v8/tools/callstats.py

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#!/usr/bin/env python
# Copyright 2016 the V8 project authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
'''
Usage: callstats.py [-h] <command> ...
Optional arguments:
-h, --help show this help message and exit
Commands:
run run chrome with --runtime-call-stats and generate logs
stats process logs and print statistics
json process logs from several versions and generate JSON
help help information
For each command, you can try ./runtime-call-stats.py help command.
'''
# for py2/py3 compatibility
from __future__ import print_function
import argparse
import json
import os
import re
import shutil
import subprocess
import sys
import tempfile
import operator
import numpy
import scipy
import scipy.stats
from math import sqrt
MAX_NOF_RETRIES = 5
# Run benchmarks.
def print_command(cmd_args):
def fix_for_printing(arg):
m = re.match(r'^--([^=]+)=(.*)$', arg)
if m and (' ' in m.group(2) or m.group(2).startswith('-')):
arg = "--{}='{}'".format(m.group(1), m.group(2))
elif ' ' in arg:
arg = "'{}'".format(arg)
return arg
print(" ".join(map(fix_for_printing, cmd_args)))
def start_replay_server(args, sites, discard_output=True):
with tempfile.NamedTemporaryFile(prefix='callstats-inject-', suffix='.js',
mode='wt', delete=False) as f:
injection = f.name
generate_injection(f, sites, args.refresh)
http_port = 4080 + args.port_offset
https_port = 4443 + args.port_offset
cmd_args = [
args.replay_bin,
"--port=%s" % http_port,
"--ssl_port=%s" % https_port,
"--no-dns_forwarding",
"--use_closest_match",
"--no-diff_unknown_requests",
"--inject_scripts=deterministic.js,{}".format(injection),
args.replay_wpr,
]
print("=" * 80)
print_command(cmd_args)
if discard_output:
with open(os.devnull, 'w') as null:
server = subprocess.Popen(cmd_args, stdout=null, stderr=null)
else:
server = subprocess.Popen(cmd_args)
print("RUNNING REPLAY SERVER: %s with PID=%s" % (args.replay_bin, server.pid))
print("=" * 80)
return {'process': server, 'injection': injection}
def stop_replay_server(server):
print("SHUTTING DOWN REPLAY SERVER %s" % server['process'].pid)
server['process'].terminate()
os.remove(server['injection'])
def generate_injection(f, sites, refreshes=0):
print("""\
(function() {
var s = window.sessionStorage.getItem("refreshCounter");
var refreshTotal = """, refreshes, """;
var refreshCounter = s ? parseInt(s) : refreshTotal;
var refreshId = refreshTotal - refreshCounter;
if (refreshCounter > 0) {
window.sessionStorage.setItem("refreshCounter", refreshCounter-1);
}
function match(url, item) {
if ('regexp' in item) { return url.match(item.regexp) !== null };
var url_wanted = item.url;
/* Allow automatic redirections from http to https. */
if (url_wanted.startsWith("http://") && url.startsWith("https://")) {
url_wanted = "https://" + url_wanted.substr(7);
}
return url.startsWith(url_wanted);
};
function onLoad(url) {
for (var item of sites) {
if (!match(url, item)) continue;
var timeout = 'timeline' in item ? 2000 * item.timeline
: 'timeout' in item ? 1000 * (item.timeout - 3)
: 10000;
console.log("Setting time out of " + timeout + " for: " + url);
window.setTimeout(function() {
console.log("Time is out for: " + url);
var msg = "STATS: (" + refreshId + ") " + url;
%GetAndResetRuntimeCallStats(1, msg);
if (refreshCounter > 0) {
console.log(
"Refresh counter is " + refreshCounter + ", refreshing: " + url);
window.location.reload();
}
}, timeout);
return;
}
console.log("Ignoring: " + url);
};
var sites =
""", json.dumps(sites), """;
onLoad(window.location.href);
})();""", file=f)
def get_chrome_flags(js_flags, user_data_dir, arg_delimiter=""):
return [
"--no-default-browser-check",
"--no-sandbox",
"--disable-translate",
"--enable-benchmarking",
"--enable-stats-table",
"--js-flags={}{}{}".format(arg_delimiter, js_flags, arg_delimiter),
