openAI-math-dataset / lean /OAI /Combinatorics /ContingencyTables /Counting /CompanionInitializedRestartLaw.lean
roseking's picture
Add lean source and binary files (part 41)
97c3405 verified
Raw History Blame Contribute Delete
8.31 kB
import OAI.Combinatorics.ContingencyTables.Counting.CompanionInitializedRestartSemantics
import OAI.Combinatorics.ContingencyTables.Counting.CompanionRestartNativeLaw
import OAI.Combinatorics.ContingencyTables.Machines.FiniteEncodedBind
import OAI.Combinatorics.ContingencyTables.Counting.CompanionRestartPadding
namespace OAI
/-! # Exact law of the complete executed initializer and restart prefix -/
namespace ContingencyTables.CompanionInitializedRestartProgram
open MatchingFPRAS CommonBasesFPRAS FirstSuccess FairBits FiniteObservableTransport
open CompanionFactorialApplication CompanionComputedInitial CompanionComputedProposal
open CompanionArithmeticProposal CompanionEvaluatedWeightProgram
open CompanionOracleDensity TwoLiftStates GridBoundary
open scoped BigOperators Classical
noncomputable section
variable {m n : ℕ}
def parameters (A : Instance (Fin m) (Fin n)) (H T N R L : ℕ)
(epsilon : TreeFraction.Fraction) : CountingPhaseParametersProgram.Input :=
([Fintype.card (Labels A),A.W,H,T,N,R,L],epsilon)
def model (A : Instance (Fin m) (Fin n)) (C K H T N R L j : ℕ)
(epsilon : TreeFraction.Fraction) (hK : 1 ≤ K) (hW : 100*A.d*K ≤ A.W)
(v : Grid (I := Fin (RootedCatalogGrid.freeCount A)) K)
(w : ℕ → LabelIndex A → LabelIndex A → TreeFraction.Fraction)
(bits : Fin (CompanionInitialDraw.initialBits A
(CompanionInitialDraw.precision A (CountingPhaseSchedule.initialPrecision H))+
CompanionRestartProgram.sumBits A C K j (parameters A H T N R L epsilon)) → Bool) :
PlainIndex (pairs : List (CompanionRationalUpdates.Pair A)) :=
let B := CompanionInitialDraw.precision A (CountingPhaseSchedule.initialPrecision H)
let widths := CompanionRestartProgram.sourceWidth A C K (parameters A H T N R L epsilon)
let split := splitWordEquiv (CompanionInitialDraw.initialBits A B)
(CompanionRestartProgram.sumBits A C K j (parameters A H T N R L epsilon)) bits
varyingWalk widths
(CompanionRestartProgram.sourceStep A C K (parameters A H T N R L epsilon) hK hW v w)
(CompanionInitialDraw.draw A B split.1) j (varyingWordEquiv widths j split.2)
/-- The actual list program has the complete finite-word law, including
every initialization bias, rejected return and fallback. -/
theorem output_padded_sameLaw (A : Instance (Fin m) (Fin n)) (C K H T N R L j padding : ℕ)
(hC : 0 < C) (hj : j ≤ rationalHeight A C) (hK : 1 ≤ K)
(hW : 100*A.d*K ≤ A.W) (hB : (K:ℝ)=CompanionOracleDensity.binWidth A C)
(epsilon : TreeFraction.Fraction)
(hxi : 0 < TreeFraction.val (CountingPhaseParametersProgram.noise (parameters A H T N R L epsilon)))
(z : View A → ℕ) (v : Grid (I := Fin (RootedCatalogGrid.freeCount A)) K)
(w : ℕ → LabelIndex A → LabelIndex A → TreeFraction.Fraction)
(estimates : Fin j → TreeFraction.Fraction)
(hdegree : ∀ i : Fin j,RootedOracleConfigProgram.rootDegree
(CompanionRestartStageProgram.oracleData A C K (i.val+1) (parameters A H T N R L epsilon) z v
(List.replicate (wordLength A (CompanionInitialDraw.precision A (CountingPhaseSchedule.initialPrecision H))+
(CompanionRestartProgram.sumBits A C K j (parameters A H T N R L epsilon)+padding)) false)) ≤
wordLength A (CompanionInitialDraw.precision A (CountingPhaseSchedule.initialPrecision H))+
(CompanionRestartProgram.sumBits A C K j (parameters A H T N R L epsilon)+padding))
(hdepth : ∀ i : Fin j,RootedOracleConfigProgram.depth
(CompanionRestartStageProgram.oracleData A C K (i.val+1) (parameters A H T N R L epsilon) z v
(List.replicate (wordLength A (CompanionInitialDraw.precision A (CountingPhaseSchedule.initialPrecision H))+
(CompanionRestartProgram.sumBits A C K j (parameters A H T N R L epsilon)+padding)) false)) ≤
wordLength A (CompanionInitialDraw.precision A (CountingPhaseSchedule.initialPrecision H))+
(CompanionRestartProgram.sumBits A C K j (parameters A H T N R L epsilon)+padding)) :
