| #!/usr/bin/env vpython3 |
| # Copyright 2017 The Chromium Authors |
| # Use of this source code is governed by a BSD-style license that can be |
| # found in the LICENSE file. |
| |
| """Lists all the reached symbols from an instrumentation dump.""" |
| |
| import argparse |
| import collections |
| import logging |
| import operator |
| import os |
| import sys |
| import json |
| |
| _SRC_PATH = os.path.abspath(os.path.join( |
| os.path.dirname(__file__), os.pardir, os.pardir)) |
| path = os.path.join(_SRC_PATH, 'tools', 'cygprofile') |
| sys.path.append(path) |
| import symbol_extractor |
| |
| |
| def _Median(items): |
| if not items: |
| return None |
| sorted_items = sorted(items) |
| if len(sorted_items) & 1: |
| return sorted_items[len(sorted_items) // 2] |
| return (sorted_items[len(sorted_items) // 2 - 1] + |
| sorted_items[len(sorted_items) // 2]) // 2 |
| |
| |
| class SymbolOffsetProcessor: |
| """Utility for processing symbols in binaries. |
| |
| This class is used to translate between general offsets into a binary and the |
| starting offset of symbols in the binary. Because later phases in orderfile |
| generation have complicated strategies for resolving multiple symbols that map |
| to the same binary offset, this class is concerned with locating a symbol |
| containing a binary offset. If such a symbol exists, the start offset will be |
| unique, even when there are multiple symbol names at the same location in the |
| binary. |
| |
| In the function names below, "dump" is used to refer to arbitrary offsets in a |
| binary (eg, from a profiling run), while "offset" refers to a symbol |
| offset. The dump offsets are relative to the start of text, as produced by |
| orderfile_instrumentation.cc. |
| |
| This class manages expensive operations like extracting symbols, so that |
| higher-level operations can be done in different orders without the caller |
| managing all the state. |
| """ |
| |
| def __init__(self, binary_filename): |
| self._binary_filename = binary_filename |
| self._symbol_infos = None |
| self._name_to_symbol = None |
| self._offset_to_primary = None |
| self._offset_to_symbols = None |
| self._offset_to_symbol_info = None |
| # |_whitelist| will contain symbols whose size is 0. |
| self._whitelist = None |
| |
| def SymbolInfos(self): |
| """The symbols associated with this processor's binary. |
| |
| The symbols are ordered by offset. |
| |
| Returns: |
| [symbol_extractor.SymbolInfo] |
| """ |
| if self._symbol_infos is None: |
| self._symbol_infos = symbol_extractor.SymbolInfosFromBinary( |
| self._binary_filename) |
| self._symbol_infos.sort(key=lambda s: s.offset) |
| logging.info('%d symbols from %s', |
| len(self._symbol_infos), self._binary_filename) |
| return self._symbol_infos |
| |
| def NameToSymbolMap(self): |
| """Map symbol names to their full information. |
| |
| Returns: |
| {symbol name (str): symbol_extractor.SymbolInfo} |
| """ |
| if self._name_to_symbol is None: |
| self._name_to_symbol = {s.name: s for s in self.SymbolInfos()} |
| return self._name_to_symbol |
| |
| def OffsetToPrimaryMap(self): |
| """The map of a symbol offset in this binary to its primary symbol. |
| |
| Several symbols can be aliased to the same address, through ICF. This |
| returns the first one. The order is consistent for a given binary, as it's |
| derived from the file layout. We assert that all aliased symbols are the |
| same size. |
| |
| Returns: |
| {offset (int): primary (symbol_extractor.SymbolInfo)} |
| """ |
| if self._offset_to_primary is None: |
| self._offset_to_primary = {} |
| for s in self.SymbolInfos(): |
| if s.offset not in self._offset_to_primary: |
| self._offset_to_primary[s.offset] = s |
| else: |
| curr = self._offset_to_primary[s.offset] |
| if curr.size != s.size: |
| assert curr.size == 0 or s.size == 0, ( |
| 'Nonzero size mismatch between {} and {}'.format( |
| curr.name, s.name)) |
| # Upgrade to a symbol with nonzero size, otherwise don't change |
| # anything so that we use the earliest nonzero-size symbol. |
| if curr.size == 0 and s.size != 0: |
| self._offset_to_primary[s.offset] = s |