"--no-first-run",
"--user-data-dir={}{}{}".format(arg_delimiter, user_data_dir,
arg_delimiter),
"--data-path={}{}{}".format(arg_delimiter,
os.path.join(user_data_dir, 'content-shell-data'), arg_delimiter),
]
def get_chrome_replay_flags(args, arg_delimiter=""):
http_port = 4080 + args.port_offset
https_port = 4443 + args.port_offset
return [
"--host-resolver-rules=%sMAP *:80 localhost:%s, " \
"MAP *:443 localhost:%s, " \
"EXCLUDE localhost%s" % (
arg_delimiter, http_port, https_port,
arg_delimiter),
"--ignore-certificate-errors",
"--disable-seccomp-sandbox",
"--disable-web-security",
"--reduce-security-for-testing",
"--allow-insecure-localhost",
]
def run_site(site, domain, args, timeout=None):
print("="*80)
print("RUNNING DOMAIN %s" % domain)
print("="*80)
result_template = "{domain}#{count}.txt" if args.repeat else "{domain}.txt"
count = 0
if timeout is None: timeout = args.timeout
if args.replay_wpr:
timeout *= 1 + args.refresh
timeout += 1
retries_since_good_run = 0
while count == 0 or args.repeat is not None and count < args.repeat:
count += 1
result = result_template.format(domain=domain, count=count)
retries = 0
while args.retries is None or retries < args.retries:
retries += 1
try:
if args.user_data_dir:
user_data_dir = args.user_data_dir
else:
user_data_dir = tempfile.mkdtemp(prefix="chr_")
js_flags = "--runtime-call-stats"
if args.replay_wpr: js_flags += " --allow-natives-syntax"
if args.js_flags: js_flags += " " + args.js_flags
chrome_flags = get_chrome_flags(js_flags, user_data_dir)
if args.replay_wpr:
chrome_flags += get_chrome_replay_flags(args)
else:
chrome_flags += [ "--single-process", ]
if args.chrome_flags:
chrome_flags += args.chrome_flags.split()
cmd_args = [
"timeout", str(timeout),
args.with_chrome
] + chrome_flags + [ site ]
print("- " * 40)
print_command(cmd_args)
print("- " * 40)
with open(result, "wt") as f:
with open(args.log_stderr or os.devnull, 'at') as err:
status = subprocess.call(cmd_args, stdout=f, stderr=err)
# 124 means timeout killed chrome, 0 means the user was bored first!
# If none of these two happened, then chrome apparently crashed, so
# it must be called again.
if status != 124 and status != 0:
print("CHROME CRASHED, REPEATING RUN");
continue
# If the stats file is empty, chrome must be called again.
if os.path.isfile(result) and os.path.getsize(result) > 0:
if args.print_url:
with open(result, "at") as f:
print(file=f)
print("URL: {}".format(site), file=f)
retries_since_good_run = 0
break
if retries_since_good_run > MAX_NOF_RETRIES:
# Abort after too many retries, no point in ever increasing the
# timeout.
print("TOO MANY EMPTY RESULTS ABORTING RUN")
return
timeout += 2 ** retries_since_good_run
retries_since_good_run += 1
print("EMPTY RESULT, REPEATING RUN ({})".format(
retries_since_good_run));
finally:
if not args.user_data_dir:
shutil.rmtree(user_data_dir)
def read_sites_file(args):
try:
sites = []
try:
with open(args.sites_file, "rt") as f:
for item in json.load(f):
if 'timeout' not in item:
# This is more-or-less arbitrary.
item['timeout'] = int(1.5 * item['timeline'] + 7)
if item['timeout'] > args.timeout: item['timeout'] = args.timeout
sites.append(item)
except ValueError:
args.error("Warning: Could not read sites file as JSON, falling back to "
"primitive file")
with open(args.sites_file, "rt") as f:
for line in f:
line = line.strip()
if not line or line.startswith('#'): continue
sites.append({'url': line, 'timeout': args.timeout})
return sites
except IOError as e:
args.error("Cannot read from {}. {}.".format(args.sites_file, e.strerror))
sys.exit(1)
def read_sites(args):
# Determine the websites to benchmark.
if args.sites_file:
return read_sites_file(args)
return [{'url': site, 'timeout': args.timeout} for site in args.sites]
def do_run(args):
sites = read_sites(args)
