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import OAI.Computability.PerfectCompleteness.Foundations.OriginalWholeCut
import OAI.Computability.PerfectCompleteness.Sampling.BucketUniformLemmas
import OAI.Computability.PerfectCompleteness.Sampling.CutSamplerReplayTransportLemmas
namespace OAI
section
namespace PerfectCompleteness.OriginalUniformCutBase
open RecursiveSpaces DescendantSpaces TreeSourceSpaces HierarchicalArrays
open OriginalWholeCut
open UniqueGamesTheorem.Foundations.Games
open scoped BigOperators Classical
noncomputable section
variable {branch : Nat → Nat} {n t : Nat}
@[instance_reducible] def valuesChildrenFintype (C : Type*)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) (rows : Nat → Nat)
[hValues : Fintype (C → H slots)] [hChildren : Fintype (ChildArrays rows slots)] :
Fintype ((C → H slots) × ChildArrays rows slots) :=
@instFintypeProd (C → H slots) (ChildArrays rows slots) hValues hChildren
attribute [local instance 2000] instFintypeProd
def assembleEquiv
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) (rows : Nat → Nat) :
((Fin (rows (n + 1)) → H slots) × ChildArrays rows slots) ≃ Arrays slots rows where
toFun z := WholeArraySampler.assemble slots rows z.1 z.2
invFun arrays := (arrays (.inl ()), fun child node => arrays (.inr (child, node)))
left_inv z := by
rcases z with ⟨root, children⟩
rfl
right_inv arrays := by
funext node
rcases node with u | ⟨child, node⟩
· cases u
rfl
· rfl
theorem uniform_assemble_law
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) (rows : Nat → Nat) :
((FiniteDistribution.uniform (Fin (rows (n + 1)) → H slots)).product
(FiniteDistribution.uniform (ChildArrays rows slots))).pushforward
(fun z => WholeArraySampler.assemble slots rows z.1 z.2) =
FiniteDistribution.uniform (Arrays slots rows) := by
rw [WholeCutSampler.uniform_product]
change (FiniteDistribution.uniform
((Fin (rows (n + 1)) → H slots) × ChildArrays rows slots)).pushforward
(assembleEquiv slots rows) = _
rw [← FiniteDistribution.transport_eq_pushforward]
exact UniformConditioning.uniform_transport (assembleEquiv slots rows)
theorem uniform_bucket_assemble_law
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) (rows : Nat → Nat) :
((BucketSampler.tapeLaw (rows (n + 1)) (FiniteDistribution.uniform (H slots))).product
(FiniteDistribution.uniform (ChildArrays rows slots))).pushforward
(fun z => WholeArraySampler.assemble slots rows
(BucketSampler.evaluate (rows (n + 1)) (id : H slots → H slots) z.1) z.2) =
FiniteDistribution.uniform (Arrays slots rows) := by
calc
_ = (((BucketSampler.tapeLaw (rows (n + 1))
(FiniteDistribution.uniform (H slots))).product
(FiniteDistribution.uniform (ChildArrays rows slots))).pushforward
(fun z =>
(BucketSampler.evaluate (rows (n + 1)) (id : H slots → H slots) z.1,
z.2))).pushforward
(fun z => WholeArraySampler.assemble slots rows z.1 z.2) :=
(FiniteDistribution.pushforward_comp _ _ _).symm
_ = ((FiniteDistribution.uniform (Fin (rows (n + 1)) → H slots)).product
(FiniteDistribution.uniform (ChildArrays rows slots))).pushforward
(fun z => WholeArraySampler.assemble slots rows z.1 z.2) := by
apply congrArg (fun μ : FiniteDistribution
((Fin (rows (n + 1)) → H slots) × ChildArrays rows slots) =>
μ.pushforward (fun z => WholeArraySampler.assemble slots rows z.1 z.2))
have h := FiniteDistribution.product_pushforward
(BucketSampler.tapeLaw (rows (n + 1)) (FiniteDistribution.uniform (H slots)))
(FiniteDistribution.uniform (ChildArrays rows slots))
(BucketSampler.evaluate (rows (n + 1)) (id : H slots → H slots))
(id : ChildArrays rows slots → ChildArrays rows slots)
simpa only [id_eq, FiniteDistribution.pushforward_id,
