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gh-133485: Use interpreters.Interpreter in InterpreterPoolExecutor (gh-133957)
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Most importantly, this resolves the issues with functions and types defined in __main__. It also expands the number of supported objects and simplifies the implementation.
This commit is contained in:
parent
15f2bac02c
commit
725da50520
5 changed files with 266 additions and 205 deletions
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@ -265,7 +265,7 @@ Each worker's interpreter is isolated from all the other interpreters.
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"Isolated" means each interpreter has its own runtime state and
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operates completely independently. For example, if you redirect
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:data:`sys.stdout` in one interpreter, it will not be automatically
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redirected any other interpreter. If you import a module in one
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redirected to any other interpreter. If you import a module in one
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interpreter, it is not automatically imported in any other. You
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would need to import the module separately in interpreter where
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you need it. In fact, each module imported in an interpreter is
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@ -287,7 +287,7 @@ efficient alternative is to serialize with :mod:`pickle` and then send
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the bytes over a shared :mod:`socket <socket>` or
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:func:`pipe <os.pipe>`.
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.. class:: InterpreterPoolExecutor(max_workers=None, thread_name_prefix='', initializer=None, initargs=(), shared=None)
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.. class:: InterpreterPoolExecutor(max_workers=None, thread_name_prefix='', initializer=None, initargs=())
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A :class:`ThreadPoolExecutor` subclass that executes calls asynchronously
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using a pool of at most *max_workers* threads. Each thread runs
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@ -304,21 +304,10 @@ the bytes over a shared :mod:`socket <socket>` or
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and *initargs* using :mod:`pickle` when sending them to the worker's
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interpreter.
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.. note::
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Functions defined in the ``__main__`` module cannot be pickled
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and thus cannot be used.
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.. note::
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The executor may replace uncaught exceptions from *initializer*
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with :class:`~concurrent.futures.interpreter.ExecutionFailed`.
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The optional *shared* argument is a :class:`dict` of objects that all
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interpreters in the pool share. The *shared* items are added to each
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interpreter's ``__main__`` module. Not all objects are shareable.
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Shareable objects include the builtin singletons, :class:`str`
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and :class:`bytes`, and :class:`memoryview`. See :pep:`734`
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for more info.
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Other caveats from parent :class:`ThreadPoolExecutor` apply here.
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:meth:`~Executor.submit` and :meth:`~Executor.map` work like normal,
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@ -326,10 +315,6 @@ except the worker serializes the callable and arguments using
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:mod:`pickle` when sending them to its interpreter. The worker
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likewise serializes the return value when sending it back.
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.. note::
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Functions defined in the ``__main__`` module cannot be pickled
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and thus cannot be used.
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When a worker's current task raises an uncaught exception, the worker
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always tries to preserve the exception as-is. If that is successful
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then it also sets the ``__cause__`` to a corresponding
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@ -1,56 +1,39 @@
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"""Implements InterpreterPoolExecutor."""
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import contextlib
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import pickle
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from concurrent import interpreters
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import sys
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import textwrap
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from . import thread as _thread
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import _interpreters
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import _interpqueues
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import traceback
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class ExecutionFailed(_interpreters.InterpreterError):
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"""An unhandled exception happened during execution."""
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def __init__(self, excinfo):
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msg = excinfo.formatted
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if not msg:
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if excinfo.type and excinfo.msg:
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msg = f'{excinfo.type.__name__}: {excinfo.msg}'
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else:
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msg = excinfo.type.__name__ or excinfo.msg
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super().__init__(msg)
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self.excinfo = excinfo
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def __str__(self):
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def do_call(results, func, args, kwargs):
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try:
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return func(*args, **kwargs)
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except BaseException as exc:
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# Send the captured exception out on the results queue,
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# but still leave it unhandled for the interpreter to handle.
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try:
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formatted = self.excinfo.errdisplay
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except Exception:
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return super().__str__()
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else:
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return textwrap.dedent(f"""
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{super().__str__()}
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Uncaught in the interpreter:
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{formatted}
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""".strip())
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results.put(exc)
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except interpreters.NotShareableError:
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# The exception is not shareable.
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print('exception is not shareable:', file=sys.stderr)
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traceback.print_exception(exc)
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results.put(None)
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raise # re-raise
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class WorkerContext(_thread.WorkerContext):
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@classmethod
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def prepare(cls, initializer, initargs, shared):
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def prepare(cls, initializer, initargs):
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def resolve_task(fn, args, kwargs):
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if isinstance(fn, str):
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# XXX Circle back to this later.
