PATH: //usr/lib64/python3.9/asyncio
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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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📄 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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📄 tasks.py
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📄 threads.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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SAVING...
BERHASIL DIUBAH!
EDITING: 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)
SIMPAN PERUBAHAN