWords)) hrows) def loopSteps {n d : Nat} (table : PortTables.Table n d) (r : Nat) : Nat → List Bool → Nat | 0, _ => finishSteps d n (n * d) r | count + 1, output => if h : r < n then (1 + bodySteps d r (PreprocessingLazyWords.row table ⟨r, h⟩) output) + loopSteps table (r + 1) count (output ++ vertexBlock d r (PreprocessingLazyWords.row table ⟨r, h⟩)) else 0 theorem loopTrace {n d : Nat} (table : PortTables.Table n d) (positive : 0 < d) (input : List Bool) (count r : Nat) (hsum : r + count = n) (output : List Bool) : (advance (TM2.step (program d positive)))^[loopSteps table r count output] (some ⟨some .guard, clean d positive, loopTapes d input n (n * d) count r (inputBlocks table (remaining n r)) output⟩) = some ⟨none, clean d positive, finalTapes input (output ++ outputBlocks table (remaining n r))⟩ := by induction count generalizing r output with | zero => have hr : r = n := by omega subst r simpa only [loopSteps, remaining_done, inputBlocks, outputBlocks, List.flatMap_nil, List.append_nil] using finishTrace d positive input output n (n * d) n | succ count ih => have hr : r < n := by omega let rows := PreprocessingLazyWords.row table (⟨r, hr⟩ : Fin n) let rest := inputBlocks table (remaining n (r + 1)) let source := MachineLazyRows.recordsInput (List.ofFn rows) ++ rest let b₀ := loopTapes d input n (n * d) (count + 1) r source output let b₁ := loopTapes d input n (n * d) count r source output have hguard (k : Nat) : MachineUnaryCounter.counterTapes Tape.fuel b₀ k [] = loopTapes d input n (n * d) k r source output := by funext t; cases t <;> simp [MachineUnaryCounter.counterTapes, b₀, loopTapes, frame] have guard := MachineUnaryCounter.guardTrace_succ Tape.fuel .guard .copyVertexFirst .clearVertices (program d positive) rfl b₀ count [] (clean d positive).1 none have c₀ : (advance (TM2.step (program d positive)))^[1] (some ⟨some .guard, clean d positive, b₀⟩) = some ⟨some .copyVertexFirst, clean d positive, b₁⟩ := by simpa only [hguard, clean_pair] using guard have c₁ := bodyTrace d positive input count r rows rest output have c₂ := ih (r + 1) (by omega) (output ++ vertexBlock d r rows) have all := joinTrace_inline_MachineLazyTable (joinTrace_inline_MachineLazyTable c₀ c₁) c₂ have hi : inputBlocks table (remaining n r) = source := by rw [remaining_cons n r hr] rfl have ho : outputBlocks table (remaining n r) = vertexBlock d r rows ++ outputBlocks table (remaining n (r + 1)) := by rw [remaining_cons n r hr] rfl simpa only [loopSteps, dite_eq_left hr, hi, ho, List.append_assoc] using all def totalSteps {n d : Nat} (table : PortTables.Table n d) : Nat := prefixSteps n (n * d) (inputBlocks table (List.finRange n)) + loopSteps table 0 n (encodeWords [n, 2 * (n * d)]) theorem tableTrace {n d : Nat} (table : PortTables.Table n d) (positive : 0 < d) : (advance (TM2.step (program d positive)))^[totalSteps table] (some ⟨some (.split .copyFirst), clean d positive, initialTapes (PortTables.tableBits table)⟩) = some ⟨none, clean d positive, finalTapes (PortTables.tableBits table) (PortTables.tableBits (PreprocessingOverlayTables.lazy table))⟩ := by have prefixRun := prefixTrace d positive n (n * d) (inputBlocks table (List.finRange n)) rw [← input_table_codec table] at prefixRun have loop := loopTrace table positive (PortTables.tableBits table) n 0 (by omega) (encodeWords [n, 2 * (n * d)]) simp only [remaining_zero] at loop have all := joinTrace_inline_MachineLazyTable prefixRun loop rw [← output_table_codec table] at all exact all private theorem dummyRows_length_le_inline_MachineLazyTable (v e count : Nat) : (MachineDummyRows.rowsBits v e count).length ≤ count * (v + e + count + 8194) := by induction count generalizing e with | zero => simp [MachineDummyRows.rowsBits] | succ count ih => simp only [MachineDummyRows.rowsBits, List.length_append, MachineDummyRows.rowBits_length] have h := ih (e + 1) have he : v + (e + 1) + count + 8194 = v + e + (count + 1) + 8194 := by omega rw [he] at h nlinarith only [h] theorem bodySteps_le {n d : Nat} (rows : Fin d → GraphTables.DartRow n (n * d)) (v L : Nat) (output : List Bool) (hv : v ≤ n) (hn : n ≤ L) (hm : n * d ≤ L) (ho : output.length ≤ 20000 * (L + 1) ^ 2) : bodySteps d v rows output ≤ 1000000 * (d + 1) ^ 3 * (L + 1) ^ 2 := by let D := d + 1 let N := L + 1 let P := D * N let Q := P * P let S := v + 2 * d * v + d + 8194 let V := (2 * d) * (n * d) + n * d + d let R := n + V + 8194 let C := 2 * n + 8 * (n * d) + V + 4 * R + 8224 let dummy := MachineDummyRows.rowsBits v (2 * d * v) d let after := output ++ dummy have hD : 1 ≤ D := by dsimp [D]; omega have hN : 1 ≤ N := by dsimp [N]; omega have hdD : d ≤ D := by dsimp [D]; omega have hLN : L ≤ N := by dsimp [N]; omega have hDP : D ≤ P := by have h := Nat.mul_le_mul_left D hN simpa [P] using h have hNP : N ≤ P := by have h := Nat.mul_le_mul_right N hD simpa [P] using h have hP : 1 ≤ P := hN.trans hNP have hPQ : P ≤ Q := by have h := Nat.mul_le_mul_right P hP simpa [Q] using h have hQ : 1 ≤ Q := hP.trans hPQ have hdP : d ≤ P := hdD.trans hDP have hvN : v ≤ N := hv.trans (hn.trans hLN) have hvP : v ≤ P := hvN.trans hNP have hnP : n ≤ P := hn.trans (hLN.trans hNP) have hmN : n * d ≤ N := hm.trans hLN have hmP : n * d ≤ P := hmN.trans hNP have hdv : d * v ≤ P := by simpa [P] using Nat.mul_le_mul hdD hvN have hdm : d * (n * d) ≤ P := by simpa [P] using Nat.mul_le_mul hdD hmN have hdPQ : d * P ≤ Q := by simpa [Q] using Nat.mul_le_mul_right P hdP have hNQ : N ^ 2 ≤ Q := by simpa [pow_two, Q] using Nat.mul_le_mul hNP hNP have hS : S ≤ 10000 * P := by have hconst := Nat.mul_le_mul_left 8194 hP dsimp [S] nlinarith only [hvP, hdP, hdv, hconst, hP] have hV : V ≤ 4 * P := by dsimp [V] nlinarith only [hdm, hmP, hdP] have hR : R ≤ 10000 * P := by have hconst := Nat.mul_le_mul_left 8194 hP dsimp [R] nlinarith only [hnP, hV, hconst, hP] have hC : C ≤ 50000 * P := by have hconst := Nat.mul_le_mul_left 8224 hP dsimp [C] nlinarith only [hnP, hmP, hV, hR, hconst, hP] have hSQ : S ≤ 10000 * Q := hS.trans (Nat.mul_le_mul_left 10000 hPQ) have hCQ : C ≤ 50000 * Q := hC.trans (Nat.mul_le_mul_left 50000 hPQ) have hdSQ : d * S ≤ 10000 * Q := by calc d * S ≤ d * (10000 * P) := Nat.mul_le_mul_left d hS _ = 10000 * (d * P) := by ring _ ≤ 10000 * Q := Nat.mul_le_mul_left 10000 hdPQ have hdRQ : d * R ≤ 10000 * Q := by calc d * R ≤ d * (10000 * P) := Nat.mul_le_mul_left d hR _ = 10000 * (d * P) := by ring _ ≤ 10000 * Q := Nat.mul_le_mul_left 10000 hdPQ have hOut : output.length ≤ 20000 * Q := by change output.length ≤ 20000 * N ^ 2 at ho exact ho.trans (Nat.mul_le_mul_left 20000 hNQ) have hDummyLength : dummy.length ≤ 10000 * Q := by have h := dummyRows_length_le_inline_MachineLazyTable v (2 * d * v) d change dummy.length ≤ d * S at h exact h.trans hdSQ have hAfter : after.length ≤ 30000 * Q := by dsimp [after] rw [List.length_append] omega have hDummyInside : 4 * S + 2 * (output.length + d * S) + 10 ≤ 100010 * Q := by have hconst := Nat.mul_le_mul_left 10 hQ nlinarith only [hSQ, hOut, hdSQ, hconst] have hDummySteps : MachineDummyRows.steps v (2 * d * v) output d ≤ 100010 * d * Q := by calc MachineDummyRows.steps v (2 * d * v) output d ≤ d * (4 * S + 2 * (output.length + d * S) + 10) := by simpa only [S] using MachineDummyRows.steps_le_bound v (2 * d * v) output d _ ≤ d * (100010 * Q) := Nat.mul_le_mul_left d hDummyInside _ = 100010 * d * Q := by ring have hOldInside : C + 2 * (after.length + d * R) + 1 ≤ 