src/HOL/Tools/Sledgehammer/sledgehammer_mash.ML
author blanchet
Sat, 19 Jan 2013 17:42:12 +0100
changeset 50985 23bb011a5832
parent 50969 4179fa5c79fe
child 51001 461fdbbdb912
permissions -rw-r--r--
tuning

(*  Title:      HOL/Tools/Sledgehammer/sledgehammer_mash.ML
    Author:     Jasmin Blanchette, TU Muenchen

Sledgehammer's machine-learning-based relevance filter (MaSh).
*)

signature SLEDGEHAMMER_MASH =
sig
  type stature = ATP_Problem_Generate.stature
  type fact = Sledgehammer_Fact.fact
  type fact_override = Sledgehammer_Fact.fact_override
  type params = Sledgehammer_Provers.params
  type relevance_fudge = Sledgehammer_Provers.relevance_fudge
  type prover_result = Sledgehammer_Provers.prover_result

  val trace : bool Config.T
  val MaShN : string
  val mepoN : string
  val mashN : string
  val meshN : string
  val unlearnN : string
  val learn_isarN : string
  val learn_proverN : string
  val relearn_isarN : string
  val relearn_proverN : string
  val fact_filters : string list
  val encode_str : string -> string
  val encode_strs : string list -> string
  val unencode_str : string -> string
  val unencode_strs : string -> string list
  val encode_features : (string * real) list -> string
  val extract_suggestions : string -> string * string list

  structure MaSh:
  sig
    val unlearn : Proof.context -> unit
    val learn :
      Proof.context -> bool
      -> (string * string list * (string * real) list * string list) list -> unit
    val relearn :
      Proof.context -> bool -> (string * string list) list -> unit
    val query :
      Proof.context -> bool -> bool -> int
      -> string list * (string * real) list * string list -> string list
  end

  val mash_unlearn : Proof.context -> unit
  val nickname_of_thm : thm -> string
  val find_suggested_facts : ('b * thm) list -> string list -> ('b * thm) list
  val mesh_facts :
    ('a * 'a -> bool) -> int -> (real * (('a * real) list * 'a list)) list
    -> 'a list
  val theory_ord : theory * theory -> order
  val thm_ord : thm * thm -> order
  val goal_of_thm : theory -> thm -> thm
  val run_prover_for_mash :
    Proof.context -> params -> string -> fact list -> thm -> prover_result
  val features_of :
    Proof.context -> string -> theory -> stature -> term list
    -> (string * real) list
  val trim_dependencies : thm -> string list -> string list option
  val isar_dependencies_of :
    string Symtab.table * string Symtab.table -> thm -> string list
  val prover_dependencies_of :
    Proof.context -> params -> string -> int -> fact list
    -> string Symtab.table * string Symtab.table -> thm
    -> bool * string list
  val weight_mepo_facts : 'a list -> ('a * real) list
  val weight_mash_facts : 'a list -> ('a * real) list
  val find_mash_suggestions :
    int -> string list -> ('b * thm) list -> ('b * thm) list -> ('b * thm) list
    -> ('b * thm) list * ('b * thm) list
  val mash_suggested_facts :
    Proof.context -> params -> string -> int -> term list -> term -> fact list
    -> fact list * fact list
  val mash_learn_proof :
    Proof.context -> params -> string -> term -> ('a * thm) list -> thm list
    -> unit
  val mash_learn :
    Proof.context -> params -> fact_override -> thm list -> bool -> unit
  val is_mash_enabled : unit -> bool
  val mash_can_suggest_facts : Proof.context -> bool
  val generous_max_facts : int -> int
  val mepo_weight : real
  val mash_weight : real
  val relevant_facts :
    Proof.context -> params -> string -> int -> fact_override -> term list
    -> term -> fact list -> fact list
  val kill_learners : unit -> unit
  val running_learners : unit -> unit
end;

structure Sledgehammer_MaSh : SLEDGEHAMMER_MASH =
struct

open ATP_Util
open ATP_Problem_Generate
open Sledgehammer_Util
open Sledgehammer_Fact
open Sledgehammer_Provers
open Sledgehammer_Minimize
open Sledgehammer_MePo

val trace =
  Attrib.setup_config_bool @{binding sledgehammer_mash_trace} (K false)
fun trace_msg ctxt msg = if Config.get ctxt trace then tracing (msg ()) else ()

val MaShN = "MaSh"

val mepoN = "mepo"
val mashN = "mash"
val meshN = "mesh"

val fact_filters = [meshN, mepoN, mashN]

val unlearnN = "unlearn"
val learn_isarN = "learn_isar"
val learn_proverN = "learn_prover"
val relearn_isarN = "relearn_isar"
val relearn_proverN = "relearn_prover"

fun mash_model_dir () =
  Path.explode "$ISABELLE_HOME_USER/mash" |> tap Isabelle_System.mkdir
val mash_state_dir = mash_model_dir
fun mash_state_file () = Path.append (mash_state_dir ()) (Path.explode "state")


