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09/05/2025 09:31:17 AM
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__init__.py
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__main__.py
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__pycache__
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base_events.py
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base_futures.py
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base_subprocess.py
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base_tasks.py
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constants.py
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coroutines.py
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events.py
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exceptions.py
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format_helpers.py
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futures.py
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locks.py
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log.py
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mixins.py
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proactor_events.py
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protocols.py
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queues.py
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runners.py
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selector_events.py
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sslproto.py
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staggered.py
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streams.py
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subprocess.py
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taskgroups.py
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tasks.py
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threads.py
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timeouts.py
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transports.py
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trsock.py
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unix_events.py
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windows_events.py
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windows_utils.py
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Editing: threads.py
Close
"""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)