import OAI.Computability.MatchingCount.RawOptimizerData namespace OAI section namespace BinaryMatching.Raw open Finset def residual (c : Matrix ℕ) (b : Matrix ℤ) (i j : ℕ) : Bool := decide (get b i j < ((get c i j : ℕ):ℤ)) def initial (n a : ℕ) : Paths := tab n (fun v => if v=a then some [a] else none) def predecessor (n : ℕ) (c : Matrix ℕ) (b : Matrix ℤ) (p : Paths) (v : ℕ) : Option ℕ := (List.range n).find? (fun u => residual c b u v && (nth p u).isSome) def pathStep (n : ℕ) (c : Matrix ℕ) (b : Matrix ℤ) (p : Paths) : Paths := tab n (fun v => match nth p v with | some l => some l | none => match predecessor n c b p v with | none => none | some u => (nth p u).map (fun l => v::l)) def search (n : ℕ) (c : Matrix ℕ) (b : Matrix ℤ) (a k : ℕ) : Paths := (pathStep n c b)^[k] (initial n a) def reached (n : ℕ) (p : Paths) : Cut := tab n (fun v => (nth p v).isSome) @[simp] lemma nth_pathRep {n : ℕ} (p : ResidualSearch.Table n) (v : Fin n) : nth (pathRep p) v.val=(p v).map (List.map Fin.val) := by simp [pathRep] lemma residual_rep {n : ℕ} (c : Fin n → Fin n → ℕ) (b : UnitFlow.Matrix (Fin n)) (i j : Fin n) : residual (matrixRep c) (matrixRep b) i.val j.val=decide (UnitMincut.residual c b i j) := by simp only [residual,UnitMincut.residual,get_rep] rfl lemma initial_rep {n : ℕ} (a : Fin n) : initial n a.val=pathRep (ResidualSearch.initial a) := by apply tab_eq_rep intro v simp only [ResidualSearch.initial] by_cases hv : v=a · simp [hv] · have hval : v.val≠a.val := fun h => hv (Fin.ext h) simp [hv,hval] lemma predecessor_rep {n : ℕ} (c : Fin n → Fin n → ℕ) (b : UnitFlow.Matrix (Fin n)) (p : ResidualSearch.Table n) (v : Fin n) : predecessor n (matrixRep c) (matrixRep b) (pathRep p) v.val= (ResidualSearch.predecessor (UnitMincut.residual c b) p v).map Fin.val := by unfold predecessor ResidualSearch.predecessor rw [range_eq_fin,List.find?_map] congr 1 congr 1 funext u simp only [Function.comp_apply,residual_rep,nth_pathRep,Option.isSome_map] lemma pathStep_rep {n : ℕ} (c : Fin n → Fin n → ℕ) (b : UnitFlow.Matrix (Fin n)) (p : ResidualSearch.Table n) : pathStep n (matrixRep c) (matrixRep b) (pathRep p)= pathRep (ResidualSearch.step (UnitMincut.residual c b) p) := by apply tab_eq_rep intro v rw [nth_pathRep] simp only [ResidualSearch.step] cases hp : p v with | some l => rfl | none => simp only [Option.map_none,predecessor_rep] cases hu : ResidualSearch.predecessor (UnitMincut.residual c b) p v with | none => rfl | some u => simp only [Option.map_some,nth_pathRep,Option.map_map] rfl lemma search_rep {n : ℕ} (c : Fin n → Fin n → ℕ) (b : UnitFlow.Matrix (Fin n)) (a : Fin n) (k : ℕ) : search n (matrixRep c) (matrixRep b) a.val k= pathRep (ResidualSearch.search (UnitMincut.residual c b) a k) := by induction k with | zero => exact initial_rep a | succ k ih => simp only [search,Function.iterate_succ_apply'] at * rw [ih,pathStep_rep] rfl lemma reached_rep {n : ℕ} (p : ResidualSearch.Table n) : reached n (pathRep p)=cutRep (ResidualSearch.reached p) := by apply tab_eq_rep intro v simp only [nth_pathRep,Option.isSome_map,ResidualSearch.mem_reached] cases p v <;> rfl def pathFlow (p : List ℕ) (i j : ℕ) : ℤ := ((p.zip p.tail).map (fun vu => (if i=vu.2 ∧ j=vu.1 then 1 else 0)-(if i=vu.1 ∧ j=vu.2 then 1 else 0))).sum lemma pathFlow_rep {n : ℕ} (p : List (Fin n)) (i j : Fin n) : pathFlow (p.map Fin.val) i.val j.val=UnitFlow.pathFlow p i j := by induction p using List.twoStepInduction with | nil => simp [pathFlow,UnitFlow.pathFlow] | singleton v => simp [pathFlow,UnitFlow.pathFlow] | cons_cons v u p _ ih => have hv : (i.val=v.val)↔i=v := Fin.ext_iff.symm have hu : (i.val=u.val)↔i=u := Fin.ext_iff.symm have jv : (j.val=v.val)↔j=v := Fin.ext_iff.symm have ju : (j.val=u.val)↔j=u := Fin.ext_iff.symm simp only [pathFlow,List.map_cons,List.tail_cons,List.zip_cons_cons,List.sum_cons, UnitFlow.pathFlow,UnitFlow.arc,hv,hu,jv,ju] at * rw [ih] omega end BinaryMatching.Raw end end OAI