kernel_optimize_test/scripts/clang-tools/run-clang-tools.py
Masahiro Yamada 9427906999 scripts/clang-tools: switch explicitly to Python 3
commit 074075aea2ff72dade5231b4ee9f2ab9a055f1ec upstream.

For the same reason as commit 51839e29cb59 ("scripts: switch explicitly
to Python 3"), switch some more scripts, which I tested and confirmed
working on Python 3.

Signed-off-by: Masahiro Yamada <masahiroy@kernel.org>
Acked-by: Nathan Chancellor <nathan@kernel.org>
Signed-off-by: Greg Kroah-Hartman <gregkh@linuxfoundation.org>
2021-06-03 09:00:52 +02:00

75 lines
1.9 KiB
Python
Executable File

#!/usr/bin/env python3
# SPDX-License-Identifier: GPL-2.0
#
# Copyright (C) Google LLC, 2020
#
# Author: Nathan Huckleberry <nhuck@google.com>
#
"""A helper routine run clang-tidy and the clang static-analyzer on
compile_commands.json.
"""
import argparse
import json
import multiprocessing
import os
import subprocess
import sys
def parse_arguments():
"""Set up and parses command-line arguments.
Returns:
args: Dict of parsed args
Has keys: [path, type]
"""
usage = """Run clang-tidy or the clang static-analyzer on a
compilation database."""
parser = argparse.ArgumentParser(description=usage)
type_help = "Type of analysis to be performed"
parser.add_argument("type",
choices=["clang-tidy", "clang-analyzer"],
help=type_help)
path_help = "Path to the compilation database to parse"
parser.add_argument("path", type=str, help=path_help)
return parser.parse_args()
def init(l, a):
global lock
global args
lock = l
args = a
def run_analysis(entry):
# Disable all checks, then re-enable the ones we want
checks = "-checks=-*,"
if args.type == "clang-tidy":
checks += "linuxkernel-*"
else:
checks += "clang-analyzer-*"
p = subprocess.run(["clang-tidy", "-p", args.path, checks, entry["file"]],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
cwd=entry["directory"])
with lock:
sys.stderr.buffer.write(p.stdout)
def main():
args = parse_arguments()
lock = multiprocessing.Lock()
pool = multiprocessing.Pool(initializer=init, initargs=(lock, args))
# Read JSON data into the datastore variable
with open(args.path, "r") as f:
datastore = json.load(f)
pool.map(run_analysis, datastore)
if __name__ == "__main__":
main()