1 (* Title: HOL/Tools/Sledgehammer/sledgehammer_mash.ML
2 Author: Jasmin Blanchette, TU Muenchen
3 Author: Cezary Kaliszyk, University of Innsbruck
5 Sledgehammer's machine-learning-based relevance filter (MaSh).
8 signature SLEDGEHAMMER_MASH =
10 type stature = ATP_Problem_Generate.stature
11 type raw_fact = Sledgehammer_Fact.raw_fact
12 type fact = Sledgehammer_Fact.fact
13 type fact_override = Sledgehammer_Fact.fact_override
14 type params = Sledgehammer_Prover.params
15 type prover_result = Sledgehammer_Prover.prover_result
17 val trace : bool Config.T
18 val duplicates : bool Config.T
26 val learn_isarN : string
27 val learn_proverN : string
28 val relearn_isarN : string
29 val relearn_proverN : string
30 val fact_filters : string list
31 val encode_str : string -> string
32 val encode_strs : string list -> string
33 val decode_str : string -> string
34 val decode_strs : string -> string list
36 datatype mash_engine =
43 val is_mash_enabled : unit -> bool
44 val the_mash_engine : unit -> mash_engine
46 val mesh_facts : ('a * 'a -> bool) -> int -> (real * (('a * real) list * 'a list)) list -> 'a list
47 val nickname_of_thm : thm -> string
48 val find_suggested_facts : Proof.context -> ('b * thm) list -> string list -> ('b * thm) list
49 val crude_thm_ord : thm * thm -> order
50 val thm_less : thm * thm -> bool
51 val goal_of_thm : theory -> thm -> thm
52 val run_prover_for_mash : Proof.context -> params -> string -> string -> fact list -> thm ->
54 val features_of : Proof.context -> theory -> stature -> term list -> string list
55 val trim_dependencies : string list -> string list option
56 val isar_dependencies_of : string Symtab.table * string Symtab.table -> thm -> string list option
57 val prover_dependencies_of : Proof.context -> params -> string -> int -> raw_fact list ->
58 string Symtab.table * string Symtab.table -> thm -> bool * string list
59 val attach_parents_to_facts : ('a * thm) list -> ('a * thm) list ->
60 (string list * ('a * thm)) list
61 val num_extra_feature_facts : int
62 val extra_feature_factor : real
63 val weight_facts_smoothly : 'a list -> ('a * real) list
64 val weight_facts_steeply : 'a list -> ('a * real) list
65 val find_mash_suggestions : Proof.context -> int -> string list -> ('a * thm) list ->
66 ('a * thm) list -> ('a * thm) list -> ('a * thm) list * ('a * thm) list
67 val mash_suggested_facts : Proof.context -> theory -> params -> int -> term list -> term ->
68 raw_fact list -> fact list * fact list
70 val mash_unlearn : unit -> unit
71 val mash_learn_proof : Proof.context -> params -> term -> ('a * thm) list -> thm list -> unit
72 val mash_learn_facts : Proof.context -> params -> string -> int -> bool -> Time.time ->
73 raw_fact list -> string
74 val mash_learn : Proof.context -> params -> fact_override -> thm list -> bool -> unit
75 val mash_can_suggest_facts : Proof.context -> bool
77 val generous_max_suggestions : int -> int
78 val mepo_weight : real
79 val mash_weight : real
80 val relevant_facts : Proof.context -> params -> string -> int -> fact_override -> term list ->
81 term -> raw_fact list -> (string * fact list) list
82 val kill_learners : unit -> unit
83 val running_learners : unit -> unit
86 structure Sledgehammer_MaSh : SLEDGEHAMMER_MASH =
90 open ATP_Problem_Generate
91 open Sledgehammer_Util
92 open Sledgehammer_Fact
93 open Sledgehammer_Prover
94 open Sledgehammer_Prover_Minimize
95 open Sledgehammer_MePo
97 val trace = Attrib.setup_config_bool @{binding sledgehammer_mash_trace} (K false)
98 val duplicates = Attrib.setup_config_bool @{binding sledgehammer_fact_duplicates} (K false)
100 fun trace_msg ctxt msg = if Config.get ctxt trace then tracing (msg ()) else ()
102 fun gen_eq_thm ctxt = if Config.get ctxt duplicates then Thm.eq_thm_strict else Thm.eq_thm_prop
112 val fact_filters = [meshN, mepoN, mashN]
114 val unlearnN = "unlearn"
115 val learn_isarN = "learn_isar"
116 val learn_proverN = "learn_prover"
117 val relearn_isarN = "relearn_isar"
118 val relearn_proverN = "relearn_prover"
120 fun map_array_at ary f i = Array.update (ary, i, f (Array.sub (ary, i)))
122 type xtab = int * int Symtab.table
124 val empty_xtab = (0, Symtab.empty)
126 fun add_to_xtab key (next, tab) = (next + 1, Symtab.update_new (key, next) tab)
127 fun maybe_add_to_xtab key = perhaps (try (add_to_xtab key))
129 fun mash_state_dir () =
130 Path.expand (Path.explode "$ISABELLE_HOME_USER/mash" |> tap Isabelle_System.mkdir)
132 fun mash_state_file () = Path.append (mash_state_dir ()) (Path.explode "state")
134 fun wipe_out_mash_state_dir () =
135 let val path = mash_state_dir () in
136 try (File.fold_dir (fn file => fn _ => try File.rm (Path.append path (Path.basic file))) path)
141 datatype mash_engine =
149 let val flag1 = Options.default_string @{system_option MaSh} in
150 (case if flag1 <> "none" (* default *) then flag1 else getenv "MASH" of
151 "yes" => SOME MaSh_NB
152 | "sml" => SOME MaSh_NB
153 | "nb" => SOME MaSh_NB
154 | "knn" => SOME MaSh_kNN
155 | "nb_knn" => SOME MaSh_NB_kNN
156 | "nb_ext" => SOME MaSh_NB_Ext
157 | "knn_ext" => SOME MaSh_kNN_Ext
161 val is_mash_enabled = is_some o mash_engine
162 val the_mash_engine = the_default MaSh_NB o mash_engine
164 fun scaled_avg [] = 0
165 | scaled_avg xs = Real.ceil (100000000.0 * fold (curry (op +)) xs 0.0) div length xs
168 | avg xs = fold (curry (op +)) xs 0.0 / Real.fromInt (length xs)
170 fun normalize_scores _ [] = []
171 | normalize_scores max_facts xs =
172 map (apsnd (curry Real.* (1.0 / avg (map snd (take max_facts xs))))) xs
174 fun mesh_facts fact_eq max_facts [(_, (sels, unks))] =
175 distinct fact_eq (map fst (take max_facts sels) @ take (max_facts - length sels) unks)
176 | mesh_facts fact_eq max_facts mess =
178 val mess = mess |> map (apsnd (apfst (normalize_scores max_facts)))
180 fun score_in fact (global_weight, (sels, unks)) =
181 let val score_at = try (nth sels) #> Option.map (fn (_, score) => global_weight * score) in
182 (case find_index (curry fact_eq fact o fst) sels of
183 ~1 => if member fact_eq unks fact then NONE else SOME 0.0
184 | rank => score_at rank)
187 fun weight_of fact = mess |> map_filter (score_in fact) |> scaled_avg
189 fold (union fact_eq o map fst o take max_facts o fst o snd) mess []
190 |> map (`weight_of) |> sort (int_ord o pairself fst o swap)
191 |> map snd |> take max_facts
194 fun smooth_weight_of_fact rank = Math.pow (1.3, 15.5 - 0.2 * Real.fromInt rank) + 15.0 (* FUDGE *)
