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Add lean source and binary files (part 63)
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import OAI.Computability.RationalHitting.MatrixComputation
namespace OAI
namespace RationalHitting.StackLanguage
lemma range_flatMap_to_finRange {A : Type} (n : ℕ) (f : ℕ → List A) :
(List.range n).flatMap f=(List.finRange n).flatMap (fun i => f i.val) := by
rw [←finRange_map_val,List.flatMap_map]
namespace Poly
variable {A B : Type} [Coding A] [Coding B]
theorem tabulateUp {n : A → ℕ} {f : A×Unary → B}
(hn : Poly (fun a => Unary.mk (n a))) (hf : Poly f) :
Poly (fun a => (List.range (n a)).map (fun i => f (a,⟨i⟩))) :=
hf.tabulate.comp (hn.pair (show Poly (fun a : A => a) from id))
theorem flatMapUp {n : A → ℕ} {f : A×Unary → List B}
(hn : Poly (fun a => Unary.mk (n a))) (hf : Poly f) :
Poly (fun a => (List.range (n a)).flatMap (fun i => f (a,⟨i⟩))) :=
(listFlatten.comp (tabulateUp hn hf)).of_eq (by intro a;rw [List.flatMap_def])
theorem wordRange {n : A → ℕ} {f : A×Unary → BitWord}
(hn : Poly (fun a => Unary.mk (n a))) (hf : Poly f) :
Poly (fun a => BitWord.mk ((List.range (n a)).flatMap (fun i => (f (a,⟨i⟩)).val))) :=
(wordConcat.comp (tabulateUp hn hf)).of_eq (by intro a;simp [List.flatMap_map])
end Poly
end RationalHitting.StackLanguage
namespace RationalHitting.StackLanguage
namespace Runtime
abbrev MatrixWordArgs := (DenseSquare×DenseSquare)×ℤ
def matrixWord (A B : DenseSquare) (den : ℤ) : BitWord :=
⟨(List.range A.dim).flatMap fun i =>
(List.range A.dim).flatMap fun j =>
encodeRat (Rat.divInt (cramer A B i j).val.det den)⟩
@[fun_prop] theorem matrixWord_poly : Poly (fun a : MatrixWordArgs => matrixWord a.1.1 a.1.2 a.2) := by
have hc : Poly (fun a : (MatrixWordArgs×Unary)×Unary =>
cramer a.1.1.1.1 a.1.1.1.2 a.1.2.val a.2.val) :=
cramer_poly.comp (show Poly (fun a : (MatrixWordArgs×Unary)×Unary =>
(a.1.1.1,(a.1.2,a.2))) by fun_prop)
have hv := Poly.rationalEncode.comp ((Poly.denseDet.comp hc).pair
(show Poly (fun a : (MatrixWordArgs×Unary)×Unary => a.1.1.2) by fun_prop))
have hr := Poly.wordRange (Poly.denseDim.comp (show Poly (fun a : MatrixWordArgs×Unary => a.1.1.1) by fun_prop)) hv
exact Poly.wordRange (Poly.denseDim.comp (show Poly (fun a : MatrixWordArgs => a.1.1) by fun_prop)) hr
lemma matrixWord_of {d : ℕ} (A B : Matrix (Fin d) (Fin d) ℤ) (den : ℤ) :
(matrixWord (DenseSquare.of A) (DenseSquare.of B) den).val=
(List.finRange d).flatMap (fun i => (List.finRange d).flatMap (fun j =>
encodeRat (Rat.divInt (A.updateCol i (fun r => B r j)).det den))) := by
unfold matrixWord
change (List.range d).flatMap _ = _
rw [range_flatMap_to_finRange]
apply List.flatMap_congr
intro i hi
rw [range_flatMap_to_finRange]
apply List.flatMap_congr
intro j hj
change Fin d at j
exact cramer_encode_of A B den i j
abbrev TupleWordArgs := (Params×GridPoint)×DenseSquare×ℤ
def tupleWord (p : Params) (x : GridPoint) (A : DenseSquare) (den : ℤ) : BitWord :=
⟨(List.range p.n).flatMap fun i => (matrixWord A (matrix p x ⟨i+1⟩) den).val⟩
@[fun_prop] theorem tupleWord_poly : Poly (fun a : TupleWordArgs => tupleWord a.1.1 a.1.2 a.2.1 a.2.2) := by
have hm : Poly (fun a : TupleWordArgs×Unary => matrix a.1.1.1 a.1.1.2 (a.2+1)) := by fun_prop
have hv := matrixWord_poly.comp
(((show Poly (fun a : TupleWordArgs×Unary => a.1.2.1) by fun_prop).pair hm).pair
(show Poly (fun a : TupleWordArgs×Unary => a.1.2.2) by fun_prop))
exact Poly.wordRange (show Poly (fun a : TupleWordArgs => a.1.1.1) by fun_prop) hv
lemma tupleWord_eq (n s : ℕ) (x : GridPoint) (den : ℤ) :
(tupleWord (Params.of n s) x
(matrix (Params.of n s) x 0) den).val =
encodeTuple (ExecutableGenerator.tuple (ExecutableGenerator.normalized
(ExecutableGenerator.inputTables n (Parameters.N n s) (Parameters.exponent n s) (gridFn x)) den)) := by
unfold tupleWord encodeTuple
change (List.range n).flatMap _ = _
rw [range_flatMap_to_finRange]
apply List.flatMap_congr
intro a ha
let U := Generator.U n (Parameters.N n s) (Parameters.exponent n s) (gridFn x)
have hzero : matrix (Params.of n s) x 0=DenseSquare.of (U 0) := matrix_eq n s x 0
