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Add lean source and binary files (part 61)
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import OAI.Computability.MatchingCount.UnaryClog
namespace OAI
section
namespace BinaryMatching.Raw.InputData
open StackCode Algorithm Raw.Optimize
abbrev Rec := ℕ×(ℕ×List Bool)
abbrev Data := ℕ×List Rec
def repr (r : Record) : Rec := (r.left,(r.right,r.multiplicity.bits))
def decodeRecord (b : ℕ) (r : Parse.RecordBits) : Rec :=
(Parse.boundedValue b r.1,(Parse.boundedValue b r.2.1,r.2.2))
lemma decodeRecord_repr (G : Input) (b : ℕ) (hb : G.n≤b) (r : Record) (hr : r∈G.records) :
decodeRecord b (Parse.recordRepr r)=repr r := by
have hv := G.valid r hr
simp only [decodeRecord,Parse.recordRepr,Parse.boundedValue_bits,repr]
rw [min_eq_right (by omega : r.left≤b),min_eq_right (by omega : r.right≤b)]
@[fun_prop] theorem decodeRecord_poly : Poly (fun z : ℕ×Parse.RecordBits => decodeRecord z.1 z.2) := by
unfold decodeRecord
fun_prop
def bound (rs : List Parse.RecordBits) : ℕ := 2*rs.length+1
def decode (z : List Bool×List Parse.RecordBits) : Data :=
(Parse.boundedValue (bound z.2) z.1,z.2.map (decodeRecord (bound z.2)))
lemma decode_encoded (G : Input) (hn : G.n≤2*G.records.length) :
decode (G.n.bits,G.records.map Parse.recordRepr)=(G.n,G.records.map repr) := by
unfold decode
simp only [bound,List.length_map,Parse.boundedValue_bits]
rw [min_eq_right (by omega : G.n≤2*G.records.length+1)]
congr 1
rw [List.map_map]
apply List.map_congr_left
intro r hr
exact decodeRecord_repr G _ (by omega) r hr
lemma decode_n_encoded (G : Input) :
(decode (G.n.bits,G.records.map Parse.recordRepr)).1=min (2*G.records.length+1) G.n := by
simp only [decode,bound,List.length_map,Parse.boundedValue_bits]
lemma decode_length (z : List Bool×List Parse.RecordBits) : (decode z).2.length=z.2.length := by simp [decode]
@[fun_prop] theorem decode_poly : Poly decode := by
have hm := Poly.mapWith (fun z : List Bool×List Parse.RecordBits => z.2)
(fun z : (List Bool×List Parse.RecordBits)×Parse.RecordBits => decodeRecord (bound z.1.2) z.2)
(by fun_prop) (by unfold bound; fun_prop)
unfold decode bound
fun_prop
def multiplicityBits (rs : List Rec) (i j : ℕ) : List Bool :=
((rs.find? (fun a => a.1=i && a.2.1=j)).map (fun a => a.2.2)).getD []
lemma multiplicityBits_repr (G : Input) (i j : ℕ) :
multiplicityBits (G.records.map repr) i j=(rawMultiplicity G i j).bits := by
unfold multiplicityBits rawMultiplicity
rw [List.find?_map]
change (((G.records.find? (fun r => r.left=i && r.right=j)).map repr).map (fun a => a.2.2)).getD []=_
cases G.records.find? (fun r => r.left=i && r.right=j) <;> rfl
lemma multiplicityBits_pair (G : Input) (e : Pair G.n) :
multiplicityBits (G.records.map repr) e.val.1.val e.val.2.val=(multiplicity G e).bits := by
rw [multiplicityBits_repr]
unfold rawMultiplicity multiplicity
cases G.records.find? (fun r => r.left=e.val.1.val && r.right=e.val.2.val) <;> rfl
@[fun_prop] theorem multiplicityBits_poly : Poly (fun z : List Rec×(ℕ×ℕ) => multiplicityBits z.1 z.2.1 z.2.2) := by
have hf := Poly.findWith (fun z : List Rec×(ℕ×ℕ) => z.1)
(fun z : (List Rec×(ℕ×ℕ))×Rec => decide (z.2.1=z.1.2.1) && decide (z.2.2.1=z.1.2.2)) (by fun_prop) (by fun_prop)
unfold multiplicityBits
fun_prop
def bitsBudget (rs : List Rec) : ℕ := (rs.map (fun r => r.2.2.length-1)).foldl max 0
lemma bitsBudget_repr (G : Input) : bitsBudget (G.records.map repr)=B G := by
unfold bitsBudget B
