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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Foundations.CanonicalPartialTable
import OAI.Computability.PerfectCompleteness.Machines.CanonicalCoarseningEncoding
import OAI.Computability.PerfectCompleteness.Machines.MetadataFreeTapeLemmas
namespace OAI
namespace PerfectCompleteness.FixedQueryCodec
open HierarchicalArrays (Nodes Block)
open MixedSupport
open scoped Classical
noncomputable section
abbrev LeftOutput (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) :=
HierarchicalArrays.Output branch n rows
def leftCount (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) : Nat :=
Fintype.card (LeftOutput branch n rows)
def leftEquiv (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) :
LeftOutput branch n rows ≃ Fin (leftCount branch n rows) :=
MetadataFreeSampler.outputEquiv branch n rows
def leftEncode (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) :
LeftOutput branch n rows → Fin (leftCount branch n rows) :=
leftEquiv branch n rows
theorem leftEncode_injective (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) :
Function.Injective (leftEncode branch n rows) :=
(leftEquiv branch n rows).injective
abbrev TestIndex (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) :=
Σ node : Nodes branch n, BucketSampler.Direction (rows (Nodes.height node))
instance testIndexFintype (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) :
Fintype (TestIndex branch n rows) := by
unfold TestIndex
infer_instance
variable {branch : Nat → Nat} {n t v m : Nat} {rows repeats : Nat → Nat}
abbrev RightOutput (θ : TestIndex branch n rows) : Type :=
DirectionQuotient.Space θ.2.val ×
(BlockQuotient.OtherBlocks (fun node : Nodes branch n => Block rows node) θ.1 × PUnit.{1})
instance rightOutputFintype (θ : TestIndex branch n rows) : Fintype (RightOutput θ) :=
Fintype.ofFinite _
def project (θ : TestIndex branch n rows) : LeftOutput branch n rows → RightOutput θ :=
BlockQuotient.projectBlock (I := Nodes branch n)
(V := fun node : Nodes branch n => Block rows node) (B := PUnit.{1}) θ.1 θ.2.val
abbrev TaggedRight (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) : Type :=
Σ θ : TestIndex branch n rows, RightOutput θ
instance taggedRightFintype (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) :
Fintype (TaggedRight branch n rows) := by
letI : (θ : TestIndex branch n rows) → Fintype (RightOutput θ) :=
fun θ => rightOutputFintype θ
unfold TaggedRight
infer_instance
def rightCount (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) : Nat :=
Fintype.card (TaggedRight branch n rows)
def rightEquiv (branch : Nat → Nat) (n : Nat) (rows : Nat → Nat) :
TaggedRight branch n rows ≃ Fin (rightCount branch n rows) :=
Fintype.equivFin _
def rightEncode (θ : TestIndex branch n rows) :
RightOutput θ → Fin (rightCount branch n rows) :=
fun z => rightEquiv branch n rows ⟨θ, z⟩
theorem rightEncode_injective (θ : TestIndex branch n rows) :
Function.Injective (rightEncode θ) :=
(rightEquiv branch n rows).injective.comp (sigma_mk_injective (i := θ))
def outputMap (θ : TestIndex branch n rows) :
Fin (leftCount branch n rows) → Fin (rightCount branch n rows) :=
fun a => rightEncode θ (project θ ((leftEquiv branch n rows).symm a))
@[simp] theorem outputMap_leftEncode (θ : TestIndex branch n rows)
(y : LeftOutput branch n rows) :
outputMap θ (leftEncode branch n rows y) = rightEncode θ (project θ y) := by
change rightEncode θ (project θ
((leftEquiv branch n rows).symm (leftEquiv branch n rows y))) = _
rw [(leftEquiv branch n rows).symm_apply_apply]
