Doc/library/threading.rst
!threading --- Thread-based parallelism.. module:: threading :synopsis: Thread-based parallelism.
Source code: :source:Lib/threading.py
This module constructs higher-level threading interfaces on top of the lower
level :mod:_thread module.
.. include:: ../includes/wasm-notavail.rst
The :mod:!threading module provides a way to run multiple threads <https://en.wikipedia.org/wiki/Thread_(computing)>_ (smaller
units of a process) concurrently within a single process. It allows for the
creation and management of threads, making it possible to execute tasks in
parallel, sharing memory space. Threads are particularly useful when tasks are
I/O bound, such as file operations or making network requests,
where much of the time is spent waiting for external resources.
A typical use case for :mod:!threading includes managing a pool of worker
threads that can process multiple tasks concurrently. Here's a basic example of
creating and starting threads using :class:~threading.Thread::
import threading import time
def crawl(link, delay=3): print(f"crawl started for {link}") time.sleep(delay) # Blocking I/O (simulating a network request) print(f"crawl ended for {link}")
links = [ "https://python.org", "https://docs.python.org", "https://peps.python.org", ]
threads = []
for link in links:
# Using args to pass positional arguments and kwargs for keyword arguments
t = threading.Thread(target=crawl, args=(link,), kwargs={"delay": 2})
threads.append(t)
for t in threads: t.start()
for t in threads: t.join()
.. versionchanged:: 3.7 This module used to be optional, it is now always available.
.. seealso::
:class:concurrent.futures.ThreadPoolExecutor offers a higher level interface
to push tasks to a background thread without blocking execution of the
calling thread, while still being able to retrieve their results when needed.
:mod:queue provides a thread-safe interface for exchanging data between
running threads.
:mod:asyncio offers an alternative approach to achieving task level
concurrency without requiring the use of multiple operating system threads.
.. note::
In the Python 2.x series, this module contained camelCase names
for some methods and functions. These are deprecated as of Python 3.10,
but they are still supported for compatibility with Python 2.5 and lower.
.. impl-detail::
In CPython, due to the :term:Global Interpreter Lock <global interpreter lock>, only one thread
can execute Python code at once (even though certain performance-oriented
libraries might overcome this limitation).
If you want your application to make better use of the computational
resources of multi-core machines, you are advised to use
:mod:multiprocessing or :class:concurrent.futures.ProcessPoolExecutor.
However, threading is still an appropriate model if you want to run
multiple I/O-bound tasks simultaneously.
Unlike the :mod:multiprocessing module, which uses separate processes to
bypass the :term:global interpreter lock (GIL), the threading module operates
within a single process, meaning that all threads share the same memory space.
However, the GIL limits the performance gains of threading when it comes to
CPU-bound tasks, as only one thread can execute Python bytecode at a time.
Despite this, threads remain a useful tool for achieving concurrency in many
scenarios.
As of Python 3.13, :term:free-threaded <free threading> builds
can disable the GIL, enabling true parallel execution of threads, but this
feature is not available by default (see :pep:703).
.. TODO: At some point this feature will become available by default.
This module defines the following functions:
.. function:: active_count()
Return the number of :class:Thread objects currently alive. The returned
count is equal to the length of the list returned by :func:.enumerate.
The function activeCount is a deprecated alias for this function.
.. function:: current_thread()
Return the current :class:Thread object, corresponding to the caller's thread
of control. If the caller's thread of control was not created through the
:mod:!threading module, a dummy thread object with limited functionality is
returned.
The function currentThread is a deprecated alias for this function.
.. function:: excepthook(args, /)
Handle uncaught exception raised by :func:Thread.run.
The args argument has the following attributes:
None.None.None.If exc_type is :exc:SystemExit, the exception is silently ignored.
Otherwise, the exception is printed out on :data:sys.stderr.
If this function raises an exception, :func:sys.excepthook is called to
handle it.
:func:threading.excepthook can be overridden to control how uncaught
exceptions raised by :func:Thread.run are handled.
Storing exc_value using a custom hook can create a reference cycle. It should be cleared explicitly to break the reference cycle when the exception is no longer needed.
Storing thread using a custom hook can resurrect it if it is set to an object which is being finalized. Avoid storing thread after the custom hook completes to avoid resurrecting objects.
.. seealso::
:func:sys.excepthook handles uncaught exceptions.
.. versionadded:: 3.8
.. data:: excepthook
Holds the original value of :func:threading.excepthook. It is saved so that the
original value can be restored in case they happen to get replaced with
broken or alternative objects.
.. versionadded:: 3.10
.. function:: get_ident()
Return the 'thread identifier' of the current thread. This is a nonzero integer. Its value has no direct meaning; it is intended as a magic cookie to be used e.g. to index a dictionary of thread-specific data. Thread identifiers may be recycled when a thread exits and another thread is created.
.. versionadded:: 3.3
.. function:: get_native_id()
Return the native integral Thread ID of the current thread assigned by the kernel. This is a non-negative integer. Its value may be used to uniquely identify this particular thread system-wide (until the thread terminates, after which the value may be recycled by the OS).
.. availability:: Windows, FreeBSD, Linux, macOS, OpenBSD, NetBSD, AIX, DragonFlyBSD, GNU/kFreeBSD, Solaris.
