mirror of https://github.com/python/cpython
536 lines
17 KiB
ReStructuredText
536 lines
17 KiB
ReStructuredText
.. currentmodule:: asyncio
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Tasks and coroutines
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====================
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.. _coroutine:
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Coroutines
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----------
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A coroutine is a generator that follows certain conventions. For
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documentation purposes, all coroutines should be decorated with
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``@asyncio.coroutine``, but this cannot be strictly enforced.
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Coroutines use the ``yield from`` syntax introduced in :pep:`380`,
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instead of the original ``yield`` syntax.
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The word "coroutine", like the word "generator", is used for two
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different (though related) concepts:
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- The function that defines a coroutine (a function definition
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decorated with ``@asyncio.coroutine``). If disambiguation is needed
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we will call this a *coroutine function* (:func:`iscoroutinefunction`
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returns ``True``).
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- The object obtained by calling a coroutine function. This object
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represents a computation or an I/O operation (usually a combination)
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that will complete eventually. If disambiguation is needed we will
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call it a *coroutine object* (:func:`iscoroutine` returns ``True``).
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Things a coroutine can do:
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- ``result = yield from future`` -- suspends the coroutine until the
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future is done, then returns the future's result, or raises an
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exception, which will be propagated. (If the future is cancelled,
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it will raise a ``CancelledError`` exception.) Note that tasks are
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futures, and everything said about futures also applies to tasks.
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- ``result = yield from coroutine`` -- wait for another coroutine to
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produce a result (or raise an exception, which will be propagated).
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The ``coroutine`` expression must be a *call* to another coroutine.
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- ``return expression`` -- produce a result to the coroutine that is
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waiting for this one using ``yield from``.
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- ``raise exception`` -- raise an exception in the coroutine that is
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waiting for this one using ``yield from``.
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Calling a coroutine does not start its code running -- it is just a
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generator, and the coroutine object returned by the call is really a
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generator object, which doesn't do anything until you iterate over it.
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In the case of a coroutine object, there are two basic ways to start
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it running: call ``yield from coroutine`` from another coroutine
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(assuming the other coroutine is already running!), or convert it to a
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:class:`Task`.
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Coroutines (and tasks) can only run when the event loop is running.
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.. decorator:: coroutine
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Decorator to mark coroutines.
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If the coroutine is not yielded from before it is destroyed, an error
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message is logged. See :ref:`Detect coroutines never scheduled
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<asyncio-coroutine-not-scheduled>`.
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.. _asyncio-hello-world-coroutine:
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Example: "Hello World" coroutine
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Print ``"Hello World"`` every two seconds using a coroutine::
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import asyncio
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@asyncio.coroutine
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def greet_every_two_seconds():
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while True:
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print('Hello World')
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yield from asyncio.sleep(2)
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loop = asyncio.get_event_loop()
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loop.run_until_complete(greet_every_two_seconds())
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.. seealso::
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:ref:`Hello World example using a callback <asyncio-hello-world-callback>`.
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Example: Chain coroutines
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^^^^^^^^^^^^^^^^^^^^^^^^^
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Example chaining coroutines::
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import asyncio
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@asyncio.coroutine
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def compute(x, y):
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print("Compute %s + %s ..." % (x, y))
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yield from asyncio.sleep(1.0)
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return x + y
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@asyncio.coroutine
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def print_sum(x, y):
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result = yield from compute(x, y)
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print("%s + %s = %s" % (x, y, result))
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loop = asyncio.get_event_loop()
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loop.run_until_complete(print_sum(1, 2))
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loop.close()
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``compute()`` is chained to ``print_sum()``: ``print_sum()`` coroutine waits
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until ``compute()`` is completed before returning its result.
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Sequence diagram of the example:
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.. image:: tulip_coro.png
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:align: center
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The "Task" is created by the :meth:`BaseEventLoop.run_until_complete` method
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when it gets a coroutine object instead of a task.
