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96085cc4-24c0-4a46-839a-52c0354722b1
CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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Return whether there is any data available to be read. If *timeout* is not specified then it will return immediately. If *timeout* is a number then this specifies the maximum time in seconds to block. If *timeout* is ``None`` then an infinite timeout is used.
trusted_official_docs
CPython Docs
Return whether there is any data available to be read. If *timeout* is not specified then it will return immediately. If *timeout* is a number then this specifies the maximum time in seconds to block. If *timeout* is ``None`` then an infinite timeout is used.
Return whether there is any data available to be read. If *timeout* is not specified then it will return immediately. If *timeout* is a number then this specifies the maximum time in seconds to block. If *timeout* is ``None`` then an infinite timeout is used.
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CPython Docs
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as the secret key for an HMAC-based authentication challenge. No authentication is done if *authkey* is ``None``. :exc:`~multiprocessing.AuthenticationError` is raised if authentication fails. See :ref:`multiprocessing-auth-keys`. .. class:: Listener([address[, family[, backlog[, authkey]]]])
trusted_official_docs
CPython Docs
as the secret key for an HMAC-based authentication challenge. No authentication is done if *authkey* is ``None``. :exc:`~multiprocessing.AuthenticationError` is raised if authentication fails. See :ref:`multiprocessing-auth-keys`. .. class:: Listener([address[, family[, backlog[, authkey]]]])
as the secret key for an HMAC-based authentication challenge. No authentication is done if *authkey* is ``None``. :exc:`~multiprocessing.AuthenticationError` is raised if authentication fails. See :ref:`multiprocessing-auth-keys`. .. class:: Listener([address[, family[, backlog[, authkey]]]])
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CPython Docs
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A manager object returned by :func:`Manager` controls a server process which holds Python objects and allows other processes to manipulate them using proxies. A manager returned by :func:`Manager` will support types :class:`list`, :class:`dict`, :class:`set`, :class:`~managers.Namespace`, :class:`Lock`, :class:`RLock...
trusted_official_docs
CPython Docs
A manager object returned by :func:`Manager` controls a server process which holds Python objects and allows other processes to manipulate them using proxies. A manager returned by :func:`Manager` will support types :class:`list`, :class:`dict`, :class:`set`, :class:`~managers.Namespace`, :class:`Lock`, :class:`RLock...
A manager object returned by :func:`Manager` controls a server process which holds Python objects and allows other processes to manipulate them using proxies. A manager returned by :func:`Manager` will support types :class:`list`, :class:`dict`, :class:`set`, :class:`~managers.Namespace`, :class:`Lock`, :class:`RLock...
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.. function:: multiprocessing.Manager() :module: Returns a started :class:`~multiprocessing.managers.SyncManager` object which can be used for sharing objects between processes. The returned manager object corresponds to a spawned child process and has methods which will create shared objects and return correspondin...
trusted_official_docs
CPython Docs
.. function:: multiprocessing.Manager() :module: Returns a started :class:`~multiprocessing.managers.SyncManager` object which can be used for sharing objects between processes. The returned manager object corresponds to a spawned child process and has methods which will create shared objects and return correspondin...
.. function:: multiprocessing.Manager() :module: Returns a started :class:`~multiprocessing.managers.SyncManager` object which can be used for sharing objects between processes. The returned manager object corresponds to a spawned child process and has methods which will create shared objects and return correspondin...
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Return the number of CPUs in the system. This number is not equivalent to the number of CPUs the current process can use. The number of usable CPUs can be obtained with :func:`os.process_cpu_count` (or ``len(os.sched_getaffinity(0))``).
trusted_official_docs
CPython Docs
Return the number of CPUs in the system. This number is not equivalent to the number of CPUs the current process can use. The number of usable CPUs can be obtained with :func:`os.process_cpu_count` (or ``len(os.sched_getaffinity(0))``).
Return the number of CPUs in the system. This number is not equivalent to the number of CPUs the current process can use. The number of usable CPUs can be obtained with :func:`os.process_cpu_count` (or ``len(os.sched_getaffinity(0))``).
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*serializer* must be ``'pickle'`` (use :mod:`pickle` serialization) or ``'xmlrpclib'`` (use :mod:`xmlrpc.client` serialization). *ctx* is a context object, or ``None`` (use the current context). If ``None``, calling this may set the global start method. See :ref:`global-start-method` for more details.
trusted_official_docs
CPython Docs
*serializer* must be ``'pickle'`` (use :mod:`pickle` serialization) or ``'xmlrpclib'`` (use :mod:`xmlrpc.client` serialization). *ctx* is a context object, or ``None`` (use the current context). If ``None``, calling this may set the global start method. See :ref:`global-start-method` for more details.
*serializer* must be ``'pickle'`` (use :mod:`pickle` serialization) or ``'xmlrpclib'`` (use :mod:`xmlrpc.client` serialization). *ctx* is a context object, or ``None`` (use the current context). If ``None``, calling this may set the global start method. See :ref:`global-start-method` for more details.
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does not block. If the lock is currently in a locked state, return ``False``; otherwise set the lock to a locked state and return ``True``. When invoked with a positive, floating-point value for *timeout*, block for at most the number of seconds specified by *timeout* as long as the lock can not be acquired. Invocati...
trusted_official_docs
CPython Docs
does not block. If the lock is currently in a locked state, return ``False``; otherwise set the lock to a locked state and return ``True``. When invoked with a positive, floating-point value for *timeout*, block for at most the number of seconds specified by *timeout* as long as the lock can not be acquired. Invocati...
does not block. If the lock is currently in a locked state, return ``False``; otherwise set the lock to a locked state and return ``True``. When invoked with a positive, floating-point value for *timeout*, block for at most the number of seconds specified by *timeout* as long as the lock can not be acquired. Invocati...
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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.. function:: Array(typecode_or_type, size_or_initializer, *, lock=True, ctx=None) The same as :func:`RawArray` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes array.
trusted_official_docs
CPython Docs
.. function:: Array(typecode_or_type, size_or_initializer, *, lock=True, ctx=None) The same as :func:`RawArray` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes array.
.. function:: Array(typecode_or_type, size_or_initializer, *, lock=True, ctx=None) The same as :func:`RawArray` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes array.
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Local_Trusted_Corpus
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CPython Docs
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dabaa007-4d48-4185-8c2f-de72cec02891
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The address from which the last accepted connection came. If this is unavailable then it is ``None``. .. versionchanged:: 3.3 Listener objects now support the context management protocol -- see :ref:`typecontextmanager`. :meth:`~contextmanager.__enter__` returns the listener object, and :meth:`~contextmanager.__exit...
trusted_official_docs
CPython Docs
The address from which the last accepted connection came. If this is unavailable then it is ``None``. .. versionchanged:: 3.3 Listener objects now support the context management protocol -- see :ref:`typecontextmanager`. :meth:`~contextmanager.__enter__` returns the listener object, and :meth:`~contextmanager.__exit...
The address from which the last accepted connection came. If this is unavailable then it is ``None``. .. versionchanged:: 3.3 Listener objects now support the context management protocol -- see :ref:`typecontextmanager`. :meth:`~contextmanager.__enter__` returns the listener object, and :meth:`~contextmanager.__exit...
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Local_Trusted_Corpus
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CPython Docs
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A connection or socket object is ready when there is data available to be read from it, or the other end has been closed. **POSIX**: ``wait(object_list, timeout)`` almost equivalent ``select.select(object_list, [], [], timeout)``. The difference is that, if :func:`select.select` is interrupted by a signal, it can ra...
trusted_official_docs
CPython Docs
A connection or socket object is ready when there is data available to be read from it, or the other end has been closed. **POSIX**: ``wait(object_list, timeout)`` almost equivalent ``select.select(object_list, [], [], timeout)``. The difference is that, if :func:`select.select` is interrupted by a signal, it can ra...
A connection or socket object is ready when there is data available to be read from it, or the other end has been closed. **POSIX**: ``wait(object_list, timeout)`` almost equivalent ``select.select(object_list, [], [], timeout)``. The difference is that, if :func:`select.select` is interrupted by a signal, it can ra...
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Local_Trusted_Corpus
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CPython Docs
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Return a ctypes array allocated from shared memory. By default the return value is actually a synchronized wrapper for the array. *typecode_or_type* determines the type of the elements of the returned array: it is either a :ref:`ctypes type <ctypes-fundamental-data-types>` or a one character typecode of the kind used...
trusted_official_docs
CPython Docs
Return a ctypes array allocated from shared memory. By default the return value is actually a synchronized wrapper for the array. *typecode_or_type* determines the type of the elements of the returned array: it is either a :ref:`ctypes type <ctypes-fundamental-data-types>` or a one character typecode of the kind used...
Return a ctypes array allocated from shared memory. By default the return value is actually a synchronized wrapper for the array. *typecode_or_type* determines the type of the elements of the returned array: it is either a :ref:`ctypes type <ctypes-fundamental-data-types>` or a one character typecode of the kind used...
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CPython Docs
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Joining zombie processes On POSIX when a process finishes but has not been joined it becomes a zombie. There should never be very many because each time a new process starts (or :func:`~multiprocessing.active_children` is called) all completed processes which have not yet been joined will be joined. Also calling a fi...
trusted_official_docs
CPython Docs
Joining zombie processes On POSIX when a process finishes but has not been joined it becomes a zombie. There should never be very many because each time a new process starts (or :func:`~multiprocessing.active_children` is called) all completed processes which have not yet been joined will be joined. Also calling a fi...
