Загрузить файлы в «venv/Lib/site-packages/anyio»

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from __future__ import annotations
import dataclasses
import socket
import sys
from collections.abc import Callable, Generator, Iterator
from contextlib import ExitStack, contextmanager
from inspect import isasyncgenfunction, iscoroutinefunction, ismethod
from typing import Any, cast
import pytest
from _pytest.fixtures import FuncFixtureInfo, SubRequest
from _pytest.outcomes import Exit
from _pytest.python import CallSpec2
from _pytest.scope import Scope
from . import get_available_backends
from ._core._eventloop import (
current_async_library,
get_async_backend,
reset_current_async_library,
set_current_async_library,
)
from ._core._exceptions import iterate_exceptions
from .abc import TestRunner
if sys.version_info < (3, 11):
from exceptiongroup import ExceptionGroup
_current_runner: TestRunner | None = None
_runner_stack: ExitStack | None = None
_runner_leases = 0
def extract_backend_and_options(backend: object) -> tuple[str, dict[str, Any]]:
if isinstance(backend, str):
return backend, {}
elif isinstance(backend, tuple) and len(backend) == 2:
if isinstance(backend[0], str) and isinstance(backend[1], dict):
return cast(tuple[str, dict[str, Any]], backend)
raise TypeError("anyio_backend must be either a string or tuple of (string, dict)")
@contextmanager
def get_runner(
backend_name: str, backend_options: dict[str, Any]
) -> Iterator[TestRunner]:
global _current_runner, _runner_leases, _runner_stack
if _current_runner is None:
asynclib = get_async_backend(backend_name)
_runner_stack = ExitStack()
if current_async_library() is None:
# Since we're in control of the event loop, we can cache the name of the
# async library
token = set_current_async_library(backend_name)
_runner_stack.callback(reset_current_async_library, token)
backend_options = backend_options or {}
_current_runner = _runner_stack.enter_context(
asynclib.create_test_runner(backend_options)
)
_runner_leases += 1
try:
yield _current_runner
finally:
_runner_leases -= 1
if not _runner_leases:
assert _runner_stack is not None
_runner_stack.close()
_runner_stack = _current_runner = None
def pytest_addoption(parser: pytest.Parser) -> None:
parser.addini(
"anyio_mode",
default="strict",
help='AnyIO plugin mode (either "strict" or "auto")',
)
def pytest_configure(config: pytest.Config) -> None:
config.addinivalue_line(
"markers",
"anyio: mark the (coroutine function) test to be run asynchronously via anyio.",
)
if (
config.getini("anyio_mode") == "auto"
and config.pluginmanager.has_plugin("asyncio")
and config.getini("asyncio_mode") == "auto"
):
config.issue_config_time_warning(
pytest.PytestConfigWarning(
"AnyIO auto mode has been enabled together with pytest-asyncio auto "
"mode. This may cause unexpected behavior."
),
1,
)
@pytest.hookimpl(hookwrapper=True)
def pytest_fixture_setup(fixturedef: Any, request: Any) -> Generator[Any]:
def wrapper(anyio_backend: Any, request: SubRequest, **kwargs: Any) -> Any:
# Rebind any fixture methods to the request instance
if (
request.instance
and ismethod(func)
and type(func.__self__) is type(request.instance)
):
local_func = func.__func__.__get__(request.instance)
else:
local_func = func
backend_name, backend_options = extract_backend_and_options(anyio_backend)
if has_backend_arg:
kwargs["anyio_backend"] = anyio_backend
if has_request_arg:
kwargs["request"] = request
with get_runner(backend_name, backend_options) as runner:
# re-entrant call into the test runner detected. this happens when an async fixture
# is dynamically requested via request.getfixturevalue() from inside a running async
# test or fixture. on asyncio this raises RuntimeError: This event loop is already
# running, on trio the runner deadlocks - the host loop blocks waiting for the
# coroutine to return, but the coroutine is waiting for the host loop. raising here
# prevents the hang and gives a consistent error across backends.
if runner.is_running():
raise RuntimeError(
"Cannot schedule a coroutine in the test runner while another is already running; "
"likely caused by request.getfixturevalue() on an async fixture."
