From 8c374555ba5fbb78b38ff0c053bed5c72ea4dde4 Mon Sep 17 00:00:00 2001 From: Maxime Dénès Date: Tue, 13 Mar 2018 17:40:09 +0100 Subject: [Sphinx] Move chapter 10 to new infrastructure --- doc/refman/RefMan-tacex.tex | 930 --------------------- doc/refman/Reference-Manual.tex | 1 - .../proof-engine/detailed-tactic-examples.rst | 930 +++++++++++++++++++++ 3 files changed, 930 insertions(+), 931 deletions(-) delete mode 100644 doc/refman/RefMan-tacex.tex create mode 100644 doc/sphinx/proof-engine/detailed-tactic-examples.rst (limited to 'doc') diff --git a/doc/refman/RefMan-tacex.tex b/doc/refman/RefMan-tacex.tex deleted file mode 100644 index 7cdb1a527..000000000 --- a/doc/refman/RefMan-tacex.tex +++ /dev/null @@ -1,930 +0,0 @@ -\chapter[Detailed examples of tactics]{Detailed examples of tactics\label{Tactics-examples}} -%HEVEA\cutname{tactic-examples.html} - -This chapter presents detailed examples of certain tactics, to -illustrate their behavior. - -\section[\tt dependent induction]{\tt dependent induction\label{dependent-induction-example}} -\def\depind{{\tt dependent induction}~} -\def\depdestr{{\tt dependent destruction}~} - -The tactics \depind and \depdestr are another solution for inverting -inductive predicate instances and potentially doing induction at the -same time. It is based on the \texttt{BasicElim} tactic of Conor McBride which -works by abstracting each argument of an inductive instance by a variable -and constraining it by equalities afterwards. This way, the usual -{\tt induction} and {\tt destruct} tactics can be applied to the -abstracted instance and after simplification of the equalities we get -the expected goals. - -The abstracting tactic is called {\tt generalize\_eqs} and it takes as -argument an hypothesis to generalize. It uses the {\tt JMeq} datatype -defined in {\tt Coq.Logic.JMeq}, hence we need to require it before. -For example, revisiting the first example of the inversion documentation above: - -\begin{coq_example*} -Require Import Coq.Logic.JMeq. -\end{coq_example*} -\begin{coq_eval} -Require Import Coq.Program.Equality. -\end{coq_eval} - -\begin{coq_eval} -Inductive Le : nat -> nat -> Set := - | LeO : forall n:nat, Le 0 n - | LeS : forall n m:nat, Le n m -> Le (S n) (S m). -Variable P : nat -> nat -> Prop. -Variable Q : forall n m:nat, Le n m -> Prop. -\end{coq_eval} - -\begin{coq_example*} -Goal forall n m:nat, Le (S n) m -> P n m. -intros n m H. -\end{coq_example*} -\begin{coq_example} -generalize_eqs H. -\end{coq_example} - -The index {\tt S n} gets abstracted by a variable here, but a -corresponding equality is added under the abstract instance so that no -information is actually lost. The goal is now almost amenable to do induction -or case analysis. One should indeed first move {\tt n} into the goal to -strengthen it before doing induction, or {\tt n} will be fixed in -the inductive hypotheses (this does not matter for case analysis). -As a rule of thumb, all the variables that appear inside constructors in -the indices of the hypothesis should be generalized. This is exactly -what the \texttt{generalize\_eqs\_vars} variant does: - -\begin{coq_eval} -Undo 1. -\end{coq_eval} -\begin{coq_example} -generalize_eqs_vars H. -induction H. -\end{coq_example} - -As the hypothesis itself did not appear in the goal, we did not need to -use an heterogeneous equality to relate the new hypothesis to the old -one (which just disappeared here). However, the tactic works just as well -in this case, e.g.: - -\begin{coq_eval} -Admitted. -\end{coq_eval} - -\begin{coq_example} -Goal forall n m (p : Le (S n) m), Q (S n) m p. -intros n m p ; generalize_eqs_vars p. -\end{coq_example} - -One drawback of this approach is that in the branches one will have to -substitute the equalities back into the instance to get the right -assumptions. Sometimes injection of constructors will also be needed to -recover the needed equalities. Also, some subgoals should be directly -solved because of inconsistent contexts arising from the constraints on -indexes. The nice thing is that we can make a tactic based on -discriminate, injection and variants of substitution to automatically -do such simplifications (which may involve the K axiom). -This is what the {\tt simplify\_dep\_elim} tactic from -{\tt Coq.Program.Equality} does. For example, we might simplify the -previous goals considerably: -% \begin{coq_eval} -% Abort. -% Goal forall n m:nat, Le (S n) m -> P n m. -% intros n m H ; generalize_eqs_vars H. -% \end{coq_eval} - -\begin{coq_example} -induction p ; simplify_dep_elim. -\end{coq_example} - -The higher-order tactic {\tt do\_depind} defined in {\tt - Coq.Program.Equality} takes a tactic and combines the -building blocks we have seen with it: generalizing by equalities -calling the given tactic with the -generalized induction hypothesis as argument and cleaning the subgoals -with respect to equalities. Its most important instantiations are -\depind and \depdestr that do induction or simply case analysis on the -generalized hypothesis. For example we can redo what we've done manually -with \depdestr: - -\begin{coq_eval} -Abort. -\end{coq_eval} -\begin{coq_example*} -Require Import Coq.Program.Equality. -Lemma ex : forall n m:nat, Le (S n) m -> P n m. -intros n m H. -\end{coq_example*} -\begin{coq_example} -dependent destruction H. -\end{coq_example} -\begin{coq_eval} -Abort. -\end{coq_eval} - -This gives essentially the same result as inversion. Now if the -destructed hypothesis actually appeared in the goal, the tactic would -still be able to invert it, contrary to {\tt dependent - inversion}. Consider the following example on vectors: - -\begin{coq_example*} -Require Import Coq.Program.Equality. -Set Implicit Arguments. -Variable A : Set. -Inductive vector : nat -> Type := -| vnil : vector 0 -| vcons : A -> forall n, vector n -> vector (S n). -Goal forall n, forall v : vector (S n), - exists v' : vector n, exists a : A, v = vcons a v'. - intros n v. -\end{coq_example*} -\begin{coq_example} - dependent destruction v. -\end{coq_example} -\begin{coq_eval} -Abort. -\end{coq_eval} - -In this case, the {\tt v} variable can be replaced in the goal by the -generalized hypothesis only when it has a type of the form {\tt vector - (S n)}, that is only in the second case of the {\tt destruct}. The -first one is dismissed because {\tt S n <> 0}. - -\subsection{A larger example} - -Let's see how the technique works with {\tt induction} on inductive -predicates on a real example. We will develop an example application to the -theory of simply-typed lambda-calculus formalized in a dependently-typed style: - -\begin{coq_example*} -Inductive type : Type := -| base : type -| arrow : type -> type -> type. -Notation " t --> t' " := (arrow t t') (at level 20, t' at next level). -Inductive ctx : Type := -| empty : ctx -| snoc : ctx -> type -> ctx. -Notation " G , tau " := (snoc G tau) (at level 20, tau at next level). -Fixpoint conc (G D : ctx) : ctx := - match D with - | empty => G - | snoc D' x => snoc (conc G D') x - end. -Notation " G ; D " := (conc G D) (at level 20). -Inductive term : ctx -> type -> Type := -| ax : forall G tau, term (G, tau) tau -| weak : forall G tau, - term G tau -> forall tau', term (G, tau') tau -| abs : forall G tau tau', - term (G , tau) tau' -> term G (tau --> tau') -| app : forall G tau tau', - term G (tau --> tau') -> term G tau -> term G tau'. -\end{coq_example*} - -We have defined types and contexts which are snoc-lists of types. We -also have a {\tt conc} operation that concatenates two contexts. -The {\tt term} datatype represents in fact the possible typing -derivations of the calculus, which are isomorphic to the well-typed -terms, hence the name. A term is either an application of: -\begin{itemize} -\item the axiom rule to type a reference to