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Add lean source and binary files (part 63)
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import OAI.Computability.RationalHitting.LiftComputation
namespace OAI
namespace RationalHitting.StackLanguage
open Function
variable {A : Type} [Coding A]
def flattenStep (a : List (List A)×List A) : List (List A)×List A :=
(a.1.tail,a.2++a.1.headD [])
lemma flattenStep_code_le (a : List (List A)×List A) :
(code (flattenStep a)).length≤(code a).length := by
rcases a with ⟨l,r⟩
cases l with
| nil => simp [flattenStep]
| cons x l =>
simp only [flattenStep,List.tail_cons,List.headD_cons,prod_code_length]
change 2*(listCode code l).length+1+(listCode code (r++x)).length≤
2*(listCode code (x::l)).length+1+(listCode code r).length
simp only [listCode_cons,listCode_append,List.length_append,codeWord_length]
change _≤2*(2*(listCode code x).length+1+(listCode code l).length)+1+(listCode code r).length
omega
lemma flattenStep_iterate_code (a : List (List A)×List A) (k : ℕ) :
(code (flattenStep^[k] a)).length≤(code a).length := by
induction k with
| zero => rfl
| succ k ih => rw [iterate_succ_apply'];exact (flattenStep_code_le _).trans ih
lemma flattenStep_iterate {A : Type} [Coding A] (l : List (List A)) (r : List A) :
flattenStep^[l.length] (l,r)=([],r++l.flatten) := by
induction l generalizing r with
| nil => simp
| cons x l ih =>
rw [List.length_cons,iterate_succ_apply]
simp [flattenStep,ih,List.append_assoc]
namespace Poly
@[fun_prop] theorem listFlatten : Poly (List.flatten : List (List A) → List A) := by
have hs : Poly (flattenStep (A:=A)) := by
unfold flattenStep
fun_prop
have ht := hs.iterate TimeBound.variable (by
intro n a i hi
have hh := flattenStep_iterate_code a i
simp only [TimeBound.eval_variable,pairCode_length,unaryCode_length]
omega)
have ho := (show Poly (Prod.snd : List (List A)×List A → List A) from snd).comp
(ht.comp (show Poly (fun a : List (List A) => (Unary.mk a.length,(a,([] : List A)))) by fun_prop))
exact ho.of_eq (by intro a;simp [flattenStep_iterate])
theorem listFlatMap {B C : Type} [Coding B] [Coding C] [Inhabited B]
{f : C×B → List A} (hf : Poly f) :
Poly (fun a : C×List B => a.2.flatMap (fun b => f (a.1,b))) := by
exact (listFlatten.comp hf.listMap).of_eq (by intro a;rw [List.flatMap_def])
end Poly
end RationalHitting.StackLanguage
namespace RationalHitting.StackLanguage
open Function
instance : Inhabited BitWord := ⟨⟨[]⟩⟩
def concatStep (a : List BitWord×BitWord) : List BitWord×BitWord :=
(a.1.tail,⟨a.2.val++(a.1.headD ⟨[]⟩).val⟩)
lemma concatStep_code_le (a : List BitWord×BitWord) :
(code (concatStep a)).length≤(code a).length := by
rcases a with ⟨l,⟨r⟩⟩
cases l with
| nil => simp [concatStep]
| cons x l =>
simp only [concatStep,List.tail_cons,List.headD_cons,prod_code_length]
change 2*(listCode code l).length+1+(r++x.val).length≤
2*(listCode code (x::l)).length+1+r.length
