def __init__(self, init_hdl=None, **init_kwargs):
"""
:param
init_hdl: 子进程工作控制器的初始化函数。默认创建工作控制器池ControllerPool。
init_kwargs: 传递字典参数给子进程控制器初始化函数进行初始化。
- 默认 default_worker_initializer = _subprocess_worker_initializer(mapping, context)
"""
# 进程通信通道。
self._parent_channel, self._child_channel = create_process_channel_pairs(
)
self._process = None
# 同步进程事件。
self._workers_empty_queue_event = ProcessEvent()
self._workers_idle_event = ProcessEvent()
# 初始化进程同步事件。
self._workers_empty_queue_event.set()
self._workers_idle_event.set()
# 子进程工作线程控制器池初始化函数和参数。
if not init_hdl:
init_hdl = default_worker_initializer
self.__init_hdl = init_hdl
self.__init_kwargs = init_kwargs
# 被派遣处理过程中的事件id: Event。
self._unfinished_events = {}
# 事件ID计数
self._event_count = 0
# 预实例对象，允许直接把子进程的工作线程当成虚拟实例来使用。
self.instances = {
'workers': VirtualInstance(self, 'workers'),
'bri_worker': VirtualInstance(self, 'bri_worker')
}
def __init__(self,
configs,
cli_options=None,
cfg_patches=None,
cli_args=None,
no_local=False,
log_handlers=None,
wait_lock=False,
files=None,
ammo_file=None,
api_start=False,
manager=None,
debug=False):
self.api_start = api_start
self.wait_lock = wait_lock
self.log_handlers = log_handlers if log_handlers is not None else []
self.files = [] if files is None else files
self.ammo_file = ammo_file
self.config_paths = configs
self.interrupted = ProcessEvent() if api_start else ThreadEvent()
self.info = TankInfo(manager.dict()) if api_start else TankInfo(dict())
self.config_list = self._combine_configs(configs, cli_options,
cfg_patches, cli_args,
no_local)
self.core = TankCore(self.config_list, self.interrupted, self.info)
self.folder = self.init_folder()
self.init_logging(debug
or self.core.get_option(self.core.SECTION, 'debug'))
is_locked = Lock.is_locked(self.core.lock_dir)
if is_locked and not self.core.config.get_option(
self.SECTION, 'ignore_lock'):
raise LockError(is_locked)
def __init__(self, p1, p2):
self._p1 = p1
self._p2 = p2
# 由于是进程间的数据同步，所以这里只能使用通过进程信号量来共享计数数据。
# 在这里的信号量仅仅是用于计数put和get的差量。
self._unfinished_tasks = Semaphore(0)
# 空队列事件，这将用于join。
self._empty = ProcessEvent()
self._lock = ProcessLock()
def __init__(self, lane_departure_callback):
self.lane_departure_callback = lane_departure_callback
self.running = False
self.out_queue = ProcessQueue()
self.in_queue = ProcessQueue()
self.terminate_event = ProcessEvent()
self.lane_process = Process(target=self.LaneProcess)
self.update_thread = threading.Thread(target=self.update_thread)
self.running = True
self.lane_process.start()
self.update_thread.start()
def start(self):
self.shutdown_flag = ProcessEvent()
self.process = Process(
target=run_test_rpc_node,
kwargs={
"shutdown_flag": self.shutdown_flag,
"lock": self.lock,
"port": self.port,
"shared": self.shared,
}
)
self.process.start()
# Wait for a bit to let the process start up
time.sleep(0.1)
def __init__(self,
algorithm,
sortable_list,
on_sort_callback,
sleeptime,
name="running_sorting_algorithm"):
self.__event = Event()
self.__process_event = ProcessEvent()
self.__pipe, process_end_pipe = Pipe()
self.__listener = Thread(target=listening,
args=(on_sort_callback, self.__pipe,
self.__event))
self.__process = Process(target=observed_sorting,
args=(algorithm, sortable_list,
process_end_pipe, self.__process_event,
sleeptime))
self.__process.name = name
def get_stop_flag(self):
return ProcessEvent()
def __init__(self):
self._event = ProcessEvent()
def __init__(self, jobStore):
# Start the stats/logging aggregation process
self._stop = ProcessEvent()
self._worker = Process(target=self.statsAndLoggingAggregatorProcess,
args=(jobStore, self._stop))
self._worker.start()
def __init__(self, name, outputQueue):
Process.__init__(self)
Manager.__init__(self, name, outputQueue)
self.stopped = ProcessEvent()
def __init__(self):
super(DistributorProcess, self).__init__(ProcessQueue(),
ProcessEvent())