.. versionadded:: 3.8
.. versionchanged:: 3.13 Added support for GNU/kFreeBSD.
.. versionchanged:: 3.15 Added support for Solaris.
.. function:: enumerate()
Return a list of all :class:Thread objects currently active. The list
includes daemonic threads and dummy thread objects created by
:func:current_thread. It excludes terminated threads and threads
that have not yet been started. However, the main thread is always part
of the result, even when terminated.
.. function:: main_thread()
Return the main :class:Thread object. In normal conditions, the
main thread is the thread from which the Python interpreter was
started.
.. versionadded:: 3.4
.. function:: settrace(func)
.. index:: single: trace function
Set a trace function for all threads started from the :mod:!threading module.
The func will be passed to :func:sys.settrace for each thread, before its
:meth:~Thread.run method is called.
.. function:: settrace_all_threads(func)
Set a trace function for all threads started from the :mod:!threading module
and all Python threads that are currently executing.
The func will be passed to :func:sys.settrace for each thread, before its
:meth:~Thread.run method is called.
.. versionadded:: 3.12
.. function:: gettrace()
.. index:: single: trace function single: debugger
Get the trace function as set by :func:settrace.
.. versionadded:: 3.10
.. function:: setprofile(func)
.. index:: single: profile function
Set a profile function for all threads started from the :mod:!threading module.
The func will be passed to :func:sys.setprofile for each thread, before its
:meth:~Thread.run method is called.
.. function:: setprofile_all_threads(func)
Set a profile function for all threads started from the :mod:!threading module
and all Python threads that are currently executing.
The func will be passed to :func:sys.setprofile for each thread, before its
:meth:~Thread.run method is called.
.. versionadded:: 3.12
.. function:: getprofile()
.. index:: single: profile function
Get the profiler function as set by :func:setprofile.
.. versionadded:: 3.10
.. function:: stack_size([size])
Return the thread stack size used when creating new threads. The optional
size argument specifies the stack size to be used for subsequently created
threads, and must be 0 (use platform or configured default) or a positive
integer value of at least 32,768 (32 KiB). If size is not specified,
0 is used. If changing the thread stack size is
unsupported, a :exc:RuntimeError is raised. If the specified stack size is
invalid, a :exc:ValueError is raised and the stack size is unmodified. 32 KiB
is currently the minimum supported stack size value to guarantee sufficient
stack space for the interpreter itself. Note that some platforms may have
particular restrictions on values for the stack size, such as requiring a
minimum stack size > 32 KiB or requiring allocation in multiples of the system
memory page size - platform documentation should be referred to for more
information (4 KiB pages are common; using multiples of 4096 for the stack size is
the suggested approach in the absence of more specific information).
.. availability:: Windows, pthreads.
Unix platforms with POSIX threads support.
This module also defines the following constant:
.. data:: TIMEOUT_MAX
The maximum value allowed for the timeout parameter of blocking functions
(:meth:Lock.acquire, :meth:RLock.acquire, :meth:Condition.wait, etc.).
Specifying a timeout greater than this value will raise an
:exc:OverflowError.
.. versionadded:: 3.2
This module defines a number of classes, which are detailed in the sections below.
The design of this module is loosely based on Java's threading model. However,
where Java makes locks and condition variables basic behavior of every object,
they are separate objects in Python. Python's :class:Thread class supports a
subset of the behavior of Java's Thread class; currently, there are no
priorities, no thread groups, and threads cannot be destroyed, stopped,
suspended, resumed, or interrupted. The static methods of Java's Thread class,
when implemented, are mapped to module-level functions.
All of the methods described below are executed atomically.
Thread-local data ^^^^^^^^^^^^^^^^^
Thread-local data is data whose values are thread specific. If you
have data that you want to be local to a thread, create a
:class:local object and use its attributes::
mydata = local() mydata.number = 42 mydata.number 42
You can also access the :class:local-object's dictionary::
mydata.dict {'number': 42} mydata.dict.setdefault('widgets', []) [] mydata.widgets []
If we access the data in a different thread::
log = [] def f(): ... items = sorted(mydata.dict.items()) ... log.append(items) ... mydata.number = 11 ... log.append(mydata.number)
import threading thread = threading.Thread(target=f) thread.start() thread.join() log [[], 11]
we get different data. Furthermore, changes made in the other thread don't affect data seen in this thread::
mydata.number 42
Of course, values you get from a :class:local object, including their
:attr:~object.__dict__ attribute, are for whatever thread was current
at the time the attribute was read. For that reason, you generally
don't want to save these values across threads, as they apply only to
the thread they came from.
You can create custom :class:local objects by subclassing the
:class:local class::
class MyLocal(local): ... number = 2 ... def init(self, /, **kw): ... self.dict.update(kw) ... def squared(self): ... return self.number ** 2
This can be useful to support default values, methods and
initialization. Note that if you define an :py:meth:~object.__init__
method, it will be called each time the :class:local object is used
in a separate thread. This is necessary to initialize each thread's
dictionary.
