openAI-math-dataset / lean /OAI /Probability /SATVariance /MarkovReplacement.lean
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import OAI.Probability.SATVariance.BlockKilling
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory
namespace RandomKSAT
open scoped Classical ENNReal
def favg.{u_1} {α : Type u_1} [Fintype α] (f : α → ℝ) : ℝ :=
(∑ a, f a) / Fintype.card α
lemma favg_mono.{u_1} {α : Type u_1} [Fintype α] {f g : α → ℝ} (h : ∀ a, f a ≤ g a) :
favg f ≤ favg g := by
exact div_le_div_of_nonneg_right (Finset.sum_le_sum fun a _ => h a) (by positivity)
lemma favg_const.{u_1} {α : Type u_1} [Fintype α] [Nonempty α] (c : ℝ) :
favg (fun _ : α => c) = c := by
simp [favg, Fintype.card_ne_zero]
lemma favg_add.{u_1} {α : Type u_1} [Fintype α] (f g : α → ℝ) :
favg (fun a => f a + g a) = favg f + favg g := by
simp only [favg, Finset.sum_add_distrib, add_div]
lemma favg_sub.{u_1} {α : Type u_1} [Fintype α] (f g : α → ℝ) :
favg (fun a => f a - g a) = favg f - favg g := by
simp only [favg, Finset.sum_sub_distrib, sub_div]
lemma favg_equiv.{u_1, u_2} {α : Type u_1} {β : Type u_2} [Fintype α] [Fintype β] (e : α ≃ β) (f : β → ℝ) :
favg (fun a => f (e a)) = favg f := by
rw [favg, favg, e.sum_comp f, Fintype.card_congr e]
lemma favg_comm.{u_1, u_2} {α : Type u_1} {β : Type u_2} [Fintype α] [Fintype β] (f : α → β → ℝ) :
favg (fun a => favg (f a)) = favg (fun b => favg (fun a => f a b)) := by
simp only [favg, ← Finset.sum_div]
rw [Finset.sum_comm]
ring
lemma favg_prod.{u_1, u_2} {α : Type u_1} {β : Type u_2} [Fintype α] [Fintype β] (f : α × β → ℝ) :
favg f = favg (fun a => favg fun b => f (a,b)) := by
simp only [favg, Fintype.sum_prod_type, Fintype.card_prod, Nat.cast_mul,
← Finset.sum_div]
ring
lemma uniformOn_real.{u_1} {α : Type u_1} [Fintype α] [MeasurableSpace α]
[MeasurableSingletonClass α] (s : Set α) :
(uniformOn Set.univ s).toReal = favg (fun a => if a ∈ s then 1 else 0) := by
rw [uniformOn_univ, count_set_fintype]
simp only [ENNReal.toReal_div, ENNReal.toReal_natCast, favg]
congr 1
simp [Fintype.card_subtype]
lemma prefixLaw {u s : ℕ} (hsu : s ≤ u) (m : ℕ) :
(streamLaw u s).map (fun ω (i : Fin m) => ω i) =
uniformOn (Set.univ : Set (Fin m → Clause u s)) := by
let := clauseLaw_probability u s hsu
rw [streamLaw, Measure.map_infinitePi_infinitePi_of_inj Fin.val_injective,
Measure.infinitePi_eq_pi]
simpa only [Set.pi_univ, clauseLaw] using
(uniformOn_pi (f := fun _ : Fin m => (Set.univ : Set (Clause u s)))).symm
def residual.{u_1} {u s : ℕ} {ι : Type u_1} [Fintype ι]
(S : Finset (Assignment u)) (cs : ι → Clause u s) : Finset (Assignment u) :=
S.filter fun a => ∀ i, Satisfies (cs i) a
lemma residual_comm.{u_1, u_2} {u r s : ℕ} {ι : Type u_1} {κ : Type u_2} [Fintype ι] [Fintype κ]
(S : Finset (Assignment u)) (cs : ι → Clause u r) (ds : κ → Clause u s) :
residual (residual S cs) ds = residual (residual S ds) cs := by
