import Lean import Lean.Meta.Tactic.Simp import Init.Data.List.Basic import Mathlib.Tactic.RunCmd import Mathlib.Tactic.Linarith namespace Primitives -------------------- -- ASSERT COMMAND --Std. -------------------- open Lean Elab Command Term Meta syntax (name := assert) "#assert" term: command @[command_elab assert] unsafe def assertImpl : CommandElab := fun (_stx: Syntax) => do runTermElabM (fun _ => do let r ← evalTerm Bool (mkConst ``Bool) _stx[1] if not r then logInfo ("Assertion failed for:\n" ++ _stx[1]) throwError ("Expression reduced to false:\n" ++ _stx[1]) pure ()) #eval 2 == 2 #assert (2 == 2) ------------- -- PRELUDE -- ------------- -- Results & monadic combinators inductive Error where | assertionFailure: Error | integerOverflow: Error | divisionByZero: Error | arrayOutOfBounds: Error | maximumSizeExceeded: Error | panic: Error deriving Repr, BEq open Error inductive Result (α : Type u) where | ret (v: α): Result α | fail (e: Error): Result α | div deriving Repr, BEq open Result instance Result_Inhabited (α : Type u) : Inhabited (Result α) := Inhabited.mk (fail panic) instance Result_Nonempty (α : Type u) : Nonempty (Result α) := Nonempty.intro div /- HELPERS -/ def ret? {α: Type u} (r: Result α): Bool := match r with | ret _ => true | fail _ | div => false def div? {α: Type u} (r: Result α): Bool := match r with | div => true | ret _ | fail _ => false def massert (b:Bool) : Result Unit := if b then ret () else fail assertionFailure def eval_global {α: Type u} (x: Result α) (_: ret? x): α := match x with | fail _ | div => by contradiction | ret x => x /- DO-DSL SUPPORT -/ def bind {α : Type u} {β : Type v} (x: Result α) (f: α -> Result β) : Result β := match x with | ret v => f v | fail v => fail v | div => div -- Allows using Result in do-blocks instance : Bind Result where bind := bind -- Allows using return x in do-blocks instance : Pure Result where pure := fun x => ret x @[simp] theorem bind_ret (x : α) (f : α → Result β) : bind (.ret x) f = f x := by simp [bind] @[simp] theorem bind_fail (x : Error) (f : α → Result β) : bind (.fail x) f = .fail x := by simp [bind] @[simp] theorem bind_div (f : α → Result β) : bind .div f = .div := by simp [bind] /- CUSTOM-DSL SUPPORT -/ -- Let-binding the Result of a monadic operation is oftentimes not sufficient, -- because we may need a hypothesis for equational reasoning in the scope. We -- rely on subtype, and a custom let-binding operator, in effect recreating our -- own variant of the do-dsl def Result.attach {α: Type} (o : Result α): Result { x : α // o = ret x } := match o with | ret x => ret ⟨x, rfl⟩ | fail e => fail e | div => div @[simp] theorem bind_tc_ret (x : α) (f : α → Result β) : (do let y ← .ret x; f y) = f x := by simp [Bind.bind, bind] @[simp] theorem bind_tc_fail (x : Error) (f : α → Result β) : (do let y ← fail x; f y) = fail x := by simp [Bind.bind, bind] @[simp] theorem bind_tc_div (f : α → Result β) : (do let y ← div; f y) = div := by simp [Bind.bind, bind] ---------------------- -- MACHINE INTEGERS -- ---------------------- -- We redefine our machine integers types. -- For Isize/Usize, we reuse `getNumBits` from `USize`. You cannot reduce `getNumBits` -- using the simplifier, meaning that proofs do not depend on the compile-time value of -- USize.size. (Lean assumes 32 or 64-bit platforms, and Rust doesn't really support, at -- least officially, 16-bit microcontrollers, so this seems like a fine design decision -- for now.) -- Note from Chris Bailey: "If there's more than