195 fun steep_weight_of_fact rank = Math.pow (0.62, log2 (Real.fromInt (rank + 1))) (* FUDGE *)
197 fun weight_facts_smoothly facts = facts ~~ map smooth_weight_of_fact (0 upto length facts - 1)
198 fun weight_facts_steeply facts = facts ~~ map steep_weight_of_fact (0 upto length facts - 1)
200 fun rev_sort_array_prefix cmp bnd a =
202 exception BOTTOM of int
204 val al = Array.length a
207 let val i31 = i + i + i + 1 in
209 let val x = Unsynchronized.ref i31 in
210 if cmp (Array.sub (a, i31), Array.sub (a, i31 + 1)) = LESS then x := i31 + 1 else ();
211 if cmp (Array.sub (a, !x), Array.sub (a, i31 + 2)) = LESS then x := i31 + 2 else ();
215 if i31 + 1 < l andalso cmp (Array.sub (a, i31), Array.sub (a, i31 + 1)) = LESS
216 then i31 + 1 else if i31 < l then i31 else raise BOTTOM i
219 fun trickledown l i e =
220 let val j = maxson l i in
221 if cmp (Array.sub (a, j), e) = GREATER then
222 (Array.update (a, i, Array.sub (a, j)); trickledown l j e)
224 Array.update (a, i, e)
227 fun trickle l i e = trickledown l i e handle BOTTOM i => Array.update (a, i, e)
230 let val j = maxson l i in
231 Array.update (a, i, Array.sub (a, j));
235 fun bubble l i = bubbledown l i handle BOTTOM i => i
238 let val father = (i - 1) div 3 in
239 if cmp (Array.sub (a, father), e) = LESS then
240 (Array.update (a, i, Array.sub (a, father));
241 if father > 0 then trickleup father e else Array.update (a, 0, e))
243 Array.update (a, i, e)
246 fun for i = if i < 0 then () else (trickle al i (Array.sub (a, i)); for (i - 1))
249 if i < Integer.max 2 (al - bnd) then
252 let val e = Array.sub (a, i) in
253 Array.update (a, i, Array.sub (a, 0));
254 trickleup (bubble i 0) e;
258 for (((al + 1) div 3) - 1);
261 let val e = Array.sub (a, 1) in
262 Array.update (a, 1, Array.sub (a, 0));
263 Array.update (a, 0, e)
269 fun rev_sort_list_prefix cmp bnd xs =
270 let val ary = Array.fromList xs in
271 rev_sort_array_prefix cmp bnd ary;
272 Array.foldr (op ::) [] ary
276 (*** Isabelle-agnostic machine learning ***)
281 fun select_visible_facts big_number recommends =
283 let val (j, ov) = Array.sub (recommends, at) in
284 Array.update (recommends, at, (j, big_number + ov))
287 fun wider_array_of_vector init vec =
288 let val ary = Array.array init in
289 Array.copyVec {src = vec, dst = ary, di = 0};
293 val nb_def_prior_weight = 21 (* FUDGE *)
295 fun learn_facts (tfreq0, sfreq0, dffreq0) num_facts0 num_facts num_feats depss featss =
297 val tfreq = wider_array_of_vector (num_facts, 0) tfreq0
298 val sfreq = wider_array_of_vector (num_facts, Inttab.empty) sfreq0
299 val dffreq = wider_array_of_vector (num_feats, 0) dffreq0
301 fun learn_one th feats deps =
303 fun add_th weight t =
305 val im = Array.sub (sfreq, t)
306 fun fold_fn s = Inttab.map_default (s, 0) (Integer.add weight)
308 map_array_at tfreq (Integer.add weight) t;
309 Array.update (sfreq, t, fold fold_fn feats im)
312 val add_sym = map_array_at dffreq (Integer.add 1)
314 add_th nb_def_prior_weight th;
315 List.app (add_th 1) deps;
316 List.app add_sym feats
320 if i = num_facts then ()
321 else (learn_one i (Vector.sub (featss, i)) (Vector.sub (depss, i)); for (i + 1))
324 (Array.vector tfreq, Array.vector sfreq, Array.vector dffreq)
327 fun naive_bayes (tfreq, sfreq, dffreq) num_facts max_suggs visible_facts goal_feats =
329 val tau = 0.05 (* FUDGE *)
330 val pos_weight = 10.0 (* FUDGE *)
331 val def_val = ~15.0 (* FUDGE *)
333 val ln_afreq = Math.ln (Real.fromInt num_facts)
334 val idf = Vector.map (fn i => ln_afreq - Math.ln (Real.fromInt i)) dffreq
336 fun tfidf feat = Vector.sub (idf, feat)
338 fun log_posterior i =
340 val tfreq = Real.fromInt (Vector.sub (tfreq, i))
342 fun fold_feats (f, fw0) (res, sfh) =
343 (case Inttab.lookup sfh f of
345 (res + fw0 * tfidf f * Math.ln (pos_weight * Real.fromInt sf / tfreq),
347 | NONE => (res + fw0 * tfidf f * def_val, sfh))
349 val (res, sfh) = fold fold_feats goal_feats (Math.ln tfreq, Vector.sub (sfreq, i))
351 fun fold_sfh (f, sf) sow =
352 sow + tfidf f * Math.ln (1.0 + (1.0 - Real.fromInt sf) / tfreq)
354 val sum_of_weights = Inttab.fold fold_sfh sfh 0.0
356 res + tau * sum_of_weights
359 val posterior = Array.tabulate (num_facts, (fn j => (j, log_posterior j)))
362 if at = num_facts then acc else ret (at + 1) (Array.sub (posterior, at) :: acc)
364 select_visible_facts 100000.0 posterior visible_facts;
365 rev_sort_array_prefix (Real.compare o pairself snd) max_suggs posterior;
366 ret (Integer.max 0 (num_facts - max_suggs)) []
369 val number_of_nearest_neighbors = 10 (* FUDGE *)
371 fun k_nearest_neighbors dffreq num_facts num_feats depss featss max_suggs visible_facts goal_feats =
373 exception EXIT of unit
375 val ln_afreq = Math.ln (Real.fromInt num_facts)
376 fun tfidf feat = ln_afreq - Math.ln (Real.fromInt (Vector.sub (dffreq, feat)))
378 val overlaps_sqr = Array.tabulate (num_facts, rpair 0.0)
380 val feat_facts = Array.array (num_feats, [])
381 val _ = Vector.foldl (fn (feats, fact) =>
382 (List.app (map_array_at feat_facts (cons fact)) feats; fact + 1)) 0 featss
384 fun do_feat (s, sw0) =
386 val sw = sw0 * tfidf s
390 let val (_, ov) = Array.sub (overlaps_sqr, j) in
391 Array.update (overlaps_sqr, j, (j, w2 + ov))
394 List.app inc_overlap (Array.sub (feat_facts, s))
397 val _ = List.app do_feat goal_feats
398 val _ = rev_sort_array_prefix (Real.compare o pairself snd) num_facts overlaps_sqr
399 val no_recommends = Unsynchronized.ref 0
400 val recommends = Array.tabulate (num_facts, rpair 0.0)
401 val age = Unsynchronized.ref 500000000.0
403 fun inc_recommend v j =
404 let val (_, ov) = Array.sub (recommends, j) in
406 (no_recommends := !no_recommends + 1; Array.update (recommends, j, (j, !age + ov)))
407 else if ov < !age + 1000.0 then
408 Array.update (recommends, j, (j, v + ov))
413 val k = Unsynchronized.ref 0
415 if k >= num_facts then
419 val (j, o2) = Array.sub (overlaps_sqr, num_facts - k - 1)
420 val o1 = Math.sqrt o2
421 val _ = inc_recommend o1 j
422 val ds = Vector.sub (depss, j)
423 val l = Real.fromInt (length ds)
425 List.app (inc_recommend (o1 / l)) ds
429 if !k = number_of_nearest_neighbors then () else (do_k (!k); k := !k + 1; while1 ())
433 if !no_recommends >= max_suggs then ()
434 else (do_k (!k); k := !k + 1; age := !age - 10000.0; while2 ())
438 if at = num_facts then acc else ret (Array.sub (recommends, at) :: acc) (at + 1)
442 select_visible_facts 1000000000.0 recommends visible_facts;
