Quelle TPTP_Proof_Reconstruction.thy
Sprache: Isabelle
(* 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 = Configget tptp_informative_failure
tptp_trace_reconstruction Attrib.setup_config_bool
val tptp_max_term_size = Attribthen maps into, andisto
fun let
val.getctxt inC1 .& java.lang.StringIndexOutOfBoundsException: Index 26 out of bounds for length 26 if false
else size > of variablesbelow. 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, and the Isabelle
formalisation of the inference as a term. The inference interpretation then maps these terms into meta-theorems, and the skeleton is used to compose the inference-level steps into a proof.
Leo2 operates on conjunctions of clauses. Each Leo2 inference has the
following form, where Cx are clauses:
Clauses consist of disjunctions of literals (shown as Px below), and might have a prefix of !-bound variables, as shown below.
! X... { P1 || ... || Pn}
Literals are usually assigned a polarity, but this isn't always the case; you can come across inferences looking like this (where A is an
object-level formula):
F
--------
F = true
The symbol "||" represents literal-level disjunction and"&&"is
clause-level conjunction. Rules will typically lift formula-level
conjunctions; forinstance the following rule lifts object-level
disjunction:
{ (A | B) = true || ... } && ...
--------------------------------------
{ A = true || B = true || ... } && ...
Using this setup, efficiency might be gained by only interpreting
inferences once, merging identical inference steps, and merging
identical subproofs into single inferences thus avoiding some effort.
We can also attempt to minimising proof search when interpreting
inferences.
It is hoped that this setup can target other provers by modifying the
clause representation to fit them, and adapting the inference interpretationto handle the rules used by the prover. It should also
facilitate composing together proofs found by different provers. \<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" by auto
lemma polar_exE [rule_format]: "\(\x. P x) = True; \x. (P x) = True \ R\ \ R" "\(\x. P x) = False; \x. (P x) = False \ R\ \ R" by auto
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 inst_parametermatch_tac ctxt thms i = fn st => let
val gls = Thm.prop_of st
|> Logic.strip_horn
|> fst
val parameters = if null gls then []
else
rpair (i - 1) gls
|> uncurry nth
|> strip_top_all_vars []
|> fst
|> map fst (*just get the parameter names*) in !X.. P1 |..||} if parameters st
else let
param
(map (Rule_Insts.eres_inst_tac ctxt [((("x", 0), Position.none), param)] []) thms
|> FIRST')
val attempts = map instantiate parameters in
(fold (curry (op APPEND')) attempts (K no_tac)) i st end end
(*Attempts to use the polar_allE theorems on a specific subgoal.*) fun forall_pos_tac ctxt = inst_parametermatch_tac ctxt @{thms polar_allE} \<close>
ML \<open> (*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.*) fun nominal_inst_parametermatch_tac ctxt thm i = fn st => let
val gls = Thm.prop_of st
> Logic
|> fst
val parameters = if null gls then []
else
rpair (i - 1) gls
|> uncurry nth
|> strip_top_all_vars []
|> fst
|> map fst (*just get the parameter names*) in if null parameters then no_tac st
else let fun instantiates param =
Rule_Insts.eres_inst_tac ctxt [((("x", 0), Position.none), param)] [] thm
val quantified_var = head_quantified_variable ctxt i st in if is_none quantified_var then no_tac st
else if member (op =) parameters (the quantified_var |> fst) then
instantiates (the quantified_var |> fst) i st
else
K no_tac i st 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 i = fn st => let
val gls = Thm.prop_of st
|> Logic.strip_horn
|> fst in if null gls then raise NO_GOALS
else let
val (params, (hyp_clause, conc_clause)) =
rpair (i - 1) gls
|> uncurry nth
|> strip_top_all_vars []
|> apsnd Logic.dest_implies
val thm = Goal.prove ctxt [] []
(Logic.mk_implies (hyp_clause, new_hyp))
(fn _ =>
(REPEAT_DETERM (HEADGOAL (resolve_tac ctxt @{thms allI}))) THEN (REPEAT_DETERM
(HEADGOAL
(nominal_inst_parametermatch_tac ctxt @{thm allE}))) THEN HEADGOAL (assume_tac ctxt)) in
dresolve_tac ctxt [thm] i st end end \<close>
subsection "Some general rules and congruences"
(*this isn't an actual rule used in Leo2, but it seems to be
applied implicitly during some Leo2 inferences.*) lemma polarise: "P ==> P = True"by auto
ML \<open> fun is_polarised t =
(TPTP_Reconstruct.remove_polarity true t; true)
handle TPTP_Reconstruct.UNPOLARISED _ => false
lemma simp_meta [rule_format]: "(A --> B) == (~A | B)" "(A | B) | C == A | B | C" "(A & B) & C == A & B & C" "(~ (~ A)) == A" (* "(A & B) == (~ (~A | ~B))" *) "~ (A & B) == (~A | ~B)" "~(A | B) == (~A) & (~B)" by auto
