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?? ..
?? __init__.py(55.96 KB)
?? __pycache__
?? _shutil.py(795 B)
?? antivirus_mode.py(497 B)
?? async_utils.py(718 B)
?? benchmark.py(538 B)
?? buffer.py(1.24 KB)
?? check_db.py(7.72 KB)
?? check_lock.py(636 B)
?? cli.py(7.39 KB)
?? common.py(14.41 KB)
?? config.py(999 B)
?? cronjob.py(902 B)
?? doctor.py(1 KB)
?? hyperscan.py(149 B)
?? importer.py(2.67 KB)
?? ipecho.py(3.17 KB)
?? json.py(953 B)
?? kwconfig.py(1.56 KB)
?? parsers.py(11.12 KB)
?? resource_limits.py(2.29 KB)
?? safe_fileops.py(7.99 KB)
?? safe_sequence.py(363 B)
?? serialization.py(1.72 KB)
?? sshutil.py(7.94 KB)
?? subprocess.py(1.53 KB)
?? support.py(5.2 KB)
?? threads.py(1005 B)
?? validate.py(4.27 KB)
?? whmcs.py(7.6 KB)
?? wordpress_mu_plugin.py(1.41 KB)

Editing: threads.py

"""High-level support for working with threads in asyncio

Modified from Python 3.10 stdlib
https://github.com/python/cpython/blob/b11a951f16f0603d98de24fee5c023df83ea552c/Lib/asyncio/threads.py
(the license GPL-compatible but doesn't require to open-source either).
"""

import functools
import contextvars

from asyncio 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 propogated,
    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)

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Editing: threads.py

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