blob: e92610abd3c1aaea500cb8e34fda652fc1e977c7 [file] [log] [blame]
# Copyright 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import collections
import re
SECTION_TO_SECTION_NAME = {
'b': '.bss',
'd': '.data',
'r': '.rodata',
't': '.text',
}
class BaseSymbol(object):
"""Base class for Symbol and SymbolGroup."""
__slots__ = ()
def __repr__(self):
return '%s@%x(size=%d,padding=%d,name=%s,path=%s)' % (
self.section_name, self.address, self.size_without_padding,
self.size - self.size_without_padding, self.name, self.path)
@property
def section(self):
return self.section_name[1]
@property
def size_without_padding(self):
return self.size - self.padding
@property
def end_address(self):
return self.address + self.size_without_padding
def IsGroup(self):
return False
def IsGenerated(self):
return self.name and self.name.endswith(']') and (
not self.name.endswith('[]'))
class Symbol(BaseSymbol):
"""Represents a single symbol within a binary."""
__slots__ = (
'section_name',
'address',
'size',
'padding',
'name',
'function_signature',
'path',
)
def __init__(self, section_name, address, size_without_padding, name, path):
self.section_name = intern(section_name)
self.address = address
self.size = size_without_padding
self.padding = 0
self.name = name
self.function_signature = None
self.path = path
class SymbolGroup(BaseSymbol):
"""Represents a group of symbols using the same interface as Symbol."""
__slots__ = (
'symbols',
'filtered_symbols',
'name',
'section_name',
)
def __init__(self, symbols, filtered_symbols=None, name=None,
section_name='**'):
self.symbols = symbols
self.filtered_symbols = filtered_symbols or []
self.name = name
self.section_name = section_name
@property
def address(self):
return 0
@property
def function_signature(self):
return None
@property
def path(self):
return None
@property
def size(self):
return sum(s.size for s in self)
@property
def padding(self):
return sum(s.padding for s in self)
def __iter__(self):
return iter(self.symbols)
def __len__(self):
return len(self.symbols)
def IsGroup(self):
return True
def Sorted(self, cmp_func=None, key=None, reverse=False):
# Default to sorting by size then name.
if cmp_func is None and key is None:
cmp_func = lambda a, b: cmp((b.size, a.name), (a.size, b.name))
new_symbols = sorted(self.symbols, cmp_func, key, reverse)
return self.__class__(new_symbols, filtered_symbols=self.filtered_symbols,
section_name=self.section_name)
def Filter(self, func, include_filtered=False):
filtered_and_kept = ([], [])
for symbol in self:
filtered_and_kept[int(bool(func(symbol)))].append(symbol)
if include_filtered:
filtered_and_kept[0].extend(self.filtered_symbols)
return self.__class__(filtered_and_kept[1],
filtered_symbols=filtered_and_kept[0],
section_name=self.section_name)
def WhereBiggerThan(self, min_size, include_filtered=False):
return self.Filter(lambda s: s.size >= min_size,
include_filtered=include_filtered)
def WhereInSection(self, section, include_filtered=False):
ret = self.Filter(lambda s: s.section == section,
include_filtered=include_filtered)
ret.section_name = SECTION_TO_SECTION_NAME[section]
return ret
def WhereNameMatches(self, pattern, include_filtered=False):
regex = re.compile(pattern)
return self.Filter(lambda s: s.name and regex.search(s.name),
include_filtered=include_filtered)
def WherePathMatches(self, pattern, include_filtered=False):
regex = re.compile(pattern)
return self.Filter(lambda s: s.path and regex.search(s.path),
include_filtered=include_filtered)
def WhereAddressInRange(self, start, end, include_filtered=False):
return self.Filter(lambda s: s.address >= start and s.address <= end,
include_filtered=include_filtered)
def WhereHasAnyAttribution(self, include_filtered=False):
return self.Filter(lambda s: s.name or s.path,
include_filtered=include_filtered)
def Inverted(self):
return self.__class__(self.filtered_symbols, filtered_symbols=self.symbols)
def GroupBy(self, func, include_filtered=False):
new_syms = []
filtered_symbols = []
symbols_by_token = collections.defaultdict(list)
for symbol in self:
token = func(symbol)
if not token:
filtered_symbols.append(symbol)
continue
symbols_by_token[token].append(symbol)
for token, symbols in symbols_by_token.iteritems():
new_syms.append(self.__class__(symbols, name=token,
section_name=self.section_name))
if include_filtered:
filtered_symbols.extend(self.filtered_symbols)
return self.__class__(new_syms, filtered_symbols=filtered_symbols,
section_name=self.section_name)
def GroupByNamespace(self, depth=1, include_filtered=False):
def extract_namespace(symbol):
# Does not distinguish between classes and namespaces.
if symbol.name:
idx = -2
for _ in xrange(depth):
idx = symbol.name.find('::', idx + 2)
if idx != -1:
ret = symbol.name[:idx]
if '<' not in ret:
return ret
return '{global}'
return self.GroupBy(extract_namespace, include_filtered=include_filtered)
def GroupByPath(self, depth=1, include_filtered=False):
def extract_path(symbol):
if symbol.path:
idx = -1
for _ in xrange(depth):
idx = symbol.path.find('/', idx + 1)
if idx != -1:
return symbol.path[:idx]
return None
return self.GroupBy(extract_path, include_filtered=include_filtered)