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Add lean source and binary files (part 46)
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import OAI.Combinatorics.LowSpaceSubsetSum.Compression.CompressionDictionary
import OAI.Combinatorics.LowSpaceSubsetSum.Streams.StreamWitness
namespace OAI
/-! # The fixed solution survives the compressed trial's bounded dictionary -/
namespace LowSpaceSubsetSum
theorem direct_complementary_residue (q z x y : ℤ) :
x % q = (z - y) % q ↔ (x + y) % q = z % q := by
change Int.ModEq q x (z - y) ↔ Int.ModEq q (x + y) z
constructor
· intro h
simpa only [sub_add_cancel] using h.add_right y
· intro h
simpa only [add_sub_cancel_right] using h.sub_right y
namespace CompressionSetup
variable {n : ℕ} (R : CompressionSetup n)
theorem leftPair_mem (e : Equiv.Perm (Fin n)) {x y : ℤ}
(hx : x ∈ R.groupList e 0) (hy : y ∈ R.groupList e 1) :
x + y ∈ R.leftWeights e := by
change x + y ∈ distinctSums R.weights (R.leftDomain e)
rw [R.leftDomain_eq_groups]
exact (distinctSums_union_mem_iff _ _ _ (R.left_groups_disjoint e) _).mpr
⟨x, (R.mem_groupList e 0 x).mp hx, y, (R.mem_groupList e 1 y).mp hy, rfl⟩
theorem leftSolution_pair (e : Equiv.Perm (Fin n)) :
∃ x ∈ R.groupList e 0, ∃ y ∈ R.groupList e 1, x + y = R.leftWeight e := by
have h := R.leftWeight_mem e
change R.leftWeight e ∈ distinctSums R.weights (R.leftDomain e) at h
rw [R.leftDomain_eq_groups] at h
obtain ⟨x, hx, y, hy, he⟩ :=
(distinctSums_union_mem_iff _ _ _ (R.left_groups_disjoint e) _).mp h
exact ⟨x, (R.mem_groupList e 0 x).mpr hx, y, (R.mem_groupList e 1 y).mpr hy, he⟩
theorem rightSolution_pair (e : Equiv.Perm (Fin n)) :
∃ x ∈ R.groupList e 2, ∃ y ∈ R.groupList e 3, x + y = R.rightWeight e := by
have h := R.rightWeight_mem e
change R.rightWeight e ∈ distinctSums R.weights (R.rightDomain e) at h
rw [R.rightDomain_eq_groups] at h
obtain ⟨x, hx, y, hy, he⟩ :=
(distinctSums_union_mem_iff _ _ _ (R.right_groups_disjoint e) _).mp h
exact ⟨x, (R.mem_groupList e 2 x).mpr hx, y, (R.mem_groupList e 3 y).mpr hy, he⟩
def solutionResidue (e : Equiv.Perm (Fin n)) (q : PrimeSpace n) : Fin q.val :=
normalizedResidue (primeRange_prime q.property).pos (R.leftWeight e)
theorem solutionResidue_val (e : Equiv.Perm (Fin n)) (q : PrimeSpace n) :
((R.solutionResidue e q).val : ℤ) = R.leftWeight e % (q.val : ℤ) :=
normalizedResidue_cast _ _
theorem finiteResidue_reduced (q : PrimeSpace n) (z : Fin q.val) :
(z.val : ℤ) % q.val = z.val :=
Int.emod_eq_of_lt (by omega) (by exact_mod_cast z.isLt)
def leftBucket (e : Equiv.Perm (Fin n)) (q : PrimeSpace n) (z : Fin q.val) : Finset ℤ :=
(R.leftWeights e).filter (fun w => w % (q.val : ℤ) = z.val)
theorem solutionBucket_fits (e : Equiv.Perm (Fin n)) (q : PrimeSpace n)
(hq : R.BucketFits e q) :
(R.leftBucket e q (R.solutionResidue e q)).card ≤ compressionDictionaryCapacity n := by
simpa only [leftBucket, solutionResidue_val, BucketFits, hashBucket, id_eq] using hq
def leftDictionary (e : Equiv.Perm (Fin n)) (q : PrimeSpace n) (z : Fin q.val) :
BinaryTrie.BuildResult :=
MatchFold.run (fun x => x % (q.val : ℤ)) (fun y => ((z.val : ℤ) - y) % q.val)
(BinaryTrie.callback (compressionDictionaryCapacity n)
(fun x y => WeightEncoding.weightKey R.input (x + y)))
(R.groupList e 0) (R.groupList e 1) ⟨.empty, false, 0⟩
theorem leftDictionary_fits (e : Equiv.Perm (Fin n)) (q : PrimeSpace n)
(hq : R.BucketFits e q) :
(R.leftDictionary e q (R.solutionResidue e q)).overflow = false ∧
BinaryTrie.contains (R.leftDictionary e q (R.solutionResidue e q)).tree
(WeightEncoding.weightKey R.input (R.leftWeight e)) = true := by
let z := R.solutionResidue e q
let U := (R.leftBucket e q z).image (WeightEncoding.weightKey R.input)
have hU : U.card ≤ compressionDictionaryCapacity n :=
Finset.card_image_le.trans (R.solutionBucket_fits e q hq)
have hkeys : ∀ x ∈ R.groupList e 0, ∀ y ∈ R.groupList e 1,
x % (q.val : ℤ) = ((z.val : ℤ) - y) % q.val →
WeightEncoding.weightKey R.input (x + y) ∈ U := by
intro x hx y hy he
apply Finset.mem_image.mpr
refine ⟨x + y, Finset.mem_filter.mpr ⟨R.leftPair_mem e hx hy, ?_⟩, rfl⟩
have hm := (direct_complementary_residue (q.val : ℤ) z.val x y).mp he
rwa [finiteResidue_reduced q z] at hm
have h := BinaryTrie.matchFold_fits (width := WeightEncoding.weightWidth R.input)
(fun x => x % (q.val : ℤ)) (fun y => ((z.val : ℤ) - y) % q.val)
(fun x y => WeightEncoding.weightKey R.input (x + y))
(R.groupList e 0) (R.groupList e 1) U
(fun key hk => by
obtain ⟨w, _, rfl⟩ := Finset.mem_image.mp hk
exact WeightEncoding.weightKey_length R.input w) hU hkeys
change (R.leftDictionary e q z).overflow = false ∧ _
refine ⟨h.1, ?_⟩
rw [← BinaryTrie.mem_keySet]
dsimp only [leftDictionary]
rw [h.2.1, List.mem_toFinset, BinaryTrie.mem_matchingKeys]
obtain ⟨x, hx, y, hy, he⟩ := R.leftSolution_pair e
refine ⟨x, hx, y, hy, ?_, ?_⟩
· apply (direct_complementary_residue (q.val : ℤ) z.val x y).mpr
rw [he, finiteResidue_reduced q z]
exact (R.solutionResidue_val e q).symm
· rw [he]
def DictionarySuccess (h : TrialHistory n) : Prop :=
R.Passing h.1 ∧
(R.leftDictionary h.1 h.2 (R.solutionResidue h.1 h.2)).overflow = false ∧
BinaryTrie.contains (R.leftDictionary h.1 h.2 (R.solutionResidue h.1 h.2)).tree
(WeightEncoding.weightKey R.input (R.leftWeight h.1)) = true
theorem dictionarySuccess_probability (hn : 168000000 ≤ n)
(hmean : (153 / 20000 : ℝ) * n ≤
meanDeficiency R.weights Finset.univ (compressionHalfSize n))
(hlog : Real.logb 2 (inputScale R.input) ≤ (n : ℝ) / 1000000000) :
(1 / 4 : ℝ) ≤ (R.trialLaw hn).probability R.DictionarySuccess := by
apply (R.successful_probability hn hmean hlog).trans
apply FiniteLaw.probability_mono
intro h hh
exact ⟨hh.1, R.leftDictionary_fits h.1 h.2 hh.2⟩
/-- The generated sorted readers may permute occurrences, but their exact
group-list membership suffices for the actual join to retain the solution. -/
theorem generated_left_dictionary {σ₀ σ₁ : Type*}
(e : Equiv.Perm (Fin n)) (q : PrimeSpace n) (hq : R.BucketFits e q)
(read₀ : σ₀ → Option (ℤ × σ₀)) (read₁ : σ₁ → Option (ℤ × σ₁))
(view₀ : σ₀ → List ℤ) (hread₀ : RowMerge.IsReader read₀ view₀)
(view₁ : σ₁ → List ℤ) (hread₁ : RowMerge.IsReader read₁ view₁)
(s₀ : σ₀) (s₁ : σ₁)
(hview₀ : ∀ x, x ∈ view₀ s₀ ↔ x ∈ R.groupList e 0)
(hview₁ : ∀ x, x ∈ view₁ s₁ ↔ x ∈ R.groupList e 1)
(B fuel₀ fuel₁ controlFuel : ℕ)
(hsort₀ : (view₀ s₀).Pairwise (fun x y => x % (q.val : ℤ) ≤ y % q.val))
(hsort₁ : (view₁ s₁).Pairwise (fun x y =>
(((R.solutionResidue e q).val : ℤ) - x) % q.val ≤
(((R.solutionResidue e q).val : ℤ) - y) % q.val))
(hcap₀ : (view₀ s₀).length ≤ fuel₀) (hcap₁ : (view₁ s₁).length ≤ fuel₁)
(hfuel : (view₀ s₀).length + (view₁ s₁).length < controlFuel) :
let z := R.solutionResidue e q
let out := (StreamJoin.run read₀ (fun x => x % (q.val : ℤ))
read₁ (fun y => ((z.val : ℤ) - y) % q.val)
(BinaryTrie.callback (compressionDictionaryCapacity n)
(fun x y => WeightEncoding.weightKey R.input (x + y)))
B fuel₀ fuel₁ controlFuel s₀ s₁ ⟨.empty, false, 0⟩).user
out.overflow = false ∧ BinaryTrie.contains out.tree
(WeightEncoding.weightKey R.input (R.leftWeight e)) = true := by
let z := R.solutionResidue e q
let U := (R.leftBucket e q z).image (WeightEncoding.weightKey R.input)
have hU : U.card ≤ compressionDictionaryCapacity n :=
Finset.card_image_le.trans (R.solutionBucket_fits e q hq)
have hkeys : ∀ x ∈ view₀ s₀, ∀ y ∈ view₁ s₁,
x % (q.val : ℤ) = ((z.val : ℤ) - y) % q.val →
WeightEncoding.weightKey R.input (x + y) ∈ U := by
intro x hx y hy he
apply Finset.mem_image.mpr
refine ⟨x + y, Finset.mem_filter.mpr ⟨R.leftPair_mem e
((hview₀ x).mp hx) ((hview₁ y).mp hy), ?_⟩, rfl⟩
have hm := (direct_complementary_residue (q.val : ℤ) z.val x y).mp he
rwa [finiteResidue_reduced q z] at hm
have h := BinaryTrie.join_fits (C := compressionDictionaryCapacity n)
(width := WeightEncoding.weightWidth R.input)
read₀ (fun x => x % (q.val : ℤ)) read₁ (fun y => ((z.val : ℤ) - y) % q.val)
(fun x y => WeightEncoding.weightKey R.input (x + y))
view₀ hread₀ view₁ hread₁ B fuel₀ fuel₁ controlFuel s₀ s₁ hsort₀ hsort₁ hcap₀ hcap₁ hfuel
U (fun key hk => by
obtain ⟨w, _, rfl⟩ := Finset.mem_image.mp hk
exact WeightEncoding.weightKey_length R.input w) hU hkeys
refine ⟨h.1, (h.2 _).mpr ?_⟩
obtain ⟨x, hx, y, hy, he⟩ := R.leftSolution_pair e
refine ⟨x, (hview₀ x).mpr hx, y, (hview₁ y).mpr hy, ?_, ?_⟩
· apply (direct_complementary_residue (q.val : ℤ) z.val x y).mpr
rw [he, finiteResidue_reduced q z]
exact (R.solutionResidue_val e q).symm
· rw [he]
/-- Once the left dictionary contains the fixed left weight, the actual
right readers find its complementary exact weight in the same residue pass. -/
theorem generated_right_hit {σ₂ σ₃ : Type*}
(e : Equiv.Perm (Fin n)) (q : PrimeSpace n) (tree : BinaryTrie.Tree)
(hleft : BinaryTrie.contains tree (WeightEncoding.weightKey R.input (R.leftWeight e)) = true)
(read₂ : σ₂ → Option (ℤ × σ₂)) (read₃ : σ₃ → Option (ℤ × σ₃))
(view₂ : σ₂ → List ℤ) (hread₂ : RowMerge.IsReader read₂ view₂)
(view₃ : σ₃ → List ℤ) (hread₃ : RowMerge.IsReader read₃ view₃)
(s₂ : σ₂) (s₃ : σ₃)
(hview₂ : ∀ x, x ∈ view₂ s₂ ↔ x ∈ R.groupList e 2)
(hview₃ : ∀ x, x ∈ view₃ s₃ ↔ x ∈ R.groupList e 3)
(B fuel₂ fuel₃ controlFuel : ℕ)
(hsort₂ : (view₂ s₂).Pairwise (fun x y => x % (q.val : ℤ) ≤ y % q.val))
(hsort₃ : (view₃ s₃).Pairwise (fun x y =>
((R.input.target : ℤ) - (R.solutionResidue e q).val - x) % q.val ≤
((R.input.target : ℤ) - (R.solutionResidue e q).val - y) % q.val))
(hcap₂ : (view₂ s₂).length ≤ fuel₂) (hcap₃ : (view₃ s₃).length ≤ fuel₃)
(hfuel : (view₂ s₂).length + (view₃ s₃).length < controlFuel) :
(StreamJoin.run read₂ (fun x => x % (q.val : ℤ)) read₃
(fun y => ((R.input.target : ℤ) - (R.solutionResidue e q).val - y) % q.val)
(StreamWitness.remember (fun x y => BinaryTrie.contains tree
(WeightEncoding.weightKey R.input ((R.input.target : ℤ) - (x + y)))))
B fuel₂ fuel₃ controlFuel s₂ s₃ false).user = true := by
apply (StreamWitness.run_iff read₂ (fun x => x % (q.val : ℤ)) read₃
(fun y => ((R.input.target : ℤ) - (R.solutionResidue e q).val - y) % q.val)
(fun x y => BinaryTrie.contains tree
(WeightEncoding.weightKey R.input ((R.input.target : ℤ) - (x + y))))
view₂ hread₂ view₃ hread₃ B fuel₂ fuel₃ controlFuel s₂ s₃
hsort₂ hsort₃ hcap₂ hcap₃ hfuel).mpr
obtain ⟨x, hx, y, hy, he⟩ := R.rightSolution_pair e
have hs := R.solution_split e
have hw : R.rightWeight e = (R.input.target : ℤ) - R.leftWeight e := by omega
have hmod : Int.ModEq (q.val : ℤ) (R.leftWeight e) (R.solutionResidue e q).val :=
normalizedResidue_eq_modEq (primeRange_prime q.property).pos _ _ rfl
have hr := (Int.ModEq.refl (R.input.target : ℤ)).sub hmod
rw [← hw] at hr
refine ⟨x, (hview₂ x).mpr hx, y, (hview₃ y).mpr hy, ?_, ?_⟩
· apply (direct_complementary_residue (q.val : ℤ)
((R.input.target : ℤ) - (R.solutionResidue e q).val) x y).mpr
rwa [he]
· rw [he, show (R.input.target : ℤ) - R.rightWeight e = R.leftWeight e by omega]
exact hleft
end CompressionSetup
end LowSpaceSubsetSum
end OAI