replay_server = start_replay_server(args, sites) if args.replay_wpr else None
# Disambiguate domains, if needed.
L = []
domains = {}
for item in sites:
site = item['url']
domain = None
if args.domain:
domain = args.domain
elif 'domain' in item:
domain = item['domain']
else:
m = re.match(r'^(https?://)?([^/]+)(/.*)?$', site)
if not m:
args.error("Invalid URL {}.".format(site))
continue
domain = m.group(2)
entry = [site, domain, None, item['timeout']]
if domain not in domains:
domains[domain] = entry
else:
if not isinstance(domains[domain], int):
domains[domain][2] = 1
domains[domain] = 1
domains[domain] += 1
entry[2] = domains[domain]
L.append(entry)
try:
# Run them.
for site, domain, count, timeout in L:
if count is not None: domain = "{}%{}".format(domain, count)
print((site, domain, timeout))
run_site(site, domain, args, timeout)
finally:
if replay_server:
stop_replay_server(replay_server)
def do_run_replay_server(args):
sites = read_sites(args)
print("- " * 40)
print("Available URLs:")
for site in sites:
print(" "+site['url'])
print("- " * 40)
print("Launch chromium with the following commands for debugging:")
flags = get_chrome_flags("--runtime-call-stats --allow-natives-syntax",
"/var/tmp/`date +%s`", '"')
flags += get_chrome_replay_flags(args, "'")
print(" $CHROMIUM_DIR/out/Release/chrome " + (" ".join(flags)) + " <URL>")
print("- " * 40)
replay_server = start_replay_server(args, sites, discard_output=False)
try:
replay_server['process'].wait()
finally:
stop_replay_server(replay_server)
# Calculate statistics.
def statistics(data):
N = len(data)
average = numpy.average(data)
median = numpy.median(data)
low = numpy.min(data)
high= numpy.max(data)
if N > 1:
# evaluate sample variance by setting delta degrees of freedom (ddof) to
# 1. The degree used in calculations is N - ddof
stddev = numpy.std(data, ddof=1)
# Get the endpoints of the range that contains 95% of the distribution
t_bounds = scipy.stats.t.interval(0.95, N-1)
#assert abs(t_bounds[0] + t_bounds[1]) < 1e-6
# sum mean to the confidence interval
ci = {
'abs': t_bounds[1] * stddev / sqrt(N),
'low': average + t_bounds[0] * stddev / sqrt(N),
'high': average + t_bounds[1] * stddev / sqrt(N)
}
else:
stddev = 0
ci = { 'abs': 0, 'low': average, 'high': average }
if abs(stddev) > 0.0001 and abs(average) > 0.0001:
ci['perc'] = t_bounds[1] * stddev / sqrt(N) / average * 100
else:
ci['perc'] = 0
return { 'samples': N, 'average': average, 'median': median,
'stddev': stddev, 'min': low, 'max': high, 'ci': ci }
def add_category_total(entries, groups, category_prefix):
group_data = { 'time': 0, 'count': 0 }
for group_name, regexp in groups:
if not group_name.startswith('Group-' + category_prefix): continue
group_data['time'] += entries[group_name]['time']
group_data['count'] += entries[group_name]['count']
entries['Group-' + category_prefix + '-Total'] = group_data
def read_stats(path, domain, args):
groups = [];
if args.aggregate:
groups = [
('Group-IC', re.compile(".*IC_.*")),
('Group-OptimizeBackground',
re.compile(".*OptimizeConcurrent.*|RecompileConcurrent.*")),
('Group-Optimize',
re.compile("StackGuard|.*Optimize.*|.*Deoptimize.*|Recompile.*")),
('Group-CompileBackground', re.compile("(.*CompileBackground.*)")),
('Group-Compile', re.compile("(^Compile.*)|(.*_Compile.*)")),
('Group-ParseBackground', re.compile(".*ParseBackground.*")),
('Group-Parse', re.compile(".*Parse.*")),
('Group-Callback', re.compile(".*Callback.*")),
('Group-API', re.compile(".*API.*")),
('Group-GC-Custom', re.compile("GC_Custom_.*")),
('Group-GC-Background', re.compile(".*GC.*BACKGROUND.*")),
('Group-GC', re.compile("GC_.*|AllocateInTargetSpace")),
('Group-JavaScript', re.compile("JS_Execution")),
('Group-Runtime', re.compile(".*"))]
with open(path, "rt") as f:
