dialyzer_callgraph.erl
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%% ``The contents of this file are subject to the Erlang Public License,%% Version 1.1, (the "License"); you may not use this file except in%% compliance with the License. You should have received a copy of the%% Erlang Public License along with this software. If not, it can be%% retrieved via the world wide web at http://www.erlang.org/.%% %% Software distributed under the License is distributed on an "AS IS"%% basis, WITHOUT WARRANTY OF ANY KIND, either express or implied. See%% the License for the specific language governing rights and limitations%% under the License.%% %% Copyright 2006, Tobias Lindahl and Kostis Sagonas%% %% $Id$%%%%%-------------------------------------------------------------------%%% File : dialyzer_callgraph.erl%%% Author : Tobias Lindahl <tobiasl@it.uu.se>%%% Description : %%%%%% Created : 30 Mar 2005 by Tobias Lindahl <tobiasl@it.uu.se>%%%--------------------------------------------------------------------module(dialyzer_callgraph).-export([all_nodes/1, delete/1, finalize/1, is_escaping/2, is_self_rec/2, non_local_calls/1, lookup_rec_var/2, lookup_call_site/2, lookup_label/2, lookup_name/2, modules/1, module_postorder/1, module_postorder_from_funs/2, in_neighbours/2, reset_from_funs/2, scan_core_tree/2, scan_icode/2, split_into_components/1, new/0, take_scc/1, remove_external/1]).%-define(NO_UNUSED, true).-ifndef(NO_UNUSED).-export([to_dot/1]).-endif.%%----------------------------------------------------------------------%%%% A callgraph is a directed graph where the nodes are functions and a%% call between two functions is an edge from the caller to the%% callee. %%%% calls - A mapping from call site (and apply site) labels %% to the possible functions that can be called.%% digraph - A digraph representing the callgraph. %% Nodes are represented as MFAs or labels.%% esc - A set of all escaping functions as reported by dialyzer_dep.%% postorder - A list of strongly connected components of the callgraph%% sorted in a topological bottom-up order.%% This is produced by calling finalize/1.%% name_map - A mapping from label to MFA.%% rev_name_map- A reverse mapping of the name_map.%% rec_var_map - a dict mapping from letrec bound labels to function names. %% Only for top level functions (from module defs).%% self_rec - a set containing all self recursive functions.%% Note that this contains MFAs for named functions and labels%% whenever applicable.%%-record(dialyzer_callgraph, {digraph, esc, name_map, rev_name_map, postorder, rec_var_map, self_rec, calls}).new() -> #dialyzer_callgraph{calls=dict:new(), digraph=digraph_new(), esc=sets:new(), name_map=dict:new(), postorder=[], rec_var_map=dict:new(), rev_name_map=dict:new(), self_rec=sets:new()}.delete(#dialyzer_callgraph{digraph=Digraph}) -> digraph_delete(Digraph).split_into_components(CG = #dialyzer_callgraph{digraph=Digraph}) -> %% Splits the callgraph into connected components that can be %% analyzed in parallell. Note that we keep all other information in %% the callgraph the same in all parts even if it means a lot of %% redundant information. DigraphList = digraph_components(Digraph), [CG#dialyzer_callgraph{digraph=DG} || DG <- DigraphList].all_nodes(#dialyzer_callgraph{digraph=DG}) -> digraph_vertices(DG).lookup_rec_var(Label, #dialyzer_callgraph{rec_var_map=RecVarMap}) when is_integer(Label) -> dict:find(Label, RecVarMap).lookup_call_site(Label,#dialyzer_callgraph{calls=Calls})when is_integer(Label)-> dict:find(Label, Calls).lookup_name(Label,#dialyzer_callgraph{name_map=NameMap})when is_integer(Label)-> dict:find(Label, NameMap).lookup_label(MFA = {_,_,_}, #dialyzer_callgraph{rev_name_map=RevNameMap}) -> dict:find(MFA, RevNameMap);lookup_label(Label, #dialyzer_callgraph{}) when is_integer(Label) -> {ok, Label}.in_neighbours(Label, CG=#dialyzer_callgraph{}) when is_integer(Label) -> Name = case dict:find(Label, CG#dialyzer_callgraph.name_map) of {ok, Val} -> Val; error -> Label end, digraph_in_neighbours(Name, CG#dialyzer_callgraph.digraph);in_neighbours(MFA={_,_,_}, CG=#dialyzer_callgraph{}) -> digraph_in_neighbours(MFA, CG#dialyzer_callgraph.digraph).is_self_rec(MfaOrLabel, #dialyzer_callgraph{self_rec=SelfRecs}) -> sets:is_element(MfaOrLabel, SelfRecs).is_escaping(Label, #dialyzer_callgraph{esc=Esc}) when is_integer(Label) -> sets:is_element(Label, Esc). add_edges([], CG) -> CG;add_edges(Edges, CG = #dialyzer_callgraph{digraph=Callgraph}) -> CG#dialyzer_callgraph{digraph=digraph_add_edges(Edges, Callgraph)}.add_edges(Edges, MFAs, CG = #dialyzer_callgraph{digraph=DG}) -> DG1 = digraph_confirm_vertices(MFAs, DG), add_edges(Edges, CG#dialyzer_callgraph{digraph=DG1}).take_scc(CG = #dialyzer_callgraph{postorder=[SCC|Left]}) -> {ok, SCC, CG#dialyzer_callgraph{postorder=Left}};take_scc(#dialyzer_callgraph{postorder=[]}) -> none.remove_external(CG = #dialyzer_callgraph{digraph=DG}) -> {NewDG, External} = digraph_remove_external(DG), {CG#dialyzer_callgraph{digraph=NewDG}, External}.non_local_calls(#dialyzer_callgraph{digraph=DG}) -> Edges = digraph_edges(DG), find_non_local_calls(Edges, sets:new()).find_non_local_calls([{{M, _, _}, {M, _, _}}|Left], Set) -> find_non_local_calls(Left, Set);find_non_local_calls([Edge={{M1, _, _},{M2, _, _}}|Left], Set) when M1 =/= M2 -> find_non_local_calls(Left, sets:add_element(Edge, Set));find_non_local_calls([{{_,_,_}, Label}|Left], Set) when is_integer(Label) -> find_non_local_calls(Left, Set); find_non_local_calls([{Label, {_,_,_}}|Left], Set) when is_integer(Label) -> find_non_local_calls(Left, Set);find_non_local_calls([{Label1, Label2}|Left], Set) when is_integer(Label1), is_integer(Label2) -> find_non_local_calls(Left, Set);find_non_local_calls([], Set) -> sets:to_list(Set).modules(#dialyzer_callgraph{digraph=DG}) -> ordsets:from_list([M || {M,_F,_A} <- digraph_vertices(DG)]).module_postorder(#dialyzer_callgraph{digraph=DG}) -> Edges = digraph_edges(DG), Nodes = ordsets:from_list([M || {M,_F,_A} <- digraph_vertices(DG)]), MDG = digraph_new(), MDG1 = digraph_confirm_vertices(Nodes, MDG), MDG2 = create_module_digraph(Edges, MDG1), MDG3 = digraph_utils:condensation(MDG2), PostOrder = digraph_utils:postorder(MDG3), PostOrder1 = sort_sccs_internally(PostOrder, MDG2), digraph:delete(MDG2), digraph_delete(MDG3), PostOrder1.sort_sccs_internally(PO, MDG) -> sort_sccs_internally(PO, MDG, []).sort_sccs_internally([SCC|Left], MDG, Acc) -> case