130001 * Q := by nlinarith only [hCQ, hAfter, hdRQ, hQ] have hOldSteps : MachineLazyRows.vertexSteps d (2 * d) d (List.ofFn rows) after ≤ 130001 * d * Q + 1 := by have h := MachineLazyRows.vertexSteps_le d (2 * d) d (List.ofFn rows) after simp only [List.length_ofFn] at h change MachineLazyRows.vertexSteps d (2 * d) d (List.ofFn rows) after ≤ d * (C + 2 * (after.length + d * R) + 1) + 1 at h calc MachineLazyRows.vertexSteps d (2 * d) d (List.ofFn rows) after ≤ d * (C + 2 * (after.length + d * R) + 1) + 1 := h _ ≤ d * (130001 * Q) + 1 := Nat.add_le_add_right (Nat.mul_le_mul_left d hOldInside) 1 _ = 130001 * d * Q + 1 := by ring have hvQ : v ≤ Q := hvP.trans hPQ have hOverhead : 3 * v + 8201 ≤ 10000 * Q := by have hconst := Nat.mul_le_mul_left 8201 hQ nlinarith only [hvQ, hconst, hQ] have hBody : bodySteps d v rows output ≤ 230011 * d * Q + 10000 * Q + 1 := by change 2 * (v + 2) + (MachineDummyRows.steps v (2 * d * v) output d + 1) + (v + 2) + 8193 + MachineLazyRows.vertexSteps d (2 * d) d (List.ofFn rows) after + 1 ≤ _ nlinarith only [hDummySteps, hOldSteps, hOverhead] have hdQQ : d * Q ≤ D * Q := Nat.mul_le_mul_right Q hdD have hQQ : Q ≤ D * Q := by simpa using Nat.mul_le_mul_right Q hD have hDQ : 1 ≤ D * Q := hQ.trans hQQ have hCoarse : bodySteps d v rows output ≤ 300000 * D * Q := by nlinarith only [hBody, hdQQ, hQQ, hDQ] calc bodySteps d v rows output ≤ 300000 * D * Q := hCoarse _ ≤ 1000000 * D * Q := by have h := Nat.mul_le_mul_right (D * Q) (by norm_num : (300000 : Nat) ≤ 1000000) simpa only [Nat.mul_assoc] using h _ = 1000000 * (d + 1) ^ 3 * (L + 1) ^ 2 := by dsimp [D, N, P, Q]; ring theorem output_length_le {n d : Nat} (table : PortTables.Table n d) : (PortTables.tableBits (PreprocessingOverlayTables.lazy table)).length ≤ 20000 * ((PortTables.tableBits table).length + 1) ^ 2 := by let L := (PortTables.tableBits table).length have hn : n ≤ L := PortTables.vertices_le_tableBits_length table have hm : n * d ≤ L := GraphTables.darts_le_tableBits_length (PortTables.graphTable table) have h := GraphTables.tableBits_length_le (PortTables.graphTable (PreprocessingOverlayTables.lazy table)) change (PortTables.tableBits (PreprocessingOverlayTables.lazy table)).length ≤ n + n * (2 * d) + 2 + n * (2 * d) * (n + n * (2 * d) + 8192) at h have hdouble : n * (2 * d) = 2 * (n * d) := by ac_rfl rw [hdouble] at h have hmul := Nat.mul_le_mul (Nat.mul_le_mul_left 2 hm) (Nat.add_le_add_right (Nat.add_le_add hn (Nat.mul_le_mul_left 2 hm)) 8192) change _ ≤ 20000 * (L + 1) ^ 2 nlinarith only [h, hn, hm, hmul] theorem loopSteps_le {n d : Nat} (table : PortTables.Table n d) (L count r : Nat) (hsum : r + count = n) (hn : n ≤ L) (hm : n * d ≤ L) (output : List Bool) (hout : (output ++ outputBlocks table (remaining n r)).length ≤ 20000 * (L + 1) ^ 2) : loopSteps table r count output ≤ count * (1 + 1000000 * (d + 1) ^ 3 * (L + 1) ^ 2) + 5 * L + 11 := by induction count generalizing r output with | zero => have hr : r = n := by omega subst r have hdouble : 2 * d * n = 2 * (n * d) := by ac_rfl simp only [loopSteps, finishSteps, Nat.zero_mul, Nat.zero_add, hdouble] omega | succ count ih => have hr : r < n := by omega let rows := PreprocessingLazyWords.row table (⟨r, hr⟩ : Fin n) have ho : output.length ≤ 20000 * (L + 1) ^ 2 := by rw [List.length_append] at hout omega have hb := bodySteps_le rows r L output hr.le hn hm ho have hs : outputBlocks table (remaining n r) = vertexBlock d r rows ++ outputBlocks table (remaining n (r + 1)) := by rw [remaining_cons n r hr] rfl have hout' : ((output ++ vertexBlock d r rows) ++ outputBlocks table (remaining n (r + 1))).length ≤ 20000 * (L + 1) ^ 2 := by simpa only [hs, List.append_assoc] using hout have ht := ih (r + 