# Process the whole file and sum repeating entries.
entries = { 'Sum': {'time': 0, 'count': 0} }
for group_name, regexp in groups:
entries[group_name] = { 'time': 0, 'count': 0 }
for line in f:
line = line.strip()
# Discard headers and footers.
if not line: continue
if line.startswith("Runtime Function"): continue
if line.startswith("===="): continue
if line.startswith("----"): continue
if line.startswith("URL:"): continue
if line.startswith("STATS:"): continue
# We have a regular line.
fields = line.split()
key = fields[0]
time = float(fields[1].replace("ms", ""))
count = int(fields[3])
if key not in entries: entries[key] = { 'time': 0, 'count': 0 }
entries[key]['time'] += time
entries[key]['count'] += count
# We calculate the sum, if it's not the "total" line.
if key != "Total":
entries['Sum']['time'] += time
entries['Sum']['count'] += count
for group_name, regexp in groups:
if not regexp.match(key): continue
entries[group_name]['time'] += time
entries[group_name]['count'] += count
break
# Calculate the V8-Total (all groups except Callback)
group_data = { 'time': 0, 'count': 0 }
for group_name, regexp in groups:
if group_name == 'Group-Callback': continue
group_data['time'] += entries[group_name]['time']
group_data['count'] += entries[group_name]['count']
entries['Group-Total-V8'] = group_data
# Calculate the Parse-Total, Compile-Total and Optimize-Total groups
add_category_total(entries, groups, 'Parse')
add_category_total(entries, groups, 'Compile')
add_category_total(entries, groups, 'Optimize')
# Append the sums as single entries to domain.
for key in entries:
if key not in domain: domain[key] = { 'time_list': [], 'count_list': [] }
domain[key]['time_list'].append(entries[key]['time'])
domain[key]['count_list'].append(entries[key]['count'])
def print_stats(S, args):
# Sort by ascending/descending time average, then by ascending/descending
# count average, then by ascending name.
def sort_asc_func(item):
return (item[1]['time_stat']['average'],
item[1]['count_stat']['average'],
item[0])
def sort_desc_func(item):
return (-item[1]['time_stat']['average'],
-item[1]['count_stat']['average'],
item[0])
# Sorting order is in the commend-line arguments.
sort_func = sort_asc_func if args.sort == "asc" else sort_desc_func
# Possibly limit how many elements to print.
L = [item for item in sorted(S.items(), key=sort_func)
if item[0] not in ["Total", "Sum"]]
N = len(L)
if args.limit == 0:
low, high = 0, N
elif args.sort == "desc":
low, high = 0, args.limit
else:
low, high = N-args.limit, N
# How to print entries.
def print_entry(key, value):
def stats(s, units=""):
conf = "{:0.1f}({:0.2f}%)".format(s['ci']['abs'], s['ci']['perc'])
return "{:8.1f}{} +/- {:15s}".format(s['average'], units, conf)
print("{:>50s} {} {}".format(
key,
stats(value['time_stat'], units="ms"),
stats(value['count_stat'])
))
# Print and calculate partial sums, if necessary.
for i in range(low, high):
print_entry(*L[i])
if args.totals and args.limit != 0 and not args.aggregate:
if i == low:
partial = { 'time_list': [0] * len(L[i][1]['time_list']),
'count_list': [0] * len(L[i][1]['count_list']) }
assert len(partial['time_list']) == len(L[i][1]['time_list'])
assert len(partial['count_list']) == len(L[i][1]['count_list'])
for j, v in enumerate(L[i][1]['time_list']):
partial['time_list'][j] += v
for j, v in enumerate(L[i][1]['count_list']):
