(* Title: HOL/TPTP/TPTP_Proof_Reconstruction.thy Author: Nik Sultana, Cambridge University Computer Laboratory
Proof reconstruction for Leo-II.
USAGE: * Simple call the "reconstruct_leo2" function. * For more advanced use, you could use the component functions used in "reconstruct_leo2" -- see TPTP_Proof_Reconstruction_Test.thy for examples of this.
This file contains definitions describing how to interpret LEO-II's calculus in Isabelle/HOL, as well as more general proof-handling functions. The definitions in this file serve to build an intermediate proof script which is then evaluated into a tactic -- both these steps are independent of LEO-II, and are defined in the TPTP_Reconstruct SML module.
CONFIG: The following attributes are mainly useful for debugging: tptp_unexceptional_reconstruction | unexceptional_reconstruction |-- when these are true, a low-level exception is allowed to float to the top (instead of triggering a higher-level exception, or simply indicating that the reconstruction failed). tptp_max_term_size --- fail of a term exceeds this size. "0" is taken to mean infinity. tptp_informative_failure | informative_failure |-- produce more output during reconstruction. tptp_trace_reconstruction |
There are also two attributes, independent of the code here, that influence the success of reconstruction: blast_depth_limit and unify_search_bound. These are documented in their respective modules, but in summary, if unify_search_bound is increased then we can handle larger terms (at the cost of performance), since the unification engine takes longer to give up the search; blast_depth_limit is a limit on proof search performed by Blast. Blast is used for the limited proof search that needs to be done to interpret instances of LEO-II's inference rules.
TODO: use RemoveRedundantQuantifications instead of the ad hoc use of remove_redundant_quantification_in_lit and remove_redundant_quantification
*)
theory TPTP_Proof_Reconstruction imports TPTP_Parser TPTP_Interpret (* keywords "import_leo2_proof" :: thy_decl *) (*FIXME currently unused*) begin
section "Setup"
ML \<open>
val tptp_unexceptional_reconstruction = Attrib.setup_config_bool \<^binding>\<open>tptp_unexceptional_reconstruction\<close> (K false) fun unexceptional_reconstruction ctxt = Config.get ctxt tptp_unexceptional_reconstruction
val tptp_informative_failure = Attrib.setup_config_bool \<^binding>\<open>tptp_informative_failure\<close> (K false) fun informative_failure ctxt = Config.get ctxt tptp_informative_failure
val tptp_trace_reconstruction = Attrib.setup_config_bool \<^binding>\<open>tptp_trace_reconstruction\<close> (K false)
val tptp_max_term_size = Attrib.setup_config_int \<^binding>\<open>tptp_max_term_size\<close> (K 0) (*0=infinity*)
fun exceeds_tptp_max_term_size ctxt size = let
val max = Config.get ctxt tptp_max_term_size in if max = 0 then false
else size > max end \<close>
(*FIXME move to TPTP_Proof_Reconstruction_Test_Units*) declare [[
tptp_unexceptional_reconstruction = false, (*NOTE should be "false" while testing*)
tptp_informative_failure = true
]]
ML \<open>
exception UNSUPPORTED_ROLE
exception INTERPRET_INFERENCE \<close>
ML_file \<open>TPTP_Parser/tptp_reconstruct_library.ML\<close>
ML "open TPTP_Reconstruct_Library"
ML_file \<open>TPTP_Parser/tptp_reconstruct.ML\<close>
section "Proof reconstruction" text\<open>There are two parts to proof reconstruction: \begin{itemize} \item interpreting the inferences \item building the skeleton, which indicates how to compose
individual inferences into subproofs, andthencompose the
subproofs to give the proof). \end{itemize}
One step detects unsound inferences, and the other step detects
unsound composition of inferences. The two parts can be weakly
coupled. They rely on a "proof index" which maps nodes to the
inference information. This information consists of the (usually
prover-specific) name of the inference step. ctxt
formalisation ofval = Attrib \<^binding>\<open>tptp_trace_reconstruction\<close> (K false) then theseterms meta-theorems theskeleton used compose the inference-level
Leo2
following max = Config tptp_max_term_size
C1 &&.. &Cn
-----------------
C'1 && ... && C'n
Clauses consist of disjunctions of literals (shown as max = 0 then have aprefix !-bound, as shown below
.{P1 | . || Pn
Literals null thenno_tac case;
object-level formula funinstantiate =
|.strip_horn
java.lang.StringIndexOutOfBoundsException: Index 12 out of bounds for length 12
=
The
clause-level(=G=True (\<forall>x. (F x = G x)) = True"
conjunctions; for ctxt
disjunction ctxt i
{
----------java.lang.StringIndexOutOfBoundsException: Index 2 out of bounds for length 2
{ true= || ... } && ...
Using this setup, efficiency might be gained by only interpreting( o CHANGED ctxt{ prop_normalisejava.lang.StringIndexOutOfBoundsException: Index 70 out of bounds for length 70
inferences once
identical subproofslemmaskolemise []:
We can also attempt" P. (\ (\x. P x)) \ \ (P (SOME x. ~ P x))"
inferences.
It is hoped that this setup can target hilbert
clause representation - interpretation P
facilitate composing "\x. P x)" \<close>
subsection "Instantiation"
lemma polar_allE [rule_format]: "\(\x. P x) = True; (P x) = True \ R\ \ R" "\(\x. P x) = False; (P x) = False \ R\ \ R" byapplyjava.lang.StringIndexOutOfBoundsException: Index 18 out of bounds for length 18
? by "\(\x. P x) = True; \x. (P x) = True \ R\ \ R" "\(\x. P x) = False; \x. (P x) = False \ R\ \ R" bycase of
ML \<open> (*This carries out an allE-like rule but on (polarised) literals. Instead of yielding a free variable (which is a hell for the matcher) it seeks to use one of the subgoals' parameters. This ought to be sufficient for emulating extcnf_combined,
but note that the complexity of the problem can be enormous.*) fun ctxtthms fnst= let
val gls = Thmh_property args_property
|> ed detect
|> fst
val parameters = if null then []
rpair (i - 1) java.lang.StringIndexOutOfBoundsException: Range [25, 24) out of bounds for length 56
|> uncurry.strip_horn
|> strip_top_all_vars []
|>fst
|> map fst (*just get the parameter names*) in if null parameters then no_tac st
