two version of R2R are hereHEADmaster

1 files changed, 218 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/anyio/to_interpreter.py b/.venv/lib/python3.12/site-packages/anyio/to_interpreter.py
new file mode 100644
index 00000000..8a2e993a
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/anyio/to_interpreter.py
@@ -0,0 +1,218 @@
+from __future__ import annotations
+
+import atexit
+import os
+import pickle
+import sys
+from collections import deque
+from collections.abc import Callable
+from textwrap import dedent
+from typing import Any, Final, TypeVar
+
+from . import current_time, to_thread
+from ._core._exceptions import BrokenWorkerIntepreter
+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
+
+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
+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")
+
+
+class Worker:
+    _run_func = compile(
+        dedent("""
+        import _interpqueues as queues
+        import _interpreters as interpreters
+        from pickle import loads, dumps, HIGHEST_PROTOCOL
+
+        item = queues.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:
+            queues.put(queue_id, (retval, is_exception), FMT_UNPICKLED, UNBOUND)
+        except interpreters.NotShareableError:
+            retval = dumps(retval, HIGHEST_PROTOCOL)
+            queues.put(queue_id, (retval, is_exception), FMT_PICKLED, UNBOUND)
+        """),
+        "<string>",
+        "exec",
+    )
+
+    last_used: float = 0
+
+    _initialized: bool = False
+    _interpreter_id: int
+    _queue_id: int
+
+    def initialize(self) -> None:
+        import _interpqueues as queues
+        import _interpreters as interpreters
+
+        self._interpreter_id = interpreters.create()
+        self._queue_id = queues.create(2, FMT_UNPICKLED, UNBOUND)
+        self._initialized = True
+        interpreters.set___main___attrs(
+            self._interpreter_id,
+            {
+                "queue_id": self._queue_id,
+                "FMT_PICKLED": FMT_PICKLED,
+                "FMT_UNPICKLED": FMT_UNPICKLED,
+                "UNBOUND": UNBOUND,
+            },
+        )
+
+    def destroy(self) -> None:
+        import _interpqueues as queues
+        import _interpreters as interpreters
+
+        if self._initialized:
+            interpreters.destroy(self._interpreter_id)
+            queues.destroy(self._queue_id)
+
+    def _call(
+        self,
+        func: Callable[..., T_Retval],
+        args: tuple[Any],
+    ) -> tuple[Any, bool]:
+        import _interpqueues as queues
+        import _interpreters as interpreters
+
+        if not self._initialized:
+            self.initialize()
+
+        payload = pickle.dumps((func, args), pickle.HIGHEST_PROTOCOL)
+        queues.put(self._queue_id, payload, FMT_PICKLED, UNBOUND)
+
+        res: Any
+        is_exception: bool
+        if exc_info := interpreters.exec(self._interpreter_id, self._run_func):
+            raise BrokenWorkerIntepreter(exc_info)
+
+        (res, is_exception), fmt = queues.get(self._queue_id)[:2]
+        if fmt == FMT_PICKLED:
+            res = pickle.loads(res)
+
+        return res, is_exception
+
+    async def call(
+        self,
+        func: Callable[..., T_Retval],
+        args: tuple[Any],
+        limiter: CapacityLimiter,
+    ) -> T_Retval:
+        result, is_exception = await to_thread.run_sync(
+            self._call,
+            func,
+            args,
+            limiter=limiter,
+        )
+        if is_exception:
+            raise result
+
+        return result
+
+
+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.
+
+    If the ``cancellable`` option is enabled and the task waiting for its completion is
+    cancelled, the call will still run its course but its return value (or any raised
+    exception) will be ignored.
+
+    .. warning:: This feature is **experimental**. The upstream interpreter API has not
+        yet been finalized or thoroughly tested, so don't rely on this for anything
+        mission critical.
+
+    :param func: a callable
+    :param args: positional arguments for the callable
+    :param limiter: capacity limiter to use to limit the total amount of subinterpreters
+        running (if omitted, the default limiter is used)
+    :return: the result of the call
+    :raises BrokenWorkerIntepreter: if there's an internal error in a subinterpreter
+
+    """
+    if sys.version_info <= (3, 13):
+        raise RuntimeError("subinterpreters require at least Python 3.13")
+
+    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 worker.call(func, args, 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 that is 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