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Add lean source and binary files (part 47)
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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