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Source file jib_ssa.ml

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(****************************************************************************)
(*     Sail                                                                 *)
(*                                                                          *)
(*  Sail and the Sail architecture models here, comprising all files and    *)
(*  directories except the ASL-derived Sail code in the aarch64 directory,  *)
(*  are subject to the BSD two-clause licence below.                        *)
(*                                                                          *)
(*  The ASL derived parts of the ARMv8.3 specification in                   *)
(*  aarch64/no_vector and aarch64/full are copyright ARM Ltd.               *)
(*                                                                          *)
(*  Copyright (c) 2013-2021                                                 *)
(*    Kathyrn Gray                                                          *)
(*    Shaked Flur                                                           *)
(*    Stephen Kell                                                          *)
(*    Gabriel Kerneis                                                       *)
(*    Robert Norton-Wright                                                  *)
(*    Christopher Pulte                                                     *)
(*    Peter Sewell                                                          *)
(*    Alasdair Armstrong                                                    *)
(*    Brian Campbell                                                        *)
(*    Thomas Bauereiss                                                      *)
(*    Anthony Fox                                                           *)
(*    Jon French                                                            *)
(*    Dominic Mulligan                                                      *)
(*    Stephen Kell                                                          *)
(*    Mark Wassell                                                          *)
(*    Alastair Reid (Arm Ltd)                                               *)
(*                                                                          *)
(*  All rights reserved.                                                    *)
(*                                                                          *)
(*  This work was partially supported by EPSRC grant EP/K008528/1 <a        *)
(*  href="http://www.cl.cam.ac.uk/users/pes20/rems">REMS: Rigorous          *)
(*  Engineering for Mainstream Systems</a>, an ARM iCASE award, EPSRC IAA   *)
(*  KTF funding, and donations from Arm.  This project has received         *)
(*  funding from the European Research Council (ERC) under the European     *)
(*  Union’s Horizon 2020 research and innovation programme (grant           *)
(*  agreement No 789108, ELVER).                                            *)
(*                                                                          *)
(*  This software was developed by SRI International and the University of  *)
(*  Cambridge Computer Laboratory (Department of Computer Science and       *)
(*  Technology) under DARPA/AFRL contracts FA8650-18-C-7809 ("CIFV")        *)
(*  and FA8750-10-C-0237 ("CTSRD").                                         *)
(*                                                                          *)
(*  Redistribution and use in source and binary forms, with or without      *)
(*  modification, are permitted provided that the following conditions      *)
(*  are met:                                                                *)
(*  1. Redistributions of source code must retain the above copyright       *)
(*     notice, this list of conditions and the following disclaimer.        *)
(*  2. Redistributions in binary form must reproduce the above copyright    *)
(*     notice, this list of conditions and the following disclaimer in      *)
(*     the documentation and/or other materials provided with the           *)
(*     distribution.                                                        *)
(*                                                                          *)
(*  THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS''      *)
(*  AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED       *)
(*  TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A         *)
(*  PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE AUTHOR OR     *)
(*  CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,            *)
(*  SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT        *)
(*  LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF        *)
(*  USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND     *)
(*  ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,      *)
(*  OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT      *)
(*  OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF      *)
(*  SUCH DAMAGE.                                                            *)
(****************************************************************************)

open Ast_util
open Jib
open Jib_util

module IntSet = Util.IntSet
module IntMap = Map.Make (struct
  type t = int
  let compare = compare
end)

let ssa_name i = function
  | Name (id, _) -> Name (id, i)
  | Have_exception _ -> Have_exception i
  | Current_exception _ -> Current_exception i
  | Throw_location _ -> Throw_location i
  | Channel (c, _) -> Channel (c, i)
  | Return _ -> Return i

let unssa_name = function
  | Name (id, n) -> (Name (id, -1), n)
  | Have_exception n -> (Have_exception (-1), n)
  | Current_exception n -> (Current_exception (-1), n)
  | Throw_location n -> (Throw_location (-1), n)
  | Channel (c, n) -> (Channel (c, -1), n)
  | Return n -> (Return (-1), n)