Now if we create a :class:local object::
mydata = MyLocal(color='red')
we have a default number::
mydata.number 2
an initial color::
mydata.color 'red' del mydata.color
And a method that operates on the data::
mydata.squared() 4
As before, we can access the data in a separate thread::
log = [] thread = threading.Thread(target=f) thread.start() thread.join() log [[('color', 'red')], 11]
without affecting this thread's data::
mydata.number 2 mydata.color Traceback (most recent call last): ... AttributeError: 'MyLocal' object has no attribute 'color'
Note that subclasses can define :term:__slots__, but they are not
thread local. They are shared across threads::
class MyLocal(local): ... slots = 'number'
mydata = MyLocal() mydata.number = 42 mydata.color = 'red'
So, the separate thread::
thread = threading.Thread(target=f) thread.start() thread.join()
affects what we see::
mydata.number 11
.. class:: local()
A class that represents thread-local data.
.. _thread-objects:
Thread objects ^^^^^^^^^^^^^^
The :class:Thread class represents an activity that is run in a separate
thread of control. There are two ways to specify the activity: by passing a
callable object to the constructor, or by overriding the :meth:~Thread.run
method in a subclass. No other methods (except for the constructor) should be
overridden in a subclass. In other words, only override the
__init__() and :meth:~Thread.run methods of this class.
Once a thread object is created, its activity must be started by calling the
thread's :meth:~Thread.start method. This invokes the :meth:~Thread.run
method in a separate thread of control.
Once the thread's activity is started, the thread is considered 'alive'. It
stops being alive when its :meth:~Thread.run method terminates -- either
normally, or by raising an unhandled exception. The :meth:~Thread.is_alive
method tests whether the thread is alive.
Other threads can call a thread's :meth:~Thread.join method. This blocks
the calling thread until the thread whose :meth:~Thread.join method is
called is terminated.
A thread has a name. The name can be passed to the constructor, and read or
changed through the :attr:~Thread.name attribute.
If the :meth:~Thread.run method raises an exception,
:func:threading.excepthook is called to handle it. By default,
:func:threading.excepthook ignores silently :exc:SystemExit.
A thread can be flagged as a "daemon thread". The significance of this flag is
that the entire Python program exits when only daemon threads are left. The
initial value is inherited from the creating thread. The flag can be set
through the :attr:~Thread.daemon property or the daemon constructor
argument.
.. note::
Daemon threads are abruptly stopped at shutdown. Their resources (such
as open files, database transactions, etc.) may not be released properly.
If you want your threads to stop gracefully, make them non-daemonic and
use a suitable signalling mechanism such as an :class:Event.
There is a "main thread" object; this corresponds to the initial thread of control in the Python program. It is not a daemon thread.
There is the possibility that "dummy thread objects" are created. These are
thread objects corresponding to "alien threads", which are threads of control
started outside the threading module, such as directly from C code. Dummy
thread objects have limited functionality; they are always considered alive and
daemonic, and cannot be :ref:joined <meth-thread-join>. They are never deleted,
since it is impossible to detect the termination of alien threads.
.. class:: Thread(group=None, target=None, name=None, args=(), kwargs={}, *,
daemon=None, context=None)
This constructor should always be called with keyword arguments. Arguments are:
group should be None; reserved for future extension when a
:class:!ThreadGroup class is implemented.
target is the callable object to be invoked by the :meth:run method.
Defaults to None, meaning nothing is called.
name is the thread name. By default, a unique name is constructed
of the form "Thread-N" where N is a small decimal number,
or "Thread-N (target)" where "target" is target.__name__ if the
target argument is specified.
args is a list or tuple of arguments for the target invocation. Defaults to ().
kwargs is a dictionary of keyword arguments for the target invocation.
Defaults to {}.
If not None, daemon explicitly sets whether the thread is daemonic.
If None (the default), the daemonic property is inherited from the
current thread.
context is the :class:~contextvars.Context value to use when starting
the thread. The default value is None which indicates that the
:data:sys.flags.thread_inherit_context flag controls the behaviour. If
the flag is true, threads will start with a copy of the context of the
caller of :meth:~Thread.start. If false, they will start with an empty
context. To explicitly start with an empty context, pass a new instance of
:class:~contextvars.Context(). To explicitly start with a copy of the
current context, pass the value from :func:~contextvars.copy_context. The
flag defaults true on free-threaded builds and false otherwise.
If the subclass overrides the constructor, it must make sure to invoke the
base class constructor (Thread.__init__()) before doing anything else to
the thread.
.. versionchanged:: 3.3 Added the daemon parameter.
.. versionchanged:: 3.10 Use the target name if name argument is omitted.
.. versionchanged:: 3.14 Added the context parameter.
.. method:: start()
Start the thread's activity.
It must be called at most once per thread object. It arranges for the
object's :meth:`~Thread.run` method to be invoked in a separate thread
of control.
This method will raise a :exc:`RuntimeError` if called more than once
on the same thread object.
If supported, set the operating system thread name to
:attr:`threading.Thread.name`. The name can be truncated depending on the
operating system thread name limits.
.. versionchanged:: 3.14
Set the operating system thread name.
.. method:: run()
Method representing the thread's activity.
You may override this method in a subclass. The standard :meth:`run`
method invokes the callable object passed to the object's constructor as
the *target* argument, if any, with positional and keyword arguments taken
from the *args* and *kwargs* arguments, respectively.
