[Python-Dev] PEP 484 update proposal: annotating decorated declarations
Guido van Rossum
guido at python.org
Tue May 9 13:19:39 EDT 2017
There's a PR to the peps proposal here:
The full text of the current proposal is below. The motivation for this is
that for complex decorators, even if the type checker can figure out what's
going on (by taking the signature of the decorator into account), it's
sometimes helpful to the human reader of the code to be reminded of the
type after applying the decorators (or a stack thereof). Much discussion
can be found in the PR. Note that we ended up having `Callable` in the type
because there's no rule that says a decorator returns a function type (e.g.
This is a small thing but I'd like to run it by a larger audience than the
core mypy devs who have commented so far. There was a brief discussion on
python-ideas (my original
Nick, my response
Credit for the proposal goes to Naomi Seyfer, with discussion by Ivan
Levkivskyi and Jukka Lehtosalo.
If there's no further debate here I'll merge it into the PEP and an
implementation will hopefully appear in the next version of the typing
module (also hopefully to be included in CPython 3.6.2 and 3.5.4).
Here's the proposed text (wordsmithing suggestions in the PR please):
+Decorators can modify the types of the functions or classes they
+decorate. Use the ``decorated_type`` decorator to declare the type of
+the resulting item after all other decorators have been applied::
+ from typing import ContextManager, Iterator, decorated_type
+ from contextlib import contextmanager
+ class DatabaseSession: ...
+ @decorated_type(Callable[[str], ContextManager[DatabaseSession]])
+ def session(url: str) -> Iterator[DatabaseSession]:
+ s = DatabaseSession(url)
+ yield s
+The argument of ``decorated_type`` is a type annotation on the name
+being declared (``session``, in the example above). If you have
+multiple decorators, ``decorated_type`` must be topmost. The
+``decorated_type`` decorator is invalid on a function declaration that
+is also decorated with ``overload``, but you can annotate the
+implementation of the overload series with ``decorated_type``.
--Guido van Rossum (python.org/~guido <http://python.org/%7Eguido>)
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