(**************************************************************************)
(* 1. Mutable graph type                                                  *)
(**************************************************************************)

type 'a array_graph = {
  mutable next : int;
  mutable nodes : ('a * IntSet.t * IntSet.t) option array;
  mutable next_cond : int;
  mutable conds : cval IntMap.t;
}

let make ~initial_size () = { next = 0; nodes = Array.make initial_size None; next_cond = 1; conds = IntMap.empty }

let get_cond graph n = if n >= 0 then IntMap.find n graph.conds else V_call (Bnot, [IntMap.find (abs n) graph.conds])

let get_vertex graph n = graph.nodes.(n)

let iter_graph f graph =
  for n = 0 to graph.next - 1 do
    match graph.nodes.(n) with Some (x, y, z) -> f x y z | None -> ()
  done

let add_cond cval graph =
  let n = graph.next_cond in
  graph.conds <- IntMap.add n cval graph.conds;
  graph.next_cond <- n + 1;
  n

(** Add a vertex to a graph, returning the node index *)
let add_vertex data graph =
  let n = graph.next in
  if n >= Array.length graph.nodes then begin
    let new_nodes = Array.make (Array.length graph.nodes * 2) None in
    Array.blit graph.nodes 0 new_nodes 0 (Array.length graph.nodes);
    graph.nodes <- new_nodes
  end;
  graph.nodes.(n) <- Some (data, IntSet.empty, IntSet.empty);
  graph.next <- n + 1;
  n

(** Add an edge between two existing vertices. Raises Invalid_argument
   if either of the vertices do not exist. *)
let add_edge n m graph =
  begin
    match graph.nodes.(n) with
    | Some (data, parents, children) -> graph.nodes.(n) <- Some (data, parents, IntSet.add m children)
    | None -> raise (Invalid_argument "Parent node does not exist in graph")
  end;
  match graph.nodes.(m) with
  | Some (data, parents, children) -> graph.nodes.(m) <- Some (data, IntSet.add n parents, children)
  | None -> raise (Invalid_argument "Child node does not exist in graph")

let cardinal graph = graph.next

let reachable roots graph =
  let visited = ref IntSet.empty in

  let rec reachable' n =
    if IntSet.mem n !visited then ()
    else begin
      visited := IntSet.add n !visited;
      match graph.nodes.(n) with Some (_, _, successors) -> IntSet.iter reachable' successors | None -> ()
    end
  in
  IntSet.iter reachable' roots;
  !visited

exception Not_a_DAG of int

let topsort graph =
  let marked = ref IntSet.empty in
  let temp_marked = ref IntSet.empty in
  let list = ref [] in

  let rec visit node =
    if IntSet.mem node !temp_marked then raise (Not_a_DAG node)
    else if IntSet.mem node !marked then ()
    else begin
      match get_vertex graph node with
      | None -> failwith "Node does not exist in topsort"
      | Some (_, _, succs) ->
          temp_marked := IntSet.add node !temp_marked;
          IntSet.iter visit succs;
          marked := IntSet.add node !marked;
          temp_marked := IntSet.remove node !temp_marked;
          list := node :: !list
    end
  in

  let find_unmarked () =
    let unmarked = ref (-1) in
    let i = ref 0 in
    while !unmarked = -1 && !i < Array.length graph.nodes do
      begin
        match get_vertex graph !i with None -> () | Some _ -> if not (IntSet.mem !i !marked) then unmarked := !i
      end;
      incr i
    done;
    !unmarked
  in

  let rec topsort' () =
    let unmarked = find_unmarked () in
    if unmarked = -1 then ()
    else (
      visit unmarked;
      topsort' ()
    )
  in
  topsort' ();
  !list

let prune visited graph =
  for i = 0 to graph.next - 1 do
    match graph.nodes.(i) with
    | Some (n, preds, succs) ->
        if IntSet.mem i visited then graph.nodes.(i) <- Some (n, IntSet.inter visited preds, IntSet.inter visited succs)
        else graph.nodes.(i) <- None
    | None -> ()
  done

