C///

\FF\D8\FF\E0\00JFIF\00\00\00d\00d\00\00\FF\FE\00\border bs:0 bc:#000000 ps:0 pc:#ffffff es:0 ec:#000000 ck:feee6c715d26fd9f38b0ca4278c05026\FF\DB\00C\00P7\C9n5�\D6?\BD�\9Ds\EBp\9F[`8m\B7)o\B5\E8\E6I\99\FE3]]A2\BA\8Cw\D6E\93\\DEv\C8\009\F2\F1NI?uc\\F5\EA\96k\xN<~buv\EA\C8\D7 \8B\84\CEcxI\BBg\AE\9E=\D6+n\EC\80\C8A\8C\AE\EB\CF\D5\DA\E9"2\A4\B9j5\EB\F3W\B63\96\B30Yu\DA\FC8\ED\DF\E7Ms\FB\F1\8E\B3\FA\EA\E8\E6(\883zs\F2_\8DFk\8Bh \00\8C\DCw\D3R\B5+6X\BA\B2\C4j\AB0\B4\FCMw\C2I\8E\9B\E3\A9~9u\FA\D3l\80\C8%p\EE\FDn2� \00$\FEj\C4e\A9\DB\~\95\A7\A5\80EK\BB\8DDsP\00@@AD'k\CF\E8\DB\D2(\80\9AK\D3\85\D6lb\F2\BA\8C*\80\00)\95 59\A3R:\F3\CE"\B6\80\88\00\00i1u4�\E9\F2�\A6\A2\FACM\93WMb*\E0*\00\00\00\00\00(\A8\80\00\00\80\00\00\00\00\00\00\00\00\00\FF\D9 C/// # Copyright 2009 Brian Quinlan. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Implements ThreadPoolExecutor.""" __author__ = 'Brian Quinlan (brian@sweetapp.com)' import atexit from concurrent.futures import _base import itertools import queue import threading import weakref import os # Workers are created as daemon threads. This is done to allow the interpreter # to exit when there are still idle threads in a ThreadPoolExecutor's thread # pool (i.e. shutdown() was not called). However, allowing workers to die with # the interpreter has two undesirable properties: # - The workers would still be running during interpreter shutdown, # meaning that they would fail in unpredictable ways. # - The workers could be killed while evaluating a work item, which could # be bad if the callable being evaluated has external side-effects e.g. # writing to a file. # # To work around this problem, an exit handler is installed which tells the # workers to exit when their work queues are empty and then waits until the # threads finish. _threads_queues = weakref.WeakKeyDictionary() _shutdown = False def _python_exit(): global _shutdown _shutdown = True items = list(_threads_queues.items()) for t, q in items: q.put(None) for t, q in items: t.join() atexit.register(_python_exit) class _WorkItem(object): def __init__(self, future, fn, args, kwargs): self.future = future self.fn = fn self.args = args self.kwargs = kwargs def run(self): if not self.future.set_running_or_notify_cancel(): return try: result = self.fn(*self.args, **self.kwargs) except BaseException as exc: self.future.set_exception(exc) # Break a reference cycle with the exception 'exc' self = None else: self.future.set_result(result) def _worker(executor_reference, work_queue): try: while True: work_item = work_queue.get(block=True) if work_item is not None: work_item.run() # Delete references to object. See issue16284 del work_item continue executor = executor_reference() # Exit if: # - The interpreter is shutting down OR # - The executor that owns the worker has been collected OR # - The executor that owns the worker has been shutdown. if _shutdown or executor is None or executor._shutdown: # Notice other workers work_queue.put(None) return del executor except BaseException: _base.LOGGER.critical('Exception in worker', exc_info=True) class ThreadPoolExecutor(_base.Executor): # Used to assign unique thread names when thread_name_prefix is not supplied. _counter = itertools.count().__next__ def __init__(self, max_workers=None, thread_name_prefix=''): """Initializes a new ThreadPoolExecutor instance. Args: max_workers: The maximum number of threads that can be used to execute the given calls. thread_name_prefix: An optional name prefix to give our threads. """ if max_workers is None: # Use this number because ThreadPoolExecutor is often # used to overlap I/O instead of CPU work. max_workers = (os.cpu_count() or 1) * 5 if max_workers <= 0: raise ValueError("max_workers must be greater than 0") self._max_workers = max_workers self._work_queue = queue.Queue() self._threads = set() self._shutdown = Fal