def decodedFiberEquiv (θ : TestIndex branch n rows) (z : RightOutput θ) :
{a : Fin (leftCount branch n rows) //
project θ ((leftEquiv branch n rows).symm a) = z} ≃
{y : LeftOutput branch n rows // project θ y = z} :=
Equiv.subtypeEquivOfSubtype (p := fun y : LeftOutput branch n rows => project θ y = z)
(leftEquiv branch n rows).symm
theorem outputMap_fiber_le_two (θ : TestIndex branch n rows)
(b : Fin (rightCount branch n rows)) :
Nat.card {a : Fin (leftCount branch n rows) // outputMap θ a = b} ≤ 2 := by
have hsmall : ∀ z : RightOutput θ,
Nat.card {a : Fin (leftCount branch n rows) //
project θ ((leftEquiv branch n rows).symm a) = z} ≤ 2 := by
intro z
have hc := (Nat.card_congr (decodedFiberEquiv θ z)).trans
(BlockQuotient.card_projectBlock_fiber (I := Nodes branch n)
(V := fun node : Nodes branch n => Block rows node) (B := PUnit.{1})
θ.1 θ.2.val θ.2.property z)
exact hc.le
by_cases hb : ∃ z : RightOutput θ, rightEncode θ z = b
· obtain ⟨z, rfl⟩ := hb
let e :
{a : Fin (leftCount branch n rows) // outputMap θ a = rightEncode θ z} ≃
{a : Fin (leftCount branch n rows) //
project θ ((leftEquiv branch n rows).symm a) = z} :=
Equiv.subtypeEquivRight (fun a => by
change (rightEncode θ (project θ ((leftEquiv branch n rows).symm a)) =
rightEncode θ z) ↔ _
exact ⟨fun h => (rightEncode_injective θ) h,
fun h => congrArg (rightEncode θ) h⟩)
exact (Nat.card_congr e).le.trans (hsmall z)
· let : IsEmpty {a : Fin (leftCount branch n rows) // outputMap θ a = b} :=
⟨fun a => hb
⟨project θ ((leftEquiv branch n rows).symm a.val), a.property⟩⟩
rw [Nat.card_of_isEmpty]
exact Nat.zero_le 2
section Keys
variable {k : Nat}
theorem left_key (side : CanonicalKeys.Side) (slots : Fin k → Slot)
(f : Assignment slots → LeftOutput branch n rows) :
CanonicalKeys.key side slots (leftEncode branch n rows ∘ f) =
CanonicalKeys.key side slots f :=
CanonicalCoarseningEncoding.key_fine side slots f
(leftEncode branch n rows) (leftEncode_injective branch n rows)
theorem right_key (side : CanonicalKeys.Side) (slots : Fin k → Slot)
(f : Assignment slots → LeftOutput branch n rows) (θ : TestIndex branch n rows) :
CanonicalKeys.key side slots (outputMap θ ∘ (leftEncode branch n rows ∘ f)) =
CanonicalKeys.key side slots (project θ ∘ f) :=
CanonicalCoarseningEncoding.key_coarse side slots f (project θ)
(leftEncode branch n rows) (rightEncode θ) (outputMap θ)
(rightEncode_injective θ) (outputMap_leftEncode θ)
theorem right_kernel (slots : Fin k → Slot)
(f : Assignment slots → LeftOutput branch n rows) (θ : TestIndex branch n rows) :
∀ x x', (project θ ∘ f) x = (project θ ∘ f) x' ↔
(outputMap θ ∘ (leftEncode branch n rows ∘ f)) x =
(outputMap θ ∘ (leftEncode branch n rows ∘ f)) x' :=
CanonicalCoarseningEncoding.coarseKernel slots f (project θ)
(leftEncode branch n rows) (rightEncode θ) (outputMap θ)
(rightEncode_injective θ) (outputMap_leftEncode θ)
end Keys
def leftTable {slots : RecursiveSpaces.Slots branch n → Fin t → Slot}
(arrays : HierarchicalArrays.Arrays slots rows) :
Assignment (TreeCanonical.numberedSlots slots) → Fin (leftCount branch n rows) :=
leftEncode branch n rows ∘
TreeCanonical.numberedFunction slots (HierarchicalArrays.fullJoint arrays)
theorem leftTable_key (side : CanonicalKeys.Side)
{slots : RecursiveSpaces.Slots branch n → Fin t → Slot}
(arrays : HierarchicalArrays.Arrays slots rows) :
CanonicalKeys.key side (TreeCanonical.numberedSlots slots) (leftTable arrays) =
TreeCanonical.key side slots (HierarchicalArrays.fullJoint arrays) :=
left_key side (TreeCanonical.numberedSlots slots)