)
if isasyncgenfunction(local_func):
yield from runner.run_asyncgen_fixture(local_func, kwargs)
else:
yield runner.run_fixture(local_func, kwargs)
# Only apply this to coroutine functions and async generator functions in requests
# that involve the anyio_backend fixture
func = fixturedef.func
if isasyncgenfunction(func) or iscoroutinefunction(func):
if "anyio_backend" in request.fixturenames:
fixturedef.func = wrapper
original_argname = fixturedef.argnames
if not (has_backend_arg := "anyio_backend" in fixturedef.argnames):
fixturedef.argnames += ("anyio_backend",)
if not (has_request_arg := "request" in fixturedef.argnames):
fixturedef.argnames += ("request",)
try:
return (yield)
finally:
fixturedef.func = func
fixturedef.argnames = original_argname
return (yield)
@pytest.hookimpl(tryfirst=True)
def pytest_pycollect_makeitem(
collector: pytest.Module | pytest.Class, name: str, obj: object
) -> None:
if collector.istestfunction(obj, name):
inner_func = obj.hypothesis.inner_test if hasattr(obj, "hypothesis") else obj
if iscoroutinefunction(inner_func):
anyio_auto_mode = collector.config.getini("anyio_mode") == "auto"
marker = collector.get_closest_marker("anyio")
own_markers = getattr(obj, "pytestmark", ())
if (
anyio_auto_mode
or marker
or any(marker.name == "anyio" for marker in own_markers)
):
pytest.mark.usefixtures("anyio_backend")(obj)
def pytest_collection_finish(session: pytest.Session) -> None:
for i, item in reversed(list(enumerate(session.items))):
if (
isinstance(item, pytest.Function)
and iscoroutinefunction(item.function)
and item.get_closest_marker("anyio") is not None
and "anyio_backend" not in item.fixturenames
):
new_items = []
try:
cs_fields = {f.name for f in dataclasses.fields(CallSpec2)}
except TypeError:
cs_fields = set()
for param_index, backend in enumerate(get_available_backends()):
if "_arg2scope" in cs_fields: # pytest >= 8
callspec = CallSpec2(
params={"anyio_backend": backend},
indices={"anyio_backend": param_index},
_arg2scope={"anyio_backend": Scope.Module},
_idlist=[backend],
marks=[],
)
else: # pytest 7.x
callspec = CallSpec2( # type: ignore[call-arg]
funcargs={},
params={"anyio_backend": backend},
indices={"anyio_backend": param_index},
arg2scope={"anyio_backend": Scope.Module},
idlist=[backend],
marks=[],
)
fi = item._fixtureinfo
new_names_closure = list(fi.names_closure)
if "anyio_backend" not in new_names_closure:
new_names_closure.append("anyio_backend")
new_fixtureinfo = FuncFixtureInfo(
argnames=fi.argnames,
initialnames=fi.initialnames,
names_closure=new_names_closure,
name2fixturedefs=fi.name2fixturedefs,
)
new_item = pytest.Function.from_parent(
item.parent,
name=f"{item.originalname}[{backend}]",
callspec=callspec,
callobj=item.obj,
fixtureinfo=new_fixtureinfo,
keywords=item.keywords,
originalname=item.originalname,
)
new_items.append(new_item)
session.items[i : i + 1] = new_items
@pytest.hookimpl(tryfirst=True)
def pytest_pyfunc_call(pyfuncitem: Any) -> bool | None:
def run_with_hypothesis(**kwargs: Any) -> None:
with get_runner(backend_name, backend_options) as runner:
runner.run_test(original_func, kwargs)
backend = pyfuncitem.funcargs.get("anyio_backend")
if backend:
backend_name, backend_options = extract_backend_and_options(backend)
if hasattr(pyfuncitem.obj, "hypothesis"):
# Wrap the inner test function unless it's already wrapped
original_func = pyfuncitem.obj.hypothesis.inner_test
if original_func.__qualname__ != run_with_hypothesis.__qualname__:
if iscoroutinefunction(original_func):
pyfuncitem.obj.hypothesis.inner_test = run_with_hypothesis
return None
if iscoroutinefunction(pyfuncitem.obj):
