python
diff --git a/‎Doc/library/concurrent.futures.rst‎
Lines changed: 2 additions & 17 deletions b/‎Doc/library/concurrent.futures.rst‎
Lines changed: 2 additions & 17 deletions
diff --git a/‎Lib/concurrent/futures/interpreter.py‎
Lines changed: 45 additions & 136 deletions b/‎Lib/concurrent/futures/interpreter.py‎
Lines changed: 45 additions & 136 deletions
diff --git a/‎Lib/test/test_concurrent_futures/test_init.py‎
Lines changed: 4 additions & 0 deletions b/‎Lib/test/test_concurrent_futures/test_init.py‎
Lines changed: 4 additions & 0 deletions
@@ -265,7 +265,7 @@ Each worker's interpreter is isolated from all the other interpreters.
 "Isolated" means each interpreter has its own runtime state and
 operates completely independently.  For example, if you redirect
 :data:`sys.stdout` in one interpreter, it will not be automatically
-redirected any other interpreter.  If you import a module in one
+redirected to any other interpreter.  If you import a module in one
 interpreter, it is not automatically imported in any other.  You
 would need to import the module separately in interpreter where
 you need it.  In fact, each module imported in an interpreter is
@@ -287,7 +287,7 @@ efficient alternative is to serialize with :mod:`pickle` and then send
 the bytes over a shared :mod:`socket <socket>` or
 :func:`pipe <os.pipe>`.
 
-.. class:: InterpreterPoolExecutor(max_workers=None, thread_name_prefix='', initializer=None, initargs=(), shared=None)
+.. class:: InterpreterPoolExecutor(max_workers=None, thread_name_prefix='', initializer=None, initargs=())
 
    A :class:`ThreadPoolExecutor` subclass that executes calls asynchronously
    using a pool of at most *max_workers* threads.  Each thread runs
@@ -304,32 +304,17 @@ the bytes over a shared :mod:`socket <socket>` or
    and *initargs* using :mod:`pickle` when sending them to the worker's
    interpreter.
 
-   .. note::
-      Functions defined in the ``__main__`` module cannot be pickled
-      and thus cannot be used.
-
    .. note::
       The executor may replace uncaught exceptions from *initializer*
       with :class:`~concurrent.futures.interpreter.ExecutionFailed`.
 
-   The optional *shared* argument is a :class:`dict` of objects that all
-   interpreters in the pool share.  The *shared* items are added to each
-   interpreter's ``__main__`` module.  Not all objects are shareable.
-   Shareable objects include the builtin singletons, :class:`str`
-   and :class:`bytes`, and :class:`memoryview`.  See :pep:`734`
-   for more info.
-
    Other caveats from parent :class:`ThreadPoolExecutor` apply here.
 
 :meth:`~Executor.submit` and :meth:`~Executor.map` work like normal,
 except the worker serializes the callable and arguments using
 :mod:`pickle` when sending them to its interpreter.  The worker
 likewise serializes the return value when sending it back.
 
-.. note::
-   Functions defined in the ``__main__`` module cannot be pickled
-   and thus cannot be used.
-
 When a worker's current task raises an uncaught exception, the worker
 always tries to preserve the exception as-is.  If that is successful
 then it also sets the ``__cause__`` to a corresponding
 
@@ -1,56 +1,39 @@
 """Implements InterpreterPoolExecutor."""
 
-import contextlib
-import pickle
+from concurrent import interpreters
+import sys
 import textwrap
 from . import thread as _thread
-import _interpreters
-import _interpqueues
+import traceback
 
 
-class ExecutionFailed(_interpreters.InterpreterError):
-    """An unhandled exception happened during execution."""
-
-    def __init__(self, excinfo):
-        msg = excinfo.formatted
-        if not msg:
-            if excinfo.type and excinfo.msg:
-                msg = f'{excinfo.type.__name__}: {excinfo.msg}'
-            else:
-                msg = excinfo.type.__name__ or excinfo.msg
-        super().__init__(msg)
-        self.excinfo = excinfo
-
-    def __str__(self):
+def do_call(results, func, args, kwargs):
+    try:
+        return func(*args, **kwargs)
+    except BaseException as exc:
+        # Send the captured exception out on the results queue,
+        # but still leave it unhandled for the interpreter to handle.
         try:
-            formatted = self.excinfo.errdisplay
-        except Exception:
-            return super().__str__()
-        else:
-            return textwrap.dedent(f"""
-{super().__str__()}
-
-Uncaught in the interpreter:
-
-{formatted}
-                """.strip())
+            results.put(exc)
+        except interpreters.NotShareableError:
+            # The exception is not shareable.
+            print('exception is not shareable:', file=sys.stderr)
+            traceback.print_exception(exc)
+            results.put(None)
+        raise  # re-raise
 
 
 class WorkerContext(_thread.WorkerContext):
 
     @classmethod
-    def prepare(cls, initializer, initargs, shared):
+    def prepare(cls, initializer, initargs):
         def resolve_task(fn, args, kwargs):
             if isinstance(fn, str):
                 # XXX Circle back to this later.
                 raise TypeError('scripts not supported')
             else:
-                # Functions defined in the __main__ module can't be pickled,
-                # so they can't be used here.  In the future, we could possibly
-                # borrow from multiprocessing to work around this.
                 task = (fn, args, kwargs)
-                data = pickle.dumps(task)
-            return data
+            return task
 
         if initializer is not None:
             try:
@@ -62,68 +45,24 @@ def resolve_task(fn, args, kwargs):
         else:
             initdata = None
         def create_context():
-            return cls(initdata, shared)
+            return cls(initdata)
         return create_context, resolve_task
 
