lean4-htt/tests/lean/run/grind_constProp.lean
Joachim Breitner f45c19b428
feat: identify more fixed parameters (#7166)
This PR extends the notion of “fixed parameter” of a recursive function
also to parameters that come after varying function. The main benefit is
that we get nicer induction principles.


Before the definition

```lean
def app (as : List α) (bs : List α) : List α :=
  match as with
  | [] => bs
  | a::as => a :: app as bs
```

produced

```lean
app.induct.{u_1} {α : Type u_1} (motive : List α → List α → Prop) (case1 : ∀ (bs : List α), motive [] bs)
  (case2 : ∀ (bs : List α) (a : α) (as : List α), motive as bs → motive (a :: as) bs) (as bs : List α) : motive as bs
```
and now you get
```lean
app.induct.{u_1} {α : Type u_1} (motive : List α → Prop) (case1 : motive [])
  (case2 : ∀ (a : α) (as : List α), motive as → motive (a :: as)) (as : List α) : motive as
```
because `bs` is fixed throughout the recursion (and can completely be
dropped from the principle).

This is a breaking change when such an induction principle is used
explicitly. Using `fun_induction` makes proof tactics robust against
this change.

The rules for when a parameter is fixed are now:

1. A parameter is fixed if it is reducibly defq to the the corresponding
argument in each recursive call, so we have to look at each such call.
2. With mutual recursion, it is not clear a-priori which arguments of
another function correspond to the parameter. This requires an analysis
with some graph algorithms to determine.
3. A parameter can only be fixed if all parameters occurring in its type
are fixed as well.
This dependency graph on parameters can be different for the different
functions in a recursive group, even leading to cycles.
4. For structural recursion, we kinda want to know the fixed parameters
before investigating which argument to actually recurs on. But once we
have that we may find that we fixed an index of the recursive
parameter’s type, and these cannot be fixed. So we have to un-fix them
5. … and all other fixed parameters that have dependencies on them.

Lean tries to identify the largest set of parameters that satisfies
these criteria.

Note that in a definition like
```lean
def app : List α → List α → List α
  | [], bs => bs
  | a::as, bs => a :: app as bs
```
the `bs` is not considered fixes, as it goes through the matcher
machinery.