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raise TypeError('scripts not supported')
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else:
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# Functions defined in the __main__ module can't be pickled,
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# so they can't be used here. In the future, we could possibly
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# borrow from multiprocessing to work around this.
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task = (fn, args, kwargs)
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data = pickle.dumps(task)
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return data
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return task
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if initializer is not None:
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try:
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@ -62,68 +45,24 @@ class WorkerContext(_thread.WorkerContext):
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else:
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initdata = None
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def create_context():
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return cls(initdata, shared)
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return cls(initdata)
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return create_context, resolve_task
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@classmethod
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@contextlib.contextmanager
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def _capture_exc(cls, resultsid):
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try:
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yield
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except BaseException as exc:
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# Send the captured exception out on the results queue,
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# but still leave it unhandled for the interpreter to handle.
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_interpqueues.put(resultsid, (None, exc))
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raise # re-raise
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@classmethod
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def _send_script_result(cls, resultsid):
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_interpqueues.put(resultsid, (None, None))
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@classmethod
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def _call(cls, func, args, kwargs, resultsid):
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with cls._capture_exc(resultsid):
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res = func(*args or (), **kwargs or {})
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# Send the result back.
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with cls._capture_exc(resultsid):
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_interpqueues.put(resultsid, (res, None))
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@classmethod
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def _call_pickled(cls, pickled, resultsid):
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with cls._capture_exc(resultsid):
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fn, args, kwargs = pickle.loads(pickled)
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cls._call(fn, args, kwargs, resultsid)
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def __init__(self, initdata, shared=None):
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def __init__(self, initdata):
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self.initdata = initdata
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self.shared = dict(shared) if shared else None
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self.interpid = None
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self.resultsid = None
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self.interp = None
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self.results = None
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def __del__(self):
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if self.interpid is not None:
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if self.interp is not None:
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self.finalize()
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def _exec(self, script):
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assert self.interpid is not None
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excinfo = _interpreters.exec(self.interpid, script, restrict=True)
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if excinfo is not None:
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raise ExecutionFailed(excinfo)
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def initialize(self):
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assert self.interpid is None, self.interpid
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self.interpid = _interpreters.create(reqrefs=True)
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assert self.interp is None, self.interp
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self.interp = interpreters.create()
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try:
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_interpreters.incref(self.interpid)
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maxsize = 0
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self.resultsid = _interpqueues.create(maxsize)
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self._exec(f'from {__name__} import WorkerContext')
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if self.shared:
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_interpreters.set___main___attrs(
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self.interpid, self.shared, restrict=True)
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self.results = interpreters.create_queue(maxsize)
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if self.initdata:
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self.run(self.initdata)
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@ -132,53 +71,25 @@ class WorkerContext(_thread.WorkerContext):
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raise # re-raise
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def finalize(self):
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interpid = self.interpid
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resultsid = self.resultsid
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self.resultsid = None
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self.interpid = None
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if resultsid is not None:
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try:
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_interpqueues.destroy(resultsid)
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except _interpqueues.QueueNotFoundError:
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pass
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if interpid is not None:
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try:
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_interpreters.decref(interpid)
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except _interpreters.InterpreterNotFoundError:
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pass
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interp = self.interp
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results = self.results
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self.results = None
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self.interp = None
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if results is not None:
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del results
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if interp is not None:
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interp.close()
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def run(self, task):
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data = task
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script = f'WorkerContext._call_pickled({data!r}, {self.resultsid})'
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try:
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self._exec(script)
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except ExecutionFailed as exc:
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exc_wrapper = exc
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else:
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exc_wrapper = None
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# Return the result, or raise the exception.
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while True:
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try:
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obj = _interpqueues.get(self.resultsid)
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except _interpqueues.QueueNotFoundError:
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return self.interp.call(do_call, self.results, *task)
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except interpreters.ExecutionFailed as wrapper:
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# Wait for the exception data to show up.
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exc = self.results.get()
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if exc is None:
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# The exception must have been not shareable.
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raise # re-raise
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except _interpqueues.QueueError:
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continue
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except ModuleNotFoundError:
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# interpreters._queues doesn't exist, which means
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# QueueEmpty doesn't. Act as though it does.