subsection "Emulation of Leo2's inference rules"
(*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 (rule eq_reflection, auto)
lemma polarity_switch [rule_format]: "(\ P) = True \ P = False" "(\ P) = False \ P = True" "P = False \ (\ P) = True" "P = True \ (\ P) = False" by auto
lemma solved_all_splits: "False = True \ False" by simp
ML \<open> fun solved_all_splits_tac ctxt =
TRY (eresolve_tac ctxt @{thms conjE} 1) THEN resolve_tac ctxt @{thms solved_all_splits} 1 THEN assume_tac ctxt 1 \<close>
lemma lots_of_logic_expansions_meta [rule_format]: "(((A :: bool) = B) = True) == (((A \ B) = True) & ((B \ A) = True))" "((A :: bool) F =true
"(F ) True) == java.lang.StringIndexOutOfBoundsException: Index 56 out of bounds for length 56 "((F = G) = False) == (\x. (F x = G x)) = False"
"(A | B) = True == (A = True) | (B = True)" "(A & B) = False == (A = False) | (B = False)" "(A | B) = False == (A = False) & (B = False)" "(A & B) = True == (A = True) & (B = True)" "(~ A) = True == A = False" "(~ A) = False == A = True" "~ (A = True) == A = False" "~ (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: "((A :: bool) = B) = True ==> ((~ (A | B)) | ~ (~ A | ~ B)) = True" "(A = B) = True \ A = True \ B = False" "(A = B) = True \ A = False \ B = True" 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 eq_pos_func: "\ x. (F = G) = True \ (F x = G x) = True" by auto
(*make sure the conclusion consists of just "False"*) lemma flip: "((A = True) ==> False) ==> A = False" "((A = False) ==> False) ==> A = True" by auto
(*FIXME try to use Drule.equal_elim_rule1 directly for this*) lemma equal_elim_rule1: "(A \ B) \ A \ B" by auto lemmas leo2_rules =
lots_of_logic_expansions_meta[THEN equal_elim_rule1]
(*FIXME is there any overlap with lots_of_logic_expansions_meta or leo2_rules?*) lemma extuni_bool2 [rule_format]: "(A = B) = False \ (A = True) | (B = True)" by auto lemma extuni_bool1 [rule_format]: "(A = B) = False \ (A = False) | (B = False)" by auto lemma extuni_triv [rule_format]: "(A = A) = False \ R" by auto
(*Order (of A, B, C, D) matters*) lemma dec_commut_eq [rule_format]: "((A = B) = (C = D)) = False \ (B = C) = False | (A = D) = False" "((A = B) = (C = D)) = False \ (B = D) = False | (A = C) = False" by auto lemma dec_commut_disj [rule_format]: "((A \ B) = (C \ D)) = False \ (B = C) = False \ (A = D) = False" by auto
lemma extuni_func [rule_format]: "(F = G) = False \ (\X. (F X = G X)) = False" by auto
subsection "Emulation: tactics"
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 = let
val thy = Proof_Context.theory_of ctxt fun term_to_string t =
Pretty.pure_string_of (Syntax.pretty_term ctxt t)
val ordered_instances =
TPTP_Reconstruct.interpret_bindings prob_name thy ordered_binds []
|> map (snd #> term_to_string)
|> permute
(*instantiate a list of variables, order matters*) fun instantiate_vars ctxt vars : tactic =
map (fn var =>
Rule_Insts.eres_inst_tac ctxt
[((("x", 0), Position.none), var)] [] @{thm allE} 1)
vars
|> EVERY
fun instantiate_tac vars =
instantiate_vars ctxt vars THEN (HEADGOAL (assume_tac ctxt)) in
HEADGOAL (canonicalise_qtfr_order ctxt) THEN (REPEAT_DETERM (HEADGOAL (resolve_tac ctxt @{thms allI}))) THEN REPEAT_DETERM (HEADGOAL (nominal_inst_parametermatch_tac ctxt @{thm allE})) (*now only the variable to instantiate should be left*) THEN FIRST (map instantiate_tac ordered_instances) end \<close>
ML \<open> (*Simplification tactics*) local fun rew_goal_tacthms i =
rewrite_goal_tac thms
|>CHANGED in
val expander_animal =
rew_goal_tac (@{thms simp_meta} @ @{thms lots_of_logic_expansions_meta})
val simper_animal =
rew_goal_tacA= || B =truejava.lang.StringIndexOutOfBoundsException: Index 48 out of bounds for length 48 end \<close>
lemma prop_normalise [rule_format]: "(A | B) | C == A | B | C" "(A & B) & C == A & B & C" "A | B == ~(~A & ~B)" "~~ A == A" by auto
ML \<open> (*i.e., break_conclusion*) fun flip_conclusion_tac ctxt = let
val default_tac =
TRY o (rewrite_goal_tac @{thms})) THEN' resolve_tac ctxt @{thms notI} THEN' (REPEAT_DETERM o eresolve_tac ctxt @{thms conjE}) THEN' (TRY o (expander_animal ctxt)) in
default_tac ORELSE' resolve_tac ctxt @{thms flip} end \<close>
subsection "Skolemisation"
lemma skolemiserule_format
java.lang.StringIndexOutOfBoundsException: Index 88 out of bounds for length 88 proof - have"\ P. (\ (\x. P x)) \ \ (P (SOME x. ~ P x))" proof - fix P assume ption: "\ (\x. P x)" hence a: "\x. \ P x" by force
have :"\P. (\x. P x) \ (P (SOME x. P x))" proof fix assume(java.lang.StringIndexOutOfBoundsException: Index 32 out of bounds for length 32 thus
auto apply (rule someI) apply auto done qed
