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Comment LambdaCalculusAndTypeSoundness
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@ -5,13 +5,27 @@
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Require Import Frap.
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Module Ulc.
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Inductive exp : Set :=
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| Var : var -> exp
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| Abs : var -> exp -> exp
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| App : exp -> exp -> exp.
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(* The last few chapters have focused on small programming languages that are
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* representative of the essence of the imperative languages. We now turn to
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* lambda-calculus, the usual representative of functional languages. *)
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Fixpoint subst (rep : exp) (x : string) (e : exp) : exp :=
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Module Ulc.
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(* Programs are expressions, which we evaluate algebraically, rather than
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* executing for side effects. *)
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Inductive exp : Set :=
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| Var (x : var)
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| Abs (x : var) (body : exp)
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(* A function that binds its argument to the given variable, evaluating the
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* body expression *)
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| App (e1 e2 : exp).
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(* Applying a function to an argument *)
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(* Key operation: within [e], changing every occurrence of variable [x] into
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* [rep]. IMPORTANT: we will only apply this operation in contexts where
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* [rep] is *closed*, meaning every [Var] refers to some enclosing [Abs], so
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* as to avoid *variable capture*. See the book proper for a little more
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* discussion. *)
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Fixpoint subst (rep : exp) (x : var) (e : exp) : exp :=
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match e with
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| Var y => if string_dec y x then rep else Var y
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| Abs y e1 => Abs y (if y ==v x then e1 else subst rep x e1)
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@ -21,8 +35,8 @@ Module Ulc.
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(** * Big-step semantics *)
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(** This is the most straightforward way to give semantics to lambda terms:
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* We evaluate any closed term into a value (that is, an [Abs]). *)
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(* This is the most straightforward way to give semantics to lambda terms:
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* We evaluate any closed term into a value (that is, an [Abs]). *)
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Inductive eval : exp -> exp -> Prop :=
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| BigAbs : forall x e,
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eval (Abs x e) (Abs x e)
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@ -32,7 +46,8 @@ Module Ulc.
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-> eval (subst v2 x e1') v
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-> eval (App e1 e2) v.
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(** Note that we omit a [Var] case, since variable terms can't be *closed*. *)
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(* Note that we omit a [Var] case, since variable terms can't be *closed*,
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* and therefore they aren't meaningful as top-level programs. *)
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(** Which terms are values, that is, final results of execution? *)
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Inductive value : exp -> Prop :=
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@ -41,6 +56,7 @@ Module Ulc.
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Hint Constructors eval value.
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(* Every value executes to itself. *)
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Theorem value_eval : forall v,
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value v
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-> eval v v.
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@ -50,7 +66,7 @@ Module Ulc.
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Hint Resolve value_eval.
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(** Actually, let's prove that [eval] only produces values. *)
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(** Conversely, let's prove that [eval] only produces values. *)
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Theorem eval_value : forall e v,
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eval e v
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-> value v.
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@ -60,24 +76,39 @@ Module Ulc.
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Hint Resolve eval_value.
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(* Some notations, to let us write more normal-looking lambda terms *)
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Coercion Var : var >-> exp.
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Notation "\ x , e" := (Abs x e) (at level 50).
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Infix "@" := App (at level 49, left associativity).
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(** * Church Numerals, everyone's favorite example of lambda terms in
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* action *)
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(* Here are two curious definitions. *)
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Definition zero := \"f", \"x", "x".
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Definition plus1 := \"n", \"f", \"x", "f" @ ("n" @ "f" @ "x").
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(* We can build up any natural number [n] as [plus1^n @ zero]. Let's prove
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* that, in fact, these definitions constitute a workable embedding of the
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* natural numbers in lambda-calculus. *)
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(* A term [plus^n @ zero] evaluates to something very close to what this
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* function returns. *)
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Fixpoint canonical' (n : nat) : exp :=
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match n with
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| O => "x"
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| S n' => "f" @ ((\"f", \"x", canonical' n') @ "f" @ "x")
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end.
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(* This missing piece is this wrapper. *)
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Definition canonical n := \"f", \"x", canonical' n.
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(* Let's formalize our definition of what it means to represent a number. *)
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Definition represents (e : exp) (n : nat) :=
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eval e (canonical n).