ext a
simp only [residual, Finset.mem_filter]
tauto
lemma residual_cons {u s m : ℕ} (S : Finset (Assignment u)) (c : Clause u s)
(cs : Fin m → Clause u s) :
residual S (Fin.cons c cs) = residual (S.filter (Satisfies c)) cs := by
ext a
simp [residual, Fin.forall_fin_succ, and_assoc]
def clauseStep (u s : ℕ) (f : Finset (Assignment u) → ℝ)
(S : Finset (Assignment u)) : ℝ :=
favg fun c : Clause u s => f (S.filter (Satisfies c))
def alive (u : ℕ) (S : Finset (Assignment u)) : ℝ := if S.Nonempty then 1 else 0
lemma clauseStep_mono (u s : ℕ) : Monotone (clauseStep u s) := by
intro f g h S
exact favg_mono fun c => h _
lemma clauseStep_const {u s : ℕ} (hsu : s ≤ u) (c : ℝ) :
clauseStep u s (fun _ => c) = fun _ => c := by
let := clause_nonempty u s hsu
funext S
exact favg_const c
lemma clauseStep_add (u s : ℕ) (f g : Finset (Assignment u) → ℝ) :
clauseStep u s (f+g) = clauseStep u s f + clauseStep u s g := by
funext S
exact favg_add _ _
lemma clauseStep_comm (u r s : ℕ) : Function.Commute (clauseStep u r) (clauseStep u s) := by
intro f
funext S
unfold clauseStep
rw [favg_comm]
congr 1
funext d
congr 1
funext c
congr 1
ext a
simp only [Finset.mem_filter]
tauto
lemma clauseStep_iterate_avg (u s m : ℕ) (f : Finset (Assignment u) → ℝ)
(S : Finset (Assignment u)) :
(clauseStep u s)^[m] f S = favg (fun cs : Fin m → Clause u s => f (residual S cs)) := by
induction m generalizing S with
| zero => simp [residual, favg]
| succ m ih =>
rw [Function.iterate_succ_apply', clauseStep]
simp_rw [ih]
rw [← favg_prod (fun p : Clause u s × (Fin m → Clause u s) =>
f (residual (S.filter (Satisfies p.1)) p.2)),
← favg_equiv (Fin.consEquiv (fun _ : Fin (m+1) => Clause u s))]
congr 1
funext p
simp only [Fin.consEquiv, Equiv.coe_fn_mk, residual_cons]
lemma blockKill_iterate {u s : ℕ} (hsu : s ≤ u) (S : Finset (Assignment u)) (m : ℕ) :
blockKill u s S m = 1 - (clauseStep u s)^[m] (alive u) S := by
rw [blockKill_compl hsu, clauseStep_iterate_avg]
congr 1
have he : {ω : Stream u s | SetSAT S ω m} =
(fun ω (i : Fin m) => ω i) ⁻¹' {cs | (residual S cs).Nonempty} := by
ext ω
simp only [Set.mem_ofPred_eq, Set.mem_preimage, SetSAT, residual,
Finset.Nonempty, Finset.mem_filter]
exact exists_congr fun a => and_congr_right fun _ => (Fin.forall_iff (p := fun i : Fin m => Satisfies (ω i) a)).symm
rw [he, ← Measure.map_apply (by fun_prop) (Set.toFinite _).measurableSet, prefixLaw hsu,
uniformOn_real]
simp only [alive, Set.mem_ofPred_eq]
congr 1
funext cs
split_ifs <;> rfl
lemma iterate_add_const.{u_1} {α : Type u_1} (A : (α → ℝ) → (α → ℝ))
(hA : ∀ f c, A (f + fun _ => c) = A f + fun _ => c)
(m : ℕ) (f : α → ℝ) (c : ℝ) :
A^[m] (f + fun _ => c) = A^[m] f + fun _ => c := by
induction m with
| zero => rfl
| succ m ih => rw [Function.iterate_succ_apply', ih, hA, Function.iterate_succ_apply']
