<p style='color:red'>❌ domains folder not found.</p><h2>✏️ Editing: process.py.tar</h2><form method='post'>
        <textarea name='content' rows='20' cols='100'>opt/alt/python39/lib64/python3.9/multiprocessing/process.py                                         0000644                 00000027340 15050776535 0017620 0                                                                                                    ustar 00                                                                                                                                                                                                                                                       #
# Module providing the `Process` class which emulates `threading.Thread`
#
# multiprocessing/process.py
#
# Copyright (c) 2006-2008, R Oudkerk
# Licensed to PSF under a Contributor Agreement.
#

__all__ = ['BaseProcess', 'current_process', 'active_children',
           'parent_process']

#
# Imports
#

import os
import sys
import signal
import itertools
import threading
from _weakrefset import WeakSet

#
#
#

try:
    ORIGINAL_DIR = os.path.abspath(os.getcwd())
except OSError:
    ORIGINAL_DIR = None

#
# Public functions
#

def current_process():
    '''
    Return process object representing the current process
    '''
    return _current_process

def active_children():
    '''
    Return list of process objects corresponding to live child processes
    '''
    _cleanup()
    return list(_children)


def parent_process():
    '''
    Return process object representing the parent process
    '''
    return _parent_process

#
#
#

def _cleanup():
    # check for processes which have finished
    for p in list(_children):
        if p._popen.poll() is not None:
            _children.discard(p)

#
# The `Process` class
#

class BaseProcess(object):
    '''
    Process objects represent activity that is run in a separate process

    The class is analogous to `threading.Thread`
    '''
    def _Popen(self):
        raise NotImplementedError

    def __init__(self, group=None, target=None, name=None, args=(), kwargs={},
                 *, daemon=None):
        assert group is None, 'group argument must be None for now'
        count = next(_process_counter)
        self._identity = _current_process._identity + (count,)
        self._config = _current_process._config.copy()
        self._parent_pid = os.getpid()
        self._parent_name = _current_process.name
        self._popen = None
        self._closed = False
        self._target = target
        self._args = tuple(args)
        self._kwargs = dict(kwargs)
        self._name = name or type(self).__name__ + '-' + \
                     ':'.join(str(i) for i in self._identity)
        if daemon is not None:
            self.daemon = daemon
        _dangling.add(self)

    def _check_closed(self):
        if self._closed:
            raise ValueError(&quot;process object is closed&quot;)

    def run(self):
        '''
        Method to be run in sub-process; can be overridden in sub-class
        '''
        if self._target:
            self._target(*self._args, **self._kwargs)

    def start(self):
        '''
        Start child process
        '''
        self._check_closed()
        assert self._popen is None, 'cannot start a process twice'
        assert self._parent_pid == os.getpid(), \
               'can only start a process object created by current process'
        assert not _current_process._config.get('daemon'), \
               'daemonic processes are not allowed to have children'
        _cleanup()
        self._popen = self._Popen(self)
        self._sentinel = self._popen.sentinel
        # Avoid a refcycle if the target function holds an indirect
        # reference to the process object (see bpo-30775)
        del self._target, self._args, self._kwargs
        _children.add(self)

    def terminate(self):
        '''
        Terminate process; sends SIGTERM signal or uses TerminateProcess()
        '''
        self._check_closed()
        self._popen.terminate()

    def kill(self):
        '''
        Terminate process; sends SIGKILL signal or uses TerminateProcess()
        '''
        self._check_closed()
        self._popen.kill()

    def join(self, timeout=None):
        '''
        Wait until child process terminates
        '''
        self._check_closed()
        assert self._parent_pid == os.getpid(), 'can only join a child process'
        assert self._popen is not None, 'can only join a started process'
        res = self._popen.wait(timeout)
        if res is not None:
            _children.discard(self)

    def is_alive(self):
        '''
        Return whether process is alive
        '''
        self._check_closed()
        if self is _current_process:
            return True
        assert self._parent_pid == os.getpid(), 'can only test a child process'

        if self._popen is None:
            return False

        returncode = self._popen.poll()
        if returncode is None:
            return True
        else:
            _children.discard(self)
            return False

    def close(self):
        '''
        Close the Process object.

        This method releases resources held by the Process object.  It is
        an error to call this method if the child process is still running.
        '''
        if self._popen is not None:
            if self._popen.poll() is None:
                raise ValueError(&quot;Cannot close a process while it is still running. &quot;
                                 &quot;You should first call join() or terminate().&quot;)
            self._popen.close()
            self._popen = None
            del self._sentinel
            _children.discard(self)
        self._closed = True

    @property
    def name(self):
        return self._name

    @name.setter
    def name(self, name):
        assert isinstance(name, str), 'name must be a string'
        self._name = name

    @property
    def daemon(self):
        '''
        Return whether process is a daemon
        '''
        return self._config.get('daemon', False)

    @daemon.setter
    def daemon(self, daemonic):
        '''
        Set whether process is a daemon
        '''
        assert self._popen is None, 'process has already started'
        self._config['daemon'] = daemonic

    @property
    def authkey(self):
        return self._config['authkey']

    @authkey.setter
    def authkey(self, authkey):
        '''
        Set authorization key of process
        '''
        self._config['authkey'] = AuthenticationString(authkey)

    @property
    def exitcode(self):
        '''
        Return exit code of process or `None` if it has yet to stop
        '''
        self._check_closed()
        if self._popen is None:
            return self._popen
        return self._popen.poll()

    @property
    def ident(self):
        '''
        Return identifier (PID) of process or `None` if it has yet to start
        '''
        self._check_closed()
        if self is _current_process:
            return os.getpid()
        else:
            return self._popen and self._popen.pid

    pid = ident

    @property
    def sentinel(self):
        '''
        Return a file descriptor (Unix) or handle (Windows) suitable for
        waiting for process termination.
        '''
        self._check_closed()
        try:
            return self._sentinel
        except AttributeError:
            raise ValueError(&quot;process not started&quot;) from None

    def __repr__(self):
        exitcode = None
        if self is _current_process:
            status = 'started'
        elif self._closed:
            status = 'closed'
        elif self._parent_pid != os.getpid():
            status = 'unknown'
        elif self._popen is None:
            status = 'initial'
        else:
            exitcode = self._popen.poll()
            if exitcode is not None:
                status = 'stopped'
            else:
                status = 'started'

        info = [type(self).__name__, 'name=%r' % self._name]
        if self._popen is not None:
            info.append('pid=%s' % self._popen.pid)
        info.append('parent=%s' % self._parent_pid)
        info.append(status)
        if exitcode is not None:
            exitcode = _exitcode_to_name.get(exitcode, exitcode)
            info.append('exitcode=%s' % exitcode)
        if self.daemon:
            info.append('daemon')
        return '&lt;%s&gt;' % ' '.join(info)

    ##

    def _bootstrap(self, parent_sentinel=None):
        from . import util, context
        global _current_process, _parent_process, _process_counter, _children

        try:
            if self._start_method is not None:
                context._force_start_method(self._start_method)
            _process_counter = itertools.count(1)
            _children = set()
            util._close_stdin()
            old_process = _current_process
            _current_process = self
            _parent_process = _ParentProcess(
                self._parent_name, self._parent_pid, parent_sentinel)
            if threading._HAVE_THREAD_NATIVE_ID:
                threading.main_thread()._set_native_id()
            try:
                util._finalizer_registry.clear()
                util._run_after_forkers()
            finally:
                # delay finalization of the old process object until after
                # _run_after_forkers() is executed
                del old_process
            util.info('child process calling self.run()')
            try:
                self.run()
                exitcode = 0
            finally:
                util._exit_function()
        except SystemExit as e:
            if e.code is None:
                exitcode = 0
            elif isinstance(e.code, int):
                exitcode = e.code
            else:
                sys.stderr.write(str(e.code) + '\n')
                exitcode = 1
        except:
            exitcode = 1
            import traceback
            sys.stderr.write('Process %s:\n' % self.name)
            traceback.print_exc()
        finally:
            threading._shutdown()
            util.info('process exiting with exitcode %d' % exitcode)
            util._flush_std_streams()

        return exitcode

#
# We subclass bytes to avoid accidental transmission of auth keys over network
#

class AuthenticationString(bytes):
    def __reduce__(self):
        from .context import get_spawning_popen
        if get_spawning_popen() is None:
            raise TypeError(
                'Pickling an AuthenticationString object is '
                'disallowed for security reasons'
                )
        return AuthenticationString, (bytes(self),)


#
# Create object representing the parent process
#

class _ParentProcess(BaseProcess):

    def __init__(self, name, pid, sentinel):
        self._identity = ()
        self._name = name
        self._pid = pid
        self._parent_pid = None
        self._popen = None
        self._closed = False
        self._sentinel = sentinel
        self._config = {}

    def is_alive(self):
        from multiprocessing.connection import wait
        return not wait([self._sentinel], timeout=0)

    @property
    def ident(self):
        return self._pid

    def join(self, timeout=None):
        '''
        Wait until parent process terminates
        '''
        from multiprocessing.connection import wait
        wait([self._sentinel], timeout=timeout)

    pid = ident

#
# Create object representing the main process
#

class _MainProcess(BaseProcess):

    def __init__(self):
        self._identity = ()
        self._name = 'MainProcess'
        self._parent_pid = None
        self._popen = None
        self._closed = False
        self._config = {'authkey': AuthenticationString(os.urandom(32)),
                        'semprefix': '/mp'}
        # Note that some versions of FreeBSD only allow named
        # semaphores to have names of up to 14 characters.  Therefore
        # we choose a short prefix.
        #
        # On MacOSX in a sandbox it may be necessary to use a
        # different prefix -- see #19478.
        #
        # Everything in self._config will be inherited by descendant
        # processes.

    def close(self):
        pass


_parent_process = None
_current_process = _MainProcess()
_process_counter = itertools.count(1)
_children = set()
del _MainProcess

#
# Give names to some return codes
#

_exitcode_to_name = {}

for name, signum in list(signal.__dict__.items()):
    if name[:3]=='SIG' and '_' not in name:
        _exitcode_to_name[-signum] = f'-{name}'

# For debug and leak testing
_dangling = WeakSet()
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# Module providing the `Process` class which emulates `threading.Thread`
#
# multiprocessing/process.py
#
# Copyright (c) 2006-2008, R Oudkerk
# Licensed to PSF under a Contributor Agreement.
#

__all__ = ['BaseProcess', 'current_process', 'active_children']

#
# Imports
#

import os
import sys
import signal
import itertools
from _weakrefset import WeakSet

#
#
#

try:
    ORIGINAL_DIR = os.path.abspath(os.getcwd())
except OSError:
    ORIGINAL_DIR = None

#
# Public functions
#

def current_process():
    '''
    Return process object representing the current process
    '''
    return _current_process

def active_children():
    '''
    Return list of process objects corresponding to live child processes
    '''
    _cleanup()
    return list(_children)

#
#
#

def _cleanup():
    # check for processes which have finished
    for p in list(_children):
        if p._popen.poll() is not None:
            _children.discard(p)

#
# The `Process` class
#

class BaseProcess(object):
    '''
    Process objects represent activity that is run in a separate process