| |
| return self._offset_to_primary |
| |
| def OffsetToSymbolsMap(self): |
| """Map offsets to the set of matching symbols. |
| |
| Unlike OffsetToPrimaryMap, this is a 1-to-many mapping. |
| |
| Returns; |
| {offset (int): [symbol_extractor.SymbolInfo]} |
| """ |
| if self._offset_to_symbols is None: |
| self._offset_to_symbols = symbol_extractor.GroupSymbolInfosByOffset( |
| self.SymbolInfos()) |
| return self._offset_to_symbols |
| |
| def GetOrderedSymbols(self, offsets): |
| """Maps a list of offsets to symbol names, retaining ordering. |
| |
| The symbol name is the primary symbol. This also deals with thumb |
| instruction (which have odd offsets). |
| |
| Args:: |
| offsets (int iterable) a set of offsets. |
| |
| Returns |
| [str] list of symbol names. |
| """ |
| symbols = [] |
| not_found = 0 |
| for o in offsets: |
| if o in self.OffsetToPrimaryMap(): |
| symbols.append(self.OffsetToPrimaryMap()[o].name) |
| elif o % 2 and (o - 1) in self.OffsetToPrimaryMap(): |
| symbols.append(self.OffsetToPrimaryMap()[o - 1].name) |
| else: |
| not_found += 1 |
| if not_found: |
| logging.warning('%d offsets do not have matching symbol', not_found) |
| return symbols |
| |
| def SymbolsSize(self, symbols): |
| """Computes the total size of a set of symbol names. |
| |
| Args: |
| offsets (str iterable) a set of symbols. |
| |
| Returns |
| int The sum of the primary size of the offsets. |
| """ |
| name_map = self.NameToSymbolMap() |
| return sum(name_map[sym].size for sym in symbols) |
| |
| def GetReachedOffsetsFromDump(self, dump): |
| """Find the symbol offsets from a list of binary offsets. |
| |
| The dump is a list offsets into a .text section. This finds the symbols |
| which contain the dump offsets, and returns their offsets. Note that while |
| usually a symbol offset corresponds to a single symbol, in some cases |
| several symbols will map to the same offset. For that reason this function |
| returns only the offset list. See cyglog_to_orderfile.py for computing more |
| information about symbols. |
| |
| Args: |
| dump: (int iterable) Dump offsets, for example as returned by MergeDumps(). |
| |
| Returns: |
| [int] Reached symbol offsets. |
| """ |
| reached_offsets = [] |
| already_seen = set() |
| def update(_, symbol_offset): |
| if symbol_offset is None or symbol_offset in already_seen: |
| return |
| reached_offsets.append(symbol_offset) |
| already_seen.add(symbol_offset) |
| self._TranslateReachedOffsetsFromDump(dump, lambda x: x, update) |
| return reached_offsets |
| |
| def MatchSymbolNames(self, symbol_names): |
| """Find the symbols in this binary which match a list of symbols. |
| |
| Args: |
| symbol_names (str iterable) List of symbol names. |
| |
| Returns: |
| [symbol_extractor.SymbolInfo] Symbols in this binary matching the names. |
| """ |
| our_symbol_names = set(s.name for s in self.SymbolInfos()) |
| matched_names = our_symbol_names.intersection(set(symbol_names)) |
| return sorted([self.NameToSymbolMap()[n] for n in matched_names]) |
| |
| def TranslateAnnotatedSymbolOffsets(self, annotated_offsets): |
| """Merges offsets across run groups and translates to symbol offsets. |
| |
| Like GetReachedOffsetsFromDump, but works with AnnotatedOffsets. |
| |
| Args: |
| annotated_offsets (AnnotatedOffset iterable) List of annotated offsets, |
| eg from ProfileManager.GetAnnotatedOffsets(). This will be mutated to |
| translate raw offsets to symbol offsets. |
| """ |
| self._TranslateReachedOffsetsFromDump( |
| annotated_offsets, |
| lambda o: o.Offset(), |
| lambda o, symbol_offset: o.SetOffset(symbol_offset)) |
| |
| def _TranslateReachedOffsetsFromDump(self, items, get, update): |
| """Translate raw binary offsets to symbol offsets. |
| |
| See GetReachedOffsetsFromDump for details. This version calls |
| |get(i)| on each element |i| of |items|, then calls |
| |update(i, symbol_offset)| with the updated offset. If the offset is not |
| found, update will be called with None. |
| |
| Args: |
| items: (iterable) Items containing offsets. |
| get: (lambda item) As described above. |
| update: (lambda item, int) As described above. |