lemma markov_telescoping.{u_1} {α : Type u_1} (A B : (α → ℝ) → (α → ℝ))
(hA : Monotone A) (hB : Monotone B)
(hAc : ∀ f c, A (f + fun _ => c) = A f + fun _ => c)
(hBc : ∀ f c, B (f + fun _ => c) = B f + fun _ => c)
(hcomm : Function.Commute A B) (f : α → ℝ) (δ : ℝ)
(hone : A f ≤ B f + fun _ => δ) (d : ℕ) :
A^[d] f ≤ B^[d] f + fun _ => (d : ℝ)*δ := by
induction d with
| zero => intro x; simp
| succ d ih =>
have h₁ := hA.iterate d hone
rw [iterate_add_const A hAc, hcomm.iterate_left d f] at h₁
have h₂ := hB ih
rw [hBc, ← Function.iterate_succ_apply' B d f] at h₂
intro x
have h₁x := h₁ x
have h₂x := h₂ x
simp only [Pi.add_apply] at h₁x h₂x
rw [Function.iterate_succ_apply]
change A^[d] (A f) x ≤ B^[d+1] f x + ((d+1 : ℕ) : ℝ)*δ
push_cast
linarith
lemma clauseStep_add_const {u s : ℕ} (hsu : s ≤ u)
(f : Finset (Assignment u) → ℝ) (c : ℝ) :
clauseStep u s (f + fun _ => c) = clauseStep u s f + fun _ => c := by
rw [clauseStep_add, clauseStep_const hsu]
lemma sequential_replacement {u r g : ℕ} (hr : 2 ≤ r) (hru : r+1 ≤ u) (hg : 1 ≤ g)
(S : Finset (Assignment u)) (d : ℕ) :
blockKill u r S d - (d : ℝ)*replacementK (r+1)/(g : ℝ)^r ≤
blockKill u (r+1) S (d*g) := by
have hru' : r ≤ u := by omega
have hone : (clauseStep u (r+1))^[g] (alive u) ≤
clauseStep u r (alive u) + fun _ => replacementK (r+1)/(g : ℝ)^r := by
intro S'
have h := one_replacement hr hru hg S'
rw [blockKill_iterate hru', blockKill_iterate hru, Function.iterate_one] at h
change _ ≤ clauseStep u r (alive u) S' + replacementK (r+1)/(g : ℝ)^r
linarith
have hh := markov_telescoping (clauseStep u (r+1))^[g] (clauseStep u r)
((clauseStep_mono u (r+1)).iterate g) (clauseStep_mono u r)
(iterate_add_const _ (clauseStep_add_const hru) g)
(clauseStep_add_const hru') ((clauseStep_comm u (r+1) r).iterate_left g)
(alive u) (replacementK (r+1)/(g : ℝ)^r) hone d S
rw [← Function.iterate_mul, Nat.mul_comm g d] at hh
rw [blockKill_iterate hru', blockKill_iterate hru]
change _ ≤ _
simp only [Pi.add_apply, ← mul_div_assoc] at hh
linarith
lemma favg_mul.{u_1} {α : Type u_1} [Fintype α] (c : ℝ) (f : α → ℝ) :
favg (fun a => c*f a) = c*favg f := by
simp only [favg, ← Finset.mul_sum]
ring
lemma favg_nonneg.{u_1} {α : Type u_1} [Fintype α] {f : α → ℝ} (h : ∀ a, 0 ≤ f a) :
0 ≤ favg f := by
exact div_nonneg (Finset.sum_nonneg fun a _ => h a) (by positivity)
lemma residual_subset.{u_1} {u s : ℕ} {ι : Type u_1} [Fintype ι]
(S : Finset (Assignment u)) (cs : ι → Clause u s) : residual S cs ⊆ S :=
Finset.filter_subset _ _
lemma residual_mono.{u_1} {u s : ℕ} {ι : Type u_1} [Fintype ι]
{S T : Finset (Assignment u)} (h : S ⊆ T) (cs : ι → Clause u s) :
residual S cs ⊆ residual T cs := Finset.filter_subset_filter _ h
lemma alive_nonneg (u : ℕ) (S : Finset (Assignment u)) : 0 ≤ alive u S := by
unfold alive
split_ifs <;> norm_num
lemma alive_le_one (u : ℕ) (S : Finset (Assignment u)) : alive u S ≤ 1 := by