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continue
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else:
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break
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(res, exc), unboundop = obj
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assert unboundop is None, unboundop
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if exc is not None:
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assert res is None, res
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assert exc_wrapper is not None
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raise exc from exc_wrapper
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return res
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raise exc from wrapper
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class BrokenInterpreterPool(_thread.BrokenThreadPool):
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@ -192,11 +103,11 @@ class InterpreterPoolExecutor(_thread.ThreadPoolExecutor):
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BROKEN = BrokenInterpreterPool
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@classmethod
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def prepare_context(cls, initializer, initargs, shared):
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return WorkerContext.prepare(initializer, initargs, shared)
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def prepare_context(cls, initializer, initargs):
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return WorkerContext.prepare(initializer, initargs)
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def __init__(self, max_workers=None, thread_name_prefix='',
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initializer=None, initargs=(), shared=None):
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initializer=None, initargs=()):
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"""Initializes a new InterpreterPoolExecutor instance.
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Args:
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@ -206,8 +117,6 @@ class InterpreterPoolExecutor(_thread.ThreadPoolExecutor):
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initializer: A callable or script used to initialize
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each worker interpreter.
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initargs: A tuple of arguments to pass to the initializer.
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shared: A mapping of shareabled objects to be inserted into
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each worker interpreter.
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"""
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super().__init__(max_workers, thread_name_prefix,
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initializer, initargs, shared=shared)
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initializer, initargs)
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@ -20,6 +20,10 @@ INITIALIZER_STATUS = 'uninitialized'
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def init(x):
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global INITIALIZER_STATUS
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INITIALIZER_STATUS = x
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# InterpreterPoolInitializerTest.test_initializer fails
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# if we don't have a LOAD_GLOBAL. (It could be any global.)
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# We will address this separately.
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INITIALIZER_STATUS
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def get_init_status():
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return INITIALIZER_STATUS
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@ -2,35 +2,78 @@ import asyncio
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import contextlib
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import io
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import os
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import pickle
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import sys
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import time
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import unittest
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from concurrent.futures.interpreter import (
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ExecutionFailed, BrokenInterpreterPool,
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)
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from concurrent.futures.interpreter import BrokenInterpreterPool
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from concurrent import interpreters
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from concurrent.interpreters import _queues as queues
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import _interpreters
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from test import support
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from test.support import os_helper
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from test.support import script_helper
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import test.test_asyncio.utils as testasyncio_utils
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from .executor import ExecutorTest, mul
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from .util import BaseTestCase, InterpreterPoolMixin, setup_module
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WINDOWS = sys.platform.startswith('win')
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@contextlib.contextmanager
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def nonblocking(fd):
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blocking = os.get_blocking(fd)
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if blocking:
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os.set_blocking(fd, False)
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try:
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yield
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finally:
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if blocking:
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os.set_blocking(fd, blocking)
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def read_file_with_timeout(fd, nbytes, timeout):
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with nonblocking(fd):
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end = time.time() + timeout
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try:
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return os.read(fd, nbytes)
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except BlockingIOError:
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pass
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while time.time() < end:
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try:
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return os.read(fd, nbytes)
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except BlockingIOError:
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continue
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else:
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raise TimeoutError('nothing to read')
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if not WINDOWS:
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import select
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def read_file_with_timeout(fd, nbytes, timeout):
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r, _, _ = select.select([fd], [], [], timeout)
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if fd not in r:
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raise TimeoutError('nothing to read')
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return os.read(fd, nbytes)
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def noop():
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pass
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def write_msg(fd, msg):
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import os
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os.write(fd, msg + b'\0')
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def read_msg(fd):
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def read_msg(fd, timeout=10.0):
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msg = b''
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while ch := os.read(fd, 1):
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if ch == b'\0':
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return msg
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ch = read_file_with_timeout(fd, 1, timeout)
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while ch != b'\0':
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msg += ch
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ch = os.read(fd, 1)
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return msg
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def get_current_name():
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self.assertEqual(before, b'\0')
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self.assertEqual(after, msg)
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def test_init_with___main___global(self):
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# See https://github.com/python/cpython/pull/133957#issuecomment-2927415311.