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(* Zero passes the test. *)
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Theorem zero_ok : represents zero 0.
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Proof.
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unfold zero, represents, canonical.
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@ -85,6 +116,7 @@ Module Ulc.
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econstructor.
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Qed.
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(* So does our successor operation. *)
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Theorem plus1_ok : forall e n, represents e n
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-> represents (plus1 @ e) (S n).
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Proof.
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econstructor.
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Qed.
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(* What's basically going on here? The representation of number [n] is [N]
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* such that, for any function [f]:
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* N(f) = f^n
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* That is, we represent a number as its repeated-composition operator.
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* So, given a number, we can use it to repeat any operation. In particular,
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* to implement addition, we can just repeat [plus1]! *)
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Definition add := \"n", \"m", "n" @ plus1 @ "m".
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(* Our addition works properly on this test case. *)
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Example add_1_2 : exists v,
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eval (add @ (plus1 @ zero) @ (plus1 @ (plus1 @ zero))) v
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/\ eval (plus1 @ (plus1 @ (plus1 @ zero))) v.
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@ -107,12 +146,16 @@ Module Ulc.
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repeat econstructor.
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Qed.
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(* By the way: since [canonical'] doesn't mention variable "m", substituting
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* for "m" has no effect. This fact will come in handy shortly. *)
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Lemma subst_m_canonical' : forall m n,
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subst m "m" (canonical' n) = canonical' n.
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Proof.
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induct n; simplify; equality.
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Qed.
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(* This inductive proof is the workhorse for the next result, so let's skip
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* ahead there. *)
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Lemma add_ok' : forall m n,
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eval
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(subst (\ "f", (\ "x", canonical' m)) "x"
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econstructor.
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Qed.
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(* [add] properly encodes the usual addition. *)
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Theorem add_ok : forall n ne m me,
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represents ne n
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-> represents me m
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apply add_ok'.
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Qed.
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(* Let's repeat the same exercise for multiplication. *)
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Definition mult := \"n", \"m", "n" @ (add @ "m") @ zero.
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Example mult_1_2 : exists v,
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econstructor.
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econstructor.
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rewrite subst_m_canonical'.
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apply add_ok'.
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apply add_ok'. (* Note the recursive appeal to correctness of [add]. *)
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Qed.
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Theorem mult_ok : forall n ne m me,
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(** * Small-step semantics with evaluation contexts *)
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(* We can also port to this setting our small-step semantics style based on
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* evaluation contexts. *)
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Inductive context : Set :=
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| Hole : context
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| App1 : context -> exp -> context
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* *call-by-value* instead of other evaluation strategies. Details are
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* largely beyond our scope here. *)
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(* Compared to the small-step contextual semantics from two chapters back, we
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* skip a [step0] relation, since function application (called "beta
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* reduction") is the only option here. *)
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Inductive step : exp -> exp -> Prop :=
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| ContextBeta : forall c x e v e1 e2,
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value v
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Hint Constructors plug step.
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(** We can move directly to establishing inclusion from basic small steps to contextual small steps. *)
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(* Here we now go through a proof of equivalence between big- and small-step
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* semantics, though we won't spend any further commentary on it. *)
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Lemma step_eval'' : forall v c x e e1 e2 v0,
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value v
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Qed.
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End Ulc.
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(** * Now we turn to a variant of lambda calculus with static type-checking.
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* This variant is called *simply typed* lambda calculus, and *simple* has a
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* technical meaning, which we will explore relaxing in a problem set. *)
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Module Stlc.
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(* Expression syntax *)
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(* We add expression forms for numeric constants and addition. *)
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Inductive exp : Set :=
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| Var (x : var)
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| Const (n : nat)
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| App e2' e2'' => App (subst e1 x e2') (subst e1 x e2'')
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end.
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(* Evaluation contexts *)
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(* Evaluation contexts; note that we added cases for [Plus]. *)
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Inductive context : Set :=
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| Hole : context
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| Plus1 : context -> exp -> context
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|}.
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(* Syntax of types *)
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(* That language is suitable to describe with a static *type system*. Here's
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* our modest, but countably infinite, set of types. *)
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Inductive type : Set :=
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| Nat
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| Fun (dom ran : type).