funcargs = pyfuncitem.funcargs
testargs = {arg: funcargs[arg] for arg in pyfuncitem._fixtureinfo.argnames}
with get_runner(backend_name, backend_options) as runner:
try:
runner.run_test(pyfuncitem.obj, testargs)
except ExceptionGroup as excgrp:
for exc in iterate_exceptions(excgrp):
if isinstance(exc, (Exit, KeyboardInterrupt, SystemExit)):
raise exc from excgrp
raise
return True
return None
@pytest.fixture(scope="module", params=get_available_backends())
def anyio_backend(request: Any) -> Any:
return request.param
@pytest.fixture
def anyio_backend_name(anyio_backend: Any) -> str:
if isinstance(anyio_backend, str):
return anyio_backend
else:
return anyio_backend[0]
@pytest.fixture
def anyio_backend_options(anyio_backend: Any) -> dict[str, Any]:
if isinstance(anyio_backend, str):
return {}
else:
return anyio_backend[1]
class FreePortFactory:
"""
Manages port generation based on specified socket kind, ensuring no duplicate
ports are generated.
This class provides functionality for generating available free ports on the
system. It is initialized with a specific socket kind and can generate ports
for given address families while avoiding reuse of previously generated ports.
Users should not instantiate this class directly, but use the
``free_tcp_port_factory`` and ``free_udp_port_factory`` fixtures instead. For simple
uses cases, ``free_tcp_port`` and ``free_udp_port`` can be used instead.
"""
def __init__(self, kind: socket.SocketKind) -> None:
self._kind = kind
self._generated = set[int]()
@property
def kind(self) -> socket.SocketKind:
"""
The type of socket connection (e.g., :data:`~socket.SOCK_STREAM` or
:data:`~socket.SOCK_DGRAM`) used to bind for checking port availability
"""
return self._kind
def __call__(self, family: socket.AddressFamily | None = None) -> int:
"""
Return an unbound port for the given address family.
:param family: if omitted, both IPv4 and IPv6 addresses will be tried
:return: a port number
"""
if family is not None:
families = [family]
else:
families = [socket.AF_INET]
if socket.has_ipv6:
families.append(socket.AF_INET6)
while True:
port = 0
with ExitStack() as stack:
for family in families:
sock = stack.enter_context(socket.socket(family, self._kind))
addr = "::1" if family == socket.AF_INET6 else "127.0.0.1"
try:
sock.bind((addr, port))
except OSError:
break
if not port:
port = sock.getsockname()[1]
else:
if port not in self._generated:
self._generated.add(port)
return port
@pytest.fixture(scope="session")
def free_tcp_port_factory() -> FreePortFactory:
return FreePortFactory(socket.SOCK_STREAM)
@pytest.fixture(scope="session")
def free_udp_port_factory() -> FreePortFactory:
return FreePortFactory(socket.SOCK_DGRAM)
@pytest.fixture
def free_tcp_port(free_tcp_port_factory: Callable[[], int]) -> int:
return free_tcp_port_factory()
@pytest.fixture
def free_udp_port(free_udp_port_factory: Callable[[], int]) -> int:
return free_udp_port_factory()

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from __future__ import annotations
__all__ = (
"run_sync",
"current_default_interpreter_limiter",
)
import atexit
import os
import sys
from collections import deque
from collections.abc import Callable
from typing import Any, Final, TypeVar
from . import current_time, to_thread
from ._core._exceptions import BrokenWorkerInterpreter
from ._core._synchronization import CapacityLimiter
from .lowlevel import RunVar
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
if sys.version_info >= (3, 14):
from concurrent.interpreters import ExecutionFailed, create
def _interp_call(
func: Callable[..., Any], args: tuple[Any, ...]