| """ |
| dump_offset_to_symbol_info = self.GetDumpOffsetToSymbolInfo() |
| for i in items: |
| dump_offset = get(i) |
| idx = dump_offset // 2 |
| assert dump_offset >= 0 and idx < len(dump_offset_to_symbol_info), ( |
| 'Dump offset out of binary range') |
| symbol_info = dump_offset_to_symbol_info[idx] |
| assert symbol_info, ('A return address (offset = 0x{:08x}) does not map ' |
| 'to any symbol'.format(dump_offset)) |
| update(i, symbol_info.offset) |
| |
| def GetWhitelistSymbols(self): |
| """Returns list(string) containing names of the symbols whose size is zero. |
| """ |
| if self._whitelist is None: |
| self.GetDumpOffsetToSymboInfolIncludingWhitelist() |
| return self._whitelist |
| |
| def GetDumpOffsetToSymboInfolIncludingWhitelist(self): |
| """Computes an array mapping each word in .text to a symbol. |
| |
| This list includes symbols with size 0. It considers all offsets till the |
| next symbol to map to the symbol of size 0. |
| |
| Returns: |
| [symbol_extractor.SymbolInfo or None] For every 4 bytes of the .text |
| section, maps it to a symbol, or None. |
| """ |
| if self._whitelist is None: |
| self._whitelist = set() |
| symbols = self.SymbolInfos() |
| start_syms = [s for s in symbols |
| if s.name == symbol_extractor.START_OF_TEXT_SYMBOL] |
| assert len(start_syms) == 1, 'Can\'t find unique start of text symbol' |
| start_of_text = start_syms[0].offset |
| self.GetDumpOffsetToSymbolInfo() |
| max_idx = len(self._offset_to_symbol_info) |
| for sym in symbols: |
| if sym.size != 0 or sym.offset == start_of_text: |
| continue |
| self._whitelist.add(sym.name) |
| idx = (sym.offset - start_of_text) // 2 |
| assert self._offset_to_symbol_info[idx] == sym, ( |
| 'Unexpected unset offset') |
| idx += 1 |
| while idx < max_idx and self._offset_to_symbol_info[idx] is None: |
| self._offset_to_symbol_info[idx] = sym |
| idx += 1 |
| return self._offset_to_symbol_info |
| |
| def GetDumpOffsetToSymbolInfo(self): |
| """Computes an array mapping each word in .text to a symbol. |
| |
| Returns: |
| [symbol_extractor.SymbolInfo or None] For every 4 bytes of the .text |
| section, maps it to a symbol, or None. |
| """ |
| if self._offset_to_symbol_info is None: |
| start_syms = [s for s in self.SymbolInfos() |
| if s.name == symbol_extractor.START_OF_TEXT_SYMBOL] |
| assert len(start_syms) == 1, 'Can\'t find unique start of text symbol' |
| start_of_text = start_syms[0].offset |
| max_offset = max(s.offset + s.size for s in self.SymbolInfos()) |
| text_length_halfwords = (max_offset - start_of_text) // 2 |
| self._offset_to_symbol_info = [None] * text_length_halfwords |
| for sym in self.SymbolInfos(): |
| offset = sym.offset - start_of_text |
| assert offset >= 0, ('Unexpected symbol before the start of text. ' |
| 'Has the linker script broken?') |
| # The low bit of offset may be set to indicate a thumb instruction. The |
| # actual offset is still halfword aligned and so the low bit may be |
| # safely ignored in the division by two below. |
| for i in range(offset // 2, (offset + sym.size) // 2): |
| assert i < text_length_halfwords |
| other_symbol = self._offset_to_symbol_info[i] |
| # There may be overlapping symbols, for example fancy |
| # implementations for __ltsf2 and __gtsf2 (merging common tail |
| # code). In this case, keep the one that started first. |
| if other_symbol is None or other_symbol.offset > sym.offset: |
| self._offset_to_symbol_info[i] = sym |
| |
| if sym.name != symbol_extractor.START_OF_TEXT_SYMBOL and sym.size == 0: |
| idx = offset // 2 |
| assert (self._offset_to_symbol_info[idx] is None or |
| self._offset_to_symbol_info[idx].size == 0), ( |
| 'Unexpected symbols overlapping') |
| self._offset_to_symbol_info[idx] = sym |
| return self._offset_to_symbol_info |
| |
| |
| class ProfileManager: |
| """Manipulates sets of profiles. |
| |
| A "profile set" refers to a set of data from an instrumented version of chrome |
| that will be processed together, usually to produce a single orderfile. A |
| "run" refers to a session of chrome, visiting several pages and thus |