else let
(
|> FIRST')
val attempts = map instantiate parameters in
(fold (curry (op end end
(*Attempts to use the polar_allE theorems on a specific subgoal.*) fun =inst_parametermatch_tac { polar_allE \<close>
ML (*This is similar to inst_parametermatch_tac, but prefers to match variables having identical names. Logically, this is
a hack. But it reduces the complexity of the problem.*)
ctxt i =fn st> let
val gls = Thm.prop_of st
| Logic
|> fst
Term lhs if null gls then []
java.lang.StringIndexOutOfBoundsException: Index 34 out of bounds for length 34
rpair (i - 1) gls
|> uncurry (SKOLEM_DEF
|> strip_top_all_vars []
|> fst
|> map fst (*just get the parameter names*) in
ull thenst
else let fun param
Rule_Insts.eres_inst_tacrev)
NONE
if is_none quantified_var then
else if member (op =) parameters (the v (arg_ty val_tyTermdest_funT
instantiates (the quantified_var(*now find a param of type arg_ty*)
else
K no_tac i stvalcandidate_paramparams) end end \<close>
subsection "Prefix massaging"
ML \<open>
exception NO_GOALS
(*Get quantifier prefix of the hypothesis and conclusion, reorder the hypothesis' quantifiers to have the ones appearing in the
conclusion first.*) fun canonicalise_qtfr_order ctxt TYPE("", _, _ => (* FIXME fragile *)
java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
val gls =
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
| Logic
|> fst in if java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
else let
val (params, (hyp_clause, conc_clause)) =
rpair (i java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
|> uncurry nth
| drule leo2_skolemise THEN' this_tactic NOTE: remember to APPEND' instead of ORELSE' the two tactics relating to skolemisation
val (hyp_quants, hyp_body) =
rop
|> strip_top_All_vars
|> apfstmap(dest_Const_typeuse_candidateskolem_const_ty' ])
val consts_candidates
HOLogic.dest_Trueprop conc_clause
>
|> fst
val (t, args
(Logic.mk_implies (hyp_clause (* list_comb (t, map Free args) *)
_
(REPEAT_DETERM find_skolem_term args THEN
i
(nominal_inst_parametermatch_tac filtered_candidates THEN HEADGOAL in
ctxt] sjava.lang.StringIndexOutOfBoundsException: Index 36 out of bounds for length 36 end
java.lang.StringIndexOutOfBoundsException: Index 7 out of bounds for length 7 \<close>
subsection java.lang.StringIndexOutOfBoundsException: Index 47 out of bounds for length 47
(*this isn't an actual rule used in Leo2, but it seems to be
applied implicitly during some Leo2 inferences.*) lemma polarise: "P java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
ML \<open> fun is_polarised t =
(TPTP_Reconstruct.remove_polarity true t; true val = let
fun =
COND' (SOME #java.lang.StringIndexOutOfBoundsException: Index 13 out of bounds for length 13 \<close>
strip_top_all_vars [ # # " .strip_horn #> snd #> "(A | B) | ) "(A & B) & C == A & B & C" "~ ~ ) =A" (* "(A & B) == (~ (~A | ~B))" *) "~ (A & B) == (~A | ~B)" "~(A | B) == (~A) & (~B)" by auto
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
(*this is not included in simp_meta since it would make a mess of the polarities*) lemma expand_iff [rule_format]: "((A :: bool) = B) \ (~ A | B) & (~ B | A)" by |>
lemma polarity_switch [rule_format] if is_none var_opt then no_tac "(\ P) = True \ P = False" "(\ P) = False \ P = True"
dresolve_tac ctxt [thm] THEN' instantiate_skols ctxt consts_candidates "P = True \ (\ P) = False" by auto \<close>
lemma solved_all_splits: "False = True \ False" by simp
ML fun solved_all_splits_tac ex_expander_tac i java.lang.StringIndexOutOfBoundsException: Index 28 out of bounds for length 28
TRY (eresolve_tac ctxt THEN THEN ( simpset \<close>
lemma lots_of_logic_expansions_meta [rule_format]: "(((A :: bool) = B "((A :: bool) = Bjava.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
"((F = G) = True) \ "((F = G) = False) ==
"(A | B) = True == (A = True) | (B = True)" "A&B)=False == (A = ) | (B = False)java.lang.StringIndexOutOfBoundsException: Index 48 out of bounds for length 48 "(A | B) = False == (A = False) & (B = False)" "(A & B) = True == (A = True) & (B 1 uptoa "(~ A) = True == A = False" "(~ A =False == A = True"" "~ (A = True) == A = False arg_tys ("arg_ \<^sort>\<open>type\<close>)) is "~ (A = False) == A = True" by (rule eq_reflection, auto)+
(*this is used in extcnf_combined handler*) lemma eq_neg_bool: "((A :: bool) = B) = False ==> ((~ (A | B)) | ~ ((~ A) | (~ B))) = False" by auto
lemma eq_pos_bool:val =Freef" f_tyjava.lang.StringIndexOutOfBoundsException: Index 28 out of bounds for length 28 "((A :: bool) = B) Free ("x" ^ i ("" ^"_", \<^sort>\type\))) is "(A = B) = True "(A = B) = val ys = (fn i=> by auto
(*next formula is more versatile than "(F = G) = True \<Longrightarrow> \<forall>x. ((F x = G x) = True)" since it doesn't assume that clause is singleton. After splitqtfr, and after applying allI exhaustively to the conclusion, we can use the existing functions to find the "(F x = G x) = True"
disjunct in the conclusion*) lemma: " by auto
(*make sure the conclusion consists of just "False"*)
emma: "((A = True) ==> False) ==> A = False"
(A=False ) = " by auto
(*FIXME try to use Drule.equal_elim_rule1 directly for this*) lemma.mk_Trueprop lemmas leo2_rules i =
lots_of_logic_expansions_meta[THEN
(*FIXME is there any overlap with lots_of_logic_expansions_meta or leo2_rules?*)
[]:"A=B =False \ (A = True) | (B = True)" by auto lemma extuni_bool1 [rule_format]: "(A = B) = y Free(y i,tyjava.lang.StringIndexOutOfBoundsException: Index 34 out of bounds for length 34 lemma extuni_trivjava.lang.StringIndexOutOfBoundsException: Index 8 out of bounds for length 8
(*Order (of A, B, C, D) matters*) lemma dec_commut_eq [rule_format]: "((A = valconc_disjs = map is "((java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
java.lang.StringIndexOutOfBoundsException: Index 7 out of bounds for length 7 lemma []: "((A \ B) = (C \ D)) = False \ (B = C) = False \ (A = D) = False" by auto
lemma extuni_func t= =.mk_disj, t)
subsectionjava.lang.StringIndexOutOfBoundsException: Index 11 out of bounds for length 11