one salient property of your -- definition then the subtyping strategy might get messy, and the property part -- of a subtype is less discoverable by the simplifier or tactics like -- library_search." So, we will not add refinements on the return values of the -- operations defined on Primitives, but will rather rely on custom lemmas to -- invert on possible return values of the primitive operations. -- Machine integer constants, done via `ofNatCore`, which requires a proof that -- the `Nat` fits within the desired integer type. We provide a custom tactic. open System.Platform.getNumBits -- TODO: is there a way of only importing System.Platform.getNumBits? -- @[simp] def size_num_bits : Nat := (System.Platform.getNumBits ()).val -- Remark: Lean seems to use < for the comparisons with the upper bounds by convention. -- We keep the F* convention for now. @[simp] def Isize.min : Int := - (HPow.hPow 2 (size_num_bits - 1)) @[simp] def Isize.max : Int := (HPow.hPow 2 (size_num_bits - 1)) - 1 @[simp] def I8.min : Int := - (HPow.hPow 2 7) @[simp] def I8.max : Int := HPow.hPow 2 7 - 1 @[simp] def I16.min : Int := - (HPow.hPow 2 15) @[simp] def I16.max : Int := HPow.hPow 2 15 - 1 @[simp] def I32.min : Int := -(HPow.hPow 2 31) @[simp] def I32.max : Int := HPow.hPow 2 31 - 1 @[simp] def I64.min : Int := -(HPow.hPow 2 63) @[simp] def I64.max : Int := HPow.hPow 2 63 - 1 @[simp] def I128.min : Int := -(HPow.hPow 2 127) @[simp] def I128.max : Int := HPow.hPow 2 127 - 1 @[simp] def Usize.min : Int := 0 @[simp] def Usize.max : Int := HPow.hPow 2 size_num_bits - 1 @[simp] def U8.min : Int := 0 @[simp] def U8.max : Int := HPow.hPow 2 8 - 1 @[simp] def U16.min : Int := 0 @[simp] def U16.max : Int := HPow.hPow 2 16 - 1 @[simp] def U32.min : Int := 0 @[simp] def U32.max : Int := HPow.hPow 2 32 - 1 @[simp] def U64.min : Int := 0 @[simp] def U64.max : Int := HPow.hPow 2 64 - 1 @[simp] def U128.min : Int := 0 @[simp] def U128.max : Int := HPow.hPow 2 128 - 1 #assert (I8.min == -128) #assert (I8.max == 127) #assert (I16.min == -32768) #assert (I16.max == 32767) #assert (I32.min == -2147483648) #assert (I32.max == 2147483647) #assert (I64.min == -9223372036854775808) #assert (I64.max == 9223372036854775807) #assert (I128.min == -170141183460469231731687303715884105728) #assert (I128.max == 170141183460469231731687303715884105727) #assert (U8.min == 0) #assert (U8.max == 255) #assert (U16.min == 0) #assert (U16.max == 65535) #assert (U32.min == 0) #assert (U32.max == 4294967295) #assert (U64.min == 0) #assert (U64.max == 18446744073709551615) #assert (U128.min == 0) #assert (U128.max == 340282366920938463463374607431768211455) inductive ScalarTy := | Isize | I8 | I16 | I32 | I64 | I128 | Usize | U8 | U16 | U32 | U64 | U128 def Scalar.min (ty : ScalarTy) : Int := match ty with | .Isize => Isize.min | .I8 => I8.min | .I16 => I16.min | .I32 => I32.min | .I64 => I64.min | .I128 => I128.min | .Usize => Usize.min | .U8 => U8.min | .U16 => U16.min | .U32 => U32.min | .U64 => U64.min | .U128 => U128.min def Scalar.max (ty : ScalarTy) : Int := match ty with | .Isize => Isize.max | .I8 => I8.max | .I16 => I16.max | .I32 => I32.max | .I64 => I64.max | .I128 => I128.max | .Usize => Usize.max | .U8 => U8.max | .U16 => U16.max | .U32 => U32.max | .U64 => U64.max | .U128 => U128.max -- "Conservative" bounds -- We use those because we can't compare to the isize bounds (which can't -- reduce at compile-time). Whenever we perform an arithmetic operation like -- addition we need to check that the