frap/DependentInductiveTypes.v

(** Formal Reasoning About Programs <http://adam.chlipala.net/frap/>
  * Supplementary Coq material: dependent inductive types
  * Author: Adam Chlipala
  * License: https://creativecommons.org/licenses/by-nc-nd/4.0/
  * Much of the material comes from CPDT <http://adam.chlipala.net/cpdt/> by the same author. *)

Require Import FrapWithoutSets SubsetTypes.

Set Implicit Arguments.
Set Asymmetric Patterns.


(* Subset types and their relatives help us integrate verification with
 * programming.  Though they reorganize the certified programmer's workflow,
 * they tend not to have deep effects on proofs.  We write largely the same
 * proofs as we would for classical verification, with some of the structure
 * moved into the programs themselves.  It turns out that, when we use dependent
 * types to their full potential, we warp the development and proving process
 * even more than that, picking up "free theorems" to the extent that often a
 * certified program is hardly more complex than its uncertified counterpart in
 * Haskell or ML.
 *
 * In particular, we have only scratched the tip of the iceberg that is Coq's
 * inductive definition mechanism. *)


(** * Length-Indexed Lists *)

(* Many introductions to dependent types start out by showing how to use them to
 * eliminate array bounds checks.  When the type of an array tells you how many
 * elements it has, your compiler can detect out-of-bounds dereferences
 * statically.  Since we are working in a pure functional language, the next
 * best thing is length-indexed lists, which the following code defines. *)

Section ilist.
  Variable A : Set.

  (* Note how now we are sure to write out the type of each constructor in full,
   * instead of using the shorthand notation we favored previously.  The reason
   * is that now the index to the inductive type [ilist] depends on details of a
   * constructor's arguments.  We are also using [Set], the type containing the
   * normal types of programming. *)
  Inductive ilist : nat -> Set :=
  | Nil : ilist O
  | Cons : forall n, A -> ilist n -> ilist (S n).

  (* We see that, within its section, [ilist] is given type [nat -> Set].
   * Previously, every inductive type we have seen has either had plain [Set] as
   * its type or has been a predicate with some type ending in [Prop].  The full
   * generality of inductive definitions lets us integrate the expressivity of
   * predicates directly into our normal programming.
   *
   * The [nat] argument to [ilist] tells us the length of the list.  The types
   * of [ilist]'s constructors tell us that a [Nil] list has length [O] and tha
   *  a [Cons] list has length one greater than the length of its tail.  We may
   * apply [ilist] to any natural number, even natural numbers that are only
   * known at runtime.  It is this breaking of the _phase distinction_ that
   * characterizes [ilist] as _dependently typed_.
   *
   * In expositions of list types, we usually see the length function defined
   * first, but here that would not be a very productive function to code.
   * Instead, let us implement list concatenation. *)

  Fixpoint app n1 (ls1 : ilist n1) n2 (ls2 : ilist n2) : ilist (n1 + n2) :=
    match ls1 with
      | Nil => ls2
      | Cons _ x ls1' => Cons x (app ls1' ls2)
    end.

  (* Past Coq versions signalled an error for this definition.  The code is
   * still invalid within Coq's core language, but current Coq versions
   * automatically add annotations to the original program, producing a valid
   * core program.  These are the annotations on [match] discriminees that we
   * began to study with subset types.  We can rewrite [app] to give the
   * annotations explicitly. *)

  Fixpoint app' n1 (ls1 : ilist n1) n2 (ls2 : ilist n2) : ilist (n1 + n2) :=
    match ls1 in (ilist n1) return (ilist (n1 + n2)) with
      | Nil => ls2
      | Cons _ x ls1' => Cons x (app' ls1' ls2)
    end.

  (* Using [return] alone allowed us to express a dependency of the [match]
   * result type on the _value_ of the discriminee.  What [in] adds to our
   * arsenal is a way of expressing a dependency on the _type_ of the
   * discriminee.  Specifically, the [n1] in the [in] clause above is a
   * _binding occurrence_ whose scope is the [return] clause.
   *
   * We may use [in] clauses only to bind names for the arguments of an
   * inductive type family.  That is, each [in] clause must be an inductive type
   * family name applied to a sequence of underscores and variable names of the
   * proper length.  The positions for _parameters_ to the type family must all
   * be underscores.  Parameters are those arguments declared with section
   * variables or with entries to the left of the first colon in an inductive
   * definition.  They cannot vary depending on which constructor was used to
   * build the discriminee, so Coq prohibits pointless matches on them.  It is
   * those arguments defined in the type to the right of the colon that we may
   * name with [in] clauses.
   *
   * Here's a useful function with a surprisingly subtle type, where the return
   * type depends on the _value_ of the argument. *)

  Fixpoint inject (ls : list A) : ilist (length ls) :=
    match ls with
      | nil => Nil
      | h :: t => Cons h (inject t)
    end.

  (* We can define an inverse conversion and prove that it really is an
   * inverse. *)

  Fixpoint unject n (ls : ilist n) : list A :=
    match ls with
      | Nil => nil
      | Cons _ h t => h :: unject t
    end.

  Theorem inject_inverse : forall ls, unject (inject ls) = ls.
  Proof.
    induct ls; simplify; equality.
  Qed.

  (* Now let us attempt a function that is surprisingly tricky to write.  In ML,
   * the list head function raises an exception when passed an empty list.  With
   * length-indexed lists, we can rule out such invalid calls statically, and
   * here is a first attempt at doing so.  We write [_] for a term that we wish
   * Coq would fill in for us, but we'll have no such luck. *)

  Fail Definition hd n (ls : ilist (S n)) : A :=
    match ls with
    | Nil => _
    | Cons _ h _ => h
    end.

  (* It is not clear what to write for the [Nil] case, so we are stuck before we
   * even turn our function over to the type checker.  We could try omitting the
   * [Nil] case. *)

  Fail Fail Definition hd n (ls : ilist (S n)) : A :=
    match ls with
    | Cons _ h _ => h
    end.

  (* Unlike in ML, we cannot use inexhaustive pattern matching, because there is
   * no conception of a <<Match>> exception to be thrown.  In fact, recent
   * versions of Coq _do_ allow this, by implicit translation to a [match] that
   * considers all constructors; the error message above was generated by an
   * older Coq version.  It is educational to discover for ourselves the
   * encoding that the most recent Coq versions use.  We might try using an [in]
   * clause somehow. *)

  Fail Fail Definition hd n (ls : ilist (S n)) : A :=
    match ls in (ilist (S n)) with
    | Cons _ h _ => h
    end.

  (* Due to some relatively new heuristics, Coq does accept this code, but in
   * general it is not legal to write arbitrary patterns for the arguments of
   * inductive types in [in] clauses.  Only variables are permitted there, in
   * Coq's core language.  A completely general mechanism could only be
   * supported with a solution to the problem of higher-order unification, which
   * is undecidable.
   *
   * Our final, working attempt at [hd] uses an auxiliary function and a
   * surprising [return] annotation. *)

  Definition hd' n (ls : ilist n) :=
    match ls in (ilist n) return (match n with O => unit | S _ => A end) with
      | Nil => tt
      | Cons _ h _ => h
    end.

  Check hd'.

  Definition hd n (ls : ilist (S n)) : A := hd' ls.
End ilist.

