bpo-43987: Add "Annotations Best Practices" HOWTO doc. (#25746)

Add "Annotations Best Practices" HOWTO doc.
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@ -57,6 +57,8 @@ Glossary
See :term:`variable annotation`, :term:`function annotation`, :pep:`484`
and :pep:`526`, which describe this functionality.
Also see :ref:`annotations-howto`
for best practices on working with annotations.
argument
A value passed to a :term:`function` (or :term:`method`) when calling the
@ -455,6 +457,8 @@ Glossary
See :term:`variable annotation` and :pep:`484`,
which describe this functionality.
Also see :ref:`annotations-howto`
for best practices on working with annotations.
__future__
A pseudo-module which programmers can use to enable new language features
@ -1211,6 +1215,8 @@ Glossary
See :term:`function annotation`, :pep:`484`
and :pep:`526`, which describe this functionality.
Also see :ref:`annotations-howto`
for best practices on working with annotations.
virtual environment
A cooperatively isolated runtime environment that allows Python users

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Doc/howto/annotations.rst Normal file
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@ -0,0 +1,226 @@
.. _annotations-howto:
**************************
Annotations Best Practices
**************************
:author: Larry Hastings
.. topic:: Abstract
This document is designed to encapsulate the best practices
for working with annotations dicts. If you write Python code
that examines ``__annotations__`` on Python objects, we
encourage you to follow the guidelines described below.
The document is organized into four sections:
best practices for accessing the annotations of an object
in Python versions 3.10 and newer,
best practices for accessing the annotations of an object
in Python versions 3.9 and older,
other best practices
for ``__annotations__`` that apply to any Python version,
and
quirks of ``__annotations__``.
Note that this document is specifically about working with
``__annotations__``, not uses *for* annotations.
If you're looking for information on how to use "type hints"
in your code, please see the :mod:`typing` module.
Accessing The Annotations Dict Of An Object In Python 3.10 And Newer
====================================================================
Python 3.10 adds a new function to the standard library:
:func:`inspect.get_annotations`. In Python versions 3.10
and newer, calling this function is the best practice for
accessing the annotations dict of any object that supports
annotations. This function can also "un-stringize"
stringized annotations for you.
If for some reason :func:`inspect.get_annotations` isn't
viable for your use case, you may access the
``__annotations__`` data member manually. Best practice
for this changed in Python 3.10 as well: as of Python 3.10,
``o.__annotations__`` is guaranteed to *always* work
on Python functions, classes, and modules. If you're
certain the object you're examining is one of these three
*specific* objects, you may simply use ``o.__annotations__``
to get at the object's annotations dict.
However, other types of callables--for example,
callables created by :func:`functools.partial`--may
not have an ``__annotations__`` attribute defined. When
accessing the ``__annotations__`` of a possibly unknown
object, best practice in Python versions 3.10 and
newer is to call :func:`getattr` with three arguments,
for example ``getattr(o, '__annotations__', None)``.
Accessing The Annotations Dict Of An Object In Python 3.9 And Older
===================================================================
In Python 3.9 and older, accessing the annotations dict
of an object is much more complicated than in newer versions.
The problem is a design flaw in these older versions of Python,
specifically to do with class annotations.
Best practice for accessing the annotations dict of other
objects--functions, other callables, and modules--is the same
as best practice for 3.10, assuming you aren't calling
:func:`inspect.get_annotations`: you should use three-argument
:func:`getattr` to access the object's ``__annotations__``
attribute.
Unfortunately, this isn't best practice for classes. The problem
is that, since ``__annotations__`` is optional on classes, and
because classes can inherit attributes from their base classes,
accessing the ``__annotations__`` attribute of a class may
inadvertently return the annotations dict of a *base class.*
As an example::
class Base:
a: int = 3
b: str = 'abc'
class Derived(Base):
pass
print(Derived.__annotations__)
This will print the annotations dict from ``Base``, not
``Derived``.
Your code will have to have a separate code path if the object
you're examining is a class (``isinstance(o, type)``).
In that case, best practice relies on an implementation detail
of Python 3.9 and before: if a class has annotations defined,
they are stored in the class's ``__dict__`` dictionary. Since
the class may or may not have annotations defined, best practice
