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Add lean source and binary files (part 47)
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import Mathlib
import OAI.Combinatorics.MatchingCount.Algorithm.OnlineInitialLaw
import OAI.Combinatorics.MatchingCount.Tapes.Input
import OAI.Combinatorics.MatchingCount.Sampling.Endpoints2
import OAI.Combinatorics.MatchingCount.Machines.OnlineCase
import OAI.Combinatorics.MatchingCount.Graphs.OnlineGraphInvariant
namespace OAI
namespace MatchingFPRAS.LiteralAlgorithm
open TreeTyped TreeFraction PhysicalStream LiteralInput Polynomial
def empty (x : Parsed) : Bool := decide (x.1=0)
def emptyRealizer : Realizer empty := composition (pair first (constant 0)) natEqual
lemma polynomial_empty : PolynomialTime emptyRealizer := by
exact polynomial_composition (polynomial_pair polynomial_first (polynomial_constant 0)) polynomial_natEqual
def invalid (x : Parsed) : Bool := !(decide (x.1%2=0)) || ExecutableInput.tooSparse (x.1,x.2.1)
def invalidRealizer : Realizer invalid :=
(choose (composition first ExecutableSource.evenTest)
(composition (pair first second.fst) ExecutableInput.tooSparseRealizer) (constant true)).congr (by
intro x
unfold invalid
cases h : decide (x.1%2=0) <;> simp only [Function.comp_apply,h,Bool.not_true,Bool.not_false,Bool.false_or,Bool.true_or,Bool.false_eq_true,ite_false,ite_true])
lemma polynomial_invalid : PolynomialTime invalidRealizer := by
unfold invalidRealizer Realizer.fst
apply polynomial_congr
have := ExecutableSource.polynomial_evenTest
have := ExecutableInput.polynomial_tooSparse
tree_cost
def materialize (x : Parsed) : OnlineInitial.Seed := ((List.range x.1,x.2.1),x.2.2)
def materializeRealizer : Realizer materialize :=
pair (pair (composition first range) second.fst) second.snd
lemma work_materialize : WorkBound materializeRealizer (fun x=>x.1+weight x) := by
have lift {A : Type} [Codec A] {f : Parsed→A} {F : Realizer f} (hF : PolynomialTime F) :
WorkBound F (fun x=>x.1+weight x) := work_of_polynomial hF X (by intro x;simp)
unfold materializeRealizer Realizer.fst Realizer.snd
apply work_pair _ (lift (by tree_cost)) X (by intro x;simp)
apply work_pair _ (lift (by tree_cost)) X (by intro x;simp)
apply work_composition (lift polynomial_first) range_numeric_work X
intro x;simp
def compute (x : Parsed) : Experiment Fraction :=
OnlineAmplification.run (OnlineInitial.initializeInput (materialize x))
noncomputable def computeRealizer : OnlineTree.Realizer compute :=
(OnlineTree.composition (OnlineTree.deterministic
(composition materializeRealizer OnlineInitial.initializeInputRealizer)) OnlineAmplification.runRealizer).congr (fun _ _=>rfl)
def count (x : Parsed) : Experiment Fraction :=
if empty x then .done (1,1) else if invalid x then .done (0,1) else compute x
noncomputable def countRealizer : OnlineTree.Realizer count :=
(OnlineTree.conditional emptyRealizer (OnlineTree.deterministic (constant (1,1)))
(OnlineTree.conditional invalidRealizer (OnlineTree.deterministic (constant (0,1))) computeRealizer)).congr (fun _ _=>rfl)
def algorithm (as : List Symbol) : Experiment (List Symbol) :=
(count (parseInput as)).map LiteralCodec.ratWord
noncomputable def algorithmRealizer : OnlineTree.Realizer algorithm :=
(OnlineTree.composition (OnlineTree.composition (OnlineTree.deterministic parseInputRealizer) countRealizer)
(OnlineTree.deterministic LiteralCodec.ratWordRealizer)).congr (by
intro as h;simp only [algorithm,Experiment.mean_bind,Experiment.mean,Experiment.mean_map])
lemma edgeNumbers_length (G : GraphInput) : (edgeNumbers G).length=G.edges.card := by
simp only [edgeNumbers,List.length_map,Finset.length_sort,Finset.card_map]
lemma edgeNumbers_mem (G : GraphInput) (e : ℕ×ℕ) :
e∈edgeNumbers G ↔ e∈(ExecutableAdaptive.graphRep G).2 := by
classical
simp only [edgeNumbers,ExecutableAdaptive.graphRep,List.mem_map,Finset.mem_sort,
Finset.mem_map,Finset.mem_toList]
constructor
· rintro ⟨a,⟨b,hb,rfl⟩,he⟩
exact ⟨b,hb,he⟩
· rintro ⟨b,hb,he⟩
exact ⟨toLex b,⟨b,hb,rfl⟩,he⟩
noncomputable def reorder (G : GraphInput) (es : OnlineGraph.Edges) : OnlineGraph.Edges :=
if es=(ExecutableAdaptive.graphRep G).2 then edgeNumbers G else es
lemma reorder_mem (G : GraphInput) (es : OnlineGraph.Edges) (e : ℕ×ℕ) :
e∈reorder G es ↔ e∈es := by
classical
unfold reorder
split
· rename_i he;rw [he];exact edgeNumbers_mem G e
· rfl
lemma materialize_source (G : GraphInput) (ε δ : ℚ) :
materialize (parseInput (encodeInput G ε δ))=
OnlineGraph.seed (reorder G) (OnlineInitial.sourceSeed (G:=G) ε δ) := by
rw [parseInput_source]
unfold materialize OnlineGraph.seed OnlineGraph.graph OnlineInitial.sourceSeed reorder
simp only [ite_true]
rfl
lemma compute_mean {G : GraphInput} [Nontrivial (Fin G.n)]
(hn : 2≤G.n) (hev : Even G.n) (ε δ : ℚ) (he : 0<ε) (he1 : ε<1) (hd : 0≤δ)
(h : Fraction→ℚ) :
(compute (parseInput (encodeInput G ε δ))).mean h=
PhysicalStream.qaverage (fun b=>h (TreeFraction.repr
(FiniteTrial.guardedAmplifiedBitOutput (FiniteTrial.parameters G hn hev ε he he1) δ b))) := by
unfold compute
rw [materialize_source,OnlineGraph.initialize_mean (reorder G) (reorder_mem G),
OnlineInitial.initializeInput_source hn hev ε δ he he1 hd]
exact OnlineAmplification.run_mean _ δ h
end MatchingFPRAS.LiteralAlgorithm
end OAI