(TreeCanonical.numberedFunction slots (HierarchicalArrays.fullJoint arrays))
theorem rightTable_key (side : CanonicalKeys.Side)
{slots : RecursiveSpaces.Slots branch n → Fin t → Slot}
(arrays : HierarchicalArrays.Arrays slots rows) (θ : TestIndex branch n rows) :
CanonicalKeys.key side (TreeCanonical.numberedSlots slots) (outputMap θ ∘ leftTable arrays) =
TreeCanonical.key side slots (project θ ∘ HierarchicalArrays.fullJoint arrays) :=
right_key side (TreeCanonical.numberedSlots slots)
(TreeCanonical.numberedFunction slots (HierarchicalArrays.fullJoint arrays)) θ
def testIndex (data : MetadataFreeTape.Input branch n t rows repeats) :
TestIndex branch n rows :=
⟨GeometricPath.nodeAtLevel data.2.1 data.2.2.2.1, data.2.2.2.2⟩
def rawTestIndex (clauses : Fin m → SourceClause.NormalizedClause v)
(e : PreliminarySampler.Raw clauses branch n t rows repeats) : TestIndex branch n rows :=
⟨GeometricPath.nodeAtLevel e.1.2 e.2.2.1, e.2.2.2⟩
@[simp] theorem testIndex_encodeRaw (clauses : Fin m → SourceClause.NormalizedClause v)
(e : PreliminarySampler.Raw clauses branch n t rows repeats) :
testIndex (MetadataFreeTape.encodeRaw clauses rows repeats e) = rawTestIndex clauses e := rfl
def withProjection {a k l : Nat} (fine : CanonicalKeyShape.Input a k)
(p : Fin k → Fin l) : CanonicalPartialTable.Input a k l :=
⟨fine.1, fine.2, p⟩
def partialInput (data : MetadataFreeTape.Input branch n t rows repeats) :
CanonicalPartialTable.Input (TreeCanonical.locationCount branch n t)
(leftCount branch n rows) (rightCount branch n rows) :=
withProjection (MetadataFreeTape.keyInput data) (outputMap (testIndex data))
theorem partialInput_encodeRaw (clauses : Fin m → SourceClause.NormalizedClause v)
(e : PreliminarySampler.Raw clauses branch n t rows repeats) :
partialInput (MetadataFreeTape.encodeRaw clauses rows repeats e) =
CanonicalPartialTable.input
(TreeCanonical.numberedSlots (MetadataFreeSampler.sourceSlots clauses e.1.1))
(leftTable (WholeArraySampler.evaluate rows repeats (GeometricPath.leafPath e.1.2)
(MetadataFreeSampler.sourceSlots clauses e.1.1) e.2.1))
(outputMap (rawTestIndex clauses e)) := by
unfold partialInput
rw [MetadataFreeTape.keyInput_encodeRaw, testIndex_encodeRaw]
rfl
def rightInputOfPartial {a k l : Nat} (data : CanonicalPartialTable.Input a k l) :
CanonicalKeyShape.Input a l :=
⟨data.1, data.2.2 ∘ data.2.1⟩
def rightKeyInput (data : MetadataFreeTape.Input branch n t rows repeats) :
CanonicalKeyShape.Input (TreeCanonical.locationCount branch n t)
(rightCount branch n rows) :=
rightInputOfPartial (partialInput data)
theorem rightKeyInput_encodeRaw (clauses : Fin m → SourceClause.NormalizedClause v)
(e : PreliminarySampler.Raw clauses branch n t rows repeats) :
rightKeyInput (MetadataFreeTape.encodeRaw clauses rows repeats e) =
CanonicalKeyShape.input
(TreeCanonical.numberedSlots (MetadataFreeSampler.sourceSlots clauses e.1.1))
(outputMap (rawTestIndex clauses e) ∘
leftTable (WholeArraySampler.evaluate rows repeats (GeometricPath.leafPath e.1.2)
(MetadataFreeSampler.sourceSlots clauses e.1.1) e.2.1)) := by
rw [rightKeyInput, partialInput_encodeRaw]
rfl
theorem partialInput_admissible {q : Nat} (hq : 0 < q)
(large : CanonicalKeyEncoding.partitionWidth (TreeCanonical.locationCount branch n t) ≤ q)
(data : MetadataFreeTape.Input branch n t rows repeats) :
LocalCompletionFamily.Admissible
(CanonicalPartialTable.lookup hq large (partialInput data)) :=
CanonicalPartialTable.admissible_of_output_fibers hq large (partialInput data)
(outputMap_fiber_le_two (testIndex data))
end
end PerfectCompleteness.FixedQueryCodec
end OAI