partial['count_list'][j] += v
# Print totals, if necessary.
if args.totals:
print('-' * 80)
if args.limit != 0 and not args.aggregate:
partial['time_stat'] = statistics(partial['time_list'])
partial['count_stat'] = statistics(partial['count_list'])
print_entry("Partial", partial)
print_entry("Sum", S["Sum"])
print_entry("Total", S["Total"])
def do_stats(args):
domains = {}
for path in args.logfiles:
filename = os.path.basename(path)
m = re.match(r'^([^#]+)(#.*)?$', filename)
domain = m.group(1)
if domain not in domains: domains[domain] = {}
read_stats(path, domains[domain], args)
if args.aggregate:
create_total_page_stats(domains, args)
for i, domain in enumerate(sorted(domains)):
if len(domains) > 1:
if i > 0: print()
print("{}:".format(domain))
print('=' * 80)
domain_stats = domains[domain]
for key in domain_stats:
domain_stats[key]['time_stat'] = \
statistics(domain_stats[key]['time_list'])
domain_stats[key]['count_stat'] = \
statistics(domain_stats[key]['count_list'])
print_stats(domain_stats, args)
# Create a Total page with all entries summed up.
def create_total_page_stats(domains, args):
total = {}
def sum_up(parent, key, other):
sums = parent[key]
for i, item in enumerate(other[key]):
if i >= len(sums):
sums.extend([0] * (i - len(sums) + 1))
if item is not None:
sums[i] += item
# Exclude adwords and speedometer pages from aggrigate total, since adwords
# dominates execution time and speedometer is measured elsewhere.
excluded_domains = ['adwords.google.com', 'speedometer-angular',
'speedometer-jquery', 'speedometer-backbone',
'speedometer-ember', 'speedometer-vanilla'];
# Sum up all the entries/metrics from all non-excluded domains
for domain, entries in domains.items():
if domain in excluded_domains:
continue;
for key, domain_stats in entries.items():
if key not in total:
total[key] = {}
total[key]['time_list'] = list(domain_stats['time_list'])
total[key]['count_list'] = list(domain_stats['count_list'])
else:
sum_up(total[key], 'time_list', domain_stats)
sum_up(total[key], 'count_list', domain_stats)
# Add a new "Total" page containing the summed up metrics.
domains['Total'] = total
# Generate JSON file.
def do_json(args):
versions = {}
for path in args.logdirs:
if os.path.isdir(path):
for root, dirs, files in os.walk(path):
version = os.path.basename(root)
if version not in versions: versions[version] = {}
for filename in files:
if filename.endswith(".txt"):
m = re.match(r'^([^#]+)(#.*)?\.txt$', filename)
domain = m.group(1)
if domain not in versions[version]: versions[version][domain] = {}
read_stats(os.path.join(root, filename),
versions[version][domain], args)
for version, domains in versions.items():
if args.aggregate:
create_total_page_stats(domains, args)
for domain, entries in domains.items():
stats = []
for name, value in entries.items():
# We don't want the calculated sum in the JSON file.
if name == "Sum": continue
entry = [name]
for x in ['time_list', 'count_list']:
s = statistics(entries[name][x])
entry.append(round(s['average'], 1))
entry.append(round(s['ci']['abs'], 1))
entry.append(round(s['ci']['perc'], 2))
stats.append(entry)
domains[domain] = stats
print(json.dumps(versions, separators=(',', ':')))
# Help.
def do_help(parser, subparsers, args):
if args.help_cmd:
if args.help_cmd in subparsers:
subparsers[args.help_cmd].print_help()
else:
args.error("Unknown command '{}'".format(args.help_cmd))
else:
parser.print_help()
# Main program, parse command line and execute.
def coexist(*l):
given = sum(1 for x in l if x)
return given == 0 or given == len(l)
def main():
parser = argparse.ArgumentParser()
subparser_adder = parser.add_subparsers(title="commands", dest="command",
metavar="<command>")
subparsers = {}
# Command: run.
subparsers["run"] = subparser_adder.add_parser(
"run", help="Replay websites and collect runtime stats data.")