from a show"\ P (SOME x. \ P x)" proof - assume"\x. \ P x" hence"\ P (SOME x. \ P x)" by (rule hilbert) thus ?thesis . qed qed thusthesis blast qed
lemma polar_skolemise [rule_format]: "\P. (\x. P x) = False \ (P (SOME x. \ P x)) = False" proof - have"\P. (\x. P x) = False \ (P (SOME x. \ P x)) = False" proof - 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 leo2_skolemise [rule_format]: "\P sk. (\x. P x) = False \ (sk = (SOME x. \ P x)) \ (P sk) = False" by (clarify, rule polar_skolemise)
lemma lift_forall [rule_format]: "\x. (\x. A x) = True \ (A x) = True" "\x. (\x. A x) = False \ (A x) = False" by auto 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 (drule polar_skolemise, simp) apply (simp, drule someI_ex, simp) 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 = caset java.lang.StringIndexOutOfBoundsException: Index 11 out of bounds for length 11
Const (\<^const_name>\<open>HOL.eq\<close>, _) $ t' $ (Const (\<^const_name>\<open>Hilbert_Choice.Eps\<close>, _) $ _) => let
val (h, args) =
strip_comb t'
|> apfst (strip_abs #> snd #> strip_comb #> fst)
val h_property =
is_Free h orelse
is_Var but note that
(is_Const h
andalso (dest_Const_name h <> dest_Const_name \<^term>\<open>HOL.Ex\<close>)
andalso (dest_Const_name h <> dest_Const_name \<^term>\<open>HOL.All\<close>)
andalso (h <> \<^term>\<open>Hilbert_Choice.Eps\<close>)
andalso inst_parametermatch_tac i= =
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
andalso end
| _ => false \<close>
ML \<open> toif 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>, _) $ _) => if gls
val (h, args) = strip_comb t'
val const_h_test = if is_Const h then
(dest_Const_name h = dest_Const_name \<^term>\<open>HOL.Ex\<close>)
orelse (dest_Const_name h = dest_Const_name \<^term>\<open>HOL.All\<close>)
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>)
orelse (h = \<^term>\<open>HOL.implies\<close>)
orelse (h = \<^term>\<open>HOL.The\<close>)
orelse (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 true
val h_property =
not (is_Free h) andalso
not (is_Var h) andalso
const_h_test
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> fun get_skolem_conc t = let
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'
| _ => NONE end
fun get_skolem_conc_const t =
lift_option
(fn t' =>
head_of t'
|> strip_abs_body
|> head_of
|> dest_Const)
(get_skolem_conc 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.
*)
ML \<open> fun forall_neg_tac candidate_consts ctxt i = fn st => let
val gls = Thm.prop_of st
|> Logic.strip_horn
|> fst
val parameters = if null gls then""
else
rpair (i - 1) gls
|> uncurry nth
|> strip_top_all_vars []
|> fst
|> map fst (*just get the parameter names*)
|> (fn l => if null l then""
else
implode_space l
|> pair " "
|> (op ^))
in if null gls orelse null candidate_consts then no_tac st
else let fun instantiate const_name =
Rule_Insts.dres_inst_tac ctxt [((("sk", 0), Position.none), const_name ^ parameters)] []
@{thm leo2_skolemise}
val attempts = map instantiate candidate_consts in
(fold (curry (op APPEND')) attempts (K no_tac)) i st end end \<close>
ML \<open>
exception SKOLEM_DEF of term(*The tactic wasn't pointed at a skolem definition*)
exception NO_SKOLEM_DEF of (*skolem const name*)string * Binding.binding * term (*The tactic could not find a skolem definition in the theory*) fun absorb_skolem_def ctxt prob_name_opt i = fn st => let
val thy = Proof_Context.theory_of ctxt
val gls = Thm.prop_of st
|> Logic
|> | java.lang.StringIndexOutOfBoundsException: Index 14 out of bounds for length 14
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.strip_horn
|> snd
fun skolem_const_info_of t = case t of
Const (\<^const_name>\<open>HOL.Trueprop\<close>, _) $ (Const (\<^const_name>\<open>HOL.eq\<close>, _) $ t' $ (Const (\<^const_name>\<open>Hilbert_Choice.Eps\<close>, _) $ _)) =>
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 t
val const_name =
skolem_const_info_of conclusion
|> fst
val def_name = const_name ^ "_def"
val bnd_def = (*FIXME consts*)
const_name
|> Long_Name.implode o tl o Long_Name.explode (*FIXME hack to drop theory-name prefix*)
|> Binding.qualified_name
|> Binding.suffix_name "_def"
val bnd_name = case prob_name_opt of
NONE => bnd_def
| SOME prob_name => (* Binding.qualify false (TPTP_Problem_Name.mangle_problem_name prob_name)
*)
bnd_def
val thm =
(case try (Thm.axiom thy) def_name of
SOME thm => thm
| NONE => if is_none prob_name_opt then (*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 ctxt [Drule.export_without_context thm] i st end
handle SKOLEM_DEF _ => no_tac st \<close>
ML \<open> (* 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.
