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Add lean source and binary files (part 61)
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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