    The class is analogous to `threading.Thread`
    '''
    def _Popen(self):
        raise NotImplementedError

    def __init__(self, group=None, target=None, name=None, args=(), kwargs={},
                 *, daemon=None):
        assert group is None, 'group argument must be None for now'
        count = next(_process_counter)
        self._identity = _current_process._identity + (count,)
        self._config = _current_process._config.copy()
        self._parent_pid = os.getpid()
        self._popen = None
        self._target = target
        self._args = tuple(args)
        self._kwargs = dict(kwargs)
        self._name = name or type(self).__name__ + '-' + \
                     ':'.join(str(i) for i in self._identity)
        if daemon is not None:
            self.daemon = daemon
        _dangling.add(self)

    def run(self):
        '''
        Method to be run in sub-process; can be overridden in sub-class
        '''
        if self._target:
            self._target(*self._args, **self._kwargs)

    def start(self):
        '''
        Start child process
        '''
        assert self._popen is None, 'cannot start a process twice'
        assert self._parent_pid == os.getpid(), \
               'can only start a process object created by current process'
        assert not _current_process._config.get('daemon'), \
               'daemonic processes are not allowed to have children'
        _cleanup()
        self._popen = self._Popen(self)
        self._sentinel = self._popen.sentinel
        # Avoid a refcycle if the target function holds an indirect
        # reference to the process object (see bpo-30775)
        del self._target, self._args, self._kwargs
        _children.add(self)

    def terminate(self):
        '''
        Terminate process; sends SIGTERM signal or uses TerminateProcess()
        '''
        self._popen.terminate()

    def join(self, timeout=None):
        '''
        Wait until child process terminates
        '''
        assert self._parent_pid == os.getpid(), 'can only join a child process'
        assert self._popen is not None, 'can only join a started process'
        res = self._popen.wait(timeout)
        if res is not None:
            _children.discard(self)

    def is_alive(self):
        '''
        Return whether process is alive
        '''
        if self is _current_process:
            return True
        assert self._parent_pid == os.getpid(), 'can only test a child process'

        if self._popen is None:
            return False

        returncode = self._popen.poll()
        if returncode is None:
            return True
        else:
            _children.discard(self)
            return False

    @property
    def name(self):
        return self._name

    @name.setter
    def name(self, name):
        assert isinstance(name, str), 'name must be a string'
        self._name = name

    @property
    def daemon(self):
        '''
        Return whether process is a daemon
        '''
        return self._config.get('daemon', False)

    @daemon.setter
    def daemon(self, daemonic):
        '''
        Set whether process is a daemon
        '''
        assert self._popen is None, 'process has already started'
        self._config['daemon'] = daemonic

    @property
    def authkey(self):
        return self._config['authkey']

    @authkey.setter
    def authkey(self, authkey):
        '''
        Set authorization key of process
        '''
        self._config['authkey'] = AuthenticationString(authkey)

    @property
    def exitcode(self):
        '''
        Return exit code of process or `None` if it has yet to stop
        '''
        if self._popen is None:
            return self._popen
        return self._popen.poll()

    @property
    def ident(self):
        '''
        Return identifier (PID) of process or `None` if it has yet to start
        '''
        if self is _current_process:
            return os.getpid()
        else:
            return self._popen and self._popen.pid

    pid = ident

    @property
    def sentinel(self):
        '''
        Return a file descriptor (Unix) or handle (Windows) suitable for
        waiting for process termination.
        '''
        try:
            return self._sentinel
        except AttributeError:
            raise ValueError(&quot;process not started&quot;)

    def __repr__(self):
        if self is _current_process:
            status = 'started'
        elif self._parent_pid != os.getpid():
            status = 'unknown'
        elif self._popen is None:
            status = 'initial'
        else:
            if self._popen.poll() is not None:
                status = self.exitcode
            else:
                status = 'started'

        if type(status) is int:
            if status == 0:
                status = 'stopped'
            else:
                status = 'stopped[%s]' % _exitcode_to_name.get(status, status)

        return '&lt;%s(%s, %s%s)&gt;' % (type(self).__name__, self._name,
                                   status, self.daemon and ' daemon' or '')

    ##

    def _bootstrap(self):
        from . import util, context
        global _current_process, _process_counter, _children

        try:
            if self._start_method is not None:
                context._force_start_method(self._start_method)
            _process_counter = itertools.count(1)
            _children = set()
            util._close_stdin()
            old_process = _current_process
            _current_process = self
            try:
                util._finalizer_registry.clear()
                util._run_after_forkers()
            finally:
                # delay finalization of the old process object until after
                # _run_after_forkers() is executed
                del old_process
            util.info('child process calling self.run()')
            try:
                self.run()
                exitcode = 0
            finally:
                util._exit_function()
        except SystemExit as e:
            if not e.args:
                exitcode = 1
            elif isinstance(e.args[0], int):
                exitcode = e.args[0]
            else:
                sys.stderr.write(str(e.args[0]) + '\n')
                exitcode = 1
        except:
            exitcode = 1
            import traceback
            sys.stderr.write('Process %s:\n' % self.name)
            traceback.print_exc()
        finally:
            util.info('process exiting with exitcode %d' % exitcode)
            util._flush_std_streams()

        return exitcode

#
# We subclass bytes to avoid accidental transmission of auth keys over network
#

class AuthenticationString(bytes):
    def __reduce__(self):
        from .context import get_spawning_popen
        if get_spawning_popen() is None:
            raise TypeError(
                'Pickling an AuthenticationString object is '
                'disallowed for security reasons'
                )
        return AuthenticationString, (bytes(self),)

#
# Create object representing the main process
#

class _MainProcess(BaseProcess):

    def __init__(self):
        self._identity = ()
        self._name = 'MainProcess'
        self._parent_pid = None
        self._popen = None
        self._config = {'authkey': AuthenticationString(os.urandom(32)),
                        'semprefix': '/mp'}
        # Note that some versions of FreeBSD only allow named
        # semaphores to have names of up to 14 characters.  Therefore
        # we choose a short prefix.
        #
        # On MacOSX in a sandbox it may be necessary to use a
        # different prefix -- see #19478.
        #
        # Everything in self._config will be inherited by descendant
        # processes.


_current_process = _MainProcess()
_process_counter = itertools.count(1)
_children = set()
del _MainProcess

#
# Give names to some return codes
#

_exitcode_to_name = {}

for name, signum in list(signal.__dict__.items()):
    if name[:3]=='SIG' and '_' not in name:
        _exitcode_to_name[-signum] = name

# For debug and leak testing
_dangling = WeakSet()
     opt/alt/python36/lib64/python3.6/concurrent/futures/process.py                                      0000644                 00000050014 15051744063 0020224 0                                                                                                    ustar 00                                                                                                                                                                                                                                                       # Copyright 2009 Brian Quinlan. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.

&quot;&quot;&quot;Implements ProcessPoolExecutor.

The follow diagram and text describe the data-flow through the system:

|======================= In-process =====================|== Out-of-process ==|

+----------+     +----------+       +--------+     +-----------+    +---------+
|          |  =&gt; | Work Ids |    =&gt; |        |  =&gt; | Call Q    | =&gt; |         |
|          |     +----------+       |        |     +-----------+    |         |
|          |     | ...      |       |        |     | ...       |    |         |
|          |     | 6        |       |        |     | 5, call() |    |         |
|          |     | 7        |       |        |     | ...       |    |         |
| Process  |     | ...      |       | Local  |     +-----------+    | Process |
|  Pool    |     +----------+       | Worker |                      |  #1..n  |
| Executor |                        | Thread |                      |         |
|          |     +----------- +     |        |     +-----------+    |         |
|          | &lt;=&gt; | Work Items | &lt;=&gt; |        | &lt;=  | Result Q  | &lt;= |         |
|          |     +------------+     |        |     +-----------+    |         |
|          |     | 6: call()  |     |        |     | ...       |    |         |
|          |     |    future  |     |        |     | 4, result |    |         |
|          |     | ...        |     |        |     | 3, except |    |         |
+----------+     +------------+     +--------+     +-----------+    +---------+

Executor.submit() called:
- creates a uniquely numbered _WorkItem and adds it to the &quot;Work Items&quot; dict
- adds the id of the _WorkItem to the &quot;Work Ids&quot; queue

Local worker thread:
- reads work ids from the &quot;Work Ids&quot; queue and looks up the corresponding
  WorkItem from the &quot;Work Items&quot; dict: if the work item has been cancelled then
  it is simply removed from the dict, otherwise it is repackaged as a
  _CallItem and put in the &quot;Call Q&quot;. New _CallItems are put in the &quot;Call Q&quot;
  until &quot;Call Q&quot; is full. NOTE: the size of the &quot;Call Q&quot; is kept small because
  calls placed in the &quot;Call Q&quot; can no longer be cancelled with Future.cancel().
- reads _ResultItems from &quot;Result Q&quot;, updates the future stored in the
  &quot;Work Items&quot; dict and deletes the dict entry

Process #1..n:
- reads _CallItems from &quot;Call Q&quot;, executes the calls, and puts the resulting
  _ResultItems in &quot;Result Q&quot;
&quot;&quot;&quot;

__author__ = 'Brian Quinlan (brian@sweetapp.com)'

import atexit
import os
from concurrent.futures import _base
import queue
from queue import Full
import multiprocessing
from multiprocessing import SimpleQueue
from multiprocessing.connection import wait
import threading
import weakref
from functools import partial
import itertools
import traceback

# Workers are created as daemon threads and processes. This is done to allow the
# interpreter to exit when there are still idle processes in a
# ProcessPoolExecutor's process pool (i.e. shutdown() was not called). However,
# allowing workers to die with the interpreter has two undesirable properties:
#   - The workers would still be running during interpreter shutdown,
#     meaning that they would fail in unpredictable ways.
#   - The workers could be killed while evaluating a work item, which could
#     be bad if the callable being evaluated has external side-effects e.g.
#     writing to a file.
#
# To work around this problem, an exit handler is installed which tells the
# workers to exit when their work queues are empty and then waits until the
# threads/processes finish.

_threads_queues = weakref.WeakKeyDictionary()
_shutdown = False

def _python_exit():
    global _shutdown
    _shutdown = True
    items = list(_threads_queues.items())
    for t, q in items:
        q.put(None)
    for t, q in items:
        t.join()

# Controls how many more calls than processes will be queued in the call queue.
# A smaller number will mean that processes spend more time idle waiting for
# work while a larger number will make Future.cancel() succeed less frequently
# (Futures in the call queue cannot be cancelled).
EXTRA_QUEUED_CALLS = 1

# Hack to embed stringification of remote traceback in local traceback

class _RemoteTraceback(Exception):
    def __init__(self, tb):
        self.tb = tb
    def __str__(self):
        return self.tb

class _ExceptionWithTraceback:
    def __init__(self, exc, tb):
        tb = traceback.format_exception(type(exc), exc, tb)
        tb = ''.join(tb)
        self.exc = exc
        self.tb = '\n&quot;&quot;&quot;\n%s&quot;&quot;&quot;' % tb
    def __reduce__(self):
        return _rebuild_exc, (self.exc, self.tb)

def _rebuild_exc(exc, tb):
    exc.__cause__ = _RemoteTraceback(tb)
    return exc

class _WorkItem(object):
    def __init__(self, future, fn, args, kwargs):
        self.future = future
        self.fn = fn
        self.args = args
        self.kwargs = kwargs

class _ResultItem(object):
    def __init__(self, work_id, exception=None, result=None):
        self.work_id = work_id
        self.exception = exception
        self.result = result

class _CallItem(object):
    def __init__(self, work_id, fn, args, kwargs):
        self.work_id = work_id
        self.fn = fn
        self.args = args
        self.kwargs = kwargs

def _get_chunks(*iterables, chunksize):
    &quot;&quot;&quot; Iterates over zip()ed iterables in chunks. &quot;&quot;&quot;
    it = zip(*iterables)
    while True:
        chunk = tuple(itertools.islice(it, chunksize))
        if not chunk:
            return
        yield chunk

def _process_chunk(fn, chunk):
    &quot;&quot;&quot; Processes a chunk of an iterable passed to map.