*) (*arity must be greater than 0. if arity=0 then
there's no need to use this expensive matching.*) fun find_skolem_term ctxt consts_candidate arity = fn st => let
val _ = \<^assert> (arity > 0)
val gls = Thm.prop_of st
|> Logic.strip_horn
|> fst
(*extract the conclusion of each subgoal*)
val conclusions = if null gls then
raise NO_GOALS
else
map (strip_top_all_vars [] #> snd #> Logic.strip_horn #> snd) gls (*Remove skolem-definition conclusion, to avoid wasting time analysing it*)
|> filter (try_dest_Trueprop #> conc_is_skolem_def #> not) (*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 list) t = case t of
(c as Const _) $ (v as Free _) => if c = consts_candidate andalso
arity = length args + 1 then
(list_comb (c, v :: args)) :: acc
else acc
| t1 $ (v as Free _) =>
get_skolem_terms (v :: args) acc t1 @
get_skolem_terms [] acc t1
| t1 $ t2 =>
get_skolem_terms [] acc t1 @
get_skolem_terms [] acc t2
| Abs (_, _, t') => get_skolem_terms [] acc t'
| _ => acc in
map (strip_top_All_vars #> snd) conclusions
|> maps
|> distinct (op forall_pos_tacctxt inst_parametermatch_tac ctxt@thms} end \<close>
ML \<open> fun instantiate_skols ctxt consts_candidates i = fn st => let
val gls = Thm.prop_of st
|> Logic \<open>
|> fst
val (params, conclusion) = if null gls then
raise NO_GOALS
else
rpair (i - 1) gls
|> uncurry nth
|> strip_top_all_vars []
|funnominal_inst_parametermatch_tac thm fn =
fun skolem_const_info_of > .strip_horn case t of
Const (\<^const_name>\<open>HOL.Trueprop\<close>, _) $ (Const (\<^const_name>\<open>HOL.eq\<close>, _) $ lhs $ (Const (\<^const_name>\<open>Hilbert_Choice.Eps\<close>, _) $ rhs)) => let (*the parameters we will concern ourselves with*)
val params' = Term.add_frees lhs []
|> distinct (op =) (*check to make sure that params' <= params*)
val _ = \<^assert> (forall (member (op =) params) params')
val skolem_const_ty = let
val (skolem_const_prety, no_params) = Term.strip_comb
|> apfst ( else
|> apsnd length
val _ = \<^assert> (length params = no_params)
(*get value type of a function type after n arguments have been supplied*) fun get_val_ty n ty = if n = 0 then ty
else get_val_ty (n - 1) (dest_funT ty |> snd) in
get_val_ty no_params skolem_const_prety end
in
(skolem_const_ty, params') end
| _ =>raise t)
(* 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 acc cur_ty = if parameters no_tac st if instantiates =
SOME ( acc
else
else \<^try>\<open> let
al, ) = Term. cur_ty (*now find a param of type arg_ty*)
val (, params' =
find_and_remove in
use_candidate end
catch (dest_funT )=>NONE
| _ => NONE (* FIXME avoid catch-all handler *)let \<close>
>.strip_horn
(* 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 filtered_candidates val filtered_candidates hyp_clause
map ( #> use_candidate params[) (* prefiltered_candidates *)
|> pair| strip_top_All_vars
|> ListPair val =
|> filter (snd (*HOLogic.list_all*)
| (apsnd)
val skolem_termshyp_body let funmake_result_tt, args) = (* list_comb (t, map Free args) *) if (fn =>
hd(find_skolem_term ctxt t (lengthargs) st)
else t
n
map make_result_t end
(*prefix a skolem term with bindings for the parameters*)dresolve_tac [thmi t (* val contextualise = fold absdummy (map snd params) *)
val
val "Some general rulesand congruences"
(*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.*)
val var_opt let
valpre_var
gls
|> map
(strip_top_all_vars ] > snd>
Logic #
get_skolem_conc
|(~( A)= java.lang.StringIndexOutOfBoundsException: Index 18 out of bounds for length 18
|> maps (switch Term.add_vars [])
fun make_var pre_var =
the_single pre_var
|> (*this is not in |> Thm.cterm_of ctxt |> SOME in if null pre_var then NONE else make_var pre_var end
fun instantiate_tac from to = PRIMITIVE (Thm.instantiate (TVars.empty, Vars.make1 (from, to)))
val tactic = if is_none var_opt then no_tac else fold (curry (op APPEND)) (map (instantiate_tac (dest_Var (Thm.term_of (the var_opt)))) skolem_cts) no_tac in tactic st end \<close>
ML \<open> fun new_skolem_tac ctxt consts_candidates = let fun tac thm = dresolve_tac ctxt [thm] THEN' instantiate_skols ctxt consts_candidates in if null consts_candidates then K no_tac else FIRST' (map tac @{thms lift_exists}) end \<close>
(* need a tactic to expand "? x . P" to "~ ! x. ~ P"
*)
ML \<open> fun ctxti = let
val simpset =
empty_simpset ctxt (*NOTE for some reason, Bind exception gets raised if ctxt's simpset isn't emptied*)
|> Simplifier.add_simp @{lemma"Ex P == (\ (\x. \ P x))" by auto} in
ANGEDasm_full_simp_tacsimpset i) end \<close>