Using list or tuple as the *args* argument which passed to the :class:`Thread`
could achieve the same effect.
Example::
>>> from threading import Thread
>>> t = Thread(target=print, args=[1])
>>> t.run()
1
>>> t = Thread(target=print, args=(1,))
>>> t.run()
1
.. _meth-thread-join:
.. method:: join(timeout=None)
Wait until the thread terminates. This blocks the calling thread until
the thread whose :meth:`~Thread.join` method is called terminates -- either
normally or through an unhandled exception -- or until the optional
timeout occurs.
When the *timeout* argument is present and not ``None``, it should be a
real number specifying a timeout for the operation in seconds
(or fractions thereof). As :meth:`~Thread.join` always returns ``None``,
you must call :meth:`~Thread.is_alive` after :meth:`~Thread.join` to
decide whether a timeout happened -- if the thread is still alive, the
:meth:`~Thread.join` call timed out.
When the *timeout* argument is not present or ``None``, the operation will
block until the thread terminates.
A thread can be joined many times.
:meth:`~Thread.join` raises a :exc:`RuntimeError` if an attempt is made
to join the current thread as that would cause a deadlock. It is also
an error to :meth:`~Thread.join` a thread before it has been started
and attempts to do so raise the same exception.
If an attempt is made to join a running daemonic thread in late stages
of :term:`Python finalization <interpreter shutdown>` :meth:`!join`
raises a :exc:`PythonFinalizationError`.
.. versionchanged:: 3.14
May raise :exc:`PythonFinalizationError`.
.. versionchanged:: 3.15
Accepts any real number as *timeout*, not only integer or float.
.. attribute:: name
A string used for identification purposes only. It has no semantics.
Multiple threads may be given the same name. The initial name is set by
the constructor.
On some platforms, the thread name is set at the operating system level
when the thread starts, so that it is visible in task managers.
This name may be truncated to fit in a system-specific limit (for example,
15 bytes on Linux or 63 bytes on macOS).
Changes to *name* are only reflected at the OS level when the currently
running thread is renamed. (Setting the *name* attribute of a
different thread only updates the Python Thread object.)
.. method:: getName() setName()
Deprecated getter/setter API for :attr:`~Thread.name`; use it directly as a
property instead.
.. deprecated:: 3.10
.. attribute:: ident
The 'thread identifier' of this thread or ``None`` if the thread has not
been started. This is a nonzero integer. See the :func:`get_ident`
function. Thread identifiers may be recycled when a thread exits and
another thread is created. The identifier is available even after the
thread has exited.
.. attribute:: native_id
The Thread ID (``TID``) of this thread, as assigned by the OS (kernel).
This is a non-negative integer, or ``None`` if the thread has not
been started. See the :func:`get_native_id` function.
This value may be used to uniquely identify this particular thread
system-wide (until the thread terminates, after which the value
may be recycled by the OS).
.. note::
Similar to Process IDs, Thread IDs are only valid (guaranteed unique
system-wide) from the time the thread is created until the thread
has been terminated.
.. availability:: Windows, FreeBSD, Linux, macOS, OpenBSD, NetBSD, AIX, DragonFlyBSD.
.. versionadded:: 3.8
.. method:: is_alive()
Return whether the thread is alive.
This method returns ``True`` just before the :meth:`~Thread.run` method
starts until just after the :meth:`~Thread.run` method terminates. The
module function :func:`.enumerate` returns a list of all alive threads.
.. attribute:: daemon
A boolean value indicating whether this thread is a daemon thread (``True``)
or not (``False``). This must be set before :meth:`~Thread.start` is called,
otherwise :exc:`RuntimeError` is raised. Its initial value is inherited
from the creating thread; the main thread is not a daemon thread and
therefore all threads created in the main thread default to
:attr:`~Thread.daemon` = ``False``.
The entire Python program exits when no alive non-daemon threads are left.
.. method:: isDaemon() setDaemon()
Deprecated getter/setter API for :attr:`~Thread.daemon`; use it directly as a
property instead.
.. deprecated:: 3.10
.. _lock-objects:
Lock objects ^^^^^^^^^^^^
A primitive lock is a synchronization primitive that is not owned by a
particular thread when locked. In Python, it is currently the lowest level
synchronization primitive available, implemented directly by the :mod:_thread
extension module.
A primitive lock is in one of two states, "locked" or "unlocked". It is created
in the unlocked state. It has two basic methods, :meth:~Lock.acquire and
:meth:~Lock.release. When the state is unlocked, :meth:~Lock.acquire
changes the state to locked and returns immediately. When the state is locked,
:meth:~Lock.acquire blocks until a call to :meth:~Lock.release in another
thread changes it to unlocked, then the :meth:~Lock.acquire call resets it
to locked and returns. The :meth:~Lock.release method should only be
called in the locked state; it changes the state to unlocked and returns
immediately. If an attempt is made to release an unlocked lock, a
:exc:RuntimeError will be raised.
Locks also support the :ref:context management protocol <with-locks>.
When more than one thread is blocked in :meth:~Lock.acquire waiting for the
state to turn to unlocked, only one thread proceeds when a :meth:~Lock.release
call resets the state to unlocked; which one of the waiting threads proceeds
is not defined, and may vary across implementations.