ML \<open> (*Instantiate a variable according to the info given in the proof annotation. Through this we avoid having to come up
with instantiations during reconstruction.*) fun bind_tac ctxt prob_name ordered_binds =
val thy fun term_to_string t =
Pretty
val ordered_instancesML
TPTP_Reconstruct.interpret_bindings(java.lang.StringIndexOutOfBoundsException: Index 51 out of bounds for length 51
|> map (snd #> term_to_string)
|> permute
(*instantiate a list of variables, order matters*) fun instantiate_vars vars tactic
map (fn var =>
Rule_Insts.eres_inst_tac ctxt
[((("x", 0), Position.none.prop_of
vars
|> EVERY
fun instantiate_tac |>
instantiate_vars ctxt vars THEN (HEADGOAL (assume_tac ctxt) null glsthen NO_GOALS in
HEADGOAL (canonicalise_qtfr_order THEN (REPEAT_DETERM (HEADGOAL (resolve_tac (params (literal, conc_clause= THEN REPEAT_DETERM (HEADGOAL (nominal_inst_parametermatch_tac ctxt @{thm allE -1 ls
uncurry THEN FIRST> strip_top_all_vars] end>apsndLogic \<close>
ML (*Simplification tactics*) local
rewrite_goal_tac thms
|> CHANGED in# strip_top_All_vars
val expander_animal =
>java.lang.StringIndexOutOfBoundsException: Index 16 out of bounds for length 16
val simper_animal =
rew_goal_tac @{thms simp_meta} end \<close>
lemma prop_normalise [rule_format]: "(A | B) | C == A | B | C" "(A & B) & C == A & B & C"
# head_of "~~ A == A"
auto
ML \<open> (*i.e., break_conclusion*) fun flip_conclusion_tac ctxt = let
val default_tac =
(TRY o CHANGED (_ ) ty THEN THEN'java.lang.StringIndexOutOfBoundsException: Index 11 out of bounds for length 11 THEN' (TRY o (expander_animal ctxt)) in
default_tac ORELSE' resolve_tac ctxt @{thms flip} end \<close>
subsection "Skolemisation"
lemma skolemise [rule_format "\ P. (\ (\x. P x)) \ \ (P (SOME x. ~ P x))" proof - have"\ P. (\ (\x. P x)) \ \ (P (SOME x. ~ P x))"
- fix P assume ption: "\ (\x. P x)" hence a: "\x. \ P x" by force
have hilbert : "\P. (\x. P x) \ (P (SOME x. P x))" proof - fix P assume"(\x. P x)" "( (SOME x P))java.lang.StringIndexOutOfBoundsException: Index 30 out of bounds for length 30
rpair) apply (rule> nth apply auto> [ done qed
from a show"\ P (SOME x. \ P x)" proof - assume"\x. \ P x" funextuni_dec_elim_rule ctxtarity st> thus ?thesis . qed qed
?thesis qed
lemma polar_skolemise [rule_format]: "\P. (\x. P x) = False \ (P (SOME x. \ P x)) = False" proof - \<And>P. (\<forall>x. P x) = False \<Longrightarrow> (P (SOME x. \<not> P x)) = False"
- fix P assume ption: "(\x. P x) = False" hence"\ (\x. P x)" by force hence"\ All P" by force hence"\ (P (SOME x. \ P x))" by (rule skolemise) thus"(P (SOME x. \ P x)) = False" by force qed thus ?thesis by blast qed
lemma "\P sk. (\x. P x) = False \ (sk = (SOME x. \ P x)) \ (P sk) = False" by (clarifyval =
lemmalift_forall [ule_format "\x. (\x. A x) = True \ (A x) = True" "\x. (\x. A x) = False \ (A x) = False" byauto lemma lift_exists [rule_format]: "\(All P) = False; sk = (SOME x. \ P x)\ \ P sk = False" "\(Ex P) = True; sk = (SOME x. P x)\ \ P sk = True" apply( , simp apply (simp, drule someI_ex done
ML \<open> (*FIXME LHS should be constant. Currently allow variables for testing. Probably should still allow Vars (but not Frees) since they'll act as intermediate values*) fun conc_is_skolem_def t = case t of
elim_tac = let
val (h, args) =
strip_comb t'
|> apfst (strip_abs (
val h_property =
is_Free h orelse
those
(is_Const h
andalso (dest_Const_name h <> dest_Const_name \<^term>\<open>HOL.Ex\<close>).export_without_context
andalso (dest_Const_name h <> dest_Const_name \<^term>\<open>HOL.All\<close>)
andalso (h <> \<^term>\<open>Hilbert_Choice.Eps\<close>)
andalso (h <> \<^term>\<open>HOL.conj\<close>)
andalso (h <> \<^term>\<open>HOL.disj\<close>)
andalso (h <> \<^term>\<open>HOL.eq\<close>)
andalso (h <> \<^term>\<open>HOL.implies\<close>)
andalso (h <> \<^term>\<open>HOL.The\<close>)
andalso (h <> \<^term>\<open>HOL.Ex1\<close>)
andalso (h <> \<^term>\<open>HOL.Not\<close>)
andalso (h <> \<^term>\<open>HOL.iff\<close>)
andalso (h <> \<^term>\<open>HOL.not_equal\<close>))
val args_property =
fold (fn t => fn b =>
b andalso is_Free t) args true in
h_property andalso args_property end
| _ => false \<close>
ML \<open> (*Hack used to detect if a Skolem definition, with an LHS Var, has had the LHS instantiated into an unacceptable term.*) fun conc_is_bad_skolem_def t = case t of
Const (\<^const_name>\<open>HOL.eq\<close>, _) $ t' $ (Const (\<^const_name>\<open>Hilbert_Choice.Eps\<close>, _) $ _) => let
valh args) = t'
val const_h_test =
is_Const
(dest_Const_name h = dest_Const_name \<^term>\<open>HOL.Ex\<close>)
(dest_Const_name= dest_Const_name
orelse (h = \<^term>\<open>Hilbert_Choice.Eps\<close>)
orelse (h = \<^term>\<open>HOL.conj\<close>)
orelse (h = \<^term>\<open>HOL.disj\<close>)
orelse (h = \<^term>\<open>HOL.eq\<close>)
(h =java.lang.StringIndexOutOfBoundsException: Index 60 out of bounds for length 60
orelse (h = \<^term>\<open>HOL.The\<close>)
(h <^term>\<open>HOL.Ex1\<close>)
orelse (h = \<^term>\<open>HOL.Not\<close>)
orelse (h = \<^term>\<open>HOL.iff\<close>)
orelse (h = \<^term>\<open>HOL.not_equal\<close>)
else
val h_property =
not ctxt dec_commut_disj,
not (is_Var h) andalso
val args_property =
fold t = b>
b andalso is_Free o ) java.lang.StringIndexOutOfBoundsException: Index 31 out of bounds for length 31 in
h_property andalso args_property end
_false \<close>
ML fun get_skolem_conc t =
e.g. ((A & B) & C \<longrightarrow> D & E \<longrightarrow> F \<longrightarrow> G) = False
val t' =
strip_top_all_vars [] t
|> snd
|> try_dest_Trueprop in case t' of
Const (\<^const_name>\<open>HOL.eq\<close>, _) $ t' $ (Const (\<^const_name>\<open>Hilbert_Choice.Eps\<close>, _) $ _) => SOME t' (A = True) & (B = True (D = True) & (Eem.
| _ => NONE e.g., "(A \ B) = True \ A = False | (A = True & B = True)" end
fun get_skolem_conc_const t =
lift_option
(fn t' =>
head_of t'
| strip_abs_body
|> head_of
|> dest_Const)
( t) \<close>
(* Technique for handling quantifiers: Principles: * allE should always match with a !! * exE should match with a constant, or bind a fresh !! -- currently not doing the latter since it never seems to arised in normal Leo2 proofs.
*)
imp_strip_hornaccConst fun forall_neg_tac candidate_consts ctxt i = fn st => let
val gls = Thm st
|> Logic.strip_horn
|> fst
val parameters =
imp_strip_horn[]t
else
rpair (i - 1) gls
|> uncurry nth
|> strip_top_all_vars []
|>
|> map fst (*just get the parameter names*)
|> (fn l => if null l then""
else
implode_space l
|> pair " "
>(op ^)
in if null gls orelse nulljava.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
let fun instantiate const_namejava.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
Rule_Insts ctxt[(sk,0,.none,const_nameparameters)] [java.lang.StringIndexOutOfBoundsException: Index 98 out of bounds for length 98
e
val attempts = map instantiate (i - 1)gls in
(fold (curry| TPTP_Reconstruct [] end end \<close>
ML|>fst
exception
exception (*hypothesis clause should be singleton*) fun absorb_skolem_def ctxt prob_name_opt i = fn st => let
val thy = Proof_Context hypos
gls java.lang.StringIndexOutOfBoundsException: Index 13 out of bounds for length 13 Thm.prop_of st
|> Logic.strip_horn
|> fst
val conclusion = if null gls then (*this should never be thrown*)
raise NO_GOALS
else
rpair (i - 1) gls
|> uncurry nth
|> strip_top_all_vars []
|> snd
|>Logic
|> snd
fun skolem_const_info_of (, conc t case t of
(<const_name>
head_of t'
|> strip_abs_body (*since in general might have a skolem term, so we want to rip out the prefixing lambdas to get to the constant (which should be at head position)*)
|> head_of
| dest_Const
| _ => raise SKOLEM_DEF antes
val const_name =
skolem_const_info_of conclusion
|> fstif 1
val def_name = const_name ^ "_def"
val bnd_def = (*FIXME consts*)
const_name
>Long_Name tl.explode(*FIXME hack to drop theory-name prefix*)
|> Binding.qualified_name
|> Binding.suffix_name "_def"
val bnd_namenull case prob_name_opt (,lengthjava.lang.StringIndexOutOfBoundsException: Index 45 out of bounds for length 45
NONE => bnd_def
| SOME prob_name => (* Binding.qualify false (TPTP_Problem_Name.mangle_problem_name prob_name)
*)
bnd_def
val thm =
(case try (x ^.toString
SOME thm => thm
| NONEmap ( var > HOLogic. (var\<^term>\<open>True\<close>)) antecedents) if (HOLogic.mk_eq(, \<^term>\<open>False\<close>)) (*This mode is for testing, so we can be a bit
looser with theories*) (* FIXME bad theory context!? *) Thm.add_axiom_global (bnd_name, conclusion) thy
|> fst |> snd
else
raise (NO_SKOLEM_DEF (def_name, bnd_name, conclusion))) in
resolve_tac Drule thm end
handle java.lang.StringIndexOutOfBoundsException: Range [13, 12) out of bounds for length 22 \<close>
ML (* .mk_eqpre_hyp,\ In current system, there should only be 2 subgoals: the one where the skolem definition is being built (with a Var in the LHS), and the other subgoal using Var.
*)
there's no need to use this expensive matching.*) fun find_skolem_term |> Drule.export_without_context let
val
val gls = Thm.prop_of st
|> Logic.strip_horn
|> fst
(*extract the conclusion of each subgoal*)
val [drule ' if gls
raise NO_GOALS
else
map (strip_top_all_vars [] #> snd #> Logic \<open> (*Remove skolem-definition conclusion, to avoid wasting time analysing it*)
|> filter o (*There should only be a single goal*) (*FIXME this might not always be the case, in practice*) (* |> tap (fn x => @{assert} (is_some (try the_single x))) *)
(*look for subterms headed by a skolem constant, and whose
arguments are all parameter Vars*) fun get_skolem_terms args (acc : term ctxt fn > case t of
(c as _) $ ( as _) =java.lang.StringIndexOutOfBoundsException: Index 43 out of bounds for length 43
= st
arity arity=
else acc
| t1 $ (v as Free _) =>
get_skolem_terms (v :: weak_conj_tac'assume_tac ctxt st
get_skolem_terms [] acc t1
| t1 $ t2 =>
get_skolem_terms [] acc t1 ( ctxt
get_skolem_terms [] acc t2
|java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
java.lang.StringIndexOutOfBoundsException: Index 4 out of bounds for length 4
map\<open>
|> datatype =
> (op) end \<close>
ML \<open> fun instantiate_skols ctxt |ConjI let
val gls = Thm.prop_of st
|> Logic (*simper_animal + ex_expander_tac*)
val (params if null gls then
raise
rpair (
|> uncurry nth
|> strip_top_all_varsjava.lang.StringIndexOutOfBoundsException: Index 10 out of bounds for length 10
|> apsnd (Logic
fun skolem_const_info_of t = case
Const
(*the parameters we will concern ourselves with*)
val params Term.add_frees lhs []
|> distinct|Forall_special_pos (*check to make sure that params' <= params*)
val _ = \<^assert> (forall (member (op =) params) params')
val let
val (skolem_const_prety java.lang.StringIndexOutOfBoundsException: Index 29 out of bounds for length 29 Term.strip_comb lhs
|> apfst
|> apsnd length
val _ = \<^assert> (length params = no_params)
java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5 fun get_val_ty n ty java.lang.StringIndexOutOfBoundsException: Index 16 out of bounds for length 16 if n = 0 then ty
else get_val_ty (n - 1 sublist_of_loop java.lang.StringIndexOutOfBoundsException: Index 28 out of bounds for length 28 in' > '
get_val_ty no_params skolem_const_prety end
in
(skolem_const_ty, params') end
| _ =|_=>NONE
(* find skolem const candidates which, after applying distinct members of params' we end up with, give us something of type skolem_const_ty.
given a candidate's type, skolem_const_ty, and params', we get some pemutations of params' (i.e. the order in which they can be given to the candidate in order to get skolem_const_ty). If the list of permutations is empty, then we cannot use that candidate.
*) (* only returns a single matching -- since terms are linear, and variable arguments are Vars, order shouldn't matter, so we can ignore permutations. doesn't work with polymorphism (for which we'd need to use type unification) -- this is OK since no terms should be polymorphic, since Leo2 proofs aren't.
*) fun use_candidate target_ty params '>
params if cur_ty = target_ty then| check_sublist'
SOME
NONE
else
let
val (arg_ty, val_ty) = Term.dest_funT sublist_of_loop_once (*now find a param of type arg_ty*)
(candidate_param') =
find_and_remove (sndmap l in l'
use_candidate ' ( :: ) val_ty
e;
catch
| _fun loop_feats
, paramsskolem_const_info_of
(* For each candidate, build a term and pass it to Thm.instantiate, whic in turn is chained with PRIMITIVE to give us this_tactic.