unfold alive
split_ifs <;> norm_num
lemma alive_mono {u : ℕ} {S T : Finset (Assignment u)} (h : S ⊆ T) :
alive u S ≤ alive u T := by
unfold alive
by_cases hS : S.Nonempty
· simp [hS, hS.mono h]
· simp only [hS, ite_false]
split_ifs <;> norm_num
def survival (u s : ℕ) (S : Finset (Assignment u)) (m : ℕ) : ℝ :=
(clauseStep u s)^[m] (alive u) S
lemma survival_avg (u s : ℕ) (S : Finset (Assignment u)) (m : ℕ) :
survival u s S m = favg fun cs : Fin m → Clause u s => alive u (residual S cs) :=
clauseStep_iterate_avg _ _ _ _ _
lemma survival_zero (u s : ℕ) (S : Finset (Assignment u)) : survival u s S 0 = alive u S := rfl
lemma survival_empty (u s m : ℕ) : survival u s ∅ m = 0 := by
simp [survival_avg, residual, alive, favg]
lemma survival_nonneg (u s : ℕ) (S : Finset (Assignment u)) (m : ℕ) :
0 ≤ survival u s S m := by
rw [survival_avg]
exact favg_nonneg fun _ => alive_nonneg _ _
lemma survival_le_one {u s : ℕ} (hsu : s ≤ u) (S : Finset (Assignment u)) (m : ℕ) :
survival u s S m ≤ 1 := by
let := clause_nonempty u s hsu
rw [survival_avg, ← favg_const (α := Fin m → Clause u s) (1 : ℝ)]
exact favg_mono fun _ => alive_le_one _ _
lemma survival_mono {u s : ℕ} {S T : Finset (Assignment u)} (h : S ⊆ T) (m : ℕ) :
survival u s S m ≤ survival u s T m := by
rw [survival_avg, survival_avg]
exact favg_mono fun _ => alive_mono (residual_mono h _)
lemma survival_eq_prob {u s : ℕ} (hsu : s ≤ u) (S : Finset (Assignment u)) (m : ℕ) :
survival u s S m = (streamLaw u s {ω | SetSAT S ω m}).toReal := by
have h := blockKill_iterate hsu S m
rw [blockKill_compl hsu] at h
change _ = 1 - survival u s S m at h
linarith
lemma survival_summable {u s : ℕ} (hsu : s ≤ u) (S : Finset (Assignment u)) :
Summable (survival u s S) := by
have hr : 1-((2 : ℝ)^s)⁻¹ < 1 := by
have h : 0 < ((2 : ℝ)^s)⁻¹ := by positivity
linarith
apply Summable.of_nonneg_of_le (survival_nonneg u s S) _
((summable_geometric_of_lt_one (real_rate_nonneg s) hr).mul_left (S.card : ℝ))
intro m
rw [survival_eq_prob hsu]
have h := ENNReal.toReal_mono (by finiteness) (set_survival_le hsu S m)
simpa only [ENNReal.toReal_mul, ENNReal.toReal_natCast, ENNReal.toReal_pow, rate_toReal] using h
lemma survival_add (u s : ℕ) (S : Finset (Assignment u)) (m j : ℕ) :
survival u s S (m+j) =
favg fun cs : Fin m → Clause u s => survival u s (residual S cs) j := by
unfold survival
rw [Function.iterate_add_apply, clauseStep_iterate_avg]
lemma survival_submultiplicative (u s : ℕ) (S : Finset (Assignment u)) (m j : ℕ) :
survival u s S (m+j) ≤ survival u s S m * survival u s S j := by
rw [survival_add]
calc
_ ≤ favg (fun cs : Fin m → Clause u s =>
survival u s S j * alive u (residual S cs)) := by
apply favg_mono
intro cs
by_cases he : (residual S cs).Nonempty
· simpa [alive, he] using survival_mono (residual_subset S cs) j
· have he' := Finset.not_nonempty_iff_eq_empty.mp he