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| Nat (* Numbers *)
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| Fun (dom ran : type) (* Functions *).
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(* Our typing judgment uses *typing contexts* (not to be confused with
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* evaluation contexts) to map free variables to their types. *)
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(* Our typing relation (also often called a "judgment") uses *typing contexts*
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* (not to be confused with evaluation contexts) to map free variables to
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* their types. Free variables are those that don't refer to enclosing [Abs]
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* binders. *)
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Inductive hasty : fmap var type -> exp -> type -> Prop :=
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| HtVar : forall G x t,
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G $? x = Some t
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Hint Constructors value plug step0 step hasty.
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(* Some notation to make it more pleasant to write programs *)
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Infix "-->" := Fun (at level 60, right associativity).
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Coercion Const : nat >-> exp.
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Infix "^+^" := Plus (at level 50).
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Notation "\ x , e" := (Abs x e) (at level 51).
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Infix "@" := App (at level 49, left associativity).
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(* Some examples of typed programs *)
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Example one_plus_one : hasty $0 (1 ^+^ 1) Nat.
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Proof.
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repeat (econstructor; simplify).
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Qed.
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(** * Some examples of typed programs *)
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(** * Let's prove type soundness first without much automation. *)
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(* Now we're ready for the first of the two key properties, to show that "has
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* type t in the empty typing context" is an invariant. *)
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(* What useful invariants could we prove about programs in this language? How
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* about that, at every point, either they're finished executing or they can
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* take further steps? For instance, a program that tried to add a function
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* to a number would not satisfy that condition, and we call it *stuck*. We
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* want to prove that typed programs can never become stuck. Here's a good
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* invariant to strive for. *)
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Definition unstuck e := value e
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\/ (exists e' : exp, step e e').
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(* Now we're ready for the first of the two key properties to establish that
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* invariant: well-typed programs are never stuck. *)
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Lemma progress : forall e t,
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hasty $0 e t
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-> value e
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\/ (exists e' : exp, step e e').
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-> unstuck e.
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Proof.
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induct 1; simplify; try equality.
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unfold unstuck; induct 1; simplify; try equality.
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left.
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constructor.
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cases (x ==v x'); simplify; eauto.
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Qed.
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(** Raising a typing derivation to a larger typing context *)
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(* This lemma lets us transplant a typing derivation into a new context that
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* includes the old one. *)
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Lemma weakening : forall G e t,
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hasty G e t
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-> forall G', (forall x t, G $? x = Some t -> G' $? x = Some t)
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assumption.
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Qed.
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(* We're almost ready for the main preservation property. Let's prove it first
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* for the more basic [step0] relation. *)
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(* We're almost ready for the other main property. Let's prove it first
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* for the more basic [step0] relation: steps preserve typing. *)
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Lemma preservation0 : forall e1 e2,
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step0 e1 e2
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-> forall t, hasty $0 e1 t
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eassumption.
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Qed.
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(* OK, now we're almost done. *)
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(* OK, now we're almost done. Full steps really do preserve typing! *)
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Lemma preservation : forall e1 e2,
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step e1 e2
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-> forall t, hasty $0 e1 t
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assumption.
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Qed.
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(* Now watch this! Though the syntactic approach to type soundness is usually
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(* Now watch this! Though this syntactic approach to type soundness is usually
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* presented from scratch as a proof technique, it turns out that the two key
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* properties, progress and preservation, are just instances of the same methods
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* we've been applying all along with invariants of transition systems! *)
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Theorem safety : forall e t, hasty $0 e t
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-> invariantFor (trsys_of e)
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(fun e' => value e'
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\/ exists e'', step e' e'').
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-> invariantFor (trsys_of e) unstuck.
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Proof.
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simplify.
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Qed.
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(** * Let's do that again with more automation. *)
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(** * Let's do that again with more automation, whose details are beyond the
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* scope of the book. *)
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Ltac t0 := match goal with
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| [ H : ex _ |- _ ] => destruct H
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Hint Resolve weakening_snazzy.
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(* Replacing a typing context with an equal one has no effect (useful to guide
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* proof search). *)
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* proof search as a hint). *)
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Lemma hasty_change : forall G e t,
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hasty G e t
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-> forall G', G' = G
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