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https://gitee.com/milvus-io/milvus.git
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41d37f9648
Former-commit-id: 898c2c8b0b2cfdc1b8664062aa0ea910a93566dd
111 lines
3.4 KiB
Python
Executable File
111 lines
3.4 KiB
Python
Executable File
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import multiprocessing as mp
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import os
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from fnmatch import fnmatch
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from subprocess import Popen
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def chunk(seq, n):
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"""
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divide a sequence into equal sized chunks
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(the last chunk may be smaller, but won't be empty)
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"""
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chunks = []
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some = []
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for element in seq:
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if len(some) == n:
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chunks.append(some)
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some = []
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some.append(element)
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if len(some) > 0:
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chunks.append(some)
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return chunks
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def dechunk(chunks):
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"flatten chunks into a single list"
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seq = []
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for chunk in chunks:
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seq.extend(chunk)
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return seq
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def run_parallel(cmds, **kwargs):
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"""
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Run each of cmds (with shared **kwargs) using subprocess.Popen
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then wait for all of them to complete.
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Runs batches of multiprocessing.cpu_count() * 2 from cmds
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returns a list of tuples containing each process'
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returncode, stdout, stderr
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"""
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complete = []
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for cmds_batch in chunk(cmds, mp.cpu_count() * 2):
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procs_batch = [Popen(cmd, **kwargs) for cmd in cmds_batch]
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for proc in procs_batch:
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stdout, stderr = proc.communicate()
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complete.append((proc.returncode, stdout, stderr))
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return complete
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_source_extensions = '''
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.h
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.cc
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.cpp
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'''.split()
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def get_sources(source_dir, exclude_globs=[]):
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sources = []
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for directory, subdirs, basenames in os.walk(source_dir):
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for path in [os.path.join(directory, basename)
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for basename in basenames]:
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# filter out non-source files
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if os.path.splitext(path)[1] not in _source_extensions:
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continue
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path = os.path.abspath(path)
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# filter out files that match the globs in the globs file
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if any([fnmatch(path, glob) for glob in exclude_globs]):
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continue
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sources.append(path)
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return sources
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def stdout_pathcolonline(completed_process, filenames):
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"""
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given a completed process which may have reported some files as problematic
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by printing the path name followed by ':' then a line number, examine
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stdout and return the set of actually reported file names
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"""
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returncode, stdout, stderr = completed_process
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bfilenames = set()
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for filename in filenames:
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bfilenames.add(filename.encode('utf-8') + b':')
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problem_files = set()
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for line in stdout.splitlines():
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for filename in bfilenames:
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if line.startswith(filename):
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problem_files.add(filename.decode('utf-8'))
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bfilenames.remove(filename)
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break
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return problem_files, stdout
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