All methods are executed atomically.
.. class:: Lock()
The class implementing primitive lock objects. Once a thread has acquired a lock, subsequent attempts to acquire it block, until it is released; any thread may release it.
.. versionchanged:: 3.13
Lock is now a class. In earlier Pythons, Lock was a factory
function which returned an instance of the underlying private lock
type.
.. method:: acquire(blocking=True, timeout=-1)
Acquire a lock, blocking or non-blocking.
When invoked with the *blocking* argument set to ``True`` (the default),
block until the lock is unlocked, then set it to locked and return ``True``.
When invoked with the *blocking* argument set to ``False``, do not block.
If a call with *blocking* set to ``True`` would block, return ``False``
immediately; otherwise, set the lock to locked and return ``True``.
When invoked with the *timeout* argument set to a positive
value, block for at most the number of seconds specified by *timeout*
and as long as the lock cannot be acquired. A *timeout* argument of ``-1``
specifies an unbounded wait. It is forbidden to specify a *timeout*
when *blocking* is ``False``.
The return value is ``True`` if the lock is acquired successfully,
``False`` if not (for example if the *timeout* expired).
.. versionchanged:: 3.2
The *timeout* parameter is new.
.. versionchanged:: 3.2
Lock acquisition can now be interrupted by signals on POSIX if the
underlying threading implementation supports it.
.. versionchanged:: 3.14
Lock acquisition can now be interrupted by signals on Windows.
.. versionchanged:: 3.15
Accepts any real number as *timeout*, not only integer or float.
.. method:: release()
Release a lock. This can be called from any thread, not only the thread
which has acquired the lock.
When the lock is locked, reset it to unlocked, and return. If any other threads
are blocked waiting for the lock to become unlocked, allow exactly one of them
to proceed.
When invoked on an unlocked lock, a :exc:`RuntimeError` is raised.
There is no return value.
.. method:: locked()
Return ``True`` if the lock is acquired.
.. _rlock-objects:
RLock objects ^^^^^^^^^^^^^
A reentrant lock is a synchronization primitive that may be acquired multiple times by the same thread. Internally, it uses the concepts of "owning thread" and "recursion level" in addition to the locked/unlocked state used by primitive locks. In the locked state, some thread owns the lock; in the unlocked state, no thread owns it.
Threads call a lock's :meth:~RLock.acquire method to lock it,
and its :meth:~Lock.release method to unlock it.
.. note::
Reentrant locks support the :ref:context management protocol <with-locks>,
so it is recommended to use :keyword:with instead of manually calling
:meth:~RLock.acquire and :meth:~RLock.release
to handle acquiring and releasing the lock for a block of code.
RLock's :meth:~RLock.acquire/:meth:~RLock.release call pairs may be nested,
unlike Lock's :meth:~Lock.acquire/:meth:~Lock.release. Only the final
:meth:~RLock.release (the :meth:~Lock.release of the outermost pair) resets
the lock to an unlocked state and allows another thread blocked in
:meth:~RLock.acquire to proceed.
:meth:~RLock.acquire/:meth:~RLock.release must be used in pairs: each acquire
must have a release in the thread that has acquired the lock. Failing to
call release as many times the lock has been acquired can lead to deadlock.
.. class:: RLock()
This class implements reentrant lock objects. A reentrant lock must be released by the thread that acquired it. Once a thread has acquired a reentrant lock, the same thread may acquire it again without blocking; the thread must release it once for each time it has acquired it.
Note that RLock is actually a factory function which returns an instance
of the most efficient version of the concrete RLock class that is supported
by the platform.
.. method:: acquire(blocking=True, timeout=-1)
Acquire a lock, blocking or non-blocking.
.. seealso::
:ref:`Using RLock as a context manager <with-locks>`
Recommended over manual :meth:`!acquire` and :meth:`release` calls
whenever practical.
When invoked with the *blocking* argument set to ``True`` (the default):
* If no thread owns the lock, acquire the lock and return immediately.
* If another thread owns the lock, block until we are able to acquire
lock, or *timeout*, if set to a positive value.
* If the same thread owns the lock, acquire the lock again, and
return immediately. This is the difference between :class:`Lock` and
:class:`!RLock`; :class:`Lock` handles this case the same as the previous,
blocking until the lock can be acquired.
When invoked with the *blocking* argument set to ``False``:
* If no thread owns the lock, acquire the lock and return immediately.
* If another thread owns the lock, return immediately.
* If the same thread owns the lock, acquire the lock again and return
immediately.
In all cases, if the thread was able to acquire the lock, return ``True``.
If the thread was unable to acquire the lock (i.e. if not blocking or
the timeout was reached) return ``False``.
If called multiple times, failing to call :meth:`~RLock.release` as many times
may lead to deadlock. Consider using :class:`!RLock` as a context manager rather than
calling acquire/release directly.
.. versionchanged:: 3.2
The *timeout* parameter is new.
.. versionchanged:: 3.15
Accepts any real number as *timeout*, not only integer or float.
.. method:: release()
Release a lock, decrementing the recursion level. If after the decrement it is
zero, reset the lock to unlocked (not owned by any thread), and if any other
threads are blocked waiting for the lock to become unlocked, allow exactly one
of them to proceed. If after the decrement the recursion level is still
nonzero, the lock remains locked and owned by the calling thread.
