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Sync from openai/math@faee2cf485a8 (part 13)
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import OAI.Computability.SpaceSimulation.OneTape.Trial
import OAI.Computability.SpaceSimulation.OneTape.Sizes
namespace OAI
namespace Fifths.Single
open Entry Cost Fifths.Comp
variable {X I U : Type} (M : Single X)
def choiceSite (T a : ℕ) : Site :=
let k := K T
{ T := T, k := k, positive := K_pos _
left := ⟨a%(k*k),Nat.mod_lt _ (Nat.mul_pos (K_pos _) (K_pos _))⟩ }
theorem choice_at {T : ℕ} (a : Fin (K T * K T)) :
choiceSite T a.val = Site.mk T (K T) (K_pos T) a := by
have h : (choiceSite T a.val).left.val = a.val :=
Nat.mod_eq_of_lt a.isLt
exact congrArg (Site.mk T (K T) (K_pos T)) (Fin.ext h)
/-- Capped evaluator. All offsets, workspace reused. -/
theorem cappedRegister (A : M.Sym) (d : ℕ)
{x : I → List X} {S T a : I → ℕ}
(q : Comp x S a T) (h : Scaled S (fun i => Cost.bound d (T i)))
(l : ∃ B, ∀ i, M.Gives A (x i) (T i) (B*(S i+1))) :
Tells x S a (fun i => M.outcome (x i) (T i)) := by
let n : I → ℕ := fun i => K (T i) * K (T i)
let w := fun i j => choiceSite (T i) j
let f := fun i j => M.complete (x i) (w i j)
have u := Cost.ofT q
have v : Comp x S a n := u.mul u
have g : ∀ {U : Type} (r : U → I) {e o : U → ℕ},
ReComp x S r e (fun i => a (r i)) →
ReComp x S r e o →
ReComp x S r e (fun i => (f (r i) (o i)).toNat) ∧
Tells (fun i => x (r i)) (fun i => S (r i)) e
(fun i => M.readout (x (r i)) (w (r i) (o i))) := by
intro U r e o p l₀
let W := fun i => w (r i) (o i)
let X' := fun i => x (r i)
let S' := fun i => S (r i)
have est := M.estimate W X' d (fun _ => rfl)
have c : M.Kit A X' S' e W :=
{ ofCap := p.trans (q.pull r)
ofK := p.trans (u.pull r)
ofPosition := l₀.mod (p.trans (v.pull r))
budget := est.1.up (h.pull r)
access := by obtain ⟨B,l⟩ := l; exact ⟨B,fun i => l (r i)⟩ }
exact c.solves (est.2.trans (h.pull r))
have k := scanPick f v (fun e p q =>
(g (fun i : Before n => i.val.1) p q).1)
have p i : f i (Scan.pick (f i) (n i)) = true := by
obtain ⟨a,h⟩ := M.some_complete (x i) (T i) _ (K_pos _) (bigK _)
apply (Scan.pick_spec _ _ ?_).2
exact ⟨a.val,a.isLt,by rw [← choice_at] at h; exact h⟩
refine Comp.congr ((g id (Comp.refl q.source) k).2) (fun i => ?_)
exact congrArg code (M.if_complete _ _ (p i))
theorem capFits (d : ℕ) (T : I → ℕ) :
Fits (fun i => Cost.bound d (T i)) T := by
let S := fun i => Cost.bound d (T i)
exact (Scaled.refl S).of_le (fun i => Nat.le_trans (Nat.le_succ _) (lg_le d (T i)))
theorem stable (x : List X) {t u}
(p : (M.outcome x t).2) (q : (M.outcome x u).2) :
M.outcome x t = M.outcome x u := by
have h (t u : ℕ) (p : (M.outcome x t).2 = true) (q : t ≤ u) :
M.outcome x u = M.outcome x t := by
nth_rw 1 [show u=t+(u-t) by omega]