simp only [listCode_cons,List.length_append,codeWord_length]
change _≤2*(2*x.val.length+1+(listCode code l).length)+1+r.length
omega
lemma concatStep_iterate_code (a : List BitWord×BitWord) (k : ℕ) :
(code (concatStep^[k] a)).length≤(code a).length := by
induction k with
| zero => rfl
| succ k ih => rw [iterate_succ_apply'];exact (concatStep_code_le _).trans ih
lemma concatStep_iterate (l : List BitWord) (r : List Bool) :
concatStep^[l.length] (l,⟨r⟩)=([],⟨r++l.flatMap BitWord.val⟩) := by
induction l generalizing r with
| nil => simp
| cons x l ih =>
rw [List.length_cons,iterate_succ_apply]
simp [concatStep,ih,List.append_assoc]
namespace Procedure
def encodeWord : Procedure _root_.id _root_.id StackLanguage.encodedWord where
Registers := Fin 4
finite := inferInstance
decEq := inferInstance
input := 0
output := 1
program := StackLanguage.encodeWord
bound := 15*TimeBound.variable
correct a := by
refine ⟨11*a.length+7,by simp;omega,?_⟩
have hh := eval_encodeWord (single (0:Fin 4) a) (by simp [single]) (by simp [single])
have hout : update (update (single (0:Fin 4) a) 0 []) 1
(encodedWord ((single (0:Fin 4) a) 0)++(single (0:Fin 4) a) 1)=
single 1 (encodedWord a) := by
funext j;fin_cases j <;> simp [single]
rw [hout] at hh
simpa [single] using hh
size a := by simp [encodedWord];omega
end Procedure
namespace Poly
@[fun_prop] theorem wordConcat : Poly (fun l : List BitWord => BitWord.mk (l.flatMap BitWord.val)) := by
have hs : Poly concatStep := by
have hh : Poly (fun a : List BitWord×BitWord => (a.2,a.1.headD ⟨[]⟩)) := by fun_prop
exact (listTail.comp fst).pair (wordAppend.comp hh)
have ht := hs.iterate TimeBound.variable (by
intro n a i hi
have hh := concatStep_iterate_code a i
simp only [TimeBound.eval_variable,pairCode_length,unaryCode_length]
omega)
have ho := (show Poly (Prod.snd : List BitWord×BitWord → BitWord) from snd).comp
(ht.comp (show Poly (fun a : List BitWord => (Unary.mk a.length,(a,(⟨[]⟩ : BitWord)))) by fun_prop))
exact ho.of_eq (by intro a;simp [concatStep_iterate])
@[fun_prop] theorem encodeNat : Poly (fun a : ℕ => BitWord.mk (RationalHitting.encodeNat a)) := by
exact (show Feasible _root_.id _root_.id StackLanguage.encodedWord from ⟨Procedure.encodeWord⟩).recode
_ _ _ Nat.bits (by intro a;rfl) (by intro a;exact encodedWord_bits a)
@[fun_prop] theorem encodeUnary : Poly (fun a : Unary => BitWord.mk (RationalHitting.encodeNat a.val)) :=
encodeNat.comp unaryToNat
end Poly
end RationalHitting.StackLanguage
namespace RationalHitting.StackLanguage
namespace Runtime
abbrev GridPoint := Unary×Unary×Unary
def gridFn (x : GridPoint) : Fin 3 → ℕ := ![x.1.val,x.2.1.val,x.2.2.val]
def matrix (p : Params) (x : GridPoint) (a : Unary) : DenseSquare :=
⟨p.m*p.q,fun i j => entry p.m p.N p.q a.val x.1.val x.2.1.val x.2.2.val i.val j.val⟩
@[fun_prop] theorem matrix_poly : Poly (fun a : Params×GridPoint×Unary => matrix a.1 a.2.1 a.2.2) := by