) -> tuple[Any, bool]:
try:
retval = func(*args)
except BaseException as exc:
return exc, True
else:
return retval, False
class _Worker:
last_used: float = 0
def __init__(self) -> None:
self._interpreter = create()
def destroy(self) -> None:
self._interpreter.close()
def call(
self,
func: Callable[..., T_Retval],
args: tuple[Any, ...],
) -> T_Retval:
try:
res, is_exception = self._interpreter.call(_interp_call, func, args)
except ExecutionFailed as exc:
raise BrokenWorkerInterpreter(exc.excinfo) from exc
if is_exception:
raise res
return res
elif sys.version_info >= (3, 13):
import _interpqueues
import _interpreters
UNBOUND: Final = 2 # I have no clue how this works, but it was used in the stdlib
FMT_UNPICKLED: Final = 0
FMT_PICKLED: Final = 1
QUEUE_PICKLE_ARGS: Final = (FMT_PICKLED, UNBOUND)
QUEUE_UNPICKLE_ARGS: Final = (FMT_UNPICKLED, UNBOUND)
_run_func = compile(
"""
import _interpqueues
from _interpreters import NotShareableError
from pickle import loads, dumps, HIGHEST_PROTOCOL
QUEUE_PICKLE_ARGS = (1, 2)
QUEUE_UNPICKLE_ARGS = (0, 2)
item = _interpqueues.get(queue_id)[0]
try:
func, args = loads(item)
retval = func(*args)
except BaseException as exc:
is_exception = True
retval = exc
else:
is_exception = False
try:
_interpqueues.put(queue_id, (retval, is_exception), *QUEUE_UNPICKLE_ARGS)
except NotShareableError:
retval = dumps(retval, HIGHEST_PROTOCOL)
_interpqueues.put(queue_id, (retval, is_exception), *QUEUE_PICKLE_ARGS)
""",
"<string>",
"exec",
)
class _Worker:
last_used: float = 0
def __init__(self) -> None:
self._interpreter_id = _interpreters.create()
self._queue_id = _interpqueues.create(1, *QUEUE_UNPICKLE_ARGS)
_interpreters.set___main___attrs(
self._interpreter_id, {"queue_id": self._queue_id}
)
def destroy(self) -> None:
_interpqueues.destroy(self._queue_id)
_interpreters.destroy(self._interpreter_id)
def call(
self,
func: Callable[..., T_Retval],
args: tuple[Any, ...],
) -> T_Retval:
import pickle
item = pickle.dumps((func, args), pickle.HIGHEST_PROTOCOL)
_interpqueues.put(self._queue_id, item, *QUEUE_PICKLE_ARGS)
exc_info = _interpreters.exec(self._interpreter_id, _run_func)
if exc_info:
raise BrokenWorkerInterpreter(exc_info)
res = _interpqueues.get(self._queue_id)
(res, is_exception), fmt = res[:2]
if fmt == FMT_PICKLED:
res = pickle.loads(res)
if is_exception:
raise res
return res
else:
class _Worker:
last_used: float = 0
def __init__(self) -> None:
raise RuntimeError("subinterpreters require at least Python 3.13")
def call(
self,
func: Callable[..., T_Retval],
args: tuple[Any, ...],
) -> T_Retval:
raise NotImplementedError
def destroy(self) -> None:
pass
DEFAULT_CPU_COUNT: Final = 8 # this is just an arbitrarily selected value
MAX_WORKER_IDLE_TIME = (
30 # seconds a subinterpreter can be idle before becoming eligible for pruning
)
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
_idle_workers = RunVar[deque[_Worker]]("_available_workers")
_default_interpreter_limiter = RunVar[CapacityLimiter]("_default_interpreter_limiter")
def _stop_workers(workers: deque[_Worker]) -> None:
for worker in workers:
worker.destroy()
workers.clear()
async def run_sync(
func: Callable[[Unpack[PosArgsT]], T_Retval],
*args: Unpack[PosArgsT],
limiter: CapacityLimiter | None = None,
) -> T_Retval:
"""
Call the given function with the given arguments in a subinterpreter.