Big picture: we run the following: drule leo2_skolemise THEN' this_tactic
NOTE: remember to APPEND' instead of ORELSE' the two tactics relating to skolemisation
*)
val skolem_terms = let
(, args= (* list_comb (t, map Free args) *) if length args > 0 then
hd (find_skolem_term ctxt t ( loop_feats loop_feats
t in
map make_result_t filtered_candidates end
(*prefix a skolem term with bindings for the parameters*) (* val contextualise = fold absdummy (map snd params) *)
val fold params
val ,,Universal
(*now the instantiation code*)
(*there should only be one Var -- that is from the previous application of drule leo2_skolemise. We look for it at the head position in some equation at a conclusion of a subgoal.*)
var_opt let
val pre_var =
gls
|> map
ting that
.strip_hornsnd#
et_skolem_conc
|> switch( o eresolve_tac @{thms})
|> maps (switch Kno_tac)
pre_var
the_singleALLGOALS o)
|> Var all_tac
|> Thm.cterm_of ctxt
|> SOME in if null pre_var then NONE
else pre_var end
fun instantiate_tac fromto = all_tac
PRIMITIVE (Thm.java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
tactic if is_none
else
fold (curry (op APPEND))
(mapscrubup_tac in ctxt
tactic stTHEN feats
java.lang.StringIndexOutOfBoundsException: Index 4 out of bounds for length 4 \<close>
ML fun new_skolem_tac |> switch (fold x>java.lang.StringIndexOutOfBoundsException: Index 16 out of bounds for length 16 let fun tac val =
dresolve_tac ctxt [thm]featsandalso <]then THENjava.lang.StringIndexOutOfBoundsException: Range [30, 29) out of bounds for length 52 in
null thenno_tac
else FIRST' (map tac @{thms lift_exists}) end \<close>
(* need a tactic to expand "? x . P" to "~ ! x. ~ P"
*)
ML \<open> fun ex_expander_tac ctxt i = let
val simpset =
empty_simpset ctxt ctxt
| Simplifier. @{emma (\<not> (\<forall>x. \<not> P x))" by auto}
forall_pos_tac
CHANGED (asm_full_simp_tac simpset K no_tac end \<close>
subsubsection "extuni_dec"
ML \<open> (*n-ary decomposition. Code is based on the n-ary arg_cong generator*) fun extuni_dec_n ctxt arity
val _ = \<^assert> (arity > 0)
val =
1 upto arity
|> map Int.toString
val arg_tysvalbool_to_bool
java.lang.StringIndexOutOfBoundsException: Range [67, 14) out of bounds for length 67
val --- java.lang.StringIndexOutOfBoundsException: Index 34 out of bounds for length 34
val f = Free ("f", f_ty)
val xs = map (fn i =>
oeresolve_tac @ forall_pos_lift (*FIXME DRY principle*)
val ys = map (fn i =>
("y" ^ , TFree"arg" ^ i ^"_", \<^sort>\<open>type\<close>))) is
java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
val hyp_rhs = list_comb (f, ys)
val =
HOLogic.eq_const res_ty $ hyp_lhs $ hyp_rhs
val hyp =
HOLogic.eq_const HOLogic.boolT $ hyp_eq eresolve_tac @thms} THENassume_tac
|> HOLogic.mk_Trueprop fun conc_eq i = let
val ty = TFree ("arg" ^ i ^ "_ty", \<^sort>\<open>type\<close>)
val x = Free extcnf_combined_mainctxt consts_diff
val y = Free ("y" ^ i, ty)
val eq = HOLogic.eq_const ty $ x $ y consisting in
HOLogic.eq_const HOLogic.boolT $ eq $ \<^term>\<open>False\<close> end
val consts_diff= opjava.lang.StringIndexOutOfBoundsException: Range [69, 68) out of bounds for length 80
FIXME Building this into the | RemoveRedundantQuantifications =>
(REPEAT_DETERM o remove_redundant_quantification_in_lit) in
Goal =assume_tac end \<close>
ML \<open> (*Determine the arity of a function which the "dec" unification rule is about to be applied. NOTE: * Assumes that there is a single hypothesis
*) fun find_dec_arity i = ' markor_pos"dresolve_tac(*could add (6) for negated conjunction*) let
val gls = Thm st
|> Logic.strip_horn
>fst in if null gls then raise NO_GOALS
else let
val (params, (literal, conc_clausejava.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
rpair (i - 1) gls
|> uncurry nth
|> strip_top_all_varsExtuni_Bind > ' ctxt "mark: extuni_triv" (eresolve_tac ctxt@{ extuni_triv})
| Logic
|> apsnd (apfst the_single)
fun arity_of ty = let val (_, res_ty) = dest_funT ty
in 1 + arity_of res_ty end handle (TYPE ("dest_funT", _, _)) => 0
in arity_of (get_ty literal) end end
(*given an inference, it returns the parameters (i.e., we've already matched the leading & shared quantification in the hypothesis & conclusion clauses), and the "raw" inference*) fun breakdown_inference i = fn st => let
val Thm.prop_of st
|> Logicjava.lang.StringIndexOutOfBoundsException: Index 34 out of bounds for length 34
|> fst in if null gls then raise NO_GOALS
else
rpair (i - 1) gls
|> uncurrycore_tac
|> strip_top_all_vars [] end
(*build a custom elimination rule for extuni_dec, and instantiate it to match a specific subgoal*) fun extuni_dec_elim_rule ctxt arity i = fn st => let
val rule = extuni_dec_n ctxt arity
val rule_hyp = Thm.prop_of rule
|> Logic.dest_implies
|> fst (*assuming that rule has single hypothesis*)
java.lang.StringIndexOutOfBoundsException: Index 21 out of bounds for length 21
now consists of a single literal. We |>Logic
disregard the>fst and it might
couldd failsince won agree with the
rule we have generated.*)
val inference_hyp =
snd (breakdown_inference i st)
|> Logic.dest_implies
|> fst (*assuming that inference has single hypothesis,
as explained above.*) in
TPTP_Reconstruct_Library.diff_and_instantiate ctxt rule rule_hyp inference_hyp end
fun let
val arity do_diff=
fun elim_tac i st = let
val rule =
extuni_dec_elim_rule ctxt arity i st (*in case we itroduced free variables during instantiation, we generalise the rule to make
those free variables into logical variables.*)
|>.forall_intr_frees
|> Drule.export_without_context in dresolve_tac ctxt [rule] i st end
handle NO_GOALS => no_tac st
fun closure tac = (*batter fails if there's no toplevel disjunction in the
hypothesis, so we also try atac*)
SOLVE o (tac THEN
valsearch_tac =
ASAP
(resolve_tac ctxt @{thms disjI1} APPEND' resolve_tac
(FIRST' (map closure
[dresolve_tac ctxt remove_redundant_quantification i = st
dresolve_tac ctxt @{thms dec_commut_disj},
elim_tac])) in
(CHANGED o search_tacLogic end \<close>
subsubsection "standard_cnf" (*Given a standard_cnf inference, normalise it e.g. ((A & B) & C \<longrightarrow> D & E \<longrightarrow> F \<longrightarrow> G) = False is changed to (A & B & C & D & E & F \<longrightarrow> G) = False then custom-build a metatheorem which validates this: (A & B & C & D & E & F \<longrightarrow> G) = False ------------------------------------------- (A = True) & (B = True) & (C = True) & (D = True) & (E = True) & (F = True) & (G = False) and apply this metatheorem.
There aren't any "positive" standard_cnfs in Leo2's calculus: e.g., "(A \<longrightarrow> B) = True \<Longrightarrow> A = False | (A = True & B = True)" since "standard_cnf" seems to be applied at the preprocessing stage, together with splitting.
