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git://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git
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04518e4c2e
Convert list of clang-tidy arguments to a list for ease of adding to them and extending them as required. Signed-off-by: Guru Das Srinagesh <quic_gurus@quicinc.com> Suggested-by: Nick Desaulniers <ndesaulniers@google.com> Reviewed-by: Nick Desaulniers <ndesaulniers@google.com> Signed-off-by: Masahiro Yamada <masahiroy@kernel.org>
75 lines
2 KiB
Python
Executable file
75 lines
2 KiB
Python
Executable file
#!/usr/bin/env python3
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# SPDX-License-Identifier: GPL-2.0
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#
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# Copyright (C) Google LLC, 2020
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#
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# Author: Nathan Huckleberry <nhuck@google.com>
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#
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"""A helper routine run clang-tidy and the clang static-analyzer on
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compile_commands.json.
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"""
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import argparse
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import json
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import multiprocessing
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import subprocess
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import sys
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def parse_arguments():
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"""Set up and parses command-line arguments.
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Returns:
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args: Dict of parsed args
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Has keys: [path, type]
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"""
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usage = """Run clang-tidy or the clang static-analyzer on a
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compilation database."""
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parser = argparse.ArgumentParser(description=usage)
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type_help = "Type of analysis to be performed"
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parser.add_argument("type",
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choices=["clang-tidy", "clang-analyzer"],
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help=type_help)
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path_help = "Path to the compilation database to parse"
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parser.add_argument("path", type=str, help=path_help)
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return parser.parse_args()
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def init(l, a):
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global lock
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global args
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lock = l
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args = a
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def run_analysis(entry):
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# Disable all checks, then re-enable the ones we want
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checks = []
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checks.append("-checks=-*")
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if args.type == "clang-tidy":
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checks.append("linuxkernel-*")
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else:
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checks.append("clang-analyzer-*")
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checks.append("-clang-analyzer-security.insecureAPI.DeprecatedOrUnsafeBufferHandling")
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p = subprocess.run(["clang-tidy", "-p", args.path, ",".join(checks), entry["file"]],
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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cwd=entry["directory"])
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with lock:
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sys.stderr.buffer.write(p.stdout)
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def main():
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args = parse_arguments()
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lock = multiprocessing.Lock()
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pool = multiprocessing.Pool(initializer=init, initargs=(lock, args))
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# Read JSON data into the datastore variable
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with open(args.path, "r") as f:
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datastore = json.load(f)
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pool.map(run_analysis, datastore)
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if __name__ == "__main__":
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main()
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