def _DiffSymbolGroups(before, after):
# For changed symbols, padding is zeroed out. In order to not lose the
# information entirely, store it in aggregate.
padding_by_section_name = collections.defaultdict(int)
# Usually >90% of symbols are exact matches, so all of the time is spent in
# this first pass.
all_deltas, before, after = _MatchSymbols(before, after, _ExactMatchKey,
padding_by_section_name)
for key_func in (_GoodMatchKey, _PoorMatchKey):
delta_syms, before, after = _MatchSymbols(before, after, key_func,
padding_by_section_name)
all_deltas.extend(delta_syms)
logging.debug('Creating %d unmatched symbols', len(after) + len(before))
for after_sym in after:
all_deltas.append(models.DeltaSymbol(None, after_sym))
for before_sym in before:
all_deltas.append(models.DeltaSymbol(before_sym, None))
# Create a DeltaSymbol to represent the zero'd out padding of matched symbols.
for section_name, padding in padding_by_section_name.iteritems():
if padding != 0:
after_sym = models.Symbol(
section_name,
padding,
name="** aggregate padding of diff'ed symbols")
after_sym.padding = padding
all_deltas.append(models.DeltaSymbol(None, after_sym))
return models.DeltaSymbolGroup(all_deltas)
def _DiffSymbolGroups(before, after):
# For changed symbols, padding is zeroed out. In order to not lose the
# information entirely, store it in aggregate.
padding_by_section_name = collections.defaultdict(int)
# Usually >90% of symbols are exact matches, so all of the time is spent in
# this first pass.
all_deltas, before, after = _MatchSymbols(before, after, _Key1,
padding_by_section_name)
for key_func in (_Key2, _Key3, _Key4):
delta_syms, before, after = _MatchSymbols(before, after, key_func,
padding_by_section_name)
all_deltas.extend(delta_syms)
logging.debug('Creating %d unmatched symbols', len(after) + len(before))
for after_sym in after:
all_deltas.append(models.DeltaSymbol(None, after_sym))
for before_sym in before:
all_deltas.append(models.DeltaSymbol(before_sym, None))
# Create a DeltaSymbol to represent the zero'd out padding of matched symbols.
for section_name, padding in padding_by_section_name.items():
if padding != 0:
after_sym = models.Symbol(section_name, padding)
# This is after _NormalizeNames() is called, so set |full_name|,
# |template_name|, and |name|.
after_sym.SetName("Overhead: aggregate padding of diff'ed symbols")
after_sym.padding = padding
all_deltas.append(models.DeltaSymbol(None, after_sym))
return models.DeltaSymbolGroup(all_deltas)
def _DiffSymbolGroups(containers, before, after):
# For changed symbols, padding is zeroed out. In order to not lose the
# information entirely, store it in aggregate. These aggregations are grouped
# by "segment names", which are (container name, section name) tuples.
padding_by_segment = collections.defaultdict(float)
# Usually >90% of symbols are exact matches, so all of the time is spent in
# this first pass.
all_deltas, before, after = _MatchSymbols(before, after, _Key1,
padding_by_segment)
for key_func in (_Key2, _Key3, _Key4):
delta_syms, before, after = _MatchSymbols(before, after, key_func,
padding_by_segment)
all_deltas.extend(delta_syms)
logging.debug('Creating %d unmatched symbols', len(after) + len(before))
for after_sym in after:
all_deltas.append(models.DeltaSymbol(None, after_sym))
for before_sym in before:
all_deltas.append(models.DeltaSymbol(before_sym, None))
container_from_name = {c.name: c for c in containers}
# Create a DeltaSymbol to represent the zero'd out padding of matched symbols.
for (container_name, section_name), padding in padding_by_segment.items():
# Values need to be integer (crbug.com/1132394).
padding = round(padding)
if padding != 0:
after_sym = models.Symbol(section_name, padding)
after_sym.container = container_from_name[container_name]
# This is after _NormalizeNames() is called, so set |full_name|,
# |template_name|, and |name|.
after_sym.SetName("Overhead: aggregate padding of diff'ed symbols")
after_sym.padding = padding
all_deltas.append(models.DeltaSymbol(None, after_sym))
return models.DeltaSymbolGroup(all_deltas)