.. warning:: On Python 3.13, the :mod:`concurrent.interpreters` module was not yet
available, so the code path for that Python version relies on an undocumented,
private API. As such, it is recommended to not rely on this function for anything
mission-critical on Python 3.13.
:param func: a callable
:param args: the positional arguments for the callable
:param limiter: capacity limiter to use to limit the total number of subinterpreters
running (if omitted, the default limiter is used)
:return: the result of the call
:raises BrokenWorkerInterpreter: if there's an internal error in a subinterpreter
"""
if limiter is None:
limiter = current_default_interpreter_limiter()
try:
idle_workers = _idle_workers.get()
except LookupError:
idle_workers = deque()
_idle_workers.set(idle_workers)
atexit.register(_stop_workers, idle_workers)
async with limiter:
try:
worker = idle_workers.pop()
except IndexError:
worker = _Worker()
try:
return await to_thread.run_sync(
worker.call,
func,
args,
limiter=limiter,
)
finally:
# Prune workers that have been idle for too long
now = current_time()
while idle_workers:
if now - idle_workers[0].last_used <= MAX_WORKER_IDLE_TIME:
break
await to_thread.run_sync(idle_workers.popleft().destroy, limiter=limiter)
worker.last_used = current_time()
idle_workers.append(worker)
def current_default_interpreter_limiter() -> CapacityLimiter:
"""
Return the capacity limiter used by default to limit the number of concurrently
running subinterpreters.
Defaults to the number of CPU cores.
:return: a capacity limiter object
"""
try:
return _default_interpreter_limiter.get()
except LookupError:
limiter = CapacityLimiter(os.cpu_count() or DEFAULT_CPU_COUNT)
_default_interpreter_limiter.set(limiter)
return limiter

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from __future__ import annotations
__all__ = (
"current_default_process_limiter",
"process_worker",
"run_sync",
)
import os
import pickle
import runpy
import subprocess
import sys
from collections import deque
from collections.abc import Callable
from types import ModuleType
from typing import TypeVar, cast
from ._core._eventloop import current_time, get_async_backend, get_cancelled_exc_class
from ._core._exceptions import BrokenWorkerProcess
from ._core._subprocesses import open_process
from ._core._synchronization import CapacityLimiter
from ._core._tasks import CancelScope, fail_after
from .abc import ByteReceiveStream, ByteSendStream, Process
from .lowlevel import RunVar, checkpoint_if_cancelled
from .streams.buffered import BufferedByteReceiveStream
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
WORKER_MAX_IDLE_TIME = 300 # 5 minutes
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
_process_pool_workers: RunVar[set[Process]] = RunVar("_process_pool_workers")
_process_pool_idle_workers: RunVar[deque[tuple[Process, float]]] = RunVar(
"_process_pool_idle_workers"
)
_default_process_limiter: RunVar[CapacityLimiter] = RunVar("_default_process_limiter")
async def run_sync( # type: ignore[return]
func: Callable[[Unpack[PosArgsT]], T_Retval],
*args: Unpack[PosArgsT],
cancellable: bool = False,
limiter: CapacityLimiter | None = None,
) -> T_Retval:
"""
Call the given function with the given arguments in a worker process.
If the ``cancellable`` option is enabled and the task waiting for its completion is
cancelled, the worker process running it will be abruptly terminated using SIGKILL
(or ``terminateProcess()`` on Windows).