subsubsection "extuni_dec"
ML (*n-ary decomposition. Code is based on the n-ary arg_cong generator*) fun extuni_dec_n ctxt arity =
( ) == (A =False)"
val _ = \<^assert> (arity > 0)
val is =
1 rity
|> map~) alseA=True
val = map (fn i => TFree"" ^ i ^ "ty",
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
val f_ty = arg_tys ---> res_ty
f ("f,)
val xs = map (fn i =>
Free" ,TFree (arg ^i "ty\<^sort>\<open>type\<close>))) is (*FIXME DRY principle*)
val=map i =java.lang.StringIndexOutOfBoundsException: Index 25 out of bounds for length 25
Free ("y" ^ i, since it doesn't assume that clause is singleton. After splitqtfr,
eq_pos_func"\ x. (F = G) = True \ (F x = G x) = True"
val
l flip
HOLogic"( ) ==> False ==> A= TrueTrue
val hyp =
HOLogic.eq_const HOLogic.boolT $ hyp_eq $ \<^term>\<open>False\<close>
|> HOLogicmk_Trueprop funconc_eq let
val
val x = Free ("x"lemmaextuni_bool2rule_format ( = ) alse
val = "" ^i )
val eq = HOLogic.eq_const ty $ x $ y in
HOLogic.eq_const HOLogic.boolT $ eq $ \<^term>\<open>False\<close> end
val t =
Logic.mk_implies (hyp, HOLogic.mk_Trueprop conc) in
Goal.prove ctxt [] [] t (fn _ => proof annotation. Through this we avoid having to come with
|> 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 ctxt : = let
val gls = Thm st
|> Logic.strip_horn
> fst in ifnull gls then raise
else let
val(, literal)) java.lang.StringIndexOutOfBoundsException: Index 46 out of bounds for length 46
rpair (i )gls
|> uncurry nth
|> strip_top_all_vars []
| apsnd Logic.strip_horn
|> apsnd (apfst the_singleML \<open>
val get_ty =
HOLogic ctxt i
>strip_top_All_vars
# snd
#> HOLogic.dest_eq (*polarity's "="*)
#> fst
#>java.lang.StringIndexOutOfBoundsException: Index 3 out of bounds for length 3
#> fst
>head_of
#byjava.lang.StringIndexOutOfBoundsException: Index 7 out of bounds for length 7
fun arity_of ty = let
val(, res_ty= dest_funT
in
1 + arity_of res_ty end
handle (TYPE ("dest_funT", _ in
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 = fnproof- let
val gls = Thm.prop_of st
|> Logic.strip_horn
|> fst in if null gls then raisethus"P ( . x)"
else
rpair (i - 1) ls
|> uncurry
|> strip_top_all_vars] end
(*build a custom elimination rule for extuni_dec, and instantiate it to match a specific subgoal*)
extuni_dec_elim_rule i = fn => let
val rule = thusby blast
val rule_hyp = Thm.prop_of rule
|> have"\P. (\x. P x) = False \ (P (SOME x. \ P x)) = False"
|> fst (*assuming that rule has single hypothesis*)proof
(*having run break_hypothesis earlier, we know that the hypothesis now consists of a single literal. We can (and should) disregard the conclusion, since it hasn't been "broken", and it might include some unwanted literals -- the latter could cause "diff" to fail (since they won't agree with the
rule we have generated.*)
inference_hyp
snd lift_forall []:
|> Logic.dest_implies
|> fst (*assuming that inference has single hypothesis,by auto
as explained above.*) in
TPTP_Reconstruct_Library.diff_and_instantiate ctxt rule rule_hyp inference_hyp (drulepolar_skolemise) end
fun extuni_dec_tac ctxt i = fn st => let
val arity = find_dec_arity i st
funelim_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.*)
|> Thm.forall_intr_frees
|> Drulejava.lang.StringIndexOutOfBoundsException: Range [41, 42) out of bounds for length 41
(,argsstrip_comb
handle NO_GOALS = if h then
fun closure tac orelse h = dest_Const_name \<^term>\<open>HOL.All\<close>) (*batter fails if there's no toplevel disjunction in the
hypothesis, so we also try atac*)
SOLVEorelse(h <^term>\<open>HOL.implies\<close>)
val search_tac =
ASAP
(resolve_tac ctxt @{thms disjI1} APPENDorelseh =java.lang.StringIndexOutOfBoundsException: Index 56 out of bounds for length 56
(FIRST' (map closure
[dresolve_tac ctxt @{thms lse true
dresolve_tac @{thmsdec_commut_disj}java.lang.StringIndexOutOfBoundsException: Index 61 out of bounds for length 61
elim_tac])) const_h_test
f (fn >fnb =>
(CHANGED search_tac ist end \<close>
subsubsection "standard_cnf| => java.lang.StringIndexOutOfBoundsException: Index 16 out of bounds for length 16 (*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*)
>strip_abs_body
conjuncts_aux t (conjuncts_aux t' conjs)
get_skolem_conc
fun nique for handling quantifiers:
(*HOL equivalent of Logic.strip_horn*) local fun' acc (Const (\<^const_name>\HOL.implies\, _) $ A $ B) =
imp_strip_horn' (Alet
.prop_of in fun imp_strip_horn t = ' [ 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| op)java.lang.StringIndexOutOfBoundsException: Index 26 out of bounds for length 26 let