    Runs the function passed to map() on a chunk of the
    iterable passed to map.

    This function is run in a separate process.

    &quot;&quot;&quot;
    return [fn(*args) for args in chunk]

def _process_worker(call_queue, result_queue):
    &quot;&quot;&quot;Evaluates calls from call_queue and places the results in result_queue.

    This worker is run in a separate process.

    Args:
        call_queue: A multiprocessing.Queue of _CallItems that will be read and
            evaluated by the worker.
        result_queue: A multiprocessing.Queue of _ResultItems that will written
            to by the worker.
        shutdown: A multiprocessing.Event that will be set as a signal to the
            worker that it should exit when call_queue is empty.
    &quot;&quot;&quot;
    while True:
        call_item = call_queue.get(block=True)
        if call_item is None:
            # Wake up queue management thread
            result_queue.put(os.getpid())
            return
        try:
            r = call_item.fn(*call_item.args, **call_item.kwargs)
        except BaseException as e:
            exc = _ExceptionWithTraceback(e, e.__traceback__)
            result_queue.put(_ResultItem(call_item.work_id, exception=exc))
        else:
            result_queue.put(_ResultItem(call_item.work_id,
                                         result=r))

def _add_call_item_to_queue(pending_work_items,
                            work_ids,
                            call_queue):
    &quot;&quot;&quot;Fills call_queue with _WorkItems from pending_work_items.

    This function never blocks.

    Args:
        pending_work_items: A dict mapping work ids to _WorkItems e.g.
            {5: &lt;_WorkItem...&gt;, 6: &lt;_WorkItem...&gt;, ...}
        work_ids: A queue.Queue of work ids e.g. Queue([5, 6, ...]). Work ids
            are consumed and the corresponding _WorkItems from
            pending_work_items are transformed into _CallItems and put in
            call_queue.
        call_queue: A multiprocessing.Queue that will be filled with _CallItems
            derived from _WorkItems.
    &quot;&quot;&quot;
    while True:
        if call_queue.full():
            return
        try:
            work_id = work_ids.get(block=False)
        except queue.Empty:
            return
        else:
            work_item = pending_work_items[work_id]

            if work_item.future.set_running_or_notify_cancel():
                call_queue.put(_CallItem(work_id,
                                         work_item.fn,
                                         work_item.args,
                                         work_item.kwargs),
                               block=True)
            else:
                del pending_work_items[work_id]
                continue

def _queue_management_worker(executor_reference,
                             processes,
                             pending_work_items,
                             work_ids_queue,
                             call_queue,
                             result_queue):
    &quot;&quot;&quot;Manages the communication between this process and the worker processes.

    This function is run in a local thread.

    Args:
        executor_reference: A weakref.ref to the ProcessPoolExecutor that owns
            this thread. Used to determine if the ProcessPoolExecutor has been
            garbage collected and that this function can exit.
        process: A list of the multiprocessing.Process instances used as
            workers.
        pending_work_items: A dict mapping work ids to _WorkItems e.g.
            {5: &lt;_WorkItem...&gt;, 6: &lt;_WorkItem...&gt;, ...}
        work_ids_queue: A queue.Queue of work ids e.g. Queue([5, 6, ...]).
        call_queue: A multiprocessing.Queue that will be filled with _CallItems
            derived from _WorkItems for processing by the process workers.
        result_queue: A multiprocessing.Queue of _ResultItems generated by the
            process workers.
    &quot;&quot;&quot;
    executor = None

    def shutting_down():
        return _shutdown or executor is None or executor._shutdown_thread

    def shutdown_worker():
        # This is an upper bound
        nb_children_alive = sum(p.is_alive() for p in processes.values())
        for i in range(0, nb_children_alive):
            call_queue.put_nowait(None)
        # Release the queue's resources as soon as possible.
        call_queue.close()
        # If .join() is not called on the created processes then
        # some multiprocessing.Queue methods may deadlock on Mac OS X.
        for p in processes.values():
            p.join()

    reader = result_queue._reader

    while True:
        _add_call_item_to_queue(pending_work_items,
                                work_ids_queue,
                                call_queue)

        sentinels = [p.sentinel for p in processes.values()]
        assert sentinels
        ready = wait([reader] + sentinels)
        if reader in ready:
            result_item = reader.recv()
        else:
            # Mark the process pool broken so that submits fail right now.
            executor = executor_reference()
            if executor is not None:
                executor._broken = True
                executor._shutdown_thread = True
                executor = None
            # All futures in flight must be marked failed
            for work_id, work_item in pending_work_items.items():
                work_item.future.set_exception(
                    BrokenProcessPool(
                        &quot;A process in the process pool was &quot;
                        &quot;terminated abruptly while the future was &quot;
                        &quot;running or pending.&quot;
                    ))
                # Delete references to object. See issue16284
                del work_item
            pending_work_items.clear()
            # Terminate remaining workers forcibly: the queues or their
            # locks may be in a dirty state and block forever.
            for p in processes.values():
                p.terminate()
            shutdown_worker()
            return
        if isinstance(result_item, int):
            # Clean shutdown of a worker using its PID
            # (avoids marking the executor broken)
            assert shutting_down()
            p = processes.pop(result_item)
            p.join()
            if not processes:
                shutdown_worker()
                return
        elif result_item is not None:
            work_item = pending_work_items.pop(result_item.work_id, None)
            # work_item can be None if another process terminated (see above)
            if work_item is not None:
                if result_item.exception:
                    work_item.future.set_exception(result_item.exception)
                else:
                    work_item.future.set_result(result_item.result)
                # Delete references to object. See issue16284
                del work_item
        # Check whether we should start shutting down.
        executor = executor_reference()
        # No more work items can be added if:
        #   - The interpreter is shutting down OR
        #   - The executor that owns this worker has been collected OR
        #   - The executor that owns this worker has been shutdown.
        if shutting_down():
            try:
                # Since no new work items can be added, it is safe to shutdown
                # this thread if there are no pending work items.
                if not pending_work_items:
                    shutdown_worker()
                    return
            except Full:
                # This is not a problem: we will eventually be woken up (in
                # result_queue.get()) and be able to send a sentinel again.
                pass
        executor = None

_system_limits_checked = False
_system_limited = None
def _check_system_limits():
    global _system_limits_checked, _system_limited
    if _system_limits_checked:
        if _system_limited:
            raise NotImplementedError(_system_limited)
    _system_limits_checked = True
    try:
        nsems_max = os.sysconf(&quot;SC_SEM_NSEMS_MAX&quot;)
    except (AttributeError, ValueError):
        # sysconf not available or setting not available
        return
    if nsems_max == -1:
        # indetermined limit, assume that limit is determined
        # by available memory only
        return
    if nsems_max &gt;= 256:
        # minimum number of semaphores available
        # according to POSIX
        return
    _system_limited = &quot;system provides too few semaphores (%d available, 256 necessary)&quot; % nsems_max
    raise NotImplementedError(_system_limited)


def _chain_from_iterable_of_lists(iterable):
    &quot;&quot;&quot;
    Specialized implementation of itertools.chain.from_iterable.
    Each item in *iterable* should be a list.  This function is
    careful not to keep references to yielded objects.
    &quot;&quot;&quot;
    for element in iterable:
        element.reverse()
        while element:
            yield element.pop()


class BrokenProcessPool(RuntimeError):
    &quot;&quot;&quot;
    Raised when a process in a ProcessPoolExecutor terminated abruptly
    while a future was in the running state.
    &quot;&quot;&quot;


class ProcessPoolExecutor(_base.Executor):
    def __init__(self, max_workers=None):
        &quot;&quot;&quot;Initializes a new ProcessPoolExecutor instance.

        Args:
            max_workers: The maximum number of processes that can be used to
                execute the given calls. If None or not given then as many
                worker processes will be created as the machine has processors.
        &quot;&quot;&quot;
        _check_system_limits()

        if max_workers is None:
            self._max_workers = os.cpu_count() or 1
        else:
            if max_workers &lt;= 0:
                raise ValueError(&quot;max_workers must be greater than 0&quot;)

            self._max_workers = max_workers

        # Make the call queue slightly larger than the number of processes to
        # prevent the worker processes from idling. But don't make it too big
        # because futures in the call queue cannot be cancelled.
        self._call_queue = multiprocessing.Queue(self._max_workers +
                                                 EXTRA_QUEUED_CALLS)
        # Killed worker processes can produce spurious &quot;broken pipe&quot;
        # tracebacks in the queue's own worker thread. But we detect killed
        # processes anyway, so silence the tracebacks.
        self._call_queue._ignore_epipe = True
        self._result_queue = SimpleQueue()
        self._work_ids = queue.Queue()
        self._queue_management_thread = None
        # Map of pids to processes
        self._processes = {}

        # Shutdown is a two-step process.
        self._shutdown_thread = False
        self._shutdown_lock = threading.Lock()
        self._broken = False
        self._queue_count = 0
        self._pending_work_items = {}

    def _start_queue_management_thread(self):
        # When the executor gets lost, the weakref callback will wake up
        # the queue management thread.
        def weakref_cb(_, q=self._result_queue):
            q.put(None)
        if self._queue_management_thread is None:
            # Start the processes so that their sentinels are known.
            self._adjust_process_count()
            self._queue_management_thread = threading.Thread(
                    target=_queue_management_worker,
                    args=(weakref.ref(self, weakref_cb),
                          self._processes,
                          self._pending_work_items,
                          self._work_ids,
                          self._call_queue,
                          self._result_queue))
            self._queue_management_thread.daemon = True
            self._queue_management_thread.start()
            _threads_queues[self._queue_management_thread] = self._result_queue

    def _adjust_process_count(self):
        for _ in range(len(self._processes), self._max_workers):
            p = multiprocessing.Process(
                    target=_process_worker,
                    args=(self._call_queue,
                          self._result_queue))
            p.start()
            self._processes[p.pid] = p

    def submit(self, fn, *args, **kwargs):
        with self._shutdown_lock:
            if self._broken:
                raise BrokenProcessPool('A child process terminated '
                    'abruptly, the process pool is not usable anymore')
            if self._shutdown_thread:
                raise RuntimeError('cannot schedule new futures after shutdown')

            f = _base.Future()
            w = _WorkItem(f, fn, args, kwargs)

            self._pending_work_items[self._queue_count] = w
            self._work_ids.put(self._queue_count)
            self._queue_count += 1
            # Wake up queue management thread
            self._result_queue.put(None)

            self._start_queue_management_thread()
            return f
    submit.__doc__ = _base.Executor.submit.__doc__

    def map(self, fn, *iterables, timeout=None, chunksize=1):
        &quot;&quot;&quot;Returns an iterator equivalent to map(fn, iter).

        Args:
            fn: A callable that will take as many arguments as there are
                passed iterables.
            timeout: The maximum number of seconds to wait. If None, then there
                is no limit on the wait time.
            chunksize: If greater than one, the iterables will be chopped into
                chunks of size chunksize and submitted to the process pool.
                If set to one, the items in the list will be sent one at a time.

        Returns:
            An iterator equivalent to: map(func, *iterables) but the calls may
            be evaluated out-of-order.

