def preparation(translator, graphs, threshold=SMALL_THRESHOLD,
heuristic=inline.inlining_heuristic):
count = 0
inline.auto_inline_graphs(translator, graphs, threshold,
heuristic=heuristic)
count += remove_mallocs(translator, graphs)
log.inlineandremove("preparation removed %s mallocs in total" % count)
return count
def preparation(translator,
graphs,
threshold=SMALL_THRESHOLD,
heuristic=inline.inlining_heuristic):
count = 0
inline.auto_inline_graphs(translator,
graphs,
threshold,
heuristic=heuristic)
count += remove_mallocs(translator, graphs)
log.inlineandremove("preparation removed %s mallocs in total" % count)
return count
def inline_and_remove(t, graphs, threshold=BIG_THRESHOLD,
heuristic=inline.inlining_heuristic):
callgraph, caller_candidates = find_malloc_removal_candidates(t, graphs)
log.inlineandremove("found %s malloc removal candidates" %
len(caller_candidates))
if callgraph:
count = inline.auto_inlining(t, callgraph=callgraph,
threshold=threshold,
heuristic=heuristic)
if not count:
return False
log.inlineandremove('inlined %d callsites.'% (count,))
count = remove_mallocs(t, caller_candidates.keys())
return count
else:
return False
def inline_and_remove(t,
graphs,
threshold=BIG_THRESHOLD,
heuristic=inline.inlining_heuristic):
callgraph, caller_candidates = find_malloc_removal_candidates(t, graphs)
log.inlineandremove("found %s malloc removal candidates" %
len(caller_candidates))
if callgraph:
count = inline.auto_inlining(t,
callgraph=callgraph,
threshold=threshold,
heuristic=heuristic)
if not count:
return False
log.inlineandremove('inlined %d callsites.' % (count, ))
count = remove_mallocs(t, caller_candidates.keys())
return count
else:
return False