result is in bounds: we first compare -- to the conservative bounds, which reduce, then compare to the real bounds. -- This is useful for the various #asserts that we want to reduce at -- type-checking time. def Scalar.cMin (ty : ScalarTy) : Int := match ty with | .Isize => I32.min | _ => Scalar.min ty def Scalar.cMax (ty : ScalarTy) : Int := match ty with | .Isize => I32.max | .Usize => U32.max | _ => Scalar.max ty theorem Scalar.cMin_bound ty : Scalar.min ty ≤ Scalar.cMin ty := by cases ty <;> simp [Scalar.min, Scalar.max, Scalar.cMin, Scalar.cMax] at * cases System.Platform.numBits_eq <;> unfold System.Platform.numBits at * <;> simp [*] theorem Scalar.cMax_bound ty : Scalar.cMax ty ≤ Scalar.max ty := by cases ty <;> simp [Scalar.min, Scalar.max, Scalar.cMin, Scalar.cMax] at * <;> cases System.Platform.numBits_eq <;> unfold System.Platform.numBits at * <;> simp [*] theorem Scalar.cMin_suffices ty (h : Scalar.cMin ty ≤ x) : Scalar.min ty ≤ x := by cases ty <;> simp [Scalar.min, Scalar.max, Scalar.cMin, Scalar.cMax] at * <;> cases System.Platform.numBits_eq <;> unfold System.Platform.numBits at * <;> simp [*] at * -- TODO: I would have expected terms like `-(1 + 1) ^ 63` to be simplified linarith theorem Scalar.cMax_suffices ty (h : x ≤ Scalar.cMax ty) : x ≤ Scalar.max ty := by cases ty <;> simp [Scalar.min, Scalar.max, Scalar.cMin, Scalar.cMax] at * <;> cases System.Platform.numBits_eq <;> unfold System.Platform.numBits at * <;> simp [*] at * <;> -- TODO: I would have expected terms like `-(1 + 1) ^ 63` to be simplified linarith structure Scalar (ty : ScalarTy) where val : Int hmin : Scalar.min ty ≤ val hmax : val ≤ Scalar.max ty deriving Repr theorem Scalar.bound_suffices (ty : ScalarTy) (x : Int) : Scalar.cMin ty ≤ x ∧ x ≤ Scalar.cMax ty -> Scalar.min ty ≤ x ∧ x ≤ Scalar.max ty := λ h => by apply And.intro <;> have hmin := Scalar.cMin_bound ty <;> have hmax := Scalar.cMax_bound ty <;> linarith def Scalar.ofIntCore {ty : ScalarTy} (x : Int) (hmin : Scalar.min ty ≤ x) (hmax : x ≤ Scalar.max ty) : Scalar ty := { val := x, hmin := hmin, hmax := hmax } def Scalar.ofInt {ty : ScalarTy} (x : Int) (h : Scalar.min ty ≤ x ∧ x ≤ Scalar.max ty) : Scalar ty := -- Remark: we initially wrote: -- let ⟨ hmin, hmax ⟩ := h -- Scalar.ofIntCore x hmin hmax -- We updated to the line below because a similar pattern in `Scalar.tryMk` -- made reduction block. Both versions seem to work for `Scalar.ofInt`, though. -- TODO: investigate Scalar.ofIntCore x h.left h.right @[simp] def Scalar.check_bounds (ty : ScalarTy) (x : Int) : Bool := (Scalar.cMin ty ≤ x || Scalar.min ty ≤ x) ∧ (x ≤ Scalar.cMax ty || x ≤ Scalar.max ty) theorem Scalar.check_bounds_prop {ty : ScalarTy} {x : Int} (h: Scalar.check_bounds ty x) : Scalar.min ty ≤ x ∧ x ≤ Scalar.max ty := by simp at * have ⟨ hmin, hmax ⟩ := h have hbmin := Scalar.cMin_bound ty have hbmax := Scalar.cMax_bound ty cases hmin <;> cases hmax <;> apply And.intro <;> linarith -- Further thoughts: look at what has been done here: -- https://github.com/leanprover-community/mathlib4/blob/master/Mathlib/Data/Fin/Basic.lean -- and -- https://github.com/leanprover-community/mathlib4/blob/master/Mathlib/Data/UInt.lean -- which both contain a fair amount of reasoning already! def Scalar.tryMk (ty : ScalarTy) (x : Int) : Result (Scalar ty) := if h:Scalar.check_bounds ty x then -- If we do: -- ``` -- let ⟨ hmin, hmax ⟩ := (Scalar.check_bounds_prop h) -- Scalar.ofIntCore x hmin hmax -- ``` -- then normalization blocks (for instance, some proofs which