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summarize_sizes.py
executable file
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summarize_sizes.py
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#!/usr/bin/python
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# -*- coding: utf-8 -*-
""" Executable section size analysis.
This script analyzes the size of an executable by section.
The 'measure' command may be given to print size metrics about a single executable,
as JSON.
Alternatively, the 'compare' command may be given to print size differences two files,
which may be either an executable, or JSON output.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import argparse
import json
import math
import os
import re
import subprocess
import sys
from collections import OrderedDict
JSON_INDENT = 2
METRIC_KEYS = ["filesize", "rw_data", "ro_data", "code", "bss", "symbols", "unwind"]
def metric_key_for_section_name(secname):
"""Returns an attribute name for the given section name, or None
Note that not all sections are represented.
"""
if secname in ["text", "init_array", "fini_array"]:
return "code"
elif secname in ["const", "cstring", "ustring"]:
return "ro_data"
elif secname in ["data", "thread_vars", "data.rel.ro"]:
return "rw_data"
elif secname in ["bss", "thread_bss", "tbss", "dynamic"]:
return "bss"
elif secname in [
"stub_helper",
"stubs",
"nl_symbol_ptr",
"la_symbol_ptr",
"gnu.hash",
"dynsym",
"dynstr",
"rela.dyn",
"rela.plt",
"got",
"got.plt",
]:
return "symbols"
elif secname in ["eh_frame_hdr", "eh_frame", "unwind_info"]:
return "unwind"
else:
return None
def measure_executable(path):
"""Invoke `size` and parse its output, returning a dictionary.
On Darwin, the interesting lines look like:
.rodata 366252 5048448
On Linux:
__const 25808 4295726400
"""
metrics = {key: 0 for key in METRIC_KEYS}
reg = re.compile(
r"""[._]+ # Leading period or underscore
([a-z_]+)\s+ # Section name
(\d+)\s+ # Section size
(\d+)\s* # Section address
""",
re.X,
)
text = subprocess.check_output(["size", "-A", "-d", path])
for line in text.split("\n"):
match = reg.match(line)
if not match:
continue
secname, secsize = match.group(1, 2)
key = metric_key_for_section_name(secname)
if key:
metrics[key] += int(secsize)
# Add __LINKEDIT on Darwin, available through size -m
if sys.platform == "darwin":
m_output = subprocess.check_output(["size", "-m", "-d", path])
linkedit_match = re.search(r"__LINKEDIT: (\d+)", m_output)
if linkedit_match:
metrics["symbols"] += int(linkedit_match.group(1))
# Humanize and order the resulting metrics
result = OrderedDict()
for (key, size) in metrics.items():
result[key] = human_readable_size(size)
result["name"] = os.path.basename(path)
result["sha1"] = subprocess.check_output(["openssl", "sha1", path]).split()[1]
result["filesize"] = human_readable_size(os.path.getsize(path))
return result
def human_readable_size(size, show_sign=False):
"""Return a human-readable string for a given byte size.
If show_sign is set, write positive numbers with a leading + sign.
"""
if size == 0:
return "0"
units = ["B", "KiB", "MiB", "GiB", "TiB", "PiB", "EiB", "ZiB", "YiB"]
p = math.floor(math.log(abs(size), 2) / 10)
maybe_plus = "+" if size > 0 and show_sign else ""
amt = size / math.pow(1024, p)
return "%d (%s%.1f %s)" % (size, maybe_plus, amt, units[int(p)])
def compare_metrics(before_metrics, after_metrics):
"""Given before and after metrics, return a dictionary describing
their differences."""
result = OrderedDict()
for key in METRIC_KEYS:
# Extract the leading byte count from the humanized string
before = int(before_metrics[key].split()[0])
after = int(after_metrics[key].split()[0])
result[key] = human_readable_size(after - before, show_sign=True)
return result
def read_or_measure_metrics(path):
"""Given a path (which may be to a JSON file or an executable),
return the metrics.
"""
try:
with open(path) as path_fd:
return json.load(path_fd)
except ValueError:
return measure_executable(path)
def subcommand_compare(args):
"""Implementation of compare subcommand
Compares two files (JSON or executables) specified in args.FILES
"""
before_path, after_path = args.FILES
before_metrics = read_or_measure_metrics(before_path)
after_metrics = read_or_measure_metrics(after_path)
diffs = compare_metrics(before_metrics, after_metrics)
print(json.dumps(diffs, indent=JSON_INDENT))
def subcommand_measure(args):
"""Implementation of measure subcommand
Collects metrics about the files specified in args.FILES
"""
for argfile in args.FILES:
metrics = measure_executable(argfile)
print(json.dumps(metrics, indent=JSON_INDENT))
USAGE = r"""summarize_sizes.py measure FILE [FILE...]
summarize_sizes.py compare BEFORE_FILE AFTER_FILE
In its first form, output a JSON description of metrics of the given file.
In its second form, output a JSON description of the differences of the two
files (which may be JSON descriptions from previous runs, or executables).
"""
if __name__ == "__main__":
parser = argparse.ArgumentParser(usage=USAGE)
subparsers = parser.add_subparsers()
measure_parser = subparsers.add_parser("measure")
measure_parser.add_argument("FILES", nargs="+")
measure_parser.set_defaults(func=subcommand_measure)
compare_parser = subparsers.add_parser("compare")
compare_parser.add_argument("FILES", nargs=2)
compare_parser.set_defaults(func=subcommand_compare)
pargs = parser.parse_args()
pargs.func(pargs)