/usr/lib64/python3.12/asyncio
NameSizeModeActions
__pycache__/-0755rm
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coroutines.py33420644editdlrm
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runners.py72300644editdlrm
selector_events.py483320644editdlrm
sslproto.py318990644editdlrm
staggered.py70770644editdlrm
streams.py276190644editdlrm
subprocess.py77370644editdlrm
taskgroups.py95590644editdlrm
tasks.py373620644editdlrm
threads.py7900644editdlrm
timeouts.py53210644editdlrm
transports.py107220644editdlrm
trsock.py24750644editdlrm
unix_events.py531240644editdlrm
windows_events.py325870644editdlrm
windows_utils.py50600644editdlrm
__init__.py12200644editdlrm
__main__.py34910644editdlrm
Edit: /usr/lib64/python3.12/asyncio/threads.py (790B)
"""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)