openAI-math-dataset / lean /OAI /Combinatorics /LowSpaceSubsetSum /Representation /RepresentationExtraPreparation.lean
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Add lean source and binary files (part 46)
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import OAI.Combinatorics.LowSpaceSubsetSum.Representation.RepresentationResiduePreparation
import OAI.Combinatorics.LowSpaceSubsetSum.Representation.RepresentationExtraDraw
namespace OAI
/-! # The complete stored representation prefix through the extra prime -/
noncomputable section
namespace LowSpaceSubsetSum.RepresentationExtraPreparation
variable {n : ℕ}
structure Data (n : ℕ) where
residues : RepresentationResiduePreparation.Data n
q : ℕ
theorem width_ideal (I : Instance n) (hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(s : (canonicalRepresentationData I).zeroSetup.trialHistoryCoupling.Seed)
(data : RepresentationResiduePreparation.Data n)
(h : (RepresentationResiduePreparation.run I hn hlog s).1 = some data) :
data.primes.stored.stored.layout.parameters.widths[3] =
(canonicalRepresentationData I).zeroSetup.extraPrimeParameter
(((canonicalRepresentationData I).zeroSetup.trialHistoryCoupling.ideal s).1.1.1.1) := by
obtain ⟨_, _, hp, _⟩ := RepresentationResiduePreparation.source I hn hlog s data h
obtain ⟨_, _, hs, _, _⟩ := RepresentationPrimePreparation.source I hn hlog s.1 data.primes hp
exact RepresentationPrimePreparation.widths_ideal I hn hlog s.1.1 data.primes.stored hs 3
def run (I : Instance n) (hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(s : ((canonicalRepresentationData I).zeroSetup.extraHistoryCoupling (by omega)).Seed) :
Option (Data n) × ℕ :=
let prepared := RepresentationResiduePreparation.run I hn hlog s.1
match h : prepared.1 with
| none => (none, prepared.2 + 1)
| some data =>
let out := RepresentationExtraDraw.draw (canonicalRepresentationData I).zeroSetup
(((canonicalRepresentationData I).zeroSetup.trialHistoryCoupling.ideal s.1).1.1.1.1)
(by omega) data.primes.stored.stored.layout.parameters.widths[3]
(width_ideal I hn hlog s.1 data h) s.2
(out.1.map (fun q => ⟨data, q⟩), prepared.2 + out.2 + 1)
theorem work (I : Instance n) (hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(s : ((canonicalRepresentationData I).zeroSetup.extraHistoryCoupling (by omega)).Seed) :
(run I hn hlog s).2 ≤ (RepresentationResiduePreparation.run I hn hlog s.1).2 +
n ^ 3 + SamplerExecution.primeTestBudget n + 2 := by
simp only [run]
split
· dsimp only
omega
next data h =>
have hw := RepresentationExtraDraw.work (canonicalRepresentationData I).zeroSetup
(((canonicalRepresentationData I).zeroSetup.trialHistoryCoupling.ideal s.1).1.1.1.1)
(by omega) data.primes.stored.stored.layout.parameters.widths[3]
(width_ideal I hn hlog s.1 data h) s.2
change _ + _ + 1 ≤ _
omega
theorem complete (I : Instance n) (hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(s : ((canonicalRepresentationData I).zeroSetup.extraHistoryCoupling (by omega)).Seed)
(history : (canonicalRepresentationData I).zeroSetup.ExtraTrialHistory)
(h : ((canonicalRepresentationData I).zeroSetup.extraHistoryCoupling (by omega)).bounded s = some history) :
∃ data, (run I hn hlog s).1 = some data ∧ data.q = history.2.val := by
let R := (canonicalRepresentationData I).zeroSetup
have hp : R.trialHistoryCoupling.bounded s.1 ≠ none := by
intro hf
dsimp only [R] at hf
simp only [RepresentationSetup.extraHistoryCoupling, SamplerCoupling.bind, hf,
↓reduceIte, reduceCtorEq] at h
have hb : R.trialHistoryCoupling.bounded s.1 = some (R.trialHistoryCoupling.ideal s.1) :=
(R.trialHistoryCoupling.agrees s.1).resolve_left hp
dsimp only [R] at hb
simp only [RepresentationSetup.extraHistoryCoupling, SamplerCoupling.bind, hb,
reduceCtorEq, ↓reduceIte] at h
obtain ⟨q, hq, he⟩ := Option.map_eq_some_iff.mp h
cases he
obtain ⟨data, hd, _⟩ := RepresentationResiduePreparation.complete I hn hlog s.1
(R.trialHistoryCoupling.ideal s.1) hb
have hv := RepresentationExtraDraw.value R (R.trialHistoryCoupling.ideal s.1).1.1.1.1
(by omega) data.primes.stored.stored.layout.parameters.widths[3]
(width_ideal I hn hlog s.1 data hd) s.2
rw [hq] at hv
refine ⟨⟨data, q.val⟩, ?_, rfl⟩
unfold run
dsimp only
split
next hf =>
rw [hd] at hf
contradiction
next data' hd' =>
have he : data' = data := Option.some.inj (hd'.symm.trans hd)
subst data'
dsimp only [R] at hv
simpa only [Option.map_some] using
congrArg (Option.map (fun q => (⟨data, q⟩ : Data n))) hv
theorem source (I : Instance n) (hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(s : ((canonicalRepresentationData I).zeroSetup.extraHistoryCoupling (by omega)).Seed)
(data : Data n) (h : (run I hn hlog s).1 = some data) :
∃ history : (canonicalRepresentationData I).zeroSetup.ExtraTrialHistory,
((canonicalRepresentationData I).zeroSetup.extraHistoryCoupling (by omega)).bounded s = some history ∧
(RepresentationResiduePreparation.run I hn hlog s.1).1 = some data.residues ∧
data.q = history.2.val := by
unfold run at h
dsimp only at h
split at h
· contradiction
next residues hr =>
obtain ⟨q, hq, hd⟩ := Option.map_eq_some_iff.mp h
cases hd
have hv := RepresentationExtraDraw.value (canonicalRepresentationData I).zeroSetup
(((canonicalRepresentationData I).zeroSetup.trialHistoryCoupling.ideal s.1).1.1.1.1)
(by omega) residues.primes.stored.stored.layout.parameters.widths[3]
(width_ideal I hn hlog s.1 residues hr) s.2
obtain ⟨p, hp, he⟩ := Option.map_eq_some_iff.mp (hv.symm.trans hq)
obtain ⟨history, hh, _, _⟩ := RepresentationResiduePreparation.source I hn hlog s.1 residues hr
have hi := (canonicalRepresentationData I).zeroSetup.trialHistoryExecution.ideal_eq_of_some
s.1 history (((canonicalRepresentationData I).zeroSetup.trialHistoryExecution.value_eq s.1).trans hh)
have hb : (canonicalRepresentationData I).zeroSetup.trialHistoryCoupling.bounded s.1 =
some ((canonicalRepresentationData I).zeroSetup.trialHistoryCoupling.ideal s.1) := by
rw [hi]
exact hh
refine ⟨⟨(canonicalRepresentationData I).zeroSetup.trialHistoryCoupling.ideal s.1, p⟩,
?_, hr, he.symm⟩
simp only [RepresentationSetup.extraHistoryCoupling, SamplerCoupling.bind, hb,
reduceCtorEq, ↓reduceIte, hp, Option.map_some]
end LowSpaceSubsetSum.RepresentationExtraPreparation
end
end OAI