use reflexivity fail). -- However, the version below doesn't block reduction (TODO: investigate): return Scalar.ofInt x (Scalar.check_bounds_prop h) else fail integerOverflow def Scalar.neg {ty : ScalarTy} (x : Scalar ty) : Result (Scalar ty) := Scalar.tryMk ty (- x.val) def Scalar.div {ty : ScalarTy} (x : Scalar ty) (y : Scalar ty) : Result (Scalar ty) := if y.val != 0 then Scalar.tryMk ty (x.val / y.val) else fail divisionByZero -- Our custom remainder operation, which satisfies the semantics of Rust -- TODO: is there a better way? def scalar_rem (x y : Int) : Int := if 0 ≤ x then |x| % |y| else - (|x| % |y|) -- Our custom division operation, which satisfies the semantics of Rust -- TODO: is there a better way? def scalar_div (x y : Int) : Int := if 0 ≤ x && 0 ≤ y then |x| / |y| else if 0 ≤ x && y < 0 then - (|x| / |y|) else if x < 0 && 0 ≤ y then - (|x| / |y|) else |x| / |y| -- Checking that the remainder operation is correct #assert scalar_rem 1 2 = 1 #assert scalar_rem (-1) 2 = -1 #assert scalar_rem 1 (-2) = 1 #assert scalar_rem (-1) (-2) = -1 #assert scalar_rem 7 3 = (1:Int) #assert scalar_rem (-7) 3 = -1 #assert scalar_rem 7 (-3) = 1 #assert scalar_rem (-7) (-3) = -1 -- Checking that the division operation is correct #assert scalar_div 3 2 = 1 #assert scalar_div (-3) 2 = -1 #assert scalar_div 3 (-2) = -1 #assert scalar_div (-3) (-2) = 1 #assert scalar_div 7 3 = 2 #assert scalar_div (-7) 3 = -2 #assert scalar_div 7 (-3) = -2 #assert scalar_div (-7) (-3) = 2 def Scalar.rem {ty : ScalarTy} (x : Scalar ty) (y : Scalar ty) : Result (Scalar ty) := if y.val != 0 then Scalar.tryMk ty (x.val % y.val) else fail divisionByZero def Scalar.add {ty : ScalarTy} (x : Scalar ty) (y : Scalar ty) : Result (Scalar ty) := Scalar.tryMk ty (x.val + y.val) def Scalar.sub {ty : ScalarTy} (x : Scalar ty) (y : Scalar ty) : Result (Scalar ty) := Scalar.tryMk ty (x.val - y.val) def Scalar.mul {ty : ScalarTy} (x : Scalar ty) (y : Scalar ty) : Result (Scalar ty) := Scalar.tryMk ty (x.val * y.val) -- TODO: instances of +, -, * etc. for scalars -- Cast an integer from a [src_ty] to a [tgt_ty] -- TODO: check the semantics of casts in Rust def Scalar.cast {src_ty : ScalarTy} (tgt_ty : ScalarTy) (x : Scalar src_ty) : Result (Scalar tgt_ty) := Scalar.tryMk tgt_ty x.val -- The scalar types -- We declare the definitions as reducible so that Lean can unfold them (useful -- for type class resolution for instance). @[reducible] def Isize := Scalar .Isize @[reducible] def I8 := Scalar .I8 @[reducible] def I16 := Scalar .I16 @[reducible] def I32 := Scalar .I32 @[reducible] def I64 := Scalar .I64 @[reducible] def I128 := Scalar .I128 @[reducible] def Usize := Scalar .Usize @[reducible] def U8 := Scalar .U8 @[reducible] def U16 := Scalar .U16 @[reducible] def U32 := Scalar .U32 @[reducible] def U64 := Scalar .U64 @[reducible] def U128 := Scalar .U128 -- TODO: below: not sure this is the best way. -- Should we rather overload operations like +, -, etc.? -- Also, it is possible to automate the generation of those definitions -- with macros (but would it be a good idea? It would be less easy to -- read the file, which is not supposed to change a lot) -- Negation /-- Remark: there is no heterogeneous negation in the Lean prelude: we thus introduce one here. The notation typeclass for heterogeneous addition. This enables the notation `- a : β` where `a : α`. -/ class HNeg (α : Type u) (β : outParam (Type v)) where /-- `- a` computes the negation of `a`. The meaning of this notation is