Fixes #7027
Fixes #2113
2025-03-04 22:26:20 +00:00

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%reset_grind_attrs
set_option grind.warning false
attribute [grind cases] Or
attribute [grind =] List.length_nil List.length_cons Option.getD
abbrev Var := String
inductive Val where
| int (i : Int)
| bool (b : Bool)
deriving DecidableEq, Repr
instance : Coe Bool Val where
coe b := .bool b
instance : OfNat Val n where
ofNat := .int n
inductive BinOp where
| eq | and | lt | add | sub
deriving Repr
inductive UnaryOp where
| not
deriving Repr
inductive Expr where
| val (v : Val)
| var (x : Var)
| bin (lhs : Expr) (op : BinOp) (rhs : Expr)
| una (op : UnaryOp) (arg : Expr)
deriving Repr
@[simp, grind =] def BinOp.eval : BinOp → Val → Val → Option Val
| .eq, v₁, v₂ => some (.bool (v₁ = v₂))
| .and, .bool b₁, .bool b₂ => some (.bool (b₁ && b₂))
| .lt, .int i₁, .int i₂ => some (.bool (i₁ < i₂))
| .add, .int i₁, .int i₂ => some (.int (i₁ + i₂))
| .sub, .int i₁, .int i₂ => some (.int (i₁ - i₂))
| _, _, _ => none
@[simp, grind =] def UnaryOp.eval : UnaryOp → Val → Option Val
| .not, .bool b => some (.bool !b)
| _, _ => none
inductive Stmt where
| skip
| assign (x : Var) (e : Expr)
| seq (s₁ s₂ : Stmt)
| ite (c : Expr) (e t : Stmt)
| while (c : Expr) (b : Stmt)
infix:150 " ::= " => Stmt.assign
infixr:130 ";; " => Stmt.seq
abbrev State := List (Var × Val)
@[simp] def State.update (σ : State) (x : Var) (v : Val) : State :=
match σ with
| [] => [(x, v)]
| (y, w)::σ => if x = y then (x, v)::σ else (y, w) :: update σ x v
@[simp] def State.find? (σ : State) (x : Var) : Option Val :=
match σ with
| [] => none
| (y, v) :: σ => if x = y then some v else find? σ x
def State.get (σ : State) (x : Var) : Val :=
σ.find? x |>.getD (.int 0)
@[simp] def State.erase (σ : State) (x : Var) : State :=
match σ with
| [] => []
| (y, v) :: σ => if x = y then erase σ x else (y, v) :: erase σ x
section
attribute [local grind] State.update State.find? State.get State.erase
@[simp, grind =] theorem State.find?_nil (x : Var) : find? [] x = none := by
grind
@[simp] theorem State.find?_update_self (σ : State) (x : Var) (v : Val) : (σ.update x v).find? x = some v := by
induction σ using State.update.induct x <;> grind
@[simp] theorem State.find?_update (σ : State) (v : Val) (h : x ≠ z) : (σ.update x v).find? z = σ.find? z := by
induction σ using State.update.induct x <;> grind
@[grind =] theorem State.find?_update_eq (σ : State) (v : Val)
: (σ.update x v).find? z = if x = z then some v else σ.find? z := by
grind only [= find?_update_self, = find?_update, cases Or]
@[grind] theorem State.get_of_find? {σ : State} (h : σ.find? x = some v) : σ.get x = v := by
grind
@[simp] theorem State.find?_erase_self (σ : State) (x : Var) : (σ.erase x).find? x = none := by
induction σ using State.erase.induct x <;> grind
@[simp] theorem State.find?_erase (σ : State) (h : x ≠ z) : (σ.erase x).find? z = σ.find? z := by
induction σ using State.erase.induct x <;> grind
@[simp, grind =] theorem State.find?_erase_eq (σ : State)
: (σ.erase x).find? z = if x = z then none else σ.find? z := by
grind only [= find?_erase_self, = find?_erase, cases Or]
@[grind] theorem State.length_erase_le (σ : State) (x : Var) : (σ.erase x).length ≤ σ.length := by
induction σ using erase.induct x <;> grind
def State.length_erase_lt (σ : State) (x : Var) : (σ.erase x).length < σ.length.succ := by
grind
end
syntax ident " ↦ " term : term
macro_rules
| `($id:ident ↦ $v:term) => `(($(Lean.quote id.getId.toString), $v:term))
example : State.get [x ↦ .int 10, y ↦ .int 20] "x" = .int 10 := rfl
example : State.get [x ↦ 10, y ↦ 20] "x" = 10 := rfl
example : State.get [x ↦ 10, y ↦ true] "y" = true := rfl
@[simp, grind =] def Expr.eval (σ : State) : Expr → Option Val
| val v => some v
| var x => σ.get x
| bin lhs op rhs => match lhs.eval σ, rhs.eval σ with
| some v₁, some v₂ => op.eval v₁ v₂ -- BinOp.eval : BinOp → Val → Val → Option Val
