import OAI.Computability.Superstring.GroupPoly namespace OAI namespace Superstring.CollectionCode open BitCode Hierarchical LayerArray WalkCode BlockClose variable {α G : Type} [Inhabited α] [LinearOrder α] [Coded α] abbrev Context (α : Type) := Walk α × Env α × ℕ abbrev Input (α : Type) := Context α × State α def iterStep (q : Input α) : Input α := (q.1,advance q.1.1 q.1.2.1 q.1.2.2 q.2) def schedulerCapacity (q : Input α) : ℕ := bitSize q.1+bitSize (gs q.1.2.1)+bitSize q.2.2.2+1+ (2*budget q.1.2.1 q.2+1)*(bitSize q.1.1+1)+(gs q.1.2.1).length*maxExtras q.1.2.1 q.1.2.2 def sweep (q : Context α) : Plan α := let s : Input α := (q,initial q.2.1) (((cappedStep iterStep)^[((gs q.2.1).length)] (schedulerCapacity s,s)).2).2.2 omit [Coded α] in theorem iterate_iterStep (q : Input α) (n : ℕ) : iterStep^[n] q = (q.1,(advance q.1.1 q.1.2.1 q.1.2.2)^[n] q.2) := by induction n with | zero => rfl | succ n ih => rw [Function.iterate_succ_apply',ih,Function.iterate_succ_apply']; rfl namespace Model variable {vs : Walk α} {X : Env α} {C : LayerCollection {w | w ∈ vs} G} (h : Model X C) theorem state_size (M : ℕ) (s t : State α) (ht : Invariant h t) (hc : budget X t ≤ budget X s) (he : bitSize t.2.2 ≤ bitSize s.2.2+(gs X).length*maxExtras X M) : bitSize (((vs,X,M),t) : Input α) ≤ schedulerCapacity ((vs,X,M),s) := by have hi := bitSize_sublist ht.todo have hp : cost t.2.1 ≤ budget X s := by unfold budget planBudget at hc ⊢ omega have hv : ∀ w ∈ t.2.1, bitSize w ≤ bitSize vs := fun w hw => bitSize_mem (ht.good.1.1.2.1 w hw) have hh := bitSize_map_le t.2.1 (fun w => w) (bitSize vs) hv change bitSize (List.map (id : List α → List α) t.2.1) ≤ _ at hh rw [List.map_id,rooted_length ht.good.1] at hh have ht1 := bitSize_prod t.1 t.2 have ht2 := bitSize_prod t.2.1 t.2.2 simp only [Prod.eta] at ht1 ht2 have hm := Nat.mul_le_mul_right (bitSize vs+1) (show 2*cost t.2.1+1 ≤ 2*budget X s+1 by omega) simp only [bitSize_prod] at hi he ⊢ unfold schedulerCapacity simp only [bitSize_prod] omega theorem sweep_spec (closed : SubstringClosed {w | w ∈ vs}) (nil_mem : ([] : List α) ∈ vs) (supply : C.RecordSupply) (M : ℕ) (len : ∀ w ∈ vs, w.length ≤ M) : let o := sweep (vs,X,M) GoodPlan h o ∧ planBudget X o ≤ ((gs X).map (charge X)).sum ∧ o.2.2=[] ∧ ∀ i ∈ ids X, Covered X o i := by have hi := h.iterate_advance vs closed supply M len (initial X) (h.initial_invariant vs nil_mem) have he := iterate_cappedStep_eq iterStep (gs X).length (schedulerCapacity (((vs,X,M),initial X) : Input α)) (((vs,X,M),initial X) : Input α) (by intro n hn _ rw [iterate_iterStep] apply h.state_size M (initial X) _ (hi n).1 (hi n).2.1 have hh := (hi n).2.2.2 have hm := Nat.mul_le_mul_right (maxExtras X M) (show n ≤ (gs X).length by omega) omega) have hh := hi (gs X).length let t := (advance vs X M)^[(gs X).length] (initial X) change Invariant h t ∧ _ at hh have hz : t.1=[] := by apply List.length_eq_zero_iff.mp have ht := hh.2.2.1 change t.1.length ≤ (gs X).length-(gs X).length at ht omega have hr : t.2.2.2=[] := by by_contra hn obtain ⟨r,hr⟩ := List.exists_mem_of_ne_nil _ hn have ht := hh.1.targets r hr rw [hz] at ht exact List.not_mem_nil ht unfold sweep dsimp only rw [he,iterate_iterStep] change GoodPlan h t.2 ∧ _ refine ⟨hh.1.good,?