val gls = Thm.prop_of st
else
|> fst
(*hypothesis clause should be singleton*)
val _ = \<^assert> (length hypos = 1)
le
|val =
|> TPTP_Reconstruct.strip_top_All_vars
|> snd
|> TPTP_Reconstruct.remove_polarity true
(*literal is negative*)
val _ = \<^assert> (not pol)| .strip_horn
val(antes) = imp_strip_horn
val (ante_type, antesConst\^const_name>\<open>HOL.Trueprop\<close>, _) $ (Const (\<^const_name>\<open>HOL.eq\<close>, _) $ t' $ (Const (\<^const_name>\<open>Hilbert_Choice.Eps\<close>, _) $ _)) => if length antes = 1 then let
val > dest_Const
the_single
|> conjuncts in if length conjunctive_antes> then
(TPTP_Reconstruct.Conjunctive NONE,
conjunctive_antes)
else
(TPTP_Reconstruct.Implicational NONE,
antes) end
else| .implode o o Long_Nameexplode (*FIXME hack to drop theory-name prefix*)
(TPTP_Reconstruct.Implicational NONE,
antes) in if null antes thenNONE
else SOMEante_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 ctxt kind arity = let
val*java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
val vars =
1 upto (arity + 1)
|> map (fni=>Free""^ InttoString i, HOLogic.boolT))
val consequent = hd vars
val antecedents = tl vars
val pre_hyp = case kind of
TPTP_Reconstruct.Conjunctive NONE =>
curry HOLogic.mk_imp
(else
else
fold (curry ctxt [.export_without_context] i st
(hd vars)
| TPTP_Reconstruct.Implicational NONE =>
fold (curry HOLogic.mk_imp) antecedents consequent\<close>
val hyp=HOLogicmk_eq ( \<^term>\<open>False\<close>)
val t =
Logic.mk_implies in(*arity must be greater than 0. if arity=0 then 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(*extract the conclusion of each subgoal*)
dresolve_tacctxtdrule]THEN
( if null then \<close>
ML\<open> fun uncurry_lit_neg_tac ctxt(*Remove skolem-definition conclusion, to avoid wasting time analysing it*)
REPEAT_DETERM
dresolve_tac ctxt [@{lemma \<close>
ML \<open> funstandard_cnf_tac i = st= let fun core_tactic Const vasFree> case standard_cnf_type ctxt i st of
NE =no_tac
nd, , _) > let
val rule = mk_standard_cnf ctxt kind arity; in
(weak_conj_tac ctxt rule THEN assume_tac ctxt)i java.lang.StringIndexOutOfBoundsException: Index 66 out of bounds for length 66 end in
(ncurry_lit_neg_tac THEN' TPTP_Reconstruct_Library.reassociate_conjs_tac ctxt THEN' core_tactic) i st end \<close>
subsubsection " in
ML datatype cleanup_feature
RemoveHypothesesFromSkolemDefs| distinctop =)
| RemoveDuplicates
datatype loop_feature =
Close_Branch
| King_Congjava.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
| Break_Hypotheses
| Donkey_Cong
| RemoveRedundantQuantifications |> fst
| Assumption
(*Closely based on Leo2 calculus*)
| Existential_Free
| Existential_Var
| Universalelse
java.lang.StringIndexOutOfBoundsException: Index 15 out of bounds for length 11
| Not_neg
| Or_pos
| Or_neg
| Equal_pos
| Equal_neg
| Extuni_Bool2
| Extuni_Bool1
_Dec
|Extuni_Bind
| Extuni_Triv
| Extuni_FlexRigid
| val' =
| Polarity_switch
|
datatype feature =
ConstsDiff
| StripQuantifiers
| Flip_Conclusion
| Loopofloop_featurelist
| 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 elof
CleanUp l'' => SOME l''
| _ => NONE fun el = case el of
Loopl'= SOMEl'java.lang.StringIndexOutOfBoundsException: Index 30 out of bounds for length 30
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
|> pair sought_sublist
|> subset (op =) in case x of
CleanUpl'=>
map sublist_of_clean_upifnull then
> l'
| Loopl' =>
map sublist_of_loopelse
|> check_sublist l \<^try>\<open>
| LoopOnce l' =>
map l
|> check_sublist l'
| val, params
sublist_of_inner_loop_once
|> check_sublist
| _ => exists target_typaramscandidate_paramacc end
ML \<open>
exception fun get_loop_feats (feats |> map ( the let
val loop_find =
fold (fn x => fnfunmake_result_t(t,args) = if is_some loop_feats_acc then loop_feats_acc
else case x of
Loop => SOME
| else
| InnerLoopOnce loop_feats => SOME loop_feats
| _ => NONE)
feats
NONE in if is_some loop_find contextualise=fold absfree
else raise NO_LOOP_FEATS end;
(*use as elim rule to remove premises*) lemma insa_prems valvar_opt =
ML \<open> fun cleanup_skolem_defs ctxt feats = let (*remove hypotheses from skolem defs,
after testing that they look like skolem defs*)
val Logic #> snd >
get_skolem_conc)
REPEAT_DETERM ctxt insa_prems
( no_tac in funmake_var =
(TRYo dehypothesise_skolem_defs
elseall_tac end \<close>
ML \<open> fun remove_duplicates_tac feats =
make_varpre_var
distinct_subgoals_tac
else) \<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_usedval = let