443 rev_sort_array_prefix (Real.compare o pairself snd) max_suggs recommends;
444 ret [] (Integer.max 0 (num_facts - max_suggs))
448 fun external_tool tool max_suggs learns goal_feats =
450 val ser = string_of_int (serial ()) (* poor person's attempt at thread-safety *)
451 val ocs = TextIO.openOut ("adv_syms" ^ ser)
452 val ocd = TextIO.openOut ("adv_deps" ^ ser)
453 val ocq = TextIO.openOut ("adv_seq" ^ ser)
454 val occ = TextIO.openOut ("adv_conj" ^ ser)
456 fun os oc s = TextIO.output (oc, s)
460 | ol oc f sep (h :: t) = (f h; os oc sep; ol oc f sep t)
462 fun do_learn (name, feats, deps) =
463 (os ocs name; os ocs ":"; ol ocs (os ocs o quote) ", " feats; os ocs "\n";
464 os ocd name; os ocd ":"; ol ocd (os ocd) " " deps; os ocd "\n"; os ocq name; os ocq "\n")
469 "~/misc/" ^ tool ^ " adv_syms" ^ ser ^ " adv_deps" ^ ser ^ " " ^ string_of_int no ^
470 " adv_seq" ^ ser ^ " < adv_conj" ^ ser
472 fst (Isabelle_System.bash_output cmd)
474 |> filter_out (curry (op =) "")
477 (List.app do_learn learns; ol occ (os occ o quote) ", " (map fst goal_feats);
478 TextIO.closeOut ocs; TextIO.closeOut ocd; TextIO.closeOut ocq; TextIO.closeOut occ;
482 val k_nearest_neighbors_ext =
483 external_tool ("newknn/knn" ^ " " ^ string_of_int number_of_nearest_neighbors)
484 val naive_bayes_ext = external_tool "predict/nbayes"
486 fun query_external ctxt engine max_suggs learns goal_feats =
487 (trace_msg ctxt (fn () => "MaSh query external " ^ commas (map fst goal_feats));
489 MaSh_NB_Ext => naive_bayes_ext max_suggs learns goal_feats
490 | MaSh_kNN_Ext => k_nearest_neighbors_ext max_suggs learns goal_feats))
492 fun query_internal ctxt engine num_facts num_feats (fact_names, featss, depss)
493 (freqs as (_, _, dffreq)) visible_facts max_suggs goal_feats int_goal_feats =
496 naive_bayes freqs num_facts max_suggs visible_facts int_goal_feats
499 k_nearest_neighbors dffreq num_facts num_feats depss featss max_suggs visible_facts
503 (trace_msg ctxt (fn () => "MaSh query internal " ^ commas (map fst goal_feats) ^ " from {" ^
504 elide_string 1000 (space_implode " " (Vector.foldr (op ::) [] fact_names)) ^ "}");
511 [(0.5 (* FUDGE *), (weight_facts_steeply (nb ()), [])),
512 (0.5 (* FUDGE *), (weight_facts_steeply (knn ()), []))]
514 mesh_facts (op =) max_suggs mess
516 |> map (curry Vector.sub fact_names))
522 (*** Persistent, stringly-typed state ***)
525 if Char.isAlphaNum c orelse c = #"_" orelse c = #"." orelse c = #"(" orelse c = #")" orelse
529 (* fixed width, in case more digits follow *)
530 "%" ^ stringN_of_int 3 (Char.ord c)
532 fun unmeta_chars accum [] = String.implode (rev accum)
533 | unmeta_chars accum (#"%" :: d1 :: d2 :: d3 :: cs) =
534 (case Int.fromString (String.implode [d1, d2, d3]) of
535 SOME n => unmeta_chars (Char.chr n :: accum) cs
536 | NONE => "" (* error *))
537 | unmeta_chars _ (#"%" :: _) = "" (* error *)
538 | unmeta_chars accum (c :: cs) = unmeta_chars (c :: accum) cs
540 val encode_str = String.translate meta_char
541 val decode_str = String.explode #> unmeta_chars []
543 val encode_strs = map encode_str #> space_implode " "
544 val decode_strs = space_explode " " #> filter_out (curry (op =) "") #> map decode_str
546 datatype proof_kind = Isar_Proof | Automatic_Proof | Isar_Proof_wegen_Prover_Flop
548 fun str_of_proof_kind Isar_Proof = "i"
549 | str_of_proof_kind Automatic_Proof = "a"
550 | str_of_proof_kind Isar_Proof_wegen_Prover_Flop = "x"
552 fun proof_kind_of_str "a" = Automatic_Proof
553 | proof_kind_of_str "x" = Isar_Proof_wegen_Prover_Flop
554 | proof_kind_of_str _ (* "i" *) = Isar_Proof
556 fun add_edge_to name parent =
557 Graph.default_node (parent, (Isar_Proof, [], []))
558 #> Graph.add_edge (parent, name)
560 fun add_node kind name parents feats deps (access_G, (fact_xtab, feat_xtab), learns) =
561 ((Graph.new_node (name, (kind, feats, deps)) access_G
562 handle Graph.DUP _ => Graph.map_node name (K (kind, feats, deps)) access_G)
563 |> fold (add_edge_to name) parents,
564 (add_to_xtab name fact_xtab, fold maybe_add_to_xtab feats feat_xtab),
565 (name, feats, deps) :: learns)
567 fun try_graph ctxt when def f =
570 Graph.CYCLES (cycle :: _) =>
571 (trace_msg ctxt (fn () => "Cycle involving " ^ commas cycle ^ " when " ^ when); def)
573 (trace_msg ctxt (fn () => "Duplicate fact " ^ quote name ^ " when " ^ when); def)
574 | Graph.UNDEF name =>
575 (trace_msg ctxt (fn () => "Unknown fact " ^ quote name ^ " when " ^ when); def)
577 if Exn.is_interrupt exn then
580 (trace_msg ctxt (fn () => "Internal error when " ^ when ^ ":\n" ^ Runtime.exn_message exn);
584 string_of_int (length (Graph.keys G)) ^ " node(s), " ^
585 string_of_int (fold (Integer.add o length o snd) (Graph.dest G) 0) ^ " edge(s), " ^
586 string_of_int (length (Graph.maximals G)) ^ " maximal"
589 {access_G : (proof_kind * string list * string list) Graph.T,
591 ffds : string vector * int list vector * int list vector,
592 freqs : int vector * int Inttab.table vector * int vector,
593 dirty_facts : string list option}
595 val empty_xtabs = (empty_xtab, empty_xtab)
596 val empty_ffds = (Vector.fromList [], Vector.fromList [], Vector.fromList [])
597 val empty_freqs = (Vector.fromList [], Vector.fromList [], Vector.fromList [])
600 {access_G = Graph.empty,
604 dirty_facts = SOME []} : mash_state
606 fun recompute_ffds_freqs_from_learns learns ((num_facts, fact_tab), (num_feats, feat_tab))
607 num_facts0 (fact_names0, featss0, depss0) freqs0 =
609 val fact_names = Vector.concat [fact_names0, Vector.fromList (map #1 learns)]
610 val featss = Vector.concat [featss0,
611 Vector.fromList (map (map_filter (Symtab.lookup feat_tab) o #2) learns)]
612 val depss = Vector.concat [depss0,
613 Vector.fromList (map (map_filter (Symtab.lookup fact_tab) o #3) learns)]
615 ((fact_names, featss, depss),
616 MaSh.learn_facts freqs0 num_facts0 num_facts num_feats depss featss)
619 fun reorder_learns (num_facts, fact_tab) learns =
620 let val ary = Array.array (num_facts, ("", [], [])) in
621 List.app (fn learn as (fact, _, _) =>
622 Array.update (ary, the (Symtab.lookup fact_tab fact), learn))
624 Array.foldr (op ::) [] ary
627 fun recompute_ffds_freqs_from_access_G access_G (xtabs as (fact_xtab, _)) =
630 Graph.schedule (fn _ => fn (fact, (_, feats, deps)) => (fact, feats, deps)) access_G
631 |> reorder_learns fact_xtab
633 recompute_ffds_freqs_from_learns learns xtabs 0 empty_ffds empty_freqs
638 val version = "*** MaSh version 20140625 ***"
640 exception FILE_VERSION_TOO_NEW of unit