_,hr,?_⟩ · change planBudget X t.2 ≤ _ have hc := hh.2.1 change budget X t ≤ budget X (initial X) at hc simpa only [budget,hz,initial,planBudget,cost_singleton,List.map_nil,List.sum_nil,Nat.add_zero,Nat.zero_add] using hc · intro i hi obtain ⟨j,rfl⟩ := (h.mem_ids i).mp hi rcases hh.1.ready j with hj|hj · rw [hz] at hj; exact False.elim (List.not_mem_nil hj) · exact hj end Model end Superstring.CollectionCode namespace Superstring.CollectionCode open BitCode Hierarchical LayerArray WalkCode BlockClose variable {α : Type} [Inhabited α] [LinearOrder α] [Coded α] omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_gs : Poly (gs : Env α → List ℕ) := by unfold gs; fun_prop omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_pick : Poly (fun q : Env α × List ℕ => pick q.1 q.2) := by unfold pick firstGood have hp : Poly (fun q : (Env α × List ℕ) × ℕ => q.1.2.all (fun j => lessEq (per q.1.1 q.2) (per q.1.1 j))) := BitCode.Poly.allFn (p := fun q : ((Env α × List ℕ) × ℕ) × ℕ => lessEq (per q.1.1.1 q.1.2) (per q.1.1.1 q.2)) (by fun_prop) (by fun_prop) exact (BitCode.Poly.headD 0).comp (BitCode.Poly.filterFn hp BitCode.Poly.snd) @[fun_prop] theorem poly_without : Poly (fun q : List ℕ × ℕ => without q.1 q.2) := by unfold without exact BitCode.Poly.filterFn (p := fun q : (List ℕ × ℕ) × ℕ => !(equal q.2 q.1.2)) (by fun_prop) (by fun_prop) omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_inRequests : Poly (fun q : Env α × ℕ × List Request => inRequests q.1 q.2.1 q.2.2) := by unfold inRequests Request.target exact BitCode.Poly.filterFn (p := fun q : (Env α × ℕ × List Request) × Request => equal (owner q.1.1 q.2.2.1) q.1.2.1) (by fun_prop) (by fun_prop) omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_restRequests : Poly (fun q : Env α × ℕ × List Request => restRequests q.1 q.2.1 q.2.2) := by unfold restRequests Request.target exact BitCode.Poly.filterFn (p := fun q : (Env α × ℕ × List Request) × Request => !(equal (owner q.1.1 q.2.2.1) q.1.2.1)) (by fun_prop) (by fun_prop) omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_charge : Poly (fun q : Env α × ℕ => charge q.1 q.2) := by unfold charge; fun_prop omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_requestReserve : Poly (fun q : Env α × Request => q.2.reserve q.1) := by unfold Request.reserve Request.members Request.source fun_prop omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_planBudget : Poly (fun q : Env α × Plan α => planBudget q.1 q.2) := by have hr : Poly (fun q : Env α × Plan α => (q.2.2.2.map (Request.reserve q.1)).sum) := BitCode.Poly.sum.comp (BitCode.Poly.mapFn (f := fun q : (Env α × Plan α) × Request => q.2.reserve q.1.1) (by fun_prop) (by fun_prop)) have hb : Poly (fun q : Env α × Plan α => (q.2.2.1.map Block.reserve).sum) := BlockClose.poly_reserves.comp (by fun_prop) unfold planBudget fun_prop omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_budget : Poly (fun q : Env α × State α => budget q.1 q.2) := by have hr : Poly (fun q : Env α × State α => (q.2.1.map (charge q.1)).sum) := BitCode.Poly.sum.comp (BitCode.Poly.mapFn (f := fun q : (Env α × State α) × ℕ => charge q.1.1 q.2) (by fun_prop) (by fun_prop)) unfold