| comprising a browser process and at least one renderer process. A "dump" |
| refers to the instrumentation in chrome writing out offsets of instrumented |
| functions. There may be several dumps per run, for example one describing |
| chrome startup and a second describing steady-state page interaction. Each |
| process in a run produces one file per dump. |
| |
| These dump files have a timestamp of the dump time. Each process produces its |
| own timestamp, but the dumps from each process occur very near in time to each |
| other (< 1 second). If there are several dumps per run, each set of dumps is |
| marked by a "phase" in the filename which is consistent across processes. For |
| example the dump for the startup could be phase 0 and then the steady-state |
| would be labeled phase 1. |
| |
| We assume the files are named like |
| profile-hitmap-PROCESS-PID-TIMESTAMP.SUFFIX_PHASE, where PROCESS is a possibly |
| empty string, PID is the process id, TIMESTAMP is in nanoseconds, SUFFIX is |
| string without dashes, PHASE is an integer numbering the phases as 0, 1, 2..., |
| and the only dot is the one between TIMESTAMP and SUFFIX. |
| |
| This manager supports several configurations of dumps. |
| |
| * A single dump from a single run. These files are merged together to produce |
| a single dump without regard for browser versus renderer methods. |
| |
| * Several phases of dumps from a single run. Files are grouped by phase as |
| described above. |
| |
| * Several phases of dumps from multiple runs from a set of telemetry |
| benchmarks. The timestamp is used to distinguish each run because each |
| benchmark takes < 10 seconds to run but there are > 50 seconds of setup |
| time. This files can be grouped into run sets that are within 30 seconds of |
| each other. Each run set is then grouped into phases as before. |
| """ |
| |
| class AnnotatedOffset: |
| """Describes an offset with how it appeared in a profile set. |
| |
| Each offset is annotated with the phase and process that it appeared in, and |
| can report how often it occurred in a specific phase and process. |
| """ |
| def __init__(self, offset): |
| self._offset = offset |
| self._count = {} |
| |
| def __str__(self): |
| return '{}: {}'.format(self._offset, self._count) |
| |
| def __eq__(self, other): |
| if other is None: |
| return False |
| return (self._offset == other._offset and |
| self._count == other._count) |
| |
| def Increment(self, phase, process): |
| key = (phase, process) |
| self._count[key] = self._count.setdefault(key, 0) + 1 |
| |
| def Count(self, phase, process): |
| return self._count.get((phase, process), 0) |
| |
| def Processes(self): |
| return set(key[1] for key in self._count) |
| |
| def Phases(self): |
| return set(key[0] for key in self._count) |
| |
| def Offset(self): |
| return self._offset |
| |
| def SetOffset(self, o): |
| self._offset = o |
| |
| class _RunGroup: |
| RUN_GROUP_THRESHOLD_NS = 30e9 |
| |
| def __init__(self): |
| self._filenames = [] |
| |
| def Filenames(self, phase=None): |
| if phase is None: |
| return self._filenames |
| return [f for f in self._filenames |
| if ProfileManager._Phase(f) == phase] |
| |
| def Add(self, filename): |
| self._filenames.append(filename) |
| |
| def IsCloseTo(self, filename): |
| run_group_ts = _Median( |
| [ProfileManager._Timestamp(f) for f in self._filenames]) |
| return abs(ProfileManager._Timestamp(filename) - |
| run_group_ts) < self.RUN_GROUP_THRESHOLD_NS |
| |
| def __init__(self, filenames): |
| """Initialize a ProfileManager. |
| |
| Args: |
| filenames ([str]): List of filenames describe the profile set. |
| """ |
| self._filenames = sorted(filenames, key=self._Timestamp) |
| self._run_groups = None |
| |
| def GetPhases(self): |
| """Return the set of phases of all orderfiles. |
| |
| Returns: |
| set(int) |
| """ |
| return set(self._Phase(f) for f in self._filenames) |
| |
| def GetMergedOffsets(self, phase=None): |
| """Merges files, as if from a single dump. |
| |
| Args: |
| phase (int, optional) If present, restrict to this phase. |
| |
| Returns: |
| [int] Ordered list of reached offsets. Each offset only appears |