        Raises:
            TimeoutError: If the entire result iterator could not be generated
                before the given timeout.
            Exception: If fn(*args) raises for any values.
        &quot;&quot;&quot;
        if chunksize &lt; 1:
            raise ValueError(&quot;chunksize must be &gt;= 1.&quot;)

        results = super().map(partial(_process_chunk, fn),
                              _get_chunks(*iterables, chunksize=chunksize),
                              timeout=timeout)
        return _chain_from_iterable_of_lists(results)

    def shutdown(self, wait=True):
        with self._shutdown_lock:
            self._shutdown_thread = True
        if self._queue_management_thread:
            # Wake up queue management thread
            self._result_queue.put(None)
            if wait:
                self._queue_management_thread.join()
        # To reduce the risk of opening too many files, remove references to
        # objects that use file descriptors.
        self._queue_management_thread = None
        self._call_queue = None
        self._result_queue = None
        self._processes = None
    shutdown.__doc__ = _base.Executor.shutdown.__doc__

atexit.register(_python_exit)
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# Licensed to PSF under a Contributor Agreement.

&quot;&quot;&quot;Implements ProcessPoolExecutor.

The following diagram and text describe the data-flow through the system:

|======================= In-process =====================|== Out-of-process ==|

+----------+     +----------+       +--------+     +-----------+    +---------+
|          |  =&gt; | Work Ids |       |        |     | Call Q    |    | Process |
|          |     +----------+       |        |     +-----------+    |  Pool   |
|          |     | ...      |       |        |     | ...       |    +---------+
|          |     | 6        |    =&gt; |        |  =&gt; | 5, call() | =&gt; |         |
|          |     | 7        |       |        |     | ...       |    |         |
| Process  |     | ...      |       | Local  |     +-----------+    | Process |
|  Pool    |     +----------+       | Worker |                      |  #1..n  |
| Executor |                        | Thread |                      |         |
|          |     +----------- +     |        |     +-----------+    |         |
|          | &lt;=&gt; | Work Items | &lt;=&gt; |        | &lt;=  | Result Q  | &lt;= |         |
|          |     +------------+     |        |     +-----------+    |         |
|          |     | 6: call()  |     |        |     | ...       |    |         |
|          |     |    future  |     |        |     | 4, result |    |         |
|          |     | ...        |     |        |     | 3, except |    |         |
+----------+     +------------+     +--------+     +-----------+    +---------+

Executor.submit() called:
- creates a uniquely numbered _WorkItem and adds it to the &quot;Work Items&quot; dict
- adds the id of the _WorkItem to the &quot;Work Ids&quot; queue

Local worker thread:
- reads work ids from the &quot;Work Ids&quot; queue and looks up the corresponding
  WorkItem from the &quot;Work Items&quot; dict: if the work item has been cancelled then
  it is simply removed from the dict, otherwise it is repackaged as a
  _CallItem and put in the &quot;Call Q&quot;. New _CallItems are put in the &quot;Call Q&quot;
  until &quot;Call Q&quot; is full. NOTE: the size of the &quot;Call Q&quot; is kept small because
  calls placed in the &quot;Call Q&quot; can no longer be cancelled with Future.cancel().
- reads _ResultItems from &quot;Result Q&quot;, updates the future stored in the
  &quot;Work Items&quot; dict and deletes the dict entry

Process #1..n:
- reads _CallItems from &quot;Call Q&quot;, executes the calls, and puts the resulting
  _ResultItems in &quot;Result Q&quot;
&quot;&quot;&quot;

__author__ = 'Brian Quinlan (brian@sweetapp.com)'

import os
from concurrent.futures import _base
import queue
import multiprocessing as mp
import multiprocessing.connection
from multiprocessing.queues import Queue
import threading
import weakref
from functools import partial
import itertools
import sys
from traceback import format_exception


_threads_wakeups = weakref.WeakKeyDictionary()
_global_shutdown = False


class _ThreadWakeup:
    def __init__(self):
        self._closed = False
        self._reader, self._writer = mp.Pipe(duplex=False)

    def close(self):
        # Please note that we do not take the shutdown lock when
        # calling clear() (to avoid deadlocking) so this method can
        # only be called safely from the same thread as all calls to
        # clear() even if you hold the shutdown lock. Otherwise we
        # might try to read from the closed pipe.
        if not self._closed:
            self._closed = True
            self._writer.close()
            self._reader.close()

    def wakeup(self):
        if not self._closed:
            self._writer.send_bytes(b&quot;&quot;)

    def clear(self):
        if not self._closed:
            while self._reader.poll():
                self._reader.recv_bytes()


def _python_exit():
    global _global_shutdown
    _global_shutdown = True
    items = list(_threads_wakeups.items())
    for _, thread_wakeup in items:
        # call not protected by ProcessPoolExecutor._shutdown_lock
        thread_wakeup.wakeup()
    for t, _ in items:
        t.join()

# Register for `_python_exit()` to be called just before joining all
# non-daemon threads. This is used instead of `atexit.register()` for
# compatibility with subinterpreters, which no longer support daemon threads.
# See bpo-39812 for context.
threading._register_atexit(_python_exit)

# Controls how many more calls than processes will be queued in the call queue.
# A smaller number will mean that processes spend more time idle waiting for
# work while a larger number will make Future.cancel() succeed less frequently
# (Futures in the call queue cannot be cancelled).
EXTRA_QUEUED_CALLS = 1


# On Windows, WaitForMultipleObjects is used to wait for processes to finish.
# It can wait on, at most, 63 objects. There is an overhead of two objects:
# - the result queue reader
# - the thread wakeup reader
_MAX_WINDOWS_WORKERS = 63 - 2

# Hack to embed stringification of remote traceback in local traceback

class _RemoteTraceback(Exception):
    def __init__(self, tb):
        self.tb = tb
    def __str__(self):
        return self.tb

class _ExceptionWithTraceback:
    def __init__(self, exc, tb):
        tb = ''.join(format_exception(type(exc), exc, tb))
        self.exc = exc
        # Traceback object needs to be garbage-collected as its frames
        # contain references to all the objects in the exception scope
        self.exc.__traceback__ = None
        self.tb = '\n&quot;&quot;&quot;\n%s&quot;&quot;&quot;' % tb
    def __reduce__(self):
        return _rebuild_exc, (self.exc, self.tb)

def _rebuild_exc(exc, tb):
    exc.__cause__ = _RemoteTraceback(tb)
    return exc

class _WorkItem(object):
    def __init__(self, future, fn, args, kwargs):
        self.future = future
        self.fn = fn
        self.args = args
        self.kwargs = kwargs

class _ResultItem(object):
    def __init__(self, work_id, exception=None, result=None, exit_pid=None):
        self.work_id = work_id
        self.exception = exception
        self.result = result
        self.exit_pid = exit_pid

class _CallItem(object):
    def __init__(self, work_id, fn, args, kwargs):
        self.work_id = work_id
        self.fn = fn
        self.args = args
        self.kwargs = kwargs


class _SafeQueue(Queue):
    &quot;&quot;&quot;Safe Queue set exception to the future object linked to a job&quot;&quot;&quot;
    def __init__(self, max_size=0, *, ctx, pending_work_items, shutdown_lock,
                 thread_wakeup):
        self.pending_work_items = pending_work_items
        self.shutdown_lock = shutdown_lock
        self.thread_wakeup = thread_wakeup
        super().__init__(max_size, ctx=ctx)

    def _on_queue_feeder_error(self, e, obj):
        if isinstance(obj, _CallItem):
            tb = format_exception(type(e), e, e.__traceback__)
            e.__cause__ = _RemoteTraceback('\n&quot;&quot;&quot;\n{}&quot;&quot;&quot;'.format(''.join(tb)))
            work_item = self.pending_work_items.pop(obj.work_id, None)
            with self.shutdown_lock:
                self.thread_wakeup.wakeup()
            # work_item can be None if another process terminated. In this
            # case, the executor_manager_thread fails all work_items
            # with BrokenProcessPool
            if work_item is not None:
                work_item.future.set_exception(e)
        else:
            super()._on_queue_feeder_error(e, obj)


def _get_chunks(*iterables, chunksize):
    &quot;&quot;&quot; Iterates over zip()ed iterables in chunks. &quot;&quot;&quot;
    it = zip(*iterables)
    while True:
        chunk = tuple(itertools.islice(it, chunksize))
        if not chunk:
            return
        yield chunk


def _process_chunk(fn, chunk):
    &quot;&quot;&quot; Processes a chunk of an iterable passed to map.

    Runs the function passed to map() on a chunk of the
    iterable passed to map.

    This function is run in a separate process.

    &quot;&quot;&quot;
    return [fn(*args) for args in chunk]


def _sendback_result(result_queue, work_id, result=None, exception=None,
                     exit_pid=None):
    &quot;&quot;&quot;Safely send back the given result or exception&quot;&quot;&quot;
    try:
        result_queue.put(_ResultItem(work_id, result=result,
                                     exception=exception, exit_pid=exit_pid))
    except BaseException as e:
        exc = _ExceptionWithTraceback(e, e.__traceback__)
        result_queue.put(_ResultItem(work_id, exception=exc,
                                     exit_pid=exit_pid))


def _process_worker(call_queue, result_queue, initializer, initargs, max_tasks=None):
    &quot;&quot;&quot;Evaluates calls from call_queue and places the results in result_queue.

    This worker is run in a separate process.

    Args:
        call_queue: A ctx.Queue of _CallItems that will be read and
            evaluated by the worker.
        result_queue: A ctx.Queue of _ResultItems that will written
            to by the worker.
        initializer: A callable initializer, or None
        initargs: A tuple of args for the initializer
    &quot;&quot;&quot;
    if initializer is not None:
        try:
            initializer(*initargs)
        except BaseException:
            _base.LOGGER.critical('Exception in initializer:', exc_info=True)
            # The parent will notice that the process stopped and
            # mark the pool broken
            return
    num_tasks = 0
    exit_pid = None
    while True:
        call_item = call_queue.get(block=True)
        if call_item is None:
            # Wake up queue management thread
            result_queue.put(os.getpid())
            return

        if max_tasks is not None:
            num_tasks += 1
            if num_tasks &gt;= max_tasks:
                exit_pid = os.getpid()

        try:
            r = call_item.fn(*call_item.args, **call_item.kwargs)
        except BaseException as e:
            exc = _ExceptionWithTraceback(e, e.__traceback__)
            _sendback_result(result_queue, call_item.work_id, exception=exc,
                             exit_pid=exit_pid)
        else:
            _sendback_result(result_queue, call_item.work_id, result=r,
                             exit_pid=exit_pid)
            del r

        # Liberate the resource as soon as possible, to avoid holding onto
        # open files or shared memory that is not needed anymore
        del call_item

        if exit_pid is not None:
            return


class _ExecutorManagerThread(threading.Thread):
    &quot;&quot;&quot;Manages the communication between this process and the worker processes.

    The manager is run in a local thread.

    Args:
        executor: A reference to the ProcessPoolExecutor that owns
            this thread. A weakref will be own by the manager as well as
            references to internal objects used to introspect the state of
            the executor.
    &quot;&quot;&quot;

    def __init__(self, executor):
        # Store references to necessary internals of the executor.

