import Mathlib import OAI.Combinatorics.MatchingCount.Machines.TreeSlotWeight namespace OAI namespace MatchingFPRAS.TreeFraction lemma fold_sum_repr (xs : List ℚ) (hx : ∀ x∈xs,0≤x) (a : ℚ) (ha : 0≤a) : ((xs.map repr).foldl (fun a b=>add (b,a)) (repr a))=repr (xs.sum+a) := by induction xs generalizing a with | nil => simp | cons x xs ih => have h : 0≤x:=hx x (by simp) simp only [List.map_cons,List.foldl_cons,add_repr h ha] rw [ih (fun y hy=>hx y (by simp [hy])) (x+a) (add_nonneg h ha)] congr 1 simp only [List.sum_cons] ring lemma sum_repr (xs : List ℚ) (hx : ∀ x∈xs,0≤x) : sum (xs.map repr)=repr xs.sum := by unfold sum have h:=fold_sum_repr xs hx 0 (by decide) simpa only [add_zero,show repr (0:ℚ)=(0,1) from rfl] using h end MatchingFPRAS.TreeFraction namespace MatchingFPRAS.ExecutableEstimator open TreeTyped TreeFraction def mean (xs : List Fraction) : Fraction := div (sum xs,(xs.length,1)) def meanRealizer : Realizer mean := composition (pair sumRealizer (pair listLength (constant 1))) divRealizer lemma polynomial_mean : PolynomialTime meanRealizer := by unfold meanRealizer apply polynomial_composition _ polynomial_div exact polynomial_pair polynomial_sum (polynomial_pair polynomial_listLength (polynomial_constant _)) lemma mean_rep (xs : List ℚ) (hx : ∀ x∈xs,0≤x) : mean (xs.map TreeFraction.repr)=TreeFraction.repr (xs.sum/xs.length) := by unfold mean rw [sum_repr xs hx,List.length_map,←repr_nat xs.length,div_repr (List.sum_nonneg hx) (by positivity)] def ratio (x : Fraction×Fraction) : Fraction := if less ((0,1),x.1) then div (x.2,x.1) else (1,1) def ratioRealizer : Realizer ratio := (choose (composition (pair (constant (0,1)) first) lessRealizer) (composition (pair second first) divRealizer) (constant (1,1))).congr (fun _=>rfl) lemma polynomial_ratio : PolynomialTime ratioRealizer := by unfold ratioRealizer apply polynomial_congr have := TreeFraction.polynomial_less have := polynomial_div tree_cost lemma ratio_rep (a d : ℚ) (ha : 0≤a) (hd : 0≤d) : ratio (TreeFraction.repr a,TreeFraction.repr d)=TreeFraction.repr (Counting.ratioEstimate a d) := by unfold ratio Counting.ratioEstimate rw [show ((0,1) : Fraction)=TreeFraction.repr (0:ℚ) from rfl, less_val _ _ (by decide) a.pos,val_repr (by decide),val_repr ha] simp only [decide_eq_true_eq] split_ifs · exact div_repr hd ha · rfl def upper (x : ℕ×(Fraction×Fraction)) : Fraction := if less ((0,1),x.2.1) then maximum ((1,100000),minimum ((3,1),add (div (mul ((x.1,1),x.2.2),x.2.1),(1,100000)))) else (1,1) def upperRealizer : Realizer upper := by let q : Realizer (fun x : ℕ×(Fraction×Fraction)=> div (mul ((x.1,1),x.2.2),x.2.1)) := (composition (pair (composition (pair (pair first (constant 1)) second.snd) mulRealizer) second.fst) divRealizer).congr (fun _=>rfl) exact (choose (composition (pair (constant (0,1)) second.fst) lessRealizer) (composition (pair (constant (1,100000)) (composition (pair (constant (3,1)) (composition (pair q (constant (1,100000))) addRealizer)) minimumRealizer)) maximumRealizer) (constant (1,1))).congr (fun _=>rfl) lemma polynomial_upper : PolynomialTime upperRealizer := by unfold upperRealizer Realizer.fst Realizer.snd dsimp only apply polynomial_congr have := TreeFraction.polynomial_less have := polynomial_div have := polynomial_mul have := TreeFraction.polynomial_add have := TreeFraction.polynomial_minimum have := polynomial_maximum tree_cost lemma upper_rep (D : ℕ) (d z : ℚ) (hd : 0≤d) (hz : 0≤z) : upper (D,(TreeFraction.repr d,TreeFraction.repr z))=TreeFraction.repr (Counting.upperEstimate D d z) := by have ha : ((1,100000) : Fraction)=TreeFraction.repr Counting.alpha := by norm_num [TreeFraction.repr,Counting.alpha] have ha0 : (0:ℚ)≤Counting.alpha := by norm_num [Counting.alpha] have h0 : ((0,1) : Fraction)=TreeFraction.repr (0:ℚ) := rfl have h3 : ((3,1) : Fraction)=TreeFraction.repr (3:ℚ) := rfl unfold upper Counting.upperEstimate rw [h0,less_val _ _ (by decide) d.pos,val_repr (by decide),val_repr hd] simp only [decide_eq_true_eq] split_ifs · rw [ha,h3,←repr_nat D,mul_repr (by positivity) hz,div_repr (by positivity) hd, add_repr (by positivity) ha0,minimum_repr (by decide) (by positivity),maximum_repr ha0 (by positivity)] · rfl end MatchingFPRAS.ExecutableEstimator end OAI