1) (by omega) (output ++ vertexBlock d r rows) hout' simp only [loopSteps, dite_eq_left hr] change (1 + bodySteps d r rows output) + loopSteps table (r + 1) count (output ++ vertexBlock d r rows) ≤ _ nlinarith only [hb, ht] noncomputable def timePolynomial (d : Nat) : Polynomial Nat := Polynomial.C (1000000 * (d + 1) ^ 3 + 100) * (Polynomial.X + 1) ^ 3 @[simp] theorem timePolynomial_eval (d L : Nat) : (timePolynomial d).eval L = (1000000 * (d + 1) ^ 3 + 100) * (L + 1) ^ 3 := by simp [timePolynomial] theorem totalSteps_le {n d : Nat} (table : PortTables.Table n d) : totalSteps table ≤ (timePolynomial d).eval (PortTables.tableBits table).length := by let L := (PortTables.tableBits table).length let N := L + 1 let C := 1000000 * (d + 1) ^ 3 have hn : n ≤ L := PortTables.vertices_le_tableBits_length table have hm : n * d ≤ L := GraphTables.darts_le_tableBits_length (PortTables.graphTable table) have hout : (encodeWords [n, 2 * (n * d)] ++ outputBlocks table (remaining n 0)).length ≤ 20000 * (L + 1) ^ 2 := by rw [remaining_zero, ← output_table_codec] exact output_length_le table have hl := loopSteps_le table L n 0 (by omega) hn hm _ hout have hp : prefixSteps n (n * d) (inputBlocks table (List.finRange n)) ≤ 10 * L + 17 := by unfold prefixSteps rw [← input_table_codec table] change 2 * L + 5 * n + 3 * (n * d) + 17 ≤ _ omega have hN : 1 ≤ N := by dsimp [N]; omega have hnN : n ≤ N := by dsimp [N]; omega have hN2 : 1 ≤ N ^ 2 := by nlinarith only [hN] have hN3 : N ≤ N ^ 3 := by have h := Nat.mul_le_mul_left N hN2 nlinarith only [h] have hc := Nat.mul_le_mul_right (1 + C * N ^ 2) hnN change loopSteps table 0 n (encodeWords [n, 2 * (n * d)]) ≤ n * (1 + C * N ^ 2) + 5 * L + 11 at hl rw [timePolynomial_eval] change totalSteps table ≤ (C + 100) * N ^ 3 unfold totalSteps have hLN : L + 1 = N := rfl nlinarith only [hp, hl, hc, hN, hN3, hLN] def machine (d : Nat) (positive : 0 < d) : FinTM2 where K := Tape k₀ := .input k₁ := .output Γ _ := Bool Λ := Label d main := .split .copyFirst σ := State d initialState := clean d positive m := program d positive theorem machine_alphabet_finite (d : Nat) (positive : 0 < d) : ∀ k, Finite ((machine d positive).Γ k) := by intro k change Finite Bool infer_instance theorem initial_configuration (d : Nat) (positive : 0 < d) (input : List Bool) : initList (machine d positive) input = ⟨some (.split .copyFirst), clean d positive, initialTapes input⟩ := by have ht : (initList (machine d positive) input).stk = initialTapes input := by funext t; cases t <;> simp [initList, machine, initialTapes, frame] rfl exact congrArg (TM2.Cfg.mk _ _) ht @[simp] theorem finalTapes_input (input output : List Bool) : finalTapes input output .input = input := rfl @[simp] theorem finalTapes_output (input output : List Bool) : finalTapes input output .output = output := rfl theorem finalTapes_work_empty (input output : List Bool) (t : Tape) (hi : t ≠ .input) (ho : t ≠ .output) : finalTapes input output t = [] := by cases t <;> simp_all [finalTapes, frame] def machineInTime {n d : Nat} (table : PortTables.Table n d) (positive : 0 < d) : StateTransition.EvalsToInTime (machine d positive).step (initList (machine d positive) (PortTables.tableBits table)) (some ⟨none, clean d positive, finalTapes (PortTables.tableBits table) (PortTables.tableBits (PreprocessingOverlayTables.lazy table))⟩) ((timePolynomial d).eval (PortTables.tableBits table).length) where steps := totalSteps table evals_in_steps := by rw [initial_configuration] exact tableTrace table positive steps_le_m := totalSteps_le table end DFVSGames.Foundations.Complexity.MachineLazyTable 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 end end end end end end end end end end end OAI