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The diagram shows the control flow, it does not describe exactly how things
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work internally. For example, the sleep coroutine creates an internal future
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which uses :meth:`BaseEventLoop.call_later` to wake up the task in 1 second.
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InvalidStateError
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-----------------
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.. exception:: InvalidStateError
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The operation is not allowed in this state.
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Future
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------
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.. class:: Future(\*, loop=None)
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This class is *almost* compatible with :class:`concurrent.futures.Future`.
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Differences:
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- :meth:`result` and :meth:`exception` do not take a timeout argument and
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raise an exception when the future isn't done yet.
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- Callbacks registered with :meth:`add_done_callback` are always called
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via the event loop's :meth:`~BaseEventLoop.call_soon_threadsafe`.
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- This class is not compatible with the :func:`~concurrent.futures.wait` and
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:func:`~concurrent.futures.as_completed` functions in the
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:mod:`concurrent.futures` package.
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.. method:: cancel()
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Cancel the future and schedule callbacks.
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If the future is already done or cancelled, return ``False``. Otherwise,
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change the future's state to cancelled, schedule the callbacks and return
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``True``.
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.. method:: cancelled()
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Return ``True`` if the future was cancelled.
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.. method:: done()
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Return True if the future is done.
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Done means either that a result / exception are available, or that the
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future was cancelled.
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.. method:: result()
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Return the result this future represents.
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If the future has been cancelled, raises :exc:`CancelledError`. If the
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future's result isn't yet available, raises :exc:`InvalidStateError`. If
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the future is done and has an exception set, this exception is raised.
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.. method:: exception()
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Return the exception that was set on this future.
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The exception (or ``None`` if no exception was set) is returned only if
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the future is done. If the future has been cancelled, raises
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:exc:`CancelledError`. If the future isn't done yet, raises
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:exc:`InvalidStateError`.
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.. method:: add_done_callback(fn)
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Add a callback to be run when the future becomes done.
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The callback is called with a single argument - the future object. If the
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future is already done when this is called, the callback is scheduled
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with :meth:`~BaseEventLoop.call_soon`.
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.. method:: remove_done_callback(fn)
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Remove all instances of a callback from the "call when done" list.
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Returns the number of callbacks removed.
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.. method:: set_result(result)
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Mark the future done and set its result.
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If the future is already done when this method is called, raises
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:exc:`InvalidStateError`.
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.. method:: set_exception(exception)
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Mark the future done and set an exception.
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If the future is already done when this method is called, raises
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:exc:`InvalidStateError`.
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Example: Future with run_until_complete()
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Example combining a :class:`Future` and a :ref:`coroutine function
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<coroutine>`::
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import asyncio
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@asyncio.coroutine
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def slow_operation(future):
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yield from asyncio.sleep(1)
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future.set_result('Future is done!')
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loop = asyncio.get_event_loop()
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future = asyncio.Future()
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asyncio.Task(slow_operation(future))
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loop.run_until_complete(future)
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print(future.result())
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loop.close()
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The coroutine function is responsible of the computation (which takes 1 second)
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and it stores the result into the future. The
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:meth:`~BaseEventLoop.run_until_complete` method waits for the completion of
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the future.
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.. note::
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The :meth:`~BaseEventLoop.run_until_complete` method uses internally the
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:meth:`~Future.add_done_callback` method to be notified when the future is
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done.
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Example: Future with run_forever()
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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The previous example can be written differently using the
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:meth:`Future.add_done_callback` method to describe explicitly the control
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flow::
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import asyncio
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@asyncio.coroutine
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def slow_operation(future):
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yield from asyncio.sleep(1)
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future.set_result('Future is done!')
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def got_result(future):
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print(future.result())
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loop.stop()
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loop = asyncio.get_event_loop()
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future = asyncio.Future()
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asyncio.Task(slow_operation(future))
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future.add_done_callback(got_result)
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try:
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loop.run_forever()
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finally:
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loop.close()
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In this example, the future is responsible to display the result and to stop
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the loop.