Joining zombie processes On POSIX when a process finishes but has not been joined it becomes a zombie. There should never be very many because each time a new process starts (or :func:`~multiprocessing.active_children` is called) all completed processes which have not yet been joined will be joined. Also calling a fi...
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CPython Docs
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for each task removed from the queue or else the semaphore used to count the number of unfinished tasks may eventually overflow, raising an exception. One difference from other Python queue implementations, is that :mod:`!multiprocessing` queues serializes all objects that are put into them using :mod:`pickle`. The obj...
trusted_official_docs
CPython Docs
for each task removed from the queue or else the semaphore used to count the number of unfinished tasks may eventually overflow, raising an exception. One difference from other Python queue implementations, is that :mod:`!multiprocessing` queues serializes all objects that are put into them using :mod:`pickle`. The obj...
for each task removed from the queue or else the semaphore used to count the number of unfinished tasks may eventually overflow, raising an exception. One difference from other Python queue implementations, is that :mod:`!multiprocessing` queues serializes all objects that are put into them using :mod:`pickle`. The obj...
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Due to this, the :mod:`!multiprocessing` module allows the programmer to fully leverage multiple processors on a given machine. It runs on both POSIX and Windows. The :mod:`!multiprocessing` module also introduces the :class:`~multiprocessing.pool.Pool` object which offers a convenient means of parallelizing the execut...
trusted_official_docs
CPython Docs
Due to this, the :mod:`!multiprocessing` module allows the programmer to fully leverage multiple processors on a given machine. It runs on both POSIX and Windows. The :mod:`!multiprocessing` module also introduces the :class:`~multiprocessing.pool.Pool` object which offers a convenient means of parallelizing the execut...
Due to this, the :mod:`!multiprocessing` module allows the programmer to fully leverage multiple processors on a given machine. It runs on both POSIX and Windows. The :mod:`!multiprocessing` module also introduces the :class:`~multiprocessing.pool.Pool` object which offers a convenient means of parallelizing the execut...
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CPython Docs
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.. currentmodule:: multiprocessing.pool In particular, the ``Pool`` function provided by :mod:`!multiprocessing.dummy` returns an instance of :class:`ThreadPool`, which is a subclass of :class:`Pool` that supports all the same method calls but uses a pool of worker threads rather than worker processes.
trusted_official_docs
CPython Docs
.. currentmodule:: multiprocessing.pool In particular, the ``Pool`` function provided by :mod:`!multiprocessing.dummy` returns an instance of :class:`ThreadPool`, which is a subclass of :class:`Pool` that supports all the same method calls but uses a pool of worker threads rather than worker processes.
.. currentmodule:: multiprocessing.pool In particular, the ``Pool`` function provided by :mod:`!multiprocessing.dummy` returns an instance of :class:`ThreadPool`, which is a subclass of :class:`Pool` that supports all the same method calls but uses a pool of worker threads rather than worker processes.
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CPython Docs
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.. method:: recv_bytes_into(buf[, offset]) Read into *buf* a complete message of byte data sent from the other end of the connection and return the number of bytes in the message. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end was closed.
trusted_official_docs
CPython Docs
.. method:: recv_bytes_into(buf[, offset]) Read into *buf* a complete message of byte data sent from the other end of the connection and return the number of bytes in the message. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end was closed.
.. method:: recv_bytes_into(buf[, offset]) Read into *buf* a complete message of byte data sent from the other end of the connection and return the number of bytes in the message. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end was closed.
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CPython Docs
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.. warning:: If a process is killed while it is trying to read or write to a pipe then the data in the pipe is likely to become corrupted, because it may become impossible to be sure where the message boundaries lie.
trusted_official_docs
CPython Docs
.. warning:: If a process is killed while it is trying to read or write to a pipe then the data in the pipe is likely to become corrupted, because it may become impossible to be sure where the message boundaries lie.
.. warning:: If a process is killed while it is trying to read or write to a pipe then the data in the pipe is likely to become corrupted, because it may become impossible to be sure where the message boundaries lie.
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after :meth:`close` has been called. It blocks until the background thread exits, ensuring that all data in the buffer has been flushed to the pipe. By default if a process is not the creator of the queue then on exit it will attempt to join the queue's background thread. The process can call :meth:`cancel_join_threa...
trusted_official_docs
CPython Docs
after :meth:`close` has been called. It blocks until the background thread exits, ensuring that all data in the buffer has been flushed to the pipe. By default if a process is not the creator of the queue then on exit it will attempt to join the queue's background thread. The process can call :meth:`cancel_join_threa...
after :meth:`close` has been called. It blocks until the background thread exits, ensuring that all data in the buffer has been flushed to the pipe. By default if a process is not the creator of the queue then on exit it will attempt to join the queue's background thread. The process can call :meth:`cancel_join_threa...
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that (by default) all processes of a multi-process program will share a single authentication key which can be used when setting up connections between themselves. Suitable authentication keys can also be generated by using :func:`os.urandom`.
trusted_official_docs
CPython Docs
that (by default) all processes of a multi-process program will share a single authentication key which can be used when setting up connections between themselves. Suitable authentication keys can also be generated by using :func:`os.urandom`.
that (by default) all processes of a multi-process program will share a single authentication key which can be used when setting up connections between themselves. Suitable authentication keys can also be generated by using :func:`os.urandom`.
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.. method:: recv_bytes([maxlength]) Return a complete message of byte data sent from the other end of the connection as a string. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end has closed.
trusted_official_docs
CPython Docs
.. method:: recv_bytes([maxlength]) Return a complete message of byte data sent from the other end of the connection as a string. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end has closed.
.. method:: recv_bytes([maxlength]) Return a complete message of byte data sent from the other end of the connection as a string. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end has closed.
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.. _multiprocessing-start-method-spawn: *spawn* The parent process starts a fresh Python interpreter process. The child process will only inherit those resources necessary to run the process object's :meth:`~Process.run` method. In particular, unnecessary file descriptors and handles from the parent process will n...
trusted_official_docs
CPython Docs
.. _multiprocessing-start-method-spawn: *spawn* The parent process starts a fresh Python interpreter process. The child process will only inherit those resources necessary to run the process object's :meth:`~Process.run` method. In particular, unnecessary file descriptors and handles from the parent process will n...
.. _multiprocessing-start-method-spawn: *spawn* The parent process starts a fresh Python interpreter process. The child process will only inherit those resources necessary to run the process object's :meth:`~Process.run` method. In particular, unnecessary file descriptors and handles from the parent process will n...
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will be initially zeroed. Otherwise, *size_or_initializer* is a sequence which is used to initialize the array and whose length determines the length of the array. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`Lock` or :class:`RLock` o...
trusted_official_docs
CPython Docs
will be initially zeroed. Otherwise, *size_or_initializer* is a sequence which is used to initialize the array and whose length determines the length of the array. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`Lock` or :class:`RLock` o...
will be initially zeroed. Otherwise, *size_or_initializer* is a sequence which is used to initialize the array and whose length determines the length of the array. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`Lock` or :class:`RLock` o...
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.. versionchanged:: 3.8 On macOS, the *spawn* start method is now the default. The *fork* start method should be considered unsafe as it can lead to crashes of the subprocess. See :issue:`33725`.
trusted_official_docs
CPython Docs
.. versionchanged:: 3.8 On macOS, the *spawn* start method is now the default. The *fork* start method should be considered unsafe as it can lead to crashes of the subprocess. See :issue:`33725`.
.. versionchanged:: 3.8 On macOS, the *spawn* start method is now the default. The *fork* start method should be considered unsafe as it can lead to crashes of the subprocess. See :issue:`33725`.
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Local_Trusted_Corpus
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CPython Docs
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Note that :class:`Lock` is actually a factory function which returns an instance of ``multiprocessing.synchronize.Lock`` initialized with a default context. Instantiating this class may set the global start method. See :ref:`global-start-method` for more details.
trusted_official_docs
CPython Docs
Note that :class:`Lock` is actually a factory function which returns an instance of ``multiprocessing.synchronize.Lock`` initialized with a default context. Instantiating this class may set the global start method. See :ref:`global-start-method` for more details.
Note that :class:`Lock` is actually a factory function which returns an instance of ``multiprocessing.synchronize.Lock`` initialized with a default context. Instantiating this class may set the global start method. See :ref:`global-start-method` for more details.
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CPython Docs
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most that many seconds. If *timeout* is ``None`` then it will block for an unlimited period. A negative timeout is equivalent to a zero timeout. For both POSIX and Windows, an object can appear in *object_list* if it is
trusted_official_docs
CPython Docs
most that many seconds. If *timeout* is ``None`` then it will block for an unlimited period. A negative timeout is equivalent to a zero timeout. For both POSIX and Windows, an object can appear in *object_list* if it is
most that many seconds. If *timeout* is ``None`` then it will block for an unlimited period. A negative timeout is equivalent to a zero timeout. For both POSIX and Windows, an object can appear in *object_list* if it is
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CPython Docs
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The same as :func:`RawValue` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes object. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`~multiprocessing.Lock` or :c...
trusted_official_docs
CPython Docs
The same as :func:`RawValue` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes object. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`~multiprocessing.Lock` or :c...
The same as :func:`RawValue` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes object. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`~multiprocessing.Lock` or :c...
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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Block until all items in the queue have been gotten and processed. The count of unfinished tasks goes up whenever an item is added to the queue. The count goes down whenever a consumer calls :meth:`task_done` to indicate that the item was retrieved and all work on it is complete. When the count of unfinished tasks d...
trusted_official_docs
CPython Docs
Block until all items in the queue have been gotten and processed. The count of unfinished tasks goes up whenever an item is added to the queue. The count goes down whenever a consumer calls :meth:`task_done` to indicate that the item was retrieved and all work on it is complete. When the count of unfinished tasks d...