(* We annotate our main [match] with a type that is itself a [match].  We write
 * that the function [hd'] returns [unit] when the list is empty and returns the
 * carried type [A] in all other cases.  In the definition of [hd], we just call
 * [hd'].  Because the index of [ls] is known to be nonzero, the type checker
 * reduces the [match] in the type of [hd'] to [A]. *)


(** * The One Rule of Dependent Pattern Matching in Coq *)

(* The rest of this chapter will demonstrate a few other elegant applications of
 * dependent types in Coq.  Readers encountering such ideas for the first time
 * often feel overwhelmed, concluding that there is some magic at work whereby
 * Coq sometimes solves the halting problem for the programmer and sometimes
 * does not, applying automated program understanding in a way far beyond what
 * is found in conventional languages.  The point of this section is to cut off
 * that sort of thinking right now!  Dependent type-checking in Coq follows just
 * a few algorithmic rules, with just one for _dependent pattern matching_ of
 * the kind we met in the previous section.
 *
 * A dependent pattern match is a [match] expression where the type of the
 * overall [match] is a function of the value and/or the type of the
 * _discriminee_, the value being matched on.  In other words, the [match] type
 * _depends_ on the discriminee.
 *
 * When exactly will Coq accept a dependent pattern match as well-typed?  Some
 * other dependently typed languages employ fancy decision procedures to
 * determine when programs satisfy their very expressive types.  The situation
 * in Coq is just the opposite.  Only very straightforward symbolic rules are
 * applied.  Such a design choice has its drawbacks, as it forces programmers to
 * do more work to convince the type checker of program validity.  However, the
 * great advantage of a simple type checking algorithm is that its action on
 * _invalid_ programs is easier to understand!
 *
 * We come now to the one rule of dependent pattern matching in Coq.  A general
 * dependent pattern match assumes this form (with unnecessary parentheses
 * included to make the syntax easier to parse):
 [[
   match E as y in (T x1 ... xn) return U with
     | C z1 ... zm => B
     | ...
   end
 ]]
 * The discriminee is a term [E], a value in some inductive type family [T],
 * which takes [n] arguments.  An [as] clause binds the name [y] to refer to the
 * discriminee [E].  An [in] clause binds an explicit name [xi] for the [i]th
 * argument passed to [T] in the type of [E].
 *
 * We bind these new variables [y] and [xi] so that they may be referred to in
 * [U], a type given in the [return] clause.  The overall type of the [match]
 * will be [U], with [E] substituted for [y], and with each [xi] substituted by
 * the actual argument appearing in that position within [E]'s type.
 *
 * In general, each case of a [match] may have a pattern built up in several
 * layers from the constructors of various inductive type families.  To keep
 * this exposition simple, we will focus on patterns that are just single
 * applications of inductive type constructors to lists of variables.  Coq
 * actually compiles the more general kind of pattern matching into this more
 * restricted kind automatically, so understanding the typing of [match]
 * requires understanding the typing of [match]es lowered to match one
 * constructor at a time.
 *
 * The last piece of the typing rule tells how to type-check a [match] case.  A
 * generic constructor application [C z1 ... zm] has some type [T x1' ... xn'],
 * an application of the type family used in [E]'s type, probably with
 * occurrences of the [zi] variables.  From here, a simple recipe determines
 * what type we will require for the case body [B].  The type of [B] should be
 * [U] with the following two substitutions applied: we replace [y] (the [as]
 * clause variable) with [C z1 ... zm], and we replace each [xi] (the [in]
 * clause variables) with [xi'].  In other words, we specialize the result type
 * based on what we learn based on which pattern has matched the discriminee.
 *
 * This is an exhaustive description of the ways to specify how to take
 * advantage of which pattern has matched!  No other mechanisms come into play.
 * For instance, there is no way to specify that the types of certain free
 * variables should be refined based on which pattern has matched.
 *
 * A few details have been omitted above.  Inductive type families may have both
 * _parameters_ and regular arguments.  Within an [in] clause, a parameter
 * position must have the wildcard [_] written, instead of a variable.  (In
 * general, Coq uses wildcard [_]'s either to indicate pattern variables that
 * will not be mentioned again or to indicate positions where we would like type
 * inference to infer the appropriate terms.)  Furthermore, recent Coq versions
 * are adding more and more heuristics to infer dependent [match] annotations in
 * certain conditions.  The general annotation inference problem is undecidable,
 * so there will always be serious limitations on how much work these heuristics
 * can do.  When in doubt about why a particular dependent [match] is failing to
 * type-check, add an explicit [return] annotation!  At that point, the
 * mechanical rule sketched in this section will provide a complete account of
 * "what the type checker is thinking."  Be sure to avoid the common pitfall of
 * writing a [return] annotation that does not mention any variables bound by
 * [in] or [as]; such a [match] will never refine typing requirements based on
 * which pattern has matched.  (One simple exception to this rule is that, when
 * the discriminee is a variable, that same variable may be treated as if it
 * were repeated as an [as] clause.) *)


(** * A Tagless Interpreter *)

(* A favorite example for motivating the power of functional programming is
 * implementation of a simple expression language interpreter.  In ML and
 * Haskell, such interpreters are often implemented using an algebraic datatype
 * of values, where at many points it is checked that a value was built with the
 * right constructor of the value type.  With dependent types, we can implement a
 * _tagless_ interpreter that both removes this source of runtime inefficiency
 * and gives us more confidence that our implementation is correct. *)

Inductive type : Set :=
| Nat : type
| Bool : type
| Prod : type -> type -> type.

Inductive exp : type -> Set :=
| NConst : nat -> exp Nat
| Plus : exp Nat -> exp Nat -> exp Nat
| Eq : exp Nat -> exp Nat -> exp Bool

| BConst : bool -> exp Bool
| And : exp Bool -> exp Bool -> exp Bool
| If : forall t, exp Bool -> exp t -> exp t -> exp t

| Pair : forall t1 t2, exp t1 -> exp t2 -> exp (Prod t1 t2)
| Fst : forall t1 t2, exp (Prod t1 t2) -> exp t1
| Snd : forall t1 t2, exp (Prod t1 t2) -> exp t2.

(* We have a standard algebraic datatype [type], defining a type language of
 * naturals, Booleans, and product (pair) types.  Then we have the indexed
 * inductive type [exp], where the argument to [exp] tells us the encoded type
 * of an expression.  In effect, we are defining the typing rules for
 * expressions simultaneously with the syntax.
 *
 * We can give types and expressions semantics in a new style, based critically
8 on the chance for _type-level computation_. *)

Fixpoint typeDenote (t : type) : Set :=
  match t with
    | Nat => nat
    | Bool => bool
    | Prod t1 t2 => typeDenote t1 * typeDenote t2
  end%type.

(* The [typeDenote] function compiles types of our object language into "native"
 * Coq types.  It is deceptively easy to implement.  The only new thing we see
 * is the [%type] annotation, which tells Coq to parse the [match] expression
 * using the notations associated with types.  Without this annotation, the [*]
 * would be interpreted as multiplication on naturals, rather than as the
 * product type constructor.  The token [%type] is one example of an identifier
 * bound to a _notation scope delimiter_.
 *
 * We can define a function [expDenote] that is typed in terms of
 * [typeDenote]. *)

Fixpoint expDenote t (e : exp t) : typeDenote t :=
  match e with
    | NConst n => n
    | Plus e1 e2 => expDenote e1 + expDenote e2
    | Eq e1 e2 => if eq_nat_dec (expDenote e1) (expDenote e2) then true else false

    | BConst b => b
    | And e1 e2 => expDenote e1 && expDenote e2
    | If _ e' e1 e2 => if expDenote e' then expDenote e1 else expDenote e2

    | Pair _ _ e1 e2 => (expDenote e1, expDenote e2)
    | Fst _ _ e' => fst (expDenote e')
    | Snd _ _ e' => snd (expDenote e')
  end.