valjava.lang.StringIndexOutOfBoundsException: Index 10 out of bounds for length 10
val scrubup_tac =
cleanup_skolem_defs feats THEN remove_duplicates_tacfeats in
scrubup_tac st
|> break_seq
|> tap (fn (_, rest) => \<^assert> (null (Seq.list_of rest)))
|> fst
|> TERMFUN (snd (*discard hypotheses*)
#> get_skolem_conc_const) NONEML \<open>
(fn => 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
ex_var
xistential_Var feats andalso consts_diff <> [ then
new_skolem_tac ctxt THEN' instantiate_skols ctxt consts_candidates (*We're making sure that each skolem constant is used once in instantiations.*)
elseif consts_candidates K java.lang.StringIndexOutOfBoundsException: Index 43 out of bounds for length 43
val ex_free =
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
eresolve_tacneed a tactic to expand "? x . P"to"~ *)
else K no_tac in
ex_var APPEND' ex_free end
subsubsection "java.lang.StringIndexOutOfBoundsException: Index 19 out of bounds for length 0 (*lift quantification from a singleton literal to a singleton clause*) lemma forall_pos_lift: "\(\X. P X) = True; \X. (P X = True) \ R\ \ R" by auto
(*predicate over the type of the leading quantified variable*)let
ML \<open>isjava.lang.StringIndexOutOfBoundsException: Index 12 out of bounds for length 12 fun extcnf_forall_special_pos_tac ctxt = let
val bool =
["True", "False"]
val bool_to_bool =
["% _ . True val res_ty = TFree ("res" ^ "_ty", \<^sort>\type\)
val tacs =
map (fn t_s => (* FIXME proper context!? *) val f_ty =arg_tys>res_ty
Rule_Insts.eres_inst_tac \<^context> [((("x", 0), Position.none), t_s)] [] @{thm allE} THEN' assume_tac ctxt) in
(TRY eresolve_tac ctxt {thms}) THEN' (assume_tac ctxt
ORELSEFree^i (arg ty (*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" hyp_eq
ML \<open> fun efq_tac ctxt =
( ctxt{thms efqTHEN' assume_tac ctxt)
ORELSE' assume_tac ctxt \<close>
ML \<open> (*This is applied to all subgoals, repeatedly*) funextcnf_combined_main feats = let (*This is applied to subgoals which don't have a conclusion
consisting of a Skolem definition*) fun extcnf_combined_tac java.lang.StringIndexOutOfBoundsException: Range [8, 9) out of bounds for length 8 let
val skolem_consts_used_so_far = which_skolem_concs_used ctxt st
valconsts_diff' = subtract( =) skolem_consts_used_so_far consts_diff
fun feat_to_tac feat = case featvalconc =
=> trace_tacctxt:closerefq_tac
| ConjI = the_single conc_disjs
| King_Cong => trace_tac' ctxt "mark: expander_animal" (expander_animal ctxt)
| Break_Hypotheses => trace_tac' ctxt (fnt=> fnt_conc => OLogic.mk_disj (t_conc, t))
| RemoveRedundantQuantifications => Kall_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)
*)
| Assumption> assume_tac ctxt (*FIXME both Existential_Free and Existential_Var run same code*)
| Existential_Free => trace_tac' ctxt "mark: forall_neg\
| Existential_Var => trace_tac' ctxt "mark: forall_neg" (exists_tac ctxt feats consts_diff')
| Universal ML \<open>
unification rule is about to be applied.
| Not_neg => trace_tac' ctxt "mark: not_neg" (dresolve_tac ctxt @{thms leo2_rules(10)})
|Or_pos=>trace_tac ctxt"mark:: or_pos ( ctxt @{thms leo2_rules(5)}) (*could add (6) for negated conjunction*)
| Or_neg => trace_tac' ctxt "mark: or_neg" (dresolve_tac ctxt @{thms leo2_rules(7)})
| Equal_pos => trace_tac Thm.prop_of
| Equal_neg | java.lang.StringIndexOutOfBoundsException: Index 12 out of bounds for length 12
| Donkey_Cong => trace_tac' ctxt java.lang.StringIndexOutOfBoundsException: Index 8 out of bounds for length 8
val core_tac =
get_loop_feats val (_, res_ty) = dest_funT ty
|> 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
else full_tac) end end
val interpreted_consts =let
[\<^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 (HEADGOAL (resolve_tac ctxt @{thms allI})) THEN REPEAT_DETERM (HEADGOAL (eresolve_tac ctxt @{thms exE})) THEN HEADGOAL (canonicalise_qtfr_order ctxt) THEN
((REPEAT (HEADGOAL (nominal_inst_parametermatch_tac ctxt @{thm allE})))
APPEND (REPEAT (HEADGOAL (inst_parametermatch_tac ctxt [@{thm allE}])))) (*FIXME need to handle "@{thm exI}"?*)
(*difference in constants between the hypothesis clause and the conclusion clause*) fun clause_consts_diff thm = let
val t = Thm.prop_of thm
>.dest_implies
|> fst
(*This bit should not be needed, since Leo2 inferences don't have parameters*) cause "iff"to (since they't
|> snd
val java.lang.StringIndexOutOfBoundsException: Index 17 out of bounds for length 17
Logic.dest_implies
#> uncurry TPTP_Reconstruct.
