mirror of
https://github.com/denoland/deno.git
synced 2024-10-30 09:08:00 -04:00
280 lines
8.7 KiB
Python
Executable file
280 lines
8.7 KiB
Python
Executable file
#!/usr/bin/env python
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# Copyright 2018-2019 the Deno authors. All rights reserved. MIT license.
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# Performs benchmark and append data to //website/data.json.
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# If //website/data.json doesn't exist, this script tries to import it from
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# gh-pages branch.
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# To view the results locally run ./tools/http_server.py and visit
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# http://localhost:4545/website
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import os
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import sys
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import json
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import time
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import shutil
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from util import root_path, run, run_output, build_path, executable_suffix
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import tempfile
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import http_server
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import throughput_benchmark
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from http_benchmark import http_benchmark
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import prebuilt
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import subprocess
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# The list of the tuples of the benchmark name and arguments
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exec_time_benchmarks = [
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("hello", ["tests/002_hello.ts"]),
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("relative_import", ["tests/003_relative_import.ts"]),
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("error_001", ["tests/error_001.ts"]),
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("cold_hello", ["--reload", "tests/002_hello.ts"]),
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("cold_relative_import", ["--reload", "tests/003_relative_import.ts"]),
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("workers_startup", ["tests/workers_startup_bench.ts"]),
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("workers_round_robin", ["tests/workers_round_robin_bench.ts"]),
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]
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gh_pages_data_file = "gh-pages/data.json"
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all_data_file = "website/data.json" # Includes all benchmark data.
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recent_data_file = "website/recent.json" # Includes recent 20 benchmark data.
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def read_json(filename):
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with open(filename) as json_file:
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return json.load(json_file)
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def write_json(filename, data):
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with open(filename, 'w') as outfile:
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json.dump(data, outfile)
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def import_data_from_gh_pages():
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if os.path.exists(all_data_file):
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return
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try:
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run([
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"git", "clone", "--depth", "1", "-b", "gh-pages",
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"https://github.com/denoland/deno.git", "gh-pages"
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])
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shutil.copy(gh_pages_data_file, all_data_file)
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except ValueError:
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write_json(all_data_file, []) # writes empty json data
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def get_binary_sizes(build_dir):
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path_dict = {
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"deno":
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os.path.join(build_dir, "deno" + executable_suffix),
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"main.js":
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os.path.join(build_dir, "gen/cli/bundle/main.js"),
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"main.js.map":
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os.path.join(build_dir, "gen/cli/bundle/main.js.map"),
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"compiler.js":
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os.path.join(build_dir, "gen/cli/bundle/compiler.js"),
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"compiler.js.map":
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os.path.join(build_dir, "gen/cli/bundle/compiler.js.map"),
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"snapshot_deno.bin":
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os.path.join(build_dir, "gen/cli/snapshot_deno.bin"),
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"snapshot_compiler.bin":
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os.path.join(build_dir, "gen/cli/snapshot_compiler.bin")
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}
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sizes = {}
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for name, path in path_dict.items():
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assert os.path.exists(path)
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sizes[name] = os.path.getsize(path)
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return sizes
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def get_strace_summary_text(test_args):
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f = tempfile.NamedTemporaryFile()
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cmd = ["strace", "-c", "-f", "-o", f.name] + test_args
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try:
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subprocess.check_output(cmd)
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except subprocess.CalledProcessError:
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pass
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return f.read()
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def strace_parse(summary_text):
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summary = {}
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# clear empty lines
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lines = list(filter(lambda x: x and x != "\n", summary_text.split("\n")))
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if len(lines) < 4:
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return {} # malformed summary
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lines, total_line = lines[2:-2], lines[-1]
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# data to dict for each line
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for line in lines:
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syscall_fields = line.split()
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syscall_name = syscall_fields[-1]
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syscall_dict = {}
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if 5 <= len(syscall_fields) <= 6:
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syscall_dict = {
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"% time": float(syscall_fields[0]),
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"seconds": float(syscall_fields[1]),
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"usecs/call": int(syscall_fields[2]),
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"calls": int(syscall_fields[3])
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}
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syscall_dict["errors"] = 0 if len(syscall_fields) < 6 else int(
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syscall_fields[4])
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summary[syscall_name] = syscall_dict
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# record overall (total) data
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total_fields = total_line.split()
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summary["total"] = {
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"% time": float(total_fields[0]),
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"seconds": float(total_fields[1]),
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"calls": int(total_fields[2]),
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"errors": int(total_fields[3])
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}
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return summary
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def get_strace_summary(test_args):
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return strace_parse(get_strace_summary_text(test_args))
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def run_throughput(deno_exe):
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m = {}
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m["100M_tcp"] = throughput_benchmark.tcp(deno_exe, 100)
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m["100M_cat"] = throughput_benchmark.cat(deno_exe, 100)
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m["10M_tcp"] = throughput_benchmark.tcp(deno_exe, 10)
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m["10M_cat"] = throughput_benchmark.cat(deno_exe, 10)
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return m
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# "thread_count" and "syscall_count" are both calculated here.
