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28 changes: 24 additions & 4 deletions Doc/extending/extending.rst
Original file line number Diff line number Diff line change
Expand Up @@ -204,17 +204,32 @@ value must be in a particular range or must satisfy other conditions,
:c:data:`PyExc_ValueError` is appropriate.

You can also define a new exception that is unique to your module.
For this, you can declare a static global object variable at the beginning
of the file::
The simplest way to do this is to declare a static global object variable at
the beginning of the file::

static PyObject *SpamError;
static PyObject *SpamError = NULL;

and initialize it with an exception object in the module's
and initialize it by calling :c:func:`PyErr_NewException` in the module's
:c:data:`Py_mod_exec` function (:c:func:`!spam_module_exec`)::

SpamError = PyErr_NewException("spam.error", NULL, NULL);

Since :c:data:`!SpamError` is a global variable, it will be overwitten every time
the module is reinitialized, when the :c:data:`Py_mod_exec` function is called.

For now, let's avoid the issue: we will block repeated initialization by raising an
:py:exc:`ImportError`::

static PyObject *SpamError = NULL;

static int
spam_module_exec(PyObject *m)
{
if (SpamError != NULL) {
PyErr_SetString(PyExc_ImportError,
"cannot initialize spam module more than once");
return -1;
}
SpamError = PyErr_NewException("spam.error", NULL, NULL);
if (PyModule_AddObjectRef(m, "SpamError", SpamError) < 0) {
return -1;
Expand Down Expand Up @@ -253,6 +268,11 @@ needed to ensure that it will not be discarded, causing :c:data:`!SpamError` to
become a dangling pointer. Should it become a dangling pointer, C code which
raises the exception could cause a core dump or other unintended side effects.

For now, the :c:func:`Py_DECREF` call to remove this reference is missing.
Even when the Python interpreter shuts down, the global :c:data:`!SpamError`
variable will not be garbage-collected. It will "leak".
We did, however, ensure that this will happen at most once per process.

We discuss the use of :c:macro:`PyMODINIT_FUNC` as a function return type later in this
sample.

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10 changes: 9 additions & 1 deletion Doc/library/logging.handlers.rst
Original file line number Diff line number Diff line change
Expand Up @@ -352,6 +352,10 @@ module, supports rotation of disk log files.
Outputs the record to the file, catering for rollover as described
previously.

.. method:: shouldRollover(record)

See if the supplied record would cause the file to exceed the configured size limit.

.. _timed-rotating-file-handler:

TimedRotatingFileHandler
Expand Down Expand Up @@ -459,7 +463,11 @@ timed intervals.
.. method:: getFilesToDelete()

Returns a list of filenames which should be deleted as part of rollover. These
are the absolute paths of the oldest backup log files written by the handler.

.. method:: shouldRollover(record)

See if enough time has passed for a rollover to occur and if it has, compute
the next rollover time.

.. _socket-handler:

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4 changes: 2 additions & 2 deletions Doc/library/math.rst
Original file line number Diff line number Diff line change
Expand Up @@ -10,8 +10,8 @@

--------------

This module provides access to the mathematical functions defined by the C
standard.
This module provides access to common mathematical functions and constants,
including those defined by the C standard.

These functions cannot be used with complex numbers; use the functions of the
same name from the :mod:`cmath` module if you require support for complex
Expand Down
32 changes: 18 additions & 14 deletions Doc/library/typing.rst
Original file line number Diff line number Diff line change
Expand Up @@ -3530,28 +3530,32 @@ Constant
.. data:: TYPE_CHECKING

A special constant that is assumed to be ``True`` by 3rd party static
type checkers. It is ``False`` at runtime.
type checkers. It's ``False`` at runtime.

A module which is expensive to import, and which only contain types
used for typing annotations, can be safely imported inside an
``if TYPE_CHECKING:`` block. This prevents the module from actually
being imported at runtime; annotations aren't eagerly evaluated
(see :pep:`649`) so using undefined symbols in annotations is
harmless--as long as you don't later examine them.
Your static type analysis tool will set ``TYPE_CHECKING`` to
``True`` during static type analysis, which means the module will
be imported and the types will be checked properly during such analysis.

Usage::

if TYPE_CHECKING:
import expensive_mod

def fun(arg: 'expensive_mod.SomeType') -> None:
def fun(arg: expensive_mod.SomeType) -> None:
local_var: expensive_mod.AnotherType = other_fun()

The first type annotation must be enclosed in quotes, making it a
"forward reference", to hide the ``expensive_mod`` reference from the
interpreter runtime. Type annotations for local variables are not
evaluated, so the second annotation does not need to be enclosed in quotes.

.. note::

If ``from __future__ import annotations`` is used,
annotations are not evaluated at function definition time.
Instead, they are stored as strings in ``__annotations__``.
This makes it unnecessary to use quotes around the annotation
(see :pep:`563`).
If you occasionally need to examine type annotations at runtime
which may contain undefined symbols, use
:meth:`annotationlib.get_annotations` with a ``format`` parameter
of :attr:`annotationlib.Format.STRING` or
:attr:`annotationlib.Format.FORWARDREF` to safely retrieve the
annotations without raising :exc:`NameError`.

.. versionadded:: 3.5.2

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