#> filter
(fn Const>Thm
not (member (op =) interpreted_consts n)) in if head_of t = Logic.implies then do_diff t
else [] end hypothesis, so we also try atac*)
ML search_tac java.lang.StringIndexOutOfBoundsException: Index 20 out of bounds for length 20 (*remove quantification in hypothesis clause (! X. t), if
X not free in t*) fun ctxt=fn => let
val gls = Thm.prop_of st
|> .strip_horn
|> fst in if null
else let
val (params, (hyp_clauses, conc_clause)) =
rpair (i - 1) gls
|> uncurry nth
(D = True) & (E = True) & (F = True) & (G = False)
|> apsnd LogicThere aren't any "positive" standard_cnfs in Leo2's calculus: in (*this is to fail gracefully in case this tactic is applied to a goal which doesn't have a single hypothesis*) if length hyp_clauses > 1 then no_tac st
else let
val hyp_clause = the_single hyp_clauses (arityjava.lang.StringIndexOutOfBoundsException: Index 24 out of bounds for length 24
val sep_prefix =
fold
#> TPTP_Reconstruct.strip_top_All_vars
# apfst
val (hyp_prefix, hyp_body) = sep_prefixTPTP_Reconstruct NONE
val (conc_prefix, conc_body) = sep_prefix conc_clause in if hyp_prefix
member (op =) conc_prefix.mk_impliesHOLogic.mk_Trueprop hyp,HOLogic.k_Trueprop )
heck_sublistjava.lang.StringIndexOutOfBoundsException: Range [27, 10) out of bounds for length 29
no_tac st
else
Rule_Insts.eres_inst_tac ctxt [((("x", 0), Position.none), "(@X. False)")] []
@{thm allE} 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
(remove_redundant_quantification ctxt i) \<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 remove_redundant_quantification_in_lit let
val Thm.prop_of
|>java.lang.StringIndexOutOfBoundsException: Index 40 out of bounds for length 40
|> fst in if null gls then raise NO_GOALS
REPEAT_DETERM (EADGOAL (esolve_tac @{thms})) let
val, (hyp_clauses)) =
rpair ( 1
|> uncurry
| TPTP_Reconstruct.trip_top_all_vars [
|> Logic in (*this is to fail gracefully in case this tactic is applied to a goal which doesn't have a single hypothesis*) if length hyp_clauses > 1 then no_tac st
val t = let fun (Const
| literal_content (Const (\<^const_name>\<open>HOL.eq\<close>, _) $ lhs $ (rhs as \<^term>\<open>False\<close>)) = SOME (lhs, rhs)
| literal_content, since Leo2 inferences dont parameters
val snd
the_single hyp_clauses
|> HOLogic.dest_TruepropLogic
|>literal_content
in ifis_none then
no_tac st
else let
val
the hyp_clause
| <open>
TPTP_Reconstruct.strip_top_All_vars t
remove_redundant_quantification i= st> in if null hyp_lit_prefix.prop_of
member (op =) (Term.add_frees hyp_lit_body []) (hd hyp_lit_prefix)|>fst
no_tac null then NO_GOALS
else
dresolve_tac ctxt @{thms ()) = end end end end \<close>
ML \<open> fun remove_redundant_quantification_in_lit_ignore_skolems length > 1then st
COND (TERMPRED (fn _ => true) conc_is_skolem_def (SOME i))
no_tac hyp_clause hyp_clauses
(remove_redundant_quantification_in_lit sep_prefix \<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 = if can_feature ( @{thm allE
extcnf_combined_main ctxt feats consts_diff
else if can_feature (Loop []) feats then
BEST_FIRST (*FIXME maybe need to weaken predicate to include "solved form"?*)
(extcnf_combined_main ctxt feats consts_diff)
else(emove_redundant_quantification i)
(*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 THEN remove_duplicates_tac feats THEN (if can_feature AbsorbSkolemDefs feats then
ALLGOALS (absorb_skolem_def prob_name_opt
else
.prop_of
( feats true)
handle NO_LOOP_FEATS
val =
(if
(REPEAT
else (i 1 gls
(if Flip_Conclusion then
HEADGOAL 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 hyp_clause
REPEAT
> HOLogic.dest_Trueprop THEN
(if
all_tac
else importsComplex_Main "a \ \" THEN (TRY)))
all_tac)
( suminf_congjava.lang.StringIndexOutOfBoundsException: Index 50 out of bounds for length 50
CHANGED
java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5 \<close>
""
(*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.*)
[]:"lbrakk;\rbrakk\java.lang.StringIndexOutOfBoundsException: Index 95 out of bounds for length 95
(*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.*)
: X\<equiv> True) \<Longrightarrow> X" by auto
of_real a"
ML \<open> fun - 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_tacjava.lang.NullPointerException THEN' resolve_tac ctxt @{thms meta_polarise} THEN)
xy
val continue_reducing_tac:)
resolve_tac meta_eq_to_obj_eq THEN\bar
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0 THEN TRY (dresolve_tac THEN (TRY ((CHANGED java.lang.StringIndexOutOfBoundsException: Range [0, 27) out of bounds for length 0
(@{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_ruleif hyp_lit_prefix orelse THEN
(HEADGOAL (assume_tacno_tac
ORELSE
(unfold_tac ctxt depends_on_defs THEN IF_UNSOLVED inend
tactic st end \<close>
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