:param func: a callable
:param args: positional arguments for the callable
:param cancellable: ``True`` to allow cancellation of the operation while it's
running
:param limiter: capacity limiter to use to limit the total amount of processes
running (if omitted, the default limiter is used)
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
:return: an awaitable that yields the return value of the function.
"""
async def send_raw_command(pickled_cmd: bytes) -> object:
try:
await stdin.send(pickled_cmd)
response = await buffered.receive_until(b"\n", 50)
status, length = response.split(b" ")
if status not in (b"RETURN", b"EXCEPTION"):
raise RuntimeError(
f"Worker process returned unexpected response: {response!r}"
)
pickled_response = await buffered.receive_exactly(int(length))
except BaseException as exc:
workers.discard(process)
try:
process.kill()
with CancelScope(shield=True):
await process.aclose()
except ProcessLookupError:
pass
if isinstance(exc, get_cancelled_exc_class()):
raise
else:
raise BrokenWorkerProcess from exc
retval = pickle.loads(pickled_response)
if status == b"EXCEPTION":
assert isinstance(retval, BaseException)
raise retval
else:
return retval
# First pickle the request before trying to reserve a worker process
await checkpoint_if_cancelled()
request = pickle.dumps(("run", func, args), protocol=pickle.HIGHEST_PROTOCOL)
# If this is the first run in this event loop thread, set up the necessary variables
try:
workers = _process_pool_workers.get()
idle_workers = _process_pool_idle_workers.get()
except LookupError:
workers = set()
idle_workers = deque()
_process_pool_workers.set(workers)
_process_pool_idle_workers.set(idle_workers)
get_async_backend().setup_process_pool_exit_at_shutdown(workers)
async with limiter or current_default_process_limiter():
# Pop processes from the pool (starting from the most recently used) until we
# find one that hasn't exited yet
process: Process
while idle_workers:
process, idle_since = idle_workers.pop()
if process.returncode is None:
stdin = cast(ByteSendStream, process.stdin)
buffered = BufferedByteReceiveStream(
cast(ByteReceiveStream, process.stdout)
)
# Prune any other workers that have been idle for WORKER_MAX_IDLE_TIME
# seconds or longer
now = current_time()
killed_processes: list[Process] = []
while idle_workers:
if now - idle_workers[0][1] < WORKER_MAX_IDLE_TIME:
break
process_to_kill, idle_since = idle_workers.popleft()
process_to_kill.kill()
workers.remove(process_to_kill)
killed_processes.append(process_to_kill)
with CancelScope(shield=True):
for killed_process in killed_processes:
await killed_process.aclose()
break
workers.remove(process)
else:
command = [sys.executable, "-u", "-m", __name__]
process = await open_process(
command, stdin=subprocess.PIPE, stdout=subprocess.PIPE
)
try:
stdin = cast(ByteSendStream, process.stdin)
buffered = BufferedByteReceiveStream(
cast(ByteReceiveStream, process.stdout)
)
with fail_after(20):
message = await buffered.receive(6)
if message != b"READY\n":
raise BrokenWorkerProcess(
f"Worker process returned unexpected response: {message!r}"
)
main_module_path = getattr(sys.modules["__main__"], "__file__", None)
pickled = pickle.dumps(
("init", sys.path, main_module_path),
protocol=pickle.HIGHEST_PROTOCOL,
)
await send_raw_command(pickled)
except (BrokenWorkerProcess, get_cancelled_exc_class()):
raise
except BaseException as exc:
process.kill()
raise BrokenWorkerProcess(
"Error during worker process initialization"
) from exc
workers.add(process)
with CancelScope(shield=not cancellable):
try:
return cast(T_Retval, await send_raw_command(request))
finally:
if process in workers:
idle_workers.append((process, current_time()))
def current_default_process_limiter() -> CapacityLimiter:
"""
Return the capacity limiter that is used by default to limit the number of worker
processes.