(*** Low-level communication with MaSh ***)

fun wipe_out_file file = (try (File.rm o Path.explode) file; ())

fun write_file banner (xs, f) path =
  (case banner of SOME s => File.write path s | NONE => ();
   xs |> chunk_list 500
      |> List.app (File.append path o space_implode "" o map f))
  handle IO.Io _ => ()

fun run_mash_tool ctxt overlord save max_suggs write_cmds read_suggs =
  let
    val (temp_dir, serial) =
      if overlord then (getenv "ISABELLE_HOME_USER", "")
      else (getenv "ISABELLE_TMP", serial_string ())
    val log_file = if overlord then temp_dir ^ "/mash_log" else "/dev/null"
    val err_file = temp_dir ^ "/mash_err" ^ serial
    val sugg_file = temp_dir ^ "/mash_suggs" ^ serial
    val sugg_path = Path.explode sugg_file
    val cmd_file = temp_dir ^ "/mash_commands" ^ serial
    val cmd_path = Path.explode cmd_file
    val core =
      "--inputFile " ^ cmd_file ^ " --predictions " ^ sugg_file ^
      " --numberOfPredictions " ^ string_of_int max_suggs ^
      (* " --learnTheories" ^ *) (if save then " --saveModel" else "")
    val command =
      "\"$ISABELLE_SLEDGEHAMMER_MASH/src/mash.py\" --quiet --outputDir " ^
      File.shell_path (mash_model_dir ()) ^ " --log " ^ log_file ^ " " ^ core ^
      " >& " ^ err_file
    fun run_on () =
      (Isabelle_System.bash command
       |> tap (fn _ => trace_msg ctxt (fn () =>
              case try File.read (Path.explode err_file) of
                NONE => "Done"
              | SOME "" => "Done"
              | SOME s => "Error: " ^ elide_string 1000 s));
       read_suggs (fn () => try File.read_lines sugg_path |> these))
    fun clean_up () =
      if overlord then ()
      else List.app wipe_out_file [err_file, sugg_file, cmd_file]
  in
    write_file (SOME "") ([], K "") sugg_path;
    write_file (SOME "") write_cmds cmd_path;
    trace_msg ctxt (fn () => "Running " ^ command);
    with_cleanup clean_up run_on ()
  end

fun meta_char c =
  if Char.isAlphaNum c orelse c = #"_" orelse c = #"." orelse c = #"(" orelse
     c = #")" orelse c = #"," then
    String.str c
  else
    (* fixed width, in case more digits follow *)
    "%" ^ stringN_of_int 3 (Char.ord c)

fun unmeta_chars accum [] = String.implode (rev accum)
  | unmeta_chars accum (#"%" :: d1 :: d2 :: d3 :: cs) =
    (case Int.fromString (String.implode [d1, d2, d3]) of
       SOME n => unmeta_chars (Char.chr n :: accum) cs
     | NONE => "" (* error *))
  | unmeta_chars _ (#"%" :: _) = "" (* error *)
  | unmeta_chars accum (c :: cs) = unmeta_chars (c :: accum) cs

val encode_str = String.translate meta_char
val encode_strs = map encode_str #> space_implode " "
val unencode_str = String.explode #> unmeta_chars []
val unencode_strs =
  space_explode " " #> filter_out (curry (op =) "") #> map unencode_str

fun freshish_name () =
  Date.fmt ".%Y%m%d_%H%M%S__" (Date.fromTimeLocal (Time.now ())) ^
  serial_string ()

fun encode_feature (name, weight) =
  encode_str name ^
  (if Real.== (weight, 1.0) then "" else "=" ^ Real.toString weight)

val encode_features = map encode_feature #> space_implode " "

fun str_of_learn (name, parents, feats, deps) =
  "! " ^ encode_str name ^ ": " ^ encode_strs parents ^ "; " ^
  encode_features feats ^ "; " ^ encode_strs deps ^ "\n"

fun str_of_relearn (name, deps) =
  "p " ^ encode_str name ^ ": " ^ encode_strs deps ^ "\n"

fun str_of_query learn_hints (parents, feats, hints) =
  (if not learn_hints orelse null hints then ""
   else str_of_learn (freshish_name (), parents, feats, hints)) ^
  "? " ^ encode_strs parents ^ "; " ^ encode_features feats ^
  (if learn_hints orelse null hints then "" else "; " ^ encode_strs hints) ^
  "\n"

(* The weights currently returned by "mash.py" are too spaced out to make any
   sense. *)
fun extract_suggestion sugg =
  case space_explode "=" sugg of
    [name, weight] =>
    SOME (unencode_str name (* , Real.fromString weight |> the_default 1.0 *))
  | [name] => SOME (unencode_str name (* , 1.0 *))
  | _ => NONE

fun extract_suggestions line =
  case space_explode ":" line of
    [goal, suggs] =>
    (unencode_str goal, map_filter extract_suggestion (space_explode " " suggs))
  | _ => ("", [])

structure MaSh =
struct

fun unlearn ctxt =
  let val path = mash_model_dir () in
    trace_msg ctxt (K "MaSh unlearn");
    try (File.fold_dir (fn file => fn _ =>
                           try File.rm (Path.append path (Path.basic file)))
                       path) NONE;
    ()
  end

fun learn _ _ [] = ()
  | learn ctxt overlord learns =
    (trace_msg ctxt (fn () => "MaSh learn " ^
         elide_string 1000 (space_implode " " (map #1 learns)));
     run_mash_tool ctxt overlord true 0 (learns, str_of_learn) (K ()))

fun relearn _ _ [] = ()
  | relearn ctxt overlord relearns =
    (trace_msg ctxt (fn () => "MaSh relearn " ^
         elide_string 1000 (space_implode " " (map #1 relearns)));
     run_mash_tool ctxt overlord true 0 (relearns, str_of_relearn) (K ()))

fun query ctxt overlord learn_hints max_suggs (query as (_, feats, hints)) =
  (trace_msg ctxt (fn () => "MaSh query " ^ encode_features feats);
   run_mash_tool ctxt overlord (learn_hints andalso not (null hints))
       max_suggs ([query], str_of_query learn_hints)
       (fn suggs =>
           case suggs () of
             [] => []
           | suggs => snd (extract_suggestions (List.last suggs)))
   handle List.Empty => [])

end;