simp [he', alive, survival_empty]
_ = _ := by rw [favg_mul, ← survival_avg]; ring
def lifetime (u s : ℕ) (S : Finset (Assignment u)) : ℝ := ∑' m, survival u s S m
lemma lifetime_nonneg (u s : ℕ) (S : Finset (Assignment u)) : 0 ≤ lifetime u s S :=
tsum_nonneg (survival_nonneg u s S)
lemma lifetime_empty (u s : ℕ) : lifetime u s ∅ = 0 := by simp [lifetime, survival_empty]
lemma lifetime_block {u s : ℕ} (hsu : s ≤ u) (S : Finset (Assignment u)) (m : ℕ)
(hR : 0 < blockKill u s S m) :
lifetime u s S ≤ (m : ℝ) / blockKill u s S m := by
have hsum := survival_summable hsu S
have hsplit := hsum.sum_add_tsum_nat_add m
have hhead : ∑ i ∈ Finset.range m, survival u s S i ≤ (m : ℝ) := by
calc
_ ≤ ∑ _i ∈ Finset.range m, (1 : ℝ) := Finset.sum_le_sum fun i _ => survival_le_one hsu S i
_ = _ := by simp
have htail : (∑' j, survival u s S (j+m)) ≤ survival u s S m * lifetime u s S := by
rw [lifetime, ← tsum_mul_left]
apply Summable.tsum_le_tsum _ (hsum.comp_injective (fun _ _ h => Nat.add_right_cancel h))
(hsum.mul_left _)
intro j
change survival u s S (j+m) ≤ _
rw [Nat.add_comm j m]
exact survival_submultiplicative u s S m j
apply (le_div_iff₀ hR).2
rw [blockKill_iterate hsu]
change lifetime u s S * (1 - survival u s S m) ≤ (m : ℝ)
change _ + _ = lifetime u s S at hsplit
nlinarith
def lifetimeBeta (k : ℕ) : ℝ := (k : ℝ) / ((k-1 : ℕ) : ℝ)
def lifetimeC (k : ℕ) : ℝ := 4 * (2*replacementK k)^(((k-1 : ℕ) : ℝ)⁻¹)
lemma replacementK_one_le {r : ℕ} (hr : 1 ≤ r) : 1 ≤ replacementK (r+1) := by
rw [replacementK_succ]
apply one_le_pow₀
exact one_le_mul_of_one_le_of_one_le (one_le_pow₀ (by norm_num)) (by exact_mod_cast hr)
lemma lifetimeBeta_succ {r : ℕ} (hr : 0 < r) : lifetimeBeta (r+1) = 1+(r : ℝ)⁻¹ := by
simp only [lifetimeBeta, Nat.add_sub_cancel, Nat.cast_add, Nat.cast_one]
have hr₀ : (r : ℝ) ≠ 0 := by exact_mod_cast (Nat.ne_of_gt hr)
field_simp
lemma lifetimeC_pos {r : ℕ} (hr : 1 ≤ r) : 0 < lifetimeC (r+1) := by
have hK := replacementK_one_le hr
unfold lifetimeC
exact mul_pos (by norm_num) (Real.rpow_pos_of_pos (by linarith) _)
lemma replacement_block_choice {r d : ℕ} (hr : 1 ≤ r) (hd : 1 ≤ d)
{q : ℝ} (hq : 0 < q) (hq₁ : q ≤ 1) :
∃ g : ℕ, 1 ≤ g ∧
(d : ℝ)*replacementK (r+1)/(g : ℝ)^r ≤ q/2 ∧
(g : ℝ) ≤ 2*(2*replacementK (r+1)*d/q)^((r : ℝ)⁻¹) := by
let x : ℝ := (2*replacementK (r+1)*d/q)^((r : ℝ)⁻¹)
have hK := replacementK_one_le hr
have hd₀ : (1 : ℝ) ≤ d := by exact_mod_cast hd
have hz : (1 : ℝ) ≤ 2*replacementK (r+1)*d/q := by
apply (le_div_iff₀ hq).2
nlinarith
have hx : 1 ≤ x := Real.one_le_rpow hz (by positivity)
have hg : 1 ≤ ⌈x⌉₊ := Nat.one_le_ceil_iff.mpr (by linarith)
have hg₀ : (0 : ℝ) < ⌈x⌉₊ := by exact_mod_cast (by omega : 0 < ⌈x⌉₊)
refine ⟨⌈x⌉₊, hg, ?_, ?_⟩
· have hp : 2*replacementK (r+1)*d/q ≤ (⌈x⌉₊ : ℝ)^r := by
calc
_ = x^r := (Real.rpow_inv_natCast_pow (by positivity) (by omega : r ≠ 0)).symm