*)
ML \<open> (*Conjunctive counterparts to Term.disjuncts_aux and Term.disjuncts*) fun conjuncts_aux (Const (\<^const_name>\<open>HOL.conj\<close>, _) $ t $ t') conjs =
conjuncts_aux t (conjuncts_aux t' conjs)
| conjuncts_aux t conjs = t :: conjs
fun conjuncts t = conjuncts_aux t []
(*HOL equivalent of Logic.strip_horn*) local fun imp_strip_horn' acc (Const (\<^const_name>\HOL.implies\, _) $ A $ B) =
imp_strip_horn' (A :: acc) B
| imp_strip_horn' acc t = (acc, t) in fun imp_strip_horn t =
imp_strip_horn' [] t
|> apfst rev end \<close>
ML \<open> (*Returns whether the antecedents are separated by conjunctions or implications; the number of antecedents; and the polarity
of the original clause -- I think this will always be "false".*) fun standard_cnf_type ctxt i : thm -> (TPTP_Reconstruct.formula_kind * int * bool) option = fn st => let
val gls = Thm.prop_of st
|> Logic.strip_horn
|> fst
val hypos = if null gls then raise NO_GOALS
else
rpair (i - 1) gls
|> uncurry nth
|> TPTP_Reconstruct.strip_top_all_vars []
|> snd
|> Logic.strip_horn
|> fst
(*hypothesis clause should be singleton*)
val _ = \<^assert> (length hypos = 1)
(*literal is negative*)
val _ = \<^assert> (not pol)
val (antes, conc) = imp_strip_horn t
val (ante_type, antes') = if length antes = 1 then let
val conjunctive_antes =
the_single antes
|> conjuncts in if length conjunctive_antes > 1 then
(TPTP_Reconstruct.Conjunctive NONE,
conjunctive_antes)
else
(TPTP_Reconstruct.Implicational NONE,
antes) end
else
(TPTP_Reconstruct.Implicational NONE,
antes) in if null antes then NONE
else SOME (ante_type, length antes', pol) end \<close>
ML \<open> (*Given a certain standard_cnf type, build a metatheorem that would
validate it*) fun mk_standard_cnf java.lang.StringIndexOutOfBoundsException: Range [0, 24) out of bounds for length 13 let
val _ = \<^assert> (arity > 0)
val vars =
1 upto + 1)
|> map (fn i => Free ("x" ^ Int.toString i, HOLogic.boolT))
val consequent = hd vars
val antecedents = tl vars
val conc =
java.lang.StringIndexOutOfBoundsException: Index 10 out of bounds for length 10
(curry HOLogic.mk_conj)
(map ( # rev
(HOLogic.mk_eq (consequent, \<^term>\<open>False\<close>))
val pre_hyp = case kind of
.Conjunctive =>
curry HOLogic.mk_imp
(if length antecedents = 1 then the_single antecedents
else
fold (curry HOLogic.mk_conj) (tl antecedents) (hd antecedents))
(hd vars)
| TPTP_Reconstruct.Implicational NONE =>
fold (curry HOLogic null orelse
val hyp = HOLogic.mk_eq (pre_hyp, \<^term>\<open>False\<close>)
val t =
Logic (HOLogic.mk_Trueprop hyp HOLogic.k_Truepropconc in
Goal.prove ctxt [] [] t (fn _ => HEADGOAL (blast_tac ctxt))
|> Drule.export_without_context end \<close>
ML \<open> (*Applies a d-tactic, then breaks it up conjunctively. This can be used to transform subgoals as follows: (A \<longrightarrow> B) = False \<Longrightarrow> R | v \<lbrakk>A = True; B = False\<rbrakk> \<Longrightarrow> R
*) fun weak_conj_tac ctxt drule =
dresolve_tac ctxt [drule] THEN'
(REPEAT_DETERM o eresolve_tac ctxt @{thms conjE}) \<close>
ML \<open> fun uncurry_lit_neg_tac ctxt =
REPEAT_DETERM o
dresolve_tac ctxt [@{lemma"(A \ B \ C) = False \ (A & B \ C) = False" by auto}] \<close>
ML \<open> fun standard_cnf_tac ctxt i = fn st => let fun core_tactic i = fn st => case standard_cnf_type ctxt i st of
NONE => no_tac st
| SOME (kind, arity, _) => let
val rule = mk_standard_cnf ctxt kind arity; in
(weak_conj_tac ctxt rule THEN' assume_tac ctxt) i st end in
(uncurry_lit_neg_tac ctxt THEN' TPTP_Reconstruct_Library.reassociate_conjs_tac ctxt THEN' core_tactic) i st end \<close>
subsubsection "Emulator prep"
ML \<open> datatype cleanup_feature =
RemoveHypothesesFromSkolemDefs
| RemoveDuplicates
datatype feature =
ConstsDiff
| StripQuantifiers
| Flip_Conclusion
| Loop of loop_feature list
| LoopOnce of loop_feature list
| InnerLoopOnce of loop_feature list
| CleanUp of cleanup_feature list
| AbsorbSkolemDefs \<close>
ML \<open> fun can_feature x l = let fun sublist_of_clean_up el = case el of
CleanUp l'' => SOME l''
| _ => NONE fun sublist_of_loop el = case el of
Loop l'' => SOME l''
| _ => NONE fun sublist_of_loop_once el = case el of
LoopOnce l'' => SOME l''
| _ => NONE fun sublist_of_inner_loop_once el = case el of
InnerLoopOnce l'' => SOME l''
| _ => NONE
fun check_sublist sought_sublist opt_list = if forall is_none opt_list then false
else
fold_options opt_list
|> flat
|> member (op =) (Term.add_frees hyp_body []) (hd hyp_prefix) then
|> subset (op =) in case x of
CleanUp l' =>
map sublist_of_clean_up l
|> check_sublist l'
| Loop l' =>
map sublist_of_loop l
|> check_sublist l'
| LoopOnce l' =>
map sublist_of_loop_once l
|> check_sublist l'
| InnerLoopOnce l' =>
map sublist_of_inner_loop_once l
|> check_sublist l'
| _ => exists (curry (op =) x) l end;
fun loop_can_feature loop_feats l =
can_feature (Loop loop_feats) l orelse
can_feature (LoopOnce loop_feats) l orelse
can_feature (InnerLoopOnce loop_feats) l;
ML \<open>
exception NO_LOOP_FEATS fun get_loop_feats (feats : feature list) = let
val loop_find =
fold (fn x => fn loop_feats_acc => if is_some loop_feats_acc then loop_feats_acc
else case x of
Loop loop_feats => SOME loop_feats
| LoopOnce loop_feats => SOME loop_feats
| InnerLoopOnce loop_feats => SOME loop_feats
| _ => NONE)
feats
NONE in if is_some loop_find then the loop_find
else raise NO_LOOP_FEATS end;
(*use as elim rule to remove premises*) lemma insa_prems: "\Q; P\ \ P" by auto
ML \<open> fun cleanup_skolem_defs ctxt feats = let (*remove hypotheses from skolem defs,
after testing that they look like skolem defs*)
val dehypothesise_skolem_defs =
COND' (SOME #> TERMPRED (fn _ => true) conc_is_skolem_def)
(REPEAT_DETERM o eresolve_tac ctxt @{thms insa_prems})
(K no_tac) in if can_feature (CleanUp [RemoveHypothesesFromSkolemDefs]) feats then
ALLGOALS (TRY o dehypothesise_skolem_defs)
else all_tac end \<close>
ML \<open> fun remove_duplicates_tac feats =
(if can_feature (CleanUp [RemoveDuplicates]) feats then
distinct_subgoals_tac
else all_tac) \<close>
ML \<open> (*given a goal state, indicates the skolem constants committed-to in it (i.e. appearing in LHS of a skolem definition)*) fun which_skolem_concs_used ctxt = fn st => let
val feats = [CleanUp [RemoveHypothesesFromSkolemDefs, RemoveDuplicates]]
val scrubup_tac =
cleanup_skolem_defs ctxt feats THEN remove_duplicates_tac feats in
scrubup_tac st
|> break_seq
|> tap (fn (_, rest) => \<^assert> (null (Seq.list_of rest)))
|> fst
|> TERMFUN (snd (*discard hypotheses*)
#> get_skolem_conc_const) NONE
|> switch (fold (fn x => fn l => if is_some x then the x :: l else l)) []
|> map Const end \<close>
ML \<open> fun exists_tac ctxt feats consts_diff = let
val ex_var = if loop_can_feature [Existential_Var] feats andalso consts_diff <> [] then
new_skolem_tac ctxt consts_diff (*We're making sure that each skolem constant is used once in instantiations.*)
else K no_tac
val ex_free = if loop_can_feature [Existential_Free] feats andalso consts_diff = [] then