(*** Middle-level communication with MaSh ***)

datatype proof_kind =
  Isar_Proof | Automatic_Proof | Isar_Proof_wegen_Prover_Flop

fun str_of_proof_kind Isar_Proof = "i"
  | str_of_proof_kind Automatic_Proof = "a"
  | str_of_proof_kind Isar_Proof_wegen_Prover_Flop = "x"

fun proof_kind_of_str "i" = Isar_Proof
  | proof_kind_of_str "a" = Automatic_Proof
  | proof_kind_of_str "x" = Isar_Proof_wegen_Prover_Flop

(* FIXME: Here a "Graph.update_node" function would be useful *)
fun update_access_graph_node (name, kind) =
  Graph.default_node (name, Isar_Proof)
  #> kind <> Isar_Proof ? Graph.map_node name (K kind)

fun try_graph ctxt when def f =
  f ()
  handle Graph.CYCLES (cycle :: _) =>
         (trace_msg ctxt (fn () =>
              "Cycle involving " ^ commas cycle ^ " when " ^ when); def)
       | Graph.DUP name =>
         (trace_msg ctxt (fn () =>
              "Duplicate fact " ^ quote name ^ " when " ^ when); def)
       | Graph.UNDEF name =>
         (trace_msg ctxt (fn () =>
              "Unknown fact " ^ quote name ^ " when " ^ when); def)
       | exn =>
         if Exn.is_interrupt exn then
           reraise exn
         else
           (trace_msg ctxt (fn () =>
                "Internal error when " ^ when ^ ":\n" ^
                ML_Compiler.exn_message exn); def)

fun graph_info G =
  string_of_int (length (Graph.keys G)) ^ " node(s), " ^
  string_of_int (fold (Integer.add o length o snd) (Graph.dest G) 0) ^
  " edge(s), " ^
  string_of_int (length (Graph.minimals G)) ^ " minimal, " ^
  string_of_int (length (Graph.maximals G)) ^ " maximal"

type mash_state = {access_G : unit Graph.T, dirty : string list option}

val empty_state = {access_G = Graph.empty, dirty = SOME []}

local

val version = "*** MaSh version 20130113a ***"

exception Too_New of unit

fun extract_node line =
  case space_explode ":" line of
    [head, parents] =>
    (case space_explode " " head of
       [kind, name] =>
       SOME (unencode_str name, unencode_strs parents,
             try proof_kind_of_str kind |> the_default Isar_Proof)
     | _ => NONE)
  | _ => NONE

fun load _ (state as (true, _)) = state
  | load ctxt _ =
    let val path = mash_state_file () in
      (true,
       case try File.read_lines path of
         SOME (version' :: node_lines) =>
         let
           fun add_edge_to name parent =
             Graph.default_node (parent, Isar_Proof)
             #> Graph.add_edge (parent, name)
           fun add_node line =
             case extract_node line of
               NONE => I (* shouldn't happen *)
             | SOME (name, parents, kind) =>
               update_access_graph_node (name, kind)
               #> fold (add_edge_to name) parents
           val access_G =
             case string_ord (version', version) of
               EQUAL =>
               try_graph ctxt "loading state" Graph.empty (fn () =>
                   fold add_node node_lines Graph.empty)
             | LESS =>
               (MaSh.unlearn ctxt; Graph.empty) (* can't parse old file *)
             | GREATER => raise Too_New ()
         in
           trace_msg ctxt (fn () =>
               "Loaded fact graph (" ^ graph_info access_G ^ ")");
           {access_G = access_G, dirty = SOME []}
         end
       | _ => empty_state)
    end

fun save _ (state as {dirty = SOME [], ...}) = state
  | save ctxt {access_G, dirty} =
    let
      fun str_of_entry (name, parents, kind) =
        str_of_proof_kind kind ^ " " ^ encode_str name ^ ": " ^
        encode_strs parents ^ "\n"
      fun append_entry (name, (kind, (parents, _))) =
        cons (name, Graph.Keys.dest parents, kind)
      val (banner, entries) =
        case dirty of
          SOME names =>
          (NONE, fold (append_entry o Graph.get_entry access_G) names [])
        | NONE => (SOME (version ^ "\n"), Graph.fold append_entry access_G [])
    in
      write_file banner (entries, str_of_entry) (mash_state_file ());
      trace_msg ctxt (fn () =>
          "Saved fact graph (" ^ graph_info access_G ^
          (case dirty of
             SOME dirty =>
             "; " ^ string_of_int (length dirty) ^ " dirty fact(s)"
           | _ => "") ^  ")");
      {access_G = access_G, dirty = SOME []}
    end

val global_state =
  Synchronized.var "Sledgehammer_MaSh.global_state" (false, empty_state)

in

fun map_state ctxt f =
  Synchronized.change global_state (load ctxt ##> (f #> save ctxt))
  handle Too_New () => ()

fun peek_state ctxt f =
  Synchronized.change_result global_state
      (perhaps (try (load ctxt)) #> `snd #>> f)

fun clear_state ctxt =
  Synchronized.change global_state (fn _ =>
      (MaSh.unlearn ctxt; (* also removes the state file *)
       (true, empty_state)))

end

val mash_unlearn = clear_state


(*** Isabelle helpers ***)

val local_prefix = "local" ^ Long_Name.separator

fun elided_backquote_thm threshold th =
  elide_string threshold
    (backquote_thm (Proof_Context.init_global (Thm.theory_of_thm th)) th)

fun nickname_of_thm th =
  if Thm.has_name_hint th then
    let val hint = Thm.get_name_hint th in
      (* There must be a better way to detect local facts. *)
      case try (unprefix local_prefix) hint of
        SOME suf =>
        Context.theory_name (Thm.theory_of_thm th) ^ Long_Name.separator ^ suf ^
        Long_Name.separator ^ elided_backquote_thm 50 th
      | NONE => hint
    end
  else
    elided_backquote_thm 200 th