| once in the output, in the order of the first dump that contains it. |
| """ |
| if phase is None: |
| return self._GetOffsetsForGroup(self._filenames) |
| return self._GetOffsetsForGroup(f for f in self._filenames |
| if self._Phase(f) == phase) |
| |
| def GetAnnotatedOffsets(self): |
| """Merges offsets across run groups and annotates each one. |
| |
| Returns: |
| [AnnotatedOffset] |
| """ |
| offset_map = {} # offset int -> AnnotatedOffset |
| for g in self._GetRunGroups(): |
| for f in g: |
| phase = self._Phase(f) |
| process = self._ProcessName(f) |
| for offset in self._ReadOffsets(f): |
| offset_map.setdefault(offset, self.AnnotatedOffset(offset)).Increment( |
| phase, process) |
| return offset_map.values() |
| |
| def GetProcessOffsetLists(self): |
| """Returns all symbol offsets lists, grouped by process.""" |
| offsets_by_process = collections.defaultdict(list) |
| for f in self._filenames: |
| offsets_by_process[self._ProcessName(f)].append(self._ReadOffsets(f)) |
| return offsets_by_process |
| |
| def _SanityCheckAllCallsCapturedByTheInstrumentation(self, process_info): |
| total_calls_count = int(process_info['total_calls_count']) |
| call_graph = process_info['call_graph'] |
| count = 0 |
| for el in call_graph: |
| for bucket in el['caller_and_count']: |
| count += int(bucket['count']) |
| |
| # This is a sanity check to ensure the number of race-related |
| # inconsistencies is small. |
| if total_calls_count != count: |
| logging.warn('Instrumentation missed calls! %u != %u', total_calls_count, |
| count) |
| assert abs(total_calls_count - count) < 3, ( |
| 'Instrumentation call count differs by too much.') |
| |
| def GetProcessOffsetGraph(self): |
| """Returns a dict that maps each process type to a list of processes's |
| call graph data. |
| |
| Typical process type keys are 'gpu-process', 'renderer', 'browser'. |
| """ |
| graph_by_process = collections.defaultdict(list) |
| for f in self._filenames: |
| process_info = self._ReadJSON(f) |
| assert ('total_calls_count' in process_info |
| and 'call_graph' in process_info), ('Unexpected JSON format for ' |
| '%s.' % f) |
| self._SanityCheckAllCallsCapturedByTheInstrumentation(process_info) |
| graph_by_process[self._ProcessName(f)].append(process_info['call_graph']) |
| return graph_by_process |
| |
| def GetRunGroupOffsets(self, phase=None): |
| """Merges files from each run group and returns offset list for each. |
| |
| Args: |
| phase (int, optional) If present, restrict to this phase. |
| |
| Returns: |
| [ [int] ] List of offsets lists, each as from GetMergedOffsets. |
| """ |
| return [self._GetOffsetsForGroup(g) for g in self._GetRunGroups(phase)] |
| |
| def _GetOffsetsForGroup(self, filenames): |
| dumps = [self._ReadOffsets(f) for f in filenames] |
| seen_offsets = set() |
| result = [] |
| for dump in dumps: |
| for offset in dump: |
| if offset not in seen_offsets: |
| result.append(offset) |
| seen_offsets.add(offset) |
| return result |
| |
| def _GetRunGroups(self, phase=None): |
| if self._run_groups is None: |
| self._ComputeRunGroups() |
| return [g.Filenames(phase) for g in self._run_groups] |
| |
| @classmethod |
| def _ProcessName(cls, filename): |
| # The filename starts with 'profile-hitmap-' and ends with |
| # '-PID-TIMESTAMP.txt_X'. Anything in between is the process name. The |
| # browser has an empty process name, which is inserted here. |
| process_name_parts = os.path.basename(filename).split('-')[2:-2] |
| if not process_name_parts: |
| return 'browser' |
| return '-'.join(process_name_parts) |
| |
| @classmethod |
| def _Timestamp(cls, filename): |
| dash_index = filename.rindex('-') |
| dot_index = filename.rindex('.') |
| return int(filename[dash_index+1:dot_index]) |
| |
| @classmethod |
| def _Phase(cls, filename): |
| return int(filename.split('_')[-1]) |
| |
| def _ReadOffsets(self, filename): |
| return [int(x.strip()) for x in open(filename)] |
| |
| def _ReadJSON(self, filename): |
| with open(filename) as f: |
| file_content = json.load(f) |
| return file_content |
| |
| def _ComputeRunGroups(self): |
| self._run_groups = [] |