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def run_strace_benchmarks(deno_exe, new_data):
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thread_count = {}
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syscall_count = {}
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for (name, args) in exec_time_benchmarks:
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s = get_strace_summary([deno_exe, "run"] + args)
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thread_count[name] = s["clone"]["calls"] + 1
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syscall_count[name] = s["total"]["calls"]
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new_data["thread_count"] = thread_count
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new_data["syscall_count"] = syscall_count
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# Takes the output from "/usr/bin/time -v" as input and extracts the 'maximum
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# resident set size' and returns it in bytes.
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def find_max_mem_in_bytes(time_v_output):
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for line in time_v_output.split('\n'):
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if 'maximum resident set size (kbytes)' in line.lower():
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_, value = line.split(': ')
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return int(value) * 1024
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def run_max_mem_benchmark(deno_exe):
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results = {}
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for (name, args) in exec_time_benchmarks:
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cmd = ["/usr/bin/time", "-v", deno_exe, "run"] + args
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try:
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out = subprocess.check_output(cmd, stderr=subprocess.STDOUT)
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except subprocess.CalledProcessError:
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pass
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mem = find_max_mem_in_bytes(out)
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results[name] = mem
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return results
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def run_exec_time(deno_exe, build_dir):
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benchmark_file = os.path.join(build_dir, "hyperfine_results.json")
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hyperfine = prebuilt.load_hyperfine()
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run([
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hyperfine, "--ignore-failure", "--export-json", benchmark_file,
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"--warmup", "3"
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] + [
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deno_exe + " run " + " ".join(args)
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for [_, args] in exec_time_benchmarks
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])
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hyperfine_results = read_json(benchmark_file)
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results = {}
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for [[name, _], data] in zip(exec_time_benchmarks,
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hyperfine_results["results"]):
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results[name] = {
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"mean": data["mean"],
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"stddev": data["stddev"],
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"user": data["user"],
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"system": data["system"],
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"min": data["min"],
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"max": data["max"]
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}
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return results
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def run_http(build_dir, new_data):
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stats = http_benchmark(build_dir)
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new_data["req_per_sec"] = {k: v["req_per_sec"] for k, v in stats.items()}
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new_data["max_latency"] = {k: v["max_latency"] for k, v in stats.items()}
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def bundle_benchmark(deno_exe):
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bundles = {
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"file_server": "https://deno.land/std/http/file_server.ts",
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"gist": "https://deno.land/std/examples/gist.ts",
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}
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sizes = {}
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for name, url in bundles.items():
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# bundle
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run([deno_exe, "bundle", url])
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path = name + ".bundle.js"
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# get size of bundle
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assert os.path.exists(path)
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sizes[name] = os.path.getsize(path)
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# remove bundle
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os.remove(path)
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return sizes
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def main(argv):
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if len(argv) == 2:
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build_dir = sys.argv[1]
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elif len(argv) == 1:
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build_dir = build_path()
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else:
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print "Usage: tools/benchmark.py [build_dir]"
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sys.exit(1)
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sha1 = run_output(["git", "rev-parse", "HEAD"],
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exit_on_fail=True).out.strip()
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http_server.spawn()
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deno_exe = os.path.join(build_dir, "deno")
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os.chdir(root_path)
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import_data_from_gh_pages()
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new_data = {
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"created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ"),
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"sha1": sha1,
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}
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# TODO(ry) The "benchmark" benchmark should actually be called "exec_time".
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# When this is changed, the historical data in gh-pages branch needs to be
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# changed too.
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new_data["benchmark"] = run_exec_time(deno_exe, build_dir)
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new_data["binary_size"] = get_binary_sizes(build_dir)
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new_data["bundle_size"] = bundle_benchmark(deno_exe)
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# Cannot run throughput benchmark on windows because they don't have nc or
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# pipe.
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if os.name != 'nt':
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new_data["throughput"] = run_throughput(deno_exe)
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run_http(build_dir, new_data)
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if "linux" in sys.platform:
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run_strace_benchmarks(deno_exe, new_data)
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new_data["max_memory"] = run_max_mem_benchmark(deno_exe)
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print "===== <BENCHMARK RESULTS>"
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print json.dumps(new_data, indent=2)
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print "===== </BENCHMARK RESULTS>"
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all_data = read_json(all_data_file)
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all_data.append(new_data)
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write_json(all_data_file, all_data)
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write_json(recent_data_file, all_data[-20:])
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if __name__ == '__main__':
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main(sys.argv)
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