fun find_suggested_facts facts =
  let
    fun add_fact (fact as (_, th)) = Symtab.default (nickname_of_thm th, fact)
    val tab = fold add_fact facts Symtab.empty
  in map_filter (Symtab.lookup tab) end

fun scaled_avg [] = 0
  | scaled_avg xs =
    Real.ceil (100000000.0 * fold (curry (op +)) xs 0.0) div length xs

fun avg [] = 0.0
  | avg xs = fold (curry (op +)) xs 0.0 / Real.fromInt (length xs)

fun normalize_scores _ [] = []
  | normalize_scores max_facts xs =
    let val avg = avg (map snd (take max_facts xs)) in
      map (apsnd (curry Real.* (1.0 / avg))) xs
    end

fun mesh_facts _ max_facts [(_, (sels, unks))] =
    map fst (take max_facts sels) @ take (max_facts - length sels) unks
  | mesh_facts fact_eq max_facts mess =
    let
      val mess =
        mess |> map (apsnd (apfst (normalize_scores max_facts #> `length)))
      fun score_in fact (global_weight, ((sel_len, sels), unks)) =
        let
          fun score_at j =
            case try (nth sels) j of
              SOME (_, score) => SOME (global_weight * score)
            | NONE => NONE
        in
          case find_index (curry fact_eq fact o fst) sels of
            ~1 => (case find_index (curry fact_eq fact) unks of
                     ~1 => SOME 0.0
                   | _ => NONE)
          | rank => score_at rank
        end
      fun weight_of fact = mess |> map_filter (score_in fact) |> scaled_avg
      val facts =
        fold (union fact_eq o map fst o take max_facts o snd o fst o snd) mess
             []
    in
      facts |> map (`weight_of) |> sort (int_ord o swap o pairself fst)
            |> map snd |> take max_facts
    end

fun thy_feature_of s = ("y" ^ s, 8.0 (* FUDGE *))
fun const_feature_of s = ("c" ^ s, 32.0 (* FUDGE *))
fun free_feature_of s = ("f" ^ s, 40.0 (* FUDGE *))
fun type_feature_of s = ("t" ^ s, 4.0 (* FUDGE *))
fun class_feature_of s = ("s" ^ s, 1.0 (* FUDGE *))
fun status_feature_of status = (string_of_status status, 2.0 (* FUDGE *))
val local_feature = ("local", 8.0 (* FUDGE *))
val lams_feature = ("lams", 2.0 (* FUDGE *))
val skos_feature = ("skos", 2.0 (* FUDGE *))

fun theory_ord p =
  if Theory.subthy p then
    if Theory.eq_thy p then EQUAL else LESS
  else if Theory.subthy (swap p) then
    GREATER
  else case int_ord (pairself (length o Theory.ancestors_of) p) of
    EQUAL => string_ord (pairself Context.theory_name p)
  | order => order

fun thm_ord p =
  case theory_ord (pairself theory_of_thm p) of
    EQUAL =>
    let val q = pairself nickname_of_thm p in
      (* Hack to put "xxx_def" before "xxxI" and "xxxE" *)
      case bool_ord (pairself (String.isSuffix "_def") (swap q)) of
        EQUAL => string_ord q
      | ord => ord
    end
  | ord => ord

val freezeT = Type.legacy_freeze_type

fun freeze (t $ u) = freeze t $ freeze u
  | freeze (Abs (s, T, t)) = Abs (s, freezeT T, freeze t)
  | freeze (Var ((s, _), T)) = Free (s, freezeT T)
  | freeze (Const (s, T)) = Const (s, freezeT T)
  | freeze (Free (s, T)) = Free (s, freezeT T)
  | freeze t = t

fun goal_of_thm thy = prop_of #> freeze #> cterm_of thy #> Goal.init

fun run_prover_for_mash ctxt params prover facts goal =
  let
    val problem =
      {state = Proof.init ctxt, goal = goal, subgoal = 1, subgoal_count = 1,
       facts = facts |> map (apfst (apfst (fn name => name ())))
                     |> map Untranslated_Fact}
  in
    get_minimizing_isar_prover ctxt MaSh (K (K ())) prover params (K (K (K "")))
                               problem
  end

val bad_types = [@{type_name prop}, @{type_name bool}, @{type_name fun}]

val logical_consts =
  [@{const_name prop}, @{const_name Pure.conjunction}] @ atp_logical_consts

val max_pattern_breadth = 10

fun term_features_of ctxt prover thy_name term_max_depth type_max_depth ts =
  let
    val thy = Proof_Context.theory_of ctxt
    fun is_built_in (x as (s, _)) args =
      if member (op =) logical_consts s then (true, args)
      else is_built_in_const_for_prover ctxt prover x args
    val fixes = map snd (Variable.dest_fixes ctxt)
    val classes = Sign.classes_of thy
    fun add_classes @{sort type} = I
      | add_classes S =
        fold (`(Sorts.super_classes classes)
              #> swap #> op ::
              #> subtract (op =) @{sort type}
              #> map class_feature_of
              #> union (op = o pairself fst)) S
    fun do_add_type (Type (s, Ts)) =
        (not (member (op =) bad_types s)
         ? insert (op = o pairself fst) (type_feature_of s))
        #> fold do_add_type Ts
      | do_add_type (TFree (_, S)) = add_classes S
      | do_add_type (TVar (_, S)) = add_classes S
    fun add_type T = type_max_depth >= 0 ? do_add_type T
    fun patternify_term _ 0 _ = []
      | patternify_term args _ (Const (x as (s, _))) =
        if fst (is_built_in x args) then [] else [s]
      | patternify_term _ depth (Free (s, _)) =
        if depth = term_max_depth andalso member (op =) fixes s then
          [thy_name ^ Long_Name.separator ^ s]
        else
          []
      | patternify_term args depth (t $ u) =
        let
          val ps =
            take max_pattern_breadth (patternify_term (u :: args) depth t)
          val qs =
            take max_pattern_breadth ("" :: patternify_term [] (depth - 1) u)
        in map_product (fn p => fn "" => p | q => p ^ "(" ^ q ^ ")") ps qs end
      | patternify_term _ _ _ = []
    fun add_term_pattern feature_of =
      union (op = o pairself fst) o map feature_of oo patternify_term []
    fun add_term_patterns _ 0 _ = I
      | add_term_patterns feature_of depth t =
        add_term_pattern feature_of depth t
        #> add_term_patterns feature_of (depth - 1) t
    fun add_term feature_of = add_term_patterns feature_of term_max_depth
    fun add_patterns t =
      case strip_comb t of
        (Const (x as (_, T)), args) =>
        let val (built_in, args) = is_built_in x args in
          (not built_in ? add_term const_feature_of t)
          #> add_type T
          #> fold add_patterns args
        end
      | (head, args) =>
        (case head of
           Const (_, T) => add_term const_feature_of t #> add_type T
         | Free (_, T) => add_term free_feature_of t #> add_type T
         | Var (_, T) => add_type T
         | Abs (_, T, body) => add_type T #> add_patterns body
         | _ => I)
        #> fold add_patterns args
  in [] |> fold add_patterns ts end

fun is_exists (s, _) = (s = @{const_name Ex} orelse s = @{const_name Ex1})

val term_max_depth = 2
val type_max_depth = 2

(* TODO: Generate type classes for types? *)
fun features_of ctxt prover thy (scope, status) ts =
  let val thy_name = Context.theory_name thy in
    thy_feature_of thy_name ::
    term_features_of ctxt prover thy_name term_max_depth type_max_depth ts
    |> status <> General ? cons (status_feature_of status)
    |> scope <> Global ? cons local_feature
    |> exists (not o is_lambda_free) ts ? cons lams_feature
    |> exists (exists_Const is_exists) ts ? cons skos_feature
  end

(* Too many dependencies is a sign that a decision procedure is at work. There
   isn't much to learn from such proofs. *)
val max_dependencies = 20

val prover_dependency_default_max_facts = 50

(* "type_definition_xxx" facts are characterized by their use of "CollectI". *)
val typedef_dep = nickname_of_thm @{thm CollectI}
(* Mysterious parts of the class machinery create lots of proofs that refer
   exclusively to "someI_e" (and to some internal constructions). *)
val class_some_dep = nickname_of_thm @{thm someI_ex}

val fundef_ths =
  @{thms fundef_ex1_existence fundef_ex1_uniqueness fundef_ex1_iff
         fundef_default_value}
  |> map nickname_of_thm

(* "Rep_xxx_inject", "Abs_xxx_inverse", etc., are derived using these facts. *)
val typedef_ths =
  @{thms type_definition.Abs_inverse type_definition.Rep_inverse
         type_definition.Rep type_definition.Rep_inject
         type_definition.Abs_inject type_definition.Rep_cases
         type_definition.Abs_cases type_definition.Rep_induct
         type_definition.Abs_induct type_definition.Rep_range
         type_definition.Abs_image}
  |> map nickname_of_thm

fun is_size_def [dep] th =
    (case first_field ".recs" dep of
       SOME (pref, _) =>
       (case first_field ".size" (nickname_of_thm th) of
          SOME (pref', _) => pref = pref'
        | NONE => false)
     | NONE => false)
  | is_size_def _ _ = false

fun trim_dependencies th deps =
  if length deps > max_dependencies then NONE else SOME deps

fun isar_dependencies_of name_tabs th =
  let
    val deps = thms_in_proof (SOME name_tabs) th
  in
    if deps = [typedef_dep] orelse
       deps = [class_some_dep] orelse
       exists (member (op =) fundef_ths) deps orelse
       exists (member (op =) typedef_ths) deps orelse
       is_size_def deps th then
      []
    else
      deps
  end

fun prover_dependencies_of ctxt (params as {verbose, max_facts, ...}) prover
                           auto_level facts name_tabs th =
  case isar_dependencies_of name_tabs th of
    [] => (false, [])
  | isar_deps =>
    let
      val thy = Proof_Context.theory_of ctxt
      val goal = goal_of_thm thy th
      val (_, hyp_ts, concl_t) = ATP_Util.strip_subgoal ctxt goal 1
      val facts = facts |> filter (fn (_, th') => thm_ord (th', th) = LESS)
      fun nickify ((_, stature), th) =
        ((fn () => nickname_of_thm th, stature), th)
      fun is_dep dep (_, th) = nickname_of_thm th = dep
      fun add_isar_dep facts dep accum =
        if exists (is_dep dep) accum then
          accum
        else case find_first (is_dep dep) facts of
          SOME ((name, status), th) => accum @ [((name, status), th)]
        | NONE => accum (* shouldn't happen *)
      val facts =
        facts
        |> mepo_suggested_facts ctxt params prover
               (max_facts |> the_default prover_dependency_default_max_facts)
               NONE hyp_ts concl_t
        |> fold (add_isar_dep facts) isar_deps
        |> map nickify
    in
      if verbose andalso auto_level = 0 then
        let val num_facts = length facts in
          "MaSh: " ^ quote prover ^ " on " ^ quote (nickname_of_thm th) ^
          " with " ^ string_of_int num_facts ^ " fact" ^ plural_s num_facts ^
          "."
          |> Output.urgent_message
        end
      else
        ();
      case run_prover_for_mash ctxt params prover facts goal of
        {outcome = NONE, used_facts, ...} =>
        (if verbose andalso auto_level = 0 then
           let val num_facts = length used_facts in
             "Found proof with " ^ string_of_int num_facts ^ " fact" ^
             plural_s num_facts ^ "."
             |> Output.urgent_message
           end
         else
           ();
         (true, map fst used_facts))
      | _ => (false, isar_deps)
    end


(*** High-level communication with MaSh ***)

fun num_keys keys = Graph.Keys.fold (K (Integer.add 1)) keys 0

fun maximal_in_graph access_G facts =
  let
    val facts = [] |> fold (cons o nickname_of_thm o snd) facts
    val tab = Symtab.empty |> fold (fn name => Symtab.default (name, ())) facts
    fun insert_new seen name =
      not (Symtab.defined seen name) ? insert (op =) name
    fun find_maxes _ (maxs, []) = map snd maxs
      | find_maxes seen (maxs, new :: news) =
        find_maxes
            (seen |> num_keys (Graph.imm_succs access_G new) > 1
                     ? Symtab.default (new, ()))
            (if Symtab.defined tab new then
               let
                 val newp = Graph.all_preds access_G [new]
                 fun is_ancestor x yp = member (op =) yp x
                 val maxs =
                   maxs |> filter (fn (_, max) => not (is_ancestor max newp))
               in
                 if exists (is_ancestor new o fst) maxs then
                   (maxs, news)
                 else
                   ((newp, new)
                    :: filter_out (fn (_, max) => is_ancestor max newp) maxs,
                    news)
               end
             else
               (maxs, Graph.Keys.fold (insert_new seen)
                                      (Graph.imm_preds access_G new) news))
  in find_maxes Symtab.empty ([], Graph.maximals access_G) end

fun is_fact_in_graph access_G get_th fact =
  can (Graph.get_node access_G) (nickname_of_thm (get_th fact))

(* FUDGE *)
fun weight_of_mepo_fact rank =
  Math.pow (0.62, log2 (Real.fromInt (rank + 1)))

fun weight_mepo_facts facts =
  facts ~~ map weight_of_mepo_fact (0 upto length facts - 1)

val weight_raw_mash_facts = weight_mepo_facts
val weight_mash_facts = weight_raw_mash_facts

(* FUDGE *)
fun weight_of_proximity_fact rank =
  Math.pow (1.3, 15.5 - 0.2 * Real.fromInt rank) + 15.0

fun weight_proximity_facts facts =
  facts ~~ map weight_of_proximity_fact (0 upto length facts - 1)

val max_proximity_facts = 100

fun find_mash_suggestions _ [] _ _ raw_unknown = ([], raw_unknown)
  | find_mash_suggestions max_facts suggs facts chained raw_unknown =
    let
      val raw_mash = find_suggested_facts facts suggs
      val unknown_chained =
        inter (Thm.eq_thm_prop o pairself snd) chained raw_unknown
      val proximity =
        facts |> sort (thm_ord o pairself snd o swap)
              |> take max_proximity_facts
      val mess =
        [(0.90 (* FUDGE *), (map (rpair 1.0) unknown_chained, [])),
         (0.08 (* FUDGE *), (weight_raw_mash_facts raw_mash, raw_unknown)),
         (0.02 (* FUDGE *), (weight_proximity_facts proximity, []))]
      val unknown =
        raw_unknown
        |> fold (subtract (Thm.eq_thm_prop o pairself snd))
                [unknown_chained, proximity]
    in (mesh_facts (Thm.eq_thm_prop o pairself snd) max_facts mess, unknown) end

fun mash_suggested_facts ctxt ({overlord, learn, ...} : params) prover max_facts
                         hyp_ts concl_t facts =
  let
    val thy = Proof_Context.theory_of ctxt
    val chained = facts |> filter (fn ((_, (scope, _)), _) => scope = Chained)
    val (access_G, suggs) =
      peek_state ctxt (fn {access_G, ...} =>
          if Graph.is_empty access_G then
            (access_G, [])
          else
            let
              val parents = maximal_in_graph access_G facts
              val feats =
                features_of ctxt prover thy (Local, General) (concl_t :: hyp_ts)
              val hints =
                chained |> filter (is_fact_in_graph access_G snd)
                        |> map (nickname_of_thm o snd)
            in
              (access_G, MaSh.query ctxt overlord learn max_facts
                                    (parents, feats, hints))
            end)
    val unknown = facts |> filter_out (is_fact_in_graph access_G snd)
  in find_mash_suggestions max_facts suggs facts chained unknown end

fun learn_wrt_access_graph ctxt (name, parents, feats, deps) (learns, graph) =
  let
    fun maybe_learn_from from (accum as (parents, graph)) =
      try_graph ctxt "updating graph" accum (fn () =>
          (from :: parents, Graph.add_edge_acyclic (from, name) graph))
    val graph = graph |> Graph.default_node (name, Isar_Proof)
    val (parents, graph) = ([], graph) |> fold maybe_learn_from parents
    val (deps, _) = ([], graph) |> fold maybe_learn_from deps
  in ((name, parents, feats, deps) :: learns, graph) end

fun relearn_wrt_access_graph ctxt (name, deps) (relearns, graph) =
  let
    fun maybe_relearn_from from (accum as (parents, graph)) =
      try_graph ctxt "updating graph" accum (fn () =>
          (from :: parents, Graph.add_edge_acyclic (from, name) graph))
    val graph = graph |> update_access_graph_node (name, Automatic_Proof)
    val (deps, _) = ([], graph) |> fold maybe_relearn_from deps
  in ((name, deps) :: relearns, graph) end

fun flop_wrt_access_graph name =
  update_access_graph_node (name, Isar_Proof_wegen_Prover_Flop)

val learn_timeout_slack = 2.0

fun launch_thread timeout task =
  let
    val hard_timeout = time_mult learn_timeout_slack timeout
    val birth_time = Time.now ()
    val death_time = Time.+ (birth_time, hard_timeout)
    val desc = ("Machine learner for Sledgehammer", "")
  in Async_Manager.launch MaShN birth_time death_time desc task end