| for f in self._filenames: |
| for g in self._run_groups: |
| if g.IsCloseTo(f): |
| g.Add(f) |
| break |
| else: |
| g = self._RunGroup() |
| g.Add(f) |
| self._run_groups.append(g) |
| |
| # Some sanity checks on the run groups. |
| assert self._run_groups |
| if len(self._run_groups) < 5: |
| return # Small runs have too much variance for testing. |
| sizes = list(map(lambda g: len(g.Filenames()), self._run_groups)) |
| avg_size = sum(sizes) // len(self._run_groups) |
| num_outliers = len([s for s in sizes |
| if s > 1.5 * avg_size or s < 0.75 * avg_size]) |
| expected_outliers = 0.1 * len(self._run_groups) |
| assert num_outliers < expected_outliers, ( |
| 'Saw {} outliers instead of at most {} for average of {}'.format( |
| num_outliers, expected_outliers, avg_size)) |
| |
| |
| def GetReachedOffsetsFromDumpFiles(dump_filenames, library_filename): |
| """Produces a list of symbol offsets reached by the dumps. |
| |
| Args: |
| dump_filenames (str iterable) A list of dump filenames. |
| library_filename (str) The library file which the dumps refer to. |
| |
| Returns: |
| [int] A list of symbol offsets. This order of symbol offsets produced is |
| given by the deduplicated order of offsets found in dump_filenames (see |
| also MergeDumps(). |
| """ |
| dump = ProfileManager(dump_filenames).GetMergedOffsets() |
| if not dump: |
| logging.error('Empty dump, cannot continue: %s', '\n'.join(dump_filenames)) |
| return None |
| logging.info('Reached offsets = %d', len(dump)) |
| processor = SymbolOffsetProcessor(library_filename) |
| return processor.GetReachedOffsetsFromDump(dump) |
| |
| |
| def CreateArgumentParser(): |
| """Returns an ArgumentParser.""" |
| parser = argparse.ArgumentParser(description='Outputs reached symbols') |
| parser.add_argument('--instrumented-build-dir', type=str, |
| help='Path to the instrumented build', required=True) |
| parser.add_argument('--build-dir', type=str, help='Path to the build dir', |
| required=True) |
| parser.add_argument('--dumps', type=str, help='A comma-separated list of ' |
| 'files with instrumentation dumps', required=True) |
| parser.add_argument('--output', type=str, help='Output filename', |
| required=True) |
| parser.add_argument('--offsets-output', type=str, |
| help='Output filename for the symbol offsets', |
| required=False, default=None) |
| parser.add_argument('--library-name', default='libchrome.so', |
| help=('Chrome shared library name (usually libchrome.so ' |
| 'or libmonochrome.so')) |
| return parser |
| |
| |
| def main(): |
| logging.basicConfig(level=logging.INFO) |
| parser = CreateArgumentParser() |
| args = parser.parse_args() |
| logging.info('Merging dumps') |
| dump_files = args.dumps.split(',') |
| profile_manager = ProfileManager(dump_files) |
| dumps = profile_manager.GetMergedOffsets() |
| |
| instrumented_native_lib = os.path.join(args.instrumented_build_dir, |
| 'lib.unstripped', args.library_name) |
| regular_native_lib = os.path.join(args.build_dir, |
| 'lib.unstripped', args.library_name) |
| |
| instrumented_processor = SymbolOffsetProcessor(instrumented_native_lib) |
| |
| reached_offsets = instrumented_processor.GetReachedOffsetsFromDump(dumps) |
| if args.offsets_output: |
| with open(args.offsets_output, 'w') as f: |
| f.write('\n'.join(map(str, reached_offsets))) |
| logging.info('Reached Offsets = %d', len(reached_offsets)) |
| |
| primary_map = instrumented_processor.OffsetToPrimaryMap() |
| reached_primary_symbols = set( |
| primary_map[offset] for offset in reached_offsets) |
| logging.info('Reached symbol names = %d', len(reached_primary_symbols)) |
| |
| regular_processor = SymbolOffsetProcessor(regular_native_lib) |
| matched_in_regular_build = regular_processor.MatchSymbolNames( |
| s.name for s in reached_primary_symbols) |
| logging.info('Matched symbols = %d', len(matched_in_regular_build)) |
| total_size = sum(s.size for s in matched_in_regular_build) |
| logging.info('Total reached size = %d', total_size) |
| |
| with open(args.output, 'w') as f: |
| for s in matched_in_regular_build: |
| f.write(s.name + '\n') |
| |
| |
| if __name__ == '__main__': |
| main() |