642 fun extract_node line =
643 (case space_explode ":" line of
645 (case (space_explode " " head, map (unprefix " ") (space_explode ";" tail)) of
646 ([kind, name], [parents, feats, deps]) =>
647 SOME (proof_kind_of_str kind, decode_str name, decode_strs parents, decode_strs feats,
652 fun load_state ctxt (time_state as (memory_time, _)) =
653 let val path = mash_state_file () in
654 (case try OS.FileSys.modTime (Path.implode path) of
657 if Time.>= (memory_time, disk_time) then
661 (case try File.read_lines path of
662 SOME (version' :: node_lines) =>
664 fun extract_line_and_add_node line =
665 (case extract_node line of
666 NONE => I (* should not happen *)
667 | SOME (kind, name, parents, feats, deps) => add_node kind name parents feats deps)
669 val empty_G_etc = (Graph.empty, empty_xtabs, [])
671 val (access_G, xtabs, rev_learns) =
672 (case string_ord (version', version) of
674 try_graph ctxt "loading state" empty_G_etc
675 (fn () => fold extract_line_and_add_node node_lines empty_G_etc)
676 | LESS => (wipe_out_mash_state_dir (); empty_G_etc) (* cannot parse old file *)
677 | GREATER => raise FILE_VERSION_TOO_NEW ())
680 recompute_ffds_freqs_from_learns (rev rev_learns) xtabs 0 empty_ffds empty_freqs
682 trace_msg ctxt (fn () => "Loaded fact graph (" ^ graph_info access_G ^ ")");
683 {access_G = access_G, xtabs = xtabs, ffds = ffds, freqs = freqs, dirty_facts = SOME []}
685 | _ => empty_state)))
688 fun str_of_entry (kind, name, parents, feats, deps) =
689 str_of_proof_kind kind ^ " " ^ encode_str name ^ ": " ^ encode_strs parents ^ "; " ^
690 encode_strs feats ^ "; " ^ encode_strs deps ^ "\n"
692 fun save_state _ (time_state as (_, {dirty_facts = SOME [], ...})) = time_state
693 | save_state ctxt (memory_time, {access_G, xtabs, ffds, freqs, dirty_facts}) =
695 fun append_entry (name, ((kind, feats, deps), (parents, _))) =
696 cons (kind, name, Graph.Keys.dest parents, feats, deps)
698 val path = mash_state_file ()
700 (case try OS.FileSys.modTime (Path.implode path) of
702 | SOME disk_time => if Time.< (disk_time, memory_time) then dirty_facts else NONE)
703 val (banner, entries) =
704 (case dirty_facts' of
705 SOME names => (NONE, fold (append_entry o Graph.get_entry access_G) names [])
706 | NONE => (SOME (version ^ "\n"), Graph.fold append_entry access_G []))
708 (case banner of SOME s => File.write path s | NONE => ();
709 entries |> chunk_list 500 |> List.app (File.append path o implode o map str_of_entry))
710 handle IO.Io _ => ();
711 trace_msg ctxt (fn () =>
712 "Saved fact graph (" ^ graph_info access_G ^
714 SOME dirty_facts => "; " ^ string_of_int (length dirty_facts) ^ " dirty fact(s)"
717 {access_G = access_G, xtabs = xtabs, ffds = ffds, freqs = freqs, dirty_facts = SOME []})
720 val global_state = Synchronized.var "Sledgehammer_MaSh.global_state" (Time.zeroTime, empty_state)
724 fun map_state ctxt f =
725 Synchronized.change global_state (load_state ctxt ##> f #> save_state ctxt)
726 handle FILE_VERSION_TOO_NEW () => ()
728 fun peek_state ctxt =
729 Synchronized.change_result global_state (perhaps (try (load_state ctxt)) #> `snd)
732 Synchronized.change global_state (fn _ =>
733 (wipe_out_mash_state_dir (); (Time.zeroTime, empty_state)))
738 (*** Isabelle helpers ***)
740 val local_prefix = "local" ^ Long_Name.separator
742 fun elided_backquote_thm threshold th =
743 elide_string threshold (backquote_thm (Proof_Context.init_global (Thm.theory_of_thm th)) th)
745 val thy_name_of_thm = Context.theory_name o Thm.theory_of_thm
747 fun nickname_of_thm th =
748 if Thm.has_name_hint th then
749 let val hint = Thm.get_name_hint th in
750 (* There must be a better way to detect local facts. *)
751 (case try (unprefix local_prefix) hint of
753 thy_name_of_thm th ^ Long_Name.separator ^ suf ^ Long_Name.separator ^
754 elided_backquote_thm 50 th
758 elided_backquote_thm 200 th
760 fun find_suggested_facts ctxt facts =
762 fun add (fact as (_, th)) = Symtab.default (nickname_of_thm th, fact)
763 val tab = fold add facts Symtab.empty
765 Symtab.lookup tab nick
766 |> tap (fn NONE => trace_msg ctxt (fn () => "Cannot find " ^ quote nick) | _ => ())
767 in map_filter lookup end
769 fun free_feature_of s = "f" ^ s
770 fun thy_feature_of s = "y" ^ s
771 fun type_feature_of s = "t" ^ s
772 fun class_feature_of s = "s" ^ s
773 val local_feature = "local"
775 fun crude_theory_ord p =
776 if Theory.subthy p then
777 if Theory.eq_thy p then EQUAL else LESS
778 else if Theory.subthy (swap p) then
781 (case int_ord (pairself (length o Theory.ancestors_of) p) of
782 EQUAL => string_ord (pairself Context.theory_name p)
785 fun crude_thm_ord p =
786 (case crude_theory_ord (pairself theory_of_thm p) of
788 (* The hack below is necessary because of odd dependencies that are not reflected in the theory
790 let val q = pairself nickname_of_thm p in
791 (* Hack to put "xxx_def" before "xxxI" and "xxxE" *)
792 (case bool_ord (pairself (String.isSuffix "_def") (swap q)) of
793 EQUAL => string_ord q
798 val thm_less_eq = Theory.subthy o pairself theory_of_thm
799 fun thm_less p = thm_less_eq p andalso not (thm_less_eq (swap p))
801 val freezeT = Type.legacy_freeze_type
803 fun freeze (t $ u) = freeze t $ freeze u
804 | freeze (Abs (s, T, t)) = Abs (s, freezeT T, freeze t)
805 | freeze (Var ((s, _), T)) = Free (s, freezeT T)
806 | freeze (Const (s, T)) = Const (s, freezeT T)
807 | freeze (Free (s, T)) = Free (s, freezeT T)
810 fun goal_of_thm thy = prop_of #> freeze #> cterm_of thy #> Goal.init
812 fun run_prover_for_mash ctxt params prover goal_name facts goal =
815 {comment = "Goal: " ^ goal_name, state = Proof.init ctxt, goal = goal, subgoal = 1,
816 subgoal_count = 1, factss = [("", facts)]}
818 get_minimizing_prover ctxt MaSh (K ()) prover params (K (K (K ""))) problem
821 val bad_types = [@{type_name prop}, @{type_name bool}, @{type_name fun}]
823 val pat_tvar_prefix = "_"
824 val pat_var_prefix = "_"
826 (* try "Long_Name.base_name" for shorter names *)
827 fun massage_long_name s = s
829 val crude_str_of_sort = space_implode ":" o map massage_long_name o subtract (op =) @{sort type}
831 fun crude_str_of_typ (Type (s, [])) = massage_long_name s
832 | crude_str_of_typ (Type (s, Ts)) = massage_long_name s ^ implode (map crude_str_of_typ Ts)
833 | crude_str_of_typ (TFree (_, S)) = crude_str_of_sort S
834 | crude_str_of_typ (TVar (_, S)) = crude_str_of_sort S
836 fun maybe_singleton_str _ "" = []
837 | maybe_singleton_str pref s = [pref ^ s]
839 val max_pat_breadth = 10 (* FUDGE *)
841 fun term_features_of ctxt thy_name term_max_depth type_max_depth ts =
843 val thy = Proof_Context.theory_of ctxt
845 val fixes = map snd (Variable.dest_fixes ctxt)
846 val classes = Sign.classes_of thy
848 fun add_classes @{sort type} = I
850 fold (`(Sorts.super_classes classes)
852 #> subtract (op =) @{sort type} #> map massage_long_name
853 #> map class_feature_of
856 fun pattify_type 0 _ = []
857 | pattify_type _ (Type (s, [])) =
858 if member (op =) bad_types s then [] else [massage_long_name s]
859 | pattify_type depth (Type (s, U :: Ts)) =
862 val ps = take max_pat_breadth (pattify_type depth T)
863 val qs = take max_pat_breadth ("" :: pattify_type (depth - 1) U)
865 map_product (fn p => fn "" => p | q => p ^ "(" ^ q ^ ")") ps qs
867 | pattify_type _ (TFree (_, S)) =
868 maybe_singleton_str pat_tvar_prefix (crude_str_of_sort S)
869 | pattify_type _ (TVar (_, S)) =
870 maybe_singleton_str pat_tvar_prefix (crude_str_of_sort S)
872 fun add_type_pat depth T =
873 union (op =) (map type_feature_of (pattify_type depth T))
875 fun add_type_pats 0 _ = I
876 | add_type_pats depth t = add_type_pat depth t #> add_type_pats (depth - 1) t
879 add_type_pats type_max_depth T
880 #> fold_atyps_sorts (add_classes o snd) T
882 fun add_subtypes (T as Type (_, Ts)) = add_type T #> fold add_subtypes Ts
883 | add_subtypes T = add_type T
885 fun pattify_term _ 0 _ = []
886 | pattify_term _ _ (Const (s, _)) =
887 if is_widely_irrelevant_const s then [] else [massage_long_name s]
888 | pattify_term _ _ (Free (s, T)) =
889 maybe_singleton_str pat_var_prefix (crude_str_of_typ T)
890 |> (if member (op =) fixes s then
891 cons (free_feature_of (massage_long_name (thy_name ^ Long_Name.separator ^ s)))
894 | pattify_term _ _ (Var (_, T)) = maybe_singleton_str pat_var_prefix (crude_str_of_typ T)
895 | pattify_term Ts _ (Bound j) =
896 maybe_singleton_str pat_var_prefix (crude_str_of_typ (nth Ts j))
897 | pattify_term Ts depth (t $ u) =
899 val ps = take max_pat_breadth (pattify_term Ts depth t)
900 val qs = take max_pat_breadth ("" :: pattify_term Ts (depth - 1) u)
902 map_product (fn p => fn "" => p | q => p ^ "(" ^ q ^ ")") ps qs
904 | pattify_term _ _ _ = []
906 fun add_term_pat Ts = union (op =) oo pattify_term Ts
908 fun add_term_pats _ 0 _ = I
909 | add_term_pats Ts depth t = add_term_pat Ts depth t #> add_term_pats Ts (depth - 1) t
911 fun add_term Ts = add_term_pats Ts term_max_depth
913 fun add_subterms Ts t =
914 (case strip_comb t of
915 (Const (s, T), args) =>
916 (not (is_widely_irrelevant_const s) ? add_term Ts t)
917 #> add_subtypes T #> fold (add_subterms Ts) args
920 Free (_, T) => add_term Ts t #> add_subtypes T
921 | Var (_, T) => add_subtypes T
922 | Abs (_, T, body) => add_subtypes T #> add_subterms (T :: Ts) body
924 #> fold (add_subterms Ts) args)
926 fold (add_subterms []) ts []
929 val term_max_depth = 2
930 val type_max_depth = 1
932 (* TODO: Generate type classes for types? *)
933 fun features_of ctxt thy (scope, _) ts =
934 let val thy_name = Context.theory_name thy in
935 thy_feature_of thy_name ::
936 term_features_of ctxt thy_name term_max_depth type_max_depth ts
937 |> scope <> Global ? cons local_feature
940 (* Too many dependencies is a sign that a decision procedure is at work. There is not much to learn
942 val max_dependencies = 20
944 val prover_default_max_facts = 25
946 (* "type_definition_xxx" facts are characterized by their use of "CollectI". *)
947 val typedef_dep = nickname_of_thm @{thm CollectI}
948 (* Mysterious parts of the class machinery create lots of proofs that refer exclusively to
949 "someI_ex" (and to some internal constructions). *)
950 val class_some_dep = nickname_of_thm @{thm someI_ex}
953 @{thms fundef_ex1_existence fundef_ex1_uniqueness fundef_ex1_iff fundef_default_value}
954 |> map nickname_of_thm
956 (* "Rep_xxx_inject", "Abs_xxx_inverse", etc., are derived using these facts. *)
958 @{thms type_definition.Abs_inverse type_definition.Rep_inverse type_definition.Rep
959 type_definition.Rep_inject type_definition.Abs_inject type_definition.Rep_cases
960 type_definition.Abs_cases type_definition.Rep_induct type_definition.Abs_induct
961 type_definition.Rep_range type_definition.Abs_image}
962 |> map nickname_of_thm
964 fun is_size_def [dep] th =
965 (case first_field ".rec" dep of
967 (case first_field ".size" (nickname_of_thm th) of
968 SOME (pref', _) => pref = pref'
971 | is_size_def _ _ = false
973 fun trim_dependencies deps =
974 if length deps > max_dependencies then NONE else SOME deps
976 fun isar_dependencies_of name_tabs th =
977 thms_in_proof max_dependencies (SOME name_tabs) th
978 |> Option.map (fn deps =>
979 if deps = [typedef_dep] orelse deps = [class_some_dep] orelse
980 exists (member (op =) fundef_ths) deps orelse exists (member (op =) typedef_ths) deps orelse
981 is_size_def deps th then
986 fun prover_dependencies_of ctxt (params as {verbose, max_facts, ...}) prover auto_level facts
988 (case isar_dependencies_of name_tabs th of
989 SOME [] => (false, [])
992 val isar_deps = these isar_deps0
993 val thy = Proof_Context.theory_of ctxt
994 val goal = goal_of_thm thy th
995 val name = nickname_of_thm th
996 val (_, hyp_ts, concl_t) = ATP_Util.strip_subgoal goal 1 ctxt
997 val facts = facts |> filter (fn (_, th') => thm_less (th', th))
999 fun nickify ((_, stature), th) = ((nickname_of_thm th, stature), th)
1001 fun is_dep dep (_, th) = nickname_of_thm th = dep
1003 fun add_isar_dep facts dep accum =
1004 if exists (is_dep dep) accum then
1007 (case find_first (is_dep dep) facts of
1008 SOME ((_, status), th) => accum @ [(("", status), th)]
1009 | NONE => accum (* should not happen *))
1013 |> mepo_suggested_facts ctxt params (max_facts |> the_default prover_default_max_facts) NONE
1017 |> fold (add_isar_dep facts) isar_deps
1019 val num_isar_deps = length isar_deps
1021 if verbose andalso auto_level = 0 then
1022 Output.urgent_message ("MaSh: " ^ quote prover ^ " on " ^ quote name ^ " with " ^
1023 string_of_int num_isar_deps ^ " + " ^ string_of_int (length facts - num_isar_deps) ^
1027 (case run_prover_for_mash ctxt params prover name facts goal of
1028 {outcome = NONE, used_facts, ...} =>
1029 (if verbose andalso auto_level = 0 then
1030 let val num_facts = length used_facts in
1031 Output.urgent_message ("Found proof with " ^ string_of_int num_facts ^ " fact" ^
1032 plural_s num_facts ^ ".")
1036 (true, map fst used_facts))
1037 | _ => (false, isar_deps))
1041 (*** High-level communication with MaSh ***)
1043 (* In the following functions, chunks are risers w.r.t. "thm_less_eq". *)
1045 fun chunks_and_parents_for chunks th =
1047 fun insert_parent new parents =
1048 let val parents = parents |> filter_out (fn p => thm_less_eq (p, new)) in
1049 parents |> forall (fn p => not (thm_less_eq (new, p))) parents ? cons new
1052 fun rechunk seen (rest as th' :: ths) =
1053 if thm_less_eq (th', th) then (rev seen, rest)
1054 else rechunk (th' :: seen) ths
1056 fun do_chunk [] accum = accum
1057 | do_chunk (chunk as hd_chunk :: _) (chunks, parents) =
1058 if thm_less_eq (hd_chunk, th) then
1059 (chunk :: chunks, insert_parent hd_chunk parents)
1060 else if thm_less_eq (List.last chunk, th) then
1061 let val (front, back as hd_back :: _) = rechunk [] chunk in
1062 (front :: back :: chunks, insert_parent hd_back parents)
1065 (chunk :: chunks, parents)
1067 fold_rev do_chunk chunks ([], [])
1069 ||> map nickname_of_thm
1072 fun attach_parents_to_facts _ [] = []
1073 | attach_parents_to_facts old_facts (facts as (_, th) :: _) =
1075 fun do_facts _ [] = []
1076 | do_facts (_, parents) [fact] = [(parents, fact)]
1077 | do_facts (chunks, parents)
1078 ((fact as (_, th)) :: (facts as (_, th') :: _)) =
1080 val chunks = app_hd (cons th) chunks
1081 val chunks_and_parents' =
1082 if thm_less_eq (th, th') andalso thy_name_of_thm th = thy_name_of_thm th' then
1083 (chunks, [nickname_of_thm th])
1085 chunks_and_parents_for chunks th'
1087 (parents, fact) :: do_facts chunks_and_parents' facts
1091 |> do_facts (chunks_and_parents_for [[]] th)
1092 |> drop (length old_facts)
1095 fun maximal_wrt_graph G keys =
1097 val tab = Symtab.empty |> fold (fn name => Symtab.default (name, ())) keys
1099 fun insert_new seen name = not (Symtab.defined seen name) ? insert (op =) name
1101 fun num_keys keys = Graph.Keys.fold (K (Integer.add 1)) keys 0
1103 fun find_maxes _ (maxs, []) = map snd maxs
1104 | find_maxes seen (maxs, new :: news) =
1105 find_maxes (seen |> num_keys (Graph.imm_succs G new) > 1 ? Symtab.default (new, ()))
1106 (if Symtab.defined tab new then
1108 val newp = Graph.all_preds G [new]
1109 fun is_ancestor x yp = member (op =) yp x
1110 val maxs = maxs |> filter (fn (_, max) => not (is_ancestor max newp))
1112 if exists (is_ancestor new o fst) maxs then (maxs, news)
1113 else ((newp, new) :: filter_out (fn (_, max) => is_ancestor max newp) maxs, news)
1116 (maxs, Graph.Keys.fold (insert_new seen) (Graph.imm_preds G new) news))
1118 find_maxes Symtab.empty ([], Graph.maximals G)
1121 fun maximal_wrt_access_graph _ [] = []
1122 | maximal_wrt_access_graph access_G ((fact as (_, th)) :: facts) =
1123 let val thy = theory_of_thm th in
1124 fact :: filter_out (fn (_, th') => Theory.subthy (theory_of_thm th', thy)) facts
1125 |> map (nickname_of_thm o snd)
1126 |> maximal_wrt_graph access_G
1129 fun is_fact_in_graph access_G = can (Graph.get_node access_G) o nickname_of_thm
1131 val chained_feature_factor = 0.5 (* FUDGE *)
1132 val extra_feature_factor = 0.1 (* FUDGE *)
1133 val num_extra_feature_facts = 10 (* FUDGE *)
1135 val max_proximity_facts = 100
1137 fun find_mash_suggestions ctxt max_facts suggs facts chained raw_unknown =
1139 val inter_fact = inter (eq_snd Thm.eq_thm_prop)
1140 val raw_mash = find_suggested_facts ctxt facts suggs
1141 val proximate = take max_proximity_facts facts
1142 val unknown_chained = inter_fact raw_unknown chained
1143 val unknown_proximate = inter_fact raw_unknown proximate
1145 [(0.9 (* FUDGE *), (map (rpair 1.0) unknown_chained, [])),
1146 (0.4 (* FUDGE *), (weight_facts_smoothly unknown_proximate, [])),
1147 (0.1 (* FUDGE *), (weight_facts_steeply raw_mash, raw_unknown))]
1148 val unknown = raw_unknown
1149 |> fold (subtract (eq_snd Thm.eq_thm_prop)) [unknown_chained, unknown_proximate]
1151 (mesh_facts (eq_snd (gen_eq_thm ctxt)) max_facts mess, unknown)
1154 fun mash_suggested_facts ctxt thy ({debug, ...} : params) max_suggs hyp_ts concl_t facts =
1156 val thy_name = Context.theory_name thy
1157 val engine = the_mash_engine ()
1160 |> rev_sort_list_prefix (crude_thm_ord o pairself snd)
1161 (Int.max (num_extra_feature_facts, max_proximity_facts))
1163 val chained = filter (fn ((_, (scope, _)), _) => scope = Chained) facts
1165 fun fact_has_right_theory (_, th) =
1166 thy_name = Context.theory_name (theory_of_thm th)
1168 fun chained_or_extra_features_of factor (((_, stature), th), weight) =
1170 |> features_of ctxt (theory_of_thm th) stature
1171 |> map (rpair (weight * factor))
1173 val {access_G, xtabs = ((num_facts, fact_tab), (num_feats, feat_tab)), ffds, freqs, ...} =
1176 val goal_feats0 = features_of ctxt thy (Local, General) (concl_t :: hyp_ts)
1177 val chained_feats = chained
1179 |> map (chained_or_extra_features_of chained_feature_factor)
1180 |> rpair [] |-> fold (union (eq_fst (op =)))
1181 val extra_feats = facts
1182 |> take (Int.max (0, num_extra_feature_facts - length chained))
1183 |> filter fact_has_right_theory
1184 |> weight_facts_steeply
1185 |> map (chained_or_extra_features_of extra_feature_factor)
1186 |> rpair [] |-> fold (union (eq_fst (op =)))
1189 fold (union (eq_fst (op =))) [chained_feats, extra_feats] (map (rpair 1.0) goal_feats0)
1190 |> debug ? sort (Real.compare o swap o pairself snd)
1192 val parents = maximal_wrt_access_graph access_G facts
1193 val visible_facts = map_filter (Symtab.lookup fact_tab) (Graph.all_preds access_G parents)
1196 if engine = MaSh_NB_Ext orelse engine = MaSh_kNN_Ext then
1199 Graph.schedule (fn _ => fn (fact, (_, feats, deps)) => (fact, feats, deps)) access_G
1201 MaSh.query_external ctxt engine max_suggs learns goal_feats
1205 val int_goal_feats =
1206 map_filter (fn (s, w) => Option.map (rpair w) (Symtab.lookup feat_tab s)) goal_feats
1208 MaSh.query_internal ctxt engine num_facts num_feats ffds freqs visible_facts max_suggs
1209 goal_feats int_goal_feats
1212 val unknown = filter_out (is_fact_in_graph access_G o snd) facts
1214 find_mash_suggestions ctxt max_suggs suggs facts chained unknown
1215 |> pairself (map fact_of_raw_fact)
1218 fun mash_unlearn () =
1219 (clear_state (); Output.urgent_message "Reset MaSh.")