        # A _ThreadWakeup to allow waking up the queue_manager_thread from the
        # main Thread and avoid deadlocks caused by permanently locked queues.
        self.thread_wakeup = executor._executor_manager_thread_wakeup
        self.shutdown_lock = executor._shutdown_lock

        # A weakref.ref to the ProcessPoolExecutor that owns this thread. Used
        # to determine if the ProcessPoolExecutor has been garbage collected
        # and that the manager can exit.
        # When the executor gets garbage collected, the weakref callback
        # will wake up the queue management thread so that it can terminate
        # if there is no pending work item.
        def weakref_cb(_,
                       thread_wakeup=self.thread_wakeup,
                       shutdown_lock=self.shutdown_lock):
            mp.util.debug('Executor collected: triggering callback for'
                          ' QueueManager wakeup')
            with shutdown_lock:
                thread_wakeup.wakeup()

        self.executor_reference = weakref.ref(executor, weakref_cb)

        # A list of the ctx.Process instances used as workers.
        self.processes = executor._processes

        # A ctx.Queue that will be filled with _CallItems derived from
        # _WorkItems for processing by the process workers.
        self.call_queue = executor._call_queue

        # A ctx.SimpleQueue of _ResultItems generated by the process workers.
        self.result_queue = executor._result_queue

        # A queue.Queue of work ids e.g. Queue([5, 6, ...]).
        self.work_ids_queue = executor._work_ids

        # Maximum number of tasks a worker process can execute before
        # exiting safely
        self.max_tasks_per_child = executor._max_tasks_per_child

        # A dict mapping work ids to _WorkItems e.g.
        #     {5: &lt;_WorkItem...&gt;, 6: &lt;_WorkItem...&gt;, ...}
        self.pending_work_items = executor._pending_work_items

        super().__init__()

    def run(self):
        # Main loop for the executor manager thread.

        while True:
            self.add_call_item_to_queue()

            result_item, is_broken, cause = self.wait_result_broken_or_wakeup()

            if is_broken:
                self.terminate_broken(cause)
                return
            if result_item is not None:
                self.process_result_item(result_item)

                process_exited = result_item.exit_pid is not None
                if process_exited:
                    p = self.processes.pop(result_item.exit_pid)
                    p.join()

                # Delete reference to result_item to avoid keeping references
                # while waiting on new results.
                del result_item

                if executor := self.executor_reference():
                    if process_exited:
                        with self.shutdown_lock:
                            executor._adjust_process_count()
                    else:
                        executor._idle_worker_semaphore.release()
                    del executor

            if self.is_shutting_down():
                self.flag_executor_shutting_down()

                # When only canceled futures remain in pending_work_items, our
                # next call to wait_result_broken_or_wakeup would hang forever.
                # This makes sure we have some running futures or none at all.
                self.add_call_item_to_queue()

                # Since no new work items can be added, it is safe to shutdown
                # this thread if there are no pending work items.
                if not self.pending_work_items:
                    self.join_executor_internals()
                    return

    def add_call_item_to_queue(self):
        # Fills call_queue with _WorkItems from pending_work_items.
        # This function never blocks.
        while True:
            if self.call_queue.full():
                return
            try:
                work_id = self.work_ids_queue.get(block=False)
            except queue.Empty:
                return
            else:
                work_item = self.pending_work_items[work_id]

                if work_item.future.set_running_or_notify_cancel():
                    self.call_queue.put(_CallItem(work_id,
                                                  work_item.fn,
                                                  work_item.args,
                                                  work_item.kwargs),
                                        block=True)
                else:
                    del self.pending_work_items[work_id]
                    continue

    def wait_result_broken_or_wakeup(self):
        # Wait for a result to be ready in the result_queue while checking
        # that all worker processes are still running, or for a wake up
        # signal send. The wake up signals come either from new tasks being
        # submitted, from the executor being shutdown/gc-ed, or from the
        # shutdown of the python interpreter.
        result_reader = self.result_queue._reader
        assert not self.thread_wakeup._closed
        wakeup_reader = self.thread_wakeup._reader
        readers = [result_reader, wakeup_reader]
        worker_sentinels = [p.sentinel for p in list(self.processes.values())]
        ready = mp.connection.wait(readers + worker_sentinels)

        cause = None
        is_broken = True
        result_item = None
        if result_reader in ready:
            try:
                result_item = result_reader.recv()
                is_broken = False
            except BaseException as e:
                cause = format_exception(type(e), e, e.__traceback__)

        elif wakeup_reader in ready:
            is_broken = False

        # No need to hold the _shutdown_lock here because:
        # 1. we're the only thread to use the wakeup reader
        # 2. we're also the only thread to call thread_wakeup.close()
        # 3. we want to avoid a possible deadlock when both reader and writer
        #    would block (gh-105829)
        self.thread_wakeup.clear()

        return result_item, is_broken, cause

    def process_result_item(self, result_item):
        # Process the received a result_item. This can be either the PID of a
        # worker that exited gracefully or a _ResultItem

        if isinstance(result_item, int):
            # Clean shutdown of a worker using its PID
            # (avoids marking the executor broken)
            assert self.is_shutting_down()
            p = self.processes.pop(result_item)
            p.join()
            if not self.processes:
                self.join_executor_internals()
                return
        else:
            # Received a _ResultItem so mark the future as completed.
            work_item = self.pending_work_items.pop(result_item.work_id, None)
            # work_item can be None if another process terminated (see above)
            if work_item is not None:
                if result_item.exception:
                    work_item.future.set_exception(result_item.exception)
                else:
                    work_item.future.set_result(result_item.result)

    def is_shutting_down(self):
        # Check whether we should start shutting down the executor.
        executor = self.executor_reference()
        # No more work items can be added if:
        #   - The interpreter is shutting down OR
        #   - The executor that owns this worker has been collected OR
        #   - The executor that owns this worker has been shutdown.
        return (_global_shutdown or executor is None
                or executor._shutdown_thread)

    def terminate_broken(self, cause):
        # Terminate the executor because it is in a broken state. The cause
        # argument can be used to display more information on the error that
        # lead the executor into becoming broken.

        # Mark the process pool broken so that submits fail right now.
        executor = self.executor_reference()
        if executor is not None:
            executor._broken = ('A child process terminated '
                                'abruptly, the process pool is not '
                                'usable anymore')
            executor._shutdown_thread = True
            executor = None

        # All pending tasks are to be marked failed with the following
        # BrokenProcessPool error
        bpe = BrokenProcessPool(&quot;A process in the process pool was &quot;
                                &quot;terminated abruptly while the future was &quot;
                                &quot;running or pending.&quot;)
        if cause is not None:
            bpe.__cause__ = _RemoteTraceback(
                f&quot;\n'''\n{''.join(cause)}'''&quot;)

        # Mark pending tasks as failed.
        for work_id, work_item in self.pending_work_items.items():
            work_item.future.set_exception(bpe)
            # Delete references to object. See issue16284
            del work_item
        self.pending_work_items.clear()

        # Terminate remaining workers forcibly: the queues or their
        # locks may be in a dirty state and block forever.
        for p in self.processes.values():
            p.terminate()

        # Prevent queue writing to a pipe which is no longer read.
        # https://github.com/python/cpython/issues/94777
        self.call_queue._reader.close()

        # gh-107219: Close the connection writer which can unblock
        # Queue._feed() if it was stuck in send_bytes().
        if sys.platform == 'win32':
            self.call_queue._writer.close()

        # clean up resources
        self.join_executor_internals()

    def flag_executor_shutting_down(self):
        # Flag the executor as shutting down and cancel remaining tasks if
        # requested as early as possible if it is not gc-ed yet.
        executor = self.executor_reference()
        if executor is not None:
            executor._shutdown_thread = True
            # Cancel pending work items if requested.
            if executor._cancel_pending_futures:
                # Cancel all pending futures and update pending_work_items
                # to only have futures that are currently running.
                new_pending_work_items = {}
                for work_id, work_item in self.pending_work_items.items():
                    if not work_item.future.cancel():
                        new_pending_work_items[work_id] = work_item
                self.pending_work_items = new_pending_work_items
                # Drain work_ids_queue since we no longer need to
                # add items to the call queue.
                while True:
                    try:
                        self.work_ids_queue.get_nowait()
                    except queue.Empty:
                        break
                # Make sure we do this only once to not waste time looping
                # on running processes over and over.
                executor._cancel_pending_futures = False

    def shutdown_workers(self):
        n_children_to_stop = self.get_n_children_alive()
        n_sentinels_sent = 0
        # Send the right number of sentinels, to make sure all children are
        # properly terminated.
        while (n_sentinels_sent &lt; n_children_to_stop
                and self.get_n_children_alive() &gt; 0):
            for i in range(n_children_to_stop - n_sentinels_sent):
                try:
                    self.call_queue.put_nowait(None)
                    n_sentinels_sent += 1
                except queue.Full:
                    break

    def join_executor_internals(self):
        self.shutdown_workers()
        # Release the queue's resources as soon as possible.
        self.call_queue.close()
        self.call_queue.join_thread()
        with self.shutdown_lock:
            self.thread_wakeup.close()
        # If .join() is not called on the created processes then
        # some ctx.Queue methods may deadlock on Mac OS X.
        for p in self.processes.values():
            p.join()

    def get_n_children_alive(self):
        # This is an upper bound on the number of children alive.
        return sum(p.is_alive() for p in self.processes.values())


_system_limits_checked = False
_system_limited = None


def _check_system_limits():
    global _system_limits_checked, _system_limited
    if _system_limits_checked:
        if _system_limited:
            raise NotImplementedError(_system_limited)
    _system_limits_checked = True
    try:
        import multiprocessing.synchronize
    except ImportError:
        _system_limited = (
            &quot;This Python build lacks multiprocessing.synchronize, usually due &quot;
            &quot;to named semaphores being unavailable on this platform.&quot;
        )
        raise NotImplementedError(_system_limited)
    try:
        nsems_max = os.sysconf(&quot;SC_SEM_NSEMS_MAX&quot;)
    except (AttributeError, ValueError):
        # sysconf not available or setting not available
        return
    if nsems_max == -1:
        # indetermined limit, assume that limit is determined
        # by available memory only
        return
    if nsems_max &gt;= 256:
        # minimum number of semaphores available
        # according to POSIX
        return
    _system_limited = (&quot;system provides too few semaphores (%d&quot;
                       &quot; available, 256 necessary)&quot; % nsems_max)
    raise NotImplementedError(_system_limited)


def _chain_from_iterable_of_lists(iterable):
    &quot;&quot;&quot;
    Specialized implementation of itertools.chain.from_iterable.
    Each item in *iterable* should be a list.  This function is
    careful not to keep references to yielded objects.
    &quot;&quot;&quot;
    for element in iterable:
        element.reverse()
        while element:
            yield element.pop()


class BrokenProcessPool(_base.BrokenExecutor):
    &quot;&quot;&quot;
    Raised when a process in a ProcessPoolExecutor terminated abruptly
    while a future was in the running state.
    &quot;&quot;&quot;


class ProcessPoolExecutor(_base.Executor):
    def __init__(self, max_workers=None, mp_context=None,
                 initializer=None, initargs=(), *, max_tasks_per_child=None):
        &quot;&quot;&quot;Initializes a new ProcessPoolExecutor instance.