have hn : Poly (fun a : Params×GridPoint×Unary => a.1.2.2.1*a.1.2.2.2.1) := by fun_prop
have he : Poly (fun a : (Params×GridPoint×Unary)×(Unary×Unary) =>
((a.1.1.2.2.1,a.1.1.2.1,a.1.1.2.2.2.1),
(a.1.2.2.toInt,a.1.2.1.1.toInt,a.1.2.1.2.1.toInt,a.1.2.1.2.2.toInt),a.2)) := by fun_prop
exact Poly.denseBuild hn (entry_poly.comp he)
lemma matrix_eq (n s : ℕ) (x : GridPoint) (a : Fin (n+1)) :
matrix (Params.of n s) x ⟨a.val⟩ = DenseSquare.of
(Generator.U n (Parameters.N n s) (Parameters.exponent n s) (gridFn x) a) := by
apply congrArg (fun A => (⟨Generator.D (Parameters.exponent n s),A⟩ : DenseSquare))
funext i j
exact entry_eq n _ _ (gridFn x) a i j
def cramer (A B : DenseSquare) (i j : ℕ) : DenseSquare :=
⟨A.dim,fun r c => if c.val=i then B.get r.val j else A.val r c⟩
@[fun_prop] theorem cramer_poly : Poly (fun a : (DenseSquare×DenseSquare)×(Unary×Unary) =>
cramer a.1.1 a.1.2 a.2.1.val a.2.2.val) := by
have hn : Poly (fun a : (DenseSquare×DenseSquare)×(Unary×Unary) => Unary.mk a.1.1.dim) :=
Poly.denseDim.comp (by fun_prop)
have hc : Poly (fun a : ((DenseSquare×DenseSquare)×(Unary×Unary))×(Unary×Unary) =>
Unary.eqb a.2.2 a.1.2.1) := by fun_prop
have hv : Poly (fun a : ((DenseSquare×DenseSquare)×(Unary×Unary))×(Unary×Unary) =>
a.1.1.2.get a.2.1.val a.1.2.2.val) := Poly.denseGet.comp (show Poly (fun a : ((DenseSquare×DenseSquare)×(Unary×Unary))×(Unary×Unary) =>
(a.1.1.2,(a.2.1,a.1.2.2))) by fun_prop)
have hw : Poly (fun a : ((DenseSquare×DenseSquare)×(Unary×Unary))×(Unary×Unary) =>
a.1.1.1.get a.2.1.val a.2.2.val) := Poly.denseGet.comp (show Poly (fun a : ((DenseSquare×DenseSquare)×(Unary×Unary))×(Unary×Unary) =>
(a.1.1.1,(a.2.1,a.2.2))) by fun_prop)
exact (Poly.denseBuild hn (hc.cond hv hw)).of_eq (by
intro a
apply congrArg (fun A => (⟨a.1.1.dim,A⟩ : DenseSquare))
funext i j
simp [Unary.eqb])
lemma cramer_of {d : ℕ} (A B : Matrix (Fin d) (Fin d) ℤ) (i j : Fin d) :
cramer (DenseSquare.of A) (DenseSquare.of B) i.val j.val=
DenseSquare.of (A.updateCol i (fun r => B r j)) := by
unfold cramer DenseSquare.of
congr 1
funext r c
simp [DenseSquare.get,Matrix.updateCol_apply,Fin.ext_iff]
end Runtime
end RationalHitting.StackLanguage
namespace RationalHitting.StackLanguage.Runtime
lemma cramer_det_of {d : ℕ} (A B : Matrix (Fin d) (Fin d) ℤ) (i j : Fin d) :
(cramer (DenseSquare.of A) (DenseSquare.of B) i.val j.val).val.det=
(A.updateCol i (fun r => B r j)).det := by
unfold cramer DenseSquare.of
apply congrArg Matrix.det
funext r c
simp [DenseSquare.get,Matrix.updateCol_apply,Fin.ext_iff]
lemma cramer_encode_of {d : ℕ} (A B : Matrix (Fin d) (Fin d) ℤ) (den : ℤ) (i j : Fin d) :
encodeRat (Rat.divInt (cramer (DenseSquare.of A) (DenseSquare.of B) i.val j.val).val.det den)=
encodeRat (Rat.divInt (A.updateCol i (fun r => B r j)).det den) :=
congrArg (fun z => encodeRat (Rat.divInt z den)) (cramer_det_of A B i j)
end RationalHitting.StackLanguage.Runtime
end OAI