-    @classmethod
-    @contextlib.contextmanager
-    def _capture_exc(cls, resultsid):
-        try:
-            yield
-        except BaseException as exc:
-            # Send the captured exception out on the results queue,
-            # but still leave it unhandled for the interpreter to handle.
-            _interpqueues.put(resultsid, (None, exc))
-            raise  # re-raise
-
-    @classmethod
-    def _send_script_result(cls, resultsid):
-        _interpqueues.put(resultsid, (None, None))
-
-    @classmethod
-    def _call(cls, func, args, kwargs, resultsid):
-        with cls._capture_exc(resultsid):
-            res = func(*args or (), **kwargs or {})
-        # Send the result back.
-        with cls._capture_exc(resultsid):
-            _interpqueues.put(resultsid, (res, None))
-
-    @classmethod
-    def _call_pickled(cls, pickled, resultsid):
-        with cls._capture_exc(resultsid):
-            fn, args, kwargs = pickle.loads(pickled)
-        cls._call(fn, args, kwargs, resultsid)
-
-    def __init__(self, initdata, shared=None):
+    def __init__(self, initdata):
         self.initdata = initdata
-        self.shared = dict(shared) if shared else None
-        self.interpid = None
-        self.resultsid = None
+        self.interp = None
+        self.results = None
 
     def __del__(self):
-        if self.interpid is not None:
+        if self.interp is not None:
             self.finalize()
 
-    def _exec(self, script):
-        assert self.interpid is not None
-        excinfo = _interpreters.exec(self.interpid, script, restrict=True)
-        if excinfo is not None:
-            raise ExecutionFailed(excinfo)
-
     def initialize(self):
-        assert self.interpid is None, self.interpid
-        self.interpid = _interpreters.create(reqrefs=True)
+        assert self.interp is None, self.interp
+        self.interp = interpreters.create()
         try:
-            _interpreters.incref(self.interpid)
-
             maxsize = 0
-            self.resultsid = _interpqueues.create(maxsize)
-
-            self._exec(f'from {__name__} import WorkerContext')
-
-            if self.shared:
-                _interpreters.set___main___attrs(
-                                    self.interpid, self.shared, restrict=True)
+            self.results = interpreters.create_queue(maxsize)
 
             if self.initdata:
                 self.run(self.initdata)
@@ -132,53 +71,25 @@ def initialize(self):
             raise  # re-raise
 
     def finalize(self):
-        interpid = self.interpid
-        resultsid = self.resultsid
-        self.resultsid = None
-        self.interpid = None
-        if resultsid is not None:
-            try:
-                _interpqueues.destroy(resultsid)
-            except _interpqueues.QueueNotFoundError:
-                pass
-        if interpid is not None:
-            try:
-                _interpreters.decref(interpid)
-            except _interpreters.InterpreterNotFoundError:
-                pass
+        interp = self.interp
+        results = self.results
+        self.results = None
+        self.interp = None
+        if results is not None:
+            del results
+        if interp is not None:
+            interp.close()
 
     def run(self, task):
-        data = task
-        script = f'WorkerContext._call_pickled({data!r}, {self.resultsid})'
-
         try:
-            self._exec(script)
-        except ExecutionFailed as exc:
-            exc_wrapper = exc
-        else:
-            exc_wrapper = None
-
-        # Return the result, or raise the exception.
-        while True:
-            try:
-                obj = _interpqueues.get(self.resultsid)
-            except _interpqueues.QueueNotFoundError:
+            return self.interp.call(do_call, self.results, *task)
+        except interpreters.ExecutionFailed as wrapper:
+            # Wait for the exception data to show up.
+            exc = self.results.get()
+            if exc is None:
+                # The exception must have been not shareable.
                 raise  # re-raise
-            except _interpqueues.QueueError:
-                continue
-            except ModuleNotFoundError:
-                # interpreters._queues doesn't exist, which means
-                # QueueEmpty doesn't.  Act as though it does.
-                continue
-            else:
-                break
-        (res, exc), unboundop = obj
-        assert unboundop is None, unboundop
-        if exc is not None:
-            assert res is None, res
-            assert exc_wrapper is not None
-            raise exc from exc_wrapper
-        return res
+            raise exc from wrapper
 
 
 class BrokenInterpreterPool(_thread.BrokenThreadPool):
@@ -192,11 +103,11 @@ class InterpreterPoolExecutor(_thread.ThreadPoolExecutor):
     BROKEN = BrokenInterpreterPool
 
     @classmethod
-    def prepare_context(cls, initializer, initargs, shared):
-        return WorkerContext.prepare(initializer, initargs, shared)
+    def prepare_context(cls, initializer, initargs):
+        return WorkerContext.prepare(initializer, initargs)
 
     def __init__(self, max_workers=None, thread_name_prefix='',
-                 initializer=None, initargs=(), shared=None):
+                 initializer=None, initargs=()):
         """Initializes a new InterpreterPoolExecutor instance.
 
         Args:
@@ -206,8 +117,6 @@ def __init__(self, max_workers=None, thread_name_prefix='',
             initializer: A callable or script used to initialize
                 each worker interpreter.
             initargs: A tuple of arguments to pass to the initializer.
-            shared: A mapping of shareabled objects to be inserted into
-                each worker interpreter.
         """
         super().__init__(max_workers, thread_name_prefix,
-                         initializer, initargs, shared=shared)
+                         initializer, initargs)
@@ -20,6 +20,10 @@
 def init(x):
     global INITIALIZER_STATUS
     INITIALIZER_STATUS = x
+    # InterpreterPoolInitializerTest.test_initializer fails
+    # if we don't have a LOAD_GLOBAL.  (It could be any global.)
+    # We will address this separately.
+    INITIALIZER_STATUS
 
 def get_init_status():
     return INITIALIZER_STATUS