        Args:
            max_workers: The maximum number of processes that can be used to
                execute the given calls. If None or not given then as many
                worker processes will be created as the machine has processors.
            mp_context: A multiprocessing context to launch the workers. This
                object should provide SimpleQueue, Queue and Process. Useful
                to allow specific multiprocessing start methods.
            initializer: A callable used to initialize worker processes.
            initargs: A tuple of arguments to pass to the initializer.
            max_tasks_per_child: The maximum number of tasks a worker process
                can complete before it will exit and be replaced with a fresh
                worker process. The default of None means worker process will
                live as long as the executor. Requires a non-'fork' mp_context
                start method. When given, we default to using 'spawn' if no
                mp_context is supplied.
        &quot;&quot;&quot;
        _check_system_limits()

        if max_workers is None:
            self._max_workers = os.cpu_count() or 1
            if sys.platform == 'win32':
                self._max_workers = min(_MAX_WINDOWS_WORKERS,
                                        self._max_workers)
        else:
            if max_workers &lt;= 0:
                raise ValueError(&quot;max_workers must be greater than 0&quot;)
            elif (sys.platform == 'win32' and
                max_workers &gt; _MAX_WINDOWS_WORKERS):
                raise ValueError(
                    f&quot;max_workers must be &lt;= {_MAX_WINDOWS_WORKERS}&quot;)

            self._max_workers = max_workers

        if mp_context is None:
            if max_tasks_per_child is not None:
                mp_context = mp.get_context(&quot;spawn&quot;)
            else:
                mp_context = mp.get_context()
        self._mp_context = mp_context

        # https://github.com/python/cpython/issues/90622
        self._safe_to_dynamically_spawn_children = (
                self._mp_context.get_start_method(allow_none=False) != &quot;fork&quot;)

        if initializer is not None and not callable(initializer):
            raise TypeError(&quot;initializer must be a callable&quot;)
        self._initializer = initializer
        self._initargs = initargs

        if max_tasks_per_child is not None:
            if not isinstance(max_tasks_per_child, int):
                raise TypeError(&quot;max_tasks_per_child must be an integer&quot;)
            elif max_tasks_per_child &lt;= 0:
                raise ValueError(&quot;max_tasks_per_child must be &gt;= 1&quot;)
            if self._mp_context.get_start_method(allow_none=False) == &quot;fork&quot;:
                # https://github.com/python/cpython/issues/90622
                raise ValueError(&quot;max_tasks_per_child is incompatible with&quot;
                                 &quot; the 'fork' multiprocessing start method;&quot;
                                 &quot; supply a different mp_context.&quot;)
        self._max_tasks_per_child = max_tasks_per_child

        # Management thread
        self._executor_manager_thread = None

        # Map of pids to processes
        self._processes = {}

        # Shutdown is a two-step process.
        self._shutdown_thread = False
        self._shutdown_lock = threading.Lock()
        self._idle_worker_semaphore = threading.Semaphore(0)
        self._broken = False
        self._queue_count = 0
        self._pending_work_items = {}
        self._cancel_pending_futures = False

        # _ThreadWakeup is a communication channel used to interrupt the wait
        # of the main loop of executor_manager_thread from another thread (e.g.
        # when calling executor.submit or executor.shutdown). We do not use the
        # _result_queue to send wakeup signals to the executor_manager_thread
        # as it could result in a deadlock if a worker process dies with the
        # _result_queue write lock still acquired.
        #
        # _shutdown_lock must be locked to access _ThreadWakeup.close() and
        # .wakeup(). Care must also be taken to not call clear or close from
        # more than one thread since _ThreadWakeup.clear() is not protected by
        # the _shutdown_lock
        self._executor_manager_thread_wakeup = _ThreadWakeup()

        # Create communication channels for the executor
        # Make the call queue slightly larger than the number of processes to
        # prevent the worker processes from idling. But don't make it too big
        # because futures in the call queue cannot be cancelled.
        queue_size = self._max_workers + EXTRA_QUEUED_CALLS
        self._call_queue = _SafeQueue(
            max_size=queue_size, ctx=self._mp_context,
            pending_work_items=self._pending_work_items,
            shutdown_lock=self._shutdown_lock,
            thread_wakeup=self._executor_manager_thread_wakeup)
        # Killed worker processes can produce spurious &quot;broken pipe&quot;
        # tracebacks in the queue's own worker thread. But we detect killed
        # processes anyway, so silence the tracebacks.
        self._call_queue._ignore_epipe = True
        self._result_queue = mp_context.SimpleQueue()
        self._work_ids = queue.Queue()

    def _start_executor_manager_thread(self):
        if self._executor_manager_thread is None:
            # Start the processes so that their sentinels are known.
            if not self._safe_to_dynamically_spawn_children:  # ie, using fork.
                self._launch_processes()
            self._executor_manager_thread = _ExecutorManagerThread(self)
            self._executor_manager_thread.start()
            _threads_wakeups[self._executor_manager_thread] = \
                self._executor_manager_thread_wakeup

    def _adjust_process_count(self):
        # if there's an idle process, we don't need to spawn a new one.
        if self._idle_worker_semaphore.acquire(blocking=False):
            return

        process_count = len(self._processes)
        if process_count &lt; self._max_workers:
            # Assertion disabled as this codepath is also used to replace a
            # worker that unexpectedly dies, even when using the 'fork' start
            # method. That means there is still a potential deadlock bug. If a
            # 'fork' mp_context worker dies, we'll be forking a new one when
            # we know a thread is running (self._executor_manager_thread).
            #assert self._safe_to_dynamically_spawn_children or not self._executor_manager_thread, 'https://github.com/python/cpython/issues/90622'
            self._spawn_process()

    def _launch_processes(self):
        # https://github.com/python/cpython/issues/90622
        assert not self._executor_manager_thread, (
                'Processes cannot be fork()ed after the thread has started, '
                'deadlock in the child processes could result.')
        for _ in range(len(self._processes), self._max_workers):
            self._spawn_process()

    def _spawn_process(self):
        p = self._mp_context.Process(
            target=_process_worker,
            args=(self._call_queue,
                  self._result_queue,
                  self._initializer,
                  self._initargs,
                  self._max_tasks_per_child))
        p.start()
        self._processes[p.pid] = p

    def submit(self, fn, /, *args, **kwargs):
        with self._shutdown_lock:
            if self._broken:
                raise BrokenProcessPool(self._broken)
            if self._shutdown_thread:
                raise RuntimeError('cannot schedule new futures after shutdown')
            if _global_shutdown:
                raise RuntimeError('cannot schedule new futures after '
                                   'interpreter shutdown')

            f = _base.Future()
            w = _WorkItem(f, fn, args, kwargs)

            self._pending_work_items[self._queue_count] = w
            self._work_ids.put(self._queue_count)
            self._queue_count += 1
            # Wake up queue management thread
            self._executor_manager_thread_wakeup.wakeup()

            if self._safe_to_dynamically_spawn_children:
                self._adjust_process_count()
            self._start_executor_manager_thread()
            return f
    submit.__doc__ = _base.Executor.submit.__doc__

    def map(self, fn, *iterables, timeout=None, chunksize=1):
        &quot;&quot;&quot;Returns an iterator equivalent to map(fn, iter).

        Args:
            fn: A callable that will take as many arguments as there are
                passed iterables.
            timeout: The maximum number of seconds to wait. If None, then there
                is no limit on the wait time.
            chunksize: If greater than one, the iterables will be chopped into
                chunks of size chunksize and submitted to the process pool.
                If set to one, the items in the list will be sent one at a time.

        Returns:
            An iterator equivalent to: map(func, *iterables) but the calls may
            be evaluated out-of-order.

        Raises:
            TimeoutError: If the entire result iterator could not be generated
                before the given timeout.
            Exception: If fn(*args) raises for any values.
        &quot;&quot;&quot;
        if chunksize &lt; 1:
            raise ValueError(&quot;chunksize must be &gt;= 1.&quot;)

        results = super().map(partial(_process_chunk, fn),
                              _get_chunks(*iterables, chunksize=chunksize),
                              timeout=timeout)
        return _chain_from_iterable_of_lists(results)

    def shutdown(self, wait=True, *, cancel_futures=False):
        with self._shutdown_lock:
            self._cancel_pending_futures = cancel_futures
            self._shutdown_thread = True
            if self._executor_manager_thread_wakeup is not None:
                # Wake up queue management thread
                self._executor_manager_thread_wakeup.wakeup()

        if self._executor_manager_thread is not None and wait:
            self._executor_manager_thread.join()
        # To reduce the risk of opening too many files, remove references to
        # objects that use file descriptors.
        self._executor_manager_thread = None
        self._call_queue = None
        if self._result_queue is not None and wait:
            self._result_queue.close()
        self._result_queue = None
        self._processes = None
        self._executor_manager_thread_wakeup = None

    shutdown.__doc__ = _base.Executor.shutdown.__doc__
                                                                                                                                                                                                                                                                                                                                                                         opt/alt/python39/lib64/python3.9/concurrent/futures/process.py                                      0000644                 00000075243 15052160446 0020243 0                                                                                                    ustar 00                                                                                                                                                                                                                                                       # Copyright 2009 Brian Quinlan. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.

&quot;&quot;&quot;Implements ProcessPoolExecutor.

The following diagram and text describe the data-flow through the system:

|======================= In-process =====================|== Out-of-process ==|

+----------+     +----------+       +--------+     +-----------+    +---------+
|          |  =&gt; | Work Ids |       |        |     | Call Q    |    | Process |
|          |     +----------+       |        |     +-----------+    |  Pool   |
|          |     | ...      |       |        |     | ...       |    +---------+
|          |     | 6        |    =&gt; |        |  =&gt; | 5, call() | =&gt; |         |
|          |     | 7        |       |        |     | ...       |    |         |
| Process  |     | ...      |       | Local  |     +-----------+    | Process |
|  Pool    |     +----------+       | Worker |                      |  #1..n  |
| Executor |                        | Thread |                      |         |
|          |     +----------- +     |        |     +-----------+    |         |
|          | &lt;=&gt; | Work Items | &lt;=&gt; |        | &lt;=  | Result Q  | &lt;= |         |
|          |     +------------+     |        |     +-----------+    |         |
|          |     | 6: call()  |     |        |     | ...       |    |         |
|          |     |    future  |     |        |     | 4, result |    |         |
|          |     | ...        |     |        |     | 3, except |    |         |
+----------+     +------------+     +--------+     +-----------+    +---------+

Executor.submit() called:
- creates a uniquely numbered _WorkItem and adds it to the &quot;Work Items&quot; dict
- adds the id of the _WorkItem to the &quot;Work Ids&quot; queue

Local worker thread:
- reads work ids from the &quot;Work Ids&quot; queue and looks up the corresponding
  WorkItem from the &quot;Work Items&quot; dict: if the work item has been cancelled then
  it is simply removed from the dict, otherwise it is repackaged as a
  _CallItem and put in the &quot;Call Q&quot;. New _CallItems are put in the &quot;Call Q&quot;
  until &quot;Call Q&quot; is full. NOTE: the size of the &quot;Call Q&quot; is kept small because
  calls placed in the &quot;Call Q&quot; can no longer be cancelled with Future.cancel().
- reads _ResultItems from &quot;Result Q&quot;, updates the future stored in the
  &quot;Work Items&quot; dict and deletes the dict entry

Process #1..n:
- reads _CallItems from &quot;Call Q&quot;, executes the calls, and puts the resulting
  _ResultItems in &quot;Result Q&quot;
&quot;&quot;&quot;

__author__ = 'Brian Quinlan (brian@sweetapp.com)'

import os
from concurrent.futures import _base
import queue
import multiprocessing as mp
import multiprocessing.connection
from multiprocessing.queues import Queue
import threading
import weakref
from functools import partial
import itertools
import sys
import traceback


_threads_wakeups = weakref.WeakKeyDictionary()
_global_shutdown = False


class _ThreadWakeup:
    def __init__(self):
        self._closed = False
        self._reader, self._writer = mp.Pipe(duplex=False)

    def close(self):
        if not self._closed:
            self._closed = True
            self._writer.close()
            self._reader.close()

    def wakeup(self):
        if not self._closed:
            self._writer.send_bytes(b&quot;&quot;)

    def clear(self):
        if not self._closed:
            while self._reader.poll():
                self._reader.recv_bytes()


def _python_exit():
    global _global_shutdown
    _global_shutdown = True
    items = list(_threads_wakeups.items())
    for _, thread_wakeup in items:
        # call not protected by ProcessPoolExecutor._shutdown_lock
        thread_wakeup.wakeup()
    for t, _ in items:
        t.join()

# Register for `_python_exit()` to be called just before joining all
# non-daemon threads. This is used instead of `atexit.register()` for
# compatibility with subinterpreters, which no longer support daemon threads.
# See bpo-39812 for context.
threading._register_atexit(_python_exit)