fun mash_learn_proof ctxt ({overlord, timeout, ...} : params) prover t facts
                     used_ths =
  launch_thread (timeout |> the_default one_day) (fn () =>
      let
        val thy = Proof_Context.theory_of ctxt
        val name = freshish_name ()
        val feats = features_of ctxt prover thy (Local, General) [t]
      in
        peek_state ctxt (fn {access_G, ...} =>
            let
              val parents = maximal_in_graph access_G facts
              val deps =
                used_ths |> filter (is_fact_in_graph access_G I)
                         |> map nickname_of_thm
            in
              MaSh.learn ctxt overlord [(name, parents, feats, deps)]
            end);
        (true, "")
      end)

fun sendback sub = Active.sendback_markup (sledgehammerN ^ " " ^ sub)

val commit_timeout = seconds 30.0

(* The timeout is understood in a very relaxed fashion. *)
fun mash_learn_facts ctxt (params as {debug, verbose, overlord, ...}) prover
                     auto_level run_prover learn_timeout facts =
  let
    val timer = Timer.startRealTimer ()
    fun next_commit_time () =
      Time.+ (Timer.checkRealTimer timer, commit_timeout)
    val {access_G, ...} = peek_state ctxt I
    val facts = facts |> sort (thm_ord o pairself snd)
    val (old_facts, new_facts) =
      facts |> List.partition (is_fact_in_graph access_G snd)
  in
    if null new_facts andalso (not run_prover orelse null old_facts) then
      if auto_level < 2 then
        "No new " ^ (if run_prover then "automatic" else "Isar") ^
        " proofs to learn." ^
        (if auto_level = 0 andalso not run_prover then
           "\n\nHint: Try " ^ sendback learn_proverN ^
           " to learn from an automatic prover."
         else
           "")
      else
        ""
    else
      let
        val name_tabs = build_name_tables nickname_of_thm facts
        fun deps_of status th =
          if status = Non_Rec_Def orelse status = Rec_Def then
            SOME []
          else if run_prover then
            prover_dependencies_of ctxt params prover auto_level facts name_tabs
                                   th
            |> (fn (false, _) => NONE
                 | (true, deps) => trim_dependencies th deps)
          else
            isar_dependencies_of name_tabs th
            |> trim_dependencies th
        fun do_commit [] [] [] state = state
          | do_commit learns relearns flops {access_G, dirty} =
            let
              val was_empty = Graph.is_empty access_G
              val (learns, access_G) =
                ([], access_G) |> fold (learn_wrt_access_graph ctxt) learns
              val (relearns, access_G) =
                ([], access_G) |> fold (relearn_wrt_access_graph ctxt) relearns
              val access_G = access_G |> fold flop_wrt_access_graph flops
              val dirty =
                case (was_empty, dirty, relearns) of
                  (false, SOME names, []) => SOME (map #1 learns @ names)
                | _ => NONE
            in
              MaSh.learn ctxt overlord (rev learns);
              MaSh.relearn ctxt overlord relearns;
              {access_G = access_G, dirty = dirty}
            end
        fun commit last learns relearns flops =
          (if debug andalso auto_level = 0 then
             Output.urgent_message "Committing..."
           else
             ();
           map_state ctxt (do_commit (rev learns) relearns flops);
           if not last andalso auto_level = 0 then
             let val num_proofs = length learns + length relearns in
               "Learned " ^ string_of_int num_proofs ^ " " ^
               (if run_prover then "automatic" else "Isar") ^ " proof" ^
               plural_s num_proofs ^ " in the last " ^
               string_from_time commit_timeout ^ "."
               |> Output.urgent_message
             end
           else
             ())
        fun learn_new_fact _ (accum as (_, (_, _, _, true))) = accum
          | learn_new_fact ((_, stature as (_, status)), th)
                           (learns, (parents, n, next_commit, _)) =
            let
              val name = nickname_of_thm th
              val feats =
                features_of ctxt prover (theory_of_thm th) stature [prop_of th]
              val deps = deps_of status th |> these
              val n = n |> not (null deps) ? Integer.add 1
              val learns = (name, parents, feats, deps) :: learns
              val (learns, next_commit) =
                if Time.> (Timer.checkRealTimer timer, next_commit) then
                  (commit false learns [] []; ([], next_commit_time ()))
                else
                  (learns, next_commit)
              val timed_out =
                case learn_timeout of
                  SOME timeout => Time.> (Timer.checkRealTimer timer, timeout)
                | NONE => false
            in (learns, ([name], n, next_commit, timed_out)) end
        val n =
          if null new_facts then
            0
          else
            let
              val last_th = new_facts |> List.last |> snd
              (* crude approximation *)
              val ancestors =
                old_facts
                |> filter (fn (_, th) => thm_ord (th, last_th) <> GREATER)
              val parents = maximal_in_graph access_G ancestors
              val (learns, (_, n, _, _)) =
                ([], (parents, 0, next_commit_time (), false))
                |> fold learn_new_fact new_facts
            in commit true learns [] []; n end
        fun relearn_old_fact _ (accum as (_, (_, _, true))) = accum
          | relearn_old_fact ((_, (_, status)), th)
                             ((relearns, flops), (n, next_commit, _)) =
            let
              val name = nickname_of_thm th
              val (n, relearns, flops) =
                case deps_of status th of
                  SOME deps => (n + 1, (name, deps) :: relearns, flops)
                | NONE => (n, relearns, name :: flops)
              val (relearns, flops, next_commit) =
                if Time.> (Timer.checkRealTimer timer, next_commit) then
                  (commit false [] relearns flops;
                   ([], [], next_commit_time ()))
                else
                  (relearns, flops, next_commit)
              val timed_out =
                case learn_timeout of
                  SOME timeout => Time.> (Timer.checkRealTimer timer, timeout)
                | NONE => false
            in ((relearns, flops), (n, next_commit, timed_out)) end
        val n =
          if not run_prover orelse null old_facts then
            n
          else
            let
              val max_isar = 1000 * max_dependencies
              fun kind_of_proof th =
                try (Graph.get_node access_G) (nickname_of_thm th)
                |> the_default Isar_Proof
              fun priority_of (_, th) =
                random_range 0 max_isar
                + (case kind_of_proof th of
                     Isar_Proof => 0
                   | Automatic_Proof => 2 * max_isar
                   | Isar_Proof_wegen_Prover_Flop => max_isar)
                - 500 * length (isar_dependencies_of name_tabs th)
              val old_facts =
                old_facts |> map (`priority_of)
                          |> sort (int_ord o pairself fst)
                          |> map snd
              val ((relearns, flops), (n, _, _)) =
                (([], []), (n, next_commit_time (), false))
                |> fold relearn_old_fact old_facts
            in commit true [] relearns flops; n end
      in
        if verbose orelse auto_level < 2 then
          "Learned " ^ string_of_int n ^ " nontrivial " ^
          (if run_prover then "automatic" else "Isar") ^ " proof" ^ plural_s n ^
          (if verbose then
             " in " ^ string_from_time (Timer.checkRealTimer timer)
           else
             "") ^ "."
        else
          ""
      end
  end