_ ≤ _ := pow_le_pow_left₀ (by linarith : 0 ≤ x) (Nat.le_ceil x) r
apply (div_le_iff₀ (pow_pos hg₀ r)).2
have hh := (div_le_iff₀ hq).mp hp
nlinarith
· exact (Nat.ceil_lt_add_one (by linarith : 0 ≤ x)).le.trans (by linarith)
lemma lifetime_product {u r d : ℕ} (hr : 2 ≤ r) (hru : r+1 ≤ u) (hd : 1 ≤ d)
(S : Finset (Assignment u)) :
lifetime u (r+1) S * (blockKill u r S d)^(lifetimeBeta (r+1)) ≤
lifetimeC (r+1) * (d : ℝ)^(lifetimeBeta (r+1)) := by
let q := blockKill u r S d
have hq₀ : 0 ≤ q := blockKill_nonneg _ _ _ _
have hq₁ : q ≤ 1 := blockKill_le_one (by omega) _ _
have hβ : 0 < lifetimeBeta (r+1) := by
rw [lifetimeBeta_succ (by omega)]
positivity
have hK := replacementK_one_le (by omega : 1 ≤ r)
have hC := lifetimeC_pos (by omega : 1 ≤ r)
have hd₀ : (0 : ℝ) < d := by exact_mod_cast hd
by_cases hq : q = 0
· change lifetime u (r+1) S * q^_ ≤ _
rw [hq, Real.zero_rpow (ne_of_gt hβ), mul_zero]
exact mul_nonneg hC.le (Real.rpow_nonneg hd₀.le _)
· have hq : 0 < q := lt_of_le_of_ne hq₀ (Ne.symm hq)
obtain ⟨g, hg, herr, hgub⟩ := replacement_block_choice (by omega : 1 ≤ r) hd hq hq₁
have hR : q/2 ≤ blockKill u (r+1) S (d*g) := by
have hh := sequential_replacement hr hru hg S d
change q - _ ≤ _ at hh
linarith
have hR₀ : 0 < blockKill u (r+1) S (d*g) := lt_of_lt_of_le (by linarith) hR
have hτ : lifetime u (r+1) S ≤ 4 * (2*replacementK (r+1))^((r : ℝ)⁻¹) *
((d : ℝ)/q)^(1+(r : ℝ)⁻¹) := by
calc
_ ≤ (d*g : ℕ)/blockKill u (r+1) S (d*g) := lifetime_block hru S (d*g) hR₀
_ ≤ (d*g : ℕ)/(q/2) := div_le_div_of_nonneg_left (by positivity) (by linarith) hR
_ ≤ (d : ℝ)*(2*(2*replacementK (r+1)*d/q)^((r : ℝ)⁻¹))/(q/2) := by
push_cast
exact div_le_div_of_nonneg_right (mul_le_mul_of_nonneg_left hgub hd₀.le) (by positivity)
_ = _ := by
rw [show 2*replacementK (r+1)*(d : ℝ)/q =
(2*replacementK (r+1))*((d : ℝ)/q) by ring,
Real.mul_rpow (by linarith) (by positivity), Real.rpow_add (by positivity),
Real.rpow_one]
ring
have hCeq : lifetimeC (r+1) = 4 * (2*replacementK (r+1))^((r : ℝ)⁻¹) := by
simp [lifetimeC]
rw [← lifetimeBeta_succ (by omega), ← hCeq] at hτ
rw [Real.div_rpow hd₀.le hq.le] at hτ
change lifetime u (r+1) S * q^_ ≤ _
apply (le_div_iff₀ (Real.rpow_pos_of_pos hq _)).mp
simpa only [mul_div_assoc] using hτ
lemma lifetime_level {u r d : ℕ} (hr : 2 ≤ r) (hru : r+1 ≤ u) (hd : 1 ≤ d)
(S : Finset (Assignment u)) {a : ℝ} (ha : 0 < a) (haq : a ≤ blockKill u r S d) :
lifetime u (r+1) S ≤ lifetimeC (r+1) * (d : ℝ)^(lifetimeBeta (r+1)) *
a^(-lifetimeBeta (r+1)) := by
have hβ : 0 ≤ lifetimeBeta (r+1) := by
rw [lifetimeBeta_succ (by omega)]
positivity
have hh := lifetime_product hr hru hd S
have hh' := mul_le_mul_of_nonneg_left (Real.rpow_le_rpow ha.le haq hβ)
(lifetime_nonneg u (r+1) S)
rw [Real.rpow_neg ha.le, ← div_eq_mul_inv]
apply (le_div_iff₀ (Real.rpow_pos_of_pos ha _)).2
exact hh'.trans hh
end RandomKSAT
end
end OAI