# Controls how many more calls than processes will be queued in the call queue.
# A smaller number will mean that processes spend more time idle waiting for
# work while a larger number will make Future.cancel() succeed less frequently
# (Futures in the call queue cannot be cancelled).
EXTRA_QUEUED_CALLS = 1


# On Windows, WaitForMultipleObjects is used to wait for processes to finish.
# It can wait on, at most, 63 objects. There is an overhead of two objects:
# - the result queue reader
# - the thread wakeup reader
_MAX_WINDOWS_WORKERS = 63 - 2

# Hack to embed stringification of remote traceback in local traceback

class _RemoteTraceback(Exception):
    def __init__(self, tb):
        self.tb = tb
    def __str__(self):
        return self.tb

class _ExceptionWithTraceback:
    def __init__(self, exc, tb):
        tb = traceback.format_exception(type(exc), exc, tb)
        tb = ''.join(tb)
        self.exc = exc
        # Traceback object needs to be garbage-collected as its frames
        # contain references to all the objects in the exception scope
        self.exc.__traceback__ = None
        self.tb = '\n&quot;&quot;&quot;\n%s&quot;&quot;&quot;' % tb
    def __reduce__(self):
        return _rebuild_exc, (self.exc, self.tb)

def _rebuild_exc(exc, tb):
    exc.__cause__ = _RemoteTraceback(tb)
    return exc

class _WorkItem(object):
    def __init__(self, future, fn, args, kwargs):
        self.future = future
        self.fn = fn
        self.args = args
        self.kwargs = kwargs

class _ResultItem(object):
    def __init__(self, work_id, exception=None, result=None):
        self.work_id = work_id
        self.exception = exception
        self.result = result

class _CallItem(object):
    def __init__(self, work_id, fn, args, kwargs):
        self.work_id = work_id
        self.fn = fn
        self.args = args
        self.kwargs = kwargs


class _SafeQueue(Queue):
    &quot;&quot;&quot;Safe Queue set exception to the future object linked to a job&quot;&quot;&quot;
    def __init__(self, max_size=0, *, ctx, pending_work_items, shutdown_lock,
                 thread_wakeup):
        self.pending_work_items = pending_work_items
        self.shutdown_lock = shutdown_lock
        self.thread_wakeup = thread_wakeup
        super().__init__(max_size, ctx=ctx)

    def _on_queue_feeder_error(self, e, obj):
        if isinstance(obj, _CallItem):
            tb = traceback.format_exception(type(e), e, e.__traceback__)
            e.__cause__ = _RemoteTraceback('\n&quot;&quot;&quot;\n{}&quot;&quot;&quot;'.format(''.join(tb)))
            work_item = self.pending_work_items.pop(obj.work_id, None)
            with self.shutdown_lock:
                self.thread_wakeup.wakeup()
            # work_item can be None if another process terminated. In this
            # case, the executor_manager_thread fails all work_items
            # with BrokenProcessPool
            if work_item is not None:
                work_item.future.set_exception(e)
        else:
            super()._on_queue_feeder_error(e, obj)


def _get_chunks(*iterables, chunksize):
    &quot;&quot;&quot; Iterates over zip()ed iterables in chunks. &quot;&quot;&quot;
    it = zip(*iterables)
    while True:
        chunk = tuple(itertools.islice(it, chunksize))
        if not chunk:
            return
        yield chunk


def _process_chunk(fn, chunk):
    &quot;&quot;&quot; Processes a chunk of an iterable passed to map.

    Runs the function passed to map() on a chunk of the
    iterable passed to map.

    This function is run in a separate process.

    &quot;&quot;&quot;
    return [fn(*args) for args in chunk]


def _sendback_result(result_queue, work_id, result=None, exception=None):
    &quot;&quot;&quot;Safely send back the given result or exception&quot;&quot;&quot;
    try:
        result_queue.put(_ResultItem(work_id, result=result,
                                     exception=exception))
    except BaseException as e:
        exc = _ExceptionWithTraceback(e, e.__traceback__)
        result_queue.put(_ResultItem(work_id, exception=exc))


def _process_worker(call_queue, result_queue, initializer, initargs):
    &quot;&quot;&quot;Evaluates calls from call_queue and places the results in result_queue.

    This worker is run in a separate process.

    Args:
        call_queue: A ctx.Queue of _CallItems that will be read and
            evaluated by the worker.
        result_queue: A ctx.Queue of _ResultItems that will written
            to by the worker.
        initializer: A callable initializer, or None
        initargs: A tuple of args for the initializer
    &quot;&quot;&quot;
    if initializer is not None:
        try:
            initializer(*initargs)
        except BaseException:
            _base.LOGGER.critical('Exception in initializer:', exc_info=True)
            # The parent will notice that the process stopped and
            # mark the pool broken
            return
    while True:
        call_item = call_queue.get(block=True)
        if call_item is None:
            # Wake up queue management thread
            result_queue.put(os.getpid())
            return
        try:
            r = call_item.fn(*call_item.args, **call_item.kwargs)
        except BaseException as e:
            exc = _ExceptionWithTraceback(e, e.__traceback__)
            _sendback_result(result_queue, call_item.work_id, exception=exc)
        else:
            _sendback_result(result_queue, call_item.work_id, result=r)
            del r

        # Liberate the resource as soon as possible, to avoid holding onto
        # open files or shared memory that is not needed anymore
        del call_item


class _ExecutorManagerThread(threading.Thread):
    &quot;&quot;&quot;Manages the communication between this process and the worker processes.

    The manager is run in a local thread.

    Args:
        executor: A reference to the ProcessPoolExecutor that owns
            this thread. A weakref will be own by the manager as well as
            references to internal objects used to introspect the state of
            the executor.
    &quot;&quot;&quot;

    def __init__(self, executor):
        # Store references to necessary internals of the executor.

        # A _ThreadWakeup to allow waking up the queue_manager_thread from the
        # main Thread and avoid deadlocks caused by permanently locked queues.
        self.thread_wakeup = executor._executor_manager_thread_wakeup
        self.shutdown_lock = executor._shutdown_lock

        # A weakref.ref to the ProcessPoolExecutor that owns this thread. Used
        # to determine if the ProcessPoolExecutor has been garbage collected
        # and that the manager can exit.
        # When the executor gets garbage collected, the weakref callback
        # will wake up the queue management thread so that it can terminate
        # if there is no pending work item.
        def weakref_cb(_,
                       thread_wakeup=self.thread_wakeup,
                       shutdown_lock=self.shutdown_lock):
            mp.util.debug('Executor collected: triggering callback for'
                          ' QueueManager wakeup')
            with shutdown_lock:
                thread_wakeup.wakeup()

        self.executor_reference = weakref.ref(executor, weakref_cb)

        # A list of the ctx.Process instances used as workers.
        self.processes = executor._processes

        # A ctx.Queue that will be filled with _CallItems derived from
        # _WorkItems for processing by the process workers.
        self.call_queue = executor._call_queue

        # A ctx.SimpleQueue of _ResultItems generated by the process workers.
        self.result_queue = executor._result_queue

        # A queue.Queue of work ids e.g. Queue([5, 6, ...]).
        self.work_ids_queue = executor._work_ids

        # A dict mapping work ids to _WorkItems e.g.
        #     {5: &lt;_WorkItem...&gt;, 6: &lt;_WorkItem...&gt;, ...}
        self.pending_work_items = executor._pending_work_items

        super().__init__()

    def run(self):
        # Main loop for the executor manager thread.

        while True:
            self.add_call_item_to_queue()

            result_item, is_broken, cause = self.wait_result_broken_or_wakeup()

            if is_broken:
                self.terminate_broken(cause)
                return
            if result_item is not None:
                self.process_result_item(result_item)
                # Delete reference to result_item to avoid keeping references
                # while waiting on new results.
                del result_item

                # attempt to increment idle process count
                executor = self.executor_reference()
                if executor is not None:
                    executor._idle_worker_semaphore.release()
                del executor

            if self.is_shutting_down():
                self.flag_executor_shutting_down()

                # Since no new work items can be added, it is safe to shutdown
                # this thread if there are no pending work items.
                if not self.pending_work_items:
                    self.join_executor_internals()
                    return

    def add_call_item_to_queue(self):
        # Fills call_queue with _WorkItems from pending_work_items.
        # This function never blocks.
        while True:
            if self.call_queue.full():
                return
            try:
                work_id = self.work_ids_queue.get(block=False)
            except queue.Empty:
                return
            else:
                work_item = self.pending_work_items[work_id]

                if work_item.future.set_running_or_notify_cancel():
                    self.call_queue.put(_CallItem(work_id,
                                                  work_item.fn,
                                                  work_item.args,
                                                  work_item.kwargs),
                                        block=True)
                else:
                    del self.pending_work_items[work_id]
                    continue

    def wait_result_broken_or_wakeup(self):
        # Wait for a result to be ready in the result_queue while checking
        # that all worker processes are still running, or for a wake up
        # signal send. The wake up signals come either from new tasks being
        # submitted, from the executor being shutdown/gc-ed, or from the
        # shutdown of the python interpreter.
        result_reader = self.result_queue._reader
        assert not self.thread_wakeup._closed
        wakeup_reader = self.thread_wakeup._reader
        readers = [result_reader, wakeup_reader]
        worker_sentinels = [p.sentinel for p in list(self.processes.values())]
        ready = mp.connection.wait(readers + worker_sentinels)

        cause = None
        is_broken = True
        result_item = None
        if result_reader in ready:
            try:
                result_item = result_reader.recv()
                is_broken = False
            except BaseException as e:
                cause = traceback.format_exception(type(e), e, e.__traceback__)

        elif wakeup_reader in ready:
            is_broken = False

        with self.shutdown_lock:
            self.thread_wakeup.clear()

        return result_item, is_broken, cause

    def process_result_item(self, result_item):
        # Process the received a result_item. This can be either the PID of a
        # worker that exited gracefully or a _ResultItem

        if isinstance(result_item, int):
            # Clean shutdown of a worker using its PID
            # (avoids marking the executor broken)
            assert self.is_shutting_down()
            p = self.processes.pop(result_item)
            p.join()
            if not self.processes:
                self.join_executor_internals()
                return
        else:
            # Received a _ResultItem so mark the future as completed.
            work_item = self.pending_work_items.pop(result_item.work_id, None)
            # work_item can be None if another process terminated (see above)
            if work_item is not None:
                if result_item.exception:
                    work_item.future.set_exception(result_item.exception)
                else:
                    work_item.future.set_result(result_item.result)

    def is_shutting_down(self):
        # Check whether we should start shutting down the executor.
        executor = self.executor_reference()
        # No more work items can be added if:
        #   - The interpreter is shutting down OR
        #   - The executor that owns this worker has been collected OR
        #   - The executor that owns this worker has been shutdown.
        return (_global_shutdown or executor is None
                or executor._shutdown_thread)

    def terminate_broken(self, cause):
        # Terminate the executor because it is in a broken state. The cause
        # argument can be used to display more information on the error that
        # lead the executor into becoming broken.