have hsucc : matrix (Params.of n s) x ⟨a.val+1⟩=DenseSquare.of (U a.succ) := matrix_eq n s x a.succ
trans (matrixWord (DenseSquare.of (U 0)) (DenseSquare.of (U a.succ)) den).val
· exact congrArg₂ (fun A B => (matrixWord A B den).val) hzero hsucc
rw [matrixWord_of]
apply List.flatMap_congr
intro i hi
apply List.flatMap_congr
intro j hj
congr 1
rw [ExecutableGenerator.tuple_normalized,ExecutableGenerator.normalizedEntry,
DeterminantAlgorithm.determinant_eq,DeterminantAlgorithm.denote_tabulate,
ExecutableGenerator.inputTables_denote,ExecutableGenerator.inputTables_denote]
end Runtime
end RationalHitting.StackLanguage
namespace RationalHitting.StackLanguage
namespace Runtime
def point (p : Params) (x : GridPoint) : List BitWord :=
let A := matrix p x 0
let den := A.val.det
if den=0 then [] else [tupleWord p x A den]
@[fun_prop] theorem point_poly : Poly (fun a : Params×GridPoint => point a.1 a.2) := by
have hf : Poly (fun a : TupleWordArgs =>
if a.2.2=0 then ([] : List BitWord) else [tupleWord a.1.1 a.1.2 a.2.1 a.2.2]) := by
apply Poly.ite
· exact Poly.intZero.comp (show Poly (fun a : TupleWordArgs => a.2.2) by fun_prop)
· exact Poly.const []
· exact Poly.listSingleton.comp tupleWord_poly
have hm : Poly (fun a : Params×GridPoint => matrix a.1 a.2 0) := by fun_prop
exact hf.comp ((show Poly (fun a : Params×GridPoint => a) from Poly.id).pair
(hm.pair (Poly.denseDet.comp hm)))
lemma matrix_det_eq (n s : ℕ) (x : GridPoint) (a : Fin (n+1)) :
(matrix (Params.of n s) x ⟨a.val⟩).val.det=
(Generator.U n (Parameters.N n s) (Parameters.exponent n s) (gridFn x) a).det := by
apply congrArg Matrix.det
funext i j
exact entry_eq n _ _ (gridFn x) a i j
lemma point_eq (n s : ℕ) (x : GridPoint) :
point (Params.of n s) x=
((ExecutableGenerator.atPoint n (Parameters.N n s) (Parameters.exponent n s) (gridFn x)).toList.map
(fun X => BitWord.mk (encodeTuple X))) := by
unfold point ExecutableGenerator.atPoint
simp only [DeterminantAlgorithm.determinant_eq,ExecutableGenerator.inputTables_denote]
have hd : (matrix (Params.of n s) x 0).val.det=
(Generator.U n (Parameters.N n s) (Parameters.exponent n s) (gridFn x) 0).det :=
matrix_det_eq n s x 0
rw [hd]
split_ifs with hz
· rfl
· simp only [Option.toList_some,List.map_cons,List.map_nil,List.cons.injEq, and_true]
apply congrArg BitWord.mk
exact tupleWord_eq n s x _
end Runtime
end RationalHitting.StackLanguage
namespace RationalHitting.StackLanguage
lemma map_filterMap_toList {A B C : Type} (l : List A) (f : A → Option B) (g : B → C) :
(l.filterMap f).map g=l.flatMap (fun a => (f a).toList.map g) := by
induction l with
| nil => rfl
| cons a l ih => cases h : f a <;> simp [h,ih]
namespace Runtime
def words (p : Params) : List BitWord :=
(List.range p.H).flatMap fun t => (List.range p.H).flatMap fun q =>
(List.range p.H).flatMap fun r => point p (⟨t+1⟩,⟨q+1⟩,⟨r+1⟩)
@[fun_prop] theorem words_poly : Poly words := by
have hp : Poly (fun a : ((Params×Unary)×Unary)×Unary =>
point a.1.1.1 (a.1.1.2+1,a.1.2+1,a.2+1)) := by fun_prop
have h1 := Poly.flatMapUp (show Poly (fun a : (Params×Unary)×Unary => a.1.1.2.2.2.2) by fun_prop) hp
have h2 := Poly.flatMapUp (show Poly (fun a : Params×Unary => a.1.2.2.2.2) by fun_prop) h1
exact Poly.flatMapUp (show Poly (fun a : Params => a.2.2.2.2) by fun_prop) h2
lemma gridFn_fin {H : ℕ} (t p r : Fin H) :
gridFn (⟨t.val+1⟩,⟨p.val+1⟩,⟨r.val+1⟩)=fun i => (![t,p,r] i).val+1 := by
funext i;fin_cases i <;> rfl
lemma words_eq (n s : ℕ) : words (Params.of n s)=
(ExecutableGenerator.list n s).tuples.map (fun X => BitWord.mk (encodeTuple X)) := by
unfold words
rw [show (Params.of n s).H=Parameters.H n s from rfl]
simp only [ExecutableGenerator.list,ExecutableGenerator.output]
rw [map_filterMap_toList]
simp only [Generator.grid,List.flatMap_assoc,List.flatMap_map]
rw [range_flatMap_to_finRange]
apply List.flatMap_congr
intro t ht
rw [range_flatMap_to_finRange]
apply List.flatMap_congr
intro p hp
rw [range_flatMap_to_finRange]
apply List.flatMap_congr
intro r hr
rw [point_eq,gridFn_fin]
end Runtime
end RationalHitting.StackLanguage
end OAI