Only call this method when the calling thread owns the lock. A
:exc:`RuntimeError` is raised if this method is called when the lock is
not acquired.
There is no return value.
.. method:: locked()
Return a boolean indicating whether this object is locked right now.
.. versionadded:: 3.14
.. _condition-objects:
Condition objects ^^^^^^^^^^^^^^^^^
A condition variable is always associated with some kind of lock; this can be passed in or one will be created by default. Passing one in is useful when several condition variables must share the same lock. The lock is part of the condition object: you don't have to track it separately.
A condition variable obeys the :ref:context management protocol <with-locks>:
using the with statement acquires the associated lock for the duration of
the enclosed block. The :meth:~Condition.acquire and
:meth:~Condition.release methods also call the corresponding methods of
the associated lock.
Other methods must be called with the associated lock held. The
:meth:~Condition.wait method releases the lock, and then blocks until
another thread awakens it by calling :meth:~Condition.notify or
:meth:~Condition.notify_all. Once awakened, :meth:~Condition.wait
re-acquires the lock and returns. It is also possible to specify a timeout.
The :meth:~Condition.notify method wakes up one of the threads waiting for
the condition variable, if any are waiting. The :meth:~Condition.notify_all
method wakes up all threads waiting for the condition variable.
Note: the :meth:~Condition.notify and :meth:~Condition.notify_all methods
don't release the lock; this means that the thread or threads awakened will
not return from their :meth:~Condition.wait call immediately, but only when
the thread that called :meth:~Condition.notify or :meth:~Condition.notify_all
finally relinquishes ownership of the lock.
The typical programming style using condition variables uses the lock to
synchronize access to some shared state; threads that are interested in a
particular change of state call :meth:~Condition.wait repeatedly until they
see the desired state, while threads that modify the state call
:meth:~Condition.notify or :meth:~Condition.notify_all when they change
the state in such a way that it could possibly be a desired state for one
of the waiters. For example, the following code is a generic
producer-consumer situation with unlimited buffer capacity::
with cv: while not an_item_is_available(): cv.wait() get_an_available_item()
with cv: make_an_item_available() cv.notify()
The while loop checking for the application's condition is necessary
because :meth:~Condition.wait can return after an arbitrary long time,
and the condition which prompted the :meth:~Condition.notify call may
no longer hold true. This is inherent to multi-threaded programming. The
:meth:~Condition.wait_for method can be used to automate the condition
checking, and eases the computation of timeouts::
with cv: cv.wait_for(an_item_is_available) get_an_available_item()
To choose between :meth:~Condition.notify and :meth:~Condition.notify_all,
consider whether one state change can be interesting for only one or several
waiting threads. E.g. in a typical producer-consumer situation, adding one
item to the buffer only needs to wake up one consumer thread.
.. class:: Condition(lock=None)
This class implements condition variable objects. A condition variable allows one or more threads to wait until they are notified by another thread.
If the lock argument is given and not None, it must be a :class:Lock
or :class:RLock object, and it is used as the underlying lock. Otherwise,
a new :class:RLock object is created and used as the underlying lock.
.. versionchanged:: 3.3 changed from a factory function to a class.
.. method:: acquire(*args)
Acquire the underlying lock. This method calls the corresponding method on
the underlying lock; the return value is whatever that method returns.
.. method:: release()
Release the underlying lock. This method calls the corresponding method on
the underlying lock; there is no return value.
.. method:: locked()
Return a boolean indicating whether this object is locked right now.
.. versionadded:: 3.14
.. method:: wait(timeout=None)
Wait until notified or until a timeout occurs. If the calling thread has
not acquired the lock when this method is called, a :exc:`RuntimeError` is
raised.
This method releases the underlying lock, and then blocks until it is
awakened by a :meth:`notify` or :meth:`notify_all` call for the same
condition variable in another thread, or until the optional timeout
occurs. Once awakened or timed out, it re-acquires the lock and returns.
When the *timeout* argument is present and not ``None``, it should be a
real number specifying a timeout for the operation in seconds
(or fractions thereof).
When the underlying lock is an :class:`RLock`, it is not released using
its :meth:`release` method, since this may not actually unlock the lock
when it was acquired multiple times recursively. Instead, an internal
interface of the :class:`RLock` class is used, which really unlocks it
even when it has been recursively acquired several times. Another internal
interface is then used to restore the recursion level when the lock is
reacquired.
The return value is ``True`` unless a given *timeout* expired, in which
case it is ``False``.
.. versionchanged:: 3.2
Previously, the method always returned ``None``.
.. method:: wait_for(predicate, timeout=None)
Wait until a condition evaluates to true. *predicate* should be a
callable which result will be interpreted as a boolean value.
A *timeout* may be provided giving the maximum time to wait.
This utility method may call :meth:`wait` repeatedly until the predicate
is satisfied, or until a timeout occurs. The return value is
the last return value of the predicate and will evaluate to
``False`` if the method timed out.
Ignoring the timeout feature, calling this method is roughly equivalent to
writing::
while not predicate():
cv.wait()
Therefore, the same rules apply as with :meth:`wait`: The lock must be
held when called and is re-acquired on return. The predicate is evaluated
with the lock held.