the first variable in a context, -\item the weakening rule to type an object in a larger context -\item the abstraction or lambda rule to type a function -\item the application to type an application of a function to an argument -\end{itemize} - -Once we have this datatype we want to do proofs on it, like weakening: - -\begin{coq_example*} -Lemma weakening : forall G D tau, term (G ; D) tau -> - forall tau', term (G , tau' ; D) tau. -\end{coq_example*} -\begin{coq_eval} - Abort. -\end{coq_eval} - -The problem here is that we can't just use {\tt induction} on the typing -derivation because it will forget about the {\tt G ; D} constraint -appearing in the instance. A solution would be to rewrite the goal as: -\begin{coq_example*} -Lemma weakening' : forall G' tau, term G' tau -> - forall G D, (G ; D) = G' -> - forall tau', term (G, tau' ; D) tau. -\end{coq_example*} -\begin{coq_eval} - Abort. -\end{coq_eval} - -With this proper separation of the index from the instance and the right -induction loading (putting {\tt G} and {\tt D} after the inducted-on -hypothesis), the proof will go through, but it is a very tedious -process. One is also forced to make a wrapper lemma to get back the -more natural statement. The \depind tactic alleviates this trouble by -doing all of this plumbing of generalizing and substituting back automatically. -Indeed we can simply write: - -\begin{coq_example*} -Require Import Coq.Program.Tactics. -Lemma weakening : forall G D tau, term (G ; D) tau -> - forall tau', term (G , tau' ; D) tau. -Proof with simpl in * ; simpl_depind ; auto. - intros G D tau H. dependent induction H generalizing G D ; intros. -\end{coq_example*} - -This call to \depind has an additional arguments which is a list of -variables appearing in the instance that should be generalized in the -goal, so that they can vary in the induction hypotheses. By default, all -variables appearing inside constructors (except in a parameter position) -of the instantiated hypothesis will be generalized automatically but -one can always give the list explicitly. - -\begin{coq_example} - Show. -\end{coq_example} - -The {\tt simpl\_depind} tactic includes an automatic tactic that tries -to simplify equalities appearing at the beginning of induction -hypotheses, generally using trivial applications of -reflexivity. In cases where the equality is not between constructor -forms though, one must help the automation by giving -some arguments, using the {\tt specialize} tactic for example. - -\begin{coq_example*} -destruct D... apply weak ; apply ax. apply ax. -destruct D... -\end{coq_example*} -\begin{coq_example} -Show. -\end{coq_example} -\begin{coq_example} - specialize (IHterm G0 empty eq_refl). -\end{coq_example} - -Once the induction hypothesis has been narrowed to the right equality, -it can be used directly. - -\begin{coq_example} - apply weak, IHterm. -\end{coq_example} - -If there is an easy first-order solution to these equations as in this subgoal, the -{\tt specialize\_eqs} tactic can be used instead of giving explicit proof -terms: - -\begin{coq_example} - specialize_eqs IHterm. -\end{coq_example} -This concludes our example. -\SeeAlso The induction \ref{elim}, case \ref{case} and inversion \ref{inversion} tactics. - -\section[\tt autorewrite]{\tt autorewrite\label{autorewrite-example}} - -Here are two examples of {\tt autorewrite} use. The first one ({\em Ackermann -function}) shows actually a quite basic use where there is no conditional -rewriting. The second one ({\em Mac Carthy function}) involves conditional -rewritings and shows how to deal with them using the optional tactic of the -{\tt Hint~Rewrite} command. - -\firstexample -\example{Ackermann function} -%Here is a basic use of {\tt AutoRewrite} with the Ackermann function: - -\begin{coq_example*} -Reset Initial. -Require Import Arith. -Variable Ack : - nat -> nat -> nat. -Axiom Ack0 : - forall m:nat, Ack 0 m = S m. -Axiom Ack1 : forall n:nat, Ack (S n) 0 = Ack n 1. -Axiom Ack2 : forall n m:nat, Ack (S n) (S m) = Ack n (Ack (S n) m). -\end{coq_example*} - -\begin{coq_example} -Hint Rewrite Ack0 Ack1 Ack2 : base0. -Lemma ResAck0 : - Ack 3 2 = 29. -autorewrite with base0 using try reflexivity. -\end{coq_example} - -\begin{coq_eval} -Reset Initial. -\end{coq_eval} - -\example{Mac Carthy function} -%The Mac Carthy function shows a more complex case: - -\begin{coq_example*} -Require Import Omega. -Variable g : - nat -> nat -> nat. -Axiom g0 : - forall m:nat, g 0 m = m. -Axiom - g1 : - forall n m:nat, - (n > 0) -> (m > 100) -> g n m = g (pred n) (m - 10). -Axiom - g2 : - forall n m:nat, - (n > 0) -> (m <= 100) -> g n m = g (S n) (m + 11). -\end{coq_example*} - -\begin{coq_example} -Hint Rewrite g0 g1 g2 using omega : base1. -Lemma Resg0 : - g 1 110 = 100. -autorewrite with base1 using reflexivity || simpl. -\end{coq_example} - -\begin{coq_eval} -Abort. -\end{coq_eval} - -\begin{coq_example} -Lemma Resg1 : g 1 95 = 91. -autorewrite with base1 using reflexivity || simpl. -\end{coq_example} - -\begin{coq_eval} -Reset Initial. -\end{coq_eval} - -\section[\tt quote]{\tt quote\tacindex{quote} -\label{quote-examples}} - -The tactic \texttt{quote} allows using Barendregt's so-called -2-level approach without writing any ML code. Suppose you have a -language \texttt{L} of -'abstract terms' and a type \texttt{A} of 'concrete terms' -and a function \texttt{f : L -> A}. If \texttt{L} is a simple -inductive datatype and \texttt{f} a simple fixpoint, \texttt{quote f} -will replace the head of current goal by a convertible term of the form -\texttt{(f t)}. \texttt{L} must have a constructor of type: \texttt{A - -> L}. - -Here is an example: - -\begin{coq_example} -Require Import Quote. -Parameters A B C : Prop. -Inductive formula : Type := - | f_and : formula -> formula -> formula (* binary constructor *) - | f_or : formula -> formula -> formula - | f_not : formula -> formula (* unary constructor *) - | f_true : formula (* 0-ary constructor *) - | f_const : Prop -> formula (* constructor for constants *). -Fixpoint interp_f (f: - formula) : Prop := - match f with - | f_and f1 f2 => interp_f f1 /\ interp_f f2 - | f_or f1 f2 => interp_f f1 \/ interp_f f2 - | f_not f1 => ~ interp_f f1 - | f_true => True - | f_const c => c - end. -Goal A /\ (A \/ True) /\ ~ B /\ (A <-> A). -quote interp_f. -\end{coq_example} - -The algorithm to perform this inversion is: try to match the -term with right-hand sides expression of \texttt{f}. If there is a -match, apply the corresponding left-hand side and call yourself -recursively on sub-terms. If there is no match, we are at a leaf: -return the corresponding constructor (here \texttt{f\_const}) applied -to the term. - -\begin{ErrMsgs} -\item \errindex{quote: not a simple fixpoint} \\ - Happens when \texttt{quote} is not able to perform inversion properly. -\end{ErrMsgs} - -\subsection{Introducing variables map} - -The normal use of \texttt{quote} is to make proofs by reflection: one -defines a function \texttt{simplify : formula -> formula} and proves a -theorem \texttt{simplify\_ok: (f:formula)(interp\_f (simplify f)) -> - (interp\_f f)}. Then, one can simplify formulas by doing: -\begin{verbatim} - quote interp_f. - apply simplify_ok. - compute. -\end{verbatim} -But there is a problem with leafs: in the example above one cannot -write a function that implements, for example, the logical simplifications -$A \land A \ra A$ or $A \land \lnot A \ra \texttt{False}$. This is -because the \Prop{} is impredicative. - -It is better to use that type of formulas: - -\begin{coq_eval} -Reset formula. -\end{coq_eval} -\begin{coq_example} -Inductive formula : Set := - | f_and : formula -> formula -> formula - | f_or : formula -> formula -> formula - | f_not : formula -> formula - | f_true : formula - | f_atom : index -> formula. -\end{coq_example*} - -\texttt{index} is defined in module \texttt{quote}. Equality on that -type is decidable so we are able to simplify $A \land A$ into $A$ at -the abstract level. - -When there are variables, there are bindings, and \texttt{quote} -provides also a type \texttt{(varmap A)} of bindings from -\texttt{index} to any set \texttt{A}, and a function -\texttt{varmap\_find} to search in such maps. The interpretation -function has now another argument, a variables map: - -\begin{coq_example} -Fixpoint interp_f (vm: - varmap Prop) (f:formula) {struct f} : Prop := - match f with - | f_and f1 f2 => interp_f vm f1 /\ interp_f vm f2 - | f_or f1 f2 => interp_f vm f1 \/ interp_f vm f2 - | f_not f1 => ~ interp_f vm f1 - | f_true => True - | f_atom i => varmap_find True i vm - end. -\end{coq_example} - -\noindent\texttt{quote} handles this second case properly: - -\begin{coq_example} -Goal A /\ (B \/ A) /\ (A \/ ~ B). -quote interp_f. -\end{coq_example} - -It builds \texttt{vm} and \texttt{t} such that \texttt{(f vm t)} is -convertible with the conclusion of current goal. - -\subsection{Combining variables and constants} - -One can have both variables and constants in abstracts terms; that is -the case, for example, for the \texttt{ring} tactic (chapter -\ref{ring}). Then one must provide to \texttt{quote} a list of -\emph{constructors of constants}. For example, if the list is -\texttt{[O S]} then closed natural numbers will be considered as -constants and other terms as variables. - -Example: - -\begin{coq_eval} -Reset formula. -\end{coq_eval} -\begin{coq_example*} -Inductive formula : Type := - | f_and : formula -> formula -> formula - | f_or : formula -> formula -> formula - | f_not : formula -> formula - | f_true : formula - | f_const : Prop -> formula (* constructor for constants *) - | f_atom : index -> formula. -Fixpoint interp_f - (vm: (* constructor for variables *) - varmap Prop) (f:formula) {struct f} : Prop := - match f with - | f_and f1 f2 => interp_f vm f1 /\ interp_f vm f2 - | f_or f1 f2 => interp_f vm f1 \/ interp_f vm f2 - | f_not f1 => ~ interp_f vm f1 - | f_true => True - | f_const c => c - | f_atom i => varmap_find True i vm - end. -Goal -A /\ (A \/ True) /\ ~ B /\ (C <-> C). -\end{coq_example*} - -\begin{coq_example} -quote interp_f [ A B ]. -Undo. - quote interp_f [ B C iff ]. -\end{coq_example} - -\Warning Since function inversion -is undecidable in general case, don't expect miracles from it! - -\begin{Variants} - -\item {\tt quote {\ident} in {\term} using {\tac}} - - \tac\ must be a functional tactic (starting with {\tt fun x =>}) - and will be called with the quoted version of \term\ according to - \ident. - -\item {\tt quote {\ident} [ \ident$_1$ \dots\ \ident$_n$ ] in {\term} using {\tac}} - - Same as above, but will use \ident$_1$, \dots, \ident$_n$ to - chose which subterms are constants (see above). - -\end{Variants} - -% \SeeAlso file \texttt{theories/DEMOS/DemoQuote.v} - -\SeeAlso comments of source file \texttt{plugins/quote/quote.ml} - -\SeeAlso the \texttt{ring} tactic (Chapter~\ref{ring}) - - - -\section{Using the tactical language} - -\subsection{About the cardinality of the set of natural numbers} - -A first example which shows how to use the pattern matching over the proof -contexts is the proof that natural numbers have more than two elements. The -proof of such a lemma can be done as %shown on Figure~\ref{cnatltac}. -follows: -%\begin{figure} -%\begin{centerframe} -\begin{coq_eval} -Reset Initial. -Require Import Arith. -Require Import List. -\end{coq_eval} -\begin{coq_example*} -Lemma card_nat : - ~ (exists x : nat, exists y : nat, forall z:nat, x = z \/ y = z). -Proof. -red; intros (x, (y, Hy)). -elim (Hy 0); elim (Hy 1); elim (Hy 2); intros; - match goal with - | [_:(?a = ?b),_:(?a = ?c) |- _ ] => - cut (b = c); [ discriminate | transitivity a; auto ] - end. -Qed. -\end{coq_example*} -%\end{centerframe} -%\caption{A proof on cardinality of natural numbers} -%\label{cnatltac} -%\end{figure} - -We can notice that all the (very similar) cases coming from the three -eliminations (with three distinct natural numbers) are successfully solved by -a {\tt match goal} structure and, in particular, with only one pattern (use -of non-linear matching). - -\subsection{Permutation on closed lists} - -Another more complex example is the problem of permutation on closed lists. The -aim is to show that a closed list is a permutation of another one. - -First, we define the permutation predicate as shown in table~\ref{permutpred}. - -\begin{figure} -\begin{centerframe} -\begin{coq_example*} -Section Sort. -Variable A : Set. -Inductive permut : list A -> list A -> Prop := - | permut_refl : forall l, permut l l - | permut_cons : - forall a l0 l1, permut l0 l1 -> permut (a :: l0) (a :: l1) - | permut_append : forall a l, permut (a :: l) (l ++ a :: nil) - | permut_trans : - forall l0 l1 l2, permut l0 l1 -> permut l1 l2 -> permut l0 l2. -End Sort. -\end{coq_example*} -\end{centerframe} -\caption{Definition of the permutation predicate} -\label{permutpred} -\end{figure} - -A more complex example is the problem of permutation on closed lists. -The aim is to show that a closed list is a permutation of another one. -First, we define the permutation predicate as shown on -Figure~\ref{permutpred}. - -\begin{figure} -\begin{centerframe} -\begin{coq_example} -Ltac Permut n := - match goal with - | |- (permut _ ?l ?l) => apply permut_refl - | |- (permut _ (?a :: ?l1) (?a :: ?l2)) => - let newn := eval compute in (length l1) in - (apply permut_cons; Permut newn) - | |- (permut ?A (?a :: ?l1) ?l2) => - match eval compute in n with - | 1 => fail - | _ => - let l1' := constr:(l1 ++ a :: nil) in - (apply (permut_trans A (a :: l1) l1' l2); - [ apply permut_append | compute; Permut (pred n) ]) - end - end. -Ltac PermutProve := - match goal with - | |- (permut _ ?l1 ?l2) => - match eval compute in (length l1 = length l2) with - | (?n = ?n) => Permut n - end - end. -\end{coq_example} -\end{centerframe} -\caption{Permutation tactic} -\label{permutltac} -\end{figure} - -Next, we can write naturally the tactic and the result can be seen on -Figure~\ref{permutltac}. We can notice that we use two toplevel -definitions {\tt PermutProve} and {\tt Permut}. The function to be -called is {\tt PermutProve} which computes the lengths of the two -lists and calls {\tt Permut} with the length if the two lists have the -same length. {\tt Permut} works as expected. If the two lists are -equal, it concludes. Otherwise, if the lists have identical first -elements, it applies {\tt Permut} on the tail of the lists. Finally, -if the lists have different first elements, it puts the first element -of one of the lists (here the second one which appears in the {\tt - permut} predicate) at the end if that is possible, i.e., if the new -first element has been at this place previously. To verify that all -rotations have been done for a list, we use the length of the list as -an argument for {\tt Permut} and this length is decremented for each -rotation down to, but not including, 1 because for a list of length -$n$, we can make exactly $n-1$ rotations to generate at most $n$ -distinct lists. Here, it must be noticed that we use the natural -numbers of {\Coq} for the rotation counter. On Figure~\ref{ltac}, we -can see that it is possible to use usual natural numbers but they are -only used as arguments for primitive tactics and they cannot be -handled, in particular, we cannot make computations with them. So, a -natural choice is to use {\Coq} data structures so that {\Coq} makes -the computations (reductions) by {\tt eval compute in} and we can get -the terms back by {\tt match}. - -With {\tt PermutProve}, we can now prove lemmas as -% shown on Figure~\ref{permutlem}. -follows: -%\begin{figure} -%\begin{centerframe} - -\begin{coq_example*} -Lemma permut_ex1 : - permut nat (1 :: 2 :: 3 :: nil) (3 :: 2 :: 1 :: nil). -Proof. PermutProve. Qed. -Lemma permut_ex2 : - permut nat - (0 :: 1 :: 2 :: 3 :: 4 :: 5 :: 6 :: 7 :: 8 :: 9 :: nil) - (0 :: 2 :: 4 :: 6 :: 8 :: 9 :: 7 :: 5 :: 3 :: 1 :: nil). -Proof. PermutProve. Qed. -\end{coq_example*} -%\end{centerframe} -%\caption{Examples of {\tt PermutProve} use} -%\label{permutlem} -%\end{figure} - - -\subsection{Deciding intuitionistic propositional logic} - -\begin{figure}[b] -\begin{centerframe} -\begin{coq_example} -Ltac Axioms := - match goal with - | |- True => trivial - | _:False |- _ => elimtype False; assumption - | _:?A |- ?A => auto - end. -\end{coq_example} -\end{centerframe} -\caption{Deciding intuitionistic propositions (1)} -\label{tautoltaca} -\end{figure} - - -\begin{figure} -\begin{centerframe} -\begin{coq_example} -Ltac DSimplif := - repeat - (intros; - match goal with - | id:(~ _) |- _ => red in id - | id:(_ /\ _) |- _ => - elim id; do 2 intro; clear id - | id:(_ \/ _) |- _ => - elim id; intro; clear id - | id:(?A /\ ?B -> ?C) |- _ => - cut (A -> B -> C); - [ intro | intros; apply id; split; assumption ] - | id:(?A \/ ?B -> ?C) |- _ => - cut (B -> C); - [ cut (A -> C); - [ intros; clear id - | intro; apply id; left; assumption ] - | intro; apply id; right; assumption ] - | id0:(?A -> ?B),id1:?A |- _ => - cut B; [ intro; clear id0 | apply id0; assumption ] - | |- (_ /\ _) => split - | |- (~ _) => red - end). -Ltac TautoProp := - DSimplif; - Axioms || - match goal with - | id:((?A -> ?B) -> ?C) |- _ => - cut (B -> C); - [ intro; cut (A -> B); - [ intro; cut C; - [ intro; clear id | apply id; assumption ] - | clear id ] - | intro; apply id; intro; assumption ]; TautoProp - | id:(~ ?A -> ?B) |- _ => - cut (False -> B); - [ intro; cut (A -> False); - [ intro; cut B; - [ intro; clear id | apply id; assumption ] - | clear id ] - | intro; apply id; red; intro; assumption ]; TautoProp - | |- (_ \/ _) => (left; TautoProp) || (right; TautoProp) - end. -\end{coq_example} -\end{centerframe} -\caption{Deciding intuitionistic propositions (2)} -\label{tautoltacb} -\end{figure} - -The pattern matching on goals allows a complete and so a powerful -backtracking when returning tactic values. An interesting application -is the problem of deciding intuitionistic propositional logic. -Considering the contraction-free sequent calculi {\tt LJT*} of -Roy~Dyckhoff (\cite{Dyc92}), it is quite natural to code such a tactic -using the tactic language as shown on Figures~\ref{tautoltaca} -and~\ref{tautoltacb}. The tactic {\tt Axioms} tries to conclude using -usual axioms. The tactic {\tt DSimplif} applies all the reversible -rules of Dyckhoff's system. Finally, the tactic {\tt TautoProp} (the -main tactic to be called) simplifies with {\tt DSimplif}, tries to -conclude with {\tt Axioms} and tries several paths using the -backtracking rules (one of the four Dyckhoff's rules for the left -implication to get rid of the contraction and the right or). - -For example, with {\tt TautoProp}, we can prove tautologies like - those: -% on Figure~\ref{tautolem}. -%\begin{figure}[tbp] -%\begin{centerframe} -\begin{coq_example*} -Lemma tauto_ex1 : forall A B:Prop, A /\ B -> A \/ B. -Proof. TautoProp. Qed. -Lemma tauto_ex2 : - forall A B:Prop, (~ ~ B -> B) -> (A -> B) -> ~ ~ A -> B. -Proof. TautoProp. Qed. -\end{coq_example*} -%\end{centerframe} -%\caption{Proofs of tautologies with {\tt TautoProp}} -%\label{tautolem} -%\end{figure} - -\subsection{Deciding type isomorphisms} - -A more tricky problem is to decide equalities between types and modulo -isomorphisms. Here, we choose to use the isomorphisms of the simply typed -$\lb{}$-calculus with Cartesian product and $unit$ type (see, for example, -\cite{RC95}). The axioms of this $\lb{}$-calculus are given by -table~\ref{isosax}. - -\begin{figure} -\begin{centerframe} -\begin{coq_eval} -Reset Initial. -\end{coq_eval} -\begin{coq_example*} -Open Scope type_scope. -Section Iso_axioms. -Variables A B C : Set. -Axiom Com : A * B = B * A. -Axiom Ass : A * (B * C) = A * B * C. -Axiom Cur : (A * B -> C) = (A -> B -> C). -Axiom Dis : (A -> B * C) = (A -> B) * (A -> C). -Axiom P_unit : A * unit = A. -Axiom AR_unit : (A -> unit) = unit. -Axiom AL_unit : (unit -> A) = A. -Lemma Cons : B = C -> A * B = A * C. -Proof. -intro Heq; rewrite Heq; reflexivity. -Qed. -End Iso_axioms. -\end{coq_example*} -\end{centerframe} -\caption{Type isomorphism axioms} -\label{isosax} -\end{figure} - -A more tricky problem is to decide equalities between types and modulo -isomorphisms. Here, we choose to use the isomorphisms of the simply typed -$\lb{}$-calculus with Cartesian product and $unit$ type (see, for example, -\cite{RC95}). The axioms of this $\lb{}$-calculus are given on -Figure~\ref{isosax}. - -\begin{figure}[ht] -\begin{centerframe} -\begin{coq_example} -Ltac DSimplif trm := - match trm with - | (?A * ?B * ?C) => - rewrite <- (Ass A B C); try MainSimplif - | (?A * ?B -> ?C) => - rewrite (Cur A B C); try MainSimplif - | (?A -> ?B * ?C) => - rewrite (Dis A B C); try MainSimplif - | (?A * unit) => - rewrite (P_unit A); try MainSimplif - | (unit * ?B) => - rewrite (Com unit B); try MainSimplif - | (?A -> unit) => - rewrite (AR_unit A); try MainSimplif - | (unit -> ?B) => - rewrite (AL_unit B); try MainSimplif - | (?A * ?B) => - (DSimplif A; try MainSimplif) || (DSimplif B; try MainSimplif) - | (?A -> ?B) => - (DSimplif A; try MainSimplif) || (DSimplif B; try MainSimplif) - end - with MainSimplif := - match goal with - | |- (?A = ?B) => try DSimplif A; try DSimplif B - end. -Ltac Length trm := - match trm with - | (_ * ?B) => let succ := Length B in constr:(S succ) - | _ => constr:(1) - end. -Ltac assoc := repeat rewrite <- Ass. -\end{coq_example} -\end{centerframe} -\caption{Type isomorphism tactic (1)} -\label{isosltac1} -\end{figure} - -\begin{figure}[ht] -\begin{centerframe} -\begin{coq_example} -Ltac DoCompare n := - match goal with - | [ |- (?A = ?A) ] => reflexivity - | [ |- (?A * ?B = ?A * ?C) ] => - apply Cons; let newn := Length B in - DoCompare newn - | [ |- (?A * ?B = ?C) ] => - match eval compute in n with - | 1 => fail - | _ => - pattern (A * B) at 1; rewrite Com; assoc; DoCompare (pred n) - end - end. -Ltac CompareStruct := - match goal with - | [ |- (?A = ?B) ] => - let l1 := Length A - with l2 := Length B in - match eval compute in (l1 = l2) with - | (?n = ?n) => DoCompare n - end - end. -Ltac IsoProve := MainSimplif; CompareStruct. -\end{coq_example} -\end{centerframe} -\caption{Type isomorphism tactic (2)} -\label{isosltac2} -\end{figure} - -The tactic to judge equalities modulo this axiomatization can be written as -shown on Figures~\ref{isosltac1} and~\ref{isosltac2}. The algorithm is quite -simple. Types are reduced using axioms that can be oriented (this done by {\tt -MainSimplif}). The normal forms are sequences of Cartesian -products without Cartesian product in the left component. These normal forms -are then compared modulo permutation of the components (this is done by {\tt -CompareStruct}). The main tactic to be called and realizing this algorithm is -{\tt IsoProve}. - -% Figure~\ref{isoslem} gives -Here are examples of what can be solved by {\tt IsoProve}. -%\begin{figure}[ht] -%\begin{centerframe} -\begin{coq_example*} -Lemma isos_ex1 : - forall A B:Set, A * unit * B = B * (unit * A). -Proof. -intros; IsoProve. -Qed. - -Lemma isos_ex2 : - forall A B C:Set, - (A * unit -> B * (C * unit)) = - (A * unit -> (C -> unit) * C) * (unit -> A -> B). -Proof. -intros; IsoProve. -Qed. -\end{coq_example*} -%\end{centerframe} -%\caption{Type equalities solved by {\tt IsoProve}} -%\label{isoslem} -%\end{figure} - -%%% Local Variables: -%%% mode: latex -%%% TeX-master: "Reference-Manual" -%%% End: diff --git a/doc/refman/Reference-Manual.tex b/doc/refman/Reference-Manual.tex index 85364870b..e63e6731e 100644 --- a/doc/refman/Reference-Manual.tex +++ b/doc/refman/Reference-Manual.tex @@ -102,7 +102,6 @@ Options A and B of the licence are {\em not} elected.} \include{RefMan-oth.v}% Vernacular commands \include{RefMan-pro.v}% Proof handling \include{RefMan-ltac.v}% Writing tactics -\include{RefMan-tacex.v}% Detailed Examples of tactics \lstset{language=SSR} \lstset{moredelim=[is][]{|*}{*|}} diff --git a/doc/sphinx/proof-engine/detailed-tactic-examples.rst b/doc/sphinx/proof-engine/detailed-tactic-examples.rst new file mode 100644 index 000000000..7cdb1a527 --- /dev/null +++ b/doc/sphinx/proof-engine/detailed-tactic-examples.rst @@ -0,0 +1,930 @@ +\chapter[Detailed examples of tactics]{Detailed examples of tactics\label{Tactics-examples}} +%HEVEA\cutname{tactic-examples.html} + +This chapter presents detailed examples of certain tactics, to +illustrate their behavior. + +\section[\tt dependent induction]{\tt dependent induction\label{dependent-induction-example}} +\def\depind{{\tt dependent induction}~} +\def\depdestr{{\tt dependent destruction}~} + +The tactics \depind and \depdestr are another solution for inverting +inductive predicate instances and potentially doing induction at the +same time. It is based on the \texttt{BasicElim} tactic of Conor McBride which +works by abstracting each argument of an inductive instance by a variable +and constraining it by equalities afterwards. This way, the usual +{\tt induction} and {\tt destruct} tactics can be applied to the +abstracted instance and after simplification of the equalities we get +the expected goals. + +The abstracting tactic is called {\tt generalize\_eqs} and it takes as +argument an hypothesis to generalize. It uses the {\tt JMeq} datatype +defined in {\tt Coq.Logic.JMeq}, hence we need to require it before. +For example, revisiting the first example of the inversion documentation above: + +\begin{coq_example*} +Require Import Coq.Logic.JMeq. +\end{coq_example*} +\begin{coq_eval} +Require Import Coq.Program.Equality. +\end{coq_eval} + +\begin{coq_eval} +Inductive Le : nat -> nat -> Set := + | LeO : forall n:nat, Le 0 n + | LeS : forall n m:nat, Le n m -> Le (S n) (S m). +Variable P : nat -> nat -> Prop. +Variable Q : forall n m:nat, Le n m -> Prop. +\end{coq_eval} + +\begin{coq_example*} +Goal forall n m:nat, Le (S n) m -> P n m. +intros n m H. +\end{coq_example*} +\begin{coq_example} +generalize_eqs H. +\end{coq_example} + +The index {\tt S n} gets abstracted by a variable here, but a +corresponding equality is added under the abstract instance so that no +information is actually lost. The goal is now almost amenable to do induction +or case analysis. One should indeed first move {\tt n} into the goal to +strengthen it before doing induction, or {\tt n} will be fixed in +the inductive hypotheses (this does not matter for case analysis). +As a rule of thumb, all the variables that appear inside constructors in +the indices of the hypothesis should be generalized. This is exactly +what the \texttt{generalize\_eqs\_vars} variant does: + +\begin{coq_eval} +Undo 1. +\end{coq_eval} +\begin{coq_example} +generalize_eqs_vars H. +induction H. +\end{coq_example} + +As the hypothesis itself did not appear in the goal, we did not need to +use an heterogeneous equality to relate the new hypothesis to the old +one (which just disappeared here). However, the tactic works just as well +in this case, e.g.: + +\begin{coq_eval} +Admitted. +\end{coq_eval} + +\begin{coq_example} +Goal forall n m (p : Le (S n) m), Q (S n) m p. +intros n m p ; generalize_eqs_vars p. +\end{coq_example} + +One drawback of this approach is that in the branches one will have to +substitute the equalities back into the instance to get the right +assumptions. Sometimes injection of constructors will also be needed to +recover the needed equalities. Also, some subgoals should be directly +solved because of inconsistent contexts arising from the constraints on +indexes. The nice thing is that we can make a tactic based on +discriminate, injection and variants of substitution to automatically +do such simplifications (which may involve the K axiom). +This is what the {\tt simplify\_dep\_elim} tactic from +{\tt Coq.Program.Equality} does. For example, we might simplify the +previous goals considerably: +% \begin{coq_eval} +% Abort. +% Goal forall n m:nat, Le (S n) m -> P n m. +% intros n m H ; generalize_eqs_vars H. +% \end{coq_eval} + +\begin{coq_example} +induction p ; simplify_dep_elim. +\end{coq_example} + +The higher-order tactic {\tt do\_depind} defined in {\tt + Coq.Program.Equality} takes a tactic and combines the +building blocks we have seen with it: generalizing by equalities +calling the given tactic with the +generalized induction hypothesis as argument and cleaning the subgoals +with respect to equalities. Its most important instantiations are +\depind and \depdestr that do induction or simply case analysis on the +generalized hypothesis. For example we can redo what we've done manually +with \depdestr: + +\begin{coq_eval} +Abort. +\end{coq_eval} +\begin{coq_example*} +Require Import Coq.Program.Equality. +Lemma ex : forall n m:nat, Le (S n) m -> P n m. +intros n m H. +\end{coq_example*} +\begin{coq_example} +dependent destruction H. +\end{coq_example} +\begin{coq_eval} +Abort. +\end{coq_eval} + +This gives essentially the same result as inversion. Now if the +destructed hypothesis actually appeared in the goal, the tactic would +still be able to invert it, contrary to {\tt dependent + inversion}. Consider the following example on vectors: + +\begin{coq_example*} +Require Import Coq.Program.Equality. +Set Implicit Arguments. +Variable A : Set. +Inductive vector : nat -> Type := +| vnil : vector 0 +| vcons : A -> forall n, vector n -> vector (S n). +Goal forall n, forall v : vector (S n), + exists v' : vector n, exists a : A, v = vcons a v'. + intros n v. +\end{coq_example*} +\begin{coq_example} + dependent destruction v. +\end{coq_example} +\begin{coq_eval} +Abort. +\end{coq_eval} + +In this case, the {\tt v} variable can be replaced in the goal by the +generalized hypothesis only when it has a type of the form {\tt vector + (S n)}, that is only in the second case of the {\tt destruct}. The +first one is dismissed because {\tt S n <> 0}. + +\subsection{A larger example} + +Let's see how the technique works with {\tt induction} on inductive +predicates on a real example. We will develop an example application to the +theory of simply-typed lambda-calculus formalized in a dependently-typed style: + +\begin{coq_example*} +Inductive type : Type := +| base : type +| arrow : type -> type -> type. +Notation " t --> t' " := (arrow t t') (at level 20, t' at next level). +Inductive ctx : Type := +| empty : ctx +| snoc : ctx -> type -> ctx. +Notation " G , tau " := (snoc G tau) (at level 20, tau at next level). +Fixpoint conc (G D : ctx) : ctx := + match D with + | empty => G + | snoc D' x => snoc (conc G D') x + end. +Notation " G ; D " := (conc G D) (at level 20). +Inductive term : ctx -> type -> Type := +| ax : forall G tau, term (G, tau) tau +| weak : forall G tau, + term G tau -> forall tau', term (G, tau') tau +| abs : forall G tau tau', + term (G , tau) tau' -> term G (tau --> tau') +| app : forall G tau tau', + term G (tau --> tau') -> term G tau -> term G tau'. +\end{coq_example*} + +We have defined types and contexts which are snoc-lists of types. We +also have a {\tt conc} operation that concatenates two contexts. +The {\tt term} datatype represents in fact the possible typing +derivations of the calculus, which are isomorphic to the well-typed +terms, hence the name. A term is either an application of: +\begin{itemize} +\item the axiom rule to type a reference