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2 changes: 1 addition & 1 deletion Doc/faq/programming.rst
Original file line number Diff line number Diff line change
Expand Up @@ -1074,7 +1074,7 @@ Performance
My program is too slow. How do I speed it up?
---------------------------------------------

That's a tough one, in general. First, here is list of things to
That's a tough one, in general. First, here is a list of things to
remember before diving further:

* Performance characteristics vary across Python implementations. This FAQ
Expand Down
8 changes: 4 additions & 4 deletions Doc/howto/enum.rst
Original file line number Diff line number Diff line change
Expand Up @@ -105,8 +105,8 @@ The complete :class:`!Weekday` enum now looks like this::

Now we can find out what today is! Observe::

>>> from datetime import date
>>> Weekday.from_date(date.today()) # doctest: +SKIP
>>> import datetime as dt
>>> Weekday.from_date(dt.date.today()) # doctest: +SKIP
<Weekday.TUESDAY: 2>

Of course, if you're reading this on some other day, you'll see that day instead.
Expand Down Expand Up @@ -1480,8 +1480,8 @@ TimePeriod

An example to show the :attr:`~Enum._ignore_` attribute in use::

>>> from datetime import timedelta
>>> class Period(timedelta, Enum):
>>> import datetime as dt
>>> class Period(dt.timedelta, Enum):
... "different lengths of time"
... _ignore_ = 'Period i'
... Period = vars()
Expand Down
11 changes: 5 additions & 6 deletions Doc/howto/logging-cookbook.rst
Original file line number Diff line number Diff line change
Expand Up @@ -1549,10 +1549,10 @@ to this (remembering to first import :mod:`concurrent.futures`)::
for i in range(10):
executor.submit(worker_process, queue, worker_configurer)

Deploying Web applications using Gunicorn and uWSGI
Deploying web applications using Gunicorn and uWSGI
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

When deploying Web applications using `Gunicorn <https://gunicorn.org/>`_ or `uWSGI
When deploying web applications using `Gunicorn <https://gunicorn.org/>`_ or `uWSGI
<https://uwsgi-docs.readthedocs.io/en/latest/>`_ (or similar), multiple worker
processes are created to handle client requests. In such environments, avoid creating
file-based handlers directly in your web application. Instead, use a
Expand Down Expand Up @@ -3616,7 +3616,6 @@ detailed information.

.. code-block:: python3
import datetime
import logging
import random
import sys
Expand Down Expand Up @@ -3851,15 +3850,15 @@ Logging to syslog with RFC5424 support
Although :rfc:`5424` dates from 2009, most syslog servers are configured by default to
use the older :rfc:`3164`, which hails from 2001. When ``logging`` was added to Python
in 2003, it supported the earlier (and only existing) protocol at the time. Since
RFC5424 came out, as there has not been widespread deployment of it in syslog
RFC 5424 came out, as there has not been widespread deployment of it in syslog
servers, the :class:`~logging.handlers.SysLogHandler` functionality has not been
updated.

RFC 5424 contains some useful features such as support for structured data, and if you
need to be able to log to a syslog server with support for it, you can do so with a
subclassed handler which looks something like this::

import datetime
import datetime as dt
import logging.handlers
import re
import socket
Expand All @@ -3877,7 +3876,7 @@ subclassed handler which looks something like this::

def format(self, record):
version = 1
asctime = datetime.datetime.fromtimestamp(record.created).isoformat()
asctime = dt.datetime.fromtimestamp(record.created).isoformat()
m = self.tz_offset.match(time.strftime('%z'))
has_offset = False
if m and time.timezone:
Expand Down
8 changes: 4 additions & 4 deletions Doc/includes/diff.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
""" Command line interface to difflib.py providing diffs in four formats:
""" Command-line interface to difflib.py providing diffs in four formats:
* ndiff: lists every line and highlights interline changes.
* context: highlights clusters of changes in a before/after format.
Expand All @@ -8,11 +8,11 @@
"""

import sys, os, difflib, argparse
from datetime import datetime, timezone
import datetime as dt

def file_mtime(path):
t = datetime.fromtimestamp(os.stat(path).st_mtime,
timezone.utc)
t = dt.datetime.fromtimestamp(os.stat(path).st_mtime,
dt.timezone.utc)
return t.astimezone().isoformat()

def main():
Expand Down
222 changes: 222 additions & 0 deletions Doc/library/asyncio-dev.rst
Original file line number Diff line number Diff line change
Expand Up @@ -248,3 +248,225 @@ Output in debug mode::
File "../t.py", line 4, in bug
raise Exception("not consumed")
Exception: not consumed


Asynchronous generators best practices
======================================

Writing correct and efficient asyncio code requires awareness of certain pitfalls.
This section outlines essential best practices that can save you hours of debugging.


Close asynchronous generators explicitly
----------------------------------------

It is recommended to manually close the
:term:`asynchronous generator <asynchronous generator iterator>`. If a generator
exits early - for example, due to an exception raised in the body of
an ``async for`` loop - its asynchronous cleanup code may run in an
unexpected context. This can occur after the tasks it depends on have completed,
or during the event loop shutdown when the async-generator's garbage collection
hook is called.

To avoid this, explicitly close the generator by calling its
:meth:`~agen.aclose` method, or use the :func:`contextlib.aclosing`
context manager::

import asyncio
import contextlib

async def gen():
yield 1
yield 2

async def func():
async with contextlib.aclosing(gen()) as g:
async for x in g:
break # Don't iterate until the end

asyncio.run(func())

As noted above, the cleanup code for these asynchronous generators is deferred.
The following example demonstrates that the finalization of an asynchronous
generator can occur in an unexpected order::

import asyncio
work_done = False

async def cursor():
try:
yield 1
finally:
assert work_done

async def rows():
global work_done
try:
yield 2
finally:
await asyncio.sleep(0.1) # immitate some async work
work_done = True


async def main():
async for c in cursor():
async for r in rows():
break
break

asyncio.run(main())

For this example, we get the following output::

unhandled exception during asyncio.run() shutdown
task: <Task finished name='Task-3' coro=<<async_generator_athrow without __name__>()> exception=AssertionError()>
Traceback (most recent call last):
File "example.py", line 6, in cursor
yield 1
asyncio.exceptions.CancelledError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "example.py", line 8, in cursor
assert work_done
^^^^^^^^^
AssertionError

The ``cursor()`` asynchronous generator was finalized before the ``rows``
generator - an unexpected behavior.

The example can be fixed by explicitly closing the
``cursor`` and ``rows`` async-generators::

async def main():
async with contextlib.aclosing(cursor()) as cursor_gen:
async for c in cursor_gen:
async with contextlib.aclosing(rows()) as rows_gen:
async for r in rows_gen:
break
break


Create asynchronous generators only when the event loop is running
------------------------------------------------------------------

It is recommended to create
:term:`asynchronous generators <asynchronous generator iterator>` only after
the event loop has been created.

To ensure that asynchronous generators close reliably, the event loop uses the
:func:`sys.set_asyncgen_hooks` function to register callback functions. These
callbacks update the list of running asynchronous generators to keep it in a
consistent state.

When the :meth:`loop.shutdown_asyncgens() <asyncio.loop.shutdown_asyncgens>`
function is called, the running generators are stopped gracefully and the
list is cleared.

The asynchronous generator invokes the corresponding system hook during its
first iteration. At the same time, the generator records that the hook has
been called and does not call it again.

Therefore, if iteration begins before the event loop is created,
the event loop will not be able to add the generator to its list of active
generators because the hooks are set after the generator attempts to call them.
Consequently, the event loop will not be able to terminate the generator
if necessary.

Consider the following example::

import asyncio

async def agenfn():
try:
yield 10
finally:
await asyncio.sleep(0)


with asyncio.Runner() as runner:
agen = agenfn()
print(runner.run(anext(agen)))
del agen

Output::

10
Exception ignored while closing generator <async_generator object agenfn at 0x000002F71CD10D70>:
Traceback (most recent call last):
File "example.py", line 13, in <module>
del agen
^^^^
RuntimeError: async generator ignored GeneratorExit

This example can be fixed as follows::

import asyncio

async def agenfn():
try:
yield 10
finally:
await asyncio.sleep(0)

async def main():
agen = agenfn()
print(await anext(agen))
del agen

asyncio.run(main())


Avoid concurrent iteration and closure of the same generator
------------------------------------------------------------

Async generators may be reentered while another
:meth:`~agen.__anext__` / :meth:`~agen.athrow` / :meth:`~agen.aclose` call is in
progress. This may lead to an inconsistent state of the async generator and can
cause errors.

Let's consider the following example::

import asyncio

async def consumer():
for idx in range(100):
await asyncio.sleep(0)
message = yield idx
print('received', message)

async def amain():
agenerator = consumer()
await agenerator.asend(None)

fa = asyncio.create_task(agenerator.asend('A'))
fb = asyncio.create_task(agenerator.asend('B'))
await fa
await fb

asyncio.run(amain())

Output::

received A
Traceback (most recent call last):
File "test.py", line 38, in <module>
asyncio.run(amain())
~~~~~~~~~~~^^^^^^^^^
File "Lib/asyncio/runners.py", line 204, in run
return runner.run(main)
~~~~~~~~~~^^^^^^
File "Lib/asyncio/runners.py", line 127, in run
return self._loop.run_until_complete(task)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^
File "Lib/asyncio/base_events.py", line 719, in run_until_complete
return future.result()
~~~~~~~~~~~~~^^
File "test.py", line 36, in amain
await fb
RuntimeError: anext(): asynchronous generator is already running


Therefore, it is recommended to avoid using asynchronous generators in parallel
tasks or across multiple event loops.
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