is to call the ``get`` method on the class dict.
To put it all together, here is some sample code that safely
accesses the ``__annotations__`` attribute on an arbitrary
object in Python 3.9 and before::
if isinstance(o, type):
ann = o.__dict__.get('__annotations__', None)
else:
ann = getattr(o, '__annotations__', None)
After running this code, ``ann`` should be either a
dictionary or ``None``. You're encouraged to double-check
the type of ``ann`` using :func:`isinstance` before further
examination.
Note that some exotic or malformed type objects may not have
a ``__dict__`` attribute, so for extra safety you may also wish
to use :func:`getattr` to access ``__dict__``.
Manually Un-Stringizing Stringized Annotations
==============================================
In situations where some annotations may be "stringized",
and you wish to evaluate those strings to produce the
Python values they represent, it really is best to
call :func:`inspect.get_annotations` to do this work
for you.
If you're using Python 3.9 or older, or if for some reason
you can't use :func:`inspect.get_annotations`, you'll need
to duplicate its logic. You're encouraged to examine the
implementation of :func:`inspect.get_annotations` in the
current Python version and follow a similar approach.
In a nutshell, if you wish to evaluate a stringized annotation
on an arbitrary object ``o``:
* If ``o`` is a module, use ``o.__dict__`` as the
``globals`` when calling :func:`eval`.
* If ``o`` is a class, use ``sys.modules[o.__module__].__dict__``
as the ``globals``, and ``dict(vars(o))`` as the ``locals``,
when calling :func:`eval`.
* If ``o`` is a wrapped callable using :func:`functools.update_wrapper`,
:func:`functools.wraps`, or :func:`functools.partial`, iteratively
unwrap it by accessing either ``o.__wrapped__`` or ``o.func`` as
appropriate, until you have found the root unwrapped function.
* If ``o`` is a callable (but not a class), use
``o.__globals__`` as the globals when calling :func:`eval`.
However, not all string values used as annotations can
be successfully turned into Python values by :func:`eval`.
String values could theoretically contain any valid string,
and in practice there are valid use cases for type hints that
require annotating with string values that specifically
*can't* be evaluated. For example:
* :pep:`604` union types using `|`, before support for this
was added to Python 3.10.
* Definitions that aren't needed at runtime, only imported
when :const:`typing.TYPE_CHECKING` is true.
If :func:`eval` attempts to evaluate such values, it will
fail and raise an exception. So, when designing a library
API that works with annotations, it's recommended to only
attempt to evaluate string values when explicitly requested
to by the caller.
Best Practices For ``__annotations__`` In Any Python Version
============================================================
* You should avoid assigning to the ``__annotations__`` member
of objects directly. Let Python manage setting ``__annotations__``.
* If you do assign directly to the ``__annotations__`` member
of an object, you should always set it to a ``dict`` object.
* If you directly access the ``__annotations__`` member
of an object, you should ensure that it's a
dictionary before attempting to examine its contents.
* You should avoid modifying ``__annotations__`` dicts.
* You should avoid deleting the ``__annotations__`` attribute
of an object.
``__annotations__`` Quirks
==========================
In all versions of Python 3, function
objects lazy-create an annotations dict if no annotations
are defined on that object. You can delete the ``__annotations__``
attribute using ``del fn.__annotations__``, but if you then
access ``fn.__annotations__`` the object will create a new empty dict
that it will store and return as its annotations. Deleting the
annotations on a function before it has lazily created its annotations
dict will throw an ``AttributeError``; using ``del fn.__annotations__``
twice in a row is guaranteed to always throw an ``AttributeError``.
Everything in the above paragraph also applies to class and module
objects in Python 3.10 and newer.
In all versions of Python 3, you can set ``__annotations__``
on a function object to ``None``. However, subsequently
accessing the annotations on that object using ``fn.__annotations__``
will lazy-create an empty dictionary as per the first paragraph of
this section. This is *not* true of modules and classes, in any Python
version; those objects permit setting ``__annotations__`` to any
Python value, and will retain whatever value is set.
If Python stringizes your annotations for you
(using ``from __future__ import annotations``), and you
specify a string as an annotation, the string will
itself be quoted. In effect the annotation is quoted
*twice.* For example::
from __future__ import annotations
def foo(a: "str"): pass
print(foo.__annotations__)
This prints ``{'a': "'str'"}``. This shouldn't really be considered
a "quirk"; it's mentioned here simply because it might be surprising.