(**************************************************************************)
(* 2. Mutable control flow graph                                          *)
(**************************************************************************)

type terminator =
  | T_undefined of ctyp
  | T_exit of string
  | T_end of name
  | T_goto of string
  | T_jump of int * string
  | T_label of string
  | T_none

type cf_node =
  | CF_label of string
  | CF_block of instr list * terminator
  | CF_guard of int
  | CF_start of ctyp NameMap.t
  | CF_end

let to_terminator graph = function
  | I_label label -> T_label label
  | I_goto label -> T_goto label
  | I_jump (cval, label) ->
      let n = add_cond cval graph in
      T_jump (n, label)
  | I_end name -> T_end name
  | I_exit cause -> T_exit cause
  | I_undefined ctyp -> T_undefined ctyp
  | _ -> assert false

(* For now we only generate CFGs for flat lists of instructions *)
let control_flow_graph instrs =
  let module StringMap = Map.Make (String) in
  let labels = ref StringMap.empty in

  let graph = make ~initial_size:512 () in

  iter_instr
    (fun (I_aux (instr, annot)) ->
      match instr with
      | I_label label -> labels := StringMap.add label (add_vertex ([], CF_label label) graph) !labels
      | _ -> ()
    )
    (iblock instrs);

  let cf_split (I_aux (aux, _)) =
    match aux with I_label _ | I_goto _ | I_jump _ | I_end _ | I_exit _ | I_undefined _ -> true | _ -> false
  in

  let start = add_vertex ([], CF_start NameMap.empty) graph in
  let finish = add_vertex ([], CF_end) graph in

  let rec cfg preds instrs =
    let before, after = instr_split_at cf_split instrs in
    let terminator, after =
      match after with I_aux (instr, _) :: after -> (to_terminator graph instr, after) | [] -> (T_none, [])
    in
    let preds =
      match (before, terminator) with
      | [], (T_none | T_label _) -> preds
      | instrs, _ ->
          let n = add_vertex ([], CF_block (instrs, terminator)) graph in
          List.iter (fun p -> add_edge p n graph) preds;
          [n]
    in
    match terminator with
    | T_end _ | T_exit _ | T_undefined _ ->
        List.iter (fun p -> add_edge p finish graph) preds;
        cfg [] after
    | T_goto label ->
        List.iter (fun p -> add_edge p (StringMap.find label !labels) graph) preds;
        cfg [] after
    | T_jump (cond, label) ->
        let t = add_vertex ([], CF_guard cond) graph in
        let f = add_vertex ([], CF_guard (-cond)) graph in
        List.iter
          (fun p ->
            add_edge p t graph;
            add_edge p f graph
          )
          preds;
        add_edge t (StringMap.find label !labels) graph;
        cfg [f] after
    | T_label label -> cfg (StringMap.find label !labels :: preds) after
    | T_none -> preds
  in

  let _ = cfg [start] instrs in

  let visited = reachable (IntSet.singleton start) graph in
  prune visited graph;

  (start, finish, graph)

(**************************************************************************)
(* 3. Computing dominators                                                *)
(**************************************************************************)

(* If we are computing post-dominators rather than dominators, we
   swap the graph ordering. *)
let graph_order ~post predecessors successors = if post then (successors, predecessors) else (predecessors, successors)

(** Calculate the (immediate) dominators of a graph using the
   Lengauer-Tarjan algorithm. This is the slightly less sophisticated
   version from Appel's book 'Modern compiler implementation in ML'
   which runs in O(n log(n)) time.

   If the post flag is set this computes the post-dominators. *)
let immediate_dominators ?(post = false) graph root =
  let none = -1 in
  let vertex = Array.make (cardinal graph) 0 in
  let parent = Array.make (cardinal graph) none in
  let ancestor = Array.make (cardinal graph) none in
  let semi = Array.make (cardinal graph) none in
  let idom = Array.make (cardinal graph) none in
  let samedom = Array.make (cardinal graph) none in
  let best = Array.make (cardinal graph) none in
  let dfnum = Array.make (cardinal graph) (-1) in
  let bucket = Array.make (cardinal graph) IntSet.empty in