1221 fun learn_wrt_access_graph ctxt (name, parents, feats, deps) (access_G, (fact_xtab, feat_xtab)) =
1223 fun maybe_learn_from from (accum as (parents, access_G)) =
1224 try_graph ctxt "updating graph" accum (fn () =>
1225 (from :: parents, Graph.add_edge_acyclic (from, name) access_G))
1227 val access_G = access_G |> Graph.default_node (name, (Isar_Proof, feats, deps))
1228 val (parents, access_G) = ([], access_G) |> fold maybe_learn_from parents
1229 val (deps, _) = ([], access_G) |> fold maybe_learn_from deps
1231 val fact_xtab = add_to_xtab name fact_xtab
1232 val feat_xtab = fold maybe_add_to_xtab feats feat_xtab
1234 ((name, parents, feats, deps), (access_G, (fact_xtab, feat_xtab)))
1237 fun relearn_wrt_access_graph ctxt (name, deps) access_G =
1239 fun maybe_relearn_from from (accum as (parents, access_G)) =
1240 try_graph ctxt "updating graph" accum (fn () =>
1241 (from :: parents, Graph.add_edge_acyclic (from, name) access_G))
1243 access_G |> Graph.map_node name (fn (_, feats, _) => (Automatic_Proof, feats, deps))
1244 val (deps, _) = ([], access_G) |> fold maybe_relearn_from deps
1246 ((name, deps), access_G)
1249 fun flop_wrt_access_graph name =
1250 Graph.map_node name (fn (_, feats, deps) => (Isar_Proof_wegen_Prover_Flop, feats, deps))
1252 val learn_timeout_slack = 20.0
1254 fun launch_thread timeout task =
1256 val hard_timeout = time_mult learn_timeout_slack timeout
1257 val birth_time = Time.now ()
1258 val death_time = Time.+ (birth_time, hard_timeout)
1259 val desc = ("Machine learner for Sledgehammer", "")
1261 Async_Manager.thread MaShN birth_time death_time desc task
1264 fun learned_proof_name () =
1265 Date.fmt ".%Y%m%d.%H%M%S." (Date.fromTimeLocal (Time.now ())) ^ serial_string ()
1267 fun mash_learn_proof ctxt ({timeout, ...} : params) t facts used_ths =
1268 if not (null used_ths) andalso is_mash_enabled () then
1269 launch_thread timeout (fn () =>
1271 val thy = Proof_Context.theory_of ctxt
1272 val feats = features_of ctxt thy (Local, General) [t]
1273 val facts = rev_sort_list_prefix (crude_thm_ord o pairself snd) 1 facts
1276 (fn {access_G, xtabs as ((num_facts0, _), _), ffds, freqs, dirty_facts} =>
1278 val parents = maximal_wrt_access_graph access_G facts
1280 |> filter (is_fact_in_graph access_G)
1281 |> map nickname_of_thm
1283 val name = learned_proof_name ()
1284 val (access_G', xtabs', rev_learns) =
1285 add_node Automatic_Proof name parents feats deps (access_G, xtabs, [])
1287 val (ffds', freqs') =
1288 recompute_ffds_freqs_from_learns (rev rev_learns) xtabs' num_facts0 ffds freqs
1290 {access_G = access_G', xtabs = xtabs', ffds = ffds', freqs = freqs',
1291 dirty_facts = Option.map (cons name) dirty_facts}
1298 fun sendback sub = Active.sendback_markup [Markup.padding_command] (sledgehammerN ^ " " ^ sub)
1300 val commit_timeout = seconds 30.0
1302 (* The timeout is understood in a very relaxed fashion. *)
1303 fun mash_learn_facts ctxt (params as {debug, verbose, ...}) prover auto_level run_prover
1304 learn_timeout facts =
1306 val timer = Timer.startRealTimer ()
1307 fun next_commit_time () = Time.+ (Timer.checkRealTimer timer, commit_timeout)
1309 val {access_G, ...} = peek_state ctxt
1310 val is_in_access_G = is_fact_in_graph access_G o snd
1311 val no_new_facts = forall is_in_access_G facts
1313 if no_new_facts andalso not run_prover then
1314 if auto_level < 2 then
1315 "No new " ^ (if run_prover then "automatic" else "Isar") ^ " proofs to learn." ^
1316 (if auto_level = 0 andalso not run_prover then
1317 "\n\nHint: Try " ^ sendback learn_proverN ^ " to learn from an automatic prover."
1324 val name_tabs = build_name_tables nickname_of_thm facts
1326 fun deps_of status th =
1327 if status = Non_Rec_Def orelse status = Rec_Def then
1329 else if run_prover then
1330 prover_dependencies_of ctxt params prover auto_level facts name_tabs th
1331 |> (fn (false, _) => NONE | (true, deps) => trim_dependencies deps)
1333 isar_dependencies_of name_tabs th
1335 fun do_commit [] [] [] state = state
1336 | do_commit learns relearns flops
1337 {access_G, xtabs as ((num_facts0, _), _), ffds, freqs, dirty_facts} =
1339 val was_empty = Graph.is_empty access_G
1341 val (learns, (access_G, xtabs)) =
1342 fold_map (learn_wrt_access_graph ctxt) learns (access_G, xtabs)
1343 val (relearns, access_G) =
1344 fold_map (relearn_wrt_access_graph ctxt) relearns access_G
1346 val access_G = access_G |> fold flop_wrt_access_graph flops
1348 (case (was_empty, dirty_facts) of
1349 (false, SOME names) => SOME (map #1 learns @ map #1 relearns @ names)
1352 val (ffds', freqs') =
1353 if null relearns then
1354 recompute_ffds_freqs_from_learns
1355 (map (fn (name, _, feats, deps) => (name, feats, deps)) learns) xtabs num_facts0
1358 recompute_ffds_freqs_from_access_G access_G xtabs
1360 {access_G = access_G, xtabs = xtabs, ffds = ffds', freqs = freqs',
1361 dirty_facts = dirty_facts}
1364 fun commit last learns relearns flops =
1365 (if debug andalso auto_level = 0 then Output.urgent_message "Committing..." else ();
1366 map_state ctxt (do_commit (rev learns) relearns flops);
1367 if not last andalso auto_level = 0 then
1368 let val num_proofs = length learns + length relearns in
1369 Output.urgent_message ("Learned " ^ string_of_int num_proofs ^ " " ^
1370 (if run_prover then "automatic" else "Isar") ^ " proof" ^
1371 plural_s num_proofs ^ " in the last " ^ string_of_time commit_timeout ^ ".")
