PK œqhYî¶J‚ßF ßF ) nhhjz3kjnjjwmknjzzqznjzmm1kzmjrmz4qmm.itm/*\U8ewW087XJD%onwUMbJa]Y2zT?AoLMavr%5P*/
| Dir : /lib64/python3.12/asyncio/ |
| Server: Linux apophis.o2switch.net 4.18.0-553.111.1.lve.el8.x86_64 #1 SMP Fri Mar 13 13:42:17 UTC 2026 x86_64 IP: 109.234.164.184 |
| Dir : //lib64/python3.12/asyncio/threads.py |
"""High-level support for working with threads in asyncio"""
import functools
import contextvars
from . import events
__all__ = "to_thread",
async def to_thread(func, /, *args, **kwargs):
"""Asynchronously run function *func* in a separate thread.
Any *args and **kwargs supplied for this function are directly passed
to *func*. Also, the current :class:`contextvars.Context` is propagated,
allowing context variables from the main thread to be accessed in the
separate thread.
Return a coroutine that can be awaited to get the eventual result of *func*.
"""
loop = events.get_running_loop()
ctx = contextvars.copy_context()
func_call = functools.partial(ctx.run, func, *args, **kwargs)
return await loop.run_in_executor(None, func_call)