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.. note::
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The "slow_operation" coroutine object is only executed when the event loop
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starts running, so it is possible to add a "done callback" to the future
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after creating the task scheduling the coroutine object.
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Task
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----
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.. class:: Task(coro, \*, loop=None)
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A coroutine object wrapped in a :class:`Future`. Subclass of :class:`Future`.
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.. classmethod:: all_tasks(loop=None)
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Return a set of all tasks for an event loop.
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By default all tasks for the current event loop are returned.
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.. classmethod:: current_task(loop=None)
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Return the currently running task in an event loop or ``None``.
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By default the current task for the current event loop is returned.
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``None`` is returned when called not in the context of a :class:`Task`.
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.. method:: get_stack(self, \*, limit=None)
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Return the list of stack frames for this task's coroutine.
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If the coroutine is active, this returns the stack where it is suspended.
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If the coroutine has completed successfully or was cancelled, this
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returns an empty list. If the coroutine was terminated by an exception,
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this returns the list of traceback frames.
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The frames are always ordered from oldest to newest.
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The optional limit gives the maximum number of frames to return; by
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default all available frames are returned. Its meaning differs depending
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on whether a stack or a traceback is returned: the newest frames of a
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stack are returned, but the oldest frames of a traceback are returned.
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(This matches the behavior of the traceback module.)
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For reasons beyond our control, only one stack frame is returned for a
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suspended coroutine.
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.. method:: print_stack(\*, limit=None, file=None)
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Print the stack or traceback for this task's coroutine.
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This produces output similar to that of the traceback module, for the
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frames retrieved by get_stack(). The limit argument is passed to
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get_stack(). The file argument is an I/O stream to which the output
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goes; by default it goes to sys.stderr.
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Example: Parallel execution of tasks
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Example executing 3 tasks (A, B, C) in parallel::
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import asyncio
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@asyncio.coroutine
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def factorial(name, number):
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f = 1
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for i in range(2, number+1):
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print("Task %s: Compute factorial(%s)..." % (name, i))
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yield from asyncio.sleep(1)
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f *= i
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print("Task %s: factorial(%s) = %s" % (name, number, f))
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tasks = [
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asyncio.Task(factorial("A", 2)),
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asyncio.Task(factorial("B", 3)),
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asyncio.Task(factorial("C", 4))]
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loop = asyncio.get_event_loop()
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loop.run_until_complete(asyncio.wait(tasks))
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loop.close()
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Output::
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Task A: Compute factorial(2)...
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Task B: Compute factorial(2)...
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Task C: Compute factorial(2)...
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Task A: factorial(2) = 2
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Task B: Compute factorial(3)...
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Task C: Compute factorial(3)...
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Task B: factorial(3) = 6
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Task C: Compute factorial(4)...
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Task C: factorial(4) = 24
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A task is automatically scheduled for execution when it is created. The event
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loop stops when all tasks are done.
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Task functions
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--------------
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.. note::
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In the functions below, the optional *loop* argument allows to explicitly set
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the event loop object used by the underlying task or coroutine. If it's
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not provided, the default event loop is used.
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.. function:: as_completed(fs, \*, loop=None, timeout=None)
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Return an iterator whose values, when waited for, are :class:`Future`
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instances.
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Raises :exc:`TimeoutError` if the timeout occurs before all Futures are done.
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Example::
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for f in as_completed(fs):
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result = yield from f # The 'yield from' may raise
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# Use result
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.. note::
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The futures ``f`` are not necessarily members of fs.
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.. function:: async(coro_or_future, \*, loop=None)
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Wrap a :ref:`coroutine object <coroutine>` in a future.
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If the argument is a :class:`Future`, it is returned directly.
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.. function:: gather(\*coros_or_futures, loop=None, return_exceptions=False)
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Return a future aggregating results from the given coroutine objects or
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futures.
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All futures must share the same event loop. If all the tasks are done
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successfully, the returned future's result is the list of results (in the
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order of the original sequence, not necessarily the order of results
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arrival). If *return_exceptions* is True, exceptions in the tasks are
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treated the same as successful results, and gathered in the result list;
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otherwise, the first raised exception will be immediately propagated to the
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returned future.