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text = """if True:
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from concurrent.futures import InterpreterPoolExecutor
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INITIALIZER_STATUS = 'uninitialized'
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def init(x):
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global INITIALIZER_STATUS
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INITIALIZER_STATUS = x
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INITIALIZER_STATUS
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def get_init_status():
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return INITIALIZER_STATUS
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if __name__ == "__main__":
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exe = InterpreterPoolExecutor(initializer=init,
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initargs=('initialized',))
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fut = exe.submit(get_init_status)
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print(fut.result()) # 'initialized'
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exe.shutdown(wait=True)
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print(INITIALIZER_STATUS) # 'uninitialized'
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"""
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with os_helper.temp_dir() as tempdir:
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filename = script_helper.make_script(tempdir, 'my-script', text)
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res = script_helper.assert_python_ok(filename)
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stdout = res.out.decode('utf-8').strip()
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self.assertEqual(stdout.splitlines(), [
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'initialized',
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'uninitialized',
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])
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def test_init_closure(self):
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count = 0
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def init1():
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@ -121,10 +196,19 @@ class InterpreterPoolExecutorTest(
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nonlocal count
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count += 1
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with self.assertRaises(pickle.PicklingError):
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self.executor_type(initializer=init1)
|
||||
with self.assertRaises(pickle.PicklingError):
|
||||
self.executor_type(initializer=init2)
|
||||
with contextlib.redirect_stderr(io.StringIO()) as stderr:
|
||||
with self.executor_type(initializer=init1) as executor:
|
||||
fut = executor.submit(lambda: None)
|
||||
self.assertIn('NotShareableError', stderr.getvalue())
|
||||
with self.assertRaises(BrokenInterpreterPool):
|
||||
fut.result()
|
||||
|
||||
with contextlib.redirect_stderr(io.StringIO()) as stderr:
|
||||
with self.executor_type(initializer=init2) as executor:
|
||||
fut = executor.submit(lambda: None)
|
||||
self.assertIn('NotShareableError', stderr.getvalue())
|
||||
with self.assertRaises(BrokenInterpreterPool):
|
||||
fut.result()
|
||||
|
||||
def test_init_instance_method(self):
|
||||
class Spam:
|
||||
|
@ -132,26 +216,12 @@ class InterpreterPoolExecutorTest(
|
|||
raise NotImplementedError
|
||||
spam = Spam()
|
||||
|
||||
with self.assertRaises(pickle.PicklingError):
|
||||
self.executor_type(initializer=spam.initializer)
|
||||
|
||||
def test_init_shared(self):
|
||||
msg = b'eggs'
|
||||
r, w = self.pipe()
|
||||
script = f"""if True:
|
||||
import os
|
||||
if __name__ != '__main__':
|
||||
import __main__
|
||||
spam = __main__.spam
|
||||
os.write({w}, spam + b'\\0')
|
||||
"""
|
||||
|
||||
executor = self.executor_type(shared={'spam': msg})
|
||||
fut = executor.submit(exec, script)
|
||||
fut.result()
|
||||
after = read_msg(r)
|
||||
|
||||
self.assertEqual(after, msg)
|
||||
with contextlib.redirect_stderr(io.StringIO()) as stderr:
|
||||
with self.executor_type(initializer=spam.initializer) as executor:
|
||||
fut = executor.submit(lambda: None)
|
||||
self.assertIn('NotShareableError', stderr.getvalue())
|
||||
with self.assertRaises(BrokenInterpreterPool):
|
||||
fut.result()
|
||||
|
||||
@unittest.expectedFailure