Block until all items in the queue have been gotten and processed. The count of unfinished tasks goes up whenever an item is added to the queue. The count goes down whenever a consumer calls :meth:`task_done` to indicate that the item was retrieved and all work on it is complete. When the count of unfinished tasks d...
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CPython Docs
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as a string. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end has closed. If *maxlength* is specified and the message is longer than *maxlength* then :exc:`OSError` is raised and the connection will no longer be readable.
trusted_official_docs
CPython Docs
as a string. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end has closed. If *maxlength* is specified and the message is longer than *maxlength* then :exc:`OSError` is raised and the connection will no longer be readable.
as a string. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end has closed. If *maxlength* is specified and the message is longer than *maxlength* then :exc:`OSError` is raised and the connection will no longer be readable.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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supabase-export-v2
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objects between processes. The returned manager object corresponds to a spawned child process and has methods which will create shared objects and return corresponding proxies. .. module:: multiprocessing.managers :synopsis: Share data between process with shared objects.
trusted_official_docs
CPython Docs
objects between processes. The returned manager object corresponds to a spawned child process and has methods which will create shared objects and return corresponding proxies. .. module:: multiprocessing.managers :synopsis: Share data between process with shared objects.
objects between processes. The returned manager object corresponds to a spawned child process and has methods which will create shared objects and return corresponding proxies. .. module:: multiprocessing.managers :synopsis: Share data between process with shared objects.
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Local_Trusted_Corpus
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CPython Docs
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.. method:: close() Close the bound socket or named pipe of the listener object. This is called automatically when the listener is garbage collected. However it is advisable to call it explicitly.
trusted_official_docs
CPython Docs
.. method:: close() Close the bound socket or named pipe of the listener object. This is called automatically when the listener is garbage collected. However it is advisable to call it explicitly.
.. method:: close() Close the bound socket or named pipe of the listener object. This is called automatically when the listener is garbage collected. However it is advisable to call it explicitly.
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Local_Trusted_Corpus
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CPython Docs
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.. currentmodule:: multiprocessing .. function:: log_to_stderr(level=None) This function performs a call to :func:`get_logger` but in addition to returning the logger created by get_logger, it adds a handler which sends output to :data:`sys.stderr` using format ``'[%(levelname)s/%(processName)s] %(message)s'``. You ...
trusted_official_docs
CPython Docs
.. currentmodule:: multiprocessing .. function:: log_to_stderr(level=None) This function performs a call to :func:`get_logger` but in addition to returning the logger created by get_logger, it adds a handler which sends output to :data:`sys.stderr` using format ``'[%(levelname)s/%(processName)s] %(message)s'``. You ...
.. currentmodule:: multiprocessing .. function:: log_to_stderr(level=None) This function performs a call to :func:`get_logger` but in addition to returning the logger created by get_logger, it adds a handler which sends output to :data:`sys.stderr` using format ``'[%(levelname)s/%(processName)s] %(message)s'``. You ...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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dabaa007-4d48-4185-8c2f-de72cec02891
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.. class:: Queue([maxsize]) Returns a process shared queue implemented using a pipe and a few locks/semaphores. When a process first puts an item on the queue a feeder thread is started which transfers objects from a buffer into the pipe.
trusted_official_docs
CPython Docs
.. class:: Queue([maxsize]) Returns a process shared queue implemented using a pipe and a few locks/semaphores. When a process first puts an item on the queue a feeder thread is started which transfers objects from a buffer into the pipe.
.. class:: Queue([maxsize]) Returns a process shared queue implemented using a pipe and a few locks/semaphores. When a process first puts an item on the queue a feeder thread is started which transfers objects from a buffer into the pipe.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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.. seealso:: :class:`concurrent.futures.ProcessPoolExecutor` offers a higher level interface to push tasks to a background process without blocking execution of the calling process. Compared to using the :class:`~multiprocessing.pool.Pool` interface directly, the :mod:`concurrent.futures` API more readily allows th...
trusted_official_docs
CPython Docs
.. seealso:: :class:`concurrent.futures.ProcessPoolExecutor` offers a higher level interface to push tasks to a background process without blocking execution of the calling process. Compared to using the :class:`~multiprocessing.pool.Pool` interface directly, the :mod:`concurrent.futures` API more readily allows th...
.. seealso:: :class:`concurrent.futures.ProcessPoolExecutor` offers a higher level interface to push tasks to a background process without blocking execution of the calling process. Compared to using the :class:`~multiprocessing.pool.Pool` interface directly, the :mod:`concurrent.futures` API more readily allows th...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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supabase-export-v2
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Using a remote manager """""""""""""""""""""" It is possible to run a manager server on one machine and have clients use it from other machines (assuming that the firewalls involved allow it).
trusted_official_docs
CPython Docs
Using a remote manager """""""""""""""""""""" It is possible to run a manager server on one machine and have clients use it from other machines (assuming that the firewalls involved allow it).
Using a remote manager """""""""""""""""""""" It is possible to run a manager server on one machine and have clients use it from other machines (assuming that the firewalls involved allow it).
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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dabaa007-4d48-4185-8c2f-de72cec02891
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supabase-export-v2
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exits. Additionally, these are **not** Unix daemons or services, they are normal processes that will be terminated (and not joined) if non-daemonic processes have exited. In addition to the :class:`threading.Thread` API, :class:`Process` objects also support the following attributes and methods:
trusted_official_docs
CPython Docs
exits. Additionally, these are **not** Unix daemons or services, they are normal processes that will be terminated (and not joined) if non-daemonic processes have exited. In addition to the :class:`threading.Thread` API, :class:`Process` objects also support the following attributes and methods:
exits. Additionally, these are **not** Unix daemons or services, they are normal processes that will be terminated (and not joined) if non-daemonic processes have exited. In addition to the :class:`threading.Thread` API, :class:`Process` objects also support the following attributes and methods:
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
unknown
dabaa007-4d48-4185-8c2f-de72cec02891
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supabase-export-v2
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Instantiating this class may set the global start method. See :ref:`global-start-method` for more details. The usual :exc:`queue.Empty` and :exc:`queue.Full` exceptions from the standard library's :mod:`queue` module are raised to signal timeouts.
trusted_official_docs
CPython Docs
Instantiating this class may set the global start method. See :ref:`global-start-method` for more details. The usual :exc:`queue.Empty` and :exc:`queue.Full` exceptions from the standard library's :mod:`queue` module are raised to signal timeouts.
Instantiating this class may set the global start method. See :ref:`global-start-method` for more details. The usual :exc:`queue.Empty` and :exc:`queue.Full` exceptions from the standard library's :mod:`queue` module are raised to signal timeouts.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
unknown
dabaa007-4d48-4185-8c2f-de72cec02891
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# make a single worker sleep for 10 seconds res = pool.apply_async(time.sleep, (10,)) try: print(res.get(timeout=1)) except TimeoutError: print("We lacked patience and got a multiprocessing.TimeoutError") print("For the moment, the pool remains available for more work")
trusted_official_docs
CPython Docs
# make a single worker sleep for 10 seconds res = pool.apply_async(time.sleep, (10,)) try: print(res.get(timeout=1)) except TimeoutError: print("We lacked patience and got a multiprocessing.TimeoutError") print("For the moment, the pool remains available for more work")
# make a single worker sleep for 10 seconds res = pool.apply_async(time.sleep, (10,)) try: print(res.get(timeout=1)) except TimeoutError: print("We lacked patience and got a multiprocessing.TimeoutError") print("For the moment, the pool remains available for more work")
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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The :meth:`Connection.recv` method automatically unpickles the data it receives, which can be a security risk unless you can trust the process which sent the message. Therefore, unless the connection object was produced using :func:`Pipe` you should only use the :meth:`~Connection.recv` and :meth:`~Connection.send` m...
trusted_official_docs
CPython Docs
The :meth:`Connection.recv` method automatically unpickles the data it receives, which can be a security risk unless you can trust the process which sent the message. Therefore, unless the connection object was produced using :func:`Pipe` you should only use the :meth:`~Connection.recv` and :meth:`~Connection.send` m...
The :meth:`Connection.recv` method automatically unpickles the data it receives, which can be a security risk unless you can trust the process which sent the message. Therefore, unless the connection object was produced using :func:`Pipe` you should only use the :meth:`~Connection.recv` and :meth:`~Connection.send` m...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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{0.25: None, 1: '1', '2': 2} [9, 8, 7, 6, 5, 4, 3, 2, 1, 0] {'a', 'b'} Server process managers are more flexible than using shared memory objects because they can be made to support arbitrary object types. Also, a single manager can be shared by processes on different computers over a network. They are, however, slow...
trusted_official_docs
CPython Docs
{0.25: None, 1: '1', '2': 2} [9, 8, 7, 6, 5, 4, 3, 2, 1, 0] {'a', 'b'} Server process managers are more flexible than using shared memory objects because they can be made to support arbitrary object types. Also, a single manager can be shared by processes on different computers over a network. They are, however, slow...
{0.25: None, 1: '1', '2': 2} [9, 8, 7, 6, 5, 4, 3, 2, 1, 0] {'a', 'b'} Server process managers are more flexible than using shared memory objects because they can be made to support arbitrary object types. Also, a single manager can be shared by processes on different computers over a network. They are, however, slow...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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.. method:: task_done() Indicate that a formerly enqueued task is complete. Used by queue consumers. For each :meth:`~Queue.get` used to fetch a task, a subsequent call to :meth:`task_done` tells the queue that the processing on the task is complete.
trusted_official_docs
CPython Docs
.. method:: task_done() Indicate that a formerly enqueued task is complete. Used by queue consumers. For each :meth:`~Queue.get` used to fetch a task, a subsequent call to :meth:`task_done` tells the queue that the processing on the task is complete.
.. method:: task_done() Indicate that a formerly enqueued task is complete. Used by queue consumers. For each :meth:`~Queue.get` used to fetch a task, a subsequent call to :meth:`task_done` tells the queue that the processing on the task is complete.
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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If *initializer* is not ``None`` then each worker process will call ``initializer(*initargs)`` when it starts. *maxtasksperchild* is the number of tasks a worker process can complete before it will exit and be replaced with a fresh worker process, to enable unused resources to be freed. The default *maxtasksperchild*...
trusted_official_docs
CPython Docs
If *initializer* is not ``None`` then each worker process will call ``initializer(*initargs)`` when it starts. *maxtasksperchild* is the number of tasks a worker process can complete before it will exit and be replaced with a fresh worker process, to enable unused resources to be freed. The default *maxtasksperchild*...
If *initializer* is not ``None`` then each worker process will call ``initializer(*initargs)`` when it starts. *maxtasksperchild* is the number of tasks a worker process can complete before it will exit and be replaced with a fresh worker process, to enable unused resources to be freed. The default *maxtasksperchild*...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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the listener object uses a socket then *backlog* (1 by default) is passed to the :meth:`~socket.socket.listen` method of the socket once it has been bound. If *authkey* is given and not ``None``, it should be a byte string and will be used as the secret key for an HMAC-based authentication challenge. No authenticatio...
trusted_official_docs
CPython Docs
the listener object uses a socket then *backlog* (1 by default) is passed to the :meth:`~socket.socket.listen` method of the socket once it has been bound. If *authkey* is given and not ``None``, it should be a byte string and will be used as the secret key for an HMAC-based authentication challenge. No authenticatio...
the listener object uses a socket then *backlog* (1 by default) is passed to the :meth:`~socket.socket.listen` method of the socket once it has been bound. If *authkey* is given and not ``None``, it should be a byte string and will be used as the secret key for an HMAC-based authentication challenge. No authenticatio...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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.. method:: imap_unordered(func, iterable[, chunksize]) The same as :meth:`imap` except that the ordering of the results from the returned iterator should be considered arbitrary. (Only when there is only one worker process is the order guaranteed to be "correct".)
trusted_official_docs
CPython Docs
.. method:: imap_unordered(func, iterable[, chunksize]) The same as :meth:`imap` except that the ordering of the results from the returned iterator should be considered arbitrary. (Only when there is only one worker process is the order guaranteed to be "correct".)
.. method:: imap_unordered(func, iterable[, chunksize]) The same as :meth:`imap` except that the ordering of the results from the returned iterator should be considered arbitrary. (Only when there is only one worker process is the order guaranteed to be "correct".)
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method returned normally, the exit code will be 0. If it terminated via :func:`sys.exit` with an integer argument *N*, the exit code will be *N*. If the child terminated due to an exception not caught within :meth:`run`, the exit code will be 1. If it was terminated by signal *N*, the exit code will be the negative v...
trusted_official_docs
CPython Docs
method returned normally, the exit code will be 0. If it terminated via :func:`sys.exit` with an integer argument *N*, the exit code will be *N*. If the child terminated due to an exception not caught within :meth:`run`, the exit code will be 1. If it was terminated by signal *N*, the exit code will be the negative v...
method returned normally, the exit code will be 0. If it terminated via :func:`sys.exit` with an integer argument *N*, the exit code will be *N*. If the child terminated due to an exception not caught within :meth:`run`, the exit code will be 1. If it was terminated by signal *N*, the exit code will be the negative v...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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3.1415927 [0, -1, -2, -3, -4, -5, -6, -7, -8, -9] The ``'d'`` and ``'i'`` arguments used when creating ``num`` and ``arr`` are typecodes of the kind used by the :mod:`array` module: ``'d'`` indicates a double precision float and ``'i'`` indicates a signed integer. These shared objects will be process and thread-safe...
trusted_official_docs
CPython Docs
3.1415927 [0, -1, -2, -3, -4, -5, -6, -7, -8, -9] The ``'d'`` and ``'i'`` arguments used when creating ``num`` and ``arr`` are typecodes of the kind used by the :mod:`array` module: ``'d'`` indicates a double precision float and ``'i'`` indicates a signed integer. These shared objects will be process and thread-safe...
3.1415927 [0, -1, -2, -3, -4, -5, -6, -7, -8, -9] The ``'d'`` and ``'i'`` arguments used when creating ``num`` and ``arr`` are typecodes of the kind used by the :mod:`array` module: ``'d'`` indicates a double precision float and ``'i'`` indicates a signed integer. These shared objects will be process and thread-safe...
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CPython Docs
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supabase-export-v2
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die via an uncaught :exc:`AttributeError` exception when starting as *target* must have been defined within an importable module in order to be loaded during unpickling. Example of this uncatchable error from the child::
trusted_official_docs
CPython Docs
die via an uncaught :exc:`AttributeError` exception when starting as *target* must have been defined within an importable module in order to be loaded during unpickling. Example of this uncatchable error from the child::
die via an uncaught :exc:`AttributeError` exception when starting as *target* must have been defined within an importable module in order to be loaded during unpickling. Example of this uncatchable error from the child::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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supabase-export-v2
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ctypes type or a one character typecode of the kind used by the :mod:`array` module. *\*args* is passed on to the constructor for the type. If *lock* is ``True`` (the default) then a new recursive lock object is created to synchronize access to the value. If *lock* is a :class:`Lock` or :class:`RLock` object then tha...
trusted_official_docs
CPython Docs
ctypes type or a one character typecode of the kind used by the :mod:`array` module. *\*args* is passed on to the constructor for the type. If *lock* is ``True`` (the default) then a new recursive lock object is created to synchronize access to the value. If *lock* is a :class:`Lock` or :class:`RLock` object then tha...
ctypes type or a one character typecode of the kind used by the :mod:`array` module. *\*args* is passed on to the constructor for the type. If *lock* is ``True`` (the default) then a new recursive lock object is created to synchronize access to the value. If *lock* is a :class:`Lock` or :class:`RLock` object then tha...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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dabaa007-4d48-4185-8c2f-de72cec02891
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be picklable. This is frequently observed when trying to create a :class:`Process` or use a :class:`concurrent.futures.ProcessPoolExecutor` from a REPL with a locally defined *target* function. Passing a callable object defined in the current REPL session causes the child process to die via an uncaught :exc:`Attribute...
trusted_official_docs
CPython Docs
be picklable. This is frequently observed when trying to create a :class:`Process` or use a :class:`concurrent.futures.ProcessPoolExecutor` from a REPL with a locally defined *target* function. Passing a callable object defined in the current REPL session causes the child process to die via an uncaught :exc:`Attribute...
be picklable. This is frequently observed when trying to create a :class:`Process` or use a :class:`concurrent.futures.ProcessPoolExecutor` from a REPL with a locally defined *target* function. Passing a callable object defined in the current REPL session causes the child process to die via an uncaught :exc:`Attribute...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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dabaa007-4d48-4185-8c2f-de72cec02891
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supabase-export-v2
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Return a ctypes object allocated from shared memory. *typecode_or_type* determines the type of the returned object: it is either a ctypes type or a one character typecode of the kind used by the :mod:`array` module. *\*args* is passed on to the constructor for the type.
trusted_official_docs
CPython Docs
Return a ctypes object allocated from shared memory. *typecode_or_type* determines the type of the returned object: it is either a ctypes type or a one character typecode of the kind used by the :mod:`array` module. *\*args* is passed on to the constructor for the type.
Return a ctypes object allocated from shared memory. *typecode_or_type* determines the type of the returned object: it is either a ctypes type or a one character typecode of the kind used by the :mod:`array` module. *\*args* is passed on to the constructor for the type.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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dabaa007-4d48-4185-8c2f-de72cec02891
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cleaned up and a new process spawned to replace the old one. The *maxtasksperchild* argument to the :class:`Pool` exposes this ability to the end user. .. method:: apply(func[, args[, kwds]])
trusted_official_docs
CPython Docs
cleaned up and a new process spawned to replace the old one. The *maxtasksperchild* argument to the :class:`Pool` exposes this ability to the end user. .. method:: apply(func[, args[, kwds]])
cleaned up and a new process spawned to replace the old one. The *maxtasksperchild* argument to the :class:`Pool` exposes this ability to the end user. .. method:: apply(func[, args[, kwds]])
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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dabaa007-4d48-4185-8c2f-de72cec02891
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supabase-export-v2
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.. note:: Worker processes within a :class:`Pool` typically live for the complete duration of the Pool's work queue. A frequent pattern found in other systems (such as Apache, mod_wsgi, etc) to free resources held by workers is to allow a worker within a pool to complete only a set amount of work before exiting, be...
trusted_official_docs
CPython Docs
.. note:: Worker processes within a :class:`Pool` typically live for the complete duration of the Pool's work queue. A frequent pattern found in other systems (such as Apache, mod_wsgi, etc) to free resources held by workers is to allow a worker within a pool to complete only a set amount of work before exiting, be...
.. note:: Worker processes within a :class:`Pool` typically live for the complete duration of the Pool's work queue. A frequent pattern found in other systems (such as Apache, mod_wsgi, etc) to free resources held by workers is to allow a worker within a pool to complete only a set amount of work before exiting, be...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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dabaa007-4d48-4185-8c2f-de72cec02891
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.. function:: Value(typecode_or_type, *args, lock=True) Return a :mod:`ctypes` object allocated from shared memory. By default the return value is actually a synchronized wrapper for the object. The object itself can be accessed via the *value* attribute of a :class:`Value`.
trusted_official_docs
CPython Docs
.. function:: Value(typecode_or_type, *args, lock=True) Return a :mod:`ctypes` object allocated from shared memory. By default the return value is actually a synchronized wrapper for the object. The object itself can be accessed via the *value* attribute of a :class:`Value`.
.. function:: Value(typecode_or_type, *args, lock=True) Return a :mod:`ctypes` object allocated from shared memory. By default the return value is actually a synchronized wrapper for the object. The object itself can be accessed via the *value* attribute of a :class:`Value`.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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dabaa007-4d48-4185-8c2f-de72cec02891
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supabase-export-v2
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Return a ctypes array allocated from shared memory. *typecode_or_type* determines the type of the elements of the returned array: it is either a ctypes type or a one character typecode of the kind used by the :mod:`array` module. If *size_or_initializer* is an integer then it determines the length of the array, and ...
trusted_official_docs
CPython Docs
Return a ctypes array allocated from shared memory. *typecode_or_type* determines the type of the elements of the returned array: it is either a ctypes type or a one character typecode of the kind used by the :mod:`array` module. If *size_or_initializer* is an integer then it determines the length of the array, and ...
Return a ctypes array allocated from shared memory. *typecode_or_type* determines the type of the elements of the returned array: it is either a ctypes type or a one character typecode of the kind used by the :mod:`array` module. If *size_or_initializer* is an integer then it determines the length of the array, and ...
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Local_Trusted_Corpus
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CPython Docs
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:ref:`multiprocessing-address-formats`. Note that if *family* is ``'AF_UNIX'`` and address is ``None`` then the socket will be created in a private temporary directory created using :func:`tempfile.mkstemp`. If the listener object uses a socket then *backlog* (1 by default) is passed to the :meth:`~socket.socket.liste...
trusted_official_docs
CPython Docs
:ref:`multiprocessing-address-formats`. Note that if *family* is ``'AF_UNIX'`` and address is ``None`` then the socket will be created in a private temporary directory created using :func:`tempfile.mkstemp`. If the listener object uses a socket then *backlog* (1 by default) is passed to the :meth:`~socket.socket.liste...
:ref:`multiprocessing-address-formats`. Note that if *family* is ``'AF_UNIX'`` and address is ``None`` then the socket will be created in a private temporary directory created using :func:`tempfile.mkstemp`. If the listener object uses a socket then *backlog* (1 by default) is passed to the :meth:`~socket.socket.liste...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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supabase-export-v2
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Safe importing of main module Make sure that the main module can be safely imported by a new Python interpreter without causing unintended side effects (such as starting a new process).
trusted_official_docs
CPython Docs
Safe importing of main module Make sure that the main module can be safely imported by a new Python interpreter without causing unintended side effects (such as starting a new process).
Safe importing of main module Make sure that the main module can be safely imported by a new Python interpreter without causing unintended side effects (such as starting a new process).
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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dabaa007-4d48-4185-8c2f-de72cec02891
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supabase-export-v2
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Introduction ------------ :mod:`!multiprocessing` is a package that supports spawning processes using an API similar to the :mod:`threading` module. The :mod:`!multiprocessing` package offers both local and remote concurrency, effectively side-stepping the :term:`Global Interpreter Lock <global interpreter lock>` by us...
trusted_official_docs
CPython Docs
Introduction ------------ :mod:`!multiprocessing` is a package that supports spawning processes using an API similar to the :mod:`threading` module. The :mod:`!multiprocessing` package offers both local and remote concurrency, effectively side-stepping the :term:`Global Interpreter Lock <global interpreter lock>` by us...
Introduction ------------ :mod:`!multiprocessing` is a package that supports spawning processes using an API similar to the :mod:`threading` module. The :mod:`!multiprocessing` package offers both local and remote concurrency, effectively side-stepping the :term:`Global Interpreter Lock <global interpreter lock>` by us...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
unknown
dabaa007-4d48-4185-8c2f-de72cec02891
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supabase-export-v2
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# evaluate "f(20)" asynchronously res = pool.apply_async(f, (20,)) # runs in *only* one process print(res.get(timeout=1)) # prints "400" # evaluate "os.getpid()" asynchronously res = pool.apply_async(os.getpid, ()) # runs in *only* one process print(res.get(timeout=1)) # prints the PID of that process
trusted_official_docs
CPython Docs
# evaluate "f(20)" asynchronously res = pool.apply_async(f, (20,)) # runs in *only* one process print(res.get(timeout=1)) # prints "400" # evaluate "os.getpid()" asynchronously res = pool.apply_async(os.getpid, ()) # runs in *only* one process print(res.get(timeout=1)) # prints the PID of that process
# evaluate "f(20)" asynchronously res = pool.apply_async(f, (20,)) # runs in *only* one process print(res.get(timeout=1)) # prints "400" # evaluate "os.getpid()" asynchronously res = pool.apply_async(os.getpid, ()) # runs in *only* one process print(res.get(timeout=1)) # prints the PID of that process
python, official-docs, cpython, P0
Local_Trusted_Corpus
c2c04fc1-6d84-45c7-8dbc-c5bf3273faca
CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
unknown
dabaa007-4d48-4185-8c2f-de72cec02891
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supabase-export-v2
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print(pool.map(f, range(10))) # prints "[0, 1, 4,..., 81]" it = pool.imap(f, range(10)) print(next(it)) # prints "0" print(next(it)) # prints "1" print(it.next(timeout=1)) # prints "4" unless your computer is *very* slow
trusted_official_docs
CPython Docs
print(pool.map(f, range(10))) # prints "[0, 1, 4,..., 81]" it = pool.imap(f, range(10)) print(next(it)) # prints "0" print(next(it)) # prints "1" print(it.next(timeout=1)) # prints "4" unless your computer is *very* slow
print(pool.map(f, range(10))) # prints "[0, 1, 4,..., 81]" it = pool.imap(f, range(10)) print(next(it)) # prints "0" print(next(it)) # prints "1" print(it.next(timeout=1)) # prints "4" unless your computer is *very* slow
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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Explicitly pass resources to child processes On POSIX using the *fork* start method, a child process can make use of a shared resource created in a parent process using a global resource. However, it is better to pass the object as an argument to the constructor for the child process.
trusted_official_docs
CPython Docs
Explicitly pass resources to child processes On POSIX using the *fork* start method, a child process can make use of a shared resource created in a parent process using a global resource. However, it is better to pass the object as an argument to the constructor for the child process.
Explicitly pass resources to child processes On POSIX using the *fork* start method, a child process can make use of a shared resource created in a parent process using a global resource. However, it is better to pass the object as an argument to the constructor for the child process.
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Local_Trusted_Corpus
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CPython Docs
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used by the :mod:`array` module: ``'d'`` indicates a double precision float and ``'i'`` indicates a signed integer. These shared objects will be process and thread-safe. For more flexibility in using shared memory one can use the :mod:`multiprocessing.sharedctypes` module which supports the creation of arbitrary ctyp...
trusted_official_docs
CPython Docs
used by the :mod:`array` module: ``'d'`` indicates a double precision float and ``'i'`` indicates a signed integer. These shared objects will be process and thread-safe. For more flexibility in using shared memory one can use the :mod:`multiprocessing.sharedctypes` module which supports the creation of arbitrary ctyp...
used by the :mod:`array` module: ``'d'`` indicates a double precision float and ``'i'`` indicates a signed integer. These shared objects will be process and thread-safe. For more flexibility in using shared memory one can use the :mod:`multiprocessing.sharedctypes` module which supports the creation of arbitrary ctyp...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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supabase-export-v2
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The child's exit code. This will be ``None`` if the process has not yet terminated. If the child's :meth:`run` method returned normally, the exit code will be 0. If it terminated via :func:`sys.exit` with an integer argument *N*, the exit code will be *N*.
trusted_official_docs
CPython Docs
The child's exit code. This will be ``None`` if the process has not yet terminated. If the child's :meth:`run` method returned normally, the exit code will be 0. If it terminated via :func:`sys.exit` with an integer argument *N*, the exit code will be *N*.
The child's exit code. This will be ``None`` if the process has not yet terminated. If the child's :meth:`run` method returned normally, the exit code will be 0. If it terminated via :func:`sys.exit` with an integer argument *N*, the exit code will be *N*.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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if __name__ == '__main__': ctx = mp.get_context('spawn') q = ctx.Queue() p = ctx.Process(target=foo, args=(q,)) p.start() print(q.get()) p.join() Note that objects related to one context may not be compatible with processes for a different context. In particular, locks created using the *fork* context cannot be passed ...
trusted_official_docs
CPython Docs
if __name__ == '__main__': ctx = mp.get_context('spawn') q = ctx.Queue() p = ctx.Process(target=foo, args=(q,)) p.start() print(q.get()) p.join() Note that objects related to one context may not be compatible with processes for a different context. In particular, locks created using the *fork* context cannot be passed ...
if __name__ == '__main__': ctx = mp.get_context('spawn') q = ctx.Queue() p = ctx.Process(target=foo, args=(q,)) p.start() print(q.get()) p.join() Note that objects related to one context may not be compatible with processes for a different context. In particular, locks created using the *fork* context cannot be passed ...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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an array of :data:`ctypes.c_char` has ``value`` and ``raw`` attributes which allow one to use it to store and retrieve strings -- see documentation for :mod:`ctypes`. .. function:: Array(typecode_or_type, size_or_initializer, *, lock=True, ctx=None)
trusted_official_docs
CPython Docs
an array of :data:`ctypes.c_char` has ``value`` and ``raw`` attributes which allow one to use it to store and retrieve strings -- see documentation for :mod:`ctypes`. .. function:: Array(typecode_or_type, size_or_initializer, *, lock=True, ctx=None)
an array of :data:`ctypes.c_char` has ``value`` and ``raw`` attributes which allow one to use it to store and retrieve strings -- see documentation for :mod:`ctypes`. .. function:: Array(typecode_or_type, size_or_initializer, *, lock=True, ctx=None)
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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.. method:: map(func, iterable[, chunksize]) A parallel equivalent of the :func:`map` built-in function (it supports only one *iterable* argument though, for multiple iterables see :meth:`starmap`). It blocks until the result is ready.
trusted_official_docs
CPython Docs
.. method:: map(func, iterable[, chunksize]) A parallel equivalent of the :func:`map` built-in function (it supports only one *iterable* argument though, for multiple iterables see :meth:`starmap`). It blocks until the result is ready.
.. method:: map(func, iterable[, chunksize]) A parallel equivalent of the :func:`map` built-in function (it supports only one *iterable* argument though, for multiple iterables see :meth:`starmap`). It blocks until the result is ready.
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CPython Docs
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# launching multiple evaluations asynchronously *may* use more processes multiple_results = [pool.apply_async(os.getpid, ()) for i in range(4)] print([res.get(timeout=1) for res in multiple_results]) # make a single worker sleep for 10 seconds res = pool.apply_async(time.sleep, (10,)) try: print(res.get(timeout=1)) ...
trusted_official_docs
CPython Docs
# launching multiple evaluations asynchronously *may* use more processes multiple_results = [pool.apply_async(os.getpid, ()) for i in range(4)] print([res.get(timeout=1) for res in multiple_results]) # make a single worker sleep for 10 seconds res = pool.apply_async(time.sleep, (10,)) try: print(res.get(timeout=1)) ...
# launching multiple evaluations asynchronously *may* use more processes multiple_results = [pool.apply_async(os.getpid, ()) for i in range(4)] print([res.get(timeout=1) for res in multiple_results]) # make a single worker sleep for 10 seconds res = pool.apply_async(time.sleep, (10,)) try: print(res.get(timeout=1)) ...
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Local_Trusted_Corpus
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file://datasets/cpython/Doc/library/multiprocessing.rst
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.. _multiprocessing-start-method-fork: *fork* The parent process uses :func:`os.fork` to fork the Python interpreter. The child process, when it begins, is effectively identical to the parent process. All resources of the parent are inherited by the child process. Note that safely forking a multithreaded process i...
trusted_official_docs
CPython Docs
.. _multiprocessing-start-method-fork: *fork* The parent process uses :func:`os.fork` to fork the Python interpreter. The child process, when it begins, is effectively identical to the parent process. All resources of the parent are inherited by the child process. Note that safely forking a multithreaded process i...
.. _multiprocessing-start-method-fork: *fork* The parent process uses :func:`os.fork` to fork the Python interpreter. The child process, when it begins, is effectively identical to the parent process. All resources of the parent are inherited by the child process. Note that safely forking a multithreaded process i...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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supabase-export-v2
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a pool of worker processes to which jobs can be submitted. It supports asynchronous results with timeouts and callbacks and has a parallel map implementation. *processes* is the number of worker processes to use. If *processes* is ``None`` then the number returned by :func:`os.process_cpu_count` is used.
trusted_official_docs
CPython Docs
a pool of worker processes to which jobs can be submitted. It supports asynchronous results with timeouts and callbacks and has a parallel map implementation. *processes* is the number of worker processes to use. If *processes* is ``None`` then the number returned by :func:`os.process_cpu_count` is used.
a pool of worker processes to which jobs can be submitted. It supports asynchronous results with timeouts and callbacks and has a parallel map implementation. *processes* is the number of worker processes to use. If *processes* is ``None`` then the number returned by :func:`os.process_cpu_count` is used.
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CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.rst
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Avoid terminating processes Using the :meth:`Process.terminate <multiprocessing.Process.terminate>` method to stop a process is liable to cause any shared resources (such as locks, semaphores, pipes and queues) currently being used by the process to become broken or unavailable to other processes.
trusted_official_docs
CPython Docs
Avoid terminating processes Using the :meth:`Process.terminate <multiprocessing.Process.terminate>` method to stop a process is liable to cause any shared resources (such as locks, semaphores, pipes and queues) currently being used by the process to become broken or unavailable to other processes.
Avoid terminating processes Using the :meth:`Process.terminate <multiprocessing.Process.terminate>` method to stop a process is liable to cause any shared resources (such as locks, semaphores, pipes and queues) currently being used by the process to become broken or unavailable to other processes.
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instances, and their resources must also be properly managed, either by using the pool as a context manager or by calling :meth:`~multiprocessing.pool.Pool.close` and :meth:`~multiprocessing.pool.Pool.terminate` manually. *processes* is the number of worker threads to use. If *processes* is ``None`` then the number re...
trusted_official_docs
CPython Docs
instances, and their resources must also be properly managed, either by using the pool as a context manager or by calling :meth:`~multiprocessing.pool.Pool.close` and :meth:`~multiprocessing.pool.Pool.terminate` manually. *processes* is the number of worker threads to use. If *processes* is ``None`` then the number re...
instances, and their resources must also be properly managed, either by using the pool as a context manager or by calling :meth:`~multiprocessing.pool.Pool.close` and :meth:`~multiprocessing.pool.Pool.terminate` manually. *processes* is the number of worker threads to use. If *processes* is ``None`` then the number re...
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.. note:: This class's functionality requires a functioning shared semaphore implementation on the host operating system. Without one, the functionality in this class will be disabled, and attempts to instantiate a :class:`Queue` will result in an :exc:`ImportError`. See :issue:`3770` for additional information. Th...
trusted_official_docs
CPython Docs
.. note:: This class's functionality requires a functioning shared semaphore implementation on the host operating system. Without one, the functionality in this class will be disabled, and attempts to instantiate a :class:`Queue` will result in an :exc:`ImportError`. See :issue:`3770` for additional information. Th...
.. note:: This class's functionality requires a functioning shared semaphore implementation on the host operating system. Without one, the functionality in this class will be disabled, and attempts to instantiate a :class:`Queue` will result in an :exc:`ImportError`. See :issue:`3770` for additional information. Th...
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A process can be joined many times. A process cannot join itself because this would cause a deadlock. It is an error to attempt to join a process before it has been started.
trusted_official_docs
CPython Docs
A process can be joined many times. A process cannot join itself because this would cause a deadlock. It is an error to attempt to join a process before it has been started.
A process can be joined many times. A process cannot join itself because this would cause a deadlock. It is an error to attempt to join a process before it has been started.
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.. method:: get([block[, timeout]]) Remove and return an item from the queue. If optional args *block* is ``True`` (the default) and *timeout* is ``None`` (the default), block if necessary until an item is available. If *timeout* is a positive number, it blocks at most *timeout* seconds and raises the :exc:`queue.Em...
trusted_official_docs
CPython Docs
.. method:: get([block[, timeout]]) Remove and return an item from the queue. If optional args *block* is ``True`` (the default) and *timeout* is ``None`` (the default), block if necessary until an item is available. If *timeout* is a positive number, it blocks at most *timeout* seconds and raises the :exc:`queue.Em...
.. method:: get([block[, timeout]]) Remove and return an item from the queue. If optional args *block* is ``True`` (the default) and *timeout* is ``None`` (the default), block if necessary until an item is available. If *timeout* is a positive number, it blocks at most *timeout* seconds and raises the :exc:`queue.Em...
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.. method:: release() Release a lock, decrementing the recursion level. If after the decrement the recursion level is zero, reset the lock to unlocked (not owned by any process or thread) and if any other processes or threads are blocked waiting for the lock to become unlocked, allow exactly one of them to proceed....
trusted_official_docs
CPython Docs
.. method:: release() Release a lock, decrementing the recursion level. If after the decrement the recursion level is zero, reset the lock to unlocked (not owned by any process or thread) and if any other processes or threads are blocked waiting for the lock to become unlocked, allow exactly one of them to proceed....
.. method:: release() Release a lock, decrementing the recursion level. If after the decrement the recursion level is zero, reset the lock to unlocked (not owned by any process or thread) and if any other processes or threads are blocked waiting for the lock to become unlocked, allow exactly one of them to proceed....
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The same as :func:`RawArray` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes array. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`~multiprocessing.Lock` or :cl...
trusted_official_docs
CPython Docs
The same as :func:`RawArray` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes array. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`~multiprocessing.Lock` or :cl...
The same as :func:`RawArray` except that depending on the value of *lock* a process-safe synchronization wrapper may be returned instead of a raw ctypes array. If *lock* is ``True`` (the default) then a new lock object is created to synchronize access to the value. If *lock* is a :class:`~multiprocessing.Lock` or :cl...
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in the message. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end was closed. *buf* must be a writable :term:`bytes-like object`. If *offset* is given then the message will be written into the buffer from that position. Offset must be a non-negati...
trusted_official_docs
CPython Docs
in the message. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end was closed. *buf* must be a writable :term:`bytes-like object`. If *offset* is given then the message will be written into the buffer from that position. Offset must be a non-negati...
in the message. Blocks until there is something to receive. Raises :exc:`EOFError` if there is nothing left to receive and the other end was closed. *buf* must be a writable :term:`bytes-like object`. If *offset* is given then the message will be written into the buffer from that position. Offset must be a non-negati...
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if __name__ == '__main__': parent_conn, child_conn = Pipe() p = Process(target=f, args=(child_conn,)) p.start() print(parent_conn.recv()) # prints "[42, None, 'hello']" p.join() The two connection objects returned by :func:`Pipe` represent the two ends of the pipe. Each connection object has :meth:`~Connection.send` a...
trusted_official_docs
CPython Docs
if __name__ == '__main__': parent_conn, child_conn = Pipe() p = Process(target=f, args=(child_conn,)) p.start() print(parent_conn.recv()) # prints "[42, None, 'hello']" p.join() The two connection objects returned by :func:`Pipe` represent the two ends of the pipe. Each connection object has :meth:`~Connection.send` a...
if __name__ == '__main__': parent_conn, child_conn = Pipe() p = Process(target=f, args=(child_conn,)) p.start() print(parent_conn.recv()) # prints "[42, None, 'hello']" p.join() The two connection objects returned by :func:`Pipe` represent the two ends of the pipe. Each connection object has :meth:`~Connection.send` a...
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Returns a pair ``(conn1, conn2)`` of :class:`~multiprocessing.connection.Connection` objects representing the ends of a pipe. If *duplex* is ``True`` (the default) then the pipe is bidirectional. If *duplex* is ``False`` then the pipe is unidirectional: ``conn1`` can only be used for receiving messages and ``conn2`` ...
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CPython Docs
Returns a pair ``(conn1, conn2)`` of :class:`~multiprocessing.connection.Connection` objects representing the ends of a pipe. If *duplex* is ``True`` (the default) then the pipe is bidirectional. If *duplex* is ``False`` then the pipe is unidirectional: ``conn1`` can only be used for receiving messages and ``conn2`` ...
Returns a pair ``(conn1, conn2)`` of :class:`~multiprocessing.connection.Connection` objects representing the ends of a pipe. If *duplex* is ``True`` (the default) then the pipe is bidirectional. If *duplex* is ``False`` then the pipe is unidirectional: ``conn1`` can only be used for receiving messages and ``conn2`` ...
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Receive a message, calculate the digest of the message using *authkey* as the key, and then send the digest back. If a welcome message is not received, then :exc:`~multiprocessing.AuthenticationError` is raised.
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CPython Docs
Receive a message, calculate the digest of the message using *authkey* as the key, and then send the digest back. If a welcome message is not received, then :exc:`~multiprocessing.AuthenticationError` is raised.
Receive a message, calculate the digest of the message using *authkey* as the key, and then send the digest back. If a welcome message is not received, then :exc:`~multiprocessing.AuthenticationError` is raised.
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[1, 4, 9] The :mod:`!multiprocessing` module also introduces APIs which do not have analogs in the :mod:`threading` module, like the ability to :meth:`terminate <Process.terminate>`, :meth:`interrupt <Process.interrupt>` or :meth:`kill <Process.kill>` a running process.
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CPython Docs
[1, 4, 9] The :mod:`!multiprocessing` module also introduces APIs which do not have analogs in the :mod:`threading` module, like the ability to :meth:`terminate <Process.terminate>`, :meth:`interrupt <Process.interrupt>` or :meth:`kill <Process.kill>` a running process.
[1, 4, 9] The :mod:`!multiprocessing` module also introduces APIs which do not have analogs in the :mod:`threading` module, like the ability to :meth:`terminate <Process.terminate>`, :meth:`interrupt <Process.interrupt>` or :meth:`kill <Process.kill>` a running process.
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it submits to the process pool as separate tasks. The (approximate) size of these chunks can be specified by setting *chunksize* to a positive integer. Note that it may cause high memory usage for very long iterables. Consider using :meth:`imap` or :meth:`imap_unordered` with explicit *chunksize* option for better ef...
trusted_official_docs
CPython Docs
it submits to the process pool as separate tasks. The (approximate) size of these chunks can be specified by setting *chunksize* to a positive integer. Note that it may cause high memory usage for very long iterables. Consider using :meth:`imap` or :meth:`imap_unordered` with explicit *chunksize* option for better ef...
it submits to the process pool as separate tasks. The (approximate) size of these chunks can be specified by setting *chunksize* to a positive integer. Note that it may cause high memory usage for very long iterables. Consider using :meth:`imap` or :meth:`imap_unordered` with explicit *chunksize* option for better ef...
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completes in the :meth:`shutdown` method. If the shutdown times out, the process is terminated. If terminating the process also times out, the process is killed. .. versionchanged:: 3.11 Added the *shutdown_timeout* parameter.
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CPython Docs
completes in the :meth:`shutdown` method. If the shutdown times out, the process is terminated. If terminating the process also times out, the process is killed. .. versionchanged:: 3.11 Added the *shutdown_timeout* parameter.
completes in the :meth:`shutdown` method. If the shutdown times out, the process is terminated. If terminating the process also times out, the process is killed. .. versionchanged:: 3.11 Added the *shutdown_timeout* parameter.
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is a context object, or ``None`` (use the current context). If ``None``, calling this may set the global start method. See :ref:`global-start-method` for more details. *shutdown_timeout* is a timeout in seconds used to wait until the process used by the manager completes in the :meth:`shutdown` method. If the shutdow...
trusted_official_docs
CPython Docs
is a context object, or ``None`` (use the current context). If ``None``, calling this may set the global start method. See :ref:`global-start-method` for more details. *shutdown_timeout* is a timeout in seconds used to wait until the process used by the manager completes in the :meth:`shutdown` method. If the shutdow...
is a context object, or ``None`` (use the current context). If ``None``, calling this may set the global start method. See :ref:`global-start-method` for more details. *shutdown_timeout* is a timeout in seconds used to wait until the process used by the manager completes in the :meth:`shutdown` method. If the shutdow...
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is not a key of this mapping or if the mapping is ``None`` then the object returned by the method will be copied by value. *create_method* determines whether a method should be created with name *typeid* which can be used to tell the server process to create a new shared object and return a proxy for it. By default i...
trusted_official_docs
CPython Docs
is not a key of this mapping or if the mapping is ``None`` then the object returned by the method will be copied by value. *create_method* determines whether a method should be created with name *typeid* which can be used to tell the server process to create a new shared object and return a proxy for it. By default i...
is not a key of this mapping or if the mapping is ``None`` then the object returned by the method will be copied by value. *create_method* determines whether a method should be created with name *typeid* which can be used to tell the server process to create a new shared object and return a proxy for it. By default i...
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# exiting the 'with'-block has stopped the pool print("Now the pool is closed and no longer available") Note that the methods of a pool should only ever be used by the process which created it.
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CPython Docs
# exiting the 'with'-block has stopped the pool print("Now the pool is closed and no longer available") Note that the methods of a pool should only ever be used by the process which created it.
# exiting the 'with'-block has stopped the pool print("Now the pool is closed and no longer available") Note that the methods of a pool should only ever be used by the process which created it.
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referent of a now contains referent of b >>> print(a, b) [<ListProxy object, typeid 'list' at ...>] [] >>> b.append('hello') >>> print(a[0], b) ['hello'] ['hello'] Similarly, dict and list proxies may be nested inside one another::
trusted_official_docs
CPython Docs
referent of a now contains referent of b >>> print(a, b) [<ListProxy object, typeid 'list' at ...>] [] >>> b.append('hello') >>> print(a[0], b) ['hello'] ['hello'] Similarly, dict and list proxies may be nested inside one another::
referent of a now contains referent of b >>> print(a, b) [<ListProxy object, typeid 'list' at ...>] [] >>> b.append('hello') >>> print(a[0], b) ['hello'] ['hello'] Similarly, dict and list proxies may be nested inside one another::
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4, 6) (c_short * 7)() RawArray(c_short, 7) RawArray('h', 7) (c_int * 3)(9, 2, 8) RawArray(c_int, (9, 2, 8)) RawArray('i', (9, 2, 8)) ==================== ========================== =========================== Below is an example where a number of ctypes objects are modified by a child process::
trusted_official_docs
CPython Docs
4, 6) (c_short * 7)() RawArray(c_short, 7) RawArray('h', 7) (c_int * 3)(9, 2, 8) RawArray(c_int, (9, 2, 8)) RawArray('i', (9, 2, 8)) ==================== ========================== =========================== Below is an example where a number of ctypes objects are modified by a child process::
4, 6) (c_short * 7)() RawArray(c_short, 7) RawArray('h', 7) (c_int * 3)(9, 2, 8) RawArray(c_int, (9, 2, 8)) RawArray('i', (9, 2, 8)) ==================== ========================== =========================== Below is an example where a number of ctypes objects are modified by a child process::
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Acquire a lock, blocking or non-blocking. With the *block* argument set to ``True`` (the default), the method call will block until the lock is in an unlocked state, then set it to locked and return ``True``. Note that the name of this first argument differs from that in :meth:`threading.Lock.acquire`.
trusted_official_docs
CPython Docs
Acquire a lock, blocking or non-blocking. With the *block* argument set to ``True`` (the default), the method call will block until the lock is in an unlocked state, then set it to locked and return ``True``. Note that the name of this first argument differs from that in :meth:`threading.Lock.acquire`.
Acquire a lock, blocking or non-blocking. With the *block* argument set to ``True`` (the default), the method call will block until the lock is in an unlocked state, then set it to locked and return ``True``. Note that the name of this first argument differs from that in :meth:`threading.Lock.acquire`.
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Global variables Bear in mind that if code run in a child process tries to access a global variable, then the value it sees (if any) may not be the same as the value in the parent process at the time that :meth:`Process.start <multiprocessing.Process.start>` was called.
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CPython Docs
Global variables Bear in mind that if code run in a child process tries to access a global variable, then the value it sees (if any) may not be the same as the value in the parent process at the time that :meth:`Process.start <multiprocessing.Process.start>` was called.
Global variables Bear in mind that if code run in a child process tries to access a global variable, then the value it sees (if any) may not be the same as the value in the parent process at the time that :meth:`Process.start <multiprocessing.Process.start>` was called.
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but should not cause any practical difficulties -- if they really bother you then you can instead use a queue created with a :ref:`manager <multiprocessing-managers>`. (1) After putting an object on an empty queue there may be an infinitesimal delay before the queue's :meth:`~Queue.empty` method returns :const:`False...
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but should not cause any practical difficulties -- if they really bother you then you can instead use a queue created with a :ref:`manager <multiprocessing-managers>`. (1) After putting an object on an empty queue there may be an infinitesimal delay before the queue's :meth:`~Queue.empty` method returns :const:`False...
but should not cause any practical difficulties -- if they really bother you then you can instead use a queue created with a :ref:`manager <multiprocessing-managers>`. (1) After putting an object on an empty queue there may be an infinitesimal delay before the queue's :meth:`~Queue.empty` method returns :const:`False...
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.. class:: Process(group=None, target=None, name=None, args=(), kwargs={}, \ *, daemon=None) Process objects represent activity that is run in a separate process. The :class:`Process` class has equivalents of all the methods of :class:`threading.Thread`.
trusted_official_docs
CPython Docs
.. class:: Process(group=None, target=None, name=None, args=(), kwargs={}, \ *, daemon=None) Process objects represent activity that is run in a separate process. The :class:`Process` class has equivalents of all the methods of :class:`threading.Thread`.
.. class:: Process(group=None, target=None, name=None, args=(), kwargs={}, \ *, daemon=None) Process objects represent activity that is run in a separate process. The :class:`Process` class has equivalents of all the methods of :class:`threading.Thread`.
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Once created one should call :meth:`start` or ``get_server().serve_forever()`` to ensure that the manager object refers to a started manager process. *address* is the address on which the manager process listens for new connections. If *address* is ``None`` then an arbitrary one is chosen.
trusted_official_docs
CPython Docs
Once created one should call :meth:`start` or ``get_server().serve_forever()`` to ensure that the manager object refers to a started manager process. *address* is the address on which the manager process listens for new connections. If *address* is ``None`` then an arbitrary one is chosen.
Once created one should call :meth:`start` or ``get_server().serve_forever()`` to ensure that the manager object refers to a started manager process. *address* is the address on which the manager process listens for new connections. If *address* is ``None`` then an arbitrary one is chosen.
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If the ``freeze_support()`` line is omitted then trying to run the frozen executable will raise :exc:`RuntimeError`. Calling ``freeze_support()`` has no effect when the start method is not *spawn*. In addition, if the module is being run normally by the Python interpreter (the program has not been frozen), then ``fre...
trusted_official_docs
CPython Docs
If the ``freeze_support()`` line is omitted then trying to run the frozen executable will raise :exc:`RuntimeError`. Calling ``freeze_support()`` has no effect when the start method is not *spawn*. In addition, if the module is being run normally by the Python interpreter (the program has not been frozen), then ``fre...
If the ``freeze_support()`` line is omitted then trying to run the frozen executable will raise :exc:`RuntimeError`. Calling ``freeze_support()`` has no effect when the start method is not *spawn*. In addition, if the module is being run normally by the Python interpreter (the program has not been frozen), then ``fre...
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.. method:: put(obj[, block[, timeout]]) Put obj into the queue. If the optional argument *block* is ``True`` (the default) and *timeout* is ``None`` (the default), block if necessary until a free slot is available. If *timeout* is a positive number, it blocks at most *timeout* seconds and raises the :exc:`queue.Ful...
trusted_official_docs
CPython Docs
.. method:: put(obj[, block[, timeout]]) Put obj into the queue. If the optional argument *block* is ``True`` (the default) and *timeout* is ``None`` (the default), block if necessary until a free slot is available. If *timeout* is a positive number, it blocks at most *timeout* seconds and raises the :exc:`queue.Ful...
.. method:: put(obj[, block[, timeout]]) Put obj into the queue. If the optional argument *block* is ``True`` (the default) and *timeout* is ``None`` (the default), block if necessary until a free slot is available. If *timeout* is a positive number, it blocks at most *timeout* seconds and raises the :exc:`queue.Ful...
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put into them using :mod:`pickle`. The object returned by the get method is a re-created object that does not share memory with the original object. Note that one can also create a shared queue by using a manager object -- see :ref:`multiprocessing-managers`.
trusted_official_docs
CPython Docs
put into them using :mod:`pickle`. The object returned by the get method is a re-created object that does not share memory with the original object. Note that one can also create a shared queue by using a manager object -- see :ref:`multiprocessing-managers`.
put into them using :mod:`pickle`. The object returned by the get method is a re-created object that does not share memory with the original object. Note that one can also create a shared queue by using a manager object -- see :ref:`multiprocessing-managers`.
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.. warning:: If this method is used when the associated process is using a pipe or queue then the pipe or queue is liable to become corrupted and may become unusable by other process. Similarly, if the process has acquired a lock or semaphore etc. then terminating it is liable to cause other processes to deadlock.
trusted_official_docs
CPython Docs
.. warning:: If this method is used when the associated process is using a pipe or queue then the pipe or queue is liable to become corrupted and may become unusable by other process. Similarly, if the process has acquired a lock or semaphore etc. then terminating it is liable to cause other processes to deadlock.
.. warning:: If this method is used when the associated process is using a pipe or queue then the pipe or queue is liable to become corrupted and may become unusable by other process. Similarly, if the process has acquired a lock or semaphore etc. then terminating it is liable to cause other processes to deadlock.
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.. warning:: If a process is killed using :meth:`Process.terminate` or :func:`os.kill` while it is trying to use a :class:`Queue`, then the data in the queue is likely to become corrupted. This may cause any other process to get an exception when it tries to use the queue later on.
trusted_official_docs
CPython Docs
.. warning:: If a process is killed using :meth:`Process.terminate` or :func:`os.kill` while it is trying to use a :class:`Queue`, then the data in the queue is likely to become corrupted. This may cause any other process to get an exception when it tries to use the queue later on.
.. warning:: If a process is killed using :meth:`Process.terminate` or :func:`os.kill` while it is trying to use a :class:`Queue`, then the data in the queue is likely to become corrupted. This may cause any other process to get an exception when it tries to use the queue later on.
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:func:`set_start_method` should not be used more than once in the program. Alternatively, you can use :func:`get_context` to obtain a context object. Context objects have the same API as the multiprocessing module, and allow one to use multiple start methods in the same program. ::
trusted_official_docs
CPython Docs
:func:`set_start_method` should not be used more than once in the program. Alternatively, you can use :func:`get_context` to obtain a context object. Context objects have the same API as the multiprocessing module, and allow one to use multiple start methods in the same program. ::
:func:`set_start_method` should not be used more than once in the program. Alternatively, you can use :func:`get_context` to obtain a context object. Context objects have the same API as the multiprocessing module, and allow one to use multiple start methods in the same program. ::
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If *maxlength* is specified and the message is longer than *maxlength* then :exc:`OSError` is raised and the connection will no longer be readable. .. versionchanged:: 3.3 This function used to raise :exc:`IOError`, which is now an alias of :exc:`OSError`.
trusted_official_docs
CPython Docs
If *maxlength* is specified and the message is longer than *maxlength* then :exc:`OSError` is raised and the connection will no longer be readable. .. versionchanged:: 3.3 This function used to raise :exc:`IOError`, which is now an alias of :exc:`OSError`.
If *maxlength* is specified and the message is longer than *maxlength* then :exc:`OSError` is raised and the connection will no longer be readable. .. versionchanged:: 3.3 This function used to raise :exc:`IOError`, which is now an alias of :exc:`OSError`.
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Customized managers """"""""""""""""""" To create one's own manager, one creates a subclass of :class:`BaseManager` and uses the :meth:`~BaseManager.register` classmethod to register new types or callables with the manager class. For example::
trusted_official_docs
CPython Docs
Customized managers """"""""""""""""""" To create one's own manager, one creates a subclass of :class:`BaseManager` and uses the :meth:`~BaseManager.register` classmethod to register new types or callables with the manager class. For example::
Customized managers """"""""""""""""""" To create one's own manager, one creates a subclass of :class:`BaseManager` and uses the :meth:`~BaseManager.register` classmethod to register new types or callables with the manager class. For example::
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*address* is the address on which the manager process listens for new connections. If *address* is ``None`` then an arbitrary one is chosen. *authkey* is the authentication key which will be used to check the validity of incoming connections to the server process. If *authkey* is ``None`` then ``current_process().aut...
trusted_official_docs
CPython Docs
*address* is the address on which the manager process listens for new connections. If *address* is ``None`` then an arbitrary one is chosen. *authkey* is the authentication key which will be used to check the validity of incoming connections to the server process. If *authkey* is ``None`` then ``current_process().aut...
*address* is the address on which the manager process listens for new connections. If *address* is ``None`` then an arbitrary one is chosen. *authkey* is the authentication key which will be used to check the validity of incoming connections to the server process. If *authkey* is ``None`` then ``current_process().aut...
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