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import OAI.Combinatorics.LowSpaceSubsetSum.Word.WordMeasuredBounds
import OAI.Combinatorics.LowSpaceSubsetSum.Word.WordInputDescriptor
import OAI.Combinatorics.LowSpaceSubsetSum.Storage.FallbackCells
import OAI.Combinatorics.LowSpaceSubsetSum.Word.WordAddressBounds
namespace OAI
/-! # One input-only algorithm with counted preprocessing and fallback
Finite word tables represent fresh independent draws. Only the entries read
by the sequential generators are consumed; reused draws are in their counted
retained candidate buffers. The input descriptor is computed before the guard.
-/
noncomputable section
namespace LowSpaceSubsetSum.WordFinalDecision
variable {n : ℕ}
abbrev Words (I : Instance n) := Fin (inputScale I^120) → WordDecisionRound.Words I
def run (T : DecisionThreshold) (I : Instance n) (words : Words I) : (Bool × ℕ) × ℕ :=
let d := WordInputDescriptor.run T.value I
let out := if h : d.guard = true then
WordMeasuredDecision.repeated I
(T.large.trans (of_decide_eq_true ((WordInputDescriptor.run_guard T.value I).symm.trans h)).1)
(mainGuard_log (by unfold inputScale; omega)
((WordInputDescriptor.run_guard T.value I).symm.trans h)) words
else FallbackCells.decision I
((out.1.1,d.work+out.1.2+3),max d.cells (out.2+8))
theorem sound (T : DecisionThreshold) (I : Instance n) (words : Words I)
(hy : (run T I words).1.1 = true) : Solvable I := by
dsimp only [run] at hy
split at hy
· exact WordMeasuredDecision.sound I _ _ words hy
· exact (ExactFallback.decision_correct I).mp ((FallbackCells.decision_value I).symm.trans hy)
theorem probability (T : DecisionThreshold) (I : Instance n) (hs : Solvable I) :
(2/3 : ℝ) ≤ (FiniteLaw.uniform : FiniteLaw (Words I)).probability
(fun words => (run T I words).1.1 = true) := by
by_cases hg : (WordInputDescriptor.run T.value I).guard = true
· have hm := (WordInputDescriptor.run_guard T.value I).symm.trans hg
have hn := T.large.trans (of_decide_eq_true hm).1
have hscale := mainGuard_log (by unfold inputScale; omega : 0 < inputScale I) hm
have he : (fun words : Words I => (run T I words).1.1 = true) =
(fun words => (WordMeasuredDecision.repeated I hn hscale words).1.1 = true) := by
funext words
simp only [run,hg,↓reduceDIte]
rw [he]
exact (WordMeasuredDecision.probability I hn hscale
(T.halfGap n (of_decide_eq_true hm).1) hs).le
· have he : (fun words : Words I => (run T I words).1.1 = true) = (fun _ => True) := by
funext words
simp [run,hg,FallbackCells.decision_value,(ExactFallback.decision_correct I).mpr hs]
rw [he,FiniteLaw.probability_true]
norm_num
theorem rejects (T : DecisionThreshold) (I : Instance n) (hs : ¬Solvable I)
(words : Words I) : (run T I words).1.1 = false := by
apply Bool.eq_false_iff.mpr
exact fun h => hs (sound T I words h)
private theorem overhead (u C H k l : ℕ) (hu : 10000 ≤ u) (hC : 1 ≤ C) (hH : 1 ≤ H)
(hk : 2 ≤ k) (hl : 2 ≤ l) :
100*u+3 ≤ u^k*H ∧ 100*u+8 ≤ u^l*C := by
have hsmall : 100*u+8 ≤ u^2 := by nlinarith
have ht : u^2 ≤ u^k := Nat.pow_le_pow_right (by omega) hk
have hc : u^2 ≤ u^l := Nat.pow_le_pow_right (by omega) hl
exact ⟨(show 100*u+3 ≤ u^2 by omega).trans (ht.trans (Nat.le_mul_of_pos_right _ hH)),
hsmall.trans (hc.trans (Nat.le_mul_of_pos_right _ hC))⟩
theorem main_bounds (T : DecisionThreshold) (I : Instance n)
(hm : mainGuard T.value n (inputScale I) = true) (words : Words I) :
(run T I words).1.2 ≤ 2*(inputScale I^624*2^((n+1)/2)) ∧
(run T I words).2 ≤ 2*writableWordLimit I := by
have hg := (WordInputDescriptor.run_guard T.value I).trans hm
have hn := T.large.trans (of_decide_eq_true hm).1
have hscale := mainGuard_log (by unfold inputScale; omega : 0 < inputScale I) hm
have hw := WordMeasuredBounds.repeated_work I hn hscale words
have hc := WordMeasuredBounds.repeated_cells I hn hscale words
have hdw := WordInputDescriptor.run_work T.value I
have hdc := WordInputDescriptor.run_cells T.value I
have hO := overhead (inputScale I) (compressionDictionaryCapacity n) (2^((n+1)/2)) 624 15
(by unfold inputScale; omega) Nat.one_le_two_pow Nat.one_le_two_pow (by decide) (by decide)
unfold run
simp only [hg,↓reduceDIte]
constructor
· omega
· unfold writableWordLimit at hc ⊢
apply max_le <;> omega
theorem work_fits (T : DecisionThreshold) (I : Instance n)
(hm : mainGuard T.value n (inputScale I) = true) (words : Words I) :
(run T I words).1.2 < 2^wordWidth I := by
have hn := T.large.trans (of_decide_eq_true hm).1
have hl := mainGuard_log (by unfold inputScale; omega : 0 < inputScale I) hm
have hc := WordExecutionAsymptotics.counter_limit I (by omega) hl
have ht := Nat.mul_lt_mul_of_pos_left hc (by decide : 0 < 2)
rw [←pow_succ'] at ht
exact ((main_bounds T I hm words).1.trans_lt ht).trans_le
(Nat.pow_le_pow_right (by decide) (by unfold wordWidth inputScale; omega))
theorem cells_fits (T : DecisionThreshold) (I : Instance n)
(hm : mainGuard T.value n (inputScale I) = true) (words : Words I) :
(run T I words).2 < 2^wordWidth I := by
have hn := T.large.trans (of_decide_eq_true hm).1
have hl := mainGuard_log (by unfold inputScale; omega : 0 < inputScale I) hm
have hc := writableWordLimit_lt_two_pow I (by omega) hl
have ht := Nat.mul_lt_mul_of_pos_left hc (by decide : 0 < 2)
rw [←pow_succ'] at ht
exact ((main_bounds T I hm words).2.trans_lt ht).trans_le
(Nat.pow_le_pow_right (by decide) (by unfold wordWidth inputScale; omega))
end LowSpaceSubsetSum.WordFinalDecision
end
end OAI