  let rec ancestor_with_lowest_semi v =
    let a = ancestor.(v) in
    if ancestor.(a) <> none then (
      let b = ancestor_with_lowest_semi a in
      ancestor.(v) <- ancestor.(a);
      if dfnum.(semi.(b)) < dfnum.(semi.(best.(v))) then best.(v) <- b else ()
    )
    else ();
    if best.(v) <> none then best.(v) else v
  in

  let link p n =
    ancestor.(n) <- p;
    best.(n) <- n
  in

  let count = ref 0 in

  let rec dfs p n =
    if dfnum.(n) = -1 then begin
      dfnum.(n) <- !count;
      vertex.(!count) <- n;
      parent.(n) <- p;
      incr count;
      match graph.nodes.(n) with
      | Some (_, predecessors, successors) ->
          let predecessors, successors = graph_order ~post predecessors successors in
          IntSet.iter (fun w -> dfs n w) successors
      | None -> assert false
    end
  in
  dfs none root;

  for i = !count - 1 downto 1 do
    let n = vertex.(i) in
    let p = parent.(n) in
    let s = ref p in

    begin
      match graph.nodes.(n) with
      | Some (_, predecessors, successors) ->
          let predecessors, successors = graph_order ~post predecessors successors in
          IntSet.iter
            (fun v ->
              let s' = if dfnum.(v) <= dfnum.(n) then v else semi.(ancestor_with_lowest_semi v) in
              if dfnum.(s') < dfnum.(!s) then s := s'
            )
            predecessors
      | None -> assert false
    end;
    semi.(n) <- !s;
    bucket.(!s) <- IntSet.add n bucket.(!s);
    link p n;
    IntSet.iter
      (fun v ->
        let y = ancestor_with_lowest_semi v in
        if semi.(y) = semi.(v) then idom.(v) <- p else samedom.(v) <- y
      )
      bucket.(p)
  done;
  for i = 1 to !count - 1 do
    let n = vertex.(i) in
    if samedom.(n) <> none then idom.(n) <- idom.(samedom.(n))
  done;
  idom

(** [(dominator_children idoms).(n)] are the nodes whose immediate dominator
   (idom) is n. *)
let dominator_children idom =
  let none = -1 in
  let children = Array.make (Array.length idom) IntSet.empty in

  for n = 0 to Array.length idom - 1 do
    let p = idom.(n) in
    if p <> none then children.(p) <- IntSet.add n children.(p)
  done;
  children

(** [dominate idom n w] is true if n dominates w in the tree of
   immediate dominators idom. *)
let rec dominate idom n w =
  let none = -1 in
  let p = idom.(n) in
  if p = none then false else if p = w then true else dominate idom p w

let dominance_frontiers ?(post = false) graph root idom children =
  let df = Array.make (cardinal graph) IntSet.empty in

  let rec compute_df n =
    let set = ref IntSet.empty in

    begin
      match graph.nodes.(n) with
      | Some (content, predecessors, successors) ->
          let predecessors, successors = graph_order ~post predecessors successors in
          IntSet.iter (fun y -> if idom.(y) <> n then set := IntSet.add y !set) successors
      | None -> ()
    end;
    IntSet.iter
      (fun c ->
        compute_df c;
        IntSet.iter (fun w -> if not (dominate idom n w) then set := IntSet.add w !set) df.(c)
      )
      children.(n);
    df.(n) <- !set
  in
  compute_df root;
  df

(**************************************************************************)
(* 4. Conversion to SSA form                                              *)
(**************************************************************************)

type ssa_elem = Phi of Jib.name * Jib.ctyp * Jib.name list | Pi of Jib.cval list

let place_phi_functions graph df =
  let defsites = ref NameCTMap.empty in

  let all_vars = ref NameCTSet.empty in

  let rec all_decls = function
    | I_aux ((I_init (ctyp, id, _) | I_decl (ctyp, id)), _) :: instrs -> NameCTSet.add (id, ctyp) (all_decls instrs)
    | _ :: instrs -> all_decls instrs
    | [] -> NameCTSet.empty
  in