BucketUniform.uniform_evaluate_law] using h
_ = _ := uniform_assemble_law slots rows
private theorem uniform_pushforward_reindex {A B C : Type*}
[Fintype A] [Fintype B] [Fintype C] [Nonempty A] [Nonempty B]
(e : A ≃ B) (f : A → C) (g : B → C) (h : ∀ x, g (e x) = f x) :
(FiniteDistribution.uniform A).pushforward f =
(FiniteDistribution.uniform B).pushforward g := by
calc
_ = (FiniteDistribution.uniform A).pushforward (fun x => g (e x)) :=
congrArg (fun map : A → C => (FiniteDistribution.uniform A).pushforward map)
(funext (fun x => (h x).symm))
_ = ((FiniteDistribution.uniform A).pushforward e).pushforward g :=
(FiniteDistribution.pushforward_comp (FiniteDistribution.uniform A) e g).symm
_ = (FiniteDistribution.uniform B).pushforward g :=
congrArg (fun μ : FiniteDistribution B => μ.pushforward g)
((FiniteDistribution.transport_eq_pushforward
(FiniteDistribution.uniform A) e).symm.trans
(UniformConditioning.uniform_transport e))
private abbrev ReflRecord (rows : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) :=
Unit × ((BucketSampler.Direction (rows (n + 1)) → H slots) × ChildArrays rows slots)
private def reflRecordEquiv (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) :
OriginalWholeCut.Record rows repeats (.refl (n + 1)) slots ≃ ReflRecord rows slots :=
Equiv.refl _
private def renderRecord (rows : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(record : ReflRecord rows slots) : Arrays slots rows :=
WholeArraySampler.assemble slots rows
(BucketSampler.evaluate (rows (n + 1)) (id : H slots → H slots) record.2.1) record.2.2
private theorem renderRecord_equiv (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot)
(record : OriginalWholeCut.Record rows repeats (.refl (n + 1)) slots) :
renderRecord rows slots (reflRecordEquiv rows repeats slots record) =
OriginalWholeCut.reconstructRecord rows repeats (.refl (n + 1)) slots record := rfl
private theorem uniform_renderRecord (rows : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) :
(FiniteDistribution.uniform (ReflRecord rows slots)).pushforward (renderRecord rows slots) =
FiniteDistribution.uniform (Arrays slots rows) := by
have hdrop : (FiniteDistribution.uniform (ReflRecord rows slots)).pushforward Prod.snd =
(BucketSampler.tapeLaw (rows (n + 1)) (FiniteDistribution.uniform (H slots))).product
(FiniteDistribution.uniform (ChildArrays rows slots)) := by
rw [← WholeCutSampler.uniform_product, FiniteDistribution.product_pushforward_snd]
rw [BucketSampler.tapeLaw, UniformLinearImage.law_uniform, WholeCutSampler.uniform_product]
calc
_ = ((FiniteDistribution.uniform (ReflRecord rows slots)).pushforward Prod.snd).pushforward
(fun z => WholeArraySampler.assemble slots rows
(BucketSampler.evaluate (rows (n + 1)) (id : H slots → H slots) z.1) z.2) :=
(FiniteDistribution.pushforward_comp _ _ _).symm
_ = _ := by rw [hdrop]; exact uniform_bucket_assemble_law slots rows
theorem uniform_reconstructRecord_refl (rows repeats : Nat → Nat)
(slots : Slots branch (n + 1) → Fin t → MixedSupport.Slot) :
(FiniteDistribution.uniform
(OriginalWholeCut.Record rows repeats (.refl (n + 1)) slots)).pushforward
(OriginalWholeCut.reconstructRecord rows repeats (.refl (n + 1)) slots) =
FiniteDistribution.uniform (Arrays slots rows) :=
(uniform_pushforward_reindex
(A := OriginalWholeCut.Record rows repeats (.refl (n + 1)) slots)
(B := ReflRecord rows slots) (C := Arrays slots rows)
(reflRecordEquiv rows repeats slots)
(OriginalWholeCut.reconstructRecord rows repeats (.refl (n + 1)) slots)
(renderRecord rows slots) (renderRecord_equiv rows repeats slots)).trans
(uniform_renderRecord rows slots)
end
end PerfectCompleteness.OriginalUniformCutBase
end
end OAI