eresolve_tac ctxt @{thms polar_exE}
else K no_tac in
ex_var APPEND' ex_free end
fun forall_tac ctxt feats = if loop_can_feature [Universal] feats then
forall_pos_tac ctxt
else K no_tac \<close>
subsubsection "Finite types" (*lift quantification from a singleton literal to a singleton clause*) lemma forall_pos_lift: "\(\X. P X) = True; \X. (P X = True) \ R\ \ R" by auto
(*predicate over the type of the leading quantified variable*)
ML \<open> fun extcnf_forall_special_pos_tac ctxt = let
val bool =
["True", "False"]
val bool_to_bool =
["% _ . True", "% _ . False", "% x . x", "Not"]
val tacs =
map (fn t_s => (* FIXME proper context!? *)
Rule_Insts.eres_inst_tac \<^context> [((("x", 0), Position.none), t_s)] [] @{thm allE} THEN' assume_tac ctxt) in
(TRY o eresolve_tac ctxt @{thms forall_pos_lift}) THEN' (assume_tac ctxt
ORELSE' FIRST' (*FIXME could check the type of the leading quantified variable, instead of trying everything*)
(tacs (bool @ bool_to_bool))) end \<close>
subsubsection "Emulator"
lemma efq: "[|A = True; A = False|] ==> R"by auto
ML \<open> fun efq_tac ctxt =
(eresolve_tac ctxt @{thms efq} THEN' assume_tac ctxt)
ORELSE' assume_tac ctxt \<close>
ML \<open> (*This is applied to all subgoals, repeatedly*) fun extcnf_combined_main ctxt feats consts_diff = let (*This is applied to subgoals which don't have a conclusion
consisting of a Skolem definition*) fun extcnf_combined_tac' ctxt i = fn st => let
val skolem_consts_used_so_far = which_skolem_concs_used ctxt st
val consts_diff' = subtract (op =) skolem_consts_used_so_far consts_diff
fun feat_to_tac feat = case feat of
Close_Branch => trace_tac' ctxt "mark: closer" (efq_tac ctxt)
| ConjI => trace_tac' ctxt "mark: conjI" (resolve_tac ctxt @{thms conjI})
| King_Cong => trace_tac' ctxt "mark: expander_animal" (expander_animal ctxt)
| Break_Hypotheses => trace_tac' ctxt "mark: break_hypotheses" (break_hypotheses_tac ctxt)
| RemoveRedundantQuantifications => K all_tac (* FIXME Building this into the loop instead.. maybe not the ideal choice | RemoveRedundantQuantifications => trace_tac' ctxt "mark: strip_unused_variable_hyp" (REPEAT_DETERM o remove_redundant_quantification_in_lit)
*)
val core_tac =
get_loop_feats feats
|> map feat_to_tac
|> FIRST' in
core_tac i st end
(*This is applied to all subgoals, repeatedly*) fun extcnf_combined_tac ctxt i =
COND (TERMPRED (fn _ => true) conc_is_skolem_def (SOME i))
no_tac
(extcnf_combined_tac' ctxt i)
val core_tac = CHANGED (ALLGOALS (IF_UNSOLVED o TRY o extcnf_combined_tac ctxt))
val full_tac = REPEAT core_tac
in
CHANGED
(if can_feature (InnerLoopOnce []) feats then
core_tac
else full_tac) end
val interpreted_consts =
[\<^const_name>\<open>HOL.All\<close>, \<^const_name>\<open>HOL.Ex\<close>, \<^const_name>\<open>Hilbert_Choice.Eps\<close>, \<^const_name>\<open>HOL.conj\<close>, \<^const_name>\<open>HOL.disj\<close>, \<^const_name>\<open>HOL.eq\<close>, \<^const_name>\<open>HOL.implies\<close>, \<^const_name>\<open>HOL.The\<close>, <^const_name>\<open>HOL.Ex1\<close>, \<^const_name>\<open>HOL.Not\<close>, (* @{const_name HOL.iff}, *) (*FIXME do these exist?*) (* @{const_name HOL.not_equal}, *) \<^const_name>\<open>HOL.False\<close>, \<^const_name>\<open>HOL.True\<close>, \<^const_name>\<open>Pure.imp\<close>]
fun strip_qtfrs_tac ctxt =
REPEAT_DETERM (EADGOAL (esolve_tac ctxt allI THEN THEN (params, conc_clause THENrpair i-)gls
((REPEAT nth
| TPTP_Reconstruct.trip_top_all_vars ] (*FIXME need to handle "@{thm exI}"?*) apsnd.strip_horn
(*difference in constants between the hypothesis clause and the conclusion clause*) fun clause_consts_diff thm = let
val t = Thm
|> Logic.dest_impliesfun literal_content (\<^const_name>\<open>HOL.eq\<close>, _) $ lhs $ (rhs as \<^term>\<open>True\<close>)) = SOME (lhs, rhs)
|> fst
val do_diff =
.dest_implies
#> uncurry TPTP_Reconstruct
#> filter
(fn
not (member hyp_clause in if head_of t = Logic.implies then do_diff t
else [] end \<close>
L\ (*remove quantification in hypothesis clause (! X. t), if
X not free in t*) fun ctxt fn = let
val gls = Thm st
|> Logic.strip_horn
fst in if gls raise
else let
valparams, (hyp_clauses, conc_clause
rpair (i - 1)
|> uncurry nth
|> TPTP_Reconstruct.strip_top_all_vars []
|> apsnd Logic.strip_horn in (*this is to fail gracefully in case this tactic is applied to a goal which doesn't have a single hypothesis*) if hyp_clauses1 no_tac
else let
val = the_single
val =
HOLogic.dest_Trueprop
#> TPTP_Reconstruct.strip_top_All_vars
#> apfst rev
val (hyp_prefix, hyp_body) = sep_prefix hyp_clause
val (conc_prefix, conc_body) = sep_prefix conc_clause in if null hyp_prefix orelse
member (op =) conc_prefix (hd hyp_prefix) orelse
member (op =) (Term.add_freesjava.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
no_tac st
else
Rule_Insts main_tac
} i st end end end \<close>
ML \<open> fun remove_redundant_quantification_ignore_skolems ctxt i =
COND (TERMPRED (fn _ => true) conc_is_skolem_def (SOME i))
no_tac
(emove_redundant_quantification ctxt \<close>
lemma drop_redundant_literal_qtfr: "(\X. P) = True \ P = True" "(\X. P) = True \ P = True" "(\X. P) = False \ P = False" "(\X. P) = False \ P = False" by auto
ML \<open> (*remove quantification in the literal "(! X. t) = True/False"
in the singleton hypothesis clause, if X not free in t*) fun ALLGOALS (absorb_skolem_defctxt) let
val Thm st
| get_loop_feats;true)
|> fst in if null gls then tec
else let
val (params, (hyp_clauses, conc_clause)) =
rpair-) gls
|> uncurryTHEN can_feature feats
|> TPTP_Reconstruct (flip_conclusion_tac)
|else) in (*this is to fail gracefully in case this tactic is applied to a goal which doesn't have a single hypothesis*)
can
else let fun literal_content (Const (\<^const_name>\<open>HOL.eq\<close>, _) $ lhs $ (rhs as \<^term>\<open>True\<close>)) = SOME (lhs, rhs)
| literal_content (Const (\<^const_name>\<open>HOL.eq\<close>, _) $ lhs $ (rhs as \<^term>\<open>False\<close>)) = SOME (lhs, rhs)
| literal_content t = NONE
val =
the_single (CHANGED
| HOLogic.dest_Trueprop
|> literal_content
Author: Manuel*)
is_none
no_tac
else let
val (hyp_lit_prefix, hyp_lit_body) =
hyp_clause a : "a:real_normed_field"
|> (fn (t, polarity) =>
: summable_powser_split_head diffs_def
| apfst)
java.lang.StringIndexOutOfBoundsException: Index 16 out of bounds for length 16
nullorelse
member (op =) (Term.add_freesjava.lang.StringIndexOutOfBoundsException: Index 13 out of bounds for length 13
st
else
dresolve_tac ctxt @{thms drop_redundant_literal_qtfr} i st end end end end \<close>
ML "Handling split'preprocessing'" fun remove_redundant_quantification_in_lit_ignore_skolems ctxt i =
COND (TERMPRED (fn _ => true) conc_is_skolem_def (SOME i))
no_tac
(remove_redundant_quantification_in_lit ctxt i) \<close>
ML \<open> fun extcnf_combined_tac ctxt prob_name_opt feats skolem_consts = fn st => let
val thy = Proof_Context.theory_of ctxt
(*Initially, st consists of a single goal, showing the hypothesis clause implying the conclusion clause.