.. versionadded:: 3.2
.. method:: notify(n=1)
By default, wake up one thread waiting on this condition, if any. If the
calling thread has not acquired the lock when this method is called, a
:exc:`RuntimeError` is raised.
This method wakes up at most *n* of the threads waiting for the condition
variable; it is a no-op if no threads are waiting.
The current implementation wakes up exactly *n* threads, if at least *n*
threads are waiting. However, it's not safe to rely on this behavior.
A future, optimized implementation may occasionally wake up more than
*n* threads.
Note: an awakened thread does not actually return from its :meth:`wait`
call until it can reacquire the lock. Since :meth:`notify` does not
release the lock, its caller should.
.. method:: notify_all()
Wake up all threads waiting on this condition. This method acts like
:meth:`notify`, but wakes up all waiting threads instead of one. If the
calling thread has not acquired the lock when this method is called, a
:exc:`RuntimeError` is raised.
The method ``notifyAll`` is a deprecated alias for this method.
.. _semaphore-objects:
Semaphore objects ^^^^^^^^^^^^^^^^^
This is one of the oldest synchronization primitives in the history of computer
science, invented by the early Dutch computer scientist Edsger W. Dijkstra (he
used the names P() and V() instead of :meth:~Semaphore.acquire and
:meth:~Semaphore.release).
A semaphore manages an internal counter which is decremented by each
:meth:~Semaphore.acquire call and incremented by each :meth:~Semaphore.release
call. The counter can never go below zero; when :meth:~Semaphore.acquire
finds that it is zero, it blocks, waiting until some other thread calls
:meth:~Semaphore.release.
Semaphores also support the :ref:context management protocol <with-locks>.
.. class:: Semaphore(value=1)
This class implements semaphore objects. A semaphore manages an atomic
counter representing the number of :meth:release calls minus the number of
:meth:acquire calls, plus an initial value. The :meth:acquire method
blocks if necessary until it can return without making the counter negative.
If not given, value defaults to 1.
The optional argument gives the initial value for the internal counter; it
defaults to 1. If the value given is less than 0, :exc:ValueError is
raised.
.. versionchanged:: 3.3 changed from a factory function to a class.
.. method:: acquire(blocking=True, timeout=None)
Acquire a semaphore.
When invoked without arguments:
* If the internal counter is larger than zero on entry, decrement it by
one and return ``True`` immediately.
* If the internal counter is zero on entry, block until awoken by a call to
:meth:`~Semaphore.release`. Once awoken (and the counter is greater
than 0), decrement the counter by 1 and return ``True``. Exactly one
thread will be awoken by each call to :meth:`~Semaphore.release`. The
order in which threads are awoken should not be relied on.
When invoked with *blocking* set to ``False``, do not block. If a call
without an argument would block, return ``False`` immediately; otherwise, do
the same thing as when called without arguments, and return ``True``.
When invoked with a *timeout* other than ``None``, it will block for at
most *timeout* seconds. If acquire does not complete successfully in
that interval, return ``False``. Return ``True`` otherwise.
.. versionchanged:: 3.2
The *timeout* parameter is new.
.. versionchanged:: 3.15
Accepts any real number as *timeout*, not only integer or float.
.. method:: release(n=1)
Release a semaphore, incrementing the internal counter by *n*. When it
was zero on entry and other threads are waiting for it to become larger
than zero again, wake up *n* of those threads.
.. versionchanged:: 3.9
Added the *n* parameter to release multiple waiting threads at once.
.. class:: BoundedSemaphore(value=1)
Class implementing bounded semaphore objects. A bounded semaphore checks to
make sure its current value doesn't exceed its initial value. If it does,
:exc:ValueError is raised. In most situations semaphores are used to guard
resources with limited capacity. If the semaphore is released too many times
it's a sign of a bug. If not given, value defaults to 1.
.. versionchanged:: 3.3 changed from a factory function to a class.
.. _semaphore-examples:
:class:Semaphore example
^^^^^^^^^^^^^^^^^^^^^^^^^^
Semaphores are often used to guard resources with limited capacity, for example, a database server. In any situation where the size of the resource is fixed, you should use a bounded semaphore. Before spawning any worker threads, your main thread would initialize the semaphore::
maxconnections = 5
pool_sema = BoundedSemaphore(value=maxconnections)
Once spawned, worker threads call the semaphore's acquire and release methods when they need to connect to the server::
with pool_sema: conn = connectdb() try: # ... use connection ... finally: conn.close()
The use of a bounded semaphore reduces the chance that a programming error which causes the semaphore to be released more than it's acquired will go undetected.
.. _event-objects:
Event objects ^^^^^^^^^^^^^
This is one of the simplest mechanisms for communication between threads: one thread signals an event and other threads wait for it.
An event object manages an internal flag that can be set to true with the
:meth:~Event.set method and reset to false with the :meth:~Event.clear
method. The :meth:~Event.wait method blocks until the flag is true.
.. class:: Event()
Class implementing event objects. An event manages a flag that can be set to
true with the :meth:~Event.set method and reset to false with the
:meth:clear method. The :meth:wait method blocks until the flag is true.
The flag is initially false.