| _, _ => none
| una op arg => match arg.eval σ with
| some v => op.eval v
| _ => none
@[simp, grind =] def evalTrue (c : Expr) (σ : State) : Prop := c.eval σ = some (Val.bool true)
@[simp, grind =] def evalFalse (c : Expr) (σ : State) : Prop := c.eval σ = some (Val.bool false)
section
set_option hygiene false -- HACK: allow forward reference in notation
local notation:60 "(" σ ", " s ")" " ⇓ " σ':60 => Bigstep σ s σ'
inductive Bigstep : State → Stmt → State → Prop where
| skip : (σ, .skip) ⇓ σ
| assign: e.eval σ = some v → (σ, x ::= e) ⇓ σ.update x v
| seq : (σ₁, s₁) ⇓ σ₂ → (σ₂, s₂) ⇓ σ₃ → (σ₁, s₁ ;; s₂) ⇓ σ₃
| ifTrue : evalTrue c σ₁ → (σ₁, t) ⇓ σ₂ → (σ₁, .ite c t e) ⇓ σ₂
| ifFalse : evalFalse c σ₁ → (σ₁, e) ⇓ σ₂ → (σ₁, .ite c t e) ⇓ σ₂
| whileTrue : evalTrue c σ₁ → (σ₁, b) ⇓ σ₂ → (σ₂, .while c b) ⇓ σ₃ → (σ₁, .while c b) ⇓ σ₃
| whileFalse : evalFalse c σ → (σ, .while c b) ⇓ σ
end
notation:60 "(" σ ", " s ")" " ⇓ " σ':60 => Bigstep σ s σ'
/- This proof can be automated using forward reasoning. -/
theorem Bigstem.det (h₁ : (σ, s) ⇓ σ₁) (h₂ : (σ, s) ⇓ σ₂) : σ₁ = σ₂ := by
induction h₁ generalizing σ₂ <;> grind [Bigstep]
abbrev EvalM := ExceptT String (StateM State)
def evalExpr (e : Expr) : EvalM Val := do
match e.eval (← get) with
| some v => return v
| none => throw "failed to evaluate"
@[simp, grind =] def Stmt.eval (stmt : Stmt) (fuel : Nat := 100) : EvalM Unit := do
match fuel with
| 0 => throw "out of fuel"
| fuel+1 =>
match stmt with
| skip => return ()
| assign x e => let v ← evalExpr e; modify fun s => s.update x v
| seq s₁ s₂ => s₁.eval fuel; s₂.eval fuel
| ite c e t =>
match (← evalExpr c) with
| .bool true => e.eval fuel
| .bool false => t.eval fuel
| _ => throw "Boolean expected"
| .while c b =>
match (← evalExpr c) with
| .bool true => b.eval fuel; stmt.eval fuel
| .bool false => return ()
| _ => throw "Boolean expected"
@[simp, grind =] def BinOp.simplify : BinOp → Expr → Expr → Expr
| .eq, .val v₁, .val v₂ => .val (.bool (v₁ = v₂))
| .and, .val (.bool a), .val (.bool b) => .val (.bool (a && b))
| .lt, .val (.int a), .val (.int b) => .val (.bool (a < b))
| .add, .val (.int a), .val (.int b) => .val (.int (a + b))
| .sub, .val (.int a), .val (.int b) => .val (.int (a - b))
| op, a, b => .bin a op b
@[simp, grind =] def UnaryOp.simplify : UnaryOp → Expr → Expr
| .not, .val (.bool b) => .val (.bool !b)
| op, a => .una op a
@[simp, grind =] def Expr.simplify : Expr → Expr
| bin lhs op rhs => op.simplify lhs.simplify rhs.simplify
| una op arg => op.simplify arg.simplify
| e => e
@[grind] theorem BinaryOp.simplify_eval (op : BinOp) : (op.simplify a b).eval σ = (Expr.bin a op b).eval σ := by
grind [BinOp.simplify.eq_def]
@[grind] theorem UnaryOp.simplify_eval (op : UnaryOp) : (op.simplify a).eval σ = (Expr.una op a).eval σ := by
grind [UnaryOp.simplify.eq_def]
/-- info: Try this: (fun_induction Expr.simplify) <;> grind -/
#guard_msgs (info) in
example (e : Expr) : e.simplify.eval σ = e.eval σ := by
try? (max := 1)
@[simp, grind =] theorem Expr.eval_simplify (e : Expr) : e.simplify.eval σ = e.eval σ := by
induction e using Expr.simplify.induct <;> grind
@[simp, grind =] def Stmt.simplify : Stmt → Stmt
| skip => skip
| assign x e => assign x e.simplify
| seq s₁ s₂ => seq s₁.simplify s₂.simplify
| ite c e t =>
match c.simplify with
| .val (.bool true) => e.simplify
| .val (.bool false) => t.simplify
| c' => ite c' e.simplify t.simplify
| .while c b =>
match c.simplify with
| .val (.bool false) => skip
| c' => .while c' b.simplify
theorem Stmt.simplify_correct (h : (σ, s) ⇓ σ') : (σ, s.simplify) ⇓ σ' := by
induction h <;> grind [=_ Expr.eval_simplify, intro Bigstep]
@[simp, grind =] def Expr.constProp (e : Expr) (σ : State) : Expr :=
match e with
| val v => val v
| var x => match σ.find? x with
| some v => val v
| none => var x
| bin lhs op rhs => bin (lhs.constProp σ) op (rhs.constProp σ)