type-dependent. -/ hNeg : α → β prefix:75 "-" => HNeg.hNeg instance : HNeg Isize (Result Isize) where hNeg x := Scalar.neg x instance : HNeg I8 (Result I8) where hNeg x := Scalar.neg x instance : HNeg I16 (Result I16) where hNeg x := Scalar.neg x instance : HNeg I32 (Result I32) where hNeg x := Scalar.neg x instance : HNeg I64 (Result I64) where hNeg x := Scalar.neg x instance : HNeg I128 (Result I128) where hNeg x := Scalar.neg x -- Addition instance {ty} : HAdd (Scalar ty) (Scalar ty) (Result (Scalar ty)) where hAdd x y := Scalar.add x y -- Substraction instance {ty} : HSub (Scalar ty) (Scalar ty) (Result (Scalar ty)) where hSub x y := Scalar.sub x y -- Multiplication instance {ty} : HMul (Scalar ty) (Scalar ty) (Result (Scalar ty)) where hMul x y := Scalar.mul x y -- Division instance {ty} : HDiv (Scalar ty) (Scalar ty) (Result (Scalar ty)) where hDiv x y := Scalar.div x y -- Remainder instance {ty} : HMod (Scalar ty) (Scalar ty) (Result (Scalar ty)) where hMod x y := Scalar.rem x y -- ofIntCore -- TODO: typeclass? def Isize.ofIntCore := @Scalar.ofIntCore .Isize def I8.ofIntCore := @Scalar.ofIntCore .I8 def I16.ofIntCore := @Scalar.ofIntCore .I16 def I32.ofIntCore := @Scalar.ofIntCore .I32 def I64.ofIntCore := @Scalar.ofIntCore .I64 def I128.ofIntCore := @Scalar.ofIntCore .I128 def Usize.ofIntCore := @Scalar.ofIntCore .Usize def U8.ofIntCore := @Scalar.ofIntCore .U8 def U16.ofIntCore := @Scalar.ofIntCore .U16 def U32.ofIntCore := @Scalar.ofIntCore .U32 def U64.ofIntCore := @Scalar.ofIntCore .U64 def U128.ofIntCore := @Scalar.ofIntCore .U128 -- ofInt -- TODO: typeclass? def Isize.ofInt := @Scalar.ofInt .Isize def I8.ofInt := @Scalar.ofInt .I8 def I16.ofInt := @Scalar.ofInt .I16 def I32.ofInt := @Scalar.ofInt .I32 def I64.ofInt := @Scalar.ofInt .I64 def I128.ofInt := @Scalar.ofInt .I128 def Usize.ofInt := @Scalar.ofInt .Usize def U8.ofInt := @Scalar.ofInt .U8 def U16.ofInt := @Scalar.ofInt .U16 def U32.ofInt := @Scalar.ofInt .U32 def U64.ofInt := @Scalar.ofInt .U64 def U128.ofInt := @Scalar.ofInt .U128 -- Comparisons instance {ty} : LT (Scalar ty) where lt a b := LT.lt a.val b.val instance {ty} : LE (Scalar ty) where le a b := LE.le a.val b.val instance Scalar.decLt {ty} (a b : Scalar ty) : Decidable (LT.lt a b) := Int.decLt .. instance Scalar.decLe {ty} (a b : Scalar ty) : Decidable (LE.le a b) := Int.decLe .. theorem Scalar.eq_of_val_eq {ty} : ∀ {i j : Scalar ty}, Eq i.val j.val → Eq i j | ⟨_, _, _⟩, ⟨_, _, _⟩, rfl => rfl theorem Scalar.val_eq_of_eq {ty} {i j : Scalar ty} (h : Eq i j) : Eq i.val j.val := h ▸ rfl theorem Scalar.ne_of_val_ne {ty} {i j : Scalar ty} (h : Not (Eq i.val j.val)) : Not (Eq i j) := fun h' => absurd (val_eq_of_eq h') h instance (ty : ScalarTy) : DecidableEq (Scalar ty) := fun i j => match decEq i.val j.val with | isTrue h => isTrue (Scalar.eq_of_val_eq h) | isFalse h => isFalse (Scalar.ne_of_val_ne h) def Scalar.toInt {ty} (n : Scalar ty) : Int := n.val -- Tactic to prove that integers are in bounds -- TODO: use this: https://leanprover.zulipchat.com/#narrow/stream/270676-lean4/topic/instance.20with.20tactic.20autoparam syntax "intlit" : tactic macro_rules | `(tactic| intlit) => `(tactic| apply Scalar.bound_suffices ; decide) -- -- We now define a type class that subsumes the various machine integer types, so -- -- as to write a concise definition for scalar_cast, rather than exhaustively -- -- enumerating all of the possible pairs. We remark that Rust has sane semantics -- -- and fails if a cast operation would involve a truncation or modulo. -- class MachineInteger (t: Type) where -- size: Nat -- val: t -> Fin size -- ofNatCore: (n:Nat) -> LT.lt n size -> t -- set_option hygiene false in -- run_cmd -- for typeName in [`UInt8, `UInt16, `UInt32, `UInt64, `USize].map Lean.mkIdent do -- Lean.Elab.Command.elabCommand (← `( -- namespace $typeName -- instance: MachineInteger $typeName where -- size := size -- val := val -- ofNatCore := ofNatCore -- end $typeName -- )) -- -- Aeneas only instantiates the destination type (`src` is implicit). We rely on -- -- Lean to infer `src`. -- def scalar_cast { src: Type } (dst: Type) [ MachineInteger src ] [ MachineInteger dst ] (x: src): Result dst := -- if h: MachineInteger.val x < MachineInteger.size dst then -- .ret (MachineInteger.ofNatCore (MachineInteger.val x).val h) -- else -- .fail integerOverflow ------------- -- VECTORS -- ------------- def Vec (α : Type u) := { l : List α // List.length l ≤ Usize.max } def vec_new (α : Type u): Vec α := ⟨ [], by apply Scalar.cMax_suffices .Usize; simp ⟩ def vec_len (α : Type u) (v : Vec α) : Usize := let ⟨ v, l ⟩ := v Usize.ofIntCore (List.length v) (by simp [Scalar.min]) l def vec_push_fwd (α : Type u) (_ : Vec α) (_ : α) : Unit := () def vec_push_back (α : Type u) (v : Vec α) (x : α) : Result (Vec α) := let nlen := List.length v.val + 1 if h : nlen ≤ U32.max || nlen ≤ Usize.max then have h : nlen ≤ Usize.max := by simp at * cases System.Platform.numBits_eq <;> unfold System.Platform.numBits at * <;> simp [*] at * <;> try assumption cases h <;> linarith return ⟨ List.concat v.val x, by simp at *; assumption ⟩ else fail maximumSizeExceeded def vec_insert_fwd (α : Type u) (v: Vec α) (i: Usize) (_: α): Result Unit := if i.val < List.length v.val then .ret () else .fail arrayOutOfBounds def vec_insert_back (α : Type u) (v: Vec α) (i: Usize) (x: α): Result (Vec α) := if i.val < List.length v.val then -- TODO: maybe we should redefine a list library which uses integers -- (instead of natural numbers) let i := i.val.toNat .ret ⟨ List.set v.val i x, by have h: List.length v.val ≤ Usize.max := v.property simp [*] at * assumption ⟩ else .fail arrayOutOfBounds def vec_index_to_fin {α : Type u} {v: Vec α} {i: Usize} (h : i.val < List.length v.val) : Fin (List.length v.val) := let j := i.val.toNat let h: j < List.length v.val := by have heq := @Int.toNat_lt (List.length v.val) i.val i.hmin apply heq.mpr assumption ⟨j, h⟩ def vec_index_fwd (α : Type u) (v: Vec α) (i: Usize): Result α := if h: i.val < List.length v.val then let i := vec_index_to_fin h .ret (List.get v.val i) else .fail arrayOutOfBounds def vec_index_back (α : Type u) (v: Vec α) (i: Usize) (_: α): Result Unit := if i.val < List.length v.val then .ret () else .fail arrayOutOfBounds def vec_index_mut_fwd (α : Type u) (v: Vec α) (i: Usize): Result α := if h: i.val < List.length v.val then let i := vec_index_to_fin h .ret (List.get v.val i) else .fail arrayOutOfBounds def vec_index_mut_back (α : Type u) (v: Vec α) (i: Usize) (x: α): Result (Vec α) := if h: i.val < List.length v.val then let i := vec_index_to_fin h .ret ⟨ List.set v.val i x, by have h: List.length v.val ≤ Usize.max := v.property simp [*] at * assumption ⟩ else .fail arrayOutOfBounds ---------- -- MISC -- ---------- @[simp] def mem_replace_fwd (a : Type) (x : a) (_ : a) : a := x @[simp] def mem_replace_back (a : Type) (_ : a) (y : a) : a := y /-- Aeneas-translated function -- useful to reduce non-recursive definitions. Use with `simp [ aeneas ]` -/ register_simp_attr aeneas end Primitives