def find_malloc_removal_candidates(t, graphs):
adi = AbstractDataFlowInterpreter(t)
for graph in graphs:
if graph.startblock not in adi.flown_blocks:
adi.schedule_function(graph)
adi.complete()
targetset = dict.fromkeys(graphs)
caller_candidates = {}
seen = {}
for graph in adi.seen_graphs():
creps = find_malloc_creps(graph, adi, t)
#print "malloc creps", creps
if creps:
find_calls_where_creps_go(creps, graph, adi, t, seen)
if creps:
if graph in targetset:
caller_candidates[graph] = True
callgraph = []
for (called_graph, i), callers in seen.iteritems():
for caller in callers:
if caller in targetset:
callgraph.append((caller, called_graph))
else:
log.inlineandremove.WARNING("would like to inline into"
" out of target set: %r"
% caller)
return callgraph, caller_candidates
def find_malloc_removal_candidates(t, graphs):
adi = AbstractDataFlowInterpreter(t)
for graph in graphs:
if graph.startblock not in adi.flown_blocks:
adi.schedule_function(graph)
adi.complete()
malloc_graphs = malloc_like_graphs(adi)
targetset = dict.fromkeys(graphs)
caller_candidates = {}
seen = {}
for graph in adi.seen_graphs():
creps = find_malloc_creps(graph, adi, t, malloc_graphs)
if creps:
find_calls_where_creps_go(creps, graph, adi, t, seen)
if creps:
if graph in targetset:
caller_candidates[graph] = True
callgraph = []
for called_graph, callers in seen.iteritems():
for caller in callers:
if caller in targetset and called_graph in targetset:
callgraph.append((caller, called_graph))
else:
log.inlineandremove.WARNING("would like to inline into"
" out of target set: %r" % caller)
return callgraph, caller_candidates
def build_adi(function, types):
t = TranslationContext()
t.buildannotator().build_types(function, types)
t.buildrtyper().specialize()
adi = AbstractDataFlowInterpreter(t)
graph = graphof(t, function)
adi.schedule_function(graph)
adi.complete()
return t, adi, graph
def build_adi(function, types):
t = Translation(function)
t.rtype(types)
if conftest.option.view:
t.view()
adi = AbstractDataFlowInterpreter(t.context)
graph = graphof(t.context, function)
adi.schedule_function(graph)
adi.complete()
return t.context, adi, graph
def build_adi(function, types):
t = Translation(function)
t.rtype(types)
if conftest.option.view:
t.view()
adi = AbstractDataFlowInterpreter(t.context)
graph = graphof(t.context, function)
adi.schedule_function(graph)
adi.complete()
return t.context, adi, graph
def build_adi(function, types):
t = TranslationContext()
t.buildannotator().build_types(function, types)
t.buildrtyper().specialize()
if conftest.option.view:
t.view()
adi = AbstractDataFlowInterpreter(t)
graph = graphof(t, function)
adi.schedule_function(graph)
adi.complete()
return t, adi, graph