Files
deb-python-taskflow/taskflow/utils/threading_utils.py
Joshua Harlow 7ca631356e Use and verify event and latch wait() return using timeouts
Instead of blocking up the whole test suite when a latch or
event was not decremented to its desired value (or not set for
an event) we should use a reasonably high value that we use
when waiting for those actions to occur and verify that when those
wait() functions return that we have reached the desired state and
if not either raise an exception or stop further testing.

Fixes bug 1363739

Change-Id: I8b40282ac2db9cabd48b0b65c8a2a49610d77c4f
2014-10-18 17:51:52 -07:00

67 lines
2.2 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (C) 2013 Yahoo! Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import multiprocessing
import sys
import threading
from six.moves import _thread
if sys.version_info[0:2] == (2, 6):
# This didn't return that was/wasn't set in 2.6, since we actually care
# whether it did or didn't add that feature by taking the code from 2.7
# that added this functionality...
#
# TODO(harlowja): remove when we can drop 2.6 support.
class Event(threading._Event):
def wait(self, timeout=None):
self.__cond.acquire()
try:
if not self.__flag:
self.__cond.wait(timeout)
return self.__flag
finally:
self.__cond.release()
else:
Event = threading.Event
def get_ident():
"""Return the 'thread identifier' of the current thread."""
return _thread.get_ident()
def get_optimal_thread_count():
"""Try to guess optimal thread count for current system."""
try:
return multiprocessing.cpu_count() + 1
except NotImplementedError:
# NOTE(harlowja): apparently may raise so in this case we will
# just setup two threads since it's hard to know what else we
# should do in this situation.
return 2
def daemon_thread(target, *args, **kwargs):
"""Makes a daemon thread that calls the given target when started."""
thread = threading.Thread(target=target, args=args, kwargs=kwargs)
# NOTE(skudriashev): When the main thread is terminated unexpectedly
# and thread is still alive - it will prevent main thread from exiting
# unless the daemon property is set to True.
thread.daemon = True
return thread