budget fun_prop @[fun_prop] theorem poly_extraSizes (hlt : Poly (fun q : α × α => decide (q.1 extraSizes q.1 q.2) := by have hc := poly_complete hlt unfold extraSizes apply BitCode.Poly.flatMapFn (f := fun q : (Env α × ℕ) × ℕ => (List.range ((data q.1.1 q.2).2.length+1)).map (fun cut => bitSize (complete q.1.1 q.2 cut q.1.2 [[]]).2)) · exact BitCode.Poly.mapFn (f := fun q : ((Env α × ℕ) × ℕ) × ℕ => bitSize (complete q.1.1.1 q.1.2 q.2 q.1.1.2 [[]]).2) (by fun_prop) (by fun_prop) · fun_prop @[fun_prop] theorem poly_maxExtras (hlt : Poly (fun q : α × α => decide (q.1 maxExtras q.1 q.2) := BitCode.Poly.maxFold.comp (poly_extraSizes hlt) omit [Inhabited α] [LinearOrder α] in @[fun_prop] theorem poly_initial : Poly (initial : Env α → State α) := by unfold initial; fun_prop @[fun_prop] theorem poly_advance (hlt : Poly (fun q : α × α => decide (q.1 advance q.1.1 q.1.2.1 q.1.2.2 q.2) := by have hp := poly_process hlt have ho : Poly (fun q : Input α => process q.1.1 q.1.2.1 (pick q.1.2.1 q.2.1) q.1.2.2 (inRequests q.1.2.1 (pick q.1.2.1 q.2.1) q.2.2.2.2)) := hp.comp (f := fun q : Input α => ((q.1.1,q.1.2.1),pick q.1.2.1 q.2.1,q.1.2.2, inRequests q.1.2.1 (pick q.1.2.1 q.2.1) q.2.2.2.2)) (by fun_prop) unfold advance dsimp only apply BitCode.Poly.ite (by fun_prop) (by fun_prop) fun_prop @[fun_prop] theorem poly_schedulerStep (hlt : Poly (fun q : α × α => decide (q.1 decide (q.1 decide (q.1 ((cappedStep iterStep)^[(gs q.2.1).length] (schedulerCapacity (q,initial q.2.1),(q,initial q.2.1))).2) := (BitCode.Poly.cappedIterate (poly_schedulerStep hlt)).comp (f := fun q : Context α => ((gs q.2.1).length,(schedulerCapacity (q,initial q.2.1),(q,initial q.2.1)))) (by fun_prop) exact BitCode.Poly.snd.comp (BitCode.Poly.snd.comp ht) end Superstring.CollectionCode namespace Superstring.CollectionCode open BitCode Hierarchical LayerArray WalkCode BlockClose variable {α G : Type} [Inhabited α] [LinearOrder α] [Coded α] def tour (q : Context α) : Walk α := let o := sweep q close ((q.1,contents q.2.1),o.1,o.2.1) @[fun_prop] theorem poly_tour (hlt : Poly (fun q : α × α => decide (q.1 ((q.1,contents q.2.1),(sweep q).1,(sweep q).2.1)) (by fun_prop) namespace Model variable {vs : Walk α} {X : Env α} {C : LayerCollection {w | w ∈ vs} G} (h : Model X C) include h in theorem tour_spec (closed : SubstringClosed {w | w ∈ vs}) (nil_mem : ([] : List α) ∈ vs) (supply : C.RecordSupply) (M : ℕ) (len : ∀ w ∈ vs, w.length ≤ M) : Runs {w | w ∈ vs} [] [] (tour (vs,X,M)) ∧ cost (tour (vs,X,M)) ≤ ((gs X).map (charge X)).sum ∧ ∀ i ∈ ids X, ∀ w ∈ ls X i, w ∈ tour (vs,X,M) := by obtain ⟨hg,hb,hr,hcov⟩ := h.sweep_spec closed nil_mem supply M len let o := sweep (vs,X,M) have hh := BlockClose.close_spec ((vs,contents X),o.1,o.2.1) closed (ids X) (owner X) (per X) (rank X) hg.1 hg.2.1 (by intro i hi rcases hcov i hi with hh|hh|⟨r,hm,_⟩ · exact Or.inl hh · exact Or.inr hh · rw [hr] at hm; exact False.elim (List.not_mem_nil hm)) change Runs _ [] [] (tour (vs,X,M)) ∧ _ at hh refine ⟨hh.1,?_,hh.2.2.2⟩ have hc := hh.2.1 change cost (tour (vs,X,M)) ≤ cost o.1+(o.2.1.map Block.reserve).sum at hc change planBudget X o ≤ _ at hb unfold planBudget at hb omega end Model end Superstring.CollectionCode end OAI