|
||||
def test_init_exception_in_script(self):
|
||||
|
@ -178,8 +248,6 @@ class InterpreterPoolExecutorTest(
|
|||
stderr = stderr.getvalue()
|
||||
self.assertIn('ExecutionFailed: Exception: spam', stderr)
|
||||
self.assertIn('Uncaught in the interpreter:', stderr)
|
||||
self.assertIn('The above exception was the direct cause of the following exception:',
|
||||
stderr)
|
||||
|
||||
@unittest.expectedFailure
|
||||
def test_submit_script(self):
|
||||
|
@ -208,10 +276,14 @@ class InterpreterPoolExecutorTest(
|
|||
return spam
|
||||
|
||||
executor = self.executor_type()
|
||||
with self.assertRaises(pickle.PicklingError):
|
||||
executor.submit(task1)
|
||||
with self.assertRaises(pickle.PicklingError):
|
||||
executor.submit(task2)
|
||||
|
||||
fut = executor.submit(task1)
|
||||
with self.assertRaises(_interpreters.NotShareableError):
|
||||
fut.result()
|
||||
|
||||
fut = executor.submit(task2)
|
||||
with self.assertRaises(_interpreters.NotShareableError):
|
||||
fut.result()
|
||||
|
||||
def test_submit_local_instance(self):
|
||||
class Spam:
|
||||
|
@ -219,8 +291,9 @@ class InterpreterPoolExecutorTest(
|
|||
self.value = True
|
||||
|
||||
executor = self.executor_type()
|
||||
with self.assertRaises(pickle.PicklingError):
|
||||
executor.submit(Spam)
|
||||
fut = executor.submit(Spam)
|
||||
with self.assertRaises(_interpreters.NotShareableError):
|
||||
fut.result()
|
||||
|
||||
def test_submit_instance_method(self):
|
||||
class Spam:
|
||||
|
@ -229,8 +302,9 @@ class InterpreterPoolExecutorTest(
|
|||
spam = Spam()
|
||||
|
||||
executor = self.executor_type()
|
||||
with self.assertRaises(pickle.PicklingError):
|
||||
executor.submit(spam.run)
|
||||
fut = executor.submit(spam.run)
|
||||
with self.assertRaises(_interpreters.NotShareableError):
|
||||
fut.result()
|
||||
|
||||
def test_submit_func_globals(self):
|
||||
executor = self.executor_type()
|
||||
|
@ -242,13 +316,14 @@ class InterpreterPoolExecutorTest(
|
|||
|
||||
@unittest.expectedFailure
|
||||
def test_submit_exception_in_script(self):
|
||||
# Scripts are not supported currently.
|
||||
fut = self.executor.submit('raise Exception("spam")')
|
||||
with self.assertRaises(Exception) as captured:
|
||||
fut.result()
|
||||
self.assertIs(type(captured.exception), Exception)
|
||||
self.assertEqual(str(captured.exception), 'spam')
|
||||
cause = captured.exception.__cause__
|
||||
self.assertIs(type(cause), ExecutionFailed)
|
||||
self.assertIs(type(cause), interpreters.ExecutionFailed)
|
||||
for attr in ('__name__', '__qualname__', '__module__'):
|
||||
self.assertEqual(getattr(cause.excinfo.type, attr),
|
||||
getattr(Exception, attr))
|
||||
|
@ -261,7 +336,7 @@ class InterpreterPoolExecutorTest(
|
|||
self.assertIs(type(captured.exception), Exception)
|
||||
self.assertEqual(str(captured.exception), 'spam')
|
||||
cause = captured.exception.__cause__
|
||||
self.assertIs(type(cause), ExecutionFailed)
|
||||
self.assertIs(type(cause), interpreters.ExecutionFailed)
|
||||
for attr in ('__name__', '__qualname__', '__module__'):
|
||||
self.assertEqual(getattr(cause.excinfo.type, attr),
|
||||
getattr(Exception, attr))
|
||||
|
@ -269,16 +344,93 @@ class InterpreterPoolExecutorTest(
|
|||
|
||||
def test_saturation(self):
|
||||
blocker = queues.create()
|
||||
executor = self.executor_type(4, shared=dict(blocker=blocker))
|
||||
executor = self.executor_type(4)
|
||||
|
||||
for i in range(15 * executor._max_workers):
|
||||
executor.submit(exec, 'import __main__; __main__.blocker.get()')
|
||||
#executor.submit('blocker.get()')
|
||||
executor.submit(blocker.get)
|
||||
self.assertEqual(len(executor._threads), executor._max_workers)
|
||||
for i in range(15 * executor._max_workers):
|
||||
blocker.put_nowait(None)
|
||||
executor.shutdown(wait=True)
|
||||
|
||||
def test_blocking(self):
|
||||
# There is no guarantee that a worker will be created for every
|
||||
# submitted task. That's because there's a race between:
|
||||
#
|
||||
# * a new worker thread, created when task A was just submitted,
|
||||
# becoming non-idle when it picks up task A
|
||||
# * after task B is added to the queue, a new worker thread
|
||||
# is started only if there are no idle workers
|
||||
# (the check in ThreadPoolExecutor._adjust_thread_count())
|
||||
#
|
||||
# That means we must not block waiting for *all* tasks to report
|
||||
# "ready" before we unblock the known-ready workers.
|
||||
ready = queues.create()
|
||||
blocker = queues.create()
|
||||
|
||||
def run(taskid, ready, blocker):