        # Mark the process pool broken so that submits fail right now.
        executor = self.executor_reference()
        if executor is not None:
            executor._broken = ('A child process terminated '
                                'abruptly, the process pool is not '
                                'usable anymore')
            executor._shutdown_thread = True
            executor = None

        # All pending tasks are to be marked failed with the following
        # BrokenProcessPool error
        bpe = BrokenProcessPool(&quot;A process in the process pool was &quot;
                                &quot;terminated abruptly while the future was &quot;
                                &quot;running or pending.&quot;)
        if cause is not None:
            bpe.__cause__ = _RemoteTraceback(
                f&quot;\n'''\n{''.join(cause)}'''&quot;)

        # Mark pending tasks as failed.
        for work_id, work_item in self.pending_work_items.items():
            work_item.future.set_exception(bpe)
            # Delete references to object. See issue16284
            del work_item
        self.pending_work_items.clear()

        # Terminate remaining workers forcibly: the queues or their
        # locks may be in a dirty state and block forever.
        for p in self.processes.values():
            p.terminate()

        # clean up resources
        self.join_executor_internals()

    def flag_executor_shutting_down(self):
        # Flag the executor as shutting down and cancel remaining tasks if
        # requested as early as possible if it is not gc-ed yet.
        executor = self.executor_reference()
        if executor is not None:
            executor._shutdown_thread = True
            # Cancel pending work items if requested.
            if executor._cancel_pending_futures:
                # Cancel all pending futures and update pending_work_items
                # to only have futures that are currently running.
                new_pending_work_items = {}
                for work_id, work_item in self.pending_work_items.items():
                    if not work_item.future.cancel():
                        new_pending_work_items[work_id] = work_item
                self.pending_work_items = new_pending_work_items
                # Drain work_ids_queue since we no longer need to
                # add items to the call queue.
                while True:
                    try:
                        self.work_ids_queue.get_nowait()
                    except queue.Empty:
                        break
                # Make sure we do this only once to not waste time looping
                # on running processes over and over.
                executor._cancel_pending_futures = False

    def shutdown_workers(self):
        n_children_to_stop = self.get_n_children_alive()
        n_sentinels_sent = 0
        # Send the right number of sentinels, to make sure all children are
        # properly terminated.
        while (n_sentinels_sent &lt; n_children_to_stop
                and self.get_n_children_alive() &gt; 0):
            for i in range(n_children_to_stop - n_sentinels_sent):
                try:
                    self.call_queue.put_nowait(None)
                    n_sentinels_sent += 1
                except queue.Full:
                    break

    def join_executor_internals(self):
        self.shutdown_workers()
        # Release the queue's resources as soon as possible.
        self.call_queue.close()
        self.call_queue.join_thread()
        with self.shutdown_lock:
            self.thread_wakeup.close()
        # If .join() is not called on the created processes then
        # some ctx.Queue methods may deadlock on Mac OS X.
        for p in self.processes.values():
            p.join()

    def get_n_children_alive(self):
        # This is an upper bound on the number of children alive.
        return sum(p.is_alive() for p in self.processes.values())


_system_limits_checked = False
_system_limited = None


def _check_system_limits():
    global _system_limits_checked, _system_limited
    if _system_limits_checked:
        if _system_limited:
            raise NotImplementedError(_system_limited)
    _system_limits_checked = True
    try:
        nsems_max = os.sysconf(&quot;SC_SEM_NSEMS_MAX&quot;)
    except (AttributeError, ValueError):
        # sysconf not available or setting not available
        return
    if nsems_max == -1:
        # indetermined limit, assume that limit is determined
        # by available memory only
        return
    if nsems_max &gt;= 256:
        # minimum number of semaphores available
        # according to POSIX
        return
    _system_limited = (&quot;system provides too few semaphores (%d&quot;
                       &quot; available, 256 necessary)&quot; % nsems_max)
    raise NotImplementedError(_system_limited)


def _chain_from_iterable_of_lists(iterable):
    &quot;&quot;&quot;
    Specialized implementation of itertools.chain.from_iterable.
    Each item in *iterable* should be a list.  This function is
    careful not to keep references to yielded objects.
    &quot;&quot;&quot;
    for element in iterable:
        element.reverse()
        while element:
            yield element.pop()


class BrokenProcessPool(_base.BrokenExecutor):
    &quot;&quot;&quot;
    Raised when a process in a ProcessPoolExecutor terminated abruptly
    while a future was in the running state.
    &quot;&quot;&quot;


class ProcessPoolExecutor(_base.Executor):
    def __init__(self, max_workers=None, mp_context=None,
                 initializer=None, initargs=()):
        &quot;&quot;&quot;Initializes a new ProcessPoolExecutor instance.

        Args:
            max_workers: The maximum number of processes that can be used to
                execute the given calls. If None or not given then as many
                worker processes will be created as the machine has processors.
            mp_context: A multiprocessing context to launch the workers. This
                object should provide SimpleQueue, Queue and Process.
            initializer: A callable used to initialize worker processes.
            initargs: A tuple of arguments to pass to the initializer.
        &quot;&quot;&quot;
        _check_system_limits()

        if max_workers is None:
            self._max_workers = os.cpu_count() or 1
            if sys.platform == 'win32':
                self._max_workers = min(_MAX_WINDOWS_WORKERS,
                                        self._max_workers)
        else:
            if max_workers &lt;= 0:
                raise ValueError(&quot;max_workers must be greater than 0&quot;)
            elif (sys.platform == 'win32' and
                max_workers &gt; _MAX_WINDOWS_WORKERS):
                raise ValueError(
                    f&quot;max_workers must be &lt;= {_MAX_WINDOWS_WORKERS}&quot;)

            self._max_workers = max_workers

        if mp_context is None:
            mp_context = mp.get_context()
        self._mp_context = mp_context

        # https://github.com/python/cpython/issues/90622
        self._safe_to_dynamically_spawn_children = (
                self._mp_context.get_start_method(allow_none=False) != &quot;fork&quot;)

        if initializer is not None and not callable(initializer):
            raise TypeError(&quot;initializer must be a callable&quot;)
        self._initializer = initializer
        self._initargs = initargs

        # Management thread
        self._executor_manager_thread = None

        # Map of pids to processes
        self._processes = {}

        # Shutdown is a two-step process.
        self._shutdown_thread = False
        self._shutdown_lock = threading.Lock()
        self._idle_worker_semaphore = threading.Semaphore(0)
        self._broken = False
        self._queue_count = 0
        self._pending_work_items = {}
        self._cancel_pending_futures = False

        # _ThreadWakeup is a communication channel used to interrupt the wait
        # of the main loop of executor_manager_thread from another thread (e.g.
        # when calling executor.submit or executor.shutdown). We do not use the
        # _result_queue to send wakeup signals to the executor_manager_thread
        # as it could result in a deadlock if a worker process dies with the
        # _result_queue write lock still acquired.
        #
        # _shutdown_lock must be locked to access _ThreadWakeup.
        self._executor_manager_thread_wakeup = _ThreadWakeup()

        # Create communication channels for the executor
        # Make the call queue slightly larger than the number of processes to
        # prevent the worker processes from idling. But don't make it too big
        # because futures in the call queue cannot be cancelled.
        queue_size = self._max_workers + EXTRA_QUEUED_CALLS
        self._call_queue = _SafeQueue(
            max_size=queue_size, ctx=self._mp_context,
            pending_work_items=self._pending_work_items,
            shutdown_lock=self._shutdown_lock,
            thread_wakeup=self._executor_manager_thread_wakeup)
        # Killed worker processes can produce spurious &quot;broken pipe&quot;
        # tracebacks in the queue's own worker thread. But we detect killed
        # processes anyway, so silence the tracebacks.
        self._call_queue._ignore_epipe = True
        self._result_queue = mp_context.SimpleQueue()
        self._work_ids = queue.Queue()

    def _start_executor_manager_thread(self):
        if self._executor_manager_thread is None:
            # Start the processes so that their sentinels are known.
            if not self._safe_to_dynamically_spawn_children:  # ie, using fork.
                self._launch_processes()
            self._executor_manager_thread = _ExecutorManagerThread(self)
            self._executor_manager_thread.start()
            _threads_wakeups[self._executor_manager_thread] = \
                self._executor_manager_thread_wakeup

    def _adjust_process_count(self):
        # if there's an idle process, we don't need to spawn a new one.
        if self._idle_worker_semaphore.acquire(blocking=False):
            return

        process_count = len(self._processes)
        if process_count &lt; self._max_workers:
            # Assertion disabled as this codepath is also used to replace a
            # worker that unexpectedly dies, even when using the 'fork' start
            # method. That means there is still a potential deadlock bug. If a
            # 'fork' mp_context worker dies, we'll be forking a new one when
            # we know a thread is running (self._executor_manager_thread).
            #assert self._safe_to_dynamically_spawn_children or not self._executor_manager_thread, 'https://github.com/python/cpython/issues/90622'
            self._spawn_process()

    def _launch_processes(self):
        # https://github.com/python/cpython/issues/90622
        assert not self._executor_manager_thread, (
                'Processes cannot be fork()ed after the thread has started, '
                'deadlock in the child processes could result.')
        for _ in range(len(self._processes), self._max_workers):
            self._spawn_process()

    def _spawn_process(self):
        p = self._mp_context.Process(
            target=_process_worker,
            args=(self._call_queue,
                  self._result_queue,
                  self._initializer,
                  self._initargs))
        p.start()
        self._processes[p.pid] = p

    def submit(self, fn, /, *args, **kwargs):
        with self._shutdown_lock:
            if self._broken:
                raise BrokenProcessPool(self._broken)
            if self._shutdown_thread:
                raise RuntimeError('cannot schedule new futures after shutdown')
            if _global_shutdown:
                raise RuntimeError('cannot schedule new futures after '
                                   'interpreter shutdown')

            f = _base.Future()
            w = _WorkItem(f, fn, args, kwargs)

            self._pending_work_items[self._queue_count] = w
            self._work_ids.put(self._queue_count)
            self._queue_count += 1
            # Wake up queue management thread
            self._executor_manager_thread_wakeup.wakeup()

            if self._safe_to_dynamically_spawn_children:
                self._adjust_process_count()
            self._start_executor_manager_thread()
            return f
    submit.__doc__ = _base.Executor.submit.__doc__

    def map(self, fn, *iterables, timeout=None, chunksize=1):
        &quot;&quot;&quot;Returns an iterator equivalent to map(fn, iter).

        Args:
            fn: A callable that will take as many arguments as there are
                passed iterables.
            timeout: The maximum number of seconds to wait. If None, then there
                is no limit on the wait time.
            chunksize: If greater than one, the iterables will be chopped into
                chunks of size chunksize and submitted to the process pool.
                If set to one, the items in the list will be sent one at a time.

        Returns:
            An iterator equivalent to: map(func, *iterables) but the calls may
            be evaluated out-of-order.

        Raises:
            TimeoutError: If the entire result iterator could not be generated
                before the given timeout.
            Exception: If fn(*args) raises for any values.
        &quot;&quot;&quot;
        if chunksize &lt; 1:
            raise ValueError(&quot;chunksize must be &gt;= 1.&quot;)

        results = super().map(partial(_process_chunk, fn),
                              _get_chunks(*iterables, chunksize=chunksize),
                              timeout=timeout)
        return _chain_from_iterable_of_lists(results)

    def shutdown(self, wait=True, *, cancel_futures=False):
        with self._shutdown_lock:
            self._cancel_pending_futures = cancel_futures
            self._shutdown_thread = True
            if self._executor_manager_thread_wakeup is not None:
                # Wake up queue management thread
                self._executor_manager_thread_wakeup.wakeup()

        if self._executor_manager_thread is not None and wait:
            self._executor_manager_thread.join()
        # To reduce the risk of opening too many files, remove references to
        # objects that use file descriptors.
        self._executor_manager_thread = None
        self._call_queue = None
        if self._result_queue is not None and wait:
            self._result_queue.close()
        self._result_queue = None
        self._processes = None
        self._executor_manager_thread_wakeup = None

    shutdown.__doc__ = _base.Executor.shutdown.__doc__
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        <input type='submit' name='content_save' value='💾 Save'>
        </form>
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