(* Title: Sequents/prover.ML Author: Lawrence C Paulson, Cambridge University Computer Laboratory Copyright 1992 University of Cambridge
Simple classical reasoner for the sequent calculus, based on "theorem packs".
*)
signature CLA = sig type pack val empty_pack: pack val get_pack: Proof.context -> pack val put_pack: pack -> Proof.context -> Proof.context val pretty_pack: Proof.context -> Pretty.T val add_safe: thm -> Proof.context -> Proof.context val add_unsafe: thm -> Proof.context -> Proof.context val safe_add: attribute val unsafe_add: attribute val method: (Proof.context -> int -> tactic) -> (Proof.context -> Proof.method) context_parser val trace: bool Config.T val forms_of_seq: term -> term list val safe_tac: Proof.context -> int -> tactic val step_tac: Proof.context -> int -> tactic val pc_tac: Proof.context -> int -> tactic val fast_tac: Proof.context -> int -> tactic val best_tac: Proof.context -> int -> tactic end;
structure Cla: CLA = struct
(** rule declarations **)
(*A theorem pack has the form (safe rules, unsafe rules) An unsafe rule is incomplete or introduces variables in subgoals,
and is tried only when the safe rules are not applicable. *)
fun less (rl1, rl2) = Thm.nprems_of rl1 < Thm.nprems_of rl2; val sort_rules = sort (make_ord less);
datatype pack = Pack of thm list * thm list;
val empty_pack = Pack ([], []);
structure Pack = Generic_Data
( type T = pack; val empty = empty_pack; fun merge (Pack (safes, unsafes), Pack (safes', unsafes')) =
Pack
(sort_rules (Thm.merge_thms (safes, safes')),
sort_rules (Thm.merge_thms (unsafes, unsafes')));
);
val put_pack = Context.proof_map o Pack.put; val get_pack = Pack.get o Context.Proof; fun get_rules ctxt = letval Pack rules = get_pack ctxt in rules end;
val _ =
Outer_Syntax.command \<^command_keyword>\<open>print_pack\<close> "print pack of classical rules"
(Scan.succeed (Toplevel.keep (Pretty.writeln o pretty_pack o Toplevel.context_of)));
(* declare rules *)
fun add_rule which th context = context |> Pack.map (fn Pack rules =>
Pack (rules |> which (fn ths => if member Thm.eq_thm_prop ths th then let val _ =
(case context of
Context.Proof ctxt => if Context_Position.is_really_visible ctxt then
warning ("Ignoring duplicate theorems:\n" ^ Thm.string_of_thm ctxt th) else ()
| _ => ()); in ths end else sort_rules (th :: ths))));
val add_safe = Context.proof_map o add_rule apfst; val add_unsafe = Context.proof_map o add_rule apsnd;
(* attributes *)
val safe_add = Thm.declaration_attribute (add_rule apfst); val unsafe_add = Thm.declaration_attribute (add_rule apsnd);
fun method tac =
Method.sections
[Args.$$$ "add" -- Args.bang_colon >> K (Method.modifier safe_add \<^here>),
Args.$$$ "add" -- Args.colon >> K (Method.modifier unsafe_add \<^here>)]
>> K (SIMPLE_METHOD' o tac);
(** tactics **)
val trace = Attrib.setup_config_bool \<^binding>\<open>cla_trace\<close> (K false);
(*Returns the list of all formulas in the sequent*) fun forms_of_seq \<^Const_>\<open>SeqO' for P u\ = P :: forms_of_seq u
| forms_of_seq (H $ u) = forms_of_seq u
| forms_of_seq _ = [];
(*Tests whether two sequences (left or right sides) could be resolved. seqp is a premise (subgoal), seqc is a conclusion of an object-rule. Assumes each formula in seqc is surrounded by sequence variables -- checks that each concl formula looks like some subgoal formula.