subparsers["run"].set_defaults(
func=do_run, error=subparsers["run"].error)
subparsers["run"].add_argument(
"--chrome-flags", type=str, default="",
help="specify additional chrome flags")
subparsers["run"].add_argument(
"--js-flags", type=str, default="",
help="specify additional V8 flags")
subparsers["run"].add_argument(
"-u", "--user-data-dir", type=str, metavar="<path>",
help="specify user data dir (default is temporary)")
subparsers["run"].add_argument(
"-c", "--with-chrome", type=str, metavar="<path>",
default="/usr/bin/google-chrome",
help="specify chrome executable to use")
subparsers["run"].add_argument(
"-r", "--retries", type=int, metavar="<num>",
help="specify retries if website is down (default: forever)")
subparsers["run"].add_argument(
"--no-url", dest="print_url", action="store_false", default=True,
help="do not include url in statistics file")
subparsers["run"].add_argument(
"--domain", type=str, default="",
help="specify the output file domain name")
subparsers["run"].add_argument(
"-n", "--repeat", type=int, metavar="<num>",
help="specify iterations for each website (default: once)")
def add_replay_args(subparser):
subparser.add_argument(
"-k", "--refresh", type=int, metavar="<num>", default=0,
help="specify refreshes for each iteration (default: 0)")
subparser.add_argument(
"--replay-wpr", type=str, metavar="<path>",
help="use the specified web page replay (.wpr) archive")
subparser.add_argument(
"--replay-bin", type=str, metavar="<path>",
help="specify the replay.py script typically located in " \
"$CHROMIUM/src/third_party/webpagereplay/replay.py")
subparser.add_argument(
"-f", "--sites-file", type=str, metavar="<path>",
help="specify file containing benchmark websites")
subparser.add_argument(
"-t", "--timeout", type=int, metavar="<seconds>", default=60,
help="specify seconds before chrome is killed")
subparser.add_argument(
"-p", "--port-offset", type=int, metavar="<offset>", default=0,
help="specify the offset for the replay server's default ports")
subparser.add_argument(
"-l", "--log-stderr", type=str, metavar="<path>",
help="specify where chrome's stderr should go (default: /dev/null)")
subparser.add_argument(
"--sites", type=str, metavar="<URL>", nargs="*",
help="specify benchmark website")
add_replay_args(subparsers["run"])
# Command: replay-server
subparsers["replay"] = subparser_adder.add_parser(
"replay", help="Run the replay server for debugging purposes")
subparsers["replay"].set_defaults(
func=do_run_replay_server, error=subparsers["replay"].error)
add_replay_args(subparsers["replay"])
# Command: stats.
subparsers["stats"] = subparser_adder.add_parser(
"stats", help="Analize the results file create by the 'run' command.")
subparsers["stats"].set_defaults(
func=do_stats, error=subparsers["stats"].error)
subparsers["stats"].add_argument(
"-l", "--limit", type=int, metavar="<num>", default=0,
help="limit how many items to print (default: none)")
subparsers["stats"].add_argument(
"-s", "--sort", choices=["asc", "desc"], default="asc",
help="specify sorting order (default: ascending)")
subparsers["stats"].add_argument(
"-n", "--no-total", dest="totals", action="store_false", default=True,
help="do not print totals")
subparsers["stats"].add_argument(
"logfiles", type=str, metavar="<logfile>", nargs="*",
help="specify log files to parse")
subparsers["stats"].add_argument(
"--aggregate", dest="aggregate", action="store_true", default=False,
help="Create aggregated entries. Adds Group-* entries at the toplevel. " \
"Additionally creates a Total page with all entries.")
# Command: json.
subparsers["json"] = subparser_adder.add_parser(
"json", help="Collect results file created by the 'run' command into" \
"a single json file.")
subparsers["json"].set_defaults(
func=do_json, error=subparsers["json"].error)
subparsers["json"].add_argument(
"logdirs", type=str, metavar="<logdir>", nargs="*",
help="specify directories with log files to parse")
subparsers["json"].add_argument(
"--aggregate", dest="aggregate", action="store_true", default=False,
help="Create aggregated entries. Adds Group-* entries at the toplevel. " \
"Additionally creates a Total page with all entries.")
# Command: help.
subparsers["help"] = subparser_adder.add_parser(
"help", help="help information")
subparsers["help"].set_defaults(
func=lambda args: do_help(parser, subparsers, args),
error=subparsers["help"].error)
subparsers["help"].add_argument(
"help_cmd", type=str, metavar="<command>", nargs="?",
help="command for which to display help")
# Execute the command.
args = parser.parse_args()
setattr(args, 'script_path', os.path.dirname(sys.argv[0]))
if args.command == "run" and coexist(args.sites_file, args.sites):
args.error("use either option --sites-file or site URLs")
sys.exit(1)
elif args.command == "run" and not coexist(args.replay_wpr, args.replay_bin):
args.error("options --replay-wpr and --replay-bin must be used together")
sys.exit(1)
else:
args.func(args)
if __name__ == "__main__":
sys.exit(main())