import OAI.Probability.MatroidProphet.Rounding import OAI.Probability.MatroidProphet.LayerGreedy namespace OAI namespace MatroidProphet open Set Finset noncomputable def assignedEligible {n : ℕ} {K : Type*} (assign : Fin n → K → Option ℤ) (v : Fin n → K) : Finset (Fin n) := by classical exact univ.filter fun e => assign e (v e) ≠ none def assignedLayer {n : ℕ} {K : Type*} (assign : Fin n → K → Option ℤ) (v : Fin n → K) (e : Fin n) : ℤ := (assign e (v e)).getD 0 noncomputable def layerKeyDecision {n : ℕ} {K : Type*} (M : Matroid (Fin n)) (base : ℤ → Set (Fin n)) (assign : Fin n → K → Option ℤ) (k : Fin n) (hist : Fin (k.val+1) → Fin n × K) : Bool := by classical let current := hist ⟨k.val, Nat.lt_succ_self _⟩ exact match assign current.1 current.2 with | none => false | some b => decide (current.1 ∉ M.closure (base b ∪ {f | ∃ j : Fin (k.val+1), j.val < k.val ∧ (hist j).1 = f ∧ assign (hist j).1 (hist j).2 = some b})) def keyHistory {n : ℕ} {K : Type*} (v : Fin n → K) (π : ArrivalOrder n) (k : Fin n) : Fin (k.val+1) → Fin n × K := fun j => (π (prefixIndex k j), v (π (prefixIndex k j))) lemma keyHistory_current {n : ℕ} {K : Type*} (v : Fin n → K) (π : ArrivalOrder n) (k : Fin n) : keyHistory v π k ⟨k.val, Nat.lt_succ_self _⟩ = (π k, v (π k)) := by rfl lemma keyHistory_prior {n : ℕ} {K : Type*} (v : Fin n → K) (assign : Fin n → K → Option ℤ) (π : ArrivalOrder n) (k : Fin n) (b : ℤ) : {f | ∃ j : Fin (k.val+1), j.val < k.val ∧ (keyHistory v π k j).1 = f ∧ assign (keyHistory v π k j).1 (keyHistory v π k j).2 = some b} = layerPrior (assignedEligible assign v) (assignedLayer assign v) (fun e => (π.symm e).val) b k.val := by classical ext f have hel : f ∈ assignedEligible assign v ∧ assignedLayer assign v f = b ↔ assign f (v f) = some b := by cases h : assign f (v f) <;> simp [assignedEligible, assignedLayer, h] constructor · rintro ⟨j, hj, rfl, hb⟩ simp only [keyHistory] at * refine ⟨?_, ?_, ?_⟩ · simp [assignedEligible, hb] · simp [assignedLayer, hb] · simpa [prefixIndex] using hj · rintro ⟨he, hb, ht⟩ change (π.symm f).val < k.val at ht have hass := hel.mp ⟨he, hb⟩ let j : Fin (k.val+1) := ⟨(π.symm f).val, by omega⟩ have hidx : prefixIndex k j = π.symm f := by rfl refine ⟨j, ht, ?_, ?_⟩ · simp [keyHistory, hidx] · simpa [keyHistory, hidx] using hass theorem layerKeyDecision_eq_greedy {n : ℕ} {K : Type*} (M : Matroid (Fin n)) (base : ℤ → Set (Fin n)) (assign : Fin n → K → Option ℤ) (v : Fin n → K) (π : ArrivalOrder n) (k : Fin n) : layerKeyDecision M base assign k (keyHistory v π k) = true ↔ π k ∈ layerGreedy M (assignedEligible assign v) base (assignedLayer assign v) (fun e => (π.symm e).val) := by classical unfold layerKeyDecision rw [keyHistory_current] dsimp only cases h : assign (π k) (v (π k)) with | none => simp [assignedEligible, layerGreedy, h] | some b => dsimp only rw [keyHistory_prior] simp [layerGreedy, assignedEligible, assignedLayer, h] noncomputable def layerOnlineRule {n bits : ℕ} {K : Type*} [Countable K] [MeasurableSpace K] [MeasurableSingletonClass K] (M : Matroid (Fin n)) (key : ℝ → K) (hkey : Measurable key) (base : Seed bits → (Fin n → K) → ℤ → Set (Fin n)) (assign : Seed bits → (Fin n → K) → Fin n → K → Option ℤ) : OnlineRule n bits := discreteOnlineRule key hkey fun k r s hist => layerKeyDecision M (base r s) (assign r s) k hist theorem layerOnlineRule_accepted {n bits : ℕ} {K : Type*} [Countable K] [MeasurableSpace K] [MeasurableSingletonClass K] (M : Matroid (Fin n)) (key : ℝ → K) (hkey : Measurable key) (base : Seed bits → (Fin n → K) → ℤ → Set (Fin n)) (assign : Seed bits → (Fin n → K) → Fin n → K → Option ℤ) (r : Seed bits) (s v : Weights n) (π : ArrivalOrder n) : accepted (layerOnlineRule M key hkey base assign) r s v π = layerGreedy M (assignedEligible (assign r (fun e => key (s e))) (fun e => key (v e))) (base r (fun e => key (s e))) (assignedLayer (assign r (fun e => key (s e))) (fun e => key (v e))) (fun e => (π.symm e).val) := by classical ext e simp only [accepted, acceptedThrough, mem_filter, Finset.mem_univ, true_and, (π.symm e).isLt] change layerKeyDecision M (base r (fun e => key (s e))) (assign r (fun e => key (s e))) (π.symm e) (keyHistory (fun f => key (v f)) π (π.symm e)) = true ↔ _ simpa only [Equiv.apply_symm_apply] using layerKeyDecision_eq_greedy M (base r (fun e => key (s e))) (assign r (fun e => key (s e))) (fun e => key (v e)) π (π.symm e) lemma acceptedThrough_subset_accepted {n bits : ℕ} (A : OnlineRule n bits) (r : Seed bits) (s v : Weights n) (π : ArrivalOrder n) (t : ℕ) : acceptedThrough A r s v π t ⊆ accepted A r s v π := by classical intro e he have hd := (mem_filter.mp he).2.2 exact mem_filter.mpr ⟨mem_univ e, (π.symm e).isLt, hd⟩ theorem layerOnlineRule_feasible {n bits : ℕ} {K : Type*} [Countable K] [MeasurableSpace K] [MeasurableSingletonClass K] (M : Matroid (Fin n)) (hE : M.E = Set.univ) (key : ℝ → K) (hkey : Measurable key) (base : Seed bits → (Fin n → K) → ℤ → Set (Fin n)) (assign : Seed bits → (Fin n → K) → Fin n → K → Option ℤ) (hlower : ∀ r s v, ∀ e ∈ assignedEligible (assign r s) v, ∀ f ∈ assignedEligible (assign r s) v, assignedLayer (assign r s) v e < assignedLayer (assign r s) v f → e ∈ base r s (assignedLayer (assign r s) v f)) : Feasible M (layerOnlineRule M key hkey base assign) := by intro r s v π t _ _ have htime : Function.Injective (fun e => (π.symm e).val) := by intro e f h exact π.symm.injective (Fin.ext h) have hi := layerGreedy_indep M (assignedEligible (assign r (fun e => key (s e))) (fun e => key (v e))) (base r (fun e => key (s e))) (assignedLayer (assign r (fun e => key (s e))) (fun e => key (v e))) (fun e => (π.symm e).val) hE htime (hlower r (fun e => key (s e)) (fun e => key (v e))) apply hi.subset intro e he have hm := acceptedThrough_subset_accepted (layerOnlineRule M key hkey base assign) r s v π t he rwa [layerOnlineRule_accepted] at hm end MatroidProphet end OAI