import Mathlib import OAI.Combinatorics.MatchingCount.Algorithm.OnlineStage import OAI.Combinatorics.MatchingCount.Algorithm.OnlineScheduleNat namespace OAI namespace MatchingFPRAS.OnlineSchedule open TreeTyped TreeFraction Transport ExecutableSource NumericLadder ExecutableScaling open TreeTyped.Numbered Enlargement UnitRefresh ExecutableAdaptive open ExecutableBottleneck ExecutableHierarchy ExecutableRefresh attribute [local instance] NumberedHierarchy.labelOrder attribute [local instance] Transport.sym2Order Transport.bagEdgeOrder Transport.bagEdgeFintype attribute [local instance] UnitRefresh.Computable.allowedDec Transport.prodOrder Transport.sumOrder def lengthAfter {A B : Type} [Codec A] [Codec B] {f : A→List B} (F : Realizer f) : Realizer (fun a=>(f a).length) := composition F listLength lemma polynomial_lengthAfter {A B : Type} [Codec A] [Codec B] {f : A→List B} {F : Realizer f} (hF : PolynomialTime F) : PolynomialTime (lengthAfter F) := polynomial_composition hF polynomial_listLength def rangeAfter {A : Type} [Codec A] {f : A→ℕ} (F : Realizer f) : Realizer (fun a=>List.range (f a)) := composition F range def listIndices {A : Type} [Codec A] : Realizer (fun xs : List A=>List.range xs.length) := composition listLength range lemma polynomial_listIndices {A : Type} [Codec A] : PolynomialTime (listIndices (A:=A)) := polynomial_boundedRange polynomial_listLength Polynomial.X (fun xs=>by simpa using list_length_le_weight xs) def indicesAfter {A B : Type} [Codec A] [Codec B] {f : A→List B} (F : Realizer f) : Realizer (fun a=>List.range (f a).length) := composition F listIndices lemma polynomial_indicesAfter {A B : Type} [Codec A] [Codec B] {f : A→List B} {F : Realizer f} (hF : PolynomialTime F) : PolynomialTime (indicesAfter F) := polynomial_composition hF polynomial_listIndices abbrev PrecisionData := ScanInput×(ℕ×ℕ) def scanError (x : PrecisionData) : ℕ := 2*(1+(x.1.1.2.2*(ladderQ x.1.1.1.1 x.1.1.1.2)^2+ladderQ x.1.1.1.1 x.1.1.1.2))+ 4*(8*x.2.1^2+4*x.2.1+3)+2*x.1.1.1.1^2*x.2.2 def scanErrorRealizer : Realizer scanError := ((((constant 2).mulNat ((constant 1).addNat ((first.fst.snd.snd.mulNat (composition (composition first.fst.fst qRealizer) (fixedPower 2))).addNat (composition first.fst.fst qRealizer)))).addNat ((constant 4).mulNat ((((constant 8).mulNat (composition second.fst (fixedPower 2))).addNat ((constant 4).mulNat second.fst)).addNat (constant 3)))).addNat (((constant 2).mulNat (composition first.fst.fst.fst (fixedPower 2))).mulNat second.snd)).congr (fun _=>rfl) lemma polynomial_scanError : PolynomialTime scanErrorRealizer := by unfold scanErrorRealizer apply polynomial_congr dsimp only [Realizer.fst, Realizer.snd] have := polynomial_q have := polynomial_fixedPower 2 simp only [Realizer.addNat,Realizer.mulNat] tree_cost def precisionPlan (x : PrecisionData) : ((ℕ×ℕ)×ℕ)×ℕ := (((Nat.clog 2 (discreteLadderSteps x.1.1.1.1 x.1.1.1.2 x.1.1.2.1 x.1.1.2.2 x.1.2 *scanError x*x.1.2), x.1.1.1.1),discreteLadderSteps x.1.1.1.1 x.1.1.1.2 x.1.1.2.1 x.1.1.2.2 x.1.2), Nat.clog 2 (6*x.2.1*x.1.2)) def precisionPlanRealizer : Realizer precisionPlan := (pair (pair (pair (composition (((composition first scansRealizer).mulNat scanErrorRealizer).mulNat first.snd) clogTwo) first.fst.fst.fst) (composition first scansRealizer)) (composition (((constant 6).mulNat second.fst).mulNat first.snd) clogTwo)).congr (fun _=>rfl) lemma polynomial_precisionPlan : PolynomialTime