SameLaw (fun bits : Fin (wordLength A
(CompanionInitialDraw.precision A (CountingPhaseSchedule.initialPrecision H))+
(CompanionRestartProgram.sumBits A C K j (parameters A H T N R L epsilon)+padding)) → Bool =>
output (data A C K H T N R L j epsilon z v w estimates (List.ofFn bits)))
(fun bits => encodeSet (coordinateOrder A) (model A C K H T N R L j epsilon hK hW v w bits).val.val) := by
let B := CompanionInitialDraw.precision A (CountingPhaseSchedule.initialPrecision H)
let p := parameters A H T N R L epsilon
let n := CompanionRestartProgram.sumBits A C K j p
let reserve := List.replicate (wordLength A B+(n+padding)) false
let stageList := CompanionRestartProgram.stagesData A C K j p z v reserve w
let init := fun bits : Fin (wordLength A B) → Bool => CompanionRestartInitializer.output
(CompanionRestartInitializer.data A C K H T N R L epsilon z v,List.ofFn bits)
let realInit := CompanionInitialDraw.draw A B
let encode := fun S : PlainIndex (pairs : List (CompanionRationalUpdates.Pair A)) =>
encodeSet (coordinateOrder A) S.val.val
let run := fun code (bits : Fin (n+padding) → Bool) =>
CompanionRestartProgram.output ((stageList,code),List.ofFn bits)
let realRun := fun S (bits : Fin n → Bool) => encode (varyingWalk
(CompanionRestartProgram.sourceWidth A C K p)
(CompanionRestartProgram.sourceStep A C K p hK hW v w) S j
(varyingWordEquiv (CompanionRestartProgram.sourceWidth A C K p) j bits))
have hi : SameLaw init (fun bits => encode (realInit bits)) :=
CompanionRestartInitializer.output_sameLaw A C K H T N R L epsilon z v
have hs : ∀ S,SameLaw (run (encode S)) (realRun S) := by
intro S
have hn := CompanionRestartProgram.widthSum_data A C K j p z v reserve w S.val.val
have hh := CompanionRestartProgram.output_native_sameLaw A C K j hC hj hK hW hB p hxi z v reserve
(fun i => by simpa only [reserve,List.length_replicate] using hdegree i)
(fun i => by simpa only [reserve,List.length_replicate] using hdepth i) w S
exact restart_append_sameLaw (CompanionRestartProgram.baseData A C K j p z v reserve w S.val.val)
n hn (realRun S) hh padding
have hf := flat_encoded_bind (wordLength A B) (n+padding) (CompanionInitialDraw.initialBits A B) n
init realInit encode run realRun hi hs
intro phi
have h := hf phi
have he : (fun bits : Fin (wordLength A B+(n+padding)) → Bool =>
output (data A C K H T N R L j epsilon z v w estimates (List.ofFn bits)))=
(fun bits => run (init (splitWordEquiv (wordLength A B) (n+padding) bits).1)
(splitWordEquiv (wordLength A B) (n+padding) bits).2) := by
funext bits
exact output_split A C K H T N R L j (n+padding) epsilon z v w estimates bits
rw [he]
exact h
/-- When the supplied restart time is the computed paper schedule,
the reference experiment is precisely initializedStages. -/
theorem model_eq_initializedStages (A : Instance (Fin m) (Fin n)) (C K H N R L j : ℕ)
(epsilon : TreeFraction.Fraction) (hK : 1 ≤ K) (hW : 100*A.d*K ≤ A.W)
(v : Grid (I := Fin (RootedCatalogGrid.freeCount A)) K)
(w : ℕ → LabelIndex A → LabelIndex A → TreeFraction.Fraction)
(bits : Fin (RootedRestartWords.initialStageBits A C K H L
(CountingPhaseParametersProgram.precision
(parameters A H (CompanionTargetMixing.restartTime A H L) N R L epsilon))
R (CountingPhaseSchedule.initialPrecision H) j
(TreeFraction.val (CountingPhaseParametersProgram.noise
(parameters A H (CompanionTargetMixing.restartTime A H L) N R L epsilon)))) → Bool) :
model A C K H (CompanionTargetMixing.restartTime A H L) N R L j epsilon hK hW v w bits=
RootedRestartWords.initializedStages A (RootedCompletion.rowColumn A.T) C K H L
(CountingPhaseParametersProgram.precision
(parameters A H (CompanionTargetMixing.restartTime A H L) N R L epsilon))
R (CountingPhaseSchedule.initialPrecision H) j hK hW
(TreeFraction.val (CountingPhaseParametersProgram.noise
(parameters A H (CompanionTargetMixing.restartTime A H L) N R L epsilon)))
(RootedCatalogGrid.gridEquiv A K v) (fun i => sourceWeights A (w i)) bits := rfl
end
end ContingencyTables.CompanionInitializedRestartProgram
end OAI