It SHOULD check order as well, using recursion rather than forall/exists*) fun could_res (seqp,seqc) =
forall (fn Qc => exists (fn Qp => Term.could_unify (Qp,Qc))
(forms_of_seq seqp))
(forms_of_seq seqc);
(*Tests whether two sequents or pairs of sequents could be resolved*) fun could_resolve_seq (prem,conc) = case (prem,conc) of
(_ $ Abs(_,_,leftp) $ Abs(_,_,rightp),
_ $ Abs(_,_,leftc) $ Abs(_,_,rightc)) =>
could_res (leftp,leftc) andalso could_res (rightp,rightc)
| (_ $ Abs(_,_,leftp) $ rightp,
_ $ Abs(_,_,leftc) $ rightc) =>
could_res (leftp,leftc) andalso Term.could_unify (rightp,rightc)
| _ => false;
(*Like filt_resolve_tac, using could_resolve_seq Much faster than resolve_tac when there are many rules.
Resolve subgoal i using the rules, unless more than maxr are compatible. *) fun filseq_resolve_tac ctxt rules maxr = SUBGOAL(fn (prem,i) => letval rls = filter_thms could_resolve_seq (maxr+1, prem, rules) inif length rls > maxr then no_tac else(*((rtac derelict 1 THEN rtac impl 1 THEN (rtac identity 2 ORELSE rtac ll_mp 2) THEN rtac context1 1)
ORELSE *) end);
(*Predicate: does the rule have n premises? *) fun has_prems n rule = (Thm.nprems_of rule = n);
(*Continuation-style tactical for resolution. The list of rules is partitioned into 0, 1, 2 premises. The resulting tactic, gtac, tries to resolve with rules. If successful, it recursively applies nextac to the new subgoals only. Else fails. (Treatment of goals due to Ph. de Groote)
Bind (RESOLVE_THEN rules) to a variable: it preprocesses the rules. *)
(*Takes rule lists separated in to 0, 1, 2, >2 premises. The abstraction over state prevents needless divergence in recursion.
The 9999 should be a parameter, to delay treatment of flexible goals. *)
fun RESOLVE_THEN ctxt rules = letval [rls0,rls1,rls2] = partition_list has_prems 0 2 rules; fun tac nextac i state = state |>
(filseq_resolve_tac ctxt rls0 9999 i
ORELSE
(DETERM(filseq_resolve_tac ctxt rls1 9999 i) THENTRY(nextac i))
ORELSE
(DETERM(filseq_resolve_tac ctxt rls2 9999 i) THENTRY(nextac(i+1)) THENTRY(nextac i))) in tac end;
(*repeated resolution applied to the designated goal*) fun reresolve_tac ctxt rules = let val restac = RESOLVE_THEN ctxt rules; (*preprocessing done now*) fun gtac i = restac gtac i; in gtac end;
(*tries the safe rules repeatedly before the unsafe rules. *) fun repeat_goal_tac ctxt = let val (safes, unsafes) = get_rules ctxt; val restac = RESOLVE_THEN ctxt safes; val lastrestac = RESOLVE_THEN ctxt unsafes; fun gtac i =
restac gtac i ORELSE
(if Config.get ctxt trace then print_tac ctxt ""THEN lastrestac gtac i else lastrestac gtac i) in gtac end;
(*Tries a safe rule or else a unsafe rule. Single-step for tracing. *) fun step_tac ctxt =
safe_tac ctxt ORELSE' filseq_resolve_tac ctxt (#2 (get_rules ctxt)) 9999;
(* Tactic for reducing a goal, using Predicate Calculus rules. A decision procedure for Propositional Calculus, it is incomplete for Predicate-Calculus because of allL_thin and exR_thin.
Fails if it can do nothing. *) fun pc_tac ctxt = SELECT_GOAL (DEPTH_SOLVE (repeat_goal_tac ctxt 1));
(*The following two tactics are analogous to those provided by
Provers/classical. In fact, pc_tac is usually FASTER than fast_tac!*) fun fast_tac ctxt =
SELECT_GOAL (DEPTH_SOLVE (step_tac ctxt 1));
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