.. versionchanged:: 3.3 changed from a factory function to a class.
.. method:: is_set()
Return ``True`` if and only if the internal flag is true.
The method ``isSet`` is a deprecated alias for this method.
.. method:: set()
Set the internal flag to true. All threads waiting for it to become true
are awakened. Threads that call :meth:`wait` once the flag is true will
not block at all.
.. method:: clear()
Reset the internal flag to false. Subsequently, threads calling
:meth:`wait` will block until :meth:`.set` is called to set the internal
flag to true again.
.. method:: wait(timeout=None)
Block as long as the internal flag is false and the timeout, if given,
has not expired. The return value represents the
reason that this blocking method returned; ``True`` if returning because
the internal flag is set to true, or ``False`` if a timeout is given and
the internal flag did not become true within the given wait time.
When the timeout argument is present and not ``None``, it should be a
real number specifying a timeout for the operation in seconds,
or fractions thereof.
.. versionchanged:: 3.1
Previously, the method always returned ``None``.
.. _timer-objects:
Timer objects ^^^^^^^^^^^^^
This class represents an action that should be run only after a certain amount
of time has passed --- a timer. :class:Timer is a subclass of :class:Thread
and as such also functions as an example of creating custom threads.
Timers are started, as with threads, by calling their :meth:Timer.start <Thread.start>
method. The timer can be stopped (before its action has begun) by calling the
:meth:~Timer.cancel method. The interval the timer will wait before
executing its action may not be exactly the same as the interval specified by
the user.
For example::
def hello(): print("hello, world")
t = Timer(30.0, hello) t.start() # after 30 seconds, "hello, world" will be printed
.. class:: Timer(interval, function, args=None, kwargs=None)
Create a timer that will run function with arguments args and keyword
arguments kwargs, after interval seconds have passed.
If args is None (the default) then an empty list will be used.
If kwargs is None (the default) then an empty dict will be used.
.. versionchanged:: 3.3 changed from a factory function to a class.
.. method:: cancel()
Stop the timer, and cancel the execution of the timer's action. This will
only work if the timer is still in its waiting stage.
Barrier objects ^^^^^^^^^^^^^^^
.. versionadded:: 3.2
This class provides a simple synchronization primitive for use by a fixed number
of threads that need to wait for each other. Each of the threads tries to pass
the barrier by calling the :meth:~Barrier.wait method and will block until
all of the threads have made their :meth:~Barrier.wait calls. At this point,
the threads are released simultaneously.
The barrier can be reused any number of times for the same number of threads.
As an example, here is a simple way to synchronize a client and server thread::
b = Barrier(2, timeout=5)
def server(): start_server() b.wait() while True: connection = accept_connection() process_server_connection(connection)
def client(): b.wait() while True: connection = make_connection() process_client_connection(connection)
.. class:: Barrier(parties, action=None, timeout=None)
Create a barrier object for parties number of threads. An action, when
provided, is a callable to be called by one of the threads when they are
released. timeout is the default timeout value if none is specified for
the :meth:wait method.
.. method:: wait(timeout=None)
Pass the barrier. When all the threads party to the barrier have called
this function, they are all released simultaneously. If a *timeout* is
provided, it is used in preference to any that was supplied to the class
constructor.
The return value is an integer in the range 0 to *parties* -- 1, different
for each thread. This can be used to select a thread to do some special
housekeeping, e.g.::
i = barrier.wait()
if i == 0:
# Only one thread needs to print this
print("passed the barrier")
If an *action* was provided to the constructor, one of the threads will
have called it prior to being released. Should this call raise an error,
the barrier is put into the broken state.
If the call times out, the barrier is put into the broken state.
This method may raise a :class:`BrokenBarrierError` exception if the
barrier is broken or reset while a thread is waiting.
.. method:: reset()
Return the barrier to the default, empty state. Any threads waiting on it
will receive the :class:`BrokenBarrierError` exception.
Note that using this function may require some external
synchronization if there are other threads whose state is unknown. If a
barrier is broken it may be better to just leave it and create a new one.
.. method:: abort()
Put the barrier into a broken state. This causes any active or future
calls to :meth:`wait` to fail with the :class:`BrokenBarrierError`. Use
this for example if one of the threads needs to abort, to avoid deadlocking the
application.
It may be preferable to simply create the barrier with a sensible
*timeout* value to automatically guard against one of the threads going
awry.
.. attribute:: parties
The number of threads required to pass the barrier.
.. attribute:: n_waiting
The number of threads currently waiting in the barrier.
.. attribute:: broken
A boolean that is ``True`` if the barrier is in the broken state.
.. exception:: BrokenBarrierError
This exception, a subclass of :exc:RuntimeError, is raised when the
:class:Barrier object is reset or broken.
.. _with-locks:
!with statementAll of the objects provided by this module that have acquire and
release methods can be used as context managers for a :keyword:with
statement. The acquire method will be called when the block is
entered, and release will be called when the block is exited. Hence,
the following snippet::
with some_lock: # do something...
is equivalent to::
some_lock.acquire() try: # do something... finally: some_lock.release()
Currently, :class:Lock, :class:RLock, :class:Condition,
:class:Semaphore, and :class:BoundedSemaphore objects may be used as
:keyword:with statement context managers.