:return: a capacity limiter object
"""
try:
return _default_process_limiter.get()
except LookupError:
limiter = CapacityLimiter(os.cpu_count() or 2)
_default_process_limiter.set(limiter)
return limiter
def process_worker() -> None:
# Redirect standard streams to os.devnull so that user code won't interfere with the
# parent-worker communication
stdin = sys.stdin
stdout = sys.stdout
sys.stdin = open(os.devnull)
sys.stdout = open(os.devnull, "w")
stdout.buffer.write(b"READY\n")
while True:
retval = exception = None
try:
command, *args = pickle.load(stdin.buffer)
except EOFError:
return
except BaseException as exc:
exception = exc
else:
if command == "run":
func, args = args
try:
retval = func(*args)
except BaseException as exc:
exception = exc
elif command == "init":
main_module_path: str | None
sys.path, main_module_path = args
del sys.modules["__main__"]
if main_module_path and os.path.isfile(main_module_path):
# Load the parent's main module but as __mp_main__ instead of
# __main__ (like multiprocessing does) to avoid infinite recursion
try:
main = ModuleType("__mp_main__")
main_content = runpy.run_path(
main_module_path, run_name="__mp_main__"
)
main.__dict__.update(main_content)
sys.modules["__main__"] = sys.modules["__mp_main__"] = main
except BaseException as exc:
exception = exc
try:
if exception is not None:
status = b"EXCEPTION"
pickled = pickle.dumps(exception, pickle.HIGHEST_PROTOCOL)
else:
status = b"RETURN"
pickled = pickle.dumps(retval, pickle.HIGHEST_PROTOCOL)
except BaseException as exc:
exception = exc
status = b"EXCEPTION"
pickled = pickle.dumps(exc, pickle.HIGHEST_PROTOCOL)
stdout.buffer.write(b"%s %d\n" % (status, len(pickled)))
stdout.buffer.write(pickled)
# Respect SIGTERM
if isinstance(exception, SystemExit):
raise exception
if __name__ == "__main__":
process_worker()

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@@ -0,0 +1,78 @@
from __future__ import annotations
__all__ = (
"run_sync",
"current_default_thread_limiter",
)
import sys
from collections.abc import Callable
from typing import TypeVar
from warnings import warn
from ._core._eventloop import get_async_backend
from .abc import CapacityLimiter
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
async def run_sync(
func: Callable[[Unpack[PosArgsT]], T_Retval],
*args: Unpack[PosArgsT],
abandon_on_cancel: bool = False,
cancellable: bool | None = None,
limiter: CapacityLimiter | None = None,
) -> T_Retval:
"""
Call the given function with the given arguments in a worker thread.
If the ``abandon_on_cancel`` option is enabled and the task waiting for its
completion is cancelled, the thread will still run its course but its
return value (or any raised exception) will be ignored.
:param func: a callable
:param args: positional arguments for the callable
:param abandon_on_cancel: ``True`` to abandon the thread (leaving it to run
unchecked on own) if the host task is cancelled, ``False`` to ignore
cancellations in the host task until the operation has completed in the worker
thread
:param cancellable: deprecated alias of ``abandon_on_cancel``; will override
``abandon_on_cancel`` if both parameters are passed
:param limiter: capacity limiter to use to limit the total amount of threads running
(if omitted, the default limiter is used)
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
:return: an awaitable that yields the return value of the function.
"""
if cancellable is not None:
abandon_on_cancel = cancellable
warn(
"The `cancellable=` keyword argument to `anyio.to_thread.run_sync` is "
"deprecated since AnyIO 4.1.0; use `abandon_on_cancel=` instead",
DeprecationWarning,
stacklevel=2,
)
return await get_async_backend().run_sync_in_worker_thread(
func, args, abandon_on_cancel=abandon_on_cancel, limiter=limiter
)
def current_default_thread_limiter() -> CapacityLimiter:
"""
Return the capacity limiter that is used by default to limit the number of
concurrent threads.
:return: a capacity limiter object
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
return get_async_backend().current_default_thread_limiter()