|
||||
# There can't be any globals here.
|
||||
ready.put_nowait(taskid)
|
||||
blocker.get() # blocking
|
||||
|
||||
numtasks = 10
|
||||
futures = []
|
||||
with self.executor_type() as executor:
|
||||
# Request the jobs.
|
||||
for i in range(numtasks):
|
||||
fut = executor.submit(run, i, ready, blocker)
|
||||
futures.append(fut)
|
||||
pending = numtasks
|
||||
while pending > 0:
|
||||
# Wait for any to be ready.
|
||||
done = 0
|
||||
for _ in range(pending):
|
||||
try:
|
||||
ready.get(timeout=1) # blocking
|
||||
except interpreters.QueueEmpty:
|
||||
pass
|
||||
else:
|
||||
done += 1
|
||||
pending -= done
|
||||
# Unblock the workers.
|
||||
for _ in range(done):
|
||||
blocker.put_nowait(None)
|
||||
|
||||
def test_blocking_with_limited_workers(self):
|
||||
# This is essentially the same as test_blocking,
|
||||
# but we explicitly force a limited number of workers,
|
||||
# instead of it happening implicitly sometimes due to a race.
|
||||
ready = queues.create()
|
||||
blocker = queues.create()
|
||||
|
||||
def run(taskid, ready, blocker):
|
||||
# There can't be any globals here.
|
||||
ready.put_nowait(taskid)
|
||||
blocker.get() # blocking
|
||||
|
||||
numtasks = 10
|
||||
futures = []
|
||||
with self.executor_type(4) as executor:
|
||||
# Request the jobs.
|
||||
for i in range(numtasks):
|
||||
fut = executor.submit(run, i, ready, blocker)
|
||||
futures.append(fut)
|
||||
pending = numtasks
|
||||
while pending > 0:
|
||||
# Wait for any to be ready.
|
||||
done = 0
|
||||
for _ in range(pending):
|
||||
try:
|
||||
ready.get(timeout=1) # blocking
|
||||
except interpreters.QueueEmpty:
|
||||
pass
|
||||
else:
|
||||
done += 1
|
||||
pending -= done
|
||||
# Unblock the workers.
|
||||
for _ in range(done):
|
||||
blocker.put_nowait(None)
|
||||
|
||||
@support.requires_gil_enabled("gh-117344: test is flaky without the GIL")
|
||||
def test_idle_thread_reuse(self):
|
||||
executor = self.executor_type()
|
||||
|
@ -289,12 +441,21 @@ class InterpreterPoolExecutorTest(
|
|||
executor.shutdown(wait=True)
|
||||
|
||||
def test_pickle_errors_propagate(self):
|
||||
# GH-125864: Pickle errors happen before the script tries to execute, so the
|
||||
# queue used to wait infinitely.
|
||||
|
||||
# GH-125864: Pickle errors happen before the script tries to execute,
|
||||
# so the queue used to wait infinitely.
|
||||
fut = self.executor.submit(PickleShenanigans(0))
|
||||
with self.assertRaisesRegex(RuntimeError, "gotcha"):
|
||||
expected = interpreters.NotShareableError
|
||||
with self.assertRaisesRegex(expected, 'args not shareable') as cm:
|
||||
fut.result()
|
||||
self.assertRegex(str(cm.exception.__cause__), 'unpickled')
|
||||
|
||||
def test_no_stale_references(self):
|
||||
# Weak references don't cross between interpreters.
|
||||
raise unittest.SkipTest('not applicable')
|
||||
|
||||
def test_free_reference(self):
|
||||
# Weak references don't cross between interpreters.
|
||||
raise unittest.SkipTest('not applicable')
|
||||
|
||||
|
||||
class AsyncioTest(InterpretersMixin, testasyncio_utils.TestCase):
|
||||
|
|
|
@ -674,7 +674,9 @@ _PyPickle_Loads(struct _unpickle_context *ctx, PyObject *pickled)
|
|||
|
||||
finally:
|
||||
if (exc != NULL) {
|
||||
sync_module_capture_exc(tstate, &ctx->main);
|
||||
if (_PyErr_Occurred(tstate)) {
|
||||
sync_module_capture_exc(tstate, &ctx->main);
|
||||
}
|
||||
// We restore the original exception.
|
||||
// It might make sense to chain it (__context__).
|
||||
_PyErr_SetRaisedException(tstate, exc);
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue