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Add lean source and binary files (part 46)
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import OAI.Combinatorics.LowSpaceSubsetSum.Representation.RepresentationPrimeTrial
import OAI.Combinatorics.LowSpaceSubsetSum.Representation.RepresentationSeparatorParameters
import OAI.Combinatorics.LowSpaceSubsetSum.Representation.RepresentationBucketProgram
namespace OAI
/-! # The actual designated bucket accepts a covered surviving representation -/
noncomputable section
namespace LowSpaceSubsetSum
private theorem representation_dictionary_pair_size (n : ℕ) (hn : 10 ≤ n) :
compressionDictionaryCapacity n + 1 + (compressionDictionaryCapacity n + 1) ≤ 2 ^ n := by
have hC : 0 < compressionDictionaryCapacity n := by
unfold compressionDictionaryCapacity
positivity
have hk : 199 * n / 1000 + 2 ≤ n := by omega
have hp : 4 * compressionDictionaryCapacity n ≤ 2 ^ n := by
calc
_ = 2 ^ (199 * n / 1000 + 2) := by
rw [pow_add]
unfold compressionDictionaryCapacity
ring
_ ≤ _ := Nat.pow_le_pow_right (by decide) hk
omega
namespace RepresentationBucketData
/-- Checker completeness over opaque arrays. The stream implementation is
not reduced while applying the separator's fixed-pair theorem. -/
theorem check_finds_fixed_pair {n g : ℕ} (D : RepresentationBucketData n g)
(families : Fin 4 → Array (Finset (Fin g))) (left right : Array (Entry (Fin n)))
(hsize : left.toList.length + right.toList.length ≤ 2 ^ n)
(x y : Entry (Fin n)) (hx : x ∈ left.toList) (hy : y ∈ right.toList)
(hw : x.value + y.value = D.target)
(hc : SeparatorCheck.Covered families (D.coordinates.encodeEntry x)
(D.coordinates.encodeEntry y)) : D.check families left right = true := by
exact D.coordinates.finds_fixed_pair families D.target left.toList right.toList
hsize x y hx hy hw hc
/-- Generic prefix completion keeps the implementation opaque while the
application supplies its actual chosen records and capacity bounds. -/
theorem run_complete_of_pair {n g : ℕ} (D : RepresentationBucketData n g)
(B : ℕ) (families : Fin 4 → Array (Finset (Fin g)))
(domain : Finset (Fin n)) (x y : Entry (Fin n))
(hleft : (D.left.collect B).state.user.keys.overflow = false)
(hx : x ∈ (D.left.entries B).toList)
(hfull : ({ D.right with maskRestriction :=
MaskRestriction.empty.follow D.topOrder y.mask }.collect B).state.user.keys.overflow = false)
(hy : ∀ P, P.Compatible domain y.mask →
({ D.right with maskRestriction := P }.collect B).state.user.keys.overflow = false →
y ∈ ({ D.right with maskRestriction := P }.entries B).toList)
(hsize : ∀ P, (D.left.entries B).toList.length +
({ D.right with maskRestriction := P }.entries B).toList.length ≤ 2 ^ n)
(hw : x.value + y.value = D.target)
(hcovered : SeparatorCheck.Covered families (D.coordinates.encodeEntry x)
(D.coordinates.encodeEntry y)) : D.run B families = true := by
have hnonempty : (D.left.collect B).state.user.records.isEmpty = false := by
apply Array.isEmpty_eq_false_iff_exists_mem.mpr
exact ⟨x, by simpa only [RepresentationParentData.entries, Array.mem_toList_iff] using hx⟩
let callback : Array (Entry (Fin n)) → Bool := D.check families (D.left.entries B)
have hfind (P : MaskRestriction n) (hcompat : P.Compatible domain y.mask)
(hcomplete : ({ D.right with maskRestriction := P }.collect B).state.user.keys.overflow = false) :
callback ({ D.right with maskRestriction := P }.entries B) = true := by
have hs := hsize P
have hyy := hy P hcompat hcomplete
dsimp only [callback]
generalize hL : D.left.entries B = left at hx hs ⊢
generalize hR : ({ D.right with maskRestriction := P }.entries B) = right at hyy hs ⊢
exact D.check_finds_fixed_pair families left right hs x y hx hyy hw hcovered
have hsearch := D.right.searchRight_complete B callback domain y.mask hfind
D.topOrder MaskRestriction.empty (MaskRestriction.empty_compatible _ _) hfull
simpa only [run, hleft, hnonempty, Bool.false_eq_true, ite_false,
RepresentationParentData.entries, callback] using hsearch
end RepresentationBucketData
namespace RepresentationSetup
variable {n : ℕ} (R : RepresentationSetup n)
/-- This is one bucket visited by the real residue loop, with the designated
normalized residue used only to name that iteration in the analysis. -/
def chosenBucketData (h : R.PrimeHistory) (r : R.Residues h.2) (hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(q : ℕ) (hP : 0 < (prefixModulus h.2.val 0 : ℤ) * q) :
RepresentationBucketData n (2 * blockHalf n 0) where
left := R.chosenParentData h r hn hlog 0 ((prefixModulus h.2.val 0 : ℤ) * q) hP
(compressionDictionaryCapacity n) MaskRestriction.empty
right := R.chosenParentData h r hn hlog 1 ((prefixModulus h.2.val 0 : ℤ) * q) hP
(compressionDictionaryCapacity n) MaskRestriction.empty
coordinates := R.topCoordinates h.1.1.1 h.1.2
topOrder := (R.orderedMixers h.1.1.1 0).sort (· ≤ ·)
theorem chosenBucketData_topOrder (h : R.PrimeHistory) (r : R.Residues h.2)
(hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(q : ℕ) (hP : 0 < (prefixModulus h.2.val 0 : ℤ) * q) :
(R.chosenBucketData h r hn hlog q hP).topOrder =
(R.orderedMixers h.1.1.1 0).sort (· ≤ ·) := rfl
theorem chosenBucketData_right_restrict (h : R.PrimeHistory) (r : R.Residues h.2)
(hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(q : ℕ) (hP : 0 < (prefixModulus h.2.val 0 : ℤ) * q) (P : MaskRestriction n) :
{ (R.chosenBucketData h r hn hlog q hP).right with maskRestriction := P } =
R.chosenParentData h r hn hlog 1 ((prefixModulus h.2.val 0 : ℤ) * q) hP
(compressionDictionaryCapacity n) P := rfl
/-- The left collector and right prefix recursion both reach the covered
chosen pair. Early completion of a right prefix is sufficient. -/
theorem chosenBucket_accepts (h : R.PrimeHistory) (r : R.Residues h.2)
(hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(hr : R.ResidueSuccess (R.actualOffsets (R.allocatedChildAssignment hn hlog)) h r)
(q : ℕ) (hP : 0 < (prefixModulus h.2.val 0 : ℤ) * q) (B : ℕ)
(families : Fin 4 → Array (Finset (Fin (2 * blockHalf n 0))))
(hleft : (R.chosenParentBucket h r hn hlog 0 ((prefixModulus h.2.val 0 : ℤ) * q)).card ≤
compressionDictionaryCapacity n)
(hright : ((R.chosenParentBucket h r hn hlog 1 ((prefixModulus h.2.val 0 : ℤ) * q)).filter
(fun e => e.mask = (R.chosenEntry h r hn hlog 1).mask)).card ≤
compressionDictionaryCapacity n)
(hcovered : SeparatorCheck.Covered families
((R.topCoordinates h.1.1.1 h.1.2).encodeEntry (R.chosenEntry h r hn hlog 0))
((R.topCoordinates h.1.1.1 h.1.2).encodeEntry (R.chosenEntry h r hn hlog 1))) :
(R.chosenBucketData h r hn hlog q hP).run B families = true := by
let D := R.chosenBucketData h r hn hlog q hP
let x := R.chosenEntry h r hn hlog 0
let y := R.chosenEntry h r hn hlog 1
have hleftFacts := R.chosenEntry_collected h r hn hlog hr 0
((prefixModulus h.2.val 0 : ℤ) * q) hP (compressionDictionaryCapacity n) B
MaskRestriction.empty (MaskRestriction.empty_compatible _ _) hleft
apply D.run_complete_of_pair B families (R.orderedMixers h.1.1.1 0) x y
hleftFacts.1 hleftFacts.2
· have hfull := R.chosenRight_full_follow_fits h r hn hlog hr q hP B
((R.orderedMixers h.1.1.1 0).sort (· ≤ ·))
(fun i hi => (Finset.mem_sort (· ≤ ·)).mpr hi) hright
dsimp only [D, y]
rw [R.chosenBucketData_topOrder, R.chosenBucketData_right_restrict]
exact hfull
· intro P hcompat hcomplete
dsimp only [D] at hcomplete ⊢
simp only [R.chosenBucketData_right_restrict h r hn hlog q hP P] at hcomplete ⊢
exact R.chosenEntry_mem_completed h r hn hlog hr 1
((prefixModulus h.2.val 0 : ℤ) * q) hP B P hcompat hcomplete
· intro P
simp only [Array.length_toList]
apply (Nat.add_le_add (D.left.storage B).1
({ D.right with maskRestriction := P }.storage B).1).trans
exact representation_dictionary_pair_size n (by omega)
· exact (R.chosenEntries_match h r hn hlog hr).1
· exact hcovered
/-- Every chosen exact key has the actual local cardinalities used by the
rounded separator parameter constructor. -/
theorem chosenEntry_separator_count (h : R.PrimeHistory) (r : R.Residues h.2)
(hn : 10000 ≤ n)
(hlog : Real.logb 2 ((mixerSize n : ℝ) + 1) + 1 ≤ (n : ℝ) / 1000)
(hr : R.ResidueSuccess (R.actualOffsets (R.allocatedChildAssignment hn hlog)) h r)
(j : Fin 2) (i : Fin 4) :
(SeparatorCheck.localMask i ((R.topCoordinates h.1.1.1 h.1.2).encodeEntry
(R.chosenEntry h r hn hlog j)).mask).card =
if j = 0 then (separatorParameters h.1.1.2 (by omega)).c i
else (2 * blockHalf n 0) / 2 - (separatorParameters h.1.1.2 (by omega)).c i := by
have hc := R.rawEntry_local_count h.1.1.1 h.1.1.2 h.1.2
(R.allocatedBackground h.1.1.1 h.1.1.2 hn hlog) j (R.signedWeights h.1.1.1)
(R.chosenEntry h r hn hlog j)
(R.chosenLowEntries_subset h r hn hlog j (R.chosenEntry_lowEntries h r hn hlog hr j)) i
simpa [separatorParameters, SeparatorParameters.rounded] using hc
end RepresentationSetup
end LowSpaceSubsetSum
end
end OAI