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distributed / distributed / compatibility.py
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from __future__ import annotations

import logging
import sys

logging_names: dict[str | int, int | str] = {}
logging_names.update(logging._levelToName)  # type: ignore
logging_names.update(logging._nameToLevel)  # type: ignore

LINUX = sys.platform == "linux"
MACOS = sys.platform == "darwin"
WINDOWS = sys.platform == "win32"


if sys.version_info >= (3, 9):
    from asyncio import to_thread
else:
    import contextvars
    import functools
    from asyncio import events

    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*.

        backport from
        https://github.com/python/cpython/blob/3f1ea163ea54513e00e0e9d5442fee1b639825cc/Lib/asyncio/threads.py#L12-L25
        """
        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)


if sys.version_info >= (3, 9):
    from random import randbytes
else:
    try:
        import numpy

        def randbytes(size):
            return numpy.random.randint(255, size=size, dtype="u8").tobytes()

    except ImportError:
        import secrets

        def randbytes(size):
            return secrets.token_bytes(size)