本文整理汇总了Python中tornado.process.cpu_count方法的典型用法代码示例。如果您正苦于以下问题：Python process.cpu_count方法的具体用法？Python process.cpu_count怎么用？Python process.cpu_count使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tornado.process的用法示例。
在下文中一共展示了process.cpu_count方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: run_in_executor
# 需要导入模块: from tornado import process [as 别名]
# 或者: from tornado.process import cpu_count [as 别名]
def run_in_executor(self, executor, func, *args):
"""Runs a function in a ``concurrent.futures.Executor``. If
``executor`` is ``None``, the IO loop's default executor will be used.
Use `functools.partial` to pass keyword arguments to ``func``.
.. versionadded:: 5.0
"""
if ThreadPoolExecutor is None:
raise RuntimeError(
"concurrent.futures is required to use IOLoop.run_in_executor")
if executor is None:
if not hasattr(self, '_executor'):
from tornado.process import cpu_count
self._executor = ThreadPoolExecutor(max_workers=(cpu_count() * 5))
executor = self._executor
c_future = executor.submit(func, *args)
# Concurrent Futures are not usable with await. Wrap this in a
# Tornado Future instead, using self.add_future for thread-safety.
t_future = Future()
self.add_future(c_future, lambda f: chain_future(f, t_future))
return t_future 示例2: run_in_executor
# 需要导入模块: from tornado import process [as 别名]
# 或者: from tornado.process import cpu_count [as 别名]
def run_in_executor(
self,
executor: Optional[concurrent.futures.Executor],
func: Callable[..., _T],
*args: Any
) -> Awaitable[_T]:
"""Runs a function in a ``concurrent.futures.Executor``. If
``executor`` is ``None``, the IO loop's default executor will be used.
Use `functools.partial` to pass keyword arguments to ``func``.
.. versionadded:: 5.0
"""
if executor is None:
if not hasattr(self, "_executor"):
from tornado.process import cpu_count
self._executor = concurrent.futures.ThreadPoolExecutor(
max_workers=(cpu_count() * 5)
) # type: concurrent.futures.Executor
executor = self._executor
c_future = executor.submit(func, *args)
# Concurrent Futures are not usable with await. Wrap this in a
# Tornado Future instead, using self.add_future for thread-safety.
t_future = Future() # type: Future[_T]
self.add_future(c_future, lambda f: chain_future(f, t_future))
return t_future