  let orig_A n =
    match graph.nodes.(n) with
    | Some ((_, CF_block (instrs, _)), _, _) ->
        let vars = List.fold_left NameCTSet.union NameCTSet.empty (List.map instr_typed_writes instrs) in
        let vars = NameCTSet.diff vars (all_decls instrs) in
        all_vars := NameCTSet.union vars !all_vars;
        vars
    | Some _ -> NameCTSet.empty
    | None -> NameCTSet.empty
  in
  let phi_A = ref NameCTMap.empty in

  for n = 0 to graph.next - 1 do
    NameCTSet.iter
      (fun a ->
        let ds = match NameCTMap.find_opt a !defsites with Some ds -> ds | None -> IntSet.empty in
        defsites := NameCTMap.add a (IntSet.add n ds) !defsites
      )
      (orig_A n)
  done;

  NameCTSet.iter
    (fun a ->
      let workset = ref (NameCTMap.find a !defsites) in
      while not (IntSet.is_empty !workset) do
        let n = IntSet.choose !workset in
        workset := IntSet.remove n !workset;
        IntSet.iter
          (fun y ->
            let phi_A_a = match NameCTMap.find_opt a !phi_A with Some set -> set | None -> IntSet.empty in
            if not (IntSet.mem y phi_A_a) then begin
              begin
                match graph.nodes.(y) with
                | Some ((phis, cfnode), preds, succs) ->
                    graph.nodes.(y) <-
                      Some
                        ( (Phi (fst a, snd a, Util.list_init (IntSet.cardinal preds) (fun _ -> fst a)) :: phis, cfnode),
                          preds,
                          succs
                        )
                | None -> assert false
              end;
              phi_A := NameCTMap.add a (IntSet.add y phi_A_a) !phi_A;
              if not (NameCTSet.mem a (orig_A y)) then workset := IntSet.add y !workset
            end
          )
          df.(n)
      done
    )
    !all_vars

module NameGraph = Graph.Make (Name)

let phi_dependencies cfg =
  let deps = ref NameGraph.empty in
  let decl_nodes = ref NameMap.empty in
  for n = 0 to cfg.next - 1 do
    match cfg.nodes.(n) with
    | Some ((ssa, _), _, _) ->
        List.iter
          (function
            | Phi (id, _, args) ->
                assert (not (NameMap.mem id !decl_nodes));
                decl_nodes := NameMap.add id n !decl_nodes;
                List.iter (fun arg -> deps := NameGraph.add_edge id arg !deps) args
            | _ -> ()
            )
          ssa
    | None -> ()
  done;
  (!deps, !decl_nodes)

let rename_variables globals graph root children =
  let counts = ref NameMap.empty in
  let stacks = ref NameMap.empty in

  let phi_zeros = ref NameMap.empty in

  let get_count id = match NameMap.find_opt id !counts with Some n -> n | None -> 0 in
  let top_stack id = match NameMap.find_opt id !stacks with Some (x :: _) -> x | Some [] -> 0 | None -> 0 in
  let top_stack_phi id ctyp =
    match NameMap.find_opt id !stacks with
    | Some (x :: _) -> x
    | Some [] -> 0
    | None ->
        phi_zeros := NameMap.add (ssa_name 0 id) ctyp !phi_zeros;
        0
  in
  let push_stack id n =
    stacks := NameMap.add id (n :: (match NameMap.find_opt id !stacks with Some s -> s | None -> [])) !stacks
  in

  let rec fold_cval = function
    | V_id (id, ctyp) ->
        if NameSet.mem id globals then V_id (id, ctyp)
        else (
          let i = top_stack id in
          V_id (ssa_name i id, ctyp)
        )
    | V_member (id, ctyp) -> V_member (id, ctyp)
    | V_lit (vl, ctyp) -> V_lit (vl, ctyp)
    | V_call (id, fs) -> V_call (id, List.map fold_cval fs)
    | V_field (f, field) -> V_field (fold_cval f, field)
    | V_tuple_member (f, len, n) -> V_tuple_member (fold_cval f, len, n)
    | V_ctor_kind (f, ctor, ctyp) -> V_ctor_kind (fold_cval f, ctor, ctyp)
    | V_ctor_unwrap (f, ctor, ctyp) -> V_ctor_unwrap (fold_cval f, ctor, ctyp)
    | V_struct (fields, ctyp) -> V_struct (List.map (fun (field, cval) -> (field, fold_cval cval)) fields, ctyp)
    | V_tuple (members, ctyp) -> V_tuple (List.map fold_cval members, ctyp)
  in

  let rec fold_clexp rmw = function
    | CL_id (id, ctyp) when rmw ->
        let i = top_stack id in
        let j = get_count id + 1 in
        counts := NameMap.add id j !counts;
        push_stack id j;
        CL_rmw (ssa_name i id, ssa_name j id, ctyp)
    | CL_id (id, ctyp) ->
        let i = get_count id + 1 in
        counts := NameMap.add id i !counts;
        push_stack id i;
        CL_id (ssa_name i id, ctyp)
    | CL_rmw _ -> assert false
    | CL_field (clexp, field) -> CL_field (fold_clexp true clexp, field)
    | CL_addr clexp -> CL_addr (fold_clexp false clexp)
    | CL_tuple (clexp, n) -> CL_tuple (fold_clexp true clexp, n)
    | CL_void -> CL_void
  in
  let fold_creturn = function
    | CR_one clexp -> CR_one (fold_clexp false clexp)
    | CR_multi clexps -> CR_multi (List.map (fold_clexp false) clexps)
  in

  let ssa_instr (I_aux (aux, annot)) =
    let aux =
      match aux with
      | I_funcall (creturn, extern, id, args) ->
          let args = List.map fold_cval args in
          I_funcall (fold_creturn creturn, extern, id, args)
      | I_copy (clexp, cval) ->
          let cval = fold_cval cval in
          I_copy (fold_clexp false clexp, cval)
      | I_decl (ctyp, id) ->
          let i = get_count id + 1 in
          counts := NameMap.add id i !counts;
          push_stack id i;
          I_decl (ctyp, ssa_name i id)
      | I_init (ctyp, id, cval) ->
          let cval = fold_cval cval in
          let i = get_count id + 1 in
          counts := NameMap.add id i !counts;
          push_stack id i;
          I_init (ctyp, ssa_name i id, cval)
      | instr -> instr
    in
    I_aux (aux, annot)
  in

  let ssa_terminator = function
    | T_jump (cond, label) -> begin
        match IntMap.find_opt cond graph.conds with
        | Some cval ->
            graph.conds <- IntMap.add cond (fold_cval cval) graph.conds;
            T_jump (cond, label)
        | None -> assert false
      end
    | T_end id ->
        let i = top_stack id in
        T_end (ssa_name i id)
    | terminator -> terminator
  in

  let ssa_cfnode = function
    | CF_start inits -> CF_start inits
    | CF_block (instrs, terminator) ->
        let instrs = List.map ssa_instr instrs in
        CF_block (instrs, ssa_terminator terminator)
    | CF_label label -> CF_label label
    | CF_guard cond -> CF_guard cond
    | CF_end -> CF_end
  in

  let ssa_ssanode = function
    | Phi (id, ctyp, args) ->
        let i = get_count id + 1 in
        counts := NameMap.add id i !counts;
        push_stack id i;
        Phi (ssa_name i id, ctyp, args)
    | Pi _ -> assert false (* Should not be introduced at this point *)
  in

  let fix_phi j = function
    | Phi (id, ctyp, ids) ->
        let fix_arg k a =
          if k = j then (
            let i = top_stack_phi a ctyp in
            ssa_name i a
          )
          else a
        in
        Phi (id, ctyp, List.mapi fix_arg ids)
    | Pi _ -> assert false (* Should not be introduced at this point *)
  in

  let rec rename n =
    let old_stacks = !stacks in
    begin
      match graph.nodes.(n) with
      | Some ((ssa, cfnode), preds, succs) ->
          let ssa = List.map ssa_ssanode ssa in
          graph.nodes.(n) <- Some ((ssa, ssa_cfnode cfnode), preds, succs);
          List.iter
            (fun succ ->
              match graph.nodes.(succ) with
              | Some ((ssa, cfnode), preds, succs) ->
                  (* Suppose n is the j-th predecessor of succ *)
                  let rec find_j n succ = function
                    | pred :: preds -> if pred = succ then n else find_j (n + 1) succ preds
                    | [] -> assert false
                  in
                  let j = find_j 0 n (IntSet.elements preds) in
                  graph.nodes.(succ) <- Some ((List.map (fix_phi j) ssa, cfnode), preds, succs)
              | None -> assert false
            )
            (IntSet.elements succs)
      | None -> assert false
    end;
    IntSet.iter (fun child -> rename child) children.(n);
    stacks := old_stacks
  in
  rename root;
  match graph.nodes.(root) with
  | Some ((ssa, CF_start _), preds, succs) -> graph.nodes.(root) <- Some ((ssa, CF_start !phi_zeros), preds, succs)
  | _ -> failwith "root node is not CF_start"

let is_true_literal = function V_lit (VL_bool true, _) -> true | _ -> false

let is_false_literal = function V_lit (VL_bool false, _) -> true | _ -> false

let simp_disj = function
  | [x; V_call (Bnot, [y])] when x = y -> [V_lit (VL_bool true, CT_bool)]
  | xs ->
      if List.exists is_true_literal xs then [V_lit (VL_bool true, CT_bool)]
      else List.filter (fun x -> not (is_false_literal x)) xs

let simp_conj = function
  | [x; V_call (Bnot, [y])] when x = y -> [V_lit (VL_bool false, CT_bool)]
  | xs ->
      if List.exists is_false_literal xs then [V_lit (VL_bool false, CT_bool)]
      else List.filter (fun x -> not (is_true_literal x)) xs

let place_pi_functions ~start ~finish ~post_idom ~post_df graph =
  let get_guard = function
    | CF_guard cond -> begin
        match IntMap.find_opt (abs cond) graph.conds with
        | Some guard when cond > 0 -> Some guard
        | Some guard -> Some (V_call (Bnot, [guard]))
        | None -> assert false
      end
    | _ -> None
  in
  let get_pi ssanode = List.concat (List.map (function Pi guards -> guards | _ -> []) ssanode) in

  let mk_disj xs = match simp_disj xs with [] -> V_lit (VL_bool false, CT_bool) | [x] -> x | xs -> V_call (Bor, xs) in
  let mk_conj xs = match simp_conj xs with [] -> V_lit (VL_bool true, CT_bool) | [x] -> x | xs -> V_call (Band, xs) in

  let visited = ref IntSet.empty in
  let rec go n =
    if not (IntSet.mem n !visited) then (
      match graph.nodes.(n) with
      | Some ((ssa, cfnode), preds, succs) ->
          let disj =
            List.map
              (fun post_frontier ->
                assert (post_frontier <> n);
                go post_frontier;
                match graph.nodes.(post_frontier) with
                | Some ((ssanode, _), _, succs) ->
                    let pathcond = get_pi ssanode in
                    let disj =
                      List.filter_map
                        (fun s ->
                          if s = n || dominate post_idom s n then (
                            let (_, cfnode), _, _ = Option.get graph.nodes.(s) in
                            get_guard cfnode
                          )
                          else None
                        )
                        (IntSet.elements succs)
                    in
                    mk_disj disj :: pathcond
                | None -> assert false
              )
              (IntSet.elements post_df.(n))
          in
          let mk_pi = function
            | [] -> Pi []
            | [conj] -> Pi conj
            | conjs -> Pi [mk_disj (List.map (fun conj -> mk_conj conj) conjs)]
          in
          visited := IntSet.add n !visited;
          graph.nodes.(n) <- Some ((mk_pi disj :: ssa, cfnode), preds, succs)
      | None -> ()
    )
  in
  for n = 0 to graph.next - 1 do
    go n
  done

(* Debugging utilities for outputing Graphviz files. *)

let string_of_ssainstr = function
  | Phi (id, ctyp, args) ->
      string_of_name id ^ " : " ^ string_of_ctyp ctyp ^ " = &phi;(" ^ Util.string_of_list ", " string_of_name args ^ ")"
  | Pi cvals -> "&pi;(" ^ Util.string_of_list ", " (fun v -> String.escaped (string_of_cval v)) cvals ^ ")"

let string_of_phis = function [] -> "" | phis -> Util.string_of_list "\\l" string_of_ssainstr phis ^ "\\l"

let string_of_node = function
  | phis, CF_label label -> string_of_phis phis ^ label
  | phis, CF_block (instrs, terminator) ->
      string_of_phis phis ^ Util.string_of_list "\\l" (fun instr -> String.escaped (string_of_instr instr)) instrs
  | phis, CF_start inits ->
      string_of_phis phis ^ "START" ^ "\\l"
      ^ Util.string_of_list "\\l"
          (fun (n, ctyp) -> string_of_name n ^ " : " ^ string_of_ctyp ctyp)
          (NameMap.bindings inits)
  | phis, CF_guard cval -> string_of_phis phis ^ string_of_int cval
  | phis, CF_end -> string_of_phis phis ^ "END"

let vertex_color = function
  | _, CF_start _ -> "peachpuff"
  | _, CF_block _ -> "white"
  | _, CF_label _ -> "springgreen"
  | _, CF_guard _ -> "yellow"
  | _, CF_end -> "red"

let make_dot out_chan graph =
  Util.opt_colors := false;
  output_string out_chan "digraph DEPS {\n";
  let make_node i n =
    output_string out_chan
      (Printf.sprintf "  n%i [label=\"%i\\n%s\\l\";shape=box;style=filled;fillcolor=%s];\n" i i (string_of_node n)
         (vertex_color n)
      )
  in
  let make_line i s = output_string out_chan (Printf.sprintf "  n%i -> n%i [color=black];\n" i s) in
  for i = 0 to graph.next - 1 do
    match graph.nodes.(i) with
    | Some (n, _, successors) ->
        make_node i n;
        IntSet.iter (fun s -> make_line i s) successors
    | None -> ()
  done;
  output_string out_chan "}\n";
  Util.opt_colors := true

let make_dominators_dot out_chan idom graph =
  Util.opt_colors := false;
  output_string out_chan "digraph DOMS {\n";
  let make_node i n =
    output_string out_chan
      (Printf.sprintf "  n%i [label=\"%i\\n%s\\l\";shape=box;style=filled;fillcolor=%s];\n" i i (string_of_node n)
         (vertex_color n)
      )
  in
  let make_line i s = output_string out_chan (Printf.sprintf "  n%i -> n%i [color=black];\n" i s) in
  for i = 0 to Array.length idom - 1 do
    match graph.nodes.(i) with
    | Some (n, _, _) ->
        if idom.(i) = -1 then make_node i n
        else (
          make_node i n;
          make_line i idom.(i)
        )
    | None -> ()
  done;
  output_string out_chan "}\n";
  Util.opt_colors := true

let ssa ?globals ?debug_prefix instrs =
  let start, finish, cfg = control_flow_graph instrs in
  begin
    match debug_prefix with
    | Some prefix ->
        let out_chan = open_out (prefix ^ "_cfg.gv") in
        make_dot out_chan cfg;
        close_out out_chan
    | None -> ()
  end;
  let idom = immediate_dominators cfg start in
  let post_idom = immediate_dominators ~post:true cfg finish in
  begin
    match debug_prefix with
    | Some prefix ->
        let out_chan = open_out (prefix ^ "_post_doms.gv") in
        make_dominators_dot out_chan post_idom cfg;
        close_out out_chan
    | None -> ()
  end;
  let children = dominator_children idom in
  let post_children = dominator_children post_idom in
  let df = dominance_frontiers cfg start idom children in
  let post_df = dominance_frontiers ~post:true cfg finish post_idom post_children in
  place_phi_functions cfg df;
  rename_variables (Option.value ~default:NameSet.empty globals) cfg start children;
  place_pi_functions ~start ~finish ~post_idom ~post_df cfg;
  (start, finish, cfg)
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