fun mash_learn ctxt (params as {provers, timeout, ...}) fact_override chained
               run_prover =
  let
    val css = Sledgehammer_Fact.clasimpset_rule_table_of ctxt
    val ctxt = ctxt |> Config.put instantiate_inducts false
    val facts =
      nearly_all_facts ctxt false fact_override Symtab.empty css chained []
                       @{prop True}
    val num_facts = length facts
    val prover = hd provers
    fun learn auto_level run_prover =
      mash_learn_facts ctxt params prover auto_level run_prover NONE facts
      |> Output.urgent_message
  in
    if run_prover then
      ("MaShing through " ^ string_of_int num_facts ^ " fact" ^
       plural_s num_facts ^ " for automatic proofs (" ^ quote prover ^
       (case timeout of
          SOME timeout => " timeout: " ^ string_from_time timeout
        | NONE => "") ^ ").\n\nCollecting Isar proofs first..."
       |> Output.urgent_message;
       learn 1 false;
       "Now collecting automatic proofs. This may take several hours. You can \
       \safely stop the learning process at any point."
       |> Output.urgent_message;
       learn 0 true)
    else
      ("MaShing through " ^ string_of_int num_facts ^ " fact" ^
       plural_s num_facts ^ " for Isar proofs..."
       |> Output.urgent_message;
       learn 0 false)
  end

fun is_mash_enabled () = (getenv "MASH" = "yes")
fun mash_can_suggest_facts ctxt =
  not (Graph.is_empty (#access_G (peek_state ctxt I)))

(* Generate more suggestions than requested, because some might be thrown out
   later for various reasons. *)
fun generous_max_facts max_facts = max_facts + Int.min (50, max_facts)

val mepo_weight = 0.5
val mash_weight = 0.5

(* The threshold should be large enough so that MaSh doesn't kick in for Auto
   Sledgehammer and Try. *)
val min_secs_for_learning = 15

fun relevant_facts ctxt (params as {learn, fact_filter, timeout, ...}) prover
        max_facts ({add, only, ...} : fact_override) hyp_ts concl_t facts =
  if not (subset (op =) (the_list fact_filter, fact_filters)) then
    error ("Unknown fact filter: " ^ quote (the fact_filter) ^ ".")
  else if only then
    facts
  else if max_facts <= 0 orelse null facts then
    []
  else
    let
      fun maybe_learn () =
        if learn andalso not (Async_Manager.has_running_threads MaShN) andalso
           (timeout = NONE orelse
            Time.toSeconds (the timeout) >= min_secs_for_learning) then
          let
            val timeout = Option.map (time_mult learn_timeout_slack) timeout
          in
            launch_thread (timeout |> the_default one_day)
                (fn () => (true, mash_learn_facts ctxt params prover 2 false
                                                  timeout facts))
          end
        else
          ()
      val fact_filter =
        case fact_filter of
          SOME ff => (() |> ff <> mepoN ? maybe_learn; ff)
        | NONE =>
          if is_smt_prover ctxt prover then
            mepoN
          else if is_mash_enabled () then
            (maybe_learn ();
             if mash_can_suggest_facts ctxt then meshN else mepoN)
          else
            mepoN
      val add_ths = Attrib.eval_thms ctxt add
      fun prepend_facts ths accepts =
        ((facts |> filter (member Thm.eq_thm_prop ths o snd)) @
         (accepts |> filter_out (member Thm.eq_thm_prop ths o snd)))
        |> take max_facts
      fun mepo () =
        mepo_suggested_facts ctxt params prover max_facts NONE hyp_ts concl_t
                             facts
        |> weight_mepo_facts
      fun mash () =
        mash_suggested_facts ctxt params prover (generous_max_facts max_facts)
            hyp_ts concl_t facts
        |>> weight_mash_facts
      val mess =
        [] |> (if fact_filter <> mashN then cons (mepo_weight, (mepo (), []))
               else I)
           |> (if fact_filter <> mepoN then cons (mash_weight, (mash ()))
               else I)
    in
      mesh_facts (Thm.eq_thm_prop o pairself snd) max_facts mess
      |> not (null add_ths) ? prepend_facts add_ths
    end

fun kill_learners () = Async_Manager.kill_threads MaShN "learner"
fun running_learners () = Async_Manager.running_threads MaShN "learner"

end;