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@ -30,4 +30,5 @@ Currently, the HOWTOs are:
ipaddress.rst
clinic.rst
instrumentation.rst
annotations.rst

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@ -1149,6 +1149,9 @@ Classes and functions
with the result of calling :func:`eval()` on those values:
* If eval_str is true, :func:`eval()` is called on values of type ``str``.
(Note that ``get_annotations`` doesn't catch exceptions; if :func:`eval()`
raises an exception, it will unwind the stack past the ``get_annotations``
call.)
* If eval_str is false (the default), values of type ``str`` are unchanged.
``globals`` and ``locals`` are passed in to :func:`eval()`; see the documentation
@ -1164,6 +1167,10 @@ Classes and functions
although if ``obj`` is a wrapped function (using
``functools.update_wrapper()``) it is first unwrapped.
Calling ``get_annotations`` is best practice for accessing the
annotations dict of any object. See :ref:`annotations-howto` for
more information on annotations best practices.
.. versionadded:: 3.10

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@ -553,7 +553,10 @@ Callable types
| | the dict are the parameter | |
| | names, and ``'return'`` for | |
| | the return annotation, if | |
| | provided. | |
| | provided. For more | |
| | information on working with | |
| | this attribute, see | |
| | :ref:`annotations-howto`. | |
+-------------------------+-------------------------------+-----------+
| :attr:`__kwdefaults__` | A dict containing defaults | Writable |
| | for keyword-only parameters. | |
@ -748,16 +751,29 @@ Modules
single: __annotations__ (module attribute)
pair: module; namespace
Predefined (writable) attributes: :attr:`__name__` is the module's name;
:attr:`__doc__` is the module's documentation string, or ``None`` if
unavailable; :attr:`__annotations__` (optional) is a dictionary containing
:term:`variable annotations <variable annotation>` collected during module
body execution; :attr:`__file__` is the pathname of the file from which the
module was loaded, if it was loaded from a file. The :attr:`__file__`
attribute may be missing for certain types of modules, such as C modules
that are statically linked into the interpreter; for extension modules
loaded dynamically from a shared library, it is the pathname of the shared
library file.
Predefined (writable) attributes:
:attr:`__name__`
The module's name.
:attr:`__doc__`
The module's documentation string, or ``None`` if
unavailable.
:attr:`__file__`
The pathname of the file from which the
module was loaded, if it was loaded from a file.
The :attr:`__file__`
attribute may be missing for certain types of modules, such as C modules
that are statically linked into the interpreter. For extension modules
loaded dynamically from a shared library, it's the pathname of the shared
library file.
:attr:`__annotations__`
A dictionary containing
:term:`variable annotations <variable annotation>` collected during
module body execution. For best practices on working
with :attr:`__annotations__`, please see :ref:`annotations-howto`.
.. index:: single: __dict__ (module attribute)
@ -821,14 +837,30 @@ Custom classes
single: __doc__ (class attribute)
single: __annotations__ (class attribute)
Special attributes: :attr:`~definition.__name__` is the class name; :attr:`__module__` is
the module name in which the class was defined; :attr:`~object.__dict__` is the
dictionary containing the class's namespace; :attr:`~class.__bases__` is a
tuple containing the base classes, in the order of their occurrence in the
base class list; :attr:`__doc__` is the class's documentation string,
or ``None`` if undefined; :attr:`__annotations__` (optional) is a dictionary
containing :term:`variable annotations <variable annotation>` collected during
class body execution.
Special attributes:
:attr:`~definition.__name__`
The class name.
:attr:`__module__`
The name of the module in which the class was defined.
:attr:`~object.__dict__`
The dictionary containing the class's namespace.
:attr:`~class.__bases__`
A tuple containing the base classes, in the order of
their occurrence in the base class list.
:attr:`__doc__`
The class's documentation string, or ``None`` if undefined.
:attr:`__annotations__`
A dictionary containing
:term:`variable annotations <variable annotation>`
collected during class body execution. For best practices on
working with :attr:`__annotations__`, please see
:ref:`annotations-howto`.
Class instances
.. index::

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@ -807,7 +807,9 @@ Other Language Changes
* Class and module objects now lazy-create empty annotations dicts on demand.
The annotations dicts are stored in the objects ``__dict__`` for
backwards compatibility.
backwards compatibility. This improves the best practices for working
with ``__annotations__``; for more information, please see
:ref:`annotations-howto`.
(Contributed by Larry Hastings in :issue:`43901`.)
New Modules
@ -996,7 +998,9 @@ defined on an object. It works around the quirks of accessing the annotations
on various types of objects, and makes very few assumptions about the object
it examines. :func:`inspect.get_annotations` can also correctly un-stringize
stringized annotations. :func:`inspect.get_annotations` is now considered
best practice for accessing the annotations dict defined on any Python object.
best practice for accessing the annotations dict defined on any Python object;
for more information on best practices for working with annotations, please see
:ref:`annotations-howto`.
Relatedly, :func:`inspect.signature`,
:func:`inspect.Signature.from_callable`, and ``inspect.Signature.from_function``
now call :func:`inspect.get_annotations` to retrieve annotations. This means

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@ -0,0 +1 @@
Add "Annotations Best Practices" document as a new HOWTO.