length(SCC) >= 3 of false -> sort_sccs_internally(Left, MDG, [SCC|Acc]); true -> TmpDG = digraph_utils:subgraph(MDG, SCC), NewSCC = digraph_utils:postorder(TmpDG), digraph_delete(TmpDG), sort_sccs_internally(Left, MDG, [NewSCC|Acc]) end;sort_sccs_internally([], _MDG, Acc) -> lists:reverse(Acc).create_module_digraph([{{M,_,_}, {M,_,_}}|Left], MDG) -> create_module_digraph(Left, MDG);create_module_digraph([{{M1,_,_},{M2,_,_}}|Left], MDG) -> create_module_digraph(Left, digraph_add_edge(M1, M2, MDG));create_module_digraph([{_, _}|Left], MDG) -> create_module_digraph(Left, MDG);create_module_digraph([], MDG) -> MDG.finalize(CG = #dialyzer_callgraph{digraph=DG}) -> CG#dialyzer_callgraph{postorder=digraph_finalize(DG)}.reset_from_funs(Funs, CG = #dialyzer_callgraph{digraph=DG}) -> SubGraph = digraph_reaching_subgraph(Funs, DG), Postorder = digraph_finalize(SubGraph), digraph_delete(SubGraph), CG#dialyzer_callgraph{postorder=Postorder}.module_postorder_from_funs(Funs, CG = #dialyzer_callgraph{digraph=DG}) -> SubGraph = digraph_reaching_subgraph(Funs, DG), PO = module_postorder(CG#dialyzer_callgraph{digraph=SubGraph}), digraph_delete(SubGraph), PO. %%____________________________________________________________%%%% Core code%%%% The core tree must be labeled as by cerl_trees:label/1 (or /2).%% The set of labels in the tree must be disjoint from the set of%% labels already occuring in the callgraph.scan_core_tree(Tree, CG=#dialyzer_callgraph{calls=OldCalls, esc=OldEsc, name_map=OldNameMap, rec_var_map=OldRecVarMap, rev_name_map=OldRevNameMap, self_rec=OldSelfRec}) -> %% Build name map and recursion variable maps. {NewNameMap, NewRevNameMap, NewRecVarMap} = build_maps(Tree, OldRecVarMap, OldNameMap, OldRevNameMap), %% First find the module-local dependencies. {Deps0, EscapingFuns, Calls} = dialyzer_dep:analyze(Tree), NewCalls = dict:merge(fun(_Key, Val, Val) -> Val end, OldCalls, Calls), NewEsc = sets:union(sets:from_list(EscapingFuns), OldEsc), LabelEdges = get_edges_from_deps(Deps0), %% Find the self recursive functions. Named functions gets both the %% key and its name for convenience. SelfRecs0 = lists:foldl(fun({Key, Key}, Acc) -> case dict:find(Key, NewNameMap) of error -> [Key|Acc]; {ok, Name} -> [Key, Name|Acc] end; (_, Acc) -> Acc end, [], LabelEdges), SelfRecs = sets:union(sets:from_list(SelfRecs0), OldSelfRec), NamedEdges1 = name_edges(LabelEdges, NewNameMap), %% We need to scan for intermodular calls since this is not tracked %% by dialyzer_dep. Note that the caller is always recorded as the %% top level function. This is ok since the included functions are %% stored as scc with the parent. NamedEdges2 = scan_core_funs(Tree), %% Confirm all nodes in the tree. Names1 = lists:flatten([[X, Y] || {X, Y} <- NamedEdges1]), Names2 = ordsets:from_list(Names1), Names3 = ordsets:del_element(top, Names2), CG1 = add_edges(NamedEdges2++NamedEdges1, Names3, CG), CG1#dialyzer_callgraph{calls=NewCalls, esc=NewEsc, name_map=NewNameMap, rec_var_map=NewRecVarMap, rev_name_map=NewRevNameMap, self_rec=SelfRecs}.build_maps(Tree, RecVarMap, NameMap, RevNameMap) -> %% We only care about the named (top level) functions. The anonymous
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