to the first variable in a context, +\item the weakening rule to type an object in a larger context +\item the abstraction or lambda rule to type a function +\item the application to type an application of a function to an argument +\end{itemize} + +Once we have this datatype we want to do proofs on it, like weakening: + +\begin{coq_example*} +Lemma weakening : forall G D tau, term (G ; D) tau -> + forall tau', term (G , tau' ; D) tau. +\end{coq_example*} +\begin{coq_eval} + Abort. +\end{coq_eval} + +The problem here is that we can't just use {\tt induction} on the typing +derivation because it will forget about the {\tt G ; D} constraint +appearing in the instance. A solution would be to rewrite the goal as: +\begin{coq_example*} +Lemma weakening' : forall G' tau, term G' tau -> + forall G D, (G ; D) = G' -> + forall tau', term (G, tau' ; D) tau. +\end{coq_example*} +\begin{coq_eval} + Abort. +\end{coq_eval} + +With this proper separation of the index from the instance and the right +induction loading (putting {\tt G} and {\tt D} after the inducted-on +hypothesis), the proof will go through, but it is a very tedious +process. One is also forced to make a wrapper lemma to get back the +more natural statement. The \depind tactic alleviates this trouble by +doing all of this plumbing of generalizing and substituting back automatically. +Indeed we can simply write: + +\begin{coq_example*} +Require Import Coq.Program.Tactics. +Lemma weakening : forall G D tau, term (G ; D) tau -> + forall tau', term (G , tau' ; D) tau. +Proof with simpl in * ; simpl_depind ; auto. + intros G D tau H. dependent induction H generalizing G D ; intros. +\end{coq_example*} + +This call to \depind has an additional arguments which is a list of +variables appearing in the instance that should be generalized in the +goal, so that they can vary in the induction hypotheses. By default, all +variables appearing inside constructors (except in a parameter position) +of the instantiated hypothesis will be generalized automatically but +one can always give the list explicitly. + +\begin{coq_example} + Show. +\end{coq_example} + +The {\tt simpl\_depind} tactic includes an automatic tactic that tries +to simplify equalities appearing at the beginning of induction +hypotheses, generally using trivial applications of +reflexivity. In cases where the equality is not between constructor +forms though, one must help the automation by giving +some arguments, using the {\tt specialize} tactic for example. + +\begin{coq_example*} +destruct D... apply weak ; apply ax. apply ax. +destruct D... +\end{coq_example*} +\begin{coq_example} +Show. +\end{coq_example} +\begin{coq_example} + specialize (IHterm G0 empty eq_refl). +\end{coq_example} + +Once the induction hypothesis has been narrowed to the right equality, +it can be used directly. + +\begin{coq_example} + apply weak, IHterm. +\end{coq_example} + +If there is an easy first-order solution to these equations as in this subgoal, the +{\tt specialize\_eqs} tactic can be used instead of giving explicit proof +terms: + +\begin{coq_example} + specialize_eqs IHterm. +\end{coq_example} +This concludes our example. +\SeeAlso The induction \ref{elim}, case \ref{case} and inversion \ref{inversion} tactics. + +\section[\tt autorewrite]{\tt autorewrite\label{autorewrite-example}} + +Here are two examples of {\tt autorewrite} use. The first one ({\em Ackermann +function}) shows actually a quite basic use where there is no conditional +rewriting. The second one ({\em Mac Carthy function}) involves conditional +rewritings and shows how to deal with them using the optional tactic of the +{\tt Hint~Rewrite} command. + +\firstexample +\example{Ackermann function} +%Here is a basic use of {\tt AutoRewrite} with the Ackermann function: + +\begin{coq_example*} +Reset Initial. +Require Import Arith. +Variable Ack : + nat -> nat -> nat. +Axiom Ack0 : + forall m:nat, Ack 0 m = S m. +Axiom Ack1 : forall n:nat, Ack (S n) 0 = Ack n 1. +Axiom Ack2 : forall n m:nat, Ack (S n) (S m) = Ack n (Ack (S n) m). +\end{coq_example*} + +\begin{coq_example} +Hint Rewrite Ack0 Ack1 Ack2 : base0. +Lemma ResAck0 : + Ack 3 2 = 29. +autorewrite with base0 using try reflexivity. +\end{coq_example} + +\begin{coq_eval} +Reset Initial. +\end{coq_eval} + +\example{Mac Carthy function} +%The Mac Carthy function shows a more complex case: + +\begin{coq_example*} +Require Import Omega. +Variable g : + nat -> nat -> nat. +Axiom g0 : + forall m:nat, g 0 m = m. +Axiom + g1 : + forall n m:nat, + (n > 0) -> (m > 100) -> g n m = g (pred n) (m - 10). +Axiom + g2 : + forall n m:nat, + (n > 0) -> (m <= 100) -> g n m = g (S n) (m + 11). +\end{coq_example*} + +\begin{coq_example} +Hint Rewrite g0 g1 g2 using omega : base1. +Lemma Resg0 : + g 1 110 = 100. +autorewrite with base1 using reflexivity || simpl. +\end{coq_example} + +\begin{coq_eval} +Abort. +\end{coq_eval} + +\begin{coq_example} +Lemma Resg1 : g 1 95 = 91. +autorewrite with base1 using reflexivity || simpl. +\end{coq_example} + +\begin{coq_eval} +Reset Initial. +\end{coq_eval} + +\section[\tt quote]{\tt quote\tacindex{quote} +\label{quote-examples}} + +The tactic \texttt{quote} allows using Barendregt's so-called +2-level approach without writing any ML code. Suppose you have a +language \texttt{L} of +'abstract terms' and a type \texttt{A} of 'concrete terms' +and a function \texttt{f : L -> A}. If \texttt{L} is a simple +inductive datatype and \texttt{f} a simple fixpoint, \texttt{quote f} +will replace the head of current goal by a convertible term of the form +\texttt{(f t)}. \texttt{L} must have a constructor of type: \texttt{A + -> L}. + +Here is an example: + +\begin{coq_example} +Require Import Quote. +Parameters A B C : Prop. +Inductive formula : Type := + | f_and : formula -> formula -> formula (* binary constructor *) + | f_or : formula -> formula -> formula + | f_not : formula -> formula (* unary constructor *) + | f_true : formula (* 0-ary constructor *) + | f_const : Prop -> formula (* constructor for constants *). +Fixpoint interp_f (f: + formula) : Prop := + match f with + | f_and f1 f2 => interp_f f1 /\ interp_f f2 + | f_or f1 f2 => interp_f f1 \/ interp_f f2 + | f_not f1 => ~ interp_f f1 + | f_true => True + | f_const c => c + end. +Goal A /\ (A \/ True) /\ ~ B /\ (A <-> A). +quote interp_f. +\end{coq_example} + +The algorithm to perform this inversion is: try to match the +term with right-hand sides expression of \texttt{f}. If there is a +match, apply the corresponding left-hand side and call yourself +recursively on sub-terms. If there is no match, we are at a leaf: +return the corresponding constructor (here \texttt{f\_const}) applied +to the term. + +\begin{ErrMsgs} +\item \errindex{quote: not a simple fixpoint} \\ + Happens when \texttt{quote} is not able to perform inversion properly. +\end{ErrMsgs} + +\subsection{Introducing variables map} + +The normal use of \texttt{quote} is to make proofs by reflection: one +defines a function \texttt{simplify : formula -> formula} and proves a +theorem \texttt{simplify\_ok: (f:formula)(interp\_f (simplify f)) -> + (interp\_f f)}. Then, one can simplify formulas by doing: +\begin{verbatim} + quote interp_f. + apply simplify_ok. + compute. +\end{verbatim} +But there is a problem with leafs: in the example above one cannot +write a function that implements, for example, the logical simplifications +$A \land A \ra A$ or $A \land \lnot A \ra \texttt{False}$. This is +because the \Prop{} is impredicative. + +It is better to use that type of formulas: + +\begin{coq_eval} +Reset formula. +\end{coq_eval} +\begin{coq_example} +Inductive formula : Set := + | f_and : formula -> formula -> formula + | f_or : formula -> formula -> formula + | f_not : formula -> formula + | f_true : formula + | f_atom : index -> formula. +\end{coq_example*} + +\texttt{index} is defined in module \texttt{quote}. Equality on that +type is decidable so we are able to simplify $A \land A$ into $A$ at +the abstract level. + +When there are variables, there are bindings, and \texttt{quote} +provides also a type \texttt{(varmap A)} of bindings from +\texttt{index} to any set \texttt{A}, and a function +\texttt{varmap\_find} to search in such maps. The interpretation +function has now another argument, a variables map: + +\begin{coq_example} +Fixpoint interp_f (vm: + varmap Prop) (f:formula) {struct f} : Prop := + match f with + | f_and f1 f2 => interp_f vm f1 /\ interp_f vm f2 + | f_or f1 f2 => interp_f vm f1 \/ interp_f vm f2 + | f_not f1 => ~ interp_f vm f1 + | f_true => True + | f_atom i => varmap_find True i vm + end. +\end{coq_example} + +\noindent\texttt{quote} handles this second case properly: + +\begin{coq_example} +Goal A /\ (B \/ A) /\ (A \/ ~ B). +quote interp_f. +\end{coq_example} + +It builds \texttt{vm} and \texttt{t} such that \texttt{(f vm t)} is +convertible with the conclusion of current goal. + +\subsection{Combining variables and constants} + +One can have both variables and constants in abstracts terms; that is +the case, for example, for the \texttt{ring} tactic (chapter +\ref{ring}). Then one must provide to \texttt{quote} a list of +\emph{constructors of constants}. For example, if the list is +\texttt{[O S]} then closed natural numbers will be considered as +constants and other terms as variables. + +Example: + +\begin{coq_eval} +Reset formula. +\end{coq_eval} +\begin{coq_example*} +Inductive formula : Type := + | f_and : formula -> formula -> formula + | f_or : formula -> formula -> formula + | f_not : formula -> formula + | f_true : formula + | f_const : Prop -> formula (* constructor for constants *) + | f_atom : index -> formula. +Fixpoint interp_f + (vm: (* constructor for variables *) + varmap Prop) (f:formula) {struct f} : Prop := + match f with + | f_and f1 f2 => interp_f vm f1 /\ interp_f vm f2 + | f_or f1 f2 => interp_f vm f1 \/ interp_f vm f2 + | f_not f1 => ~ interp_f vm f1 + | f_true => True + | f_const c => c + | f_atom i => varmap_find True i vm + end. +Goal +A /\ (A \/ True) /\ ~ B /\ (C <-> C). +\end{coq_example*} + +\begin{coq_example} +quote interp_f [ A B ]. +Undo. + quote interp_f [ B C iff ]. +\end{coq_example} + +\Warning Since function inversion +is undecidable in general case, don't expect miracles from it! + +\begin{Variants} + +\item {\tt quote {\ident} in {\term} using {\tac}} + + \tac\ must be a functional tactic (starting with {\tt fun x =>}) + and will be called with the quoted version of \term\ according to + \ident. + +\item {\tt quote {\ident} [ \ident$_1$ \dots\ \ident$_n$ ] in {\term} using {\tac}} + + Same as above, but will use \ident$_1$, \dots, \ident$_n$ to + chose which subterms are constants (see above). + +\end{Variants} + +% \SeeAlso file \texttt{theories/DEMOS/DemoQuote.v} + +\SeeAlso comments of source file \texttt{plugins/quote/quote.ml} + +\SeeAlso the \texttt{ring} tactic (Chapter~\ref{ring}) + + + +\section{Using the tactical language} + +\subsection{About the cardinality of the set of natural numbers} + +A first example which shows how to use the pattern matching over the proof +contexts is the proof that natural numbers have more than two elements. The +proof of such a lemma can be done as %shown on Figure~\ref{cnatltac}. +follows: +%\begin{figure} +%\begin{centerframe} +\begin{coq_eval} +Reset Initial. +Require Import Arith. +Require Import List. +\end{coq_eval} +\begin{coq_example*} +Lemma card_nat : + ~ (exists x : nat, exists y : nat, forall z:nat, x = z \/ y = z). +Proof. +red; intros (x, (y, Hy)). +elim (Hy 0); elim (Hy 1); elim (Hy 2); intros; + match goal with + | [_:(?a = ?b),_:(?a = ?c) |- _ ] => + cut (b = c); [ discriminate | transitivity a; auto ] + end. +Qed. +\end{coq_example*} +%\end{centerframe} +%\caption{A proof on cardinality of natural numbers} +%\label{cnatltac} +%\end{figure} + +We can notice that all the (very similar) cases coming from the three +eliminations (with three distinct natural numbers) are successfully solved by +a {\tt match goal} structure and, in particular, with only one pattern (use +of non-linear matching). + +\subsection{Permutation on closed lists} + +Another more complex example is the problem of permutation on closed lists. The +aim is to show that a closed list is a permutation of another one. + +First, we define the permutation predicate as shown in table~\ref{permutpred}. + +\begin{figure} +\begin{centerframe} +\begin{coq_example*} +Section Sort. +Variable A : Set. +Inductive permut : list A -> list A -> Prop := + | permut_refl : forall l, permut l l + | permut_cons : + forall a l0 l1, permut l0 l1 -> permut (a :: l0) (a :: l1) + | permut_append : forall a l, permut (a :: l) (l ++ a :: nil) + | permut_trans : + forall l0 l1 l2, permut l0 l1 -> permut l1 l2 -> permut l0 l2. +End Sort. +\end{coq_example*} +\end{centerframe} +\caption{Definition of the permutation predicate} +\label{permutpred} +\end{figure} + +A more complex example is the problem of permutation on closed lists. +The aim is to show that a closed list is a permutation of another one. +First, we define the permutation predicate as shown on +Figure~\ref{permutpred}. + +\begin{figure} +\begin{centerframe} +\begin{coq_example} +Ltac Permut n := + match goal with + | |- (permut _ ?l ?l) => apply permut_refl + | |- (permut _ (?a :: ?l1) (?a :: ?l2)) => + let newn := eval compute in (length l1) in + (apply permut_cons; Permut newn) + | |- (permut ?A (?a :: ?l1) ?l2) => + match eval compute in n with + | 1 => fail + | _ => + let l1' := constr:(l1 ++ a :: nil) in + (apply (permut_trans A (a :: l1) l1' l2); + [ apply permut_append | compute; Permut (pred n) ]) + end + end. +Ltac PermutProve := + match goal with + | |- (permut _ ?l1 ?l2) => + match eval compute in (length l1 = length l2) with + | (?n = ?n) => Permut n + end + end. +\end{coq_example} +\end{centerframe} +\caption{Permutation tactic} +\label{permutltac} +\end{figure} + +Next, we can write naturally the tactic and the result can be seen on +Figure~\ref{permutltac}. We can notice that we use two toplevel +definitions {\tt PermutProve} and {\tt Permut}. The function to be +called is {\tt PermutProve} which computes the lengths of the two +lists and calls {\tt Permut} with the length if the two lists have the +same length. {\tt Permut} works as expected. If the two lists are +equal, it concludes. Otherwise, if the lists have identical first +elements, it applies {\tt Permut} on the tail of the lists. Finally, +if the lists have different first elements, it puts the first element +of one of the lists (here the second one which appears in the {\tt + permut} predicate) at the end if that is possible, i.e., if the new +first element has been at this place previously. To verify that all +rotations have been done for a list, we use the length of the list as +an argument for {\tt Permut} and this length is decremented for each +rotation down to, but not including, 1 because for a list of length +$n$, we can make exactly $n-1$ rotations to generate at most $n$ +distinct lists. Here, it must be noticed that we use the natural +numbers of {\Coq} for the rotation counter. On Figure~\ref{ltac}, we +can see that it is possible to use usual natural numbers but they are +only used as arguments for primitive tactics and they cannot be +handled, in particular, we cannot make computations with them. So, a +natural choice is to use {\Coq} data structures so that {\Coq} makes +the computations (reductions) by {\tt eval compute in} and we can get +the terms back by {\tt match}. + +With {\tt PermutProve}, we can now prove lemmas as +% shown on Figure~\ref{permutlem}. +follows: +%\begin{figure} +%\begin{centerframe} + +\begin{coq_example*} +Lemma permut_ex1 : + permut nat (1 :: 2 :: 3 :: nil) (3 :: 2 :: 1 :: nil). +Proof. PermutProve. Qed. +Lemma permut_ex2 : + permut nat + (0 :: 1 :: 2 :: 3 :: 4 :: 5 :: 6 :: 7 :: 8 :: 9 :: nil) + (0 :: 2 :: 4 :: 6 :: 8 :: 9 :: 7 :: 5 :: 3 :: 1 :: nil). +Proof. PermutProve. Qed. +\end{coq_example*} +%\end{centerframe} +%\caption{Examples of {\tt PermutProve} use} +%\label{permutlem} +%\end{figure} + + +\subsection{Deciding intuitionistic propositional logic} + +\begin{figure}[b] +\begin{centerframe} +\begin{coq_example} +Ltac Axioms := + match goal with + | |- True => trivial + | _:False |- _ => elimtype False; assumption + | _:?A |- ?A => auto + end. +\end{coq_example} +\end{centerframe} +\caption{Deciding intuitionistic propositions (1)} +\label{tautoltaca} +\end{figure} + + +\begin{figure} +\begin{centerframe} +\begin{coq_example} +Ltac DSimplif := + repeat + (intros; + match goal with + | id:(~ _) |- _ => red in id + | id:(_ /\ _) |- _ => + elim id; do 2 intro; clear id + | id:(_ \/ _) |- _ => + elim id; intro; clear id + | id:(?A /\ ?B -> ?C) |- _ => + cut (A -> B -> C); + [ intro | intros; apply id; split; assumption ] + | id:(?A \/ ?B -> ?C) |- _ => + cut (B -> C); + [ cut (A -> C); + [ intros; clear id + | intro; apply id; left; assumption ] + | intro; apply id; right; assumption ] + | id0:(?A -> ?B),id1:?A |- _ => + cut B; [ intro; clear id0 | apply id0; assumption ] + | |- (_ /\ _) => split + | |- (~ _) => red + end). +Ltac TautoProp := + DSimplif; + Axioms || + match goal with + | id:((?A -> ?B) -> ?C) |- _ => + cut (B -> C); + [ intro; cut (A -> B); + [ intro; cut C; + [ intro; clear id | apply id; assumption ] + | clear id ] + | intro; apply id; intro; assumption ]; TautoProp + | id:(~ ?A -> ?B) |- _ => + cut (False -> B); + [ intro; cut (A -> False); + [ intro; cut B; + [ intro; clear id | apply id; assumption ] + | clear id ] + | intro; apply id; red; intro; assumption ]; TautoProp + | |- (_ \/ _) => (left; TautoProp) || (right; TautoProp) + end. +\end{coq_example} +\end{centerframe} +\caption{Deciding intuitionistic propositions (2)} +\label{tautoltacb} +\end{figure} + +The pattern matching on goals allows a complete and so a powerful +backtracking when returning tactic values. An interesting application +is the problem of deciding intuitionistic propositional logic. +Considering the contraction-free sequent calculi {\tt LJT*} of +Roy~Dyckhoff (\cite{Dyc92}), it is quite natural to code such a tactic +using the tactic language as shown on Figures~\ref{tautoltaca} +and~\ref{tautoltacb}. The tactic {\tt Axioms} tries to conclude using +usual axioms. The tactic {\tt DSimplif} applies all the reversible +rules of Dyckhoff's system. Finally, the tactic {\tt TautoProp} (the +main tactic to be called) simplifies with {\tt DSimplif}, tries to +conclude with {\tt Axioms} and tries several paths using the +backtracking rules (one of the four Dyckhoff's rules for the left +implication to get rid of the contraction and the right or). + +For example, with {\tt TautoProp}, we can prove tautologies like + those: +% on Figure~\ref{tautolem}. +%\begin{figure}[tbp] +%\begin{centerframe} +\begin{coq_example*} +Lemma tauto_ex1 : forall A B:Prop, A /\ B -> A \/ B. +Proof. TautoProp. Qed. +Lemma tauto_ex2 : + forall A B:Prop, (~ ~ B -> B) -> (A -> B) -> ~ ~ A -> B. +Proof. TautoProp. Qed. +\end{coq_example*} +%\end{centerframe} +%\caption{Proofs of tautologies with {\tt TautoProp}} +%\label{tautolem} +%\end{figure} + +\subsection{Deciding type isomorphisms} + +A more tricky problem is to decide equalities between types and modulo +isomorphisms. Here, we choose to use the isomorphisms of the simply typed +$\lb{}$-calculus with Cartesian product and $unit$ type (see, for example, +\cite{RC95}). The axioms of this $\lb{}$-calculus are given by +table~\ref{isosax}. + +\begin{figure} +\begin{centerframe} +\begin{coq_eval} +Reset Initial. +\end{coq_eval} +\begin{coq_example*} +Open Scope type_scope. +Section Iso_axioms. +Variables A B C : Set. +Axiom Com : A * B = B * A. +Axiom Ass : A * (B * C) = A * B * C. +Axiom Cur : (A * B -> C) = (A -> B -> C). +Axiom Dis : (A -> B * C) = (A -> B) * (A -> C). +Axiom P_unit : A * unit = A. +Axiom AR_unit : (A -> unit) = unit. +Axiom AL_unit : (unit -> A) = A. +Lemma Cons : B = C -> A * B = A * C. +Proof. +intro Heq; rewrite Heq; reflexivity. +Qed. +End Iso_axioms. +\end{coq_example*} +\end{centerframe} +\caption{Type isomorphism axioms} +\label{isosax} +\end{figure} + +A more tricky problem is to decide equalities between types and modulo +isomorphisms. Here, we choose to use the isomorphisms of the simply typed +$\lb{}$-calculus with Cartesian product and $unit$ type (see, for example, +\cite{RC95}). The axioms of this $\lb{}$-calculus are given on +Figure~\ref{isosax}. + +\begin{figure}[ht] +\begin{centerframe} +\begin{coq_example} +Ltac DSimplif trm := + match trm with + | (?A * ?B * ?C) => + rewrite <- (Ass A B C); try MainSimplif + | (?A * ?B -> ?C) => + rewrite (Cur A B C); try MainSimplif + | (?A -> ?B * ?C) => + rewrite (Dis A B C); try MainSimplif + | (?A * unit) => + rewrite (P_unit A); try MainSimplif + | (unit * ?B) => + rewrite (Com unit B); try MainSimplif + | (?A -> unit) => + rewrite (AR_unit A); try MainSimplif + | (unit -> ?B) => + rewrite (AL_unit B); try MainSimplif + | (?A * ?B) => + (DSimplif A; try MainSimplif) || (DSimplif B; try MainSimplif) + | (?A -> ?B) => + (DSimplif A; try MainSimplif) || (DSimplif B; try MainSimplif) + end + with MainSimplif := + match goal with + | |- (?A = ?B) => try DSimplif A; try DSimplif B + end. +Ltac Length trm := + match trm with + | (_ * ?B) => let succ := Length B in constr:(S succ) + | _ => constr:(1) + end. +Ltac assoc := repeat rewrite <- Ass. +\end{coq_example} +\end{centerframe} +\caption{Type isomorphism tactic (1)} +\label{isosltac1} +\end{figure} + +\begin{figure}[ht] +\begin{centerframe} +\begin{coq_example} +Ltac DoCompare n := + match goal with + | [ |- (?A = ?A) ] => reflexivity + | [ |- (?A * ?B = ?A * ?C) ] => + apply Cons; let newn := Length B in + DoCompare newn + | [ |- (?A * ?B = ?C) ] => + match eval compute in n with + | 1 => fail + | _ => + pattern (A * B) at 1; rewrite Com; assoc; DoCompare (pred n) + end + end. +Ltac CompareStruct := + match goal with + | [ |- (?A = ?B) ] => + let l1 := Length A + with l2 := Length B in + match eval compute in (l1 = l2) with + | (?n = ?n) => DoCompare n + end + end. +Ltac IsoProve := MainSimplif; CompareStruct. +\end{coq_example} +\end{centerframe} +\caption{Type isomorphism tactic (2)} +\label{isosltac2} +\end{figure} + +The tactic to judge equalities modulo this axiomatization can be written as +shown on Figures~\ref{isosltac1} and~\ref{isosltac2}. The algorithm is quite +simple. Types are reduced using axioms that can be oriented (this done by {\tt +MainSimplif}). The normal forms are sequences of Cartesian +products without Cartesian product in the left component. These normal forms +are then compared modulo permutation of the components (this is done by {\tt +CompareStruct}). The main tactic to be called and realizing this algorithm is +{\tt IsoProve}. + +% Figure~\ref{isoslem} gives +Here are examples of what can be solved by {\tt IsoProve}. +%\begin{figure}[ht] +%\begin{centerframe} +\begin{coq_example*} +Lemma isos_ex1 : + forall A B:Set, A * unit * B = B * (unit * A). +Proof. +intros; IsoProve. +Qed. + +Lemma isos_ex2 : + forall A B C:Set, + (A * unit -> B * (C * unit)) = + (A * unit -> (C -> unit) * C) * (unit -> A -> B). +Proof. +intros; IsoProve. +Qed. +\end{coq_example*} +%\end{centerframe} +%\caption{Type equalities solved by {\tt IsoProve}} +%\label{isoslem} +%\end{figure} + +%%% Local Variables: +%%% mode: latex +%%% TeX-master: "Reference-Manual" +%%% End: -- cgit v1.2.3