simp only [List.map_map,Function.comp_def,repr,←Parse.log2_bits_length]
@[fun_prop] theorem bitsBudget_poly : Poly bitsBudget := by
have hf := Poly.listFoldAdd (fun z : ℕ×ℕ => max z.1 z.2) Poly.natMax 1 (by
intro z
simp only [code_nat_length]
omega)
exact Poly.comp _ (fun rs : List Rec => (rs.map (fun r => r.2.2.length-1),0)) hf (by fun_prop)
def pairs (n : ℕ) : ℕ := (upperSum n (fun _ _ => (1:ℤ))).toNat
lemma pairs_eq (n : ℕ) : pairs n=q n := by
have h := upperSum_rep (fun _ : Pair n => (1:ℤ)) (fun _ _ => (1:ℤ)) (fun _ => rfl)
simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,mul_one] at h
unfold pairs
rw [h]
simp [q]
@[fun_prop] theorem pairs_poly : Poly pairs := by
have h := Raw.Optimize.Compiler.upperSum_poly id (fun _ => (1:ℤ)) (by fun_prop) (by fun_prop)
unfold pairs
fun_prop
def betaValue (rs : List Rec) (L i j : ℕ) : ℤ :=
let bits := multiplicityBits rs i j
if bits.isEmpty then -(L:ℤ) else (bits.length-1:ℕ)
lemma betaValue_repr (G : Input) (e : Pair G.n) :
betaValue (G.records.map repr) (L G) e.val.1.val e.val.2.val=Algorithm.beta G e := by
unfold betaValue Algorithm.beta
rw [multiplicityBits_pair]
simp only [List.isEmpty_iff,Parse.bits_nil_iff,Parse.log2_bits_length]
@[fun_prop] theorem betaValue_poly : Poly (fun z : (List Rec×ℕ)×(ℕ×ℕ) => betaValue z.1.1 z.1.2 z.2.1 z.2.2) := by
unfold betaValue
fun_prop
def betaMatrix (n : ℕ) (rs : List Rec) (L : ℕ) : Matrix ℤ :=
matrix n (fun i j => if i < j then betaValue rs L i j else 0)
lemma betaMatrix_repr (G : Input) :
betaMatrix G.n (G.records.map repr) (L G)=tableRep (toTable (Algorithm.beta G)) := by
apply matrix_eq_rep
intro i j
by_cases hij : i < j
· simp [toTable,tabulate,hij,betaValue_repr G ⟨(i,j),hij⟩]
· simp [toTable,tabulate,hij]
@[fun_prop] theorem betaMatrix_poly : Poly (fun z : Data×ℕ => betaMatrix z.1.1 z.1.2 z.2) := by
have hb : Poly (fun z : ((Data×ℕ)×ℕ)×ℕ => betaValue z.1.1.1.2 z.1.1.2 z.1.2 z.2) :=
Poly.comp _ (fun z : ((Data×ℕ)×ℕ)×ℕ => ((z.1.1.1.2,z.1.1.2),(z.1.2,z.2))) betaValue_poly (by fun_prop)
have h := Poly.rawMatrix (fun z : Data×ℕ => z.1.1)
(fun z : ((Data×ℕ)×ℕ)×ℕ => if decide (z.1.2<z.2) then betaValue z.1.1.1.2 z.1.1.2 z.1.2 z.2 else 0)
(by fun_prop) (by fun_prop)
exact h.congr (fun _ => by simp only [betaMatrix,decide_eq_true_eq])
def parameters (z : Data) : Params :=
let q := pairs z.1
let k := Nat.clog 2 q
let l := 100*(z.1+bitsBudget z.2+1)^3
let m := q*(k+l)*(2+10*z.1^2)
let d := q*(k+l+m)^2
⟨z.1,q,k,l,d,m,2^(Nat.clog 2 q),betaMatrix z.1 z.2 l⟩
lemma parameters_repr (G : Input) : parameters (G.n,G.records.map repr)=params G := by
simp only [parameters,pairs_eq,bitsBudget_repr,params,K,L,M₀,D₀,A₀]
congr 1
exact betaMatrix_repr G
@[fun_prop] theorem parameters_poly : Poly parameters := by
let p (z : Data) : ParamData :=
let q := pairs z.1
let k := Nat.clog 2 q
let l := 100*(z.1+bitsBudget z.2+1)^3
let m := q*(k+l)*(2+10*z.1^2)
let d := q*(k+l+m)^2
(z.1,(q,(k,(l,(d,(m,(2^(Nat.clog 2 q),betaMatrix z.1 z.2 l)))))))
have hb : Poly (fun z : Data => betaMatrix z.1 z.2 (100*(z.1+bitsBudget z.2+1)^3)) :=
Poly.comp _ (fun z : Data => (z,100*(z.1+bitsBudget z.2+1)^3)) betaMatrix_poly (by fun_prop)
have hpw : Poly (fun z : Data => 2^(Nat.clog 2 (pairs z.1))) :=
Poly.comp _ (fun z : Data => pairs z.1) Poly.powClog2 (by fun_prop)
have hp : Poly p := by dsimp only [p]; fun_prop
exact Poly.comp _ p Raw.Optimize.Compiler.paramsOfData_poly hp
end BinaryMatching.Raw.InputData
end
end OAI