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Cancellation: if the outer Future is cancelled, all children (that have not
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completed yet) are also cancelled. If any child is cancelled, this is
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treated as if it raised :exc:`~concurrent.futures.CancelledError` -- the
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outer Future is *not* cancelled in this case. (This is to prevent the
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cancellation of one child to cause other children to be cancelled.)
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.. function:: iscoroutine(obj)
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Return ``True`` if *obj* is a :ref:`coroutine object <coroutine>`.
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.. function:: iscoroutinefunction(obj)
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Return ``True`` if *func* is a decorated :ref:`coroutine function
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<coroutine>`.
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.. function:: sleep(delay, result=None, \*, loop=None)
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Create a :ref:`coroutine object <coroutine>` that completes after a given
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time (in seconds). If *result* is provided, it is produced to the caller
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when the coroutine completes.
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The resolution of the sleep depends on the :ref:`granularity of the event
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loop <asyncio-delayed-calls>`.
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.. function:: shield(arg, \*, loop=None)
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Wait for a future, shielding it from cancellation.
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The statement::
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res = yield from shield(something())
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is exactly equivalent to the statement::
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res = yield from something()
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*except* that if the coroutine containing it is cancelled, the task running
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in ``something()`` is not cancelled. From the point of view of
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``something()``, the cancellation did not happen. But its caller is still
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cancelled, so the yield-from expression still raises
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:exc:`~concurrent.futures.CancelledError`. Note: If ``something()`` is
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cancelled by other means this will still cancel ``shield()``.
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If you want to completely ignore cancellation (not recommended) you can
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combine ``shield()`` with a try/except clause, as follows::
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try:
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res = yield from shield(something())
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except CancelledError:
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res = None
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.. function:: wait(futures, \*, loop=None, timeout=None, return_when=ALL_COMPLETED)
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Wait for the Futures and coroutine objects given by the sequence *futures*
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to complete. Coroutines will be wrapped in Tasks. Returns two sets of
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:class:`Future`: (done, pending).
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*timeout* can be used to control the maximum number of seconds to wait before
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returning. *timeout* can be an int or float. If *timeout* is not specified
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or ``None``, there is no limit to the wait time.
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*return_when* indicates when this function should return. It must be one of
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the following constants of the :mod:`concurrent.futures` module:
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.. tabularcolumns:: |l|L|
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+-----------------------------+----------------------------------------+
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| Constant | Description |
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+=============================+========================================+
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| :const:`FIRST_COMPLETED` | The function will return when any |
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| | future finishes or is cancelled. |
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+-----------------------------+----------------------------------------+
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| :const:`FIRST_EXCEPTION` | The function will return when any |
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| | future finishes by raising an |
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| | exception. If no future raises an |
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| | exception then it is equivalent to |
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| | :const:`ALL_COMPLETED`. |
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+-----------------------------+----------------------------------------+
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| :const:`ALL_COMPLETED` | The function will return when all |
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| | futures finish or are cancelled. |
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+-----------------------------+----------------------------------------+
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This function returns a :ref:`coroutine object <coroutine>`.
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Usage::
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done, pending = yield from asyncio.wait(fs)
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.. note::
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This does not raise :exc:`TimeoutError`! Futures that aren't done when
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the timeout occurs are returned in the second set.
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.. function:: wait_for(fut, timeout, \*, loop=None)
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Wait for the single :class:`Future` or :ref:`coroutine object <coroutine>`
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to complete, with timeout. If *timeout* is ``None``, block until the future
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completes.
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Coroutine will be wrapped in :class:`Task`.
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Returns result of the Future or coroutine. When a timeout occurs, it
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cancels the task and raises :exc:`TimeoutError`. To avoid the task
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cancellation, wrap it in :func:`shield`.
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Usage::
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result = yield from asyncio.wait_for(fut, 60.0)
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