| una op arg => una op (arg.constProp σ)
@[simp, grind =] theorem Expr.constProp_nil (e : Expr) : e.constProp [] = e := by
induction e <;> grind
@[simp, grind =] def State.join (σ₁ σ₂ : State) : State :=
match σ₁ with
| [] => []
| (x, v) :: σ₁ =>
let σ₁' := erase σ₁ x -- Must remove duplicates. Alternative design: carry invariant that input state at constProp has no duplicates
have : (erase σ₁ x).length < σ₁.length.succ := length_erase_lt ..
match σ₂.find? x with
| some w => if v = w then (x, v) :: join σ₁' σ₂ else join σ₁' σ₂
| none => join σ₁' σ₂
termination_by σ₁.length
local notation "⊥" => []
@[simp, grind =] def Stmt.constProp (s : Stmt) (σ : State) : Stmt × State :=
match s with
| skip => (skip, σ)
| assign x e => match (e.constProp σ).simplify with
| (.val v) => (assign x (.val v), σ.update x v)
| e' => (assign x e', σ.erase x)
| seq s₁ s₂ => match s₁.constProp σ with
| (s₁', σ₁) => match s₂.constProp σ₁ with
| (s₂', σ₂) => (seq s₁' s₂', σ₂)
| ite c s₁ s₂ =>
match s₁.constProp σ, s₂.constProp σ with
| (s₁', σ₁), (s₂', σ₂) => (ite (c.constProp σ) s₁' s₂', σ₁.join σ₂)
| .while c b => (.while (c.constProp ⊥) (b.constProp ⊥).1, ⊥)
def State.le (σ₁ σ₂ : State) : Prop :=
∀ ⦃x : Var⦄ ⦃v : Val⦄, σ₁.find? x = some v → σ₂.find? x = some v
infix:50 " ≼ " => State.le
@[grind] theorem State.le_refl (σ : State) : σσ :=
fun _ _ h => h
section
attribute [local grind] State.le State.erase State.find? State.update
theorem State.le_trans : σ₁ ≼ σ₂ → σ₂ ≼ σ₃ → σ₁ ≼ σ₃ := by
grind
@[grind] theorem State.bot_le (σ : State) : ⊥ ≼ σ := by
grind
theorem State.erase_le_cons (h : σ' ≼ σ) : σ'.erase x ≼ ((x, v) :: σ) := by
grind
theorem State.cons_le_cons (h : σ' ≼ σ) : (x, v) :: σ' ≼ (x, v) :: σ := by
grind
theorem State.cons_le_of_eq (h₁ : σ' ≼ σ) (h₂ : σ.find? x = some v) : (x, v) :: σ' ≼ σ := by
grind
@[grind] theorem State.erase_le (σ : State) : σ.erase x ≼ σ := by
grind
@[grind] theorem State.join_le_left (σ₁ σ₂ : State) : σ₁.join σ₂ ≼ σ₁ := by
induction σ₁ using State.join.induct σ₂ <;> grind
@[grind] theorem State.join_le_left_of (h : σ₁ ≼ σ₂) (σ₃ : State) : σ₁.join σ₃ ≼ σ₂ := by
grind
/-- info: Try this: (fun_induction join) <;> grind -/
#guard_msgs (info) in
open State in
example (σ₁ σ₂ : State) : σ₁.join σ₂ ≼ σ₂ := by
try? (max := 1)
@[grind] theorem State.join_le_right (σ₁ σ₂ : State) : σ₁.join σ₂ ≼ σ₂ := by
fun_induction join <;> grind
@[grind] theorem State.join_le_right_of (h : σ₁ ≼ σ₂) (σ₃ : State) : σ₃.join σ₁ ≼ σ₂ := by
grind
@[grind] theorem not_cons_le_nil : ¬ (x, v) :: σ ≼ [] := by
-- Remark: `grind` fails here because it is not capable of "guessing" that we need to instantiate the hypothesis with `x`
intro h; have h := @h x; simp at h
theorem State.eq_bot (h : σ ≼ ⊥) : σ = ⊥ := by
grind [cases Prod, cases List]
theorem State.erase_le_of_le_cons (h : σ' ≼ (x, v) :: σ) : σ'.erase x ≼ σ := by
grind
@[grind] theorem State.erase_le_update (h : σ' ≼ σ) : σ'.erase x ≼ σ.update x v := by
grind
@[grind =>] theorem State.update_le_update (h : σ' ≼ σ) : σ'.update x v ≼ σ.update x v := by
grind
@[grind =>] theorem Expr.eval_constProp_of_sub (e : Expr) (h : σ' ≼ σ) : (e.constProp σ').eval σ = e.eval σ := by
induction e <;> grind
@[grind =>] theorem Expr.eval_constProp_of_eq_of_sub {e : Expr} (h₂ : σ' ≼ σ) : (e.constProp σ').eval σ = e.eval σ := by
grind
@[grind =>] theorem Stmt.constProp_sub (h₁ : (σ₁, s) ⇓ σ₂) (h₂ : σ₁' ≼ σ₁) : (s.constProp σ₁').2 ≼ σ₂ := by
induction h₁ generalizing σ₁' with grind [=_ Expr.eval_simplify]
end
@[grind] theorem Stmt.constProp_correct (h₁ : (σ₁, s) ⇓ σ₂) (h₂ : σ₁' ≼ σ₁) : (σ₁, (s.constProp σ₁').1) ⇓ σ₂ := by
induction h₁ generalizing σ₁' <;> grind [=_ Expr.eval_simplify, intro Bigstep]
@[grind] def Stmt.constPropagation (s : Stmt) : Stmt :=
(s.constProp ⊥).1
theorem Stmt.constPropagation_correct (h : (σ, s) ⇓ σ') : (σ, s.constPropagation) ⇓ σ' := by
grind