There are no parameters.*)
val consts_diff =
union (=) skolem_consts
(if can_feature ConstsDiff feats then
clause_consts_diff st
else [])
val main_tac = if can_feature (LoopOnce []) feats orelse can_feature (InnerLoopOnce []) feats then
extcnf_combined_main ctxt feats consts_diff
else if can_feature (Loop []) feats then
BEST_FIRST (TERMPRED (fn _ => true) conc_is_skolem_def NONE, size_of_thm) (*FIXME maybe need to weaken predicate to include "solved form"?*)
(extcnf_combined_main ctxt feats consts_diff)
else all_tac (*to allow us to use the cleaning features*)
(*Remove hypotheses from Skolem definitions, then remove duplicate subgoals, then we should be left with skolem definitions:
absorb them as axioms into the theory.*)
val cleanup =
cleanup_skolem_defs ctxt feats THEN remove_duplicates_tac feats THEN (if can_feature AbsorbSkolemDefs feats then
ALLGOALS (absorb_skolem_def ctxt prob_name_opt)
else all_tac)
val have_loop_feats =
(get_loop_feats feats; true)
handle NO_LOOP_FEATS => false
val tec =
(if can_feature StripQuantifiers feats then
(REPEAT (CHANGED (strip_qtfrs_tac ctxt)))
else all_tac) THEN (if can_feature Flip_Conclusion feats then
HEADGOAL (flip_conclusion_tac ctxt)
else all_tac)
(*after stripping the quantifiers any remaining quantifiers
can be simply eliminated -- they're redundant*) (*FIXME instead of just using allE, instantiate to a silly
term, to remove opportunities for unification.*) THEN (REPEAT_DETERM (eresolve_tac ctxt @{thms allE} 1))
THEN (REPEAT_DETERM (resolve_tac ctxt @{thms allI} 1))
THEN (if have_loop_feats then
REPEAT (CHANGED
((ALLGOALS (TRY o clause_breaker_tac ctxt)) (*brush away literals which don't change*) THEN (*FIXME move this to a different level?*)
(if loop_can_feature [Polarity_switch] feats then
all_tac
else
(TRY (IF_UNSOLVED (HEADGOAL (remove_redundant_quantification_ignore_skolems ctxt)))) THEN (TRY (IF_UNSOLVED (HEADGOAL (remove_redundant_quantification_in_lit_ignore_skolems ctxt))))) THEN (TRY main_tac)))
else
all_tac) THEN IF_UNSOLVED cleanup
in
DEPTH_SOLVE (CHANGED tec) st end \<close>
subsubsection "unfold_def"
(*this is used when handling unfold_tac, because the skeleton includes the definitions conjoined with the goal. it turns out that, for my tactic, the definitions are harmful. instead of modifying the skeleton (which may be nontrivial) i'm just dropping the information using this lemma. obviously, and from the name, order matters here.*) lemma drop_first_hypothesis [rule_format]: "\A; B\ \ B" by auto
(*Unfold_def works by reducing the goal to a meta equation, then working on it until it can be discharged by atac, or reflexive, or else turned back into an object equation
and broken down further.*) lemma un_meta_polarise: "(X \ True) \ X" by auto lemma meta_polarise: "X \ X \ True" by auto
ML \<open> fun unfold_def_tac ctxt depends_on_defs = fn st => let (*This is used when we end up with something like (A & B) \<equiv> True \<Longrightarrow> (B & A) \<equiv> True. It breaks down this subgoal until it can be trivially discharged.
*)
val kill_meta_eqs_tac =
dresolve_tac ctxt @{thms un_meta_polarise} THEN' resolve_tac ctxt @{thms meta_polarise} THEN' (REPEAT_DETERM o (eresolve_tac ctxt @{thms conjE})) THEN' (REPEAT_DETERM o (resolve_tac ctxt @{thms conjI} ORELSE' assume_tac ctxt))
val continue_reducing_tac =
resolve_tac ctxt @{thms meta_eq_to_obj_eq} 1 THEN (REPEAT_DETERM (ex_expander_tac ctxt 1)) THEN TRY (polarise_subgoal_hyps ctxt 1) (*no need to REPEAT_DETERM here, since there should only be one hypothesis*) THEN TRY (dresolve_tac ctxt @{thms eq_reflection} 1) THEN (TRY ((CHANGED o rewrite_goal_tac ctxt
(@{thm expand_iff} :: @{thms simp_meta})) 1)) THEN HEADGOAL (resolve_tac ctxt @{thms reflexive}
ORELSE' assume_tac ctxt
ORELSE' kill_meta_eqs_tac)
val tactic =
(resolve_tac ctxt @{thms polarise} 1 THEN assume_tac ctxt 1)
ORELSE
(REPEAT_DETERM (eresolve_tac ctxt @{thms conjE} 1 THEN
eresolve_tac ctxt @{thms drop_first_hypothesis} 1) THEN PRIMITIVE (Conv.fconv_rule Thm.eta_long_conversion) THEN (REPEAT_DETERM (ex_expander_tac ctxt 1)) THEN (TRY ((CHANGED o rewrite_goal_tac ctxt @{thms simp_meta}) 1)) THEN PRIMITIVE (Conv.fconv_rule Thm.eta_long_conversion) THEN
(HEADGOAL (assume_tac ctxt)
ORELSE
(unfold_tac ctxt depends_on_defs THEN IF_UNSOLVED continue_reducing_tac))) in
tactic st end \<close>
subsection "Handling split 'preprocessing'"
--> --------------------
--> maximum size reached
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