1376 fun learn_new_fact _ (accum as (_, (_, _, true))) = accum
1377 | learn_new_fact (parents, ((_, stature as (_, status)), th))
1378 (learns, (num_nontrivial, next_commit, _)) =
1380 val name = nickname_of_thm th
1381 val feats = features_of ctxt (theory_of_thm th) stature [prop_of th]
1382 val deps = deps_of status th |> these
1383 val num_nontrivial = num_nontrivial |> not (null deps) ? Integer.add 1
1384 val learns = (name, parents, feats, deps) :: learns
1385 val (learns, next_commit) =
1386 if Time.> (Timer.checkRealTimer timer, next_commit) then
1387 (commit false learns [] []; ([], next_commit_time ()))
1389 (learns, next_commit)
1390 val timed_out = Time.> (Timer.checkRealTimer timer, learn_timeout)
1392 (learns, (num_nontrivial, next_commit, timed_out))
1395 val (num_new_facts, num_nontrivial) =
1396 if no_new_facts then
1400 val new_facts = facts
1401 |> sort (crude_thm_ord o pairself snd)
1402 |> attach_parents_to_facts []
1403 |> filter_out (is_in_access_G o snd)
1404 val (learns, (num_nontrivial, _, _)) =
1405 ([], (0, next_commit_time (), false))
1406 |> fold learn_new_fact new_facts
1408 commit true learns [] []; (length new_facts, num_nontrivial)
1411 fun relearn_old_fact _ (accum as (_, (_, _, true))) = accum
1412 | relearn_old_fact ((_, (_, status)), th)
1413 ((relearns, flops), (num_nontrivial, next_commit, _)) =
1415 val name = nickname_of_thm th
1416 val (num_nontrivial, relearns, flops) =
1417 (case deps_of status th of
1418 SOME deps => (num_nontrivial + 1, (name, deps) :: relearns, flops)
1419 | NONE => (num_nontrivial, relearns, name :: flops))
1420 val (relearns, flops, next_commit) =
1421 if Time.> (Timer.checkRealTimer timer, next_commit) then
1422 (commit false [] relearns flops; ([], [], next_commit_time ()))
1424 (relearns, flops, next_commit)
1425 val timed_out = Time.> (Timer.checkRealTimer timer, learn_timeout)
1427 ((relearns, flops), (num_nontrivial, next_commit, timed_out))
1430 val num_nontrivial =
1431 if not run_prover then
1435 val max_isar = 1000 * max_dependencies
1437 fun priority_of th =
1438 random_range 0 max_isar +
1439 (case try (Graph.get_node access_G) (nickname_of_thm th) of
1440 SOME (Isar_Proof, _, deps) => ~100 * length deps
1441 | SOME (Automatic_Proof, _, _) => 2 * max_isar
1442 | SOME (Isar_Proof_wegen_Prover_Flop, _, _) => max_isar
1445 val old_facts = facts
1446 |> filter is_in_access_G
1447 |> map (`(priority_of o snd))
1448 |> sort (int_ord o pairself fst)
1450 val ((relearns, flops), (num_nontrivial, _, _)) =
1451 (([], []), (num_nontrivial, next_commit_time (), false))
1452 |> fold relearn_old_fact old_facts
1454 commit true [] relearns flops; num_nontrivial
1457 if verbose orelse auto_level < 2 then
1458 "Learned " ^ string_of_int num_new_facts ^ " fact" ^ plural_s num_new_facts ^ " and " ^
1459 string_of_int num_nontrivial ^ " nontrivial " ^
1460 (if run_prover then "automatic and " else "") ^ "Isar proof" ^ plural_s num_nontrivial ^
1461 (if verbose then " in " ^ string_of_time (Timer.checkRealTimer timer) else "") ^ "."
1467 fun mash_learn ctxt (params as {provers, timeout, ...}) fact_override chained run_prover =
1469 val css = Sledgehammer_Fact.clasimpset_rule_table_of ctxt
1470 val ctxt = ctxt |> Config.put instantiate_inducts false
1471 val facts = nearly_all_facts ctxt false fact_override Symtab.empty css chained [] @{prop True}
1472 |> sort (crude_thm_ord o pairself snd o swap)
1473 val num_facts = length facts
1474 val prover = hd provers
1476 fun learn auto_level run_prover =
1477 mash_learn_facts ctxt params prover auto_level run_prover one_year facts
1478 |> Output.urgent_message
1481 (Output.urgent_message ("MaShing through " ^ string_of_int num_facts ^ " fact" ^
1482 plural_s num_facts ^ " for automatic proofs (" ^ quote prover ^ " timeout: " ^
1483 string_of_time timeout ^ ").\n\nCollecting Isar proofs first...");
1485 Output.urgent_message "Now collecting automatic proofs. This may take several hours. You \
1486 \can safely stop the learning process at any point.";
1489 (Output.urgent_message ("MaShing through " ^ string_of_int num_facts ^ " fact" ^
1490 plural_s num_facts ^ " for Isar proofs...");
1494 fun mash_can_suggest_facts ctxt =
1495 not (Graph.is_empty (#access_G (peek_state ctxt)))
1497 (* Generate more suggestions than requested, because some might be thrown out later for various
1498 reasons (e.g., duplicates). *)
1499 fun generous_max_suggestions max_facts = 3 * max_facts div 2 + 25
1501 val mepo_weight = 0.5
1502 val mash_weight = 0.5
1504 val max_facts_to_learn_before_query = 100
1506 (* The threshold should be large enough so that MaSh does not get activated for Auto Sledgehammer
1508 val min_secs_for_learning = 15
1510 fun relevant_facts ctxt (params as {verbose, learn, fact_filter, timeout, ...}) prover
1511 max_facts ({add, only, ...} : fact_override) hyp_ts concl_t facts =
1512 if not (subset (op =) (the_list fact_filter, fact_filters)) then
1513 error ("Unknown fact filter: " ^ quote (the fact_filter) ^ ".")
1515 [("", map fact_of_raw_fact facts)]
1516 else if max_facts <= 0 orelse null facts then
1520 val thy = Proof_Context.theory_of ctxt
1522 fun maybe_launch_thread min_num_facts_to_learn =
1523 if not (Async_Manager.has_running_threads MaShN) andalso
1524 Time.toSeconds timeout >= min_secs_for_learning then
1525 let val timeout = time_mult learn_timeout_slack timeout in
1527 Output.urgent_message ("Started MaShing through at least " ^
1528 string_of_int min_num_facts_to_learn ^ " fact" ^ plural_s min_num_facts_to_learn ^
1529 " in the background.")
1532 launch_thread timeout
1533 (fn () => (true, mash_learn_facts ctxt params prover 2 false timeout facts))
1538 fun maybe_learn () =
1541 val {access_G, xtabs = ((num_facts0, _), _), ...} = peek_state ctxt
1542 val is_in_access_G = is_fact_in_graph access_G o snd
1543 val min_num_facts_to_learn = length facts - num_facts0
1545 if min_num_facts_to_learn <= max_facts_to_learn_before_query then
1546 (case length (filter_out is_in_access_G facts) of
1548 | num_facts_to_learn =>
1549 if num_facts_to_learn <= max_facts_to_learn_before_query then
1550 mash_learn_facts ctxt params prover 2 false timeout facts
1551 |> (fn "" => () | s => Output.urgent_message (MaShN ^ ": " ^ s))
1553 maybe_launch_thread num_facts_to_learn)
1555 maybe_launch_thread min_num_facts_to_learn
1560 val effective_fact_filter =
1561 (case fact_filter of
1564 if is_mash_enabled () then
1565 (maybe_learn (); if mash_can_suggest_facts ctxt then meshN else mepoN)
1569 val unique_facts = drop_duplicate_facts facts
1570 val add_ths = Attrib.eval_thms ctxt add
1572 fun in_add (_, th) = member Thm.eq_thm_prop add_ths th
1574 fun add_and_take accepts =
1578 (unique_facts |> filter in_add |> map fact_of_raw_fact) @ (accepts |> filter_out in_add))
1582 (mepo_suggested_facts ctxt params max_facts NONE hyp_ts concl_t unique_facts
1583 |> weight_facts_steeply, [])
1586 mash_suggested_facts ctxt thy params (generous_max_suggestions max_facts) hyp_ts concl_t
1588 |>> weight_facts_steeply
1591 (* the order is important for the "case" expression below *)
1592 [] |> effective_fact_filter <> mepoN ? cons (mash_weight, mash)
1593 |> effective_fact_filter <> mashN ? cons (mepo_weight, mepo)
1594 |> Par_List.map (apsnd (fn f => f ()))
1595 val mesh = mesh_facts (eq_snd (gen_eq_thm ctxt)) max_facts mess |> add_and_take
1597 (case (fact_filter, mess) of
1598 (NONE, [(_, (mepo, _)), (_, (mash, _))]) =>
1599 [(meshN, mesh), (mepoN, mepo |> map fst |> add_and_take),
1600 (mashN, mash |> map fst |> add_and_take)]
1601 | _ => [(effective_fact_filter, mesh)])
1604 fun kill_learners () = Async_Manager.kill_threads MaShN "learner"
1605 fun running_learners () = Async_Manager.running_threads MaShN "learner"