(* Despite the fancy type, the function definition is routine.  In fact, it is
 * less complicated than what we would write in ML or Haskell 98, since we do
 * not need to worry about pushing final values in and out of an algebraic
 * datatype.  The only unusual thing is the use of an expression of the form
 * [if E then true else false] in the [Eq] case.  Remember that [eq_nat_dec] has
 * a rich dependent type, rather than a simple Boolean type.  Coq's native [if]
 * is overloaded to work on a test of any two-constructor type, so we can use
 * [if] to build a simple Boolean from the [sumbool] that [eq_nat_dec] returns.
 *
 * We can implement our old favorite, a constant-folding function, and prove it
 * correct.  It will be useful to write a function [pairOut] that checks if an
 * [exp] of [Prod] type is a pair, returning its two components if so.
 * Unsurprisingly, a first attempt leads to a type error. *)

Fail Definition pairOut t1 t2 (e : exp (Prod t1 t2)) : option (exp t1 * exp t2) :=
  match e in (exp (Prod t1 t2)) return option (exp t1 * exp t2) with
    | Pair _ _ e1 e2 => Some (e1, e2)
    | _ => None
  end.

(* We run again into the problem of not being able to specify non-variable
 * arguments in [in] clauses (and this time Coq's avant-garde heuristics don't
 * save us).  The problem would just be hopeless without a use of an [in]
 * clause, though, since the result type of the [match] depends on an argument
 * to [exp].  Our solution will be to use a more general type, as we did for
 * [hd].  First, we define a type-valued function to use in assigning a type to
 * [pairOut]. *)

Definition pairOutType (t : type) := option (match t with
                                               | Prod t1 t2 => exp t1 * exp t2
                                               | _ => unit
                                             end).

(* When passed a type that is a product, [pairOutType] returns our final desired
 * type.  On any other input type, [pairOutType] returns the harmless
 * [option unit], since we do not care about extracting components of non-pairs.
 * Now [pairOut] is easy to write. *)

Definition pairOut t (e : exp t) :=
  match e in (exp t) return (pairOutType t) with
    | Pair _ _ e1 e2 => Some (e1, e2)
    | _ => None
  end.

(* With [pairOut] available, we can write [cfold] in a straightforward way.
 * There are really no surprises beyond that Coq verifies that this code has
 * such an expressive type, given the small annotation burden.  In some places,
 * we see that Coq's [match] annotation inference is too smart for its own
 * good, and we have to turn that inference off with explicit [return]
 * clauses. *)

Fixpoint cfold t (e : exp t) : exp t :=
  match e with
    | NConst n => NConst n
    | Plus e1 e2 =>
      let e1' := cfold e1 in
      let e2' := cfold e2 in
      match e1', e2' return exp Nat with
        | NConst n1, NConst n2 => NConst (n1 + n2)
        | _, _ => Plus e1' e2'
      end
    | Eq e1 e2 =>
      let e1' := cfold e1 in
      let e2' := cfold e2 in
      match e1', e2' return exp Bool with
        | NConst n1, NConst n2 => BConst (if eq_nat_dec n1 n2 then true else false)
        | _, _ => Eq e1' e2'
      end

    | BConst b => BConst b
    | And e1 e2 =>
      let e1' := cfold e1 in
      let e2' := cfold e2 in
      match e1', e2' return exp Bool with
        | BConst b1, BConst b2 => BConst (b1 && b2)
        | _, _ => And e1' e2'
      end
    | If _ e e1 e2 =>
      let e' := cfold e in
      match e' with
        | BConst true => cfold e1
        | BConst false => cfold e2
        | _ => If e' (cfold e1) (cfold e2)
      end

    | Pair _ _ e1 e2 => Pair (cfold e1) (cfold e2)
    | Fst _ _ e =>
      let e' := cfold e in
      match pairOut e' with
        | Some p => fst p
        | None => Fst e'
      end
    | Snd _ _ e =>
      let e' := cfold e in
      match pairOut e' with
        | Some p => snd p
        | None => Snd e'
      end
  end.

(* The correctness theorem for [cfold] turns out to be easy to prove, once we
 * get over one serious hurdle. *)

Theorem cfold_correct : forall t (e : exp t), expDenote e = expDenote (cfold e).
Proof.
  induct e; simplify; try equality.

  (* We would like to do a case analysis on [cfold e1], and we attempt to do so
   * in the way that has worked so far. *)
  Fail cases (cfold e1).
  (* A nasty error message greets us!  The book's [cases] tactic could be
   * extended to handle this case, but we don't generally need to do case
   * analysis on dependently typed values, outside the one excursion of this
   * "bonus" source file.  Still, the book defines a tactic [dep_case] that
   * mostly appeals to built-in tactic [dependent destruction]. *)

  dep_cases (cfold e1).

  (* Incidentally, general and fully precise case analysis on dependently typed
   * variables is undecidable, as witnessed by a simple reduction from the
   * known-undecidable problem of higher-order unification, which has come up a
   * few times already.  The tactic [dep_cases] makes a best effort to handle
   * some common cases.
   *
   * This successfully breaks the subgoal into 5 new subgoals, one for each
   * constructor of [exp] that could produce an [exp Nat].  Note that
   * [dep_cases] is successful in ruling out the other cases automatically, in
   * effect automating some of the work that we have done manually in
   * implementing functions like [hd] and [pairOut].
   *
   * This is the only new trick we need to learn to complete the proof.  We can
   * back up and give a short, automated proof. *)

  Restart.

  induct e; simplify;
    repeat (match goal with
              | [ |- context[match cfold ?E with NConst _ => _ | _ => _ end] ] =>
                dep_cases (cfold E)
              | [ |- context[match pairOut (cfold ?E) with Some _ => _
                               | None => _ end] ] =>
                dep_cases (cfold E)
              | [ |- context[if ?E then _ else _] ] => cases E
              | [ H : _ = _ |- _ ] => rewrite H
            end; simplify); try equality.
Qed.

(* With this example, we get a first taste of how to build automated proofs that
 * adapt automatically to changes in function definitions. *)


(** * Dependently Typed Red-Black Trees *)

(* Red-black trees are a favorite purely functional data structure with an
 * interesting invariant.  We can use dependent types to guarantee that
 * operations on red-black trees preserve the invariant.  For simplicity, we
 * specialize our red-black trees to represent sets of [nat]s. *)

Inductive color : Set := Red | Black.

Inductive rbtree : color -> nat -> Set :=
| Leaf : rbtree Black 0
| RedNode : forall n, rbtree Black n -> nat -> rbtree Black n -> rbtree Red n
| BlackNode : forall c1 c2 n, rbtree c1 n -> nat -> rbtree c2 n -> rbtree Black (S n).

(* A value of type [rbtree c d] is a red-black tree whose root has color [c] and
 * that has black depth [d].  The latter property means that there are exactly
 * [d] black-colored nodes on any path from the root to a leaf. *)

(* At first, it can be unclear that this choice of type indices tracks any
 * useful property.  To convince ourselves, we will prove that every red-black
 * tree is balanced.  We will phrase our theorem in terms of a depth-calculating
 * function that ignores the extra information in the types.  It will be useful
 * to parameterize this function over a combining operation, so that we can
 * reuse the same code to calculate the minimum or maximum height among all
 * paths from root to leaf. *)

Section depth.
  Variable f : nat -> nat -> nat.

  Fixpoint depth c n (t : rbtree c n) : nat :=
    match t with
      | Leaf => 0
      | RedNode _ t1 _ t2 => S (f (depth t1) (depth t2))
      | BlackNode _ _ _ t1 _ t2 => S (f (depth t1) (depth t2))
    end.
End depth.

(* Our proof of balanced-ness decomposes naturally into a lower bound and an
 * upper bound.  We prove the lower bound first.  Unsurprisingly, a tree's black
 * depth provides such a bound on the minimum path length. *)

Theorem depth_min : forall c n (t : rbtree c n), depth min t >= n.
Proof.
  induction t; simplify; linear_arithmetic.
Qed.

(* There is an analogous upper-bound theorem based on black depth.
 * Unfortunately, a symmetric proof script does not suffice to establish it. *)

Theorem depth_max : forall c n (t : rbtree c n), depth max t <= 2 * n + 1.
Proof.
  induction t; simplify; try linear_arithmetic.

  (* In the remaining goal, we see that [IHt1] is _almost_ the fact we need, but
   * it is not quite strong enough.  We will need to strengthen our induction
   * hypothesis to get the proof to go through. *)
Abort.

(* In particular, we prove a lemma that provides a stronger upper bound for
 * trees with black root nodes.  We got stuck above in a case about a red root
 * node.  Since red nodes have only black children, our IH strengthening will
 * enable us to finish the proof. *)

Lemma depth_max' : forall c n (t : rbtree c n), match c with
                                                  | Red => depth max t <= 2 * n + 1
                                                  | Black => depth max t <= 2 * n
                                                end.
Proof.
  induction t; simplify;
    repeat match goal with
           | [ _ : context[match ?C with Red => _ | Black => _ end] |- _ ] =>
             cases C
           end; linear_arithmetic.
Qed.

(* The original theorem follows easily from the lemma. *)

Theorem depth_max : forall c n (t : rbtree c n), depth max t <= 2 * n + 1.
Proof.
  simplify.
  pose proof (depth_max' t).
  cases c; simplify; linear_arithmetic.
Qed.

(* The final balance theorem establishes that the minimum and maximum path
 * lengths of any tree are within a factor of two of each other. *)

Theorem balanced : forall c n (t : rbtree c n), 2 * depth min t + 1 >= depth max t.
Proof.
  simplify.
  pose proof (depth_min t).
  pose proof (depth_max t).
  linear_arithmetic.
Qed.

(* Now we are ready to implement an example operation on our trees, insertion.
 * Insertion can be thought of as breaking the tree invariants locally but then
 * rebalancing.  In particular, in intermediate states we find red nodes that
 * may have red children.  The type [rtree] captures the idea of such a node,
 * continuing to track black depth as a type index. *)

Inductive rtree : nat -> Set :=
| RedNode' : forall c1 c2 n, rbtree c1 n -> nat -> rbtree c2 n -> rtree n.

(* Before starting to define [insert], we define predicates capturing when a
 * data value is in the set represented by a normal or possibly invalid tree. *)

Section present.
  Variable x : nat.

  Fixpoint present c n (t : rbtree c n) : Prop :=
    match t with
      | Leaf => False
      | RedNode _ a y b => present a \/ x = y \/ present b
      | BlackNode _ _ _ a y b => present a \/ x = y \/ present b
    end.

  Definition rpresent n (t : rtree n) : Prop :=
    match t with
      | RedNode' _ _ _ a y b => present a \/ x = y \/ present b
    end.
End present.

(* Insertion relies on two balancing operations.  It will be useful to give types
 * to these operations using a relative of the subset types from last chapter.
 * While subset types let us pair a value with a proof about that value, here we
 * want to pair a value with another non-proof dependently typed value.  The
 * [sigT] type fills this role. *)

Locate "{ _ : _ & _ }".
Print sigT.

(* It will be helpful to define a concise notation for the constructor of
 * [sigT]. *)

Notation "{< x >}" := (existT _ _ x).

(* Each balance function is used to construct a new tree whose keys include the
 * keys of two input trees, as well as a new key.  One of the two input trees
 * may violate the red-black alternation invariant (that is, it has an [rtree]
 * type), while the other tree is known to be valid.  Crucially, the two input
 * trees have the same black depth.
 *
 * A balance operation may return a tree whose root is of either color.  Thus,
 * we use a [sigT] type to package the result tree with the color of its root.
 * Here is the definition of the first balance operation, which applies when the
 * possibly invalid [rtree] belongs to the left of the valid [rbtree].
 *
 * A quick word of encouragement: After writing this code, even I do not
 * understand the precise details of how balancing works!  I consulted Chris
 * Okasaki's paper "Red-Black Trees in a Functional Setting" and transcribed the
 * code to use dependent types.  Luckily, the details are not so important here;
 * types alone will tell us that insertion preserves balanced-ness, and we will
 * prove that insertion produces trees containing the right keys.*)

Definition balance1 n (a : rtree n) (data : nat) c2 :=
  match a in rtree n return rbtree c2 n
    -> { c : color & rbtree c (S n) } with
    | RedNode' _ c0 _ t1 y t2 =>
      match t1 in rbtree c n return rbtree c0 n -> rbtree c2 n
        -> { c : color & rbtree c (S n) } with
        | RedNode _ a x b => fun c d =>
          {<RedNode (BlackNode a x b) y (BlackNode c data d)>}
        | t1' => fun t2 =>
          match t2 in rbtree c n return rbtree Black n -> rbtree c2 n
            -> { c : color & rbtree c (S n) } with
            | RedNode _ b x c => fun a d =>
              {<RedNode (BlackNode a y b) x (BlackNode c data d)>}
            | b => fun a t => {<BlackNode (RedNode a y b) data t>}
          end t1'
      end t2
  end.

(* We apply a trick that I call the _convoy pattern_.  Recall that [match]
 * annotations only make it possible to describe a dependence of a [match]
 * _result type_ on the discriminee.  There is no automatic refinement of the
 * types of free variables.  However, it is possible to effect such a refinement
 * by finding a way to encode free variable type dependencies in the [match]
 * result type, so that a [return] clause can express the connection.
 *
 * In particular, we can extend the [match] to return _functions over the free
 * variables whose types we want to refine_.  In the case of [balance1], we only
 * find ourselves wanting to refine the type of one tree variable at a time.  We
 * match on one subtree of a node, and we want the type of the other subtree to
 * be refined based on what we learn.  We indicate this with a [return] clause
 * starting like [rbtree _ n -> ...], where [n] is bound in an [in] pattern.
 * Such a [match] expression is applied immediately to the "old version" of the
 * variable to be refined, and the type checker is happy.
 *
 * Here is the symmetric function [balance2], for cases where the possibly
 * invalid tree appears on the right rather than on the left. *)

Definition balance2 n (a : rtree n) (data : nat) c2 :=
  match a in rtree n return rbtree c2 n -> { c : color & rbtree c (S n) } with
    | RedNode' _ c0 _ t1 z t2 =>
      match t1 in rbtree c n return rbtree c0 n -> rbtree c2 n
        -> { c : color & rbtree c (S n) } with
        | RedNode _ b y c => fun d a =>
          {<RedNode (BlackNode a data b) y (BlackNode c z d)>}
        | t1' => fun t2 =>
          match t2 in rbtree c n return rbtree Black n -> rbtree c2 n
            -> { c : color & rbtree c (S n) } with
            | RedNode _ c z' d => fun b a =>
              {<RedNode (BlackNode a data b) z (BlackNode c z' d)>}
            | b => fun a t => {<BlackNode t data (RedNode a z b)>}
          end t1'
      end t2
  end.

(* Now we are almost ready to get down to the business of writing an [insert]
 * function.  First, we enter a section that declares a variable [x], for the
 * key we want to insert. *)

Section insert.
  Variable x : nat.

  (* Most of the work of insertion is done by a helper function [ins], whose
   * return types are expressed using a type-level function [insResult]. *)

  Definition insResult c n :=
    match c with
      | Red => rtree n
      | Black => { c' : color & rbtree c' n }
    end.

  (* That is, inserting into a tree with root color [c] and black depth [n], the
   * variety of tree we get out depends on [c].  If we started with a red root,
   * then we get back a possibly invalid tree of depth [n].  If we started with
   * a black root, we get back a valid tree of depth [n] with a root node of an
   * arbitrary color.
   *
   * Here is the definition of [ins].  Again, we do not want to dwell on the
   * functional details. *)

  Fixpoint ins c n (t : rbtree c n) : insResult c n :=
    match t with
      | Leaf => {< RedNode Leaf x Leaf >}
      | RedNode _ a y b =>
        if le_lt_dec x y
          then RedNode' (projT2 (ins a)) y b
          else RedNode' a y (projT2 (ins b))
      | BlackNode c1 c2 _ a y b =>
        if le_lt_dec x y
          then
            match c1 return insResult c1 _ -> _ with
              | Red => fun ins_a => balance1 ins_a y b
              | _ => fun ins_a => {< BlackNode (projT2 ins_a) y b >}
            end (ins a)
          else
            match c2 return insResult c2 _ -> _ with
              | Red => fun ins_b => balance2 ins_b y a
              | _ => fun ins_b => {< BlackNode a y (projT2 ins_b) >}
            end (ins b)
    end.

  (* The one new trick is a variation of the convoy pattern.  In each of the
   * last two pattern matches, we want to take advantage of the typing
   * connection between the trees [a] and [b].  We might naively apply the
   * convoy pattern directly on [a] in the first [match] and on [b] in the
   * second.  This satisfies the type checker per se, but it does not satisfy
   * the termination checker.  Inside each [match], we would be calling [ins]
   * recursively on a locally bound variable.  The termination checker is not
   * smart enough to trace the dataflow into that variable, so the checker does
   * not know that this recursive argument is smaller than the original
   * argument.  We make this fact clearer by applying the convoy pattern on _theorem
   * result of a recursive call_, rather than just on that call's argument.
   *
   * Finally, we are in the home stretch of our effort to define [insert].  We
   * just need a few more definitions of non-recursive functions.  First, we
   * need to give the final characterization of [insert]'s return type.
   * Inserting into a red-rooted tree gives a black-rooted tree where black
   * depth has increased, and inserting into a black-rooted tree gives a tree
   * where black depth has stayed the same and where the root is an arbitrary
   * color. *)

  Definition insertResult c n :=
    match c with
      | Red => rbtree Black (S n)
      | Black => { c' : color & rbtree c' n }
    end.

  (* A simple clean-up procedure translates [insResult]s into
   * [insertResult]s. *)

  Definition makeRbtree {c n} : insResult c n -> insertResult c n :=
    match c with
      | Red => fun r =>
        match r with
          | RedNode' _ _ _ a x b => BlackNode a x b
        end
      | Black => fun r => r
    end.

  (* Finally, we define [insert] as a simple composition of [ins] and
   * [makeRbtree]. *)

  Definition insert c n (t : rbtree c n) : insertResult c n :=
    makeRbtree (ins t).

  (* As we noted earlier, the type of [insert] guarantees that it outputs
   * balanced trees whose depths have not increased too much.  We also want to
   * know that [insert] operates correctly on trees interpreted as finite sets,
   * so we finish this section with a proof of that fact. *)

  Section present.
    Variable z : nat.

    (* The variable [z] stands for an arbitrary key.  We will reason about [z]'s
     * presence in particular trees.  As usual, outside the section the theorems
     * we prove will quantify over all possible keys, giving us the facts we wanted.
     *
     * We start by proving the correctness of the balance operations.  It is
     * useful to define a custom tactic [present_balance] that encapsulates the
     * reasoning common to the two proofs. *)

    Ltac present_balance :=
      simplify;
      repeat (match goal with
                | [ _ : context[match ?T with Leaf => _ | _ => _ end] |- _ ] =>
                  dep_cases T
                | [ |- context[match ?T with Leaf => _ | _ => _ end] ] => dep_cases T
              end; simplify); propositional.

    (* The balance correctness theorems are simple first-order logic
     * equivalences, where we use the function [projT2] to project the payload
     * of a [sigT] value. *)

    Lemma present_balance1 : forall n (a : rtree n) (y : nat) c2 (b : rbtree c2 n),
      present z (projT2 (balance1 a y b))
      <-> rpresent z a \/ z = y \/ present z b.
    Proof.
      simplify; cases a; present_balance.
    Qed.

    Lemma present_balance2 : forall n (a : rtree n) (y : nat) c2 (b : rbtree c2 n),
      present z (projT2 (balance2 a y b))
      <-> rpresent z a \/ z = y \/ present z b.
    Proof.
      simplify; cases a; present_balance.
    Qed.

    (* To state the theorem for [ins], it is useful to define a new type-level
     * function, since [ins] returns different result types based on the type
     * indices passed to it.  Recall that [x] is the section variable standing
     * for the key we are inserting. *)

    Definition present_insResult c n :=
      match c return (rbtree c n -> insResult c n -> Prop) with
        | Red => fun t r => rpresent z r <-> z = x \/ present z t
        | Black => fun t r => present z (projT2 r) <-> z = x \/ present z t
      end.

    (* Now the statement and proof of the [ins] correctness theorem are
     * straightforward, if verbose.  We proceed by induction on the structure of
     * a tree, followed by finding case-analysis opportunities on expressions we
     * see being analyzed in [if] or [match] expressions.  After that, we
     * pattern-match to find opportunities to use the theorems we proved about
     * balancing.  Finally, we identify two variables that are asserted by some
     * hypothesis to be equal, and we use that hypothesis to replace one
     * variable with the other everywhere. *)

    Theorem present_ins : forall c n (t : rbtree c n),
      present_insResult t (ins t).
    Proof.
      induct t; simplify;
        repeat (match goal with
                  | [ _ : context[if ?E then _ else _] |- _ ] => cases E
                  | [ |- context[if ?E then _ else _] ] => cases E
                  | [ _ : context[match ?C with Red => _ | Black => _ end]
                      |- _ ] => cases C
                end; simplify);
        try match goal with
              | [ _ : context[balance1 ?A ?B ?C] |- _ ] =>
                pose proof (present_balance1 A B C)
            end;
        try match goal with
              | [ _ : context[balance2 ?A ?B ?C] |- _ ] =>
                pose proof (present_balance2 A B C)
            end;
        try match goal with
              | [ |- context[balance1 ?A ?B ?C] ] =>
                pose proof (present_balance1 A B C)
            end;
        try match goal with
              | [ |- context[balance2 ?A ?B ?C] ] =>
                pose proof (present_balance2 A B C)
            end;
        simplify; propositional.
    Qed.

    (* The hard work is done.  The most readable way to state correctness of
     * [insert] involves splitting the property into two color-specific
     * theorems.  We write a tactic to encapsulate the reasoning steps that workhorse
     * to establish both facts. *)

    Ltac present_insert :=
      unfold insert; intros n t;
        pose proof (present_ins t); simplify;
          cases (ins t); propositional.

    Theorem present_insert_Red : forall n (t : rbtree Red n),
      present z (insert t)
      <-> (z = x \/ present z t).
    Proof.
      present_insert.
    Qed.

    Theorem present_insert_Black : forall n (t : rbtree Black n),
      present z (projT2 (insert t))
      <-> (z = x \/ present z t).
    Proof.
      present_insert.
    Qed.
  End present.
End insert.

(* We can generate executable OCaml code with the command
 * [Recursive Extraction insert], which also automatically outputs the OCaml
 * versions of all of [insert]'s dependencies.  In our previous extractions, we
 * wound up with clean OCaml code.  Here, we find uses of <<Obj.magic>>, OCaml's
 * unsafe cast operator for tweaking the apparent type of an expression in an
 * arbitrary way.  Casts appear for this example because the return type of
 * [insert] depends on the _value_ of the function's argument, a pattern that
 * OCaml cannot handle.  Since Coq's type system is much more expressive than
 * OCaml's, such casts are unavoidable in general.  Since the OCaml type-checker
 * is no longer checking full safety of programs, we must rely on Coq's
 * extractor to use casts only in provably safe ways. *)

Recursive Extraction insert.


(** * A Certified Regular Expression Matcher *)

(* Another interesting example is regular expressions with dependent types that
 * express which predicates over strings particular regexps implement.  We can
 * then assign a dependent type to a regular expression matching function,
 * guaranteeing that it always decides the string property that we expect it to
 * decide.
 *
 * Before defining the syntax of expressions, it is helpful to define an
 * inductive type capturing the meaning of the Kleene star.  That is, a string
 * [s] matches regular expression [star e] if and only if [s] can be decomposed
 * into a sequence of substrings that all match [e].  We use Coq's string
 * support, which comes through a combination of the [String] library and some
 * parsing notations built into Coq.  Operators like [++] and functions like
 * [length] that we know from lists are defined again for strings.  Notation
 * scopes help us control which versions we want to use in particular
 * contexts. *)

Require Import Ascii String.
Open Scope string_scope.

Section star.
  Variable P : string -> Prop.

  Inductive star : string -> Prop :=
  | Empty : star ""
  | Iter : forall s1 s2,
    P s1
    -> star s2
    -> star (s1 ++ s2).
End star.

(* Now we can make our first attempt at defining a [regexp] type that is indexed by
 * predicates on strings, such that the index of a [regexp] tells us which language
 * (string predicate) it recognizes.  Here is a reasonable-looking definition
 * that is restricted to constant characters and concatenation.  We use the
 * constructor [String], which is the analogue of list cons for the type
 * [string], where [""] is like list nil. *)

Fail Inductive regexp : (string -> Prop) -> Set :=
| Char : forall ch : ascii,
  regexp (fun s => s = String ch "")
| Concat : forall (P1 P2 : string -> Prop) (r1 : regexp P1) (r2 : regexp P2),
  regexp (fun s => exists s1, exists s2, s = s1 ++ s2 /\ P1 s1 /\ P2 s2).

(* Coq complains that this "large inductive type" must be in [Type].  What is a
 * large inductive type?  In Coq, it is an inductive type that has a constructor
 * that quantifies over some type of type [Type].  We have not worked with
 * [Type] very much to this point.  Every term of CIC has a type, including [Set]
 * and [Prop], which are assigned type [Type].  The type [string -> Prop] from
 * the failed definition also has type [Type].
 *
 * It turns out that allowing large inductive types in [Set] leads to
 * contradictions when combined with certain kinds of classical logic reasoning.
 * Thus, by default, such types are ruled out.  There is a simple fix for our
 * [regexp] definition, which is to place our new type in [Type].  While fixing
 * the problem, we also expand the list of constructors to cover the remaining
 * regular-expression operators. *)

Inductive regexp : (string -> Prop) -> Type :=
| Char : forall ch : ascii,
  regexp (fun s => s = String ch "")
| Concat : forall P1 P2 (r1 : regexp P1) (r2 : regexp P2),
  regexp (fun s => exists s1, exists s2, s = s1 ++ s2 /\ P1 s1 /\ P2 s2)
| Or : forall P1 P2 (r1 : regexp P1) (r2 : regexp P2),
  regexp (fun s => P1 s \/ P2 s)
| Star : forall P (r : regexp P),
  regexp (star P).

(* Many theorems about strings are useful for implementing a certified regexp
 * matcher, and few of them are in the [String] library.  Here they are.  Feel
 * free to resume reading at "BOREDOM'S END". *)

Lemma length_emp : length "" <= 0.
Proof.
  auto.
Qed.

Lemma append_emp : forall s, s = "" ++ s.
Proof.
  auto.
Qed.

Ltac substring :=
  simplify;
  repeat match goal with
           | [ |- context[match ?N with O => _ | S _ => _ end] ] =>
             destruct N; simplify
         end; try linear_arithmetic; eauto; try equality.

Hint Resolve le_n_S.

Lemma substring_le : forall s n m,
  length (substring n m s) <= m.
Proof.
  induct s; substring.
Qed.

Lemma substring_all : forall s,
  substring 0 (length s) s = s.
Proof.
  induct s; substring.
Qed.

Lemma substring_none : forall s n,
  substring n 0 s = "".
Proof.
  induct s; substring.
Qed.

Hint Rewrite substring_all substring_none.

Lemma substring_split : forall s m,
  substring 0 m s ++ substring m (length s - m) s = s.
Proof.
  induct s; substring.
Qed.

Lemma length_app1 : forall s1 s2,
  length s1 <= length (s1 ++ s2).
Proof.
  induct s1; substring.
Qed.

Hint Resolve length_emp append_emp substring_le substring_split length_app1.

Lemma substring_app_fst : forall s2 s1 n,
  length s1 = n
  -> substring 0 n (s1 ++ s2) = s1.
Proof.
  induct s1; simplify; subst; simplify; try equality.
  rewrite IHs1; auto.
Qed.

Hint Rewrite <- minus_n_O.

Lemma substring_app_snd : forall s2 s1 n,
  length s1 = n
  -> substring n (length (s1 ++ s2) - n) (s1 ++ s2) = s2.
Proof.
  induct s1; simplify; subst; simplify; auto.
Qed.

Hint Rewrite substring_app_fst substring_app_snd using solve [trivial].

(* BOREDOM'S END! *)

(* A few auxiliary functions help us in our final matcher definition.  The
 * function [split] will be used to implement the regexp concatenation case.
 * First, a convenient notation for dependently typed Booleans. *)

Section sumbool_and.
  Variables P1 Q1 P2 Q2 : Prop.

  Variable x1 : {P1} + {Q1}.
  Variable x2 : {P2} + {Q2}.

  Definition sumbool_and : {P1 /\ P2} + {Q1 \/ Q2} :=
    match x1 with
      | left HP1 =>
        match x2 with
          | left HP2 => left _ (conj HP1 HP2)
          | right HQ2 => right _ (or_intror _ HQ2)
        end
      | right HQ1 => right _ (or_introl _ HQ1)
    end.
End sumbool_and.

Infix "&&" := sumbool_and (at level 40, left associativity).

Hint Extern 1 (_ <= _) => linear_arithmetic.

Section split.
  Variables P1 P2 : string -> Prop.
  Variable P1_dec : forall s, {P1 s} + {~ P1 s}.
  Variable P2_dec : forall s, {P2 s} + {~ P2 s}.
  (* We require a choice of two arbitrary string predicates and functions for
   * deciding them. *)

  Variable s : string.
  (* Our computation will take place relative to a single fixed string, so it is
   * easiest to make it a [Variable], rather than an explicit argument to our
   * functions. *)

  (* The function [split'] is the workhorse behind [split].  It searches through
   * the possible ways of splitting [s] into two pieces, checking the two
   * predicates against each such pair.  The execution of [split'] progresses
   * right-to-left, from splitting all of [s] into the first piece to splitting
   * all of [s] into the second piece.  It takes an extra argument, [n], which
   * specifies how far along we are in this search process. *)

  Definition split' : forall n : nat, n <= length s
    -> {exists s1, exists s2, length s1 <= n /\ s1 ++ s2 = s /\ P1 s1 /\ P2 s2}
    + {forall s1 s2, length s1 <= n -> s1 ++ s2 = s -> ~ P1 s1 \/ ~ P2 s2}.
    refine (fix F (n : nat) : n <= length s
      -> {exists s1, exists s2, length s1 <= n /\ s1 ++ s2 = s /\ P1 s1 /\ P2 s2}
      + {forall s1 s2, length s1 <= n -> s1 ++ s2 = s -> ~ P1 s1 \/ ~ P2 s2} :=
      match n with
        | O => fun _ => Reduce (P1_dec "" && P2_dec s)
        | S n' => fun _ => (P1_dec (substring 0 (S n') s)
            && P2_dec (substring (S n') (length s - S n') s))
          || F n' _
      end); clear F; simplify;
      repeat match goal with
             | [ H : exists x, _ |- _ ] => invert H
             end; propositional; eauto 7;
      try match goal with
          | [ _ : length ?S <= 0 |- _ ] => cases S; simplify
          | [ _ : length ?S' <= S ?N |- _ ] => cases (length S' ==n S N)
          end; subst; simplify; try equality; try linear_arithmetic; eauto.
  Defined.

  (* There is one subtle point in the [split'] code that is worth mentioning.
   * The main body of the function is a [match] on [n].  In the case where [n]
   * is known to be [S n'], we write [S n'] in several places where we might be
   * tempted to write [n].  However, without further work to craft proper
   * [match] annotations, the type-checker does not use the equality between [n]
   * and [S n'].  Thus, it is common to see patterns repeated in [match] case
   * bodies in dependently typed Coq code.  We can at least use a [let]
   * expression to avoid copying the pattern more than once, replacing the first
   * case body with:
     [[
        | S n' => fun _ => let n := S n' in
          (P1_dec (substring 0 n s)
            && P2_dec (substring n (length s - n) s))
          || F n' _
     ]]
   * The [split] function itself is trivial to implement in terms of [split'].
   * We just ask [split'] to begin its search with [n = length s]. *)

  Definition split : {exists s1, exists s2, s = s1 ++ s2 /\ P1 s1 /\ P2 s2}
    + {forall s1 s2, s = s1 ++ s2 -> ~ P1 s1 \/ ~ P2 s2}.
    refine (Reduce (split' (n := length s) _)); simplify; auto; first_order; subst; eauto.
  Defined.
End split.

Implicit Arguments split [P1 P2].

(* And now, a few more boring lemmas.  Rejoin at "BOREDOM VANQUISHED", if you
 * like. *)

Lemma app_empty_end : forall s, s ++ "" = s.
Proof.
  induct s; substring.
Qed.

Hint Rewrite app_empty_end.

Lemma substring_self : forall s n,
  n <= 0
  -> substring n (length s - n) s = s.
Proof.
  induct s; substring.
Qed.

Lemma substring_empty : forall s n m,
  m <= 0
  -> substring n m s = "".
Proof.
  induct s; substring.
Qed.

Hint Rewrite substring_self substring_empty using linear_arithmetic.
Hint Rewrite substring_split.

Lemma substring_split' : forall s n m,
  substring n m s ++ substring (n + m) (length s - (n + m)) s
  = substring n (length s - n) s.
Proof.
  induct s; substring.
Qed.

Hint Extern 1 (String _ _ = String _ _) => f_equal.

Lemma substring_stack : forall s n2 m1 m2,
  m1 <= m2
  -> substring 0 m1 (substring n2 m2 s)
  = substring n2 m1 s.
Proof.
  induct s; substring.
Qed.

Ltac substring' :=
  simplify;
  repeat match goal with
           | [ |- context[match ?N with O => _ | S _ => _ end] ] => cases N; simplify
         end; try equality; try linear_arithmetic.

Lemma substring_stack' : forall s n1 n2 m1 m2,
  n1 + m1 <= m2
  -> substring n1 m1 (substring n2 m2 s)
  = substring (n1 + n2) m1 s.
Proof.
  induct s; substring';
    match goal with
    | [ H : _ |- _ ] => rewrite H by linear_arithmetic; f_equal; linear_arithmetic
    end.
Qed.

Lemma substring_suffix : forall s n,
  n <= length s
  -> length (substring n (length s - n) s) = length s - n.
Proof.
  induct s; substring.
Qed.

Lemma substring_suffix_emp' : forall s n m,
  substring n (S m) s = ""
  -> n >= length s.
Proof.
  induct s; simplify; auto;
    match goal with
      | [ |- ?N >= _ ] => cases N; simplify; try equality
    end;
    match goal with
      [ |- S ?N >= S ?E ] => assert (N >= E) by eauto; linear_arithmetic
    end.
Qed.

Lemma substring_suffix_emp : forall s n m,
  substring n m s = ""
  -> m > 0
  -> n >= length s.
Proof.
  simplify; cases m; simplify; eauto using substring_suffix_emp'.
Qed.

Hint Rewrite substring_stack substring_stack' substring_suffix using linear_arithmetic.

Lemma minus_minus : forall n m1 m2,
  m1 + m2 <= n
  -> n - m1 - m2 = n - (m1 + m2).
Proof.
  linear_arithmetic.
Qed.

Lemma plus_n_Sm' : forall n m : nat, S (n + m) = m + S n.
Proof.
  linear_arithmetic.
Qed.

Hint Rewrite minus_minus plus_n_Sm' using linear_arithmetic.

(* BOREDOM VANQUISHED! *)

(* One more helper function will come in handy: [dec_star], for implementing
 * another linear search through ways of splitting a string, this time for
 * implementing the Kleene star. *)

Section dec_star.
  Variable P : string -> Prop.
  Variable P_dec : forall s, {P s} + {~ P s}.

  (* Some new lemmas and hints about the [star] type family are useful. *)

  (* begin hide *)
  Hint Constructors star.

  Lemma star_empty : forall s,
    length s = 0
    -> star P s.
  Proof.
    simplify; cases s; simplify; try equality; eauto.
  Qed.

  Lemma star_singleton : forall s, P s -> star P s.
  Proof.
    simplify.
    rewrite <- (app_empty_end s); auto.
  Qed.

  Lemma star_app : forall s n m,
    P (substring n m s)
    -> star P (substring (n + m) (length s - (n + m)) s)
    -> star P (substring n (length s - n) s).
  Proof.
    induct n; substring;
      match goal with
        | [ H : P (substring ?N ?M ?S) |- _ ] =>
          solve [ rewrite <- (substring_split S M); auto
            | rewrite <- (substring_split' S N M); simplify; auto ]
      end.
  Qed.

  Hint Resolve star_empty star_singleton star_app.

  Variable s : string.

  Hint Extern 1 (exists i : nat, _) =>
    match goal with
    | [ H : P (String _ ?S) |- _ ] => exists (length S); simplify
    end.

  Lemma star_inv : forall s,
    star P s
    -> s = ""
    \/ exists i, i < length s
      /\ P (substring 0 (S i) s)
      /\ star P (substring (S i) (length s - S i) s).
  Proof.
    induct 1; simplify; first_order; subst.
    cases s1; simplify; propositional; eauto 10.
    cases s1; simplify; propositional; eauto 10.
  Qed.

  Lemma star_substring_inv : forall n,
    n <= length s
    -> star P (substring n (length s - n) s)
    -> substring n (length s - n) s = ""
    \/ exists l, l < length s - n
      /\ P (substring n (S l) s)
      /\ star P (substring (n + S l) (length s - (n + S l)) s).
  Proof.
    simplify;
      match goal with
        | [ H : star _ _ |- _ ] => pose proof (star_inv H); simplify;
                                     first_order; simplify; eauto
      end.
  Qed.

  (* The function [dec_star''] implements a single iteration of the star.  That
   * is, it tries to find a string prefix matching [P], and it calls a parameter
   * function on the remainder of the string. *)

  Section dec_star''.
    Variable n : nat.
    (* Variable [n] is the length of the prefix of [s] that we have already
     * processed. *)

    Variable P' : string -> Prop.
    Variable P'_dec : forall n' : nat, n' > n
      -> {P' (substring n' (length s - n') s)}
      + {~ P' (substring n' (length s - n') s)}.

    (* When we use [dec_star''], we will instantiate [P'_dec] with a function
     * for continuing the search for more instances of [P] in [s]. *)

    (* Now we come to [dec_star''] itself.  It takes as an input a natural [l]
     * that records how much of the string has been searched so far, as we did
     * for [split'].  The return type expresses that [dec_star''] is looking for
     * an index into [s] that splits [s] into a nonempty prefix and a suffix,
     * such that the prefix satisfies [P] and the suffix satisfies [P']. *)

    Hint Extern 1 (_ \/ _) => linear_arithmetic.

    Definition dec_star'' : forall l : nat,
      {exists l', S l' <= l
        /\ P (substring n (S l') s) /\ P' (substring (n + S l') (length s - (n + S l')) s)}
      + {forall l', S l' <= l
        -> ~ P (substring n (S l') s)
        \/ ~ P' (substring (n + S l') (length s - (n + S l')) s)}.
      refine (fix F (l : nat) : {exists l', S l' <= l
          /\ P (substring n (S l') s) /\ P' (substring (n + S l') (length s - (n + S l')) s)}
        + {forall l', S l' <= l
          -> ~ P (substring n (S l') s)
          \/ ~ P' (substring (n + S l') (length s - (n + S l')) s)} :=
        match l with
          | O => _
          | S l' =>
            (P_dec (substring n (S l') s) && P'_dec (n' := n + S l') _)
            || F l'
        end); clear F; simplify; first_order; eauto 7;
        match goal with
        | [ H : ?X <= S ?Y |- _ ] => destruct (eq_nat_dec X (S Y)); simplify; eauto; equality
        end.
    Defined.
  End dec_star''.

  Lemma star_length_contra : forall n,
    length s > n
    -> n >= length s
    -> False.
  Proof.
    linear_arithmetic.
  Qed.

  Lemma star_length_flip : forall n n',
    length s - n <= S n'
    -> length s > n
    -> length s - n > 0.
  Proof.
    linear_arithmetic.
  Qed.

  Hint Resolve star_length_contra star_length_flip substring_suffix_emp.

  (* The work of [dec_star''] is nested inside another linear search by
   * [dec_star'], which provides the final functionality we need, but for
   * arbitrary suffixes of [s], rather than just for [s] overall. *)
  
  Definition dec_star' : forall n n' : nat, length s - n' <= n
    -> {star P (substring n' (length s - n') s)}
    + {~ star P (substring n' (length s - n') s)}.
    refine (fix F (n n' : nat) : length s - n' <= n
      -> {star P (substring n' (length s - n') s)}
      + {~ star P (substring n' (length s - n') s)} :=
      match n with
        | O => fun _ => Yes
        | S n'' => fun _ =>
          le_gt_dec (length s) n'
          || dec_star'' (n := n') (star P)
            (fun n0 _ => Reduce (F n'' n0 _)) (length s - n')
      end); clear F; simplify; first_order; propositional; eauto;
    match goal with
      | [ H : star _ _ |- _ ] => apply star_substring_inv in H; simplify; eauto
    end; first_order; eauto.
  Defined.

  (* Finally, we have [dec_star], defined by straightforward reduction from
   * [dec_star']. *)

  Definition dec_star : {star P s} + {~ star P s}.
    refine (Reduce (dec_star' (n := length s) 0 _)); simplify; auto.
  Defined.
End dec_star.

Lemma app_cong : forall x1 y1 x2 y2,
  x1 = x2
  -> y1 = y2
  -> x1 ++ y1 = x2 ++ y2.
Proof.
  equality.
Qed.

Hint Resolve app_cong.

(* With these helper functions completed, the implementation of our [matches]
 * function is refreshingly straightforward. *)

Definition matches : forall P (r : regexp P) s, {P s} + {~ P s}.
  refine (fix F P (r : regexp P) s : {P s} + {~ P s} :=
    match r with
      | Char ch => string_dec s (String ch "")
      | Concat _ _ r1 r2 => Reduce (split (F _ r1) (F _ r2) s)
      | Or _ _ r1 r2 => F _ r1 s || F _ r2 s
      | Star _ r => dec_star _ _ _
    end); simplify; first_order.
Defined.

(* It is interesting to pause briefly to consider alternate implementations of
 * [matches].  Dependent types give us much latitude in how specific correctness
 * properties may be encoded with types.  For instance, we could have made
 * [regexp] a non-indexed inductive type, along the lines of what is possible in
 * traditional ML and Haskell.  We could then have implemented a recursive
 * function to map [regexp]s to their intended meanings, much as we have done
 * with types and programs in other examples.  That style is compatible with the
 * [refine]-based approach that we have used here, and it might be an
 * interesting exercise to redo the code from this subsection in that
 * alternative style or some further encoding of the reader's choice.  The main
 * advantage of indexed inductive types is that they generally lead to the
 * smallest amount of code. *)

Definition toBool A B (x : {A} + {B}) :=
  if x then true else false.

Example hi := Concat (Char "h"%char) (Char "i"%char).
Compute toBool (matches hi "hi").
Compute toBool (matches hi "bye").

Example a_b := Or (Char "a"%char) (Char "b"%char).
Compute toBool (matches a_b "").
Compute toBool (matches a_b "a").
Compute toBool (matches a_b "aa").
Compute toBool (matches a_b "b").

Example a_star := Star (Char "a"%char).
Compute toBool (matches a_star "").
Compute toBool (matches a_star "a").
Compute toBool (matches a_star "b").
Compute toBool (matches a_star "aa").