precisionPlanRealizer := by unfold precisionPlanRealizer apply polynomial_congr dsimp only [Realizer.fst, Realizer.snd] have := polynomial_scanError have := polynomial_scans have := polynomial_clogTwo simp only [Realizer.mulNat] tree_cost abbrev RequestInput := SparseStageData×ℕ def sourcePrecision (x : RequestInput) : PrecisionData := let b:=sparseBagInput x.1 (((((sourceVertices b).length,x.1.1.2.1.2),(x.1.1.2.1.1.2.length/2,x.1.1.2.2.1.length)), 1000*(x.1.1.2.1.1.2.length/2)*x.2), ((sourceTables b).1.length,(sourceParents b).length)) def requestBagRealizer : Realizer (fun x : RequestInput=>sparseBagInput x.1) := composition first sparseBagInputRealizer def requestKRealizer : Realizer (fun x : RequestInput=>x.1.1.2.1.1.2.length/2) := composition (pair (composition first.fst.snd.fst.fst.snd listLength) (constant 2)) quotient def requestNDRealizer : Realizer (fun x : RequestInput=>((sourceVertices (sparseBagInput x.1)).length,x.1.1.2.1.2)) := pair (composition (composition (g:=sourceVertices) requestBagRealizer sourceVerticesRealizer) listLength) first.fst.snd.fst.snd def requestKTRealizer : Realizer (fun x : RequestInput=>(x.1.1.2.1.1.2.length/2,x.1.1.2.2.1.length)) := pair requestKRealizer (composition first.fst.snd.snd.fst listLength) def requestMRealizer : Realizer (fun x : RequestInput=>1000*(x.1.1.2.1.1.2.length/2)*x.2) := ((constant 1000).mulNat requestKRealizer).mulNat second def requestScanRealizer : Realizer (fun x : RequestInput=> ((((sourceVertices (sparseBagInput x.1)).length,x.1.1.2.1.2), (x.1.1.2.1.1.2.length/2,x.1.1.2.2.1.length)),1000*(x.1.1.2.1.1.2.length/2)*x.2)) := pair (pair requestNDRealizer requestKTRealizer) requestMRealizer def requestTablesRealizer : Realizer (fun x : RequestInput=>sourceTables (sparseBagInput x.1)) := composition (f:=fun x : RequestInput=>sparseBagInput x.1) (g:=sourceTables) requestBagRealizer sourceTablesRealizer def requestCatalogRealizer : Realizer (fun x : RequestInput=>(sourceTables (sparseBagInput x.1)).1) := Realizer.fst (f:=fun x : RequestInput=>sourceTables (sparseBagInput x.1)) requestTablesRealizer def requestEdgesRealizer : Realizer (fun x : RequestInput=>(sourceTables (sparseBagInput x.1)).1.length) := lengthAfter (f:=fun x : RequestInput=>(sourceTables (sparseBagInput x.1)).1) requestCatalogRealizer def requestLabelsRealizer : Realizer (fun x : RequestInput=>(sourceParents (sparseBagInput x.1)).length) := composition (composition (g:=sourceParents) requestBagRealizer sourceParentsRealizer) listLength def sourcePrecisionRealizer : Realizer sourcePrecision := pair requestScanRealizer (pair requestEdgesRealizer requestLabelsRealizer) lemma polynomial_requestBag : PolynomialTime requestBagRealizer := polynomial_composition polynomial_first polynomial_sparseBagInput lemma polynomial_requestK : PolynomialTime requestKRealizer := by unfold requestKRealizer dsimp only [Realizer.fst, Realizer.snd] have := polynomial_quotient tree_cost lemma polynomial_requestND : PolynomialTime requestNDRealizer := by unfold requestNDRealizer dsimp only [Realizer.fst, Realizer.snd] have := polynomial_requestBag have := polynomial_sourceVertices tree_cost lemma polynomial_requestKT : PolynomialTime requestKTRealizer := by unfold requestKTRealizer dsimp only [Realizer.fst, Realizer.snd] have := polynomial_requestK tree_cost lemma polynomial_requestM : PolynomialTime requestMRealizer := polynomial_mulNat (polynomial_mulNat (polynomial_constant _) polynomial_requestK) polynomial_second lemma polynomial_requestScan : PolynomialTime requestScanRealizer := TreeTyped.polynomial_pair (TreeTyped.polynomial_pair polynomial_requestND polynomial_requestKT) polynomial_requestM lemma polynomial_requestTables : PolynomialTime requestTablesRealizer := polynomial_composition polynomial_requestBag polynomial_sourceTables lemma polynomial_requestCatalog : PolynomialTime requestCatalogRealizer := polynomial_fst polynomial_requestTables lemma polynomial_requestEdges : PolynomialTime requestEdgesRealizer := polynomial_lengthAfter polynomial_requestCatalog lemma polynomial_requestLabels : PolynomialTime requestLabelsRealizer := polynomial_composition (polynomial_composition polynomial_requestBag polynomial_sourceParents) polynomial_listLength lemma polynomial_sourcePrecision : PolynomialTime sourcePrecisionRealizer := TreeTyped.polynomial_pair polynomial_requestScan (TreeTyped.polynomial_pair polynomial_requestEdges polynomial_requestLabels) def sourceRequest (x : RequestInput) : OnlineSample.Request := let plan:=precisionPlan (sourcePrecision x) (plan.1,(plan.2,List.range ((sourceTables (sparseBagInput x.1)).1.length))) def requestPlanRealizer : Realizer (fun x : RequestInput=>precisionPlan (sourcePrecision x)) := composition (g:=precisionPlan) sourcePrecisionRealizer precisionPlanRealizer def requestIndicesRealizer : Realizer (fun x : RequestInput=>List.range (sourceTables (sparseBagInput x.1)).1.length) := indicesAfter (f:=fun x : RequestInput=>(sourceTables (sparseBagInput x.1)).1) requestCatalogRealizer def sourceRequestRealizer : Realizer sourceRequest := pair requestPlanRealizer.fst (pair requestPlanRealizer.snd requestIndicesRealizer) lemma polynomial_requestPlan : PolynomialTime requestPlanRealizer := polynomial_composition polynomial_sourcePrecision polynomial_precisionPlan lemma polynomial_requestIndices : PolynomialTime requestIndicesRealizer := polynomial_indicesAfter polynomial_requestCatalog lemma polynomial_sourceRequest : PolynomialTime sourceRequestRealizer := TreeTyped.polynomial_pair (polynomial_fst polynomial_requestPlan) (TreeTyped.polynomial_pair (polynomial_snd polynomial_requestPlan) polynomial_requestIndices) lemma sparseBagInput_source {G : GraphInput} {j : ℕ} (s : FiniteTrial.ScaleState G j) (K D : ℕ) (ft fq : List Bool) : sparseBagInput (OnlineStage.data s K D ft fq)= (((matrixRep s.activity,List.replicate (2*K+2) false),List.range G.n),List.replicate (2*K) false) := by have h:=sparseUpdateData_source s K D ft fq exact congrArg (fun x=>x.1.1.1.1) h lemma sourcePrecision_source {G : GraphInput} [Nontrivial (Fin G.n)] (hn : 2≤G.n) {j : ℕ} (s : FiniteTrial.ScaleState G j) (K D S : ℕ) (ft fq : List Bool) : sourcePrecision (OnlineStage.data s K D ft fq,S)= (((((Fintype.card (SourceVertex (Fin G.n) K)),D),(K,ft.length)),1000*K*S), (Fintype.card (BagEdge (RationalSource.bags s.activity K)),Fintype.card (RationalSource.Label s.activity K))) := by unfold sourcePrecision rw [sparseBagInput_source] dsimp only [OnlineStage.data] rw [sourceVertices_length,sourceTables_catalog hn s.activity (fun i j=>(s.activity_pos i j).le) K,sourceParents_source hn s.activity (fun i j=>(s.activity_pos i j).le) K] simp only [List.length_replicate,Nat.mul_div_cancel_left _ (by decide : 0<2),sourceCatalog,List.length_ofFn, ExecutableDP.parentRep_length] end MatchingFPRAS.OnlineSchedule end OAI