unfold outcome
rw [M.absorbed x p (u-t)]
cases le_total t u with
| inl r => exact (h t u p r).symm
| inr r => exact h u t q r
/-- Unknown-time branch. Keep predicate is computed by a fully
charged invocation; `n` below is a proof index for the represented
call trajectory, not a program input. -/
theorem noCapRegister (A : M.Sym) (d c : ℕ)
{x : I → List X} {t : I → ℕ}
(h : ∀ i, (M.outcome (x i) (t i)).2 = true)
(p : ∀ i T, T ≥ 2 → M.Gives A (x i) T (c*(Cost.bound d T+1))) :
Tells x (fun i => Cost.bound d (t i+2)) (fun _ => 0)
(fun i => M.outcome (x i) (t i)) := by
classical
let S i := Cost.bound d (t i+2)
let cap (j : ℕ) := j+2
let m i j := (M.outcome (x i) (cap j)).2 = true
have l i : m i (t i) := by
change (M.outcome (x i) (t i+2)).2 = true
unfold outcome
rw [M.absorbed (x i) (h i) 2]
exact h i
have v i : ∃ j, m i j := ⟨_,l i⟩
let n i := Nat.find (v i)
have b i : n i ≤ t i := Nat.find_min' (v i) (l i)
have g i : m i (n i) := Nat.find_spec (v i)
have fS : Fits S (fun i => t i+2) := capFits d (fun i => t i+2)
have c' : ∀ {U : Type} (r : U → I) {a u : U → ℕ},
ReComp x S r a (fun i => cap (u i)) → (∀ i, u i ≤ t (r i)) →
Tells (fun i => x (r i)) (fun i => S (r i)) a
(fun i => M.outcome (x (r i)) (cap (u i))) := by
intro U r a u h l
have j (i : U) : Cost.bound d (cap (u i)) ≤ S (r i) :=
bound_mono d (Nat.add_le_add_right (l i) _)
exact M.cappedRegister A d h ((Scaled.refl _).of_le j)
⟨c, fun i => (p (r i) (cap (u i)) (by unfold cap; omega)).mono
(Nat.mul_le_mul_left _ (Nat.add_le_add_right (j i) _))⟩
have w : Comp x S (fun _ => cap 0) (fun i => cap (n i)) := by
apply Comp.loop n (fun _ j => cap j)
· let f : Before n → I := fun i => i.1.1
have e : Comp (fun i => x (f i)) (fun i => S (f i))
(fun (i : Before n) => cap i.1.2) (fun i => cap i.1.2) :=
Comp.refl ((fS.pull f).mono (fun i =>
Nat.add_le_add_right (i.2.le.trans (b _)) _))
exact e.plus1 -- cap(j+1)
· let f : Through n → I := fun i => i.1.1
let s := fun (i : Through n) => i.1.2
have z (i : Through n) : s i ≤ t (f i) := i.2.trans (b _)
have v₁ : Comp (fun i => x (f i)) (fun i => S (f i))
(fun i => cap (s i)) (fun i => cap (s i)) := Comp.refl
((fS.pull f).mono (fun i => Nat.add_le_add_right (z i) _))
apply (Entry.finite_map (fun v : M.Outcome => (!v.2).toNat) (c' f v₁ z)).congr
intro i
have w : s i ≤ n (f i) := i.2
change (!(M.outcome (x (f i)) (cap (s i))).2).toNat =
(decide (s i < n (f i))).toNat
rcases w.lt_or_eq with e|e
· have y := Nat.find_min (v (f i)) e
change (M.outcome _ _).2 ≠ true at y
simp [e,Bool.eq_false_iff.mpr y]
· rw [e, g (f i)]
simp
have j := c' id w b
refine (Comp.trans (Comp.constant (Fits.const S 0) (cap 0)